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<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Anim. Sci.</journal-id>
<journal-title-group>
<journal-title>Frontiers in Animal Science</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Anim. Sci.</abbrev-journal-title>
</journal-title-group>
<issn pub-type="epub">2673-6225</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
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<article-meta>
<article-id pub-id-type="doi">10.3389/fanim.2026.1768519</article-id>
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<article-categories>
<subj-group subj-group-type="heading">
<subject>Hypothesis and Theory</subject>
</subj-group>
</article-categories>
<title-group>
<article-title>The teleonome: a framework for understanding animal welfare integrating adaptive capabilities, affective regulation, agency, and environmental affordances</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" corresp="yes">
<name><surname>Wilkins</surname><given-names>Cristina L.</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="corresp" rid="c001"><sup>*</sup></xref>
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<name><surname>Henshall</surname><given-names>Cathrynne</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
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<contrib contrib-type="author">
<name><surname>Lykins</surname><given-names>Amy D.</given-names></name>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
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<contrib contrib-type="author">
<name><surname>Mellor</surname><given-names>David J.</given-names></name>
<xref ref-type="aff" rid="aff4"><sup>4</sup></xref>
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<contrib contrib-type="author">
<name><surname>Fillios</surname><given-names>Melanie</given-names></name>
<xref ref-type="aff" rid="aff5"><sup>5</sup></xref>
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<contrib contrib-type="author">
<name><surname>McGreevy</surname><given-names>Paul D.</given-names></name>
<xref ref-type="aff" rid="aff6"><sup>6</sup></xref>
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<aff id="aff1"><label>1</label><institution>School of Rural and Environmental Sciences, University of New England</institution>, <city>Armidale</city>, <state>NSW</state>,&#xa0;<country country="au">Australia</country></aff>
<aff id="aff2"><label>2</label><institution>School of Agricultural, Environmental and Veterinary Sciences, Charles Sturt University</institution>, <city>Wagga Wagga</city>, <state>NSW</state>,&#xa0;<country country="au">Australia</country></aff>
<aff id="aff3"><label>3</label><institution>School of Psychology, University of New England</institution>, <city>Armidale</city>, <state>NSW</state>,&#xa0;<country country="au">Australia</country></aff>
<aff id="aff4"><label>4</label><institution>Animal Welfare Science and Bioethics Centre, School of Veterinary Science, Massey University</institution>, <city>Palmerston North</city>,&#xa0;<country country="nz">New Zealand</country></aff>
<aff id="aff5"><label>5</label><institution>School of Humanities, Arts and Social Sciences, University of New England</institution>, <city>Armidale</city>, <state>NSW</state>,&#xa0;<country country="au">Australia</country></aff>
<aff id="aff6"><label>6</label><institution>Sydney School of Veterinary Science, Faculty of Science, University of Sydney</institution>, <city>NSW</city>,&#xa0;<country country="au">Australia</country></aff>
<author-notes>
<corresp id="c001"><label>*</label>Correspondence: Cristina L. Wilkins, <email xlink:href="mailto:cwilki23@myune.edu.au">cwilki23@myune.edu.au</email></corresp>
</author-notes>
<pub-date publication-format="electronic" date-type="pub" iso-8601-date="2026-02-25">
<day>25</day>
<month>02</month>
<year>2026</year>
</pub-date>
<pub-date publication-format="electronic" date-type="collection">
<year>2026</year>
</pub-date>
<volume>7</volume>
<elocation-id>1768519</elocation-id>
<history>
<date date-type="received">
<day>15</day>
<month>12</month>
<year>2025</year>
</date>
<date date-type="accepted">
<day>28</day>
<month>01</month>
<year>2026</year>
</date>
<date date-type="rev-recd">
<day>27</day>
<month>01</month>
<year>2026</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2026 Wilkins, Henshall, Lykins, Mellor, Fillios and McGreevy.</copyright-statement>
<copyright-year>2026</copyright-year>
<copyright-holder>Wilkins, Henshall, Lykins, Mellor, Fillios and McGreevy</copyright-holder>
<license>
<ali:license_ref start_date="2026-02-25">https://creativecommons.org/licenses/by/4.0/</ali:license_ref>
<license-p>This is an open-access article distributed under the terms of the <ext-link ext-link-type="uri" xlink:href="https://creativecommons.org/licenses/by/4.0/">Creative Commons Attribution License (CC BY)</ext-link>. The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</license-p>
</license>
</permissions>
<abstract>
<p>This paper introduces the <italic>teleonome</italic> as a unifying biological construct that clarifies the goal-directed organised system by which organisms engage in adaptive processes. The teleonome is the integrated system of perceptual, physiological, behavioural, and affective capabilities shaped by natural selection to enable survival and reproduction. In animal welfare contexts, it describes sentient animals as maintaining viability through affective evaluation, agency, and the exploitation of environmental affordances. As a descriptive framework, it does not prescribe what welfare ought to be, but it does identify why affective experiences matter to animals: they allow them to detect relevance, prioritise competing demands, and modulate behaviour and physiology over their lifetime. They act as signals and regulators to govern learning, motivation, and trade-offs. In animal welfare science, explicit teleonomic principles highlight the significance, not the mere presence, of physiological and behavioural indicators. The teleonome frames welfare of individual animals as a trajectory of adaptive regulation in dynamic environments, shaped by their inherited and epigenetic potential, and modulated by life stage, learning, current context, state, and allostatic load. We argue that mapping species-specific teleonomes alongside their affective profiles provides a principled basis for evaluating the comparative weight of different welfare concerns, improving assessments and monitoring, informing research design and ethical decision-making. The teleonome thus offers a framework for reconnecting data with the lived experience of all kinds of animals, and for building welfare science outward from what matters to them.</p>
</abstract>
<kwd-group>
<kwd>allostatic load</kwd>
<kwd>biological-relevance</kwd>
<kwd>motivational systems</kwd>
<kwd>organism-environment fit</kwd>
<kwd>species-specific welfare</kwd>
<kwd>teleonomic reasoning</kwd>
<kwd>welfare trajectories</kwd>
</kwd-group>
<funding-group>
<funding-statement>The author(s) declared that financial support was received for this work and/or its publication. The author received financial support in the form of an Australian Government Research Training Program (RTP) Stipend Scholarship, administered by the University of New England, Australia. Article publication charges were supported by the University of New England, Australia.</funding-statement>
</funding-group>
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<custom-meta>
<meta-name>section-at-acceptance</meta-name>
<meta-value>Animal Welfare and Policy</meta-value>
</custom-meta>
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</front>
<body>
<sec id="s1" sec-type="intro">
<label>1</label>
<title>Introduction</title>
<p>Animal sciences &#x2013; including evolutionary biology, zoology, embryology, anatomy, physiology, ethology, comparative psychology, neurobiology, behavioural ecology, animal husbandry and animal welfare science &#x2013; have long sought to explain how non-human animals live, act, and experience the worlds they inhabit (<xref ref-type="bibr" rid="B21">Broom, 1986</xref>, <xref ref-type="bibr" rid="B22">2010</xref>; <xref ref-type="bibr" rid="B50">Denton et&#xa0;al., 2009</xref>; <xref ref-type="bibr" rid="B62">Fraser, 2008a</xref>, <xref ref-type="bibr" rid="B63">2008b</xref>; <xref ref-type="bibr" rid="B82">Harvey et&#xa0;al., 2023</xref>; <xref ref-type="bibr" rid="B96">Kirkden and Pajor, 2006</xref>; <xref ref-type="bibr" rid="B98">Koene, 2013</xref>; <xref ref-type="bibr" rid="B124">Mellor, 2016a</xref>, <xref ref-type="bibr" rid="B127">2019</xref>; <xref ref-type="bibr" rid="B132">Mellor and Uldahl, 2025</xref>; <xref ref-type="bibr" rid="B133">Mendl et&#xa0;al., 2010</xref>; <xref ref-type="bibr" rid="B152">Panksepp, 2005</xref>; <xref ref-type="bibr" rid="B196">Uldahl and Mellor, 2025</xref>; <xref ref-type="bibr" rid="B201">Webster, 2005</xref>; <xref ref-type="bibr" rid="B213">Yeates and Main, 2008</xref>). Each generates valuable data that are then used to infer the animal&#x2019;s capabilities, needs, and states of being, all of which are fragments of a wider understanding of systems that enable life to persist and flourish. Over time, specialisation has produced a proliferation of frameworks and terminologies to describe what animals are, how they maintain viability, and what matters to them. This proliferation is productive, but it has inadvertently fragmented the field of animal studies. Animal welfare science faces this fragmentation challenge acutely because, just as one cannot measure the &#x2018;safety&#x2019; of a building directly, welfare must be cautiously inferred from a broad range of observations and measures of physical function and behaviour [e.g (<xref ref-type="bibr" rid="B23">Broom, 2021</xref>; <xref ref-type="bibr" rid="B43">Dawkins, 1998</xref>, <xref ref-type="bibr" rid="B45">2008</xref>; <xref ref-type="bibr" rid="B105">Littlewood and Beausoleil, 2021</xref>; <xref ref-type="bibr" rid="B125">Mellor, 2016b</xref>, <xref ref-type="bibr" rid="B126">2017</xref>; <xref ref-type="bibr" rid="B129">Mellor et&#xa0;al., 2020</xref>; <xref ref-type="bibr" rid="B163">Rault et&#xa0;al., 2025</xref>; <xref ref-type="bibr" rid="B208">Wilkins et&#xa0;al., 2024</xref>; <xref ref-type="bibr" rid="B213">Yeates and Main, 2008</xref>)]. Without a shared foundation, even the most accurate data can remain in discipline-constrained silos, producing partial answers that are not easily connected to what is biologically relevant or meaningful from the animal&#x2019;s perspective (<xref ref-type="bibr" rid="B52">Doherty et&#xa0;al., 2025</xref>; <xref ref-type="bibr" rid="B209">Wilkins et&#xa0;al., 2025</xref>). In welfare management terms, such findings offer little guidance to those who make decisions about their care. This limits the practical value of the research and, ultimately, its influence on animal welfare policy and legislation. The key challenge is to identify which measurements and observations made by humans genuinely reflect the animal&#x2019;s ability to live a life that, from the animal&#x2019;s own perspective, may be considered biologically &#x2018;good&#x2019;. This task implicitly relies on some understanding of what it may be like to be each type of animal (<xref ref-type="bibr" rid="B141">Nagel, 1974</xref>).</p>
<p>It can be argued that in order to understand each type of animal, what animal welfare scientists need is a systems thinking approach: to help interpret complex, specialised and interdependent phenomena, by beginning from a shared assumption about the nature of the system under study (<xref ref-type="bibr" rid="B5">Arnold and Wade, 2015</xref>; <xref ref-type="bibr" rid="B7">Bawden, 1991</xref>; <xref ref-type="bibr" rid="B76">Goekler, 2003</xref>; <xref ref-type="bibr" rid="B109">Luke et&#xa0;al., 2023</xref>). In biology, this means starting with the organism as a whole entity before examining its components through descriptive (&#x201c;What?&#x201d;) and mechanistic (&#x201c;How?&#x201d;) approaches. Attempting to understand the organism as a whole entity inevitably leads to the questions &#x201c;why is it organised in these ways,&#x201d; and ultimately, &#x201c;for what purpose(s)?&#x201d; In animal welfare science, such a starting point can help relate diverse findings, reveal how the different elements interact, and clarify how their combined effects may shape the animal&#x2019;s life.</p>
<sec id="s1_1">
<label>1.1</label>
<title>The integrating power of widely applicable functional perspectives</title>
<p>Historically, a functional approach has helped biology recover coherence whenever perspectives have become fragmented. Darwin&#x2019;s work is the most obvious and far-reaching example: by showing that species&#x2019; traits could be explained by natural selection, he provided a unifying framework that integrated anatomy, behaviour, and ecology under a common principle of function and evolutionary adaptation to particular conditions (<xref ref-type="bibr" rid="B41">Darwin, 1859</xref>). Mayr later emphasised that understanding biological phenomena requires <italic>both</italic> proximate causes (&#x201c;how&#x201d; traits operate within an organism) and ultimate causes (&#x201c;why&#x201d; those traits evolved) (<xref ref-type="bibr" rid="B113">Mayr, 1961</xref>, <xref ref-type="bibr" rid="B114">1988</xref>). Tinbergen&#x2019;s four questions built on this by operationalising those distinctions and providing a system of inquiry that encourages researchers to engage with four dimensions that distinguish between evolutionary and within-lifetime adaptation (<xref ref-type="bibr" rid="B26">Burkhardt and Hauber, 2014</xref>; <xref ref-type="bibr" rid="B192">Tinbergen, 1963</xref>). Physiology has similarly used functional questions to link mechanism to survival value (<xref ref-type="bibr" rid="B143">Noble, 2011</xref>; <xref ref-type="bibr" rid="B145">Noble and Noble, 2021</xref>; <xref ref-type="bibr" rid="B162">Ramsay and Woods, 2024</xref>; <xref ref-type="bibr" rid="B177">Schulkin, 2004</xref>). In physiology and neurobiology, the concept of allostasis has extended homeostatic models by emphasising that, during their lifetime, organisms anticipate and adapt to changing conditions (<xref ref-type="bibr" rid="B116">McEwen, 1998</xref>; <xref ref-type="bibr" rid="B177">Schulkin, 2004</xref>; <xref ref-type="bibr" rid="B188">Sterling and Eyer, 1988</xref>). These functional syntheses share a common thread because they reinterpret biological mechanisms and explain that evolutionary adaptation has shaped organisms&#x2019; adaptive capabilities (and limitations) for within-lifetime adjustment.</p>
<p>Nevertheless, the idea that living organisms can be better understood in terms of their ends, functions, or purposes (i.e., that it helps to ask &#x201c;<italic>what is this attribute good for</italic>?&#x201d;) has deep roots in Western thought, reaching back to Aristotle&#x2019;s teleological metaphysics (<xref ref-type="bibr" rid="B20">Brennan, 2002</xref>; <xref ref-type="bibr" rid="B27">Cameron, 2010</xref>; <xref ref-type="bibr" rid="B107">Logan, 1897</xref>; <xref ref-type="bibr" rid="B111">Manning, 1998</xref>; <xref ref-type="bibr" rid="B211">Woodfield, 1998</xref>, <xref ref-type="bibr" rid="B212">2016</xref>). For Aristotle, nature was inherently purposeful; every living thing had a <italic>telos</italic>, a set of functions and capabilities that constitute its nature, by which it could be explained (<xref ref-type="bibr" rid="B84">Hauskeller, 2005</xref>; <xref ref-type="bibr" rid="B107">Logan, 1897</xref>; <xref ref-type="bibr" rid="B182">Soonti&#xeb;ns, 1992</xref>; <xref ref-type="bibr" rid="B211">Woodfield, 1998</xref>). As philosophers tried to explain not only &#x201c;what&#x201d; but &#x201c;why&#x201d; such purposes exist, attention shifted away from organisms&#x2019; internal organisation to the question of who or what imposed those purposes &#x2013; a preoccupation that would dominate Western thought for centuries (<xref ref-type="bibr" rid="B20">Brennan, 2002</xref>; <xref ref-type="bibr" rid="B49">De Cruz and Smedt, 2015</xref>; <xref ref-type="bibr" rid="B107">Logan, 1897</xref>; <xref ref-type="bibr" rid="B178">Sedley, 2017</xref>; <xref ref-type="bibr" rid="B182">Soonti&#xeb;ns, 1992</xref>). Subsequent philosophical and theological traditions reframed teleology&#x2019;s intrinsic purposiveness in terms of externally imposed divine design until the Enlightenment, when efforts to separate science from theology elevated mechanistic accounts of life and diminished teleology&#x2019;s credibility (<xref ref-type="bibr" rid="B17">Boyle, 1688</xref>; <xref ref-type="bibr" rid="B51">Des Chene, 2001</xref>; <xref ref-type="bibr" rid="B53">Dresow and Love, 2023</xref>; <xref ref-type="bibr" rid="B72">Ghiselin, 2002</xref>; <xref ref-type="bibr" rid="B85">Hempel, 1994</xref>; <xref ref-type="bibr" rid="B114">Mayr, 1988</xref>, <xref ref-type="bibr" rid="B115">1992</xref>). Even Darwin&#x2019;s functional explanations of evolutionary adaptation were interpreted by some contemporaries and followers to imply finalism [the idea that evolution is invariably propelled toward increasingly perfected forms, culminating in humans (<xref ref-type="bibr" rid="B48">De Chardin, 2017</xref>; <xref ref-type="bibr" rid="B199">Vidal, 2021</xref>)], another theory that was eventually rejected as scientifically untenable (<xref ref-type="bibr" rid="B54">Driscoll et&#xa0;al., 2009</xref>; <xref ref-type="bibr" rid="B71">Ghiselin, 1994</xref>; <xref ref-type="bibr" rid="B182">Soonti&#xeb;ns, 1992</xref>).</p>
</sec>
<sec id="s1_2">
<label>1.2</label>
<title>Teleonomy</title>
<p>In the twentieth century, the biologists Pittendrigh and Monod sought to recover the explanatory value of functional explanation without its metaphysical burden (<xref ref-type="bibr" rid="B138">Monod et&#xa0;al., 1974</xref>; <xref ref-type="bibr" rid="B157">Pittendrigh, 1958</xref>). Pittendrigh introduced the term <italic>teleonomy</italic> to describe the autonomous goal-directed (telos-directed) organisation of living systems as a driver of evolution by natural selection without a designer (<xref ref-type="bibr" rid="B157">Pittendrigh, 1958</xref>). Teleonomy continues to be a live topic of debate in evolutionary biology, genetics, and the philosophy of science, where questions of evolutionary causation, directionality, and agency continue to provoke disagreement (<xref ref-type="bibr" rid="B47">Dawkins, 2024</xref>; <xref ref-type="bibr" rid="B53">Dresow and Love, 2023</xref>; <xref ref-type="bibr" rid="B87">Hennig, 2011a</xref>; <xref ref-type="bibr" rid="B143">Noble, 2011</xref>). Yet despite ongoing conceptual tensions, recent developments suggest a renewed and multidisciplinary interest in teleonomic thinking (<xref ref-type="bibr" rid="B207">West-Eberhard, 2025</xref>) including fields such as systems biology, theoretical neuroscience, and affective science. Here, metaphysical disputes are increasingly being set aside in favour of integrative frameworks that better reflect how complex, goal-directed biological systems operate and influence each other in real time. Recent interdisciplinary efforts that illustrate this revival include the Linnean Society&#x2019;s 2021 <italic>Evolution &#x201c;On Purpose&#x201d;</italic> meeting (<xref ref-type="bibr" rid="B104">Linnean Society, 2021</xref>), its associated multi-author volume (<xref ref-type="bibr" rid="B38">Corning et&#xa0;al., 2023</xref>), the companion overview article (<xref ref-type="bibr" rid="B197">Vane-Wright and Cornig, 2023</xref>), and the <italic>Human Affectome Project</italic> (<xref ref-type="bibr" rid="B176">Schiller et&#xa0;al., 2024</xref>). The last of these shows how framing biological and psychological processes in terms of their evolutionary origin and within-lifetime adaptive purpose can bring coherence to the multidisciplinary study of affective phenomena in humans.</p>
<p>Teleonomic approaches recognise organisms as systems shaped by evolutionary pressures to meet the recurrent challenge of maintaining viability and reproduction in dynamic environments (<xref ref-type="bibr" rid="B14">Birch, 2009</xref>, <xref ref-type="bibr" rid="B15">2020</xref>; <xref ref-type="bibr" rid="B197">Vane-Wright and Cornig, 2023</xref>). Through a teleonomic lens, the components of the system (i.e., the organism&#x2019;s teleonomic subsystems, traits, and regulatory processes) are interpreted in relation to the viability problems they evolved to address. In animal sciences, problem-solving activities matter because they are biologically relevant to the organism under study (i.e., they affect their survival, and reproductive success) (<xref ref-type="bibr" rid="B64">Fraser and Duncan, 1998</xref>; <xref ref-type="bibr" rid="B116">McEwen, 1998</xref>; <xref ref-type="bibr" rid="B177">Schulkin, 2004</xref>). In animal welfare science, a field that depends on contributions from many biological disciplines, teleonomy offers a way to unify perspectives and generate new questions and insights. Furthermore, the organism-centric perspective required in animal welfare science could benefit all biological fields.</p>
</sec>
</sec>
<sec id="s2">
<label>2</label>
<title>Teleonomy and animal welfare</title>
<p>Although rarely acknowledged, teleonomic thinking has long informed animal welfare science. From early definitions that linked welfare to animals&#x2019; ability to cope with environmental challenges (<xref ref-type="bibr" rid="B18">Brambell, 1965</xref>; <xref ref-type="bibr" rid="B21">Broom, 1986</xref>) to later models emphasising behavioural motivation (<xref ref-type="bibr" rid="B44">Dawkins, 2006</xref>; <xref ref-type="bibr" rid="B96">Kirkden and Pajor, 2006</xref>; <xref ref-type="bibr" rid="B205">Wemelsfelder, 2005</xref>), ecological fit (<xref ref-type="bibr" rid="B81">Harvey, 2022</xref>; <xref ref-type="bibr" rid="B98">Koene, 2013</xref>; <xref ref-type="bibr" rid="B198">Veasey, 2017</xref>), and affective experience (<xref ref-type="bibr" rid="B60">Fraser, 1999</xref>; <xref ref-type="bibr" rid="B90">Hurnik and Lehman, 1988</xref>; <xref ref-type="bibr" rid="B131">Mellor and Reid, 1994</xref>), many of the welfare indicators have been understood in relation to animals&#x2019; evolved capabilities and adaptive success or failure (<xref ref-type="bibr" rid="B43">Dawkins, 1998</xref>). Across decades of conceptual refinement, the field has converged on the insight that animals&#x2019; subjective experiences are rooted in evolved perceptual and motivational systems, and that these experiences are essential to understanding and assessing welfare [reviewed by: (<xref ref-type="bibr" rid="B3">Appleby et&#xa0;al., 2018</xref>; <xref ref-type="bibr" rid="B61">Fraser, 2008</xref>; <xref ref-type="bibr" rid="B64">Fraser and Duncan, 1998</xref>; <xref ref-type="bibr" rid="B102">Lecorps and Weary, 2024</xref>; <xref ref-type="bibr" rid="B119">McMillan, 2020</xref>, <xref ref-type="bibr" rid="B120">2025</xref>; <xref ref-type="bibr" rid="B122">Mellor, 2015a</xref>, <xref ref-type="bibr" rid="B125">2016b</xref>; <xref ref-type="bibr" rid="B128">Mellor and Beausoleil, 2015</xref>; <xref ref-type="bibr" rid="B132">Mellor and Uldahl, 2025</xref>; <xref ref-type="bibr" rid="B183">&#x160;pinka, 2012</xref>)]. This convergence is reflected in the ongoing development of integrative welfare assessment frameworks such as the Five Domains Model (<xref ref-type="bibr" rid="B130">Mellor and Burns, 2020</xref>; <xref ref-type="bibr" rid="B129">Mellor et&#xa0;al., 2020</xref>), which explicitly connects the animal&#x2019;s mental or affective states with physiological, behavioural, and environmental conditions. However, while these frameworks implicitly illustrate how teleonomic reasoning already underlies welfare science, there is evidence that it is not always applied and when it is applied, it is not applied systematically.</p>
<p>Welfare research (and the policies and practices that flow from it) diverges from teleonomic reasoning when it fragments into discipline-specific measures, or when it relies on proxies for welfare state that are not biologically meaningful to the animals themselves. That said, in 2017, the European Food Safety Authority (EFSA) called for explicit consideration of the biological relevance of research findings and specifically distinguishing between adaptive and adverse effects (<xref ref-type="bibr" rid="B57">EFSA et&#xa0;al., 2017</xref>). This exemplifies both the lack of and need for teleonomic coherence. In animal welfare science, which seeks to interpret evidence of effects from the animal&#x2019;s perspective, this need is even more pressing. This identified gap invites reflection on why teleonomic reasoning remains only partly explicit and why its application is not yet consistent across the field, two failures that may be constraining the discipline.</p>
<p>One reason for these apparent failures may be that teleonomy is not and cannot be a complete theory of welfare, because a full account of welfare inevitably incorporates ethics (<xref ref-type="bibr" rid="B60">Fraser, 1999</xref>; <xref ref-type="bibr" rid="B90">Hurnik and Lehman, 1988</xref>; <xref ref-type="bibr" rid="B169">Rollin, 2015</xref>; <xref ref-type="bibr" rid="B190">Tannenbaum, 1991</xref>). Teleonomy cannot prescribe what counts as good or bad welfare, nor does it assume that evolved traits secure positive outcomes; every organism&#x2019;s viability is temporary and reproductive success often imposes substantial costs during life. Natural selection favours the persistence of genetic lineages, not happiness, comfort, or the safety of individuals. This has led some to dismiss teleonomic reasoning as a naturalistic fallacy (<xref ref-type="bibr" rid="B24">Browning, 2020</xref>; <xref ref-type="bibr" rid="B40">Curry, 2006</xref>; <xref ref-type="bibr" rid="B46">Dawkins, 2023</xref>; <xref ref-type="bibr" rid="B77">Green and Mellor, 2011</xref>). However, this criticism misses the point. Teleonomy is a descriptive and scientific, not a normative, framework. It provides the reference frame for understanding what organisms do, and why they behave and function as they do, including why some teleonomic activities may be expressed or maintained despite adverse outcomes. Such understanding is a necessary foundation before value judgements are made, and welfare interventions designed.</p>
<p>While the teleonome cannot prescribe ethical obligations, it provides the biological foundation upon which normative frameworks can be built. By identifying what matters to animals from their evolved perspective, it constrains which welfare standards are biologically coherent, while ethics determines which standards we ought to implement. It further shows how behaviour, physiology, and affective phenomena reflect evolved adaptive strategies rather than arbitrary reactions. It sees welfare indicators that have served as proxies for welfare states (e.g., behavioural strategies, physiological adjustments, motivational states, and affective experiences), as evolved capabilities for in-life responses to challenges and opportunities. This perspective can help identify what constitutes normal function and thus distinguishes it from what does not constitute it (<xref ref-type="bibr" rid="B83">Harvey et&#xa0;al., 2022</xref>). Without recognising the adaptive logic underpinning an animal&#x2019;s activities, our measurements risk being solely descriptive rather than descriptive and biologically relevant from the animal&#x2019;s perspective. In that case, we may inadvertently interpret them through anthropocentric assumptions about what <italic>should</italic> matter to animals rather than what <italic>does</italic> matter to them.</p>
<p>In welfare assessment and monitoring and bioethics, teleonomic reasoning can help to trace the shifting line between adaptive responses and adverse outcomes at the individual and population level (<xref ref-type="bibr" rid="B32">Cicchetti, 2011</xref>; <xref ref-type="bibr" rid="B56">Edes et&#xa0;al., 2018</xref>; <xref ref-type="bibr" rid="B57">EFSA et&#xa0;al., 2017</xref>; <xref ref-type="bibr" rid="B78">Gregory, 1998</xref>; <xref ref-type="bibr" rid="B116">McEwen, 1998</xref>; <xref ref-type="bibr" rid="B177">Schulkin, 2004</xref>; <xref ref-type="bibr" rid="B210">Wolfe and Edes, 2023</xref>) because (a) welfare reliably reflects how some core teleonomic systems are functioning, (b) it explicitly acknowledges that the systems that enable resilience are tied to the environmental conditions they operate in, (c) their adaptive capabilities were shaped by ancestral environments (<xref ref-type="bibr" rid="B98">Koene, 2013</xref>; <xref ref-type="bibr" rid="B158">Polechov&#xe1; and Storch, 2019</xref>), and (d) these systems can fail when those conditions no longer exist. Teleonomy also helps explain why animals sometimes persist in physiological or behavioural responses that are no longer effective or may even become harmful (<xref ref-type="bibr" rid="B31">Caspi, 1993</xref>; <xref ref-type="bibr" rid="B70">Gering et&#xa0;al., 2019</xref>; <xref ref-type="bibr" rid="B79">Hale and Swearer, 2017</xref>). Their motivational systems evolved to operate under specific ecological contingencies; when these no longer apply, they may lead to maladaptive persistence (<xref ref-type="bibr" rid="B34">Coden et&#xa0;al., 2025</xref>; <xref ref-type="bibr" rid="B89">Hughes and Duncan, 1988</xref>; <xref ref-type="bibr" rid="B112">Mason and Rushen, 2006</xref>). Approached in this way, teleonomic reasoning can inform research design, contribute to more accurate interpretation of welfare indicators, and enable researchers to make more reliable predictions about welfare across contexts. Normative frameworks can then build on this biological understanding to determine how animals ought to be treated or what conditions ought to be provided.</p>
<p>Yet, if teleonomic principles are to guide research and practice effectively, they must be made explicit and applied with conceptual precision &#x2013; particularly in accounting for the diverse ways evolved organisation manifests across different species and contexts.</p>
<sec id="s2_1">
<label>2.1</label>
<title>Toward conceptual precision in teleonomy</title>
<p>To our knowledge, there is no single term that captures the organisation that we see realised in the distinctive forms of life that evolution has produced to &#x201c;fit biologically&#x201d; in the extraordinarily diverse environmental conditions of planet Earth (<xref ref-type="bibr" rid="B30">Carroll, 2001</xref>; <xref ref-type="bibr" rid="B39">Crow and Wagner, 2006</xref>; <xref ref-type="bibr" rid="B149">Page, 2011</xref>). Bernard Rollin&#x2019;s concept of animal <italic>telos</italic> was an early attempt to do so (<xref ref-type="bibr" rid="B167">Rollin, 2012</xref>, <xref ref-type="bibr" rid="B168">2014</xref>, <xref ref-type="bibr" rid="B170">2017</xref>). When he wrote that telos is &#x201c;<italic>what is encoded in an animal&#x2019;s genetics, as expressed in their normal environment</italic>&#x201d; (<xref ref-type="bibr" rid="B168">Rollin, 2014</xref>, p. 100), he was describing animals as a suite of interconnected traits that were not merely present in the genome, but functionally expressed in real-world contexts. His memorable metaphors &#x201c;<italic>the pigness of the pig, the dogness of the dog</italic>&#x201d; condense species-specific anatomical, physiological, and behavioural features into an intuitive shorthand for how animals have evolved their functionality alongside how they express it.</p>
<p>For Rollin, an animal&#x2019;s nature implies a purposive structure, and telos (literally &#x201c;end&#x201d; or &#x201c;purpose&#x201d;) means the unity of form, function, and context. He argued that evolved biological structures carry with them functional expectations that are obvious when they are considered within the environments to which their species is adapted. By appealing to commonsense with phrases such as &#x201c;<italic>fish gotta swim; birds gotta fly</italic>,&#x201d; Rollin was not just making a normative claim, but an ontological one: a fish and a bird are the kind of biological entities that make sense only in relation to the aquatic and aerial environments that allow their morphology, physiology, and behaviour to be expressed. If you alter the animal or remove the ecological context, the functional coherence of the organism collapses. For example, clipping a bird&#x2019;s wings forecloses a central mode of life that the organism&#x2019;s body and behavioural repertoire evolved to express. In Rollin&#x2019;s ethical framework, if we constrain an animal so that it cannot be the animal it evolved to be, we violate something fundamental to its being, even if it is productive and we avoid causing it pain, hunger, or disease (<xref ref-type="bibr" rid="B166">Rollin, 2003</xref>, <xref ref-type="bibr" rid="B169">2015</xref>, <xref ref-type="bibr" rid="B171">2019a</xref>, <xref ref-type="bibr" rid="B172">2019b</xref>).</p>
<p>Rollin&#x2019;s theory was a major advance in animal ethics because it grounded moral consideration in species-specific interests (<xref ref-type="bibr" rid="B80">Harfeld, 2013</xref>; <xref ref-type="bibr" rid="B168">Rollin, 2014</xref>, <xref ref-type="bibr" rid="B173">2020</xref>; <xref ref-type="bibr" rid="B174">Rollin and Hickey, 2019</xref>). However, outside ethics, and particularly in animal welfare science, &#x201c;telos&#x201d; has seen limited uptake. One reason may be that the term carries connotations of extrinsic or divine purpose that remind some of biology&#x2019;s rejection of teleological causation and finalism. However, and more fundamentally, by its own meaning, telos names the goal but not the organised system by which that goal is realised, making it difficult to operationalise in research and practice.</p>
<p>Recognising survival and reproductive success as the universal biological goals of life (telos) and acknowledging that each lineage has evolved a distinct system for pursuing telos, shifts the focus from the common teleonomic purpose to the unique expression of it in individual organisms. Accordingly, we propose a term for the integrated, self-organising system that is embodied by living beings and their connection to the environments that shaped them &#x2013; the teleonome.</p>
<p>What follows develops the teleonome and the teleonomic principle as integrative constructs. Section 3 defines the <italic>teleonome</italic> and outlines the supporting concepts required to interpret it in animal welfare science. Section 4 shows the teleonome in action, its implications for individual adaptation, relevance, learning, and the organising role of affect. Section 5 develops focused topics and future directions, before turning to limitations and safeguards in Section 6 and concluding reflections in Section 7.</p>
<p>Our aim is to provide researchers with a principled way to situate their work within a broader understanding of animals as evolved, telos-directed organisms. In doing so, we emphasise that animals are not passive subjects of environmental forces but active agents whose biological organisation equips and motivates them to pursue adaptive ends. We believe this framing can motivate more integrative approaches to welfare assessment and theory building that are grounded in the animal&#x2019;s perspective. We invite you to consider how familiar research questions and methods align with the teleonomic principle; how this can help explain not just what animals are and how they function, but why they are organised and function in those ways; as well as the ways in which their teleonome provides a framework through which those principles are expressed in living form.</p>
</sec>
</sec>
<sec id="s3">
<label>3</label>
<title>The teleonome</title>
<p><italic>Pronounced: tee-lee-on-ohm (British English), or teh-lee-on-ohm (U.S. English).</italic></p>
<sec id="s3_1">
<label>3.1</label>
<title>General features</title>
<p>The teleonome is the organised biological system through which organisms pursue biological goals (telos). It comprises the integrated system of perceptual, physiological, behavioural, and adaptive capabilities shaped by natural selection to pursue survival and reproduction in dynamic environments. Each species, population, and ultimately each organism possesses its own teleonome: a set of inherited traits and interconnected regulatory processes that provide them with potential for solving problems of viability in particular ecological contexts. As such, all autonomous living systems, from the simplest bacteria to humans, have a teleonome.</p>
<p>An organism&#x2019;s teleonome can be understood only in relation to the ancestral environments and selection pressures that shaped it. However, because environments are never static, the teleonome includes inherited capabilities for individual adaptive modification within phylogenetically constrained bounds. It embodies a multi-generational gamble: that offspring will encounter a sufficiently similar ecological structure, and that their inherited adaptive mechanisms will be adequate to accommodate differences (<xref ref-type="bibr" rid="B47">Dawkins, 2024</xref>). The teleonome thus represents a heritage of potential and limitations for achieving teleonomic goals that are continually tested against changing conditions, linking ancestral efficacy to ongoing, goal-directed striving, while remaining open to variation and failure.</p>
<p>Compiling a teleonome (i.e., an inventory of teleonomic traits) for any type of organism or animal should follow a structured, systematic approach identifying traits, systems, and capabilities oriented toward viability and reproductive success. (See also section 5.1).</p>
</sec>
<sec id="s3_2">
<label>3.2</label>
<title>Etymology</title>
<p>Etymologically, the word teleonome follows established conventions in biological nomenclature, constructed from the Greek <italic>teleo-</italic> meaning &#x201c;end,&#x201d; &#x201c;goal,&#x201d; or &#x201c;purpose&#x201d; (as in <italic>telos</italic>), and <italic>-nome</italic> from <italic>nomos</italic>, signifying &#x201c;law,&#x201d; &#x201c;system,&#x201d; or &#x201c;management.&#x201d; This construction parallels other biological terms such as &#x201c;genome&#x201d; (the complete set of genetic instructions) and &#x201c;proteome&#x201d; (the complete set of proteins), indicating a systematic collection organised toward particular functions. The term is meant to complement and refine established conceptual frameworks across multiple biological disciplines, including animal welfare science, animal husbandry, behavioural ecology, evolutionary biology, comparative physiology and psychology, conservation biology, and veterinary medicine. The teleonome provides the missing North Star &#x2013; a fixed reference point, external to human preference, that reflects what is most likely to be biologically relevant to each animal.</p>
<p>This progression toward conceptual and semantic precision can be understood at three complementary levels: (a) <italic>telos</italic> identifies the universal biological goal of viability, survival, and reproduction, but does not specify how this goal is pursued; (b) <italic>teleonomy</italic> explains that goal- or telos-directed biological processes result from natural selection rather than divine design, but focuses on the principle rather than cataloguing specific traits; and (c) <italic>teleonome</italic> provides a comprehensive term for the complete, integrated biological system through which organisms actually pursue and achieve their biological goals. <xref ref-type="table" rid="T1"><bold>Table&#xa0;1</bold></xref> summarises the relationships among telos, teleonomy, teleology, and teleonome, clarifying how these interrelated concepts operate at different explanatory levels. In this way, the teleonome provides the biological specifications for what Rollin intuitively grasped with telos &#x2013; a framework that preserves his ethical insights while offering the conceptual precision needed for empirical investigation.</p>
<table-wrap id="T1" position="float">
<label>Table&#xa0;1</label>
<caption>
<p>The relationship between telos, teleonomy, teleology, and the teleonome.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" align="left">Term</th>
<th valign="middle" align="left">Definition</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Telos</td>
<td valign="middle" align="left">From Greek meaning &#x201c;end,&#x201d; &#x201c;purpose,&#x201d; or &#x201c;goal&#x201d; and that for the sake of which something exists or occurs. In biology, telos refers to the universal biological imperative &#x2013; i.e., the fundamental goals of survival and reproduction shared by all living beings. These are the ends toward which evolutionary processes have shaped organisms, providing the directional focus.</td>
</tr>
<tr>
<td valign="top" align="left">Teleonomy</td>
<td valign="middle" align="left">The principle that living organisms pursue biological goals (telos) and that their activities and functions are coordinated toward achieving survival and reproduction. It presupposes that the purposiveness arises from within the organism itself (it is immanent and naturally present), rather than imposed by external forces or conscious planning. Natural selection explains how this internal goal-directedness evolved: traits that enhanced ecological fit and that favoured reproductive success and were passed on to subsequent generations.</td>
</tr>
<tr>
<td valign="top" align="left">Teleology</td>
<td valign="middle" align="left">Sometimes used interchangeably with teleonomy by many researchers (e.g., in <italic>The Human Affectome Project</italic>; <xref ref-type="bibr" rid="B176">Schiller et&#xa0;al., 2024</xref>), teleology also refers to the evident goal-directedness of living systems. However, teleology has been philosophically problematic, often associated with external imposition of purpose or conscious planning, rather than emerging from evolutionary processes. While some contemporary biologists use it synonymously with teleonomy, the historical baggage makes teleonomy a clearer choice for scientific discourse.</td>
</tr>
<tr>
<td valign="top" align="left">Teleonome</td>
<td valign="middle" align="left">The organised biological system through which an organism supports their viability and reproductive success. It contains a subset of systems and traits that are teleonomic (i.e., purpose-directed toward maintaining life and achieving biological goals), and that operate as an integrated network of interdependent functions in continuous relation to the environment. The teleonome thus enables the organism to detect, process, and respond to environmental change in ways that are adaptive, i.e., that support persistence, reproduction, and evolutionary continuity.</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec id="s3_3">
<label>3.3</label>
<title>From species to individual: the nested architecture of the teleonome</title>
<p>As noted earlier, each organism possesses a teleonome, a system or traits that can be considered on at least three levels (<xref ref-type="fig" rid="f1"><bold>Figure&#xa0;1</bold></xref>). At the broader, species-level (e.g., domestic dogs, <italic>Canis lupus familiaris</italic>), the teleonome encompasses the inherited teleonomic traits shared by all members of the species: the species-typical morphology, physiology, sensory and affective capabilities, and behavioural tendencies that define its adaptive organisation. Species offer a useful reference point, even though the sharing of teleonomic traits may extend beyond species boundaries and be altered by natural and artificial selection. Within species, morphotype-level teleonomes represent stable subpopulation refinements of different ecotypes, subspecies, breeds, or strains (e.g., herding dog types) where selection, whether natural or artificial, has produced specialised adjustments. At the individual level, each organism inherits a unique configuration through genetic recombination and epigenetic marking, such that even siblings possess distinct teleonomic potential.</p>
<fig id="f1" position="float">
<label>Figure&#xa0;1</label>
<caption>
<p>The nested architecture of the teleonome illustrated using a domestic dog example. The teleonome represents a nested system of inherited potential operating across hierarchical levels, from species-level adaptations, through morphotype-specific adjustments, to the individual, whose moment-to-moment regulation and expression are shaped by non-inherited influences. This structure links evolutionary history to currently manifested functioning, showing how teleonomic capabilities are conserved, refined, and expressed within changing contexts. The same taxonomic logic can be applied to any living organism. Original illustration by Cristina Wilkins. Contains graphical elements licensed for editorial use from <uri xlink:href="https://www.dreamstime.com/">Dreamstime.com</uri>.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fanim-07-1768519-g001.tif">
<alt-text content-type="machine-generated">Infographic with illustrated dogs depicting levels of teleonome: species-level (various domestic dogs), morphotype-level (herding breeds), individual-level (a puppy within their litter, with parents behind), and expressed teleonome (a puppy), with accompanying explanatory text on inherited and expressed traits.</alt-text>
</graphic></fig>
<p>Finally, the expressed teleonome represents the real-time manifestation of the flexibility of these inherited capabilities as they are deployed in the present moment, modulated during the individual&#x2019;s lifetime by environmental context and other factors including life stage, learning, and current physical and mental state. This distinction between inherited teleonomic traits and their real-time expression acknowledges that what organisms possess as evolved potential must be understood alongside how that potential is actualised under specific conditions (See also Section 4.5).</p>
<p>Critically, the teleonome is not synonymous with the genome. It refers to the organised functional capabilities that emerge from genetic information as expressed through development and in relation to environmental context (ancestral and present). Nor is it equivalent to the phenotype, which includes traits that may be non-functional byproducts or selectively neutral variations. Rather, the teleonome specifically encompasses those inherited, functionally organised capabilities oriented toward biological goals (telos).</p>
<sec id="s3_3_1">
<label>3.3.1</label>
<title>Sex, reproductive state, and life stage variation</title>
<p>Teleonomes differ systematically within species according to sex, reproductive state, and developmental stage. Males and females often have distinct social motivations, threat assessment systems, and parental behaviours shaped by divergent reproductive strategies (<xref ref-type="bibr" rid="B33">Cobb et&#xa0;al., 2020</xref>; <xref ref-type="bibr" rid="B151">Pal, 2003</xref>; <xref ref-type="bibr" rid="B187">Starling et&#xa0;al., 2013</xref>; <xref ref-type="bibr" rid="B191">Tiberi et&#xa0;al., 2025</xref>). Reproductive states&#x2014;pregnancy, lactation, oestrous cycles&#x2014;fundamentally reconfigure physiological demands, threat sensitivity, and behavioural priorities rather than simply changing baseline function (<xref ref-type="bibr" rid="B59">Fischhoff et&#xa0;al., 2007</xref>). Life stages represent distinct teleonomic configurations: juveniles prioritise play and competence-building; adults emphasise reproduction and resource competition; geriatric animals face chronic pain management, weakening of various capabilities, and altered social status (<xref ref-type="bibr" rid="B187">Starling et&#xa0;al., 2013</xref>). Moreover, in social species, the teleonomes of geriatric individuals, and of other non-breeding group members such as older siblings or established helpers, retain functional significance beyond direct reproduction. For example, senior individuals who provide alloparental care, social learning opportunities, or collective defence constitute part of the ancestral social milieu to which the teleonomes of younger animals&#x2019; are adapted (<xref ref-type="bibr" rid="B94">Kenkel et&#xa0;al., 2017</xref>; <xref ref-type="bibr" rid="B140">Montgomery et&#xa0;al., 2018</xref>; <xref ref-type="bibr" rid="B181">Solomon and Hayes, 2010</xref>). Altruistic and cooperative behaviours are teleonomic expressions, not exceptions to teleonomic logic. In this sense, healthy ageing reflects not the cessation of teleonomic function but its reconfiguration toward kin-directed and group-level contributions that were themselves under selection. These variations are not minor; rather, they are wholesale reorganisations of what is biologically relevant. Consequently, there is no single &#x201c;species teleonome&#x201d;; rather, there are families of related teleonomes that require welfare assessment and management approaches embracing these variations. Nevertheless, a species teleonome could help formulate general strategies for assessing and safeguarding the welfare of members of the same species. These can then be refined to include consideration of individual differences.</p>
</sec>
</sec>
<sec id="s3_4">
<label>3.4</label>
<title>Sentience, affordances, and agency as evolved essential elements for advancing biological fitness</title>
<p>Although the teleonome as a concept applies to all autonomous living systems, from the simplest bacteria to humans, welfare science focuses specifically on sentient, non-human animals (hereon &#x2018;animals&#x2019;) whose teleonomic capabilities include the generation of subjective experiences that are felt as pleasant or unpleasant from the animal&#x2019;s perspective (<xref ref-type="bibr" rid="B108">Low et&#xa0;al., 2012</xref>). For sentient animals, the teleonome includes affective subsystems that evaluate environmental conditions (physical and social) and internal states in terms of biological relevance, producing experiences of valence and urgency that guide individual adaptive responses (behavioural and physiological) (<xref ref-type="bibr" rid="B133">Mendl et&#xa0;al., 2010</xref>; <xref ref-type="bibr" rid="B135">Mendl and Paul, 2020</xref>). These affective phenomena are themselves teleonomic, being evolved tools for flexible, rapid assessment and response (e.g., pain isn&#x2019;t just information; it is a teleonomic alarm). This framing parallels the <italic>Human Affectome</italic> (<xref ref-type="bibr" rid="B176">Schiller et&#xa0;al., 2024</xref>) which formalised affective phenomena as hierarchically organised, teleonomic processes. In animals, the affectome can be understood as the subset of the teleonome responsible for generating and regulating affective experience. It is primarily the functioning of these affective-regulatory subsystems, rather than teleonomic organisation as a whole, that gives rise to welfare-relevant states in individual animals. Accordingly, while the teleonome characterises any living system, its welfare significance emerges most clearly in animals whose organised capabilities include the generation of subjective experience. From this point, we focus on the teleonome and the teleonomic principle as they apply to non-human sentient animals, with particular attention to how affective experience functions as an evolved system for adaptive regulation during individual lifetimes. As well as sentience, two other features, affordances and agency, are essential to understanding the teleonome in welfare terms. The following subsections outline how each of these three components specifies a different aspect of how the teleonome is expressed in real-time.</p>
<sec id="s3_4_1">
<label>3.4.1</label>
<title>Sentience</title>
<p>Across welfare science, there is now a wide consensus that assessments must be grounded in the animal&#x2019;s perspective, because welfare reflects the animal&#x2019;s own affective experience (Reviewed by: (<xref ref-type="bibr" rid="B3">Appleby et&#xa0;al., 2018</xref>; <xref ref-type="bibr" rid="B4">Arndt et&#xa0;al., 2022</xref>; <xref ref-type="bibr" rid="B22">Broom, 2010</xref>, <xref ref-type="bibr" rid="B23">2021</xref>; <xref ref-type="bibr" rid="B61">Fraser, 2008</xref>; <xref ref-type="bibr" rid="B64">Fraser and Duncan, 1998</xref>; <xref ref-type="bibr" rid="B81">Harvey, 2022</xref>; <xref ref-type="bibr" rid="B82">Harvey et&#xa0;al., 2023</xref>; <xref ref-type="bibr" rid="B118">McMillan, 2016</xref>, <xref ref-type="bibr" rid="B119">2020</xref>, <xref ref-type="bibr" rid="B120">2025</xref>; <xref ref-type="bibr" rid="B122">Mellor, 2015a</xref>, <xref ref-type="bibr" rid="B123">2015b</xref>; <xref ref-type="bibr" rid="B148">Ohl and van der Staay, 2012</xref>; <xref ref-type="bibr" rid="B185">&#x160;pinka and Wemelsfelder, 2011</xref>). A teleonomic foundation advances this imperative by treating affective states as evolved, biologically structured signals that motivate adaptive responses and enable learning. The capability to experience and respond to affects, therefore, highlights the sentience of animals [e.g (<xref ref-type="bibr" rid="B9">Beausoleil and Mellor, 2015b</xref>; <xref ref-type="bibr" rid="B11">Berridge, 1996</xref>; <xref ref-type="bibr" rid="B16">Boissy et&#xa0;al., 2007</xref>; <xref ref-type="bibr" rid="B25">Burgdorf and Panksepp, 2006</xref>; <xref ref-type="bibr" rid="B44">Dawkins, 2006</xref>; <xref ref-type="bibr" rid="B50">Denton et&#xa0;al., 2009</xref>; <xref ref-type="bibr" rid="B66">Fraser and Nicol, 2011</xref>; <xref ref-type="bibr" rid="B91">Ikemoto and Panksepp, 1999</xref>; <xref ref-type="bibr" rid="B93">Jones and Boissy, 2011</xref>; <xref ref-type="bibr" rid="B95">King and Rowan, 2005</xref>; <xref ref-type="bibr" rid="B96">Kirkden and Pajor, 2006</xref>; <xref ref-type="bibr" rid="B103">Lim and Young, 2006</xref>; <xref ref-type="bibr" rid="B112">Mason and Rushen, 2006</xref>; <xref ref-type="bibr" rid="B118">McMillan, 2016</xref>; <xref ref-type="bibr" rid="B122">Mellor, 2015a</xref>, <xref ref-type="bibr" rid="B123">2015b</xref>, <xref ref-type="bibr" rid="B127">2019</xref>; <xref ref-type="bibr" rid="B133">Mendl et&#xa0;al., 2010</xref>, <xref ref-type="bibr" rid="B134">2022</xref>; <xref ref-type="bibr" rid="B146">Numan and Insel, 2003</xref>; <xref ref-type="bibr" rid="B153">Panksepp et&#xa0;al., 2011</xref>; <xref ref-type="bibr" rid="B154">Panksepp and Zellner, 2004</xref>; <xref ref-type="bibr" rid="B175">Rolls, 2005</xref>; <xref ref-type="bibr" rid="B184">&#x160;pinka, 2019</xref>; <xref ref-type="bibr" rid="B200">Vi&#xf1;uela-Fern&#xe1;ndez et&#xa0;al., 2018</xref>; <xref ref-type="bibr" rid="B204">Wemelsfelder, 1997</xref>, <xref ref-type="bibr" rid="B205">2005</xref>; <xref ref-type="bibr" rid="B213">Yeates and Main, 2008</xref>)] as an essential constituent of their evolved capabilities. These signals are shaped by the animal&#x2019;s integrated perceptual, cognitive, behavioural, and regulatory systems, and serve to orient activities toward outcomes that support viability and motivate the pursuit of biological goals. In the context of animal welfare, examples of these features are available (<xref ref-type="bibr" rid="B122">Mellor, 2015a</xref>, <xref ref-type="bibr" rid="B123">2015b</xref>), but not within an explicitly teleonomic framework. The teleonome recognises that form, function, and subjective experiences are inseparably integrated in a purposeful teleonomic way. Furthermore, by placing emphasis on priorities and capabilities at different levels, from species to individual in-the-moment, a teleonomic perspective supports more coherent and biologically based models of animal welfare.</p>
</sec>
<sec id="s3_4_2">
<label>3.4.2</label>
<title>Affordances</title>
<p>The teleonome is a relational property that specifies the organism&#x2019;s fit within the structure of its environment (<xref ref-type="bibr" rid="B158">Polechov&#xe1; and Storch, 2019</xref>). This fit depends on what the environment makes possible for the organism to do; that is, on the opportunities for action it presents to beings with particular bodies, senses, and skills. In ecological psychology these &#x201c;opportunities for action&#x201d; are called &#x2018;affordances&#x2019; (<xref ref-type="bibr" rid="B74">Gibson, 1977</xref>; <xref ref-type="bibr" rid="B197">Vane-Wright and Cornig, 2023</xref>). Affordances arise from the complementary relationship between what the environment provides and what the organism can perceive or detect and utilise (<xref ref-type="bibr" rid="B2">Andersson and McPhearson, 2018</xref>; <xref ref-type="bibr" rid="B67">Friedman, 2007</xref>). A tree branch <italic>affords</italic> perching to a bird who can grasp and balance on it, but not to a fish; water <italic>affords</italic> respiration to aquatic organisms with appropriate morphology and physiology, but not to terrestrial mammals. Over evolutionary time, teleonomes became tuned to the affordances of their environments, even as organisms helped generate, modify, and stabilise those affordances. The teleonome thus embodies inherited capabilities organised around detecting, valuing, and exploiting affordances. These include the capability to generate novel ways of using them when conditions depart from ancestral norms (<xref ref-type="bibr" rid="B137">Moczek, 2023</xref>).</p>
<p>Under artificial selection, in captive or managed conditions, the relationships among teleonome and affordances are often fundamentally altered. In many domesticated and captive populations, social and physical affordances are controlled and externally provided by humans. As a result, some teleonomic systems that evolved to detect, value, and generate affordances may be reduced in scope, bypassed, or rendered functionally redundant, while others are selectively amplified. For example, highly managed production environments may require animals only to exploit pre-selected affordances (e.g., readily available food or shelter), rather than to detect and value them through exploration and learning. This can satisfy physiological needs while bypassing the exploratory and learning-dependent activities through which animals normally interact with and adjust to their environments. Importantly, recognising affordances as teleonomic does not imply that enabling their expression under contemporary conditions will necessarily support welfare, a point discussed in more detail in Section 5.6.</p>
</sec>
<sec id="s3_4_3">
<label>3.4.3</label>
<title>Agency</title>
<p>The teleonome provides the functional systems that make goal-directed action possible; those that evolved to detect threats and opportunities, and to exploit the available affordances. Agency is the active expression of teleonomic organisation. It is the process by which an organism engages its physical and affective capabilities to act within, and on, its world (<xref ref-type="bibr" rid="B75">Gilroy and Trewavas, 2023</xref>; <xref ref-type="bibr" rid="B145">Noble and Noble, 2021</xref>; <xref ref-type="bibr" rid="B194">Trewavas et&#xa0;al., 2023</xref>; <xref ref-type="bibr" rid="B197">Vane-Wright and Cornig, 2023</xref>).</p>
<p>From a teleonomic perspective, agency is not simply the opportunity to make choices, but the biological impetus to do so in ways that serve teleonomic goals. It arises when perceptual and motivational systems direct attention and action toward affordances that are meaningful within the organism&#x2019;s evolved design (<xref ref-type="bibr" rid="B144">Noble and Noble, 2018</xref>, <xref ref-type="bibr" rid="B145">2021</xref>). Thus, the teleonome specifies what is to be pursued (viability, reproduction, and their proximate correlates), whereas agency is the pursuit in action via the continual adjustment of behaviour and physiology as the organism negotiates the conditions of life (<xref ref-type="bibr" rid="B165">Rietveld and Kiverstein, 2014</xref>).</p>
<p>The teleonomic principle also captures agency&#x2019;s developmental dimension. Many species inherit not only the capability for action but the expectation (a kind of genetic prediction) that affordances will exist to refine that capability through graduated challenges (<xref ref-type="bibr" rid="B89">Hughes and Duncan, 1988</xref>; <xref ref-type="bibr" rid="B102">Lecorps and Weary, 2024</xref>; <xref ref-type="bibr" rid="B105">Littlewood and Beausoleil, 2021</xref>). In other words, many teleonomic capabilities evolved under conditions in which specific forms of engagement with the physical and social environments reliably occurred during development. Through repeated engagement with suitable affordances, individuals build competence, calibrate their responses, and strengthen the systems their teleonome is equipped to develop (<xref ref-type="bibr" rid="B165">Rietveld and Kiverstein, 2014</xref>). When these expected developmental affordances are absent, the underlying motivational systems remain active but lack appropriate targets. In this case, motivation redirects toward less relevant or improvised affordances, teleonomic potential remains unrealised, and the organism&#x2019;s evolved capabilities cannot reach their intended coherence with the environment.</p>
<p>This framing implies that not all choices are teleonomically equivalent. Agency that engages the systems that are central to viability and reproduction, such as foraging, exploration, rearing young, or social bonding, fulfils evolved functions in a way that arbitrary or artificially constrained choice does not. A hen who can choose between two perch heights in a barren cage is exercising agency in a minimal sense, yet the affordances her teleonome evolved to exploit (e.g., complex ground exploration, dustbathing, social navigation, nesting, and brooding), are missing. Here, agency operates, but realising teleonomic potential is severely limited. Where agency is present but constrained, welfare inferences must be extremely cautious (<xref ref-type="bibr" rid="B42">Dawkins, 1988</xref>; <xref ref-type="bibr" rid="B89">Hughes and Duncan, 1988</xref>; <xref ref-type="bibr" rid="B112">Mason and Rushen, 2006</xref>). This distinction matters because agency without appropriate affordances indicates that motivational systems are present but obstructed, whereas complete absence of agency indicates regulatory collapse such that the animal evidently gives up and stops attempting to exert control over outcomes (<xref ref-type="bibr" rid="B110">Maier and Seligman, 2016</xref>; <xref ref-type="bibr" rid="B202">Webster, 2008</xref>).</p>
<p>The teleonome grounds sentience, affordances, and agency in their biological relevance. It explains that agency matters not because choice is intrinsically &#x201c;good,&#x201d; but because acting within appropriate affordances allows the organism to utilise its evolved capabilities. It also clarifies variation; in other words, why individuals of the same species differ in how they seek or value control, since epigenetic effects, developmental stage, current condition, and experience calibrate the teleonomic systems of each individual differently.</p>
<p>Artificial selection can also disrupt teleonomic coherence by modifying traits that are embedded within tightly integrated physiological, neural, and behavioural systems. Because such traits rarely operate in isolation, their alteration may have cascading effects for agency and welfare that are difficult to predict. These complexities are acknowledged here and considered in ethical terms in Section 5.6, but a detailed evolutionary or trait-specific analysis lies beyond the scope and aims of the present manuscript.</p>
</sec>
</sec>
</sec>
<sec id="s4">
<label>4</label>
<title>The teleonome in action</title>
<sec id="s4_1">
<label>4.1</label>
<title>Animals as agents and self-maintaining systems in a dynamic environment</title>
<p>Understood physiologically, the bodies of sentient animals of welfare interest are constituted of numerous mechanistic networks that have whole body, organ system, organ, cellular, and subcellular functions. These networks are so extensively integrated that every function of each one interacts directly and/or indirectly with the functions of every other network. From a teleonomic perspective it is apparent that this edifice of intricately interactive functionality serves to preserve structural and functional integrity in pursuit of biological goals (telos) (<xref ref-type="bibr" rid="B38">Corning et&#xa0;al., 2023</xref>; <xref ref-type="bibr" rid="B157">Pittendrigh, 1958</xref>; <xref ref-type="bibr" rid="B197">Vane-Wright and Cornig, 2023</xref>). Importantly, these include sustaining the individual&#x2019;s life until reproductive age is reached and securing the possibility of producing viable offspring. To achieve this, it is necessary to maintain conditions within the body&#x2019;s &#x2018;internal environment&#x2019; that are compatible with sustaining life in the face of an ever-fluctuating &#x2018;external environment.&#x2019; There is also a need to support internal developmental changes from birth through infancy to youthful maturation, followed by puberty and mature reproductive or alloparenting capabilities. Within this complexity, two generalised functional phenomena of relevance to sustaining life-critical features in the internal environment have been described &#x2013; namely homeostasis and allostasis.</p>
<sec id="s4_1_1">
<label>4.1.1</label>
<title>Homeostasis</title>
<p>Homeostasis as a concept captures states of internal stability recognised by the &#x2018;relative constancy&#x2019; of observable features of the internal environment (<xref ref-type="bibr" rid="B28">Cannon, 1929</xref>, <xref ref-type="bibr" rid="B29">1939</xref>). These features are the targets of, or integral to, homeostatic mechanisms which act to keep specific functions within distinct ranges (<xref ref-type="bibr" rid="B13">Billman, 2020</xref>). The setting of these ranges depends on numerous phenomena, including other interacting homeostatic mechanisms. Salient features include the following: blood pressure, heart rate, and cardiac output; deep body temperature; blood concentrations of hormones, energy-rich metabolites, vitamins, electrolytes, trace elements, macro minerals, and antibodies; the osmolarity of body fluids; brain and peripheral nervous system functions; and many others. It is precisely because these mechanisms are central to viability that their measurable outputs are used as welfare indicators.</p>
<p>However, homeostatic stability is not fixed and immobile. Rather, it incorporates dynamic processes of adjustment that regulate deviations when animals encounter more physiologically demanding circumstances. Thus, they can adjust the specific physiological ranges they defend, shifting the salient set points to retain viability.</p>
</sec>
<sec id="s4_1_2">
<label>4.1.2</label>
<title>Allostasis</title>
<p>Most homeostatic regulatory processes occur without conscious awareness. However, others may involve consciously perceived and/or elicited neural activity generated by centralised or distributed nervous systems, shaped by prior experience and, if unsustainable, potentially involving physiological trade-offs (<xref ref-type="bibr" rid="B36">Colditz and Tilbrook, 2022</xref>; <xref ref-type="bibr" rid="B78">Gregory, 1998</xref>; <xref ref-type="bibr" rid="B161">Ramsay and Woods, 2016</xref>, <xref ref-type="bibr" rid="B162">2024</xref>). Such marked shifts in defended set points are described as allostasis (<xref ref-type="bibr" rid="B160">Ramsay and Woods, 2014</xref>).</p>
<p>Thus, allostasis conceptually accommodates the necessity for there to be controlled dynamic shifts in set points as part of physiological responses to significant changes in animals&#x2019; circumstances. Examples of circumstances that might require shifts include epigenetic effects and environmental challenges such as excess heat load or cold exposure and inadequate food availability. Further examples include physiological adjustments to the demands of exercise, pregnancy, lactation, infection, and any other factors that demand physiological responses well beyond those present in benign states of rest (<xref ref-type="bibr" rid="B32">Cicchetti, 2011</xref>; <xref ref-type="bibr" rid="B177">Schulkin, 2004</xref>).</p>
</sec>
<sec id="s4_1_3">
<label>4.1.3</label>
<title>Involvement of affects</title>
<p>Affective phenomena play a central role in this dynamic regulation. They function as biologically structured signals that help detect, prioritise, anticipate, and act on relevant information (<xref ref-type="bibr" rid="B176">Schiller et&#xa0;al., 2024</xref>). These signals allow sentient animals to:</p>
<list list-type="bullet">
<list-item>
<p>monitor internal conditions and initiate corrective responses (ensuring viability);</p></list-item>
<list-item>
<p>select context-appropriate behavioural and physiological operations (executing operations);</p></list-item>
<list-item>
<p>distinguish what matters from what does not matter (enacting relevance);</p></list-item>
<list-item>
<p>maintain a subjectively tolerable internal state (monitoring the comfort zone);</p></list-item>
<list-item>
<p>track and respond to social cues (monitoring social confidence);</p></list-item>
<list-item>
<p>down-regulate reproduction and promote dispersal in poor conditions (avoiding waste); and promote persistence in favourable conditions (supporting continued use of local resources);</p></list-item>
</list>
<p>These processes are not deliberative; they are largely automatic and embodied. They orient animals toward opportunities and away from threats, and shape behavioural tendencies across different timescales, effectively governing motivation and coordinating adaptive and learning strategies in both solitary and social contexts.</p>
</sec>
</sec>
<sec id="s4_2">
<label>4.2</label>
<title>The four-step adaptive process</title>
<p>In the teleonomic view, affect is not merely a subjective byproduct of neural processing; rather, it is a functionally integrated system for managing biological risk and opportunity in fluctuating environments (<xref ref-type="bibr" rid="B176">Schiller et&#xa0;al., 2024</xref>). At the heart of this adaptability, we propose a four-step process through which sentient animals execute adaptive responses:</p>
<list list-type="order">
<list-item>
<p>Detection: The sensory system identifies a relevant change within the animal, in the external (physical and social) environment, or both.</p></list-item>
<list-item>
<p>Evaluation: The organism appraises this change using a basic binary rule: is this new situation likely to reduce or enhance survival and reproductive success? In other words, is this change biologically relevant and, if so, is it a threat or an opportunity?</p></list-item>
<list-item>
<p>Forecasting: The organism predicts which action is most likely to resolve the threat or seize the opportunity, given competing demands, current state and capability to respond. This predictive process weighs expected affective outcomes against available physiological and cognitive factors, and the affordances the environment offers. Affective states play a central role in this evaluation, assigning urgency and value to competing options and thereby governing motivation and trade-offs.</p></list-item>
</list>
<p>The processes of detection, evaluation, and anticipatory forecasting generate the experience, i.e., felt affective phenomena that signal both the importance (salience) and the emotional value (valence: negative/positive) of the perceived change according to its relevance (<xref ref-type="bibr" rid="B159">Posner et&#xa0;al., 2005</xref>). The experience motivates, triggers, and controls the response; it tells the organism <italic>how much</italic> the situation matters, <italic>in what direction (approach or avoid)</italic> to respond, and <italic>how long</italic> to persist.</p>
<list list-type="simple">
<list-item>
<p>4. Response: The organism initiates the physiological and/or behavioural response that has been judged most adaptive. This is the point at which the system commits to a particular strategy. Arousal (activation) modulates the intensity of effort and system-wide mobilisation required to enact the chosen action. High arousal signals urgency, prompting greater resource allocation, whether to avoid or resolve a threat, or to seize an opportunity. Low arousal may signal lower stakes, a strategy for energy conservation or, under extreme threat, a defensive (adaptive) shutdown, such as freezing or tonic immobility. In positive contexts, low arousal may reflect states of satiation or rest, or active, low-arousal engagement with the environment or with other individuals within the animal&#x2019;s safety and comfort zones.</p></list-item>
</list>
<p>This four-step model reflects the functional architecture of affective experience as an evolved solution to the problem of adaptive decision-making. Experience is not incidental or epiphenomenal; rather it is central to the organism&#x2019;s ability to regulate itself in the face of change, exercise agency to resolve challenges, seize opportunities, engage with available affordances, restore function, and maintain viability.</p>
</sec>
<sec id="s4_3">
<label>4.3</label>
<title>Relevance: what matters to animals</title>
<p>Animals identify and organise meaning by determining what is threatening, rewarding, or worth paying attention to, and what they should and can do about it. These evaluative processes arise from the interplay between their teleonome&#x2019;s genetic inheritance and the non-inherited factors that influence its moment-to-moment expression. What matters to an animal at any given moment emerges dynamically from the ongoing process of filtering and prioritising information from both internal and external environments. This filtering keeps the animal attuned to conditions that are biologically relevant. By evaluating changes in relation to their current needs, capabilities, and vulnerabilities, animals focus attention and effort on the opportunities and challenges deemed most significant for maintaining viability.</p>
<p>In a teleonomic framing, relevance is actively enacted rather than passively received. The animal assigns significance to stimuli by relating them to what they can currently do, and what they need in that moment and situation. Although many of these tendencies reflect evolved predispositions, the teleonomic perspective treats them not as fixed &#x2018;instincts&#x2019; but as flexible capabilities whose expression is shaped by developmental history, learning, and current conditions. This is not a static process; each encounter with the world updates the animal&#x2019;s internal model, adjusting priorities and refining responses over time.</p>
</sec>
<sec id="s4_4">
<label>4.4</label>
<title>Updating predictions: the iterative nature of adaptive regulation and learning</title>
<p>The four-step detection, evaluation, forecasting, and response process does not operate as a linear sequence; rather, it cycles continuously as the affective, physiological, and environmental consequences of each response generate new feedback that informs subsequent cycles (<xref ref-type="fig" rid="f2"><bold>Figure&#xa0;2</bold></xref>). This dynamic process is well described in terms of an iterative Bayesian algorithm (<xref ref-type="bibr" rid="B68">Friston, 2010</xref>, <xref ref-type="bibr" rid="B69">2012</xref>; <xref ref-type="bibr" rid="B102">Lecorps and Weary, 2024</xref>). That is, the animal begins with a prior expectation based on inherited tendencies and previous (learned) experiences about what a given stimulus might mean and how to respond. As new evidence accumulates through sensory input and the outcomes of action, these priors are updated. The system recalibrates, refining future predictions and narrowing response options to those perceived to be most adaptive.</p>
<fig id="f2" position="float">
<label>Figure&#xa0;2</label>
<caption>
<p>The four-step adaptive process. A schematic representation of how affective experience regulates adaptive responses during individual lifetimes, and how each experience influences the next cycle. Steps 1 (Detection) and 2 (Evaluation) generate affective signals of salience, valence, and arousal, which are integrated in Step 3 (Forecasting), to govern motivation. In Step 4 (Response), the organism commits to a physiological and/or behavioural response that both addresses the immediate challenge and modifies subsequent affective states. These feed into the next cycle by updating priors to refine future responses. Original illustration by Cristina Wilkins. Contains graphical elements licensed for editorial use from <uri xlink:href="https://www.dreamstime.com/">Dreamstime.com</uri>.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fanim-07-1768519-g002.tif">
<alt-text content-type="machine-generated">Circular diagram illustrating four adaptive response steps: Detection (sensory system change), Evaluation (threat or opportunity), Forecasting (predicts best action), and Response (commits to adaptive behavior), with icons and brief descriptions in distinct colors.</alt-text>
</graphic></fig>
<p>Over time, this iterative loop supports increasingly efficient, context-sensitive regulation of behaviour and physiology. Behaviourally, it functions as a learning algorithm, using prediction errors to refine which actions are reinforced and repeated, and those that are punished and avoided (<xref ref-type="bibr" rid="B58">Emanuel and Eldar, 2023</xref>; <xref ref-type="bibr" rid="B69">Friston, 2012</xref>; <xref ref-type="bibr" rid="B102">Lecorps and Weary, 2024</xref>; <xref ref-type="bibr" rid="B135">Mendl and Paul, 2020</xref>). Physiologically, it allows animals to adjust not only their immediate responses, but the parameters they defend according to changing internal states and environmental demands (<xref ref-type="bibr" rid="B160">Ramsay and Woods, 2014</xref>, <xref ref-type="bibr" rid="B161">2016</xref>, <xref ref-type="bibr" rid="B162">2024</xref>). In this sense, the process reflects the principles of allostasis (the capability for dynamic, experience-dependent adaptation through anticipatory regulation and resource allocation). At a more detailed physiological level, there is a flexibly integrated interaction between homeostatic &#x201c;steady state&#x201d; fluctuations of salient parameters around specific &#x201c;set points,&#x201d; and an allostatic shifting of these set points and parameter fluctuations around them as a response to change. This process helps explain how animals can adapt rapidly to changing environments without deliberation, through embodied mechanisms of learning and regulation that are inherently probabilistic and error-corrective. Species differ in how rapidly and flexibly they adapt and, in some, this behavioural and physiological plasticity has played a central role in facilitating domestication.</p>
<p>However, when animals face conditions outside the range to which they are evolutionarily adapted, the regulatory systems that work to maintain stability during change can become overtaxed. This may occur when animals are confronted with extreme physical environments, or are exposed to pathogens, parasites, or other factors to which the species lacks immunity. It may also occur when their sensory systems cannot detect, or their behavioural repertoires cannot resolve, the challenges with which they are faced. Whilst short-term shifts in physiology and behaviour support survival, prolonged or repeated demands may generate cumulative dysfunction, colloquially &#x201c;wear and tear,&#x201d; known as allostatic load (<xref ref-type="bibr" rid="B32">Cicchetti, 2011</xref>). In such cases, the very mechanisms that enable flexible adjustment risk undermining long-term function, setting animals on declining welfare trajectories (<xref ref-type="bibr" rid="B56">Edes et&#xa0;al., 2018</xref>; <xref ref-type="bibr" rid="B116">McEwen, 1998</xref>; <xref ref-type="bibr" rid="B177">Schulkin, 2004</xref>; <xref ref-type="bibr" rid="B179">Seeley et&#xa0;al., 2022</xref>; <xref ref-type="bibr" rid="B210">Wolfe and Edes, 2023</xref>) (<xref ref-type="fig" rid="f3"><bold>Figure&#xa0;3</bold></xref>). Most animal welfare research has tracked these processes using a limited range of biomarkers, most commonly glucocorticoids and changes in heart rate, which can be informative but are notoriously ambiguous, since both elevated and suppressed concentrations and rates can reflect dysregulation, and our interpretations depend on context, baselines, and individual variation [e.g (<xref ref-type="bibr" rid="B139">Monteiro et&#xa0;al., 2023</xref>; <xref ref-type="bibr" rid="B186">Stafford and Mellor, 2005</xref>)]. In response, researchers have called for the development of species-specific allostatic load indices, arguing that integrated measures are needed to capture the cumulative physiological costs of lifetime adaptation (<xref ref-type="bibr" rid="B56">Edes et&#xa0;al., 2018</xref>; <xref ref-type="bibr" rid="B179">Seeley et&#xa0;al., 2022</xref>; <xref ref-type="bibr" rid="B210">Wolfe and Edes, 2023</xref>). These proposed indices would align well with, and be strengthened by, the construction of species-specific teleonomes and affectomes. Taken together, teleonomic, affective and allostatic load profiles could provide the conceptual scaffolding and the practical inventories needed to identify which biomarkers, behavioural indicators, and affective phenomena are most relevant to each species&#x2019; evolved capabilities and vulnerabilities.</p>
<fig id="f3" position="float">
<label>Figure&#xa0;3</label>
<caption>
<p>Accumulation of allostatic load across the lifespan. Each central circle depicts the organism&#x2019;s four-step adaptive process&#x2014;detection, evaluation, forecasting, and response&#x2014;the mechanism through which affective state is generated and influences future behaviour. As the individual interacts with its environment, this process continually updates expectations (priors), shaping how future situations are perceived and acted upon. At the same time, repeated effort to cope with change can generate allostatic load, the accumulating physiological and psychological costs of maintaining viability. The expanding rings illustrate how, over time, experience may both <italic>enrich teleonomic expression</italic> (broader behavioural possibilities) and <italic>constrain it</italic> through cumulative load. The upper illustration shows a trajectory in which load accumulates gradually across developmental stages (juvenile, reproductive adult, elder), allowing sustained expression of agency throughout life. The lower illustration depicts a contrasting trajectory in which allostatic load builds rapidly, overwhelming regulatory capability and resulting in earlier collapse of teleonomic expression and reduced lifespan. Together, these diagrams highlight that the expressed teleonome at any moment reflects inherited potential shaped by an individual&#x2019;s unique history of learning, opportunity, and &#x201c;wear and tear&#x201d;. Original illustration by Cristina Wilkins. Contains graphical elements licensed for editorial use from <uri xlink:href="https://www.dreamstime.com/">Dreamstime.com</uri>.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fanim-07-1768519-g003.tif">
<alt-text content-type="machine-generated">Two line graphs compare allostatic load versus lifetime progression for two scenarios. Both show circles growing from juvenile to elder, then shrinking at death. The lower graph shows earlier, faster growth and earlier death.</alt-text>
</graphic></fig>
</sec>
<sec id="s4_5">
<label>4.5</label>
<title>Influences on the teleonome&#x2019;s real-time expression</title>
<p>At any given moment, the way in which an individual&#x2019;s teleonome is expressed reflects the interaction between inherited capabilities and a suite of non-inherited influences. Phylogenetically inherited perceptual, physiological, and behavioural tendencies form the structural basis of teleonomic relevance (<xref ref-type="bibr" rid="B88">Hennig, 2011b</xref>; <xref ref-type="bibr" rid="B104">Linnean Society, 2021</xref>; <xref ref-type="bibr" rid="B150">Pagel, 1997</xref>; <xref ref-type="bibr" rid="B157">Pittendrigh, 1958</xref>). They give rise to &#x2018;evolutionary priors,&#x2019; or expectations about what is likely to matter in the animal&#x2019;s world and how they are likely to respond (<xref ref-type="bibr" rid="B142">Nave et&#xa0;al., 2020</xref>; <xref ref-type="bibr" rid="B193">Tooby et&#xa0;al., 2024</xref>). These inherited expectations may be modulated by epigenetic processes that fine-tune responsiveness (<xref ref-type="bibr" rid="B73">Gibney and Nolan, 2010</xref>; <xref ref-type="bibr" rid="B92">Jaenisch and Bird, 2003</xref>). However, the real-time manifestation of the animal&#x2019;s biological potential is modulated and governed by non-inherited factors during the individual animal&#x2019;s lifetime (<xref ref-type="bibr" rid="B136">Moczek, 2015</xref>; <xref ref-type="bibr" rid="B206">West-Eberhard, 2020</xref>) (<xref ref-type="fig" rid="f4"><bold>Figure&#xa0;4</bold></xref>).</p>
<fig id="f4" position="float">
<label>Figure&#xa0;4</label>
<caption>
<p>Non-inherited factors affecting the expression of an individual animal&#x2019;s teleonome. Original illustration by Cristina Wilkins. Contains graphical elements licensed for editorial use from <uri xlink:href="https://www.dreamstime.com/">Dreamstime.com</uri>.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fanim-07-1768519-g004.tif">
<alt-text content-type="machine-generated">Diagram showing non-inherited influences such as life stage, learning history, environmental context, physical state, allostatic load, and mental state, each with arrows pointing to a green box defining expressed teleonome. Below, three dogs sit or lie on the grass near a flock of sheep, depicting herding behavior.</alt-text>
</graphic></fig>
<p>Non-inherited influences on the expressed teleonome include:</p>
<list list-type="bullet">
<list-item>
<p>Life stage, sex, and reproductive stage or state: As noted in Section 3.3.1., at different stages of development from infancy to senescence, motivational priorities and capabilities shift. The affordances available to a young or ageing individual differ from those of a mature adult, influencing what matters to the animal and what actions are possible at any given time.</p></list-item>
<list-item>
<p>Learning history: Through experiences of reinforcement, punishment, habituation, and associative learning, animals acquire ontogenetic adaptations that update inherited expectations and govern motivation. This accumulated learning history refines future perception and response, supporting adaptive flexibility when demands remain within manageable bounds.</p></list-item>
<list-item>
<p>Environmental context: Every behaviour and experience is relational, anchored both in ancestral environments that shaped the teleonome and in the present environment that tests its fit. However, adaptability is bounded. Although animals can adjust to novel or shifting conditions, flexibility has limits and may entail both physiological and psychological costs.</p></list-item>
<list-item>
<p>Allostatic load: When challenges are excessive, persistent, and/or unpredictable, the cumulative effort to restore stability or implement adjusted operational reference ranges can generate less sustainable operational dynamics&#x2013; allostatic load &#x2013; which constrains future responsiveness and reduces resilience (<xref ref-type="fig" rid="f3"><bold>Figure&#xa0;3</bold></xref>).</p></list-item>
<list-item>
<p>Current capabilities: Physical and mental states, including states of arousal, affective tone, and energy balance, modulate perception and shape what is prioritised in the moment, i.e., what the animal can notice, value, and act upon.</p></list-item>
</list>
<p>These influences interact continuously, allowing the animal to regulate their position within a tolerable range of states (adaptive operational zones) and to shift behaviour in ways that support viability. When challenges are too intense, too frequent, and/or too prolonged, they may overwhelm the organism&#x2019;s capability to update or recover (sometimes labelled coping), leading to high allostatic load, reduced resilience, and compromised welfare (<xref ref-type="bibr" rid="B4">Arndt et&#xa0;al., 2022</xref>; <xref ref-type="bibr" rid="B210">Wolfe and Edes, 2023</xref>).</p>
<p>Understanding this dynamic architecture of experience is essential in animal welfare science, where the core aim is to assess how animals feel, and how their feelings shift in response to the environments in which we choose to locate them [e.g (<xref ref-type="bibr" rid="B77">Green and Mellor, 2011</xref>; <xref ref-type="bibr" rid="B106">Littlewood et&#xa0;al., 2023</xref>; <xref ref-type="bibr" rid="B129">Mellor et&#xa0;al., 2020</xref>; <xref ref-type="bibr" rid="B163">Rault et&#xa0;al., 2025</xref>)]. Accordingly, science has moved from snapshots in time to welfare trajectories in order to capture the temporal and contextual nature of animal welfare [e.g (<xref ref-type="bibr" rid="B97">Kirkland and Cunningham, 2012</xref>; <xref ref-type="bibr" rid="B155">Paul et&#xa0;al., 2023</xref>)]. Monitoring welfare involves more than checking for physical health or abnormal behaviour; it requires interpreting how animals appraise their conditions based on what matters to them (<xref ref-type="bibr" rid="B129">Mellor et&#xa0;al., 2020</xref>). This interpretive step requires recognition of when their inherited expectations and capabilities, accumulated experience, or current capabilities are functioning well or being over-taxed. By tracing these interacting influences, welfare assessments can become more biologically based and more attuned to the individual animal&#x2019;s perspective, helping identify not only when welfare is compromised, but why.</p>
</sec>
<sec id="s4_6">
<label>4.6</label>
<title>Hierarchies of affective concern</title>
<p>The nested architecture proposed in the <italic>Human Affectome</italic> (<xref ref-type="bibr" rid="B176">Schiller et&#xa0;al., 2024</xref>) provides a biological rationale for weighting animal welfare indicators according to their evolutionary and functional relevance. <xref ref-type="bibr" rid="B176">Schiller et&#xa0;al. (2024)</xref> propose that affective processes are organised hierarchically from immediate, survival-related concerns to broader, long-term ones, each operating over different temporal and spatial scales. This hierarchy reflects a continuous evaluation of change in terms of urgency and ongoing viability. This aligns with animal studies that see affective experience as a structured system for prioritising different levels of adaptive relevance (<xref ref-type="bibr" rid="B152">Panksepp, 2005</xref>; <xref ref-type="bibr" rid="B153">Panksepp et&#xa0;al., 2011</xref>; <xref ref-type="bibr" rid="B154">Panksepp and Zellner, 2004</xref>). Proximal concerns (e.g., breathlessness, pain, hunger, thirst, and thermoregulatory perception) signal immediate threats to physiological stability and may, therefore, command higher priority action (<xref ref-type="bibr" rid="B9">Beausoleil and Mellor, 2015b</xref>; <xref ref-type="bibr" rid="B121">Mellor, 2010</xref>). Distal concerns operate over longer timeframes, shaping future behaviour, learning and mood (<xref ref-type="bibr" rid="B184">&#x160;pinka, 2019</xref>). The layers interact such that chronic disruption of distal concerns can eventually alter physiological regulation, just as unresolved acute needs can cascade into longer-term dysregulation (<xref ref-type="bibr" rid="B35">Colditz and Hine, 2016</xref>; <xref ref-type="bibr" rid="B112">Mason and Rushen, 2006</xref>).</p>
<p>The animal affectome, here regarded as the subset of the teleonome responsible for generating, interpreting and prioritising affective responses, defines how the animal responds to change. It encompasses both self-regulatory, interoceptive systems (e.g., breathlessness, pain, hunger, thermoregulation) and social affective systems that monitor and regulate relationships with conspecifics (e.g., isolation distress, affiliative bonding, social confidence). For social species, both interoceptive and social-affective systems are equally fundamental to maintaining viability. This means that welfare assessments that prioritise physiological indicators, while treating social deprivation as secondary, fail to recognise the integrated teleonomic architecture through which these animals regulate their existence. At the individual level, consistency in affective and behavioural responses, often called temperament or personality, has been documented across diverse taxa and shown to have heritable bases and fitness consequences (<xref ref-type="bibr" rid="B164">R&#xe9;ale et&#xa0;al., 2007</xref>). Teleonomy explains why such individual differences persist: different response strategies represent alternative solutions to the same regulatory challenges under varying ecological and social conditions.</p>
<p>Teleonomic reasoning thus offers a biological rationale for weighting welfare indicators according to their biological relevance, offering a principled way to address the persistent challenge of determining the relative significance of different experiences on an animal&#x2019;s overall welfare (<xref ref-type="bibr" rid="B208">Wilkins et&#xa0;al., 2024</xref>). Mapping affective hierarchies within species-specific affective profiles may help interpret how multiple experiences interact, compete, or compound to influence behaviour and welfare trajectories. This approach links affective neuroscience and welfare assessment under a shared biological logic; namely, one that infers what matters to animals not by analogy with human feelings, but by reference to their evolved systems for staying alive and well.</p>
</sec>
</sec>
<sec id="s5">
<label>5</label>
<title>Focused topics and future development</title>
<p>Operationalising the teleonome will establish a structured basis for undertaking research that integrates evolutionary biology, affective neuroscience, learning theory, and welfare science under a shared commitment to interpret animal experience through the lens of organism-centric biological relevance. This section outlines several priority areas for further development and the application of teleonomic principles across these contexts.</p>
<sec id="s5_1">
<label>5.1</label>
<title>Species-specific model development</title>
<p>Future work should focus on developing and refining knowledge of specific perceptual, affective, and motivational systems at species- and morphotype-levels, based on empirical evidence and ethological insights. These profiles should be informed by knowledge of the evolutionary pressures that shaped the species&#x2019; teleonomes. They should remain flexible and open to revision as new evidence emerges and be co-developed with welfare practitioners to ensure relevance and practical application. These requirements will ensure that the teleonomic framework will remain relevant, useful, and scientifically progressive.</p>
<p>As noted earlier, compiling a teleonome (i.e., an inventory of teleonomic traits) for any type of animal should follow a structured, systematic approach identifying traits, systems, and adaptive capabilities shaped by natural and artificial selection to achieve survival and reproductive goals. Inclusion may be guided by evidence that: (a) the trait is historically adaptive (i.e., its structure, integration, and distribution across related species suggests functional contributions to ancestral fitness); (b) the underlying motivational system remains functionally intact and capable of being triggered and expressed given appropriate environmental conditions and affordances (even if currently latent); and (c) the trait is organised around detecting or exploiting specific ancestral affordances.</p>
<p>Evidence that preventing a trait&#x2019;s expression leads to physiological stress, stereotypies, injury and/or disease, impaired development, or negative affective states may strengthen the case for inclusion. Such outcomes indicate that the associated motivational and regulatory systems remain active, even if the trait is currently constrained or unsupported by the environment. The teleonome also encompasses inherited capabilities and limitations for teleonomically relevant learning and allostasis. Grounds for provisional exclusion could include the following: traits lacking current evidence of historical selection for functional outcomes; those showing no apparent integration with internal regulatory or affective systems; and those whose manipulation produces no detectable welfare impacts. An example is variations in traits for which there is currently no evidence of integration with viability relevant systems. Nevertheless, teleonomes should be regularly updated as new evidence emerges (<xref ref-type="bibr" rid="B12">Bi&#xe9;mont and Vieira, 2006</xref>; <xref ref-type="bibr" rid="B19">Brancalion et&#xa0;al., 2022</xref>; <xref ref-type="bibr" rid="B156">Pennisi, 2012</xref>).</p>
</sec>
<sec id="s5_2">
<label>5.2</label>
<title>Allostatic load indices</title>
<p>Understanding a species&#x2019; teleonome, including the affective capabilities and the ecological conditions to which it is evolutionarily fitted, may support more refined welfare assessments by shifting focus from momentary measures to patterns of chronic affective dysregulation. Indicators of sustained allostatic load, persistent hyperarousal, or blunted affect reveal long-term strain on regulatory systems that short-term &#x2018;snapshot&#x2019; evaluations can overlook (<xref ref-type="bibr" rid="B56">Edes et&#xa0;al., 2018</xref>; <xref ref-type="bibr" rid="B179">Seeley et&#xa0;al., 2022</xref>). Adopting a teleonomic perspective emphasises welfare as an ongoing process of adaptive regulation rather than a static state by its linking of physiology, affect, and behaviour through the common principle of maintaining viability under changing conditions.</p>
<p>Recent work has called for the development of species-specific allostatic load indices to quantify cumulative physiological costs of adaptation over time (<xref ref-type="bibr" rid="B210">Wolfe and Edes, 2023</xref>). The <italic>teleonome</italic> provides the conceptual foundation for this effort: because each lineage has evolved distinct regulatory architectures and affective sensitivities, the biomarkers that best indicate chronic dysregulation at different life stages will differ accordingly.</p>
<p>Teleonomic systems keep adjusting until they are no longer able to; therefore, endurance in suboptimal conditions should not be misinterpreted as resilience. Animals may continue to function while accruing cumulative costs, and it is precisely the organism&#x2019;s persistence in adapting that can systematically hide deteriorating welfare trajectories. Teleonomically grounded indices could therefore integrate endocrine, behavioural, and autonomic measures in ways that reflect the species&#x2019; evolved organisation and ecological history (<xref ref-type="bibr" rid="B116">McEwen, 1998</xref>; <xref ref-type="bibr" rid="B210">Wolfe and Edes, 2023</xref>). Such longitudinal tools could help identify early warning signals of affective compromise before overt pathology emerges, advancing both the predictive and preventive dimensions of welfare science.</p>
</sec>
<sec id="s5_3">
<label>5.3</label>
<title>Animal research design and methodology</title>
<p>The teleonomic principle offers a foundation for aligning experimental design with the animal&#x2019;s evolved capabilities and affective relevance. Future research should evaluate whether experimental tasks activate meaningful concerns or impose artificial constraints. Teleonomic reasoning may help guide the design of control conditions that correspond to the species-evolved features, while also accommodating individual variation. The purpose is to avoid defaulting to established management and husbandry practices that may conflict with the animal&#x2019;s teleonome, impose unnecessary allostatic load, or reflect anthropocentric assumptions.</p>
<p>For example, in domestic horses, the use of equipment such as bits or nosebands, or housing in individual stables, may be considered standard control conditions in equitation and equine science studies. Yet such conditions are teleonomically inconsistent: horses did not evolve to solve the challenges these conditions impose, and the conditions are far removed from the ecological and social contexts that shaped the equine teleonome. So, using such baselines can confound interpretation by introducing unacknowledged stressors that mask or distort the measured effects of experimental interventions, leading to underestimation of their true impacts on affective experience and welfare.</p>
<p>Understanding the focal animal&#x2019;s teleonome also enables interpretation of findings in terms of motivational relevance, not merely performance metrics or statistical significance. A teleonomic framework can also help avoid common interpretive errors. These include: misclassifying high arousal as preference; mistaking decreases in physiological measures for calm states; assuming that no measurable change implies no welfare effect; construing behavioural inhibition due to an animal&#x2019;s low expectations of control as indicating resolution; or restrained or controlled behaviour as evidence of assent, especially during interactions with humans. These risks are increasingly recognised in welfare-focused behaviour modification research, and are explicitly addressed in recent methodological guidance such as the COMPASS Guidelines (<xref ref-type="bibr" rid="B117">McGreevy et&#xa0;al., 2026</xref>), which emphasise species-relevant controls, motivational validity, precautionary stopping criteria, and careful interpretation of behavioural and physiological indicators in studies involving animal training, handling, or restraint.</p>
</sec>
<sec id="s5_4">
<label>5.4</label>
<title>Learning theory and cognitive bias</title>
<p>A teleonomic lens can reveal the ways in which evolved motivational systems shape learning, prediction, and decision-making. As framed by teleonomic principles, learning is a process by which organisms update internal models to avoid threats and pursue opportunities in dynamic environments (<xref ref-type="bibr" rid="B102">Lecorps and Weary, 2024</xref>). The teleonome provides the species-specific architecture (motivational, perceptual, and affective) that constrains what an animal can learn and how.</p>
<p>Reinforcement and punishment are therefore more than behavioural contingencies; they carry affective weight that modulates how the animal evaluates contexts, predicts outcomes, and adapts to change. Future research should focus on characterising the affective valence, salience, and subjective value of stimuli used in training, and on examining how affective states influence prediction errors, learning speed, and generalisation. Attention should especially be given to how these processes interact with agency, control, and persistence of positive expectation, all of which emerge from the organism&#x2019;s teleonomic organisation (<xref ref-type="bibr" rid="B36">Colditz and Tilbrook, 2022</xref>; <xref ref-type="bibr" rid="B106">Littlewood et&#xa0;al., 2023</xref>; <xref ref-type="bibr" rid="B110">Maier and Seligman, 2016</xref>; <xref ref-type="bibr" rid="B202">Webster, 2008</xref>).</p>
<p>Such investigations can illuminate how Bayesian updating of expectations contributes to adaptive stability and competence building or, conversely, to chronic dysregulation, pessimism, and learned helplessness (<xref ref-type="bibr" rid="B102">Lecorps and Weary, 2024</xref>), especially in contexts involving ambiguity or loss of control. Taken together, teleonomic assumptions will support more nuanced interpretations of animal training contexts, outcomes, coping strategies, and the mechanism through which experience shapes adaptive engagement with the social and physical environments.</p>
</sec>
<sec id="s5_5">
<label>5.5</label>
<title>Applications across contexts</title>
<p>As species-specific teleonomic profiles mature, they may inform veterinary decision-making (e.g., balancing treatment goals with affective impact), policy and regulation (e.g., transport and slaughter standards based on species), as well as enrichment and husbandry design (e.g., aligning environmental features with species-specific motivational systems) and end-of-life decisions. In each case, the goal would be to design these experiential events not just around the animal, but with the animal&#x2019;s affective and motivational world in focus.</p>
</sec>
<sec id="s5_6">
<label>5.6</label>
<title>Bioethics</title>
<p>Teleonomic reasoning centres analysis on the individual organism, seeking to understand the world from their perspective and recognising that the pursuit of viability is immanent &#x2013; arising from within the animal. This principle aligns with interest-based ethical frameworks such as Bernard Rollin&#x2019;s telos (<xref ref-type="bibr" rid="B170">Rollin, 2017</xref>) and Christine Korsgaard&#x2019;s extension of Kantian ethics, which treats animals as ends in themselves, and therefore grounds the moral question &#x201c;<italic>what ought to matter to us?</italic>&#x201d; in what actually matters to them, from their own perspective (<xref ref-type="bibr" rid="B15">Birch, 2020</xref>; <xref ref-type="bibr" rid="B99">Korsgaard, 2004</xref>, <xref ref-type="bibr" rid="B101">2023</xref>, <xref ref-type="bibr" rid="B100">2013</xref>). It is compatible with core aspects of Martha <xref ref-type="bibr" rid="B147">Nussbaum&#x2019;s (2023)</xref> interests and capabilities approach, which focuses on enabling animals to exercise their species-specific capabilities and fulfil the lives their natures make possible (<xref ref-type="bibr" rid="B147">Nussbaum, 2023</xref>; <xref ref-type="bibr" rid="B195">Tulloch, 2011</xref>). Together, these perspectives support the idea that welfare assessment should consider whether animals have the agency and affordances that enable them to engage in the activities and experiences that their evolved systems are designed to support.</p>
<p>A teleonomic approach that incorporates species-specific teleonomes highlights that many animals now inhabit environments that no longer match the conditions their functional organisation evolved to meet. As a result, the teleonomic systems that once motivated adaptive behaviour may be under-stimulated, misdirected, or unable to find expression. Captive animals (exotic and domesticated), for example, may retain substantial elements of the motivational architecture of their ancestral teleonome but limited agency and/or affordances (i.e., opportunities) to deploy their physical and cognitive capabilities through exploration, risk taking, and learning to control their surroundings, all of which could be central to their physical and psychological wellbeing.</p>
<p>Domesticated animals face a further layer of complexity because as well as living in managed environments, their teleonome has been altered by artificial selection. Sometimes, the traits favoured by humans reduce the physiological and psychological costs of captivity, while others impair viability or create extreme dependency on human care. Many domesticated species are now equipped to survive in human environments where their wild ancestors could not. However, they are often simultaneously rendered incapable of surviving without artificial care and reproductive assistance, while retaining the motivational systems that artificial environments frequently fail to support. Artificially selected extreme morphotypes are associated with compromised welfare (<xref ref-type="bibr" rid="B6">Asher et&#xa0;al., 2009</xref>) but even animals bred for non-extreme attributes can have elevated levels of disease.</p>
<p>Selective breeding practices in pedigree dogs, including the use of closed studbooks and popular sires, inadvertently increase the expression of inherited disorders that are not directly linked to breed standards (<xref ref-type="bibr" rid="B189">Summers et&#xa0;al., 2010</xref>). Many of these disorders, including conditions affecting the nervous-sensory, cardiovascular, and immune systems may not manifest until adulthood, complicating breeding decisions and welfare assessment (<xref ref-type="bibr" rid="B37">Collins et&#xa0;al., 2010</xref>; <xref ref-type="bibr" rid="B189">Summers et&#xa0;al., 2010</xref>). This dissociation explains why domesticated animals may be numerically successful population-wise, while individuals experience chronic welfare compromise. These situations expose the profound epistemic and ethical challenges of intervening in evolved systems. While removing a trait and its motivational architecture through genetic engineering might theoretically eliminate associated suffering in environments that prevent its expression (<xref ref-type="bibr" rid="B168">Rollin, 2014</xref>, <xref ref-type="bibr" rid="B173">2020</xref>), the teleonomic perspective suggests that such interventions should be approached with extreme caution. This is because teleonomic traits exist within deeply integrated networks of physiological, neural, behavioural, and ecological systems, and altering one component may have cascading effects that are impossible to predict or detect until significant harm has occurred. What appears to be a targeted modification may compromise adaptive capabilities in ways that only become apparent over extended periods or across multiple generations. In production systems characterised by rapid turnover from birth to culling, these delayed effects are easily obscured. Such systems have created epistemic blind spots that favour short-term productivity while masking the gradual erosion of genetic and experiential resilience. Over time, animals may become increasingly dependent on human management to survive, generating self-reinforcing cycles of intervention that ultimately threaten both welfare and economic sustainability.</p>
<p>Here, it is crucial to clarify that recognising a capability or behaviour as teleonomic does not imply that enabling its expression will necessarily improve welfare, nor that such expression ought to be facilitated in managed contexts. Many teleonomic traits &#x2013; including agonistic competition, reproductive effort, antipredator responses, illness behaviour, risk-taking, and persistence under extreme physiological challenge &#x2013; are evolutionarily conserved precisely because they contributed to reproductive success or survival under ancestral conditions, even when they imposed substantial physiological stress, injury, or negative affect at the level of the individual. From a teleonomic perspective, these traits remain biologically relevant, but their expression may conflict with welfare aims in contemporary or human-managed environments. This tension does not undermine the relevance of teleonomy to welfare assessment; rather, it sharpens it. Welfare does not track whether teleonomic capabilities are exercised and fulfilled <italic>per se</italic>, but whether the motivational and regulatory systems that give rise to them can operate coherently within the conditions provided. In environments that exaggerate, constrain, or distort evolved contingencies &#x2013; such as captivity, intensive production, or urban free-ranging contexts &#x2013; allowing unrestricted expression of certain teleonomic behaviours (e.g., resource-guarding, coercive mating, predation, or terminal persistence) may predictably generate harm to the individual or others.</p>
<p>A teleonomic approach therefore requires careful discrimination between recognising a behaviour as part of an animal&#x2019;s evolved organisation and judging whether enabling its expression under specific conditions supports or undermines welfare. This distinction is especially salient under artificial selection, where selective amplification of particular traits (e.g., fecundity, milk yield, growth rate, or appetite) can disrupt the balance of integrated teleonomic systems, rendering animals increasingly dependent on human intervention. Acknowledging these conflicts does not romanticise &#x201c;natural&#x201d; lives or reject domestication. Rather, it foregrounds the ethical responsibility to evaluate how far evolved systems can be pushed before regulatory coherence, resilience, and lived viability are compromised.</p>
<p>These considerations suggest that genetic modifications which impair teleonomic (viability-oriented) systems would require extraordinary justification. A teleonomic framing does not prescribe simple answers to ethical questions, but establishes a biologically grounded basis for evaluating how far interventions into evolved systems can be ethically justified.</p>
</sec>
</sec>
<sec id="s6">
<label>6</label>
<title>Limitations and safeguards</title>
<p>While the teleonome offers a unifying biological framework for understanding welfare from the animal&#x2019;s perspective, it remains primarily a conceptual model. Its strength lies in providing a shared foundational assumption across disciplines; however, that strength also marks a limitation. There is a risk that users apply the teleonomic principle only at the level of inherited capabilities, rather than operationalising their individualised and context-specific expression. If applied only at this broad level, the framework could inadvertently obscure the fine-grained mechanistic details that matter for welfare assessment and research. Translating teleonomic reasoning into operational measures will require extensive empirical validation, iterative refinement, and interdisciplinary collaboration. However, much of the necessary groundwork already exists in research that links species-typical mechanisms to their adaptive functions, the consequences of their disruption, and the resulting impacts on viability and welfare (e.g (<xref ref-type="bibr" rid="B1">Alonso and Schuck-Paim, 2022</xref>; <xref ref-type="bibr" rid="B8">Beausoleil and Mellor, 2015a</xref>, <xref ref-type="bibr" rid="B10">2017</xref>; <xref ref-type="bibr" rid="B55">Dubois et&#xa0;al., 2017</xref>; <xref ref-type="bibr" rid="B65">Fraser et&#xa0;al., 2013</xref>; <xref ref-type="bibr" rid="B82">Harvey et&#xa0;al., 2023</xref>; <xref ref-type="bibr" rid="B86">Hemsworth et&#xa0;al., 2015</xref>; <xref ref-type="bibr" rid="B128">Mellor and Beausoleil, 2015</xref>; <xref ref-type="bibr" rid="B180">Sherwen et&#xa0;al., 2018</xref>; <xref ref-type="bibr" rid="B203">Webster et&#xa0;al., 2015</xref>).</p>
<p>A second limitation concerns epistemic scope. Teleonomic reasoning interprets biological and behavioural phenomena in terms of evolved function, but it cannot, by itself, define welfare norms or moral value. The framework is descriptive rather than prescriptive: it can explain why animals are organised and behave as they do, but not what they ought to experience or how humans ought to act toward them. Without complementary ethical analysis, teleonomy could be misapplied as a justification for existing practices (e.g., over-taxing animals&#x2019; adaptability under the guise of promoting resilience) rather than a tool useful for critiquing them.</p>
<p>There are also methodological challenges in operationalising the teleonome across species. Identifying which traits and affective processes belong to a given species&#x2019; teleonome depends on historical and ecological inference, which can be uncertain or incomplete. The quality of these inferences will vary with the availability and resolution of phylogenetic, ethological, and neurobiological data. For many taxa, and particularly those outside intensive research contexts, teleonomic profiles will initially rely on analogical reasoning, introducing interpretive bias. In welfare science, where inference already involves translating measurable indicators into subjective experience, these additional layers of uncertainty must be made explicit.</p>
<p>Further, the teleonome&#x2019;s integration of affective processes, homeostatic and allostatic regulation, behavioural agency and environmental affordances remains heuristic at this stage. While the proposed four-step adaptive process and affective loops draw on established principles of neuroscience and physiology, empirical mapping of these functions to specific welfare indicators is still incomplete. The framework therefore serves as a guide for hypothesis generation and experimental design rather than as a ready-made assessment tool. Finally, there are pragmatic constraints to its adoption. Applying teleonomic reasoning consistently will require a concerted effort to reduce reliance on proxy measures and to recognise and minimise inadvertent anthropocentric assumptions, shifting instead toward biologically grounded and animal-centred interpretations of meaning and motivation. This transition calls for greater conceptual literacy across multiple disciplines that may have developed distinct languages and methodologies. Without institutional and educational support for such integration, the teleonome may remain more persuasive in theory than transformative in practice.</p>
</sec>
<sec id="s7">
<label>7</label>
<title>Summing up: the biological foundation, welfare interpretation and ethical relevance of the teleonome</title>
<p>The following three tables summarise the conceptual scope of the teleonome across biological, welfare, and ethical domains. Together, they clarify what the teleonome explains about living systems, how welfare-relevant phenomena can be interpreted through teleonomic organisation before making normative assumptions, and how teleonomic reasoning can inform, but not determine, ethical evaluation. By distinguishing biological description (<xref ref-type="table" rid="T2"><bold>Table&#xa0;2</bold></xref>), welfare interpretation (<xref ref-type="table" rid="T3"><bold>Table&#xa0;3</bold></xref>), and ethical relevance (<xref ref-type="table" rid="T4"><bold>Table&#xa0;4</bold></xref>), these tables consolidate the teleonome as a coherent foundation for integrative and animal-centred welfare science.</p>
<table-wrap id="T2" position="float">
<label>Table&#xa0;2</label>
<caption>
<p>Biological foundations of the teleonome.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" align="center">Aspect</th>
<th valign="middle" align="center">What the teleonome does</th>
<th valign="middle" align="center">Acknowledging the teleonome does not imply:</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" align="left">Ontological status</td>
<td valign="middle" align="left">Provides a biological description of an organism&#x2019;s integrated, evolved systems for sustaining life, regulating internal state, and reproducing over a finite lifespan</td>
<td valign="middle" align="left">That life is benign, optimised, or oriented toward comfort, happiness, or longevity</td>
</tr>
<tr>
<td valign="middle" align="left">Core viability systems</td>
<td valign="middle" align="left">Includes fundamental evolved systems such as respiration, circulation, nutrition, immune defence, physiological and affective regulation, and the behavioural tendencies that enable them</td>
<td valign="middle" align="left">That teleonomic systems can be removed or indefinitely overloaded without compromising the organism as an autonomous living system</td>
</tr>
<tr>
<td valign="middle" align="left">Relation to harm and death</td>
<td valign="middle" align="left">Recognises that living necessarily involves risk, injury, disease, and ultimately death; negative states are signals that trigger corrective responses and shape avoidance learning</td>
<td valign="middle" align="left">That harm, stress, or mortality indicate failure of teleonomy or invalidate teleonomic explanation(s)</td>
</tr>
<tr>
<td valign="middle" align="left">Adaptive vs beneficial</td>
<td valign="middle" align="left">Identifies traits shaped by selection because they contribute to viability and reproduction, even when costly or dangerous</td>
<td valign="middle" align="left">That adaptive traits are necessarily welfare-enhancing or ethically desirable</td>
</tr>
</tbody>
</table>
</table-wrap>
<table-wrap id="T3" position="float">
<label>Table&#xa0;3</label>
<caption>
<p>Welfare interpretation when applying the teleonomic principle.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" align="center">Aspect</th>
<th valign="middle" align="center">What the teleonome does</th>
<th valign="middle" align="center">What acknowledging the teleonome does not imply:</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" align="left">Motivation and negative affect</td>
<td valign="middle" align="left">Treats unpleasant affective states as integral components of teleonomic regulation that motivate action and learning</td>
<td valign="middle" align="left">That the teleonome is a justification for exposing animals to harm because it is &#x2018;natural&#x2019; or &#x2018;adaptive&#x2019;</td>
</tr>
<tr>
<td valign="middle" align="left">Monitoring and positive affect</td>
<td valign="middle" align="left">Treats positive affective states as signals that regulatory processes are proceeding effectively, biological goals have been achieved or impediments resolved, and current conditions support ongoing viability</td>
<td valign="middle" align="left">That positive experiences can offset negative ones or compensate for unresolved harm or chronic dysregulation</td>
</tr>
<tr>
<td valign="middle" align="left">Inclusion in the teleonome</td>
<td valign="middle" align="left">Reflects biological relevance and integrated motivational/regulatory systems</td>
<td valign="middle" align="left">That teleonomic expression should always be enabled or promoted in managed environments</td>
</tr>
</tbody>
</table>
</table-wrap>
<table-wrap id="T4" position="float">
<label>Table&#xa0;4</label>
<caption>
<p>Ethical relevance of the teleonome and teleonomic principle.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" align="center">Aspect</th>
<th valign="middle" align="center">What the teleonome is/does</th>
<th valign="middle" align="center">What acknowledging the teleonome does not imply:</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" align="left">Domestication</td>
<td valign="middle" align="left">Understands domestication as a gradual redirection and constraining of teleonomic systems within human-controlled environments</td>
<td valign="middle" align="left">That domesticated animals no longer possess teleonomic organisation relevant to welfare assessment</td>
</tr>
<tr>
<td valign="middle" align="left">Artificial selection</td>
<td valign="middle" align="left">Recognises that artificial selection can profoundly reshape trait expression, allostatic load, and integration, often increasing dependency on human support</td>
<td valign="middle" align="left">That artificial selection creates an entirely new teleonome or removes the organism&#x2019;s basic viability-oriented organisation</td>
</tr>
<tr>
<td valign="middle" align="left">Relation to animal welfare science</td>
<td valign="middle" align="left">Provides a biological reference frame for interpreting welfare indicators</td>
<td valign="middle" align="left">That it is a complete or standalone welfare theory</td>
</tr>
<tr>
<td valign="middle" align="left">Relation to animal and veterinary ethics</td>
<td valign="middle" align="left">Constrains ethical reasoning by identifying biological interests and vulnerabilities</td>
<td valign="middle" align="left">That it is a normative framework prescribing how humans ought to care for animals</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec id="s8" sec-type="conclusions">
<label>8</label>
<title>Conclusion</title>
<p>The teleonome provides a unifying biological framework for understanding animals in terms of evolved, goal-directed systems whose subjective experiences are integral to maintaining viability in dynamic environments. By making teleonomic principles explicit, animal welfare science can connect the physiological, behavioural, cognitive, and affective dimensions of life within a single explanatory architecture. The teleonome gives this architecture a concrete form: it is the relational system of traits and processes through which each species, morphotype, and individual detects, values, forecasts, and responds to change in pursuit of telos (biological goals). This framing positions welfare as an ongoing process of adaptive regulation rather than a static state. It explains why affective experiences matter &#x2013; not as moral add-ons, but as evolved mechanisms that help organisms navigate opportunities and threats, balance risk, and sustain coherence with their environments. From this perspective, suffering and pleasure alike signal changes in the efficiency and integrity of the teleonome. Welfare assessment, therefore, must interpret physiological and behavioural data through the lens of biological relevance, asking whether the animal&#x2019;s context supports or undermines the expression of their evolved capabilities.</p>
<p>Operationalising the teleonome requires systematic description of species-specific teleonomic traits and their affective correlates. Such inventories can guide the design of meaningful environments and interactions, improve welfare assessment, and refine research models so that tasks, controls, and baselines correspond to what animals are organised to notice, value and respond to. In this way, the teleonome functions as both a conceptual and methodological scaffolding for integrating proximate and ultimate explanations of behaviour, learning, and welfare.</p>
<p>Teleonomic reasoning also supports an interest-based ethical compass. Recognising that each animal&#x2019;s organisation embodies evolutionary commitments to certain kinds of worlds allows us to consider how our interventions &#x2013; husbandry, research, training, or genetic modification &#x2013; affect the interdependence and coherence between teleonomes and environments.</p>
<p>Maintaining a high degree of teleonomic coherence becomes a principle of precaution; altering animals or environments faster than adaptive systems can respond risks degrading individual welfare and the diversity of adaptive strategies that underpin resilience over time. Ultimately, the teleonome invites a shift in focus from managing bodies and behaviours to understanding the dynamic systems that make physiological and behavioural responses biologically relevant. It offers animal welfare science a common language grounded in biology yet open to ethical reflection, one that situates every measurement and interpretation within the embodied logic of the animal itself. By aligning research and practice with teleonomic reasoning, we can move toward a more coherent, predictive, and compassionate science of animal life.</p>
</sec>
</body>
<back>
<sec id="s9" sec-type="author-contributions">
<title>Author contributions</title>
<p>CW: Conceptualization, Project administration, Visualization, Writing &#x2013; original draft, Writing &#x2013; review &amp; editing. CH: Supervision, Writing &#x2013; review &amp; editing. AL: Supervision, Writing &#x2013; review &amp; editing. DM: Supervision, Writing &#x2013; review &amp; editing. MF: Supervision, Writing &#x2013; review &amp; editing. PM: Conceptualization, Supervision, Writing &#x2013; review &amp; editing.</p></sec>
<ack>
<title>Acknowledgments</title>
<p>We would like to thank Jill Fernandes for constructive comments on an earlier version of this manuscript. Strong thanks to the referees whose constructive comments significantly improved the article. We are grateful to the handling editor, Ruth Newbury, for the detailed editorial guidance and suggestions that further strengthened the final manuscript.</p>
</ack>
<sec id="s11" sec-type="COI-statement">
<title>Conflict of interest</title>
<p>The author(s) declared that this work was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p></sec>
<sec id="s12" sec-type="ai-statement">
<title>Generative AI statement</title>
<p>The author(s) declared that generative AI was used in the creation of this manuscript. LLM models (Claude Sonnet 4.5 and ChatGPT 5.2) were used by the first author to support iterative refinement of author-generated content through editing suggestions and terminology exploration. All AI-assisted content remained under full author control, with thorough verification of accuracy, validity and appropriate attribution.</p>
<p>Any alternative text (alt text) provided alongside figures in this article has been generated by Frontiers with the support of artificial intelligence and reasonable efforts have been made to ensure accuracy, including review by the authors wherever possible. If you identify any issues, please contact us.</p></sec>
<sec id="s13" sec-type="disclaimer">
<title>Publisher&#x2019;s note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p></sec>
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<p>Edited by: <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/189811">Ruth C. Newberry</ext-link>, Norwegian University of Life Sciences, Norway</p></fn>
<fn id="n2" fn-type="custom" custom-type="reviewed-by">
<p>Reviewed by: <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/189674">Marek Spinka</ext-link>, Czech University of Life Sciences Prague, Czechia</p>
<p><ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/131028">F. Josef van der Staay</ext-link>, Utrecht University, Netherlands</p></fn>
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