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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Ecol. Evol.</journal-id>
<journal-title>Frontiers in Ecology and Evolution</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Ecol. Evol.</abbrev-journal-title>
<issn pub-type="epub">2296-701X</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fevo.2022.867350</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Ecology and Evolution</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Energetics and Water Flux in the Subterranean Rodent Family Bathyergidae</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" corresp="yes">
<name><surname>Hart</surname> <given-names>Daniel W.</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="corresp" rid="c001"><sup>&#x002A;</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/1395587/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Bennett</surname> <given-names>Nigel C.</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/1369069/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Oosthuizen</surname> <given-names>Maria K.</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/154798/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Waterman</surname> <given-names>Jane M.</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/684313/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Hambly</surname> <given-names>Catherine</given-names></name>
<xref ref-type="aff" rid="aff4"><sup>4</sup></xref>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name><surname>Scantlebury</surname> <given-names>David M.</given-names></name>
<xref ref-type="aff" rid="aff5"><sup>5</sup></xref>
<xref ref-type="corresp" rid="c002"><sup>&#x002A;</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/1704865/overview"/>
</contrib>
</contrib-group>
<aff id="aff1"><sup>1</sup><institution>Department of Zoology and Entomology, University of Pretoria</institution>, <addr-line>Hatfield</addr-line>, <country>South Africa</country></aff>
<aff id="aff2"><sup>2</sup><institution>Mammal Research Institute, University of Pretoria</institution>, <addr-line>Hatfield</addr-line>, <country>South Africa</country></aff>
<aff id="aff3"><sup>3</sup><institution>Department of Biological Sciences, University of Manitoba</institution>, <addr-line>Winnipeg, MB</addr-line>, <country>Canada</country></aff>
<aff id="aff4"><sup>4</sup><institution>Institute of Biological and Environmental Sciences, University of Aberdeen</institution>, <addr-line>Aberdeen</addr-line>, <country>United Kingdom</country></aff>
<aff id="aff5"><sup>5</sup><institution>School of Biological Sciences, Queen&#x2019;s University Belfast, 19 Chlorine Gardens</institution>, <addr-line>Belfast</addr-line>, <country>United Kingdom</country></aff>
<author-notes>
<fn fn-type="edited-by"><p>Edited by: Todd Jason McWhorter, University of Adelaide, Australia</p></fn>
<fn fn-type="edited-by"><p>Reviewed by: Hynek Burda, University of Duisburg-Essen, Germany; Micha&#x0142; S. Wojciechowski, Nicolaus Copernicus University in Toru&#x0144;, Poland</p></fn>
<corresp id="c001">&#x002A;Correspondence: Daniel W. Hart, <email>u10022725@tuks.co.za</email></corresp>
<corresp id="c002">David M. Scantlebury, <email>m.scantlebury@qub.ac.uk</email></corresp>
<fn fn-type="other" id="fn004"><p>This article was submitted to Behavioral and Evolutionary Ecology, a section of the journal Frontiers in Ecology and Evolution</p></fn>
</author-notes>
<pub-date pub-type="epub">
<day>02</day>
<month>06</month>
<year>2022</year>
</pub-date>
<pub-date pub-type="collection">
<year>2022</year>
</pub-date>
<volume>10</volume>
<elocation-id>867350</elocation-id>
<history>
<date date-type="received">
<day>01</day>
<month>02</month>
<year>2022</year>
</date>
<date date-type="accepted">
<day>19</day>
<month>04</month>
<year>2022</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x00A9; 2022 Hart, Bennett, Oosthuizen, Waterman, Hambly and Scantlebury.</copyright-statement>
<copyright-year>2022</copyright-year>
<copyright-holder>Hart, Bennett, Oosthuizen, Waterman, Hambly and Scantlebury</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/"><p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). 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.</p></license>
</permissions>
<abstract>
<p>The doubly labeled water (DLW) technique and indirect calorimetry enable measurement of an animal&#x2019;s daily energy expenditure (DEE, kJ/day), resting metabolic rate (RMR, kJ/d), sustained metabolic scope (SusMS), body fat content (BF, %) as well as water turnover (WTO, ml/day), and water economy index (ml/kJ). Small mammals have been the primary focus of many of the DLW studies to date. From large multi-species analyses of the energetics and water flux of aboveground small mammals, well-defined trends have been observed. These trends mainly refer to an adaptive advantage for lower RMR, DEE, SusMS, WTO and WEI in more ariddwelling animals to increase water and energy savings under low and unpredictable resource availability. The study of the subterranean rodent family Bathyergidae (African mole-rats) has been of particular interest with regards to field metabolic rate and metabolic studies. Although a great deal of research has been conducted on the Bathyergidae, a complete overview and multi-species analysis of the energetics and water flux of this family is lacking. Consequently, we assessed DEE, RMR, SusMS, BF, WTO and WEI across several different species of bathyergids from various climatic regions, and compared these to the established patterns of energetics and water flux for aboveground rodents. There was notable variation across the Bathyergidae inhabiting areas with different aridities, often contrary to the variations observed in above-ground species. These include increased DEE and WEI in arid-dwelling bathyergid species. While the climate was not a clear factor when predicting the SusMS of a bathyergid species, rather the degree of group living was a strong driver of SusMS, with solitary species possessing the highest SusMS compared to the socially living species. We conclude that the constraints of the underground lifestyle and the consequent spectrum of social behaviors possessed by the family Bathyergidae are most likely to be more crucial to their energetics and water flux than their habitat; however other important unstudied factors may still be at play. More so, this study provides evidence that often unreported parameters, measured through use of the DLW technique (such as BF and WEI) can enable species to be identified that might be at particular risk to climate change.</p>
</abstract>
<kwd-group>
<kwd>daily energy expenditure (DEE)</kwd>
<kwd>resting metabolic rate (RMR)</kwd>
<kwd>sustained metabolic scope (SusMS)</kwd>
<kwd>water turnover (WTO)</kwd>
<kwd>water economy index (WEI)</kwd>
<kwd>body fat (BF)</kwd>
<kwd>African mole-rats</kwd>
<kwd>aridity</kwd>
</kwd-group>
<contract-sponsor id="cn001">National Research Foundation<named-content content-type="fundref-id">10.13039/501100001321</named-content></contract-sponsor>
<counts>
<fig-count count="4"/>
<table-count count="3"/>
<equation-count count="10"/>
<ref-count count="95"/>
<page-count count="17"/>
<word-count count="12900"/>
</counts>
</article-meta>
</front>
<body>
<sec id="S1" sec-type="intro">
<title>Introduction</title>
<p>The doubly labeled water (DLW) technique has been a powerful tool for measuring free-living energy expenditure in animals since its development in 1955 (<xref ref-type="bibr" rid="B44">Lifson et al., 1955</xref>; <xref ref-type="bibr" rid="B45">Lifson and McClintock, 1966</xref>; <xref ref-type="bibr" rid="B77">Speakman, 1997a</xref>). This technique has enabled great strides in understanding how biotic and abiotic pressures shape the daily energy expenditure (DEE) of animals whilst undertaking natural behaviors in the field. However, many other important biological parameters can be calculated using DLW methodology, which involves isotope dilution and elimination. Such aspects include water turnover (WTO), which is the rate that water leaves the body of an animal (&#x2018;efflux&#x2019;), water economic index (WEI), which is the ratio of WTO to DEE (<xref ref-type="bibr" rid="B57">Nagy, 2004</xref>), and body fat content (BF) which can be calculated by the body water dilution space (e.g., <xref ref-type="bibr" rid="B68">Scantlebury et al., 2006a</xref>). Furthermore, when DEE is combined with the measurements of resting metabolic rate (RMR), through the use of indirect calorimetry, one can determine measures of sustained metabolic scope (SusMS, DEE/RMR), which is an independent index of how hard an animal is working (<xref ref-type="bibr" rid="B16">Drent and Daan, 1980</xref>; <xref ref-type="bibr" rid="B63">Peterson et al., 1990</xref>; <xref ref-type="bibr" rid="B26">Hammond and Diamond, 1997</xref>). Determinations of both WEI and SusMS are useful as they enable comparisons between different species to be made (<xref ref-type="bibr" rid="B63">Peterson et al., 1990</xref>; <xref ref-type="bibr" rid="B26">Hammond and Diamond, 1997</xref>; <xref ref-type="bibr" rid="B57">Nagy, 2004</xref>). However, in most cases, researchers only report some of the biological parameters that can be calculated through the use of DLW and RMR measurements, which can restrict our understanding of the selection pressures that shape an animal&#x2019;s energy balance (DEE, RMR, and SusMS), health (BF) as well as water balance (WTO and WEI).</p>
<p>In particular, small mammals, such as rodents, have been the primary focus of much of the DLW research due to their ease of capture in the wild and requirements for a lower (and less expensive) DLW dose (<xref ref-type="bibr" rid="B80">Speakman and Kr&#x00F3;l, 2005</xref>). For several reasons, the rodent family Bathyergidae (African mole-rats) has been a group of animals of particular interest for researchers. Apart from being an exclusively subterranean rodent family, they also exhibit varying degrees of sociality ranging from solitary to social to even eusocial (<xref ref-type="bibr" rid="B37">Jarvis and Bennett, 1993</xref>; <xref ref-type="bibr" rid="B17">Faulkes et al., 1997</xref>; <xref ref-type="bibr" rid="B4">Bennett and Faulkes, 2000</xref>; <xref ref-type="bibr" rid="B11">Burland et al., 2002</xref>). Social and eusocial bathyergids exhibit cooperative breeding and a reproductive division of labor in which a single breeding female and one to three of the largest males breed within the colony (<xref ref-type="bibr" rid="B4">Bennett and Faulkes, 2000</xref>). The remaining colony members are reproductively suppressed, and a marked division of labor, with breeders spending approximately half as much time foraging as their non-breeding counterparts, is apparent (<xref ref-type="bibr" rid="B69">Scantlebury et al., 2006c</xref>; <xref ref-type="bibr" rid="B43">Lacey and Sherman, 2009</xref>; <xref ref-type="bibr" rid="B60">Oosthuizen and Bennett, 2015</xref>; <xref ref-type="bibr" rid="B21">Francioli et al., 2020</xref>; <xref ref-type="bibr" rid="B35">Houslay et al., 2020</xref>). Furthermore, they persist over a wide range of climates, elevations and substrates from both mesic and arid environments, with behavioral and physiological adaptations being suggested to correspond to the macroclimate they experience (<xref ref-type="bibr" rid="B7">Bennett et al., 1988</xref>; <xref ref-type="bibr" rid="B18">Faulkes et al., 2004</xref>; <xref ref-type="bibr" rid="B52">McGowan et al., 2020</xref>; <xref ref-type="bibr" rid="B91">Wallace et al., 2021</xref>). For example, species of African mole-rats that inhabit soft sandy substrates with a mesic climate are often solitary, possess a larger body masses and use both their teeth and forelimbs, &#x201C;scratch digging&#x201D;, to dig, such as those species belonging to the genus of <italic>Bathyergus</italic> (<xref ref-type="bibr" rid="B4">Bennett and Faulkes, 2000</xref>). In contrast, species that inhabit arid areas with harder substrates are often smaller, social, and utilize &#x201C;chisel-tooth&#x201D; digging to extend burrows (<xref ref-type="bibr" rid="B4">Bennett and Faulkes, 2000</xref>). The family also hosts a range of thermoregulatory abilities, from endothermic homeothermy (<xref ref-type="bibr" rid="B84">&#x0160;umbera, 2019</xref>) to heterothermy (<xref ref-type="bibr" rid="B8">Bennett et al., 1993</xref>; <xref ref-type="bibr" rid="B9">Boyles et al., 2012</xref>; <xref ref-type="bibr" rid="B62">Oosthuizen et al., 2021</xref>) and poikilothermy (<xref ref-type="bibr" rid="B10">Buffenstein and Yahav, 1991</xref>; <xref ref-type="bibr" rid="B12">Cheng et al., 2021</xref>) which has been observed to affect their behavior (<xref ref-type="bibr" rid="B27">Hart et al., 2021</xref>; <xref ref-type="bibr" rid="B20">Finn et al., 2022</xref>).</p>
<p>The subterranean niche provides a relatively thermostable environment (<xref ref-type="bibr" rid="B7">Bennett et al., 1988</xref>, <xref ref-type="bibr" rid="B8">1993</xref>; <xref ref-type="bibr" rid="B85">&#x0160;umbera et al., 2004</xref>; <xref ref-type="bibr" rid="B34">Holtze et al., 2018</xref>; <xref ref-type="bibr" rid="B84">&#x0160;umbera, 2019</xref>) as well as a shelter from aboveground predators and temperature extremes (<xref ref-type="bibr" rid="B4">Bennett and Faulkes, 2000</xref>; <xref ref-type="bibr" rid="B19">Finn et al., 2020</xref>). However, burrow systems have hypoxic and hypercapnic atmospheres with poor ventilation, high humidity, and limited access to light (<xref ref-type="bibr" rid="B39">Kennerly, 1964</xref>; <xref ref-type="bibr" rid="B14">Darden, 1972</xref>; <xref ref-type="bibr" rid="B65">Roper et al., 2001</xref>; <xref ref-type="bibr" rid="B36">Ivy et al., 2020</xref>; <xref ref-type="bibr" rid="B46">Logan et al., 2020</xref>). In addition, excavation of tunnel systems is energetically more expensive than aboveground exploration (<xref ref-type="bibr" rid="B90">Vleck, 1979</xref>), with energy requirements of digging directly related to soil moisture and hardness (<xref ref-type="bibr" rid="B48">Lovegrove, 1989</xref>; <xref ref-type="bibr" rid="B86">Thomas et al., 2009</xref>, <xref ref-type="bibr" rid="B87">2016</xref>). The added energy expenditure necessary for digging, in conjunction with the fact that African mole-rats obtain all their nutrient and water requirements from the storage organs of underground geophytes (<xref ref-type="bibr" rid="B2">Bennett et al., 1994</xref>; <xref ref-type="bibr" rid="B5">Bennett and Jarvis, 1995</xref>; <xref ref-type="bibr" rid="B83">Spinks et al., 1999</xref>; <xref ref-type="bibr" rid="B51">Malherbe et al., 2003</xref>), has been suggested to exacerbate the selection pressures placed upon African mole-rats to enable them to locate adequate resources for survival and reproduction (<xref ref-type="bibr" rid="B4">Bennett and Faulkes, 2000</xref>). The energetic cost of digging under the unique microclimate within the tunnels they inhabit has been hypothesized to lead to lower RMRs and body temperatures displayed by African mole-rats in comparison to aboveground rodent species (<xref ref-type="bibr" rid="B53">McNab, 1966</xref>; <xref ref-type="bibr" rid="B76">Shkolnik and Schmidt-Nielsen, 1976</xref>; <xref ref-type="bibr" rid="B3">Bennett et al., 1992</xref>, <xref ref-type="bibr" rid="B8">Bennett et al., 1993</xref>, <xref ref-type="bibr" rid="B2">1994</xref>; <xref ref-type="bibr" rid="B52">McGowan et al., 2020</xref>) and a social and eusocial lifestyle in species inhabiting very arid environments [the &#x2018;Arid-Food-Distribution-Hypothesis&#x2019; <xref ref-type="bibr" rid="B38">Jarvis et al. (1994)</xref>; <xref ref-type="bibr" rid="B42">Lacey and Sherman (1997)</xref>].</p>
<p>Studies measuring the DEE and RMR in various species of African mole-rat (<xref ref-type="table" rid="T1">Table 1</xref>) have revealed insights into the biotic and abiotic pressures that influence the energy fluxes of these species. For example, <xref ref-type="bibr" rid="B69">Scantlebury et al. (2006c)</xref> revealed distinct physiological castes related to body fat and dispersal likelihood. Both <xref ref-type="bibr" rid="B69">Scantlebury et al. (2006c)</xref> and <xref ref-type="bibr" rid="B95">Zelov&#x00E1; et al. (2011)</xref> showed that seasonal fluctuation in soil moisture due to the seasonal rainfall affects DEE and SusMS in a eusocial and solitary mole-rat species, respectively. To-date, only one study has directly compared the ecological relevance of energetic differences between two species of African mole-rat (<xref ref-type="bibr" rid="B70">Scantlebury et al., 2006b</xref>). This study concluded that the energy costs of sexual dimorphism are likely to be due to the maintenance of a larger body size in males, rather than sex-differences in behavior <italic>per se</italic>. This study also compared an exclusive chisel tooth digger with a forelimb (scratch digger) that also uses tooth digging and found that the latter species possessed a higher SusMS (i.e., it worked &#x2018;harder&#x2019;) than the exclusive chisel tooth digger. However, as in other studies that measured DEE and RMR, not all possible biological parameters were investigated.</p>
<table-wrap position="float" id="T1">
<label>TABLE 1</label>
<caption><p>Overview of previously published and original data that utilized the DEE methodology on various African mole-rat species.</p></caption>
<table cellspacing="5" cellpadding="5" frame="hsides" rules="groups">
<thead>
<tr>
<td valign="top" align="left">Species</td>
<td valign="top" align="center">&#x201C;Caste&#x201D; or sex</td>
<td valign="top" align="center">Season</td>
<td valign="top" align="center">Body mass (g)</td>
<td valign="top" align="center">Mass-corrected RMR (kJ g<sup>&#x2013;1</sup> day<sup>&#x2013;1</sup>)</td>
<td valign="top" align="center">Mass-corrected DEE (kJ g<sup>&#x2013;1</sup> day<sup>&#x2013;1</sup>)</td>
<td valign="top" align="center">SusMS</td>
<td valign="top" align="center">BF</td>
<td valign="top" align="center">WEI<break/> (ml.kJ <sup>&#x2013;1</sup>)</td>
<td valign="top" align="center">Publication</td>
<td valign="top" align="center">Raw data available</td>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left"><italic>Fukomys damarensis</italic></td>
<td valign="top" align="center">Infrequent workers</td>
<td valign="top" align="center">Dry</td>
<td valign="top" align="center">133</td>
<td valign="top" align="center">0.42</td>
<td valign="top" align="center">0.54</td>
<td valign="top" align="center">1.4</td>
<td valign="top" align="center">11.1</td>
<td valign="top" align="center">0.35</td>
<td valign="top" align="center"><xref ref-type="bibr" rid="B69">Scantlebury et al., 2006c</xref>, This study</td>
<td valign="top" align="center">Yes</td>
</tr>
<tr>
<td valign="top" align="left"/><td valign="top" align="center"/><td valign="top" align="center">Wet</td>
<td valign="top" align="center">139</td>
<td valign="top" align="center">0.43</td>
<td valign="top" align="center">0.82</td>
<td valign="top" align="center">2.2</td>
<td valign="top" align="center">10.3</td>
<td valign="top" align="center"/><td valign="top" align="center"/><td valign="top" align="center"/></tr>
<tr>
<td valign="top" align="center"/><td valign="top" align="center">Frequent workers</td>
<td valign="top" align="center">Dry</td>
<td valign="top" align="center">78</td>
<td valign="top" align="center">0.57</td>
<td valign="top" align="center">0.90</td>
<td valign="top" align="center">1.9</td>
<td valign="top" align="center">8.9</td>
<td valign="top" align="center"/><td valign="top" align="center"/><td valign="top" align="center"/></tr>
<tr>
<td valign="top" align="left"/><td valign="top" align="center"/><td valign="top" align="center">Wet</td>
<td valign="top" align="center">93</td>
<td valign="top" align="center">0.47</td>
<td valign="top" align="center">0.88</td>
<td valign="top" align="center">1.9</td>
<td valign="top" align="center">7.7</td>
<td valign="top" align="center"/><td valign="top" align="center"/><td valign="top" align="center"/></tr>
<tr>
<td valign="top" align="left"/><td valign="top" align="center">Queen</td>
<td valign="top" align="center">Dry</td>
<td valign="top" align="center">124</td>
<td valign="top" align="center">0.39</td>
<td valign="top" align="center">0.63</td>
<td valign="top" align="center">1.6</td>
<td valign="top" align="center">10.9</td>
<td valign="top" align="center"/><td valign="top" align="center"/><td valign="top" align="center"/></tr>
<tr>
<td valign="top" align="left"/><td valign="top" align="center"/><td valign="top" align="center">Wet</td>
<td valign="top" align="center">110</td>
<td valign="top" align="center">0.44</td>
<td valign="top" align="center">0.97</td>
<td valign="top" align="center">2.5</td>
<td valign="top" align="center">8.5</td>
<td valign="top" align="center"/><td valign="top" align="center"/><td valign="top" align="center"/></tr>
<tr>
<td valign="top" align="left"><italic>Bathyergus janetta</italic></td>
<td valign="top" align="center">Male</td>
<td valign="top" align="center">Wet</td>
<td valign="top" align="center">423</td>
<td valign="top" align="center">0.27</td>
<td valign="top" align="center">0.89</td>
<td valign="top" align="center">3.2</td>
<td valign="top" align="center">4.3</td>
<td valign="top" align="center">0.22</td>
<td valign="top" align="center"><xref ref-type="bibr" rid="B70">Scantlebury et al., 2006b</xref>, This study</td>
<td valign="top" align="center">Yes</td>
</tr>
<tr>
<td valign="top" align="left"/><td valign="top" align="center">Female</td>
<td valign="top" align="center">Wet</td>
<td valign="top" align="center">291</td>
<td valign="top" align="center">0.34</td>
<td valign="top" align="center">0.88</td>
<td valign="top" align="center">2.6</td>
<td valign="top" align="center"/><td valign="top" align="center"/><td valign="top" align="center"/><td valign="top" align="center"/></tr>
<tr>
<td valign="top" align="left"><italic>Georychus capensis</italic></td>
<td valign="top" align="center">Male</td>
<td valign="top" align="center">Wet</td>
<td valign="top" align="center">137</td>
<td valign="top" align="center">0.53</td>
<td valign="top" align="center">1.00</td>
<td valign="top" align="center">1.9</td>
<td valign="top" align="center">14.1</td>
<td valign="top" align="center">0.15</td>
<td valign="top" align="center"><xref ref-type="bibr" rid="B70">Scantlebury et al., 2006b</xref>, This study</td>
<td valign="top" align="center">Yes</td>
</tr>
<tr>
<td valign="top" align="left"/><td valign="top" align="center">Female</td>
<td valign="top" align="center">Wet</td>
<td valign="top" align="center">127</td>
<td valign="top" align="center">0.41</td>
<td valign="top" align="center">1.10</td>
<td valign="top" align="center">2.8</td>
<td valign="top" align="center"/><td valign="top" align="center"/><td valign="top" align="center"/><td valign="top" align="center"/></tr>
<tr>
<td valign="top" align="left"><italic>Cryptomys hottentotus natalensis</italic></td>
<td valign="top" align="center">Both sexes</td>
<td valign="top" align="center">Both season</td>
<td valign="top" align="center">86</td>
<td valign="top" align="center">0.82</td>
<td valign="top" align="center">1.11</td>
<td valign="top" align="center">1.51</td>
<td valign="top" align="center">8.5</td>
<td valign="top" align="center">0.19</td>
<td valign="top" align="center"><xref ref-type="bibr" rid="B50">Lutermann et al., 2013</xref>, This study</td>
<td valign="top" align="center">Yes</td>
</tr>
<tr>
<td valign="top" align="left"><italic>Bathyergus suillus</italic></td>
<td valign="top" align="center">Both sexes</td>
<td valign="top" align="center">Both seasons</td>
<td valign="top" align="center">943</td>
<td valign="top" align="center">0.23</td>
<td valign="top" align="center">2.06</td>
<td valign="top" align="center">2.40</td>
<td valign="top" align="center">10.3</td>
<td valign="top" align="center">0.18</td>
<td valign="top" align="center">This study</td>
<td valign="top" align="center">Yes</td>
</tr>
<tr>
<td valign="top" align="left"><italic>Heliophobius argenteocinereus</italic></td>
<td valign="top" align="center">Both sexes</td>
<td valign="top" align="center">Dry</td>
<td valign="top" align="center">161</td>
<td valign="top" align="center">0.53</td>
<td valign="top" align="center">0.76</td>
<td valign="top" align="center">1.5</td>
<td valign="top" align="center">-</td>
<td valign="top" align="center">-</td>
<td valign="top" align="center"><xref ref-type="bibr" rid="B95">Zelov&#x00E1; et al., 2011</xref></td>
<td valign="top" align="center">No</td>
</tr>
<tr>
<td valign="top" align="left"/><td valign="top" align="center"/><td valign="top" align="center">Wet</td>
<td valign="top" align="center">162</td>
<td valign="top" align="center">0.53</td>
<td valign="top" align="center">1.00</td>
<td valign="top" align="center">2.0</td>
<td valign="top" align="center"/><td valign="top" align="center"/><td valign="top" align="center"/><td valign="top" align="center"/></tr>
</tbody>
</table>
<table-wrap-foot>
<fn><p><italic>Presented data includes resting metabolic rates (RMR), daily energy expenditures (DEE), sustained metabolic scopes (SusMS), water economy index (WEI) and body fat percentage (BF) in bathyergids with different social organizations or sexes over different seasons. If the raw data was available for this current study was also indicated.</italic></p></fn>
</table-wrap-foot>
</table-wrap>
<p>Although a great deal of research has been conducted on the Bathyergidae family, a complete overview and multi-species analysis of the energetics and water flux of the family is still absent. Consequently, we assessed a combination of energetic parameters, namely DEE, RMR, SusMS, BF, WTO, and WEI, across several different species of bathyergid mole-rats (<xref ref-type="table" rid="T1">Tables 1</xref>, <xref ref-type="table" rid="T2">2</xref>). We also include previously unpublished energetics data on the largest African mole-rat species, <italic>Bathyergus suillus</italic>, and data from two sympatric terrestrial aboveground rodent species for comparison (<xref ref-type="table" rid="T2">Table 2</xref>).</p>
<table-wrap position="float" id="T2">
<label>TABLE 2</label>
<caption><p>Scientific names and life history characteristics of the five mole-rat species and two aboveground foraging rodent species used in this study.</p></caption>
<table cellspacing="5" cellpadding="5" frame="hsides" rules="groups">
<thead>
<tr>
<td valign="top" align="left">Species</td>
<td valign="top" align="center">Abbreviation</td>
<td valign="top" align="center">n</td>
<td valign="top" align="center">Lifestyle</td>
<td valign="top" align="center">Sociality</td>
<td valign="top" align="center">Thermoregulation</td>
<td valign="top" align="center">Activity pattern</td>
<td valign="top" align="center">Digging method</td>
<td valign="top" align="center">Foraging tunnel depths (cm)</td>
<td valign="top" align="center">Nest depths (cm)</td>
<td valign="top" align="center">Capture area</td>
<td valign="top" align="center">GPS</td>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left"><italic>Bathyergus suillus</italic></td>
<td valign="top" align="center">BS</td>
<td valign="top" align="center">5</td>
<td valign="top" align="center">Subterranean <sup><xref ref-type="table-fn" rid="t2fn1">8</xref>, <xref ref-type="table-fn" rid="t2fn1">9</xref></sup></td>
<td valign="top" align="center">Solitary<xref ref-type="table-fn" rid="t2fn1"><sup>9</sup></xref></td>
<td valign="top" align="center">Homeothermic<sup><xref ref-type="table-fn" rid="t2fn1">10</xref></sup></td>
<td valign="top" align="center">Nocturnal<sup><xref ref-type="table-fn" rid="t2fn1">11</xref></sup></td>
<td valign="top" align="center">Claw scratcher/chisel tooth digger<xref ref-type="table-fn" rid="t2fn1"><sup>9</sup></xref></td>
<td valign="top" align="center">30<sup><xref ref-type="table-fn" rid="t2fn1">13</xref></sup></td>
<td valign="top" align="center">30<sup><xref ref-type="table-fn" rid="t2fn1">13</xref></sup></td>
<td valign="top" align="center">Darling, Western Cape</td>
<td valign="top" align="center">33&#x00B0;24&#x2032; S 18&#x00B0;25&#x2032; E</td>
</tr>
<tr>
<td valign="top" align="left"><italic>Bathyergus janetta</italic></td>
<td valign="top" align="center">BJ</td>
<td valign="top" align="center">13</td>
<td valign="top" align="center">Subterranean<xref ref-type="table-fn" rid="t2fn1"><sup>9</sup></xref></td>
<td valign="top" align="center">Solitary<xref ref-type="table-fn" rid="t2fn1"><sup>9</sup></xref></td>
<td valign="top" align="center">Homeothermic</td>
<td valign="top" align="center">Crepuscular</td>
<td valign="top" align="center">Claw scratcher/chisel tooth digger<xref ref-type="table-fn" rid="t2fn1"><sup>9</sup></xref></td>
<td valign="top" align="center">30<xref ref-type="table-fn" rid="t2fn1"><sup>9</sup></xref></td>
<td valign="top" align="center">30<xref ref-type="table-fn" rid="t2fn1"><sup>9</sup></xref></td>
<td valign="top" align="center">Kamieskroon, Northern Cape</td>
<td valign="top" align="center">30&#x00B0;12&#x2032; S 17&#x00B0;56&#x2032; E</td>
</tr>
<tr>
<td valign="top" align="left"><italic>Georychus capensis</italic></td>
<td valign="top" align="center">GC</td>
<td valign="top" align="center">15</td>
<td valign="top" align="center">Subterranean<sup><xref ref-type="table-fn" rid="t2fn1">8</xref>,<xref ref-type="table-fn" rid="t2fn1">9</xref></sup></td>
<td valign="top" align="center">Solitary <xref ref-type="table-fn" rid="t2fn1"><sup>9</sup></xref></td>
<td valign="top" align="center">Homeothermic<sup><xref ref-type="table-fn" rid="t2fn1">10</xref></sup></td>
<td valign="top" align="center">Nocturnal<sup><xref ref-type="table-fn" rid="t2fn1">11</xref></sup></td>
<td valign="top" align="center">Chisel tooth digger<xref ref-type="table-fn" rid="t2fn1"><sup>9</sup></xref></td>
<td valign="top" align="center">10-15<sup><xref ref-type="table-fn" rid="t2fn1">16</xref></sup></td>
<td valign="top" align="center">10-15<sup><xref ref-type="table-fn" rid="t2fn1">16</xref></sup></td>
<td valign="top" align="center">Darling, Western Cape</td>
<td valign="top" align="center">33&#x00B0;24&#x2032; S 18&#x00B0;25&#x2032; E</td>
</tr>
<tr>
<td valign="top" align="left"><italic>Cryptomys hottentotus natalensis</italic></td>
<td valign="top" align="center">CHN</td>
<td valign="top" align="center">49</td>
<td valign="top" align="center">Subterranean<xref ref-type="table-fn" rid="t2fn1"><sup>9</sup></xref></td>
<td valign="top" align="center">Social<xref ref-type="table-fn" rid="t2fn1"><sup>9</sup></xref></td>
<td valign="top" align="center">Heterothermic<sup><xref ref-type="table-fn" rid="t2fn1">15</xref></sup></td>
<td valign="top" align="center">Nocturnal<sup><xref ref-type="table-fn" rid="t2fn1">14</xref></sup></td>
<td valign="top" align="center">Chisel tooth digger<xref ref-type="table-fn" rid="t2fn1"><sup>9</sup></xref></td>
<td valign="top" align="center">20<sup><xref ref-type="table-fn" rid="t2fn1">12</xref></sup></td>
<td valign="top" align="center">30<sup><xref ref-type="table-fn" rid="t2fn1">12</xref></sup></td>
<td valign="top" align="center">Glengarry, Kwa-Zulu Natal</td>
<td valign="top" align="center">29&#x00B0;45&#x2032;S 29&#x00B0;13&#x2032;E</td>
</tr>
<tr>
<td valign="top" align="left"><italic>Fukomys damarensis</italic></td>
<td valign="top" align="center">FD</td>
<td valign="top" align="center">67</td>
<td valign="top" align="center">Subterranean<sup><xref ref-type="table-fn" rid="t2fn1">8</xref>,<xref ref-type="table-fn" rid="t2fn1">9</xref></sup></td>
<td valign="top" align="center">Social<xref ref-type="table-fn" rid="t2fn1"><sup>9</sup></xref></td>
<td valign="top" align="center">Homeothermic<sup><xref ref-type="table-fn" rid="t2fn1">12</xref></sup></td>
<td valign="top" align="center">Diurnal<sup><xref ref-type="table-fn" rid="t2fn1">11</xref></sup></td>
<td valign="top" align="center">Chisel tooth digger<xref ref-type="table-fn" rid="t2fn1"><sup>9</sup></xref></td>
<td valign="top" align="center">5-25<sup><xref ref-type="table-fn" rid="t2fn1">12</xref></sup></td>
<td valign="top" align="center">250<sup><xref ref-type="table-fn" rid="t2fn1">12</xref></sup></td>
<td valign="top" align="center">Hotazel, Northern Cape</td>
<td valign="top" align="center">26&#x00B0; 46&#x2032; S 22&#x00B0; 34 E&#x2032;</td>
</tr>
<tr>
<td valign="top" align="left"><italic>Xerus inauris</italic></td>
<td valign="top" align="center">XI</td>
<td valign="top" align="center">18</td>
<td valign="top" align="center">Fossorial <xref ref-type="table-fn" rid="t2fn1"><sup>1</sup></xref></td>
<td valign="top" align="center">Social<xref ref-type="table-fn" rid="t2fn1"><sup>2</sup></xref></td>
<td valign="top" align="center">Homeothermic<xref ref-type="table-fn" rid="t2fn1"><sup>1</sup></xref></td>
<td valign="top" align="center">Diurnal<xref ref-type="table-fn" rid="t2fn1"><sup>3</sup></xref></td>
<td valign="top" align="center">Claw scratch digger<xref ref-type="table-fn" rid="t2fn1"><sup>3</sup></xref></td>
<td valign="top" align="center">0 cm<xref ref-type="table-fn" rid="t2fn1"><sup>4</sup></xref></td>
<td valign="top" align="center">70 cm<xref ref-type="table-fn" rid="t2fn1"><sup>4</sup></xref></td>
<td valign="top" align="center">S. A. Lombard Nature Reserve, North-West</td>
<td valign="top" align="center">27&#x00B0;35&#x2032; S 25&#x00B0;23&#x2032;E</td>
</tr>
<tr>
<td valign="top" align="left"><italic>Rhabdomys pumilio</italic></td>
<td valign="top" align="center">RP</td>
<td valign="top" align="center">8</td>
<td valign="top" align="center">Terrestrial<xref ref-type="table-fn" rid="t2fn1"><sup>5</sup></xref></td>
<td valign="top" align="center">Social<sup><xref ref-type="table-fn" rid="t2fn1">5</xref>,<xref ref-type="table-fn" rid="t2fn1">6</xref></sup></td>
<td valign="top" align="center">Homeothermic<xref ref-type="table-fn" rid="t2fn1"><sup>7</sup></xref></td>
<td valign="top" align="center">Diurnal<sup><xref ref-type="table-fn" rid="t2fn1">6</xref></sup></td>
<td valign="top" align="center">N/A</td>
<td valign="top" align="center">0 cm<xref ref-type="table-fn" rid="t2fn1"><sup>6</sup></xref></td>
<td valign="top" align="center">0 cm<xref ref-type="table-fn" rid="t2fn1"><sup>6</sup></xref></td>
<td valign="top" align="center">Goegap Nature Reserve, Northern Cape</td>
<td valign="top" align="center">29&#x00B0;41&#x2032;S 18&#x00B0;01&#x2032;E</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="t2fn1"><p><italic>Subterranean rodents construct large and complex burrows and spend most of their lives underground, while fossorial species construct simpler burrows and are more active above ground. <sup>4</sup><xref ref-type="bibr" rid="B30">Herzig-Straschil (1978)</xref>, <sup>3</sup><xref ref-type="bibr" rid="B31">Herzig-Straschil (1979)</xref>, <sup>7</sup><xref ref-type="bibr" rid="B24">Haim and Fourie (1980)</xref>, <sup>1</sup><xref ref-type="bibr" rid="B25">Haim Skinner and Robinson (1987)</xref>, <sup>13</sup><xref ref-type="bibr" rid="B7">Bennett et al. (1988)</xref>,<sup>2</sup> <xref ref-type="bibr" rid="B92">Waterman (1995)</xref>, <sup>9</sup><xref ref-type="bibr" rid="B4">Bennett and Faulkes (2000)</xref>, <sup>16</sup><xref ref-type="bibr" rid="B65">Roper et al. (2001)</xref>, <sup>11</sup><xref ref-type="bibr" rid="B61">Oosthuizen et al. (2003)</xref>, <sup>6</sup><xref ref-type="bibr" rid="B75">Schradin and Pillay (2004)</xref>, <sup>14</sup><xref ref-type="bibr" rid="B28">Hart et al. (2004)</xref>, <sup>5</sup><xref ref-type="bibr" rid="B68">Scantlebury et al. (2006a)</xref>, <sup>8</sup><xref ref-type="bibr" rid="B36">Ivy et al. (2020)</xref>, <sup>12</sup><xref ref-type="bibr" rid="B52">McGowan et al. (2020)</xref>, <sup>10</sup><xref ref-type="bibr" rid="B59">Okrouhl&#x00ED;k et al. (2021)</xref>, <sup>15</sup><xref ref-type="bibr" rid="B62">Oosthuizen et al. (2021)</xref>.</italic></p></fn>
</table-wrap-foot>
</table-wrap>
<p>This overview aimed to highlight various features that drive the existing variation in energetics and water flux within the family Bathyergidae. As DEE, RMR, and SusMS of certain species have been described previously; we focus on inter-specific comparisons and the previously understudied biological parameters of BF, WTO, and WEI. Furthermore, this current study also attempts to compare the well-known patterns of energetics and water flux for aboveground rodents and other small mammals (<xref ref-type="bibr" rid="B67">Scantlebury et al. (2002</xref>, <xref ref-type="bibr" rid="B73">2008)</xref>; <xref ref-type="bibr" rid="B71">Scantlebury and Haim, 2012</xref>) against those found in the African mole-rats. Extensive multi-species analyses of both the energetics and water flux are present for aboveground small mammals (see <xref ref-type="bibr" rid="B58">Nagy et al. (1999)</xref> for an overview of the energetics of terrestrial mammals and <xref ref-type="bibr" rid="B57">Nagy (2004)</xref> for an overview of the water flux of terrestrial mammals). At both the inter- and intra-specific levels, aboveground mammals inhabiting drier (more arid) environments display consistent differences in their energetics and water flux compared to their counterparts in mesic or wetter (less arid) habitats (<xref ref-type="bibr" rid="B58">Nagy et al., 1999</xref>; <xref ref-type="bibr" rid="B57">Nagy, 2004</xref>). These differences include lower RMR, DEE and WEI in mammals inhabiting arider environments than those inhabiting more mesic environments (<xref ref-type="bibr" rid="B77">Speakman, 1997a</xref>; <xref ref-type="bibr" rid="B58">Nagy et al., 1999</xref>; <xref ref-type="bibr" rid="B57">Nagy, 2004</xref>). Even though African mole-rats are exclusively subterranean and thus are buffered from some of the macroclimatic (the region they inhabit broad climate) variations, recent studies have suggested that the macroclimatic differences experienced by different mole-rat species affect their physiology (<xref ref-type="bibr" rid="B84">&#x0160;umbera, 2019</xref>; <xref ref-type="bibr" rid="B52">McGowan et al., 2020</xref>; <xref ref-type="bibr" rid="B91">Wallace et al., 2021</xref>). As such it can be expected that similar trends in the energetic parameters, including RMR, DEE and WEI, between the African mole-rat species may be observed as seen between small aboveground mammals. This would include lower RMR, DEE, and WEI in mole-rats inhabiting arid regions compared to those inhabiting mesic environments (<xref ref-type="bibr" rid="B77">Speakman, 1997a</xref>; <xref ref-type="bibr" rid="B58">Nagy et al., 1999</xref>; <xref ref-type="bibr" rid="B57">Nagy, 2004</xref>). Alternatively, the microclimatic conditions found in African mole-rat burrows (the subterranean niche) may result in contrasting energetic patterns; specifically, all African mole-rats may possess similar energetic parameters regardless of their experienced macroclimate on account of their shared buffered lifestyle and behavioral adaptations (for example, social living). Furthermore, African mole-rats would then be expected to possess lower RMR, and similar WTO and WEI than the aboveground rodents in this study due to living in a buffered microclimate. At the same time, African mole-rats would also be predicted to have higher DEE, SusMS and BF values compared to the aboveground rodents as the result of increased energy expenditure due to digging.</p>
</sec>
<sec id="S2" sec-type="materials|methods">
<title>Materials and Methods</title>
<sec id="S2.SS1">
<title>Novel Data Analysis</title>
<sec id="S2.SS1.SSS1">
<title>Study Site and Animal Capture</title>
<p>A total of 11 Cape dune mole-rats (<italic>B. suillus</italic> &#x2013; &#x2018;BS&#x2019;) were captured with live Hickman traps (<xref ref-type="bibr" rid="B32">Hickman, 1979</xref>) on two separate occasions, August 2003 and June 2007, near the village of Darling (33&#x00B0;22&#x2032;S 15&#x00B0;25&#x2032; E) in the Western Cape, South Africa. The Western Cape region has predictable winter (May-September) rainfall and moderate temperatures throughout the year (<xref ref-type="bibr" rid="B66">Rutherford and Westfall, 1994</xref>). All individuals were captured prior to their respective breeding season (<xref ref-type="bibr" rid="B29">Hart et al., 2006</xref>). Using growth curve data (D. Hart unpublished work), all but one individual was defined as an adult (body mass &#x003E; 350grams). Individuals were not anaesthetized and were handled in cotton bags to minimize stress. Trapping occurred throughout the day; animals were transported to a field laboratory close by (less than 2 km) upon capture. Animals were housed in plastic containers 30 cm in diameter, 50 cm in height, with sawdust as bedding and sweet potatoes provided <italic>ad libitum</italic> as food overnight. On completing the experiments, the animals were returned to their original capture sites. All experimental procedures and animal husbandry practices were approved by the Animal Ethics Committee, University of Pretoria.</p>
</sec>
<sec id="S2.SS1.SSS2">
<title>Daily Energy Expenditure and Water Turnover Measurements in <italic>Bathyergus suillus</italic></title>
<p>The DEEs (kJ d<sup>&#x2013;1</sup>) of 6 Cape dune mole-rats (<italic>B. suillus</italic>) were measured using the DLW technique (<xref ref-type="bibr" rid="B45">Lifson and McClintock, 1966</xref>; <xref ref-type="bibr" rid="B78">Speakman, 1997b</xref>). Upon capture, individuals were taken to a field laboratory, where their RMR values were determined (below). The following morning (c. 09:00), they were weighted (&#x00B1; 0.1 g Sartorius balance), and a 0.2 ml blood sample was obtained from the cephalic vein in a foot to estimate the background isotope enrichments of <sup>2</sup>H and <sup>18</sup>O. Blood samples were immediately heat-sealed into 4 &#x00D7; 50 &#x03BC;L glass capillaries and stored at room temperature. Thereafter, a known mass of DLW (100 g 95% APE enriched <sup>18</sup>O water (Rotem Industries Ltd., Beer Sheva, Israel) and 50g 99.9% APE enriched <sup>2</sup>H water (Isotec, Inc. Miamisburg OH, United States) mixed with 342 g <sup>1</sup>H<sub>2</sub><sup>16</sup>O) was administered (IP, 0.3 g/100 g body mass). Syringes were weighed before and after administration (&#x00B1; 0.0001 g, Sartorius balance) to calculate the mass of DLW injected. Blood samples were taken after 2 h to estimate the initial isotope enrichments, and subsequently, the animals were released at their original capture sites. Animal recaptures (<italic>via</italic> re-setting traps) were attempted between 2 and 5 days post-injection of DLW. Traps were set at approximately 06:30 h on the intended day of recapture in an attempt to capture them before 09.00 hrs so that measurements of isotope turnover would be for whole 24 h periods (<xref ref-type="bibr" rid="B82">Speakman and Racey, 1988</xref>). Six out of the 11 injected individuals were recaptured. These were five adults (two males and three females) and one juvenile. Recaptured animals were weighed, and final blood samples (0.2 ml) were taken. Capillary tubes that contained blood samples were then vacuum distilled (<xref ref-type="bibr" rid="B56">Nagy, 1983</xref>), and water from the resulting distillate was used to produce CO<sub>2</sub> and H<sub>2</sub> (methods in <xref ref-type="bibr" rid="B78">Speakman (1997b)</xref> for CO<sub>2</sub> and <xref ref-type="bibr" rid="B81">Speakman et al. (2004)</xref> for H<sub>2</sub>). The isotope ratios <sup>18</sup>O:<sup>16</sup>O and <sup>2</sup>H:<sup>1</sup>H were then analyzed using gas source isotope ratio mass spectrometry (Optima, Micromass IRMS and Isochrom mG, Manchester, United Kingdom), before calculation of DEE.</p>
</sec>
<sec id="S2.SS1.SSS3">
<title>Resting Metabolic Rate (RMR) Measurements in <italic>Bathyergus suillus</italic></title>
<p>All 11 BS were weighed (&#x00B1; 0.1 g Sartorius balance), and their RMR was measured upon initial capture. An open-circuit respirometry system (<xref ref-type="bibr" rid="B15">Depocas and Hart, 1957</xref>; <xref ref-type="bibr" rid="B33">Hill, 1972</xref>) was used. A metabolic chamber (6912 cm<sup>3</sup>) was immersed in a temperature-controlled water bath (Labotec) and maintained at 28&#x2013;29&#x00B0;C (LAUDA, Konigshofen, Germany) within the thermoneutral zone of the species. Dried air was pumped into the chamber at a rate of approximately 900 ml min<sup>&#x2013;1</sup>. A flow regulator that controlled airflow (F900, Applied Electrochemistry, AEI Technologies, Inc. United States) was placed upstream of the metabolism chamber. Measurements of VO<sub>2</sub> were taken using an oxygen analyzer (S-2A Applied Electrochemistry, AEI Technologies, Inc. United States). The analyzer was calibrated to an upper value (20.95% O<sub>2</sub>) prior to the measurement of each animal and a lower value (0% O<sub>2</sub> in N2 gas, AFROX, South Africa) every two weeks. After an initial hour in which animals were observed to settle in the respirometry chamber, measurements were taken every minute for half an hour. The mean of the lowest ten readings of oxygen consumption (mlO<sub>2</sub>h<sup>&#x2013;1</sup>) was taken when animals were seen to be at rest (<xref ref-type="bibr" rid="B3">Bennett et al., 1992</xref>). Measurements were carried out between 11.00 and 17.00. Results were corrected to standard temperature and pressure.</p>
</sec>
<sec id="S2.SS1.SSS4">
<title>Data Analysis</title>
<p>Sustained metabolic scope (SusMS = DEE/RMR) for each recaptured animal was calculated (<italic>n</italic> = 6) (<xref ref-type="bibr" rid="B16">Drent and Daan, 1980</xref>). The ratio of water efflux (ml/day) relative to energy expenditure (kJ/day), the Water Economy Index (WEI, ml/kJ), was calculated (<xref ref-type="bibr" rid="B57">Nagy, 2004</xref>). Body fat percentage (BF) was calculated using isotope dilution (<xref ref-type="bibr" rid="B72">Scantlebury et al., 2005</xref>). The juvenile BS was excluded from all statistical analyses, but the data are presented for visual comparison with the adult BS. The response variables&#x2019; normality was determined using Shapiro Wilk (S&#x2013;W) tests and residual plots. Homogeneity of all dependent variables was confirmed with a Levene&#x2019;s test. All variables were normally distributed. An two-sample t-test was used to compare the body mass of males and females.</p>
<p>Linear regression lines were fitted to determine the relationship between body mass and DEE, RMR and WTO, respectively, in adult BS. Due to the low sample size of male recaptures, only descriptive analyses were possible for DEE, SusMS, WTO, WEI and BF. The effect of sex on RMR of adult BS was investigated using a linear model (LM) with body mass as a covariate. Linear regression lines were fitted to explore the relationships between body mass and RMR in male and female adult BS. IBM SPSS 28 (IBM Corp., Armonk, NY, United States) was used for all statistical analyses and significance was assumed at <italic>p</italic> &#x2264; 0.05. All data are presented as mean &#x00B1; SE.</p>
</sec>
</sec>
<sec id="S2.SS2">
<title>Multi-Species Analyses</title>
<p>Only studies that possessed both DEE and RMR were included in the analyses. <xref ref-type="table" rid="T1">Table 1</xref> shows the mole-rat species for which raw data were available for analysis. Additionally, raw data for outgroup rodent species were available for this study, namely, the Cape ground squirrel (<italic>Xerus inauris</italic>; <xref ref-type="bibr" rid="B74">Scantlebury et al., 2007</xref>) and four-striped mouse (<italic>Rhabdomys pumilio;</italic> <xref ref-type="bibr" rid="B68">Scantlebury et al., 2006a</xref>). <xref ref-type="table" rid="T2">Table 2</xref> presents the general biological, ecological and behavioral information about each rodent species used in this study. IBM SPSS 28 (IBM Corp., Armonk, NY, United States) was used for all statistical analyses and significance was assumed at <italic>p</italic> &#x2264; 0.05. The normality of the response variables (RMR, DEE, SusMS, WTO, WEI, and BF) was determined using Shapiro Wilk tests (S&#x2013;W) and residual plots. Homogeneity of all dependent variables was confirmed with a Levene&#x2019;s test. All non-normally distributed dependent variables were log-transformed in an attempt to obtain a normal distribution.</p>
<sec id="S2.SS2.SSS1">
<title>Species Comparison</title>
<p>Linear regressions were fitted to examine the relationships between body mass with RMR, DEE and WTO, respectively, for all species combined and each species separately. We used generalized linear models (GLMs), with Gamma log-link distribution, or LMs, to examine differences in body mass, SusMS, WEI, and BF among species. Subsequently, GLMs or LMs, with body mass as a covariate, were used to examine differences in DEE, RMR, and WTO among species. Subsequent <italic>post-hoc</italic> analyses were conducted using LSD using estimated marginal means (EMMs). All data are presented as adjusted means (EMMs) &#x00B1; SE.</p>
</sec>
</sec>
<sec id="S2.SS3">
<title>Environmental Conditions</title>
<p>Climate data were gathered using the methods outlined by <xref ref-type="bibr" rid="B91">Wallace et al. (2021)</xref>. All environmental conditions are presented in <xref ref-type="table" rid="T3">Table 3</xref>. Climate data for each site were retrieved from ERA5-Land of the European Centre for Medium-Range Weather Forecasts-the latest generation created by the Copernicus Climate Change Service (<xref ref-type="bibr" rid="B55">Mu&#x00F1;oz-Sabater et al., 2021</xref>). The spatial (resolution is 0.1&#x00B0; by 0.1&#x00B0;). These data were used to calculate an annual aridity index (AI) (eq. (1)). Whereas total precipitation (tp) was directly obtained from ERA5-Land, potential evapotranspiration (PET) was calculated from the well-known Romanenko estimation (eq. (2)) (<xref ref-type="bibr" rid="B64">Romanenko, 1961</xref>). For eq. (2), relative humidity (RH) was calculated from ERA5-Land d2m (eq. (3)).</p>
<table-wrap position="float" id="T3">
<label>TABLE 3</label>
<caption><p>Variables from ERA5-Land dataset for each site from 1981 to 2020 used for analysis.</p></caption>
<table cellspacing="5" cellpadding="5" frame="hsides" rules="groups">
<thead>
<tr>
<td valign="top" align="left">Climate variable</td>
<td valign="top" align="center">Description</td>
<td valign="top" align="center">Darling</td>
<td valign="top" align="center">Kamieskroon</td>
<td valign="top" align="center">Glengarry</td>
<td valign="top" align="center">Hotazel</td>
<td valign="top" align="center">S.A. Lombard Nature Reserve</td>
<td valign="top" align="center">Goegap</td>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Aridity index (AI)</td>
<td valign="top" align="center">Degree of dryness of the climate at a given location.</td>
<td valign="top" align="center">0.51 &#x00B1; 0.12</td>
<td valign="top" align="center">0.13 &#x00B1; 0.05</td>
<td valign="top" align="center">1.33 &#x00B1; 0.29</td>
<td valign="top" align="center">0.17 &#x00B1; 0.09</td>
<td valign="top" align="center">0.28 &#x00B1; 0.11</td>
<td valign="top" align="center">0.09 &#x00B1; 0.04</td>
</tr>
<tr>
<td valign="top" align="left">2m temperature (T<sub><italic>air</italic></sub>) (&#x00B0;C)</td>
<td valign="top" align="center">Temperature of the air 2m above the soil surface</td>
<td valign="top" align="center">16.8 &#x00B1; 3.52</td>
<td valign="top" align="center">16.8 &#x00B1; 3.91</td>
<td valign="top" align="center">9.86 &#x00B1; 4.24</td>
<td valign="top" align="center">19.8 &#x00B1; 5.50</td>
<td valign="top" align="center">18.5 &#x00B1; 5.00</td>
<td valign="top" align="center">16.9 &#x00B1; 4.39</td>
</tr>
<tr>
<td valign="top" align="left">Soil temperature level 1 (T<sub><italic>S1</italic></sub>) (&#x00B0;C)</td>
<td valign="top" align="center">Temperature of the soil in layer 1 (depth 0 &#x2013; 7cm)</td>
<td valign="top" align="center">19.0 &#x00B1; 5.01</td>
<td valign="top" align="center">20.3 &#x00B1; 5.53</td>
<td valign="top" align="center">10.7 &#x00B1; 5.19</td>
<td valign="top" align="center">22.7 &#x00B1; 6.67</td>
<td valign="top" align="center">20.4 &#x00B1; 5.66</td>
<td valign="top" align="center">21.03 &#x00B1; 6.44</td>
</tr>
<tr>
<td valign="top" align="left">Soil temperature level 2 (T<sub><italic>S2</italic></sub>) (&#x00B0;C)</td>
<td valign="top" align="center">Temperature of the soil in layer 2 (7 &#x2013; 28cm)</td>
<td valign="top" align="center">18.9 &#x00B1; 4.65</td>
<td valign="top" align="center">20.3 &#x00B1; 5.16</td>
<td valign="top" align="center">10.7 &#x00B1; 5.00</td>
<td valign="top" align="center">22.5 &#x00B1; 6.11</td>
<td valign="top" align="center">20.3 &#x00B1; 5.25</td>
<td valign="top" align="center">20.9 &#x00B1; 5.88</td>
</tr>
<tr>
<td valign="top" align="left">Soil temperature level 3 (T<sub><italic>S3</italic></sub>) (&#x00B0;C)</td>
<td valign="top" align="center">Temperature of the soil in layer 3 (28 &#x2013; 100cm)</td>
<td valign="top" align="center">18.6 &#x00B1; 3.65</td>
<td valign="top" align="center">20.2 &#x00B1; 4.08</td>
<td valign="top" align="center">10.7 &#x00B1; 4.08</td>
<td valign="top" align="center">22.4 &#x00B1; 4.68</td>
<td valign="top" align="center">20.3 &#x00B1; 4.20</td>
<td valign="top" align="center">20.9 &#x00B1; 4.59</td>
</tr>
<tr>
<td valign="top" align="left">Total precipitation (tp) (cm)</td>
<td valign="top" align="center">Accumulated liquid and frozen water that falls to the Earth&#x2019;s surface</td>
<td valign="top" align="center">113 &#x00B1; 101</td>
<td valign="top" align="center">578 &#x00B1; 569</td>
<td valign="top" align="center">353 &#x00B1; 285</td>
<td valign="top" align="center">108 &#x00B1; 137</td>
<td valign="top" align="center">151 &#x00B1; 153</td>
<td valign="top" align="center">452 &#x00B1; 481</td>
</tr>
<tr>
<td valign="top" align="left">Volumetric soil moisture content 1 (M<sub><italic>s1</italic></sub>) (m<sup>3</sup> m<sup>&#x2013;3</sup>)</td>
<td valign="top" align="center">Volumetric soil moisture content of the soil in layer 1 (depth 0 &#x2013; 7cm)</td>
<td valign="top" align="center">0.13 &#x00B1; 0.06</td>
<td valign="top" align="center">0.17 &#x00B1; 0.04</td>
<td valign="top" align="center">0.32 &#x00B1; 0.07</td>
<td valign="top" align="center">0.09 &#x00B1; 0.04</td>
<td valign="top" align="center">0.17 &#x00B1; 0.05</td>
<td valign="top" align="center">0.10 &#x00B1; 0.03</td>
</tr>
<tr>
<td valign="top" align="left">Volumetric soil moisture content 2 (M<sub><italic>s2</italic></sub>) (m<sup>3</sup> m<sup>&#x2013;3</sup>)</td>
<td valign="top" align="center">Volumetric soil moisture content of the soil in layer 2 (7 &#x2013; 28cm)</td>
<td valign="top" align="center">0.12 &#x00B1; 0.06</td>
<td valign="top" align="center">0.16 &#x00B1; 0.04</td>
<td valign="top" align="center">0.32 &#x00B1; 0.06</td>
<td valign="top" align="center">0.09 &#x00B1; 0.04</td>
<td valign="top" align="center">0.19 &#x00B1; 0.04</td>
<td valign="top" align="center">0.14 &#x00B1; 0.22</td>
</tr>
<tr>
<td valign="top" align="left">Volumetric soil moisture content 3 (M<sub><italic>s3</italic></sub>) (m<sup>3</sup> m<sup>&#x2013;3</sup>)</td>
<td valign="top" align="center">Volumetric soil moisture content of the soil in layer 3 (28 &#x2013; 100cm)</td>
<td valign="top" align="center">0.10 &#x00B1; 0.04</td>
<td valign="top" align="center">0.14 &#x00B1; 0.01</td>
<td valign="top" align="center">0.33 &#x00B1; 0.05</td>
<td valign="top" align="center">0.08 &#x00B1; 0.03</td>
<td valign="top" align="center">0.17 &#x00B1; 0.02</td>
<td valign="top" align="center">0.14 &#x00B1; 0.005</td>
</tr>
</tbody>
</table></table-wrap>
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<p>Each environmental condition (<xref ref-type="table" rid="T3">Table 3</xref>) was analyzed separately using a GLM, Gamma log-link distribution, and the site as the primary predictor. Subsequent <italic>post-hoc</italic> analyses were conducted using LSD using estimated marginal means (EMMs). All data are presented as mean &#x00B1; SD.</p>
</sec>
</sec>
<sec id="S3" sec-type="results">
<title>Results</title>
<sec id="S3.SS1">
<title>Novel Species Analysis - <italic>Bathyergus suillus</italic></title>
<p>Male <italic>B. suillus</italic>, on average, were 165.2% heavier than female BS (<italic>t</italic> = &#x2212;5.406, <italic>p</italic> = 0.001, <xref ref-type="fig" rid="F1">Figure 1A</xref>). When both sexes were combined, there was a strong effect of body mass on RMR; the linear fitted regression</p>
<fig id="F1" position="float">
<label>FIGURE 1</label>
<caption><p><bold>(A)</bold> Body mass (g), <bold>(B)</bold> daily energy expenditure (DEE- kJ.d<sup>&#x2013; 1</sup>), <bold>(C)</bold> resting metabolic rate (RMR- kJ.d<sup>&#x2013; 1</sup>), <bold>(D)</bold> sustained metabolic scope (SusMS), <bold>(E)</bold> water turnover (WTO- ml.d<sup>&#x2013; 1</sup>), <bold>(F)</bold> water economy index (WEI- ml.kJ<sup>&#x2013; 1</sup>), and <bold>(G)</bold> body fat percent (BF-%) of adult (male and female) and juvenile <italic>Bathyergus suillus</italic> (BS). Data are shown as Adjusted mean (EMMs) &#x00B1; SE. An asterisk indicates significance (<italic>p</italic> &#x2264; 0.05).</p></caption>
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<p>significantly explained the variance (<italic>F</italic> = 16.8, <italic>p</italic> = 0.004, <xref ref-type="fig" rid="F2">Figure 2A</xref>). Likewise, when both sexes were combined, there was a strong effect of body mass on DEE; the linear fitted regression</p>
<fig id="F2" position="float">
<label>FIGURE 2</label>
<caption><p><bold>(A)</bold> Resting metabolic rate (RMR- kJ.d<sup>&#x2013; 1</sup>), <bold>(C)</bold> daily energy expenditure (DEE- kJ.d<sup>&#x2013; 1</sup>) and <bold>(E)</bold> water turn over (WTO- ml.d<sup>&#x2013; 1</sup>) against body mass (g) of adult <italic>Bathyergus suillus</italic> (BS). <bold>(B)</bold> RMR, <bold>(D)</bold> DEE and <bold>(F)</bold> against male and female adult <italic>Bathyergus suillus</italic> (BS) body mass. Solid circles (&#x2022;) and solid squares (&#x25A0;) represent female and male adult <italic>Bathyergus suillus</italic> (BS), respectively.</p></caption>
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<mml:mi>m</mml:mi>
<mml:mi>a</mml:mi>
<mml:mi>s</mml:mi>
<mml:mpadded width="+5pt">
<mml:mi>s</mml:mi>
</mml:mpadded>
<mml:mrow>
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<p>significantly explained the variance (<italic>F</italic> = 61.6, <italic>p</italic> = 0.004, <xref ref-type="fig" rid="F2">Figure 2C</xref>).</p>
<p>Furthermore, when both sexes were combined, there was a strong effect of body mass on WTO; the linear fitted regression</p>
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<mml:mi>l</mml:mi>
<mml:mo>.</mml:mo>
<mml:msup>
<mml:mi>d</mml:mi>
<mml:mrow>
<mml:mo>-</mml:mo>
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</mml:mrow>
</mml:msup>
<mml:mo rspace="5.8pt">)</mml:mo>
</mml:mrow>
<mml:mo rspace="10.8pt">=</mml:mo>
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<p>significantly explained the variance (<italic>F</italic> = 135.2, <italic>p</italic> = 0.001, <xref ref-type="fig" rid="F2">Figure 2E</xref>).</p>
<p>Neither sex (F = 9.78, p = 0.89, <xref ref-type="fig" rid="F1">Figure 1C</xref>) nor body mass (F = 1291.1, p = 0.14) affected RMR. Interestingly, in females there was a strong effect of body mass on RMR;the linear fitted regression</p>
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<mml:mrow>
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</mml:mrow>
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<mml:mo rspace="5.8pt" stretchy="false">)</mml:mo>
</mml:mrow>
<mml:mo rspace="5.8pt">=</mml:mo>
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<mml:mn>0.2026</mml:mn>
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<mml:mi>y</mml:mi>
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<p>significantly explained the variance (<italic>F</italic> = 18.9, <italic>p</italic> = 0.007, <xref ref-type="fig" rid="F2">Figure 2B</xref>). While, body mass did not have a significant effect on RMR in males (<italic>F</italic> = 0.21, <italic>p</italic> = 0.73, <xref ref-type="fig" rid="F2">Figure 2B</xref>) but did possess a negative relationship with RMR (Slope:&#x2212;0.04, <xref ref-type="fig" rid="F2">Figure 2B</xref>).</p>
<p>A similar trend was seen in DEE (<xref ref-type="fig" rid="F1">Figure 1B</xref>) as in RMR, with increased DEE in adult male <italic>B. suillus</italic> compared to adult female <italic>B. suillus</italic>. Likewise, adult male <italic>B. suillus</italic> possess a higher SusMS than adult female <italic>B. suillus</italic> (<xref ref-type="fig" rid="F1">Figure 1D</xref>). Similar values of WEI occurred for both male and female adult <italic>B. suillus</italic> (<xref ref-type="fig" rid="F1">Figure 1F</xref>), while higher WTO was observed in adult male <italic>B. suillus</italic> compared to adult female <italic>B. suillus</italic> (<xref ref-type="fig" rid="F1">Figure 1E</xref>). In addition, both male and female adult <italic>B. suillus</italic> DEE and WTO showed a positive relationship with body mass (<xref ref-type="fig" rid="F2">Figures 2D,F</xref>). Contrastingly, BF of adult female <italic>B. suillus</italic> was higher than adult male <italic>B. suillus</italic> (<xref ref-type="fig" rid="F1">Figure 1G</xref>).</p>
</sec>
<sec id="S3.SS2">
<title>Multi-Species Analysis</title>
<sec id="S3.SS2.SSS1">
<title>Species Comparison</title>
<sec id="S3.SS2.SSS1.Px1">
<title>Body Mass</title>
<p>All species possessed significantly different body masses from each other (<xref ref-type="fig" rid="F3">Figure 3A</xref> and <xref ref-type="supplementary-material" rid="DS1">Supplementary Tables 1</xref>, <xref ref-type="supplementary-material" rid="DS1">2</xref>).</p>
<fig id="F3" position="float">
<label>FIGURE 3</label>
<caption><p><bold>(A)</bold> Body mass (g), <bold>(B)</bold> daily energy expenditure (DEE- kJ.d<sup>&#x2013; 1</sup>), <bold>(C)</bold> resting metabolic rate (RMR- kJ.d<sup>&#x2013; 1</sup>), <bold>(D)</bold> sustained metabolic scope (SusMS), <bold>(E)</bold> water turnover (WTO- ml.d<sup>&#x2013; 1</sup>), <bold>(F)</bold> water economy index (WEI- ml.kJ<sup>&#x2013; 1</sup>), and <bold>(G)</bold> body fat percent (BF- %) of all seven species of rodent featured in this study. BS - <italic>Bathyergus suillus;</italic> BJ: <italic>Bathyergus janetta</italic>; GC - <italic>Georychus capensis</italic>; CHN - <italic>Cryptomys hottentotus natalensis</italic>; FD - <italic>Fukomys damarensis</italic>; XI - <italic>Xerus inauris</italic>; RP - <italic>Rhabdomys pumilio</italic>. Data are shown as adjusted mean(EMMs) &#x00B1; SE.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fevo-10-867350-g003.tif"/>
</fig>
</sec>
<sec id="S3.SS2.SSS1.Px2">
<title>Daily Energy Expenditure</title>
<p>Both species and body mass significantly affected DEE (<xref ref-type="supplementary-material" rid="DS1">Supplementary Table 1</xref>). When all species were combined, there was a strong effect of body mass on DEE; the linear fitted regression</p>
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<mml:mi>d</mml:mi>
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<p>significantly explained the variance (<italic>F</italic> = 1222,0, <italic>p</italic> &#x003C; 0.0001, <xref ref-type="fig" rid="F4">Figure 4A</xref>).</p>
<fig id="F4" position="float">
<label>FIGURE 4</label>
<caption><p>Daily energy expenditure (DEE- kJ.d<sup>&#x2013; 1</sup>) against body mass (g) of <bold>(A)</bold> all seven species of rodent combined and <bold>(B)</bold> all seven species of rodent separated. Resting metabolic rate (RMR- kJ.d<sup>&#x2013; 1</sup>) against body mass <bold>(C)</bold> all seven species of rodent combined and <bold>(E)</bold> all seven species of rodent separated. Water turnover (WTO- ml.d<sup>&#x2013; 1</sup>) against body mass <bold>(D)</bold> all seven species of rodent combined and <bold>(F)</bold> all seven species of rodent separated. BS - <italic>Bathyergus suillus;</italic> BJ: <italic>Bathyergus janetta</italic>; GC - <italic>Georychus capensis</italic>; CHN - <italic>Cryptomys hottentotus natalensis</italic>; FD - <italic>Fukomys damarensis</italic>; XI - <italic>Xerus inauris</italic>; RP - <italic>Rhabdomys pumilio</italic>.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fevo-10-867350-g004.tif"/>
</fig>
<p>All species, but <italic>G. capensis</italic>, had DEE values that were significantly affected by body mass (<xref ref-type="supplementary-material" rid="DS1">Supplementary material</xref><xref ref-type="table" rid="T3">Table 3</xref> and <xref ref-type="fig" rid="F4">Figure 4B</xref>).</p>
<p>Daily energy expenditure differed significantly among species (<xref ref-type="supplementary-material" rid="DS1">Supplementary material</xref>, <xref ref-type="table" rid="T1">Table 1</xref>). <italic>Bathyergus janetta</italic> had significantly higher DEE than all other mole-rat species and <italic>R</italic>. <italic>pumilio</italic> and <italic>X. inauris</italic> (<xref ref-type="fig" rid="F3">Figure 3B</xref> and <xref ref-type="supplementary-material" rid="DS1">Supplementary Table 4</xref>). While <italic>B. suillus</italic> had significantly lower DEE than all mole-rat species, <italic>F. damarensis</italic> had a similar DEE to <italic>B. suillus</italic> (<xref ref-type="fig" rid="F3">Figure 3B</xref> and <xref ref-type="supplementary-material" rid="DS1">Supplementary Table 4</xref>). Furthermore, <italic>B. suillus</italic> possessed a similar DEE to <italic>R. pumilio</italic>, but a lower DEE than <italic>X. inauris</italic> (<xref ref-type="fig" rid="F3">Figure 3B</xref> and <xref ref-type="supplementary-material" rid="DS1">Supplementary Table 4</xref>). <italic>Georychus capensis</italic> possessed the second-highest DEE for the mole-rats species and a similar DEE to <italic>X. inauris</italic> but a lower DEE than <italic>R. pumilio</italic> (<xref ref-type="fig" rid="F3">Figure 3B</xref> and <xref ref-type="supplementary-material" rid="DS1">Supplementary Table 4</xref>). <italic>Cryptomys h. natalensis</italic> and <italic>F. damarensis</italic> possessed similar DEE to one another (<xref ref-type="fig" rid="F3">Figure 3B</xref> and <xref ref-type="supplementary-material" rid="DS1">Supplementary Table 4</xref>). Additionally, <italic>C. h. natalensis</italic> and <italic>F. damarensis</italic> possessed similar DEE to <italic>X. inauris</italic> and <italic>R. pumilio</italic> (<xref ref-type="fig" rid="F3">Figure 3B</xref> and <xref ref-type="supplementary-material" rid="DS1">Supplementary Table 4</xref>). Lastly, <italic>X. inauris</italic> a higher DEE than <italic>R. pumilio</italic> (<xref ref-type="fig" rid="F3">Figure 3B</xref> and <xref ref-type="supplementary-material" rid="DS1">Supplementary Table 4</xref>).</p>
</sec>
<sec id="S3.SS2.SSS1.Px3">
<title>Resting Metabolic Rate</title>
<p>Both species and body mass significantly affected RMR (<xref ref-type="supplementary-material" rid="DS1">Supplementary Table 1</xref>). When all species were combined, there was a strong effect of body mass on RMR; the linear fitted regression</p>
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<mml:mi>d</mml:mi>
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<mml:mi>s</mml:mi>
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<p>significantly explained the variance (<italic>F</italic> = 431.9, <italic>p</italic> &#x003C; 0.0001, <xref ref-type="fig" rid="F4">Figure 4C</xref>).</p>
<p>Body mass significantly affected all species&#x2019; RMR (<xref ref-type="supplementary-material" rid="DS1">Supplementary Table 3</xref> and <xref ref-type="fig" rid="F4">Figure 4D</xref>).</p>
<p>The RMR differed significantly among species (<xref ref-type="supplementary-material" rid="DS1">Supplementary Table 1</xref>). For example, <italic>Xerus inauris</italic> possessed significantly higher RMR values than all mole-rat species and <italic>R. pumilio</italic> (<xref ref-type="fig" rid="F3">Figure 3C</xref> and <xref ref-type="supplementary-material" rid="DS1">Supplementary Table 4</xref>). Contrastingly, <italic>R. pumilio</italic> possessed a similar RMR to all mole-rat species (<xref ref-type="fig" rid="F3">Figure 3C</xref> and <xref ref-type="supplementary-material" rid="DS1">Supplementary Table 4</xref>). Similarly, <italic>B. suillus</italic> possessed similar RMR to all other mole-rats species (<xref ref-type="fig" rid="F3">Figure 3C</xref> and <xref ref-type="supplementary-material" rid="DS1">Supplementary Table 4</xref>). Likewise, <italic>B. janetta</italic> possessed a similar RMR to all other mole-rats species, but <italic>F. damarensis</italic> possessed a lower RMR to <italic>B. janetta</italic> (<xref ref-type="fig" rid="F3">Figure 3C</xref> and <xref ref-type="supplementary-material" rid="DS1">Supplementary Table 4</xref>). <italic>Fukomys damarensis</italic> also possessed a lower RMR than <italic>C. h. natalensis</italic> but a similar RMR to <italic>G. capensis</italic> (<xref ref-type="fig" rid="F3">Figure 3C</xref> and <xref ref-type="supplementary-material" rid="DS1">Supplementary Table 4</xref>). <italic>Georychus capensis</italic> possessed a lower RMR than <italic>C. h. natalensis</italic> (<xref ref-type="fig" rid="F3">Figure 3C</xref> and <xref ref-type="supplementary-material" rid="DS1">Supplementary Table 4</xref>).</p>
</sec>
<sec id="S3.SS2.SSS1.Px4">
<title>Sustained Metabolic Scope</title>
<p>Sustained metabolic scope differed significantly among species (<xref ref-type="supplementary-material" rid="DS1">Supplementary Table 1</xref>). All solitary mole-rat species, namely <italic>B. suillus</italic>, <italic>B. janetta</italic> and <italic>G. capensis</italic>, possessed similar SusMS values (<xref ref-type="fig" rid="F3">Figure 3D</xref> and <xref ref-type="supplementary-material" rid="DS1">Supplementary Table 2</xref>). All solitary mole-rat species had SusMS values that were significantly higher than the social mole-rat species, namely <italic>C. h. natalensis</italic> and <italic>F. damarensis</italic>, and the two aboveground rodent species (<xref ref-type="fig" rid="F3">Figure 3D</xref> and <xref ref-type="supplementary-material" rid="DS1">Supplementary Table 2</xref>). However, the social mole-rat species were found to be significantly different from one another, with <italic>F. damarensis</italic> possessing a higher SusMS than <italic>C. h. natalensis</italic> (<xref ref-type="fig" rid="F3">Figure 3D</xref> and <xref ref-type="supplementary-material" rid="DS1">Supplementary Table 2</xref>). Likewise, <italic>F. damarensis</italic> possessed significantly higher SusMS than <italic>X. inauris</italic>, but similar SusMS to <italic>R. pumilio</italic> (<xref ref-type="fig" rid="F3">Figure 3D</xref> and <xref ref-type="supplementary-material" rid="DS1">Supplementary Table 2</xref>). In contrast, <italic>C. h. natalensis</italic> shared a similar SusMS to both <italic>X. inauris</italic> and <italic>R. pumilio</italic> (<xref ref-type="fig" rid="F3">Figure 3D</xref> and <xref ref-type="supplementary-material" rid="DS1">Supplementary Table 2</xref>).</p>
</sec>
<sec id="S3.SS2.SSS1.Px5">
<title>Water Turn Over</title>
<p>Both species and body mass significantly affected WTO (<xref ref-type="supplementary-material" rid="DS1">Supplementary Table 1</xref>). When all species were combined, there was a strong effect of body mass on WTO; the linear fitted regression</p>
<disp-formula id="S3.Ex7">
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<mml:mi>l</mml:mi>
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<mml:msup>
<mml:mi>d</mml:mi>
<mml:mrow>
<mml:mo>-</mml:mo>
<mml:mn>1</mml:mn>
</mml:mrow>
</mml:msup>
<mml:mo rspace="5.8pt">)</mml:mo>
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<mml:mo rspace="5.8pt">=</mml:mo>
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<p>significantly explained the variance (<italic>F</italic> = 124.3, <italic>p</italic> &#x003C; 0.0001, <xref ref-type="fig" rid="F4">Figure 4E</xref>).</p>
<p>All solitary mole-rat species, namely <italic>B. suillus</italic>, <italic>B. janetta</italic> and <italic>G. capensis</italic>, had WTO values that were not significantly related to body mass (<xref ref-type="supplementary-material" rid="DS1">Supplementary Table</xref> and <xref ref-type="fig" rid="F4">Figure 4F</xref>). Similarly, <italic>R. pumilio</italic> WTO was unaffected by body mass (<xref ref-type="supplementary-material" rid="DS1">Supplementary Table 5</xref> and <xref ref-type="fig" rid="F4">Figure 4F</xref>). The social mole-rat species, namely <italic>C. h. natalensis</italic> and <italic>F. damarensis</italic>, and <italic>X. inauris</italic> WTO were significantly affected by body mass (<xref ref-type="supplementary-material" rid="DS1">Supplementary Table 5</xref> and <xref ref-type="fig" rid="F4">Figure 4F</xref>).</p>
<p>Water turnover differed significantly among species (<xref ref-type="supplementary-material" rid="DS1">Supplementary Table 1</xref>). <italic>Bathyergus janetta</italic> possessed a significantly higher WTO in comparison to all other African mole-rat species and the two aboveground rodent species (<xref ref-type="fig" rid="F3">Figure 3E</xref> and <xref ref-type="supplementary-material" rid="DS1">Supplementary Table 6</xref>). <italic>Fukomys damarensis</italic> possessed the second-highest WTO, with <italic>F. damarensis</italic> possessing significantly higher WTO in comparison to the two aboveground rodent species and all other African mole-rats species but <italic>B. suillus</italic> (<xref ref-type="fig" rid="F3">Figure 3E</xref> and <xref ref-type="supplementary-material" rid="DS1">Supplementary Table 6</xref>). Additionally, <italic>G. capensis</italic>, <italic>C. h. natalensis</italic> and <italic>B. suillus</italic> possessed similar WTO species (<xref ref-type="fig" rid="F3">Figure 3E</xref> and <xref ref-type="supplementary-material" rid="DS1">Supplementary Table 6</xref>). At the same time, <italic>R. pumilio</italic> possessed significantly lower WTO values in comparison to all species except <italic>B. suillus</italic> species (<xref ref-type="fig" rid="F3">Figure 3E</xref> and <xref ref-type="supplementary-material" rid="DS1">Supplementary Table 6</xref>). Lastly, <italic>X. inauris</italic> possessed similar WTO values to <italic>C. h. natalensis</italic> and <italic>G. capensis</italic> species (<xref ref-type="fig" rid="F3">Figure 3E</xref> and <xref ref-type="supplementary-material" rid="DS1">Supplementary Table 6</xref>).</p>
</sec>
<sec id="S3.SS2.SSS1.Px6">
<title>Water Economy Index</title>
<p>Water economy index differed significantly among species (<xref ref-type="supplementary-material" rid="DS1">Supplementary material</xref><xref ref-type="table" rid="T1">Table 1</xref>). <italic>Fukomys damarensis</italic> possessed the highest WEI of all species (<xref ref-type="fig" rid="F3">Figure 3F</xref> and <xref ref-type="supplementary-material" rid="DS1">Supplementary Table 6</xref>). Alternatively, <italic>X. inauris</italic> possessed the lowest WEI of all species, besides <italic>R. pumilio</italic>, which possessed a similar WEI (<xref ref-type="fig" rid="F3">Figure 3F</xref> and <xref ref-type="supplementary-material" rid="DS1">Supplementary Table 6</xref>). <italic>Bathyergus janetta</italic> possessed higher WEI than <italic>G. capensis</italic> and <italic>R. pumilio</italic>, but similar WEI to <italic>B. suillus</italic> and <italic>C. h. natalensis</italic> (<xref ref-type="fig" rid="F3">Figure 3F</xref> and <xref ref-type="supplementary-material" rid="DS1">Supplementary Table 6</xref>). <italic>Georychus capensis</italic>, <italic>C. h. natalensis</italic> and <italic>B. suillus</italic> possessed similar WEI (<xref ref-type="fig" rid="F3">Figure 3F</xref> and <xref ref-type="supplementary-material" rid="DS1">Supplementary Table 6</xref>). Both <italic>G. capensis</italic> and <italic>B. suillus</italic> possessed similar WEI to <italic>R. pumilio</italic>; however, <italic>C. h. natalensis</italic> possessed a higher WEI than <italic>R. pumilio</italic> (<xref ref-type="fig" rid="F3">Figure 3F</xref> and <xref ref-type="supplementary-material" rid="DS1">Supplementary Table 4</xref>).</p>
</sec>
<sec id="S3.SS2.SSS1.Px7">
<title>Body Fat Percent</title>
<p>The terrestrial rodent species, <italic>R. pumilio</italic>, possessed similar BF to all other species (<xref ref-type="supplementary-material" rid="DS1">Supplementary Tables 1</xref>, <xref ref-type="supplementary-material" rid="DS1">7</xref> and <xref ref-type="fig" rid="F4">Figure 4E</xref>). <italic>Bathyergus janetta</italic> possessed a significantly lower BF when compared to the other African mole-rat species and <italic>X. inauris</italic> (<xref ref-type="supplementary-material" rid="DS1">Supplementary Table 7</xref> and <xref ref-type="fig" rid="F4">Figure 4E</xref>). The solitary <italic>B. suillus</italic> possessed similar BF to the other African mole-rat species and <italic>X. inauris</italic> (<xref ref-type="supplementary-material" rid="DS1">Supplementary Table 7</xref> and <xref ref-type="fig" rid="F4">Figure 4E</xref>). In contrast, <italic>G. capensis</italic> possessed higher BF than the social African mole-rat species and <italic>X. inauris</italic> (<xref ref-type="supplementary-material" rid="DS1">Supplementary Table 7</xref> and <xref ref-type="fig" rid="F4">Figure 4E</xref>). <italic>Cryptomys h. natalensis</italic> and <italic>F. damarensis</italic> possessed similar BF to one another and <italic>X. inauris</italic> (<xref ref-type="supplementary-material" rid="DS1">Supplementary Table 7</xref> and <xref ref-type="fig" rid="F4">Figure 4E</xref>).</p>
</sec>
</sec>
<sec id="S3.SS2.SSS2">
<title>Environmental Conditions</title>
<p>Environmental conditions are presented in <xref ref-type="table" rid="T3">Table 3</xref>. The sites exhibited significant differences in environmental conditions (&#x03C7;<sup>2</sup>&#x2265; 32.2, <italic>p</italic> &#x2264; 0.0001). The locations of Darling and Glengarry share similar aridity indices (&#x2018;AIs&#x2019;) (<xref ref-type="table" rid="T3">Table 3</xref> and <xref ref-type="supplementary-material" rid="DS1">Supplementary Table 8</xref>). Individuals from both Darling and Glengarry possessed significantly higher AIs than mole-rats from all other sites (<xref ref-type="table" rid="T3">Table 3</xref> and <xref ref-type="supplementary-material" rid="DS1">Supplementary Table 8</xref>). Individuals from Goegap possessed a similar AI to Hotazel and Kamieskroon, but a lower AI to S.A. Lombard Nature Reserve (<xref ref-type="table" rid="T3">Table 3</xref> and <xref ref-type="supplementary-material" rid="DS1">Supplementary Table 8</xref>). Hotazel and Kamieskroon possessed similar AIs, but both these sites had a lower AI than S. A. Lombard Nature Reserve (<xref ref-type="table" rid="T3">Table 3</xref> and <xref ref-type="supplementary-material" rid="DS1">Supplementary Tables 7</xref>, <xref ref-type="supplementary-material" rid="DS1">8</xref>). Air temperature (T<sub><italic>air</italic></sub>) was similar between Darling, Goegap and Kamieskroon but different at all other sites (<xref ref-type="table" rid="T3">Table 3</xref> and <xref ref-type="supplementary-material" rid="DS1">Supplementary Table 9</xref>). Soil temperatures (T<italic><sub><italic>s1</italic></sub></italic>, T<italic><sub><italic>s2</italic></sub></italic> and T<italic><sub><italic>s3</italic></sub></italic>) showed a similar pattern with S. A. Lombard Nature Reserve, Goegap and Kamieskroon being similar, while all other sites were significantly different from one another (<xref ref-type="table" rid="T3">Table 3</xref> and <xref ref-type="supplementary-material" rid="DS1">Supplementary Tables 9</xref>, <xref ref-type="supplementary-material" rid="DS1">10</xref>). Darling and Goegap possessed similar total precipitations (tp), while, Goegap and Kamieskroon possessed similar tps (<xref ref-type="table" rid="T3">Table 3</xref> and <xref ref-type="supplementary-material" rid="DS1">Supplementary Table 11</xref>). All other sites possessed tps which were significantly different from one another (<xref ref-type="table" rid="T3">Table 3</xref> and <xref ref-type="supplementary-material" rid="DS1">Supplementary Table 11</xref>). Soil moistures (M<sub><italic>s1</italic></sub>, M<sub><italic>s2</italic></sub> and M<sub><italic>s3</italic></sub>) were significantly different among all sites, respectively, apart from S. A. Lombard Nature Reserve and Kamieskroon, which were found to have similar M<sub><italic>s1</italic></sub>, and Kamieskroon and Goegap had similar M<sub><italic>s3</italic></sub> (<xref ref-type="table" rid="T3">Table 3</xref> and <xref ref-type="supplementary-material" rid="DS1">Supplementary Tables 11</xref>, <xref ref-type="supplementary-material" rid="DS1">12</xref>).</p>
</sec>
</sec>
</sec>
<sec id="S4" sec-type="discussion">
<title>Discussion</title>
<sec id="S4.SS1">
<title>Daily Energy Expenditure</title>
<p><xref ref-type="bibr" rid="B77">Speakman (1997a)</xref> suggested that field metabolic rate (FMR), the DEE of animals in the wild or &#x201C;field&#x201D;, is affected by environmental conditions. For example ambient temperature affects DEE with the trend of animals inhabiting a cooler climate (a characteristic of a mesic environment) possessing a higher FMR to animals that persist in hotter climates (a characteristic of an arid environment). A similar pattern found in other desert-dwelling vertebrates (see <xref ref-type="bibr" rid="B58">Nagy et al. (1999)</xref> for review). However, a contrasting pattern was observed within the African mole-rat family, particularly in the solitary genus <italic>Bathyergus</italic>. <italic>Bathyergus janetta</italic>, which inhabits an arid and hot region of South Africa, possessed a greater DEE than its mesic-dwelling cousin, <italic>B. suillus</italic>. Indeed, <italic>B. janetta</italic> possessed the highest DEE compared to other arid dwelling mole-rat species, including <italic>F. damarensis</italic>, and arid dwelling aboveground species, namely <italic>X. inauris</italic> and <italic>R. pumilio.</italic> African mole-rats need to forage for geophytes through the energetically expensive method of digging (<xref ref-type="bibr" rid="B90">Vleck, 1979</xref>), which becomes energetically more expensive the drier the soils become (<xref ref-type="bibr" rid="B48">Lovegrove, 1989</xref>). It would, therefore, be expected that the arid-dwelling species, such as <italic>B. janetta</italic> and <italic>F. damarensis</italic>, would possess the highest DEE. Our results suggest that <italic>B. janetta</italic> follows this expected trend, but the social <italic>F. damarensis</italic> does not, as <italic>F. damarensis</italic> appears to possess similar DEE to the mesic dwelling solitar<italic>y B. suillus</italic> and the social <italic>C. h. natalensis.</italic> As proposed by the aridity food distribution hypothesis (<xref ref-type="bibr" rid="B38">Jarvis et al., 1994</xref>), the evolution of social living may negate or ameliorate the need for increased physiological adaptations to an arid environment (<xref ref-type="bibr" rid="B68">Scantlebury et al., 2006a</xref>,<xref ref-type="bibr" rid="B73">2008</xref>). In species that form large groups, such as <italic>F. damarensis</italic>, animals will not have to expend as much energy daily, even in arid environments, as the increased group size allows for the efficient locating and retrieval of food. Group-living allows for such substantial reduction of DEE in <italic>F. damarensis</italic> that their DEE is similar to aboveground rodent species, both <italic>X. inauris</italic> and <italic>R. pumilio</italic>, who do not need to dig to forage and thus should possess a lower DEE. The benefit of group living is absent in the arid dwelling (solitary) <italic>B. janetta</italic>, in an increased DEE to allow them to locate and retrieve the supply of sufficient resources. By comparison, even though <italic>B. suillus</italic> lives solitarily, it exists in much softer soils and with access to a more abundant food resources, resulting in less energy being spent daily foraging (<xref ref-type="bibr" rid="B4">Bennett and Faulkes, 2000</xref>).</p>
<p>Both <xref ref-type="bibr" rid="B77">Speakman (1997a)</xref> and <xref ref-type="bibr" rid="B58">Nagy et al. (1999)</xref> revealed a strong correlations between body mass and DEE. As expected, in this study, body mass played a significant role in predicting an animal&#x2019;s DEE, with larger animals expending more energy per day when performing their natural behaviors compared to smaller animals. Interestingly, <italic>G. capensis</italic> was the only species not to show a significant relationship with body mass. Unlike <italic>G. capensis</italic>, both <italic>B. janetta</italic> (<xref ref-type="bibr" rid="B70">Scantlebury et al., 2006b</xref>) and <italic>B. suillus</italic> (this study) exhibit sexual dimorphism in body mass that leads to sexual dimorphism in DEE, lending added support to the body-maintenance hypothesis for sexual dimorphism (see <xref ref-type="bibr" rid="B40">Key and Ross (1999)</xref>). The lack of sexual dimorphism in <italic>G. capensis</italic> may be the leading cause for the absence of association between body mass and DEE, as even though equal numbers of males and females were captured, they were all adults (<xref ref-type="bibr" rid="B6">Bennett et al., 1991</xref>) and thus, all individuals were of similar mass resulting in no effect of body mass on DEE (<xref ref-type="bibr" rid="B70">Scantlebury et al., 2006b</xref>). We would expect that if smaller <italic>G. capensis</italic> were captured and compared with larger individuals, an effect of body mass would be seen.</p>
</sec>
<sec id="S4.SS2">
<title>Resting Metabolic Rate</title>
<p>It has long been thought that with increasing aridity (decreasing A.I.), there is an adaptive advantage for a lower RMR (<xref ref-type="bibr" rid="B23">Haim, 1987</xref>; <xref ref-type="bibr" rid="B25">Haim Skinner and Robinson, 1987</xref>; <xref ref-type="bibr" rid="B88">Tieleman et al., 2003</xref>; <xref ref-type="bibr" rid="B93">Williams et al., 2004</xref>; <xref ref-type="bibr" rid="B89">Van Sant et al., 2012</xref>; <xref ref-type="bibr" rid="B41">Kl&#x00FC;g-Baerwald and Brigham, 2017</xref>), as the adaptive value of reduced metabolic rates in more arid dwelling animals is thought to be related to increased water and energy savings under low and unpredictable resource availability (<xref ref-type="bibr" rid="B49">Lovegrove, 2000</xref>; <xref ref-type="bibr" rid="B88">Tieleman et al., 2003</xref>). Along this line of thinking, the arid dwelling mole-rat species (<italic>F. damarensis, B. janetta</italic>) are predicted to possess lower RMR than the mesic dwelling species (<italic>G. capensis; B. suillus, C. h. natalensis</italic>). Alternatively, African mole-rat are known to possess low RMRs in response to inhabiting an environment where they are exposed to hypercapnic and hypoxic conditions, whereby their low RMRs allows an equilibrium to be established between the partial pressures of oxygen and carbon dioxide in their blood and tissues, and in their external environment (<xref ref-type="bibr" rid="B1">Ar et al., 1977</xref>; <xref ref-type="bibr" rid="B47">Lovegrove, 1986</xref>; <xref ref-type="bibr" rid="B36">Ivy et al., 2020</xref>; <xref ref-type="bibr" rid="B91">Wallace et al., 2021</xref>). If this hypothesis were true, we would expect the aboveground foraging species, namely <italic>X. inauris</italic> and <italic>R. pumilio</italic>, and African mole-rat species with poor hypoxia tolerance, indicating that they are not routinely exposed to hypoxia in their burrow system, namely <italic>B. suillus</italic> (see <xref ref-type="bibr" rid="B46">Logan et al. (2020)</xref> for review), to possess the highest RMR. Nevertheless, both these predictions were not supported in this study. In this study, most mole-rat species possessed similar RMRs to one another. While the less hypoxic-tolerant African mole-rat species, <italic>B. suillus</italic>, possessed a similar RMR to both other solitary (<italic>G. capensis</italic>) and social (<italic>F. damarensis</italic>) mole-rat species. Therefore, other explanations, such as physiological and behavioral thermoregulatory strategies (<xref ref-type="bibr" rid="B54">Mota-Rojas et al., 2021</xref>), may be driving the pattern of RMR seen within these rodent species (see <xref ref-type="bibr" rid="B79">Speakman (1999)</xref> for review).</p>
<p>As with DEE, body mass seems to be the primary factor determining RMR in the current set of rodents, rather than the behavior or the micro- or macro-habitat of the animal. This conclusion is clearly evident by the strong relationship between RMR and body mass overall and within species.</p>
</sec>
<sec id="S4.SS3">
<title>Sustained Metabolic Scope</title>
<p>It has long been hypothesized that vertebrates that inhabit arid regions would work less (SusMS) than those inhabitating mesic regions to reduce energy expenditure and increase water and energy savings under low and unpredictable resource availability (<xref ref-type="bibr" rid="B88">Tieleman et al., 2003</xref>). However, as with DEE, the African mole-rat family does not follow this trend. Even though beneficial in some circumstances, an exclusively subterranean lifestyle imposes extremely high energetic demands on the animals inhabiting these ecotopes (<xref ref-type="bibr" rid="B90">Vleck, 1979</xref>). These energetic digging demands become greater as soils become drier and thus harder (<xref ref-type="bibr" rid="B48">Lovegrove, 1989</xref>). These demands are one of the fundamental suggested pressures that have resulted in some African mole-rat species evolving group-living that leads to them sharing the workload amongst group members; this sharing is especially important in more arid environments as posited by the aridity food distribution hypothesis (<xref ref-type="bibr" rid="B38">Jarvis et al., 1994</xref>; <xref ref-type="bibr" rid="B42">Lacey and Sherman, 1997</xref>).</p>
<p>The current analysis suggests that the aridity food distribution hypothesis proposes selective pressures for group living in African mole-rats (<xref ref-type="bibr" rid="B38">Jarvis et al., 1994</xref>; <xref ref-type="bibr" rid="B42">Lacey and Sherman, 1997</xref>). Regardless of environmental conditions and digging method, all solitary mole-rat species possessed equally high SusMS compared to individuals of a colony-forming subterranean species (<italic>C. h. natalensis</italic>; <italic>F. damarensis</italic>) and fossorial and terrestrial group-living species (<italic>X. inauris</italic>; <italic>R. pumilio</italic>). This finding suggests that if an animal is solely responsible for underground foraging and burrow construction, whether the animal is digging in an arid (<italic>B. janetta</italic>) or mesic (<italic>G. capensis</italic>; <italic>B. suillus</italic>) environment, or with teeth (<italic>G. capensis</italic>), or a combination of teeth and forelimbs (<italic>B. suillus</italic>; <italic>B. janetta</italic>), they will be working harder than animals that live in groups in similar environments and/or use similar digging methods. For example, <italic>F. damarensis</italic> and <italic>B. janetta</italic> inhabit similar climatic conditions (see <xref ref-type="table" rid="T3">Table 3</xref>), but <italic>F. damarensis</italic> lives in large groups and thus possesses a lower SusMS.</p>
<p>Group living, however, does not mitigate all pressures placed upon subterranean animals by their environment. Group living mole-rat species that inhabit arid areas, namely <italic>F. damarensis</italic>, with drier soils still possess a higher SusMS than those group-living species living in mesic conditions, namely <italic>C. h. natalensis</italic>. <xref ref-type="bibr" rid="B48">Lovegrove (1989)</xref> observed that animals digging in moist soils use less energy than those digging in drier soils. As expected, the outgroup species, <italic>X. inauris</italic> and <italic>R. pumilio</italic>, that foraged aboveground (<xref ref-type="table" rid="T3">Table 3</xref>) possessed some of the lowest SusMS as predicted by <xref ref-type="bibr" rid="B90">Vleck (1979)</xref>. Interestingly, <italic>C. h. natalensis</italic>, under the added benefits of group living and inhabiting a mesic environment, possessed equally low SusMS to the above ground-foragers, indicating that group living in a mesic environment could overcome the energetic demands of a subterranean lifestyle. The aridity food distribution hypothesis is often contested as several species of the genus <italic>Fukomys</italic> and <italic>Cryptomys</italic> species are found in mesic conditions (<xref ref-type="bibr" rid="B4">Bennett and Faulkes, 2000</xref>). These mesic conditions are predicted to be a driving force in selecting a solitary lifestyle, yet, some species still persist as group-forming mole-rat species. Using the patterns investigated in this current study, we hypothesize that the ancestors of mesic-dwelling mole-rat species may have been arid-dwelling social species that moved into a mesic environment and since there is an energetic benefit to remaining as group-forming species, as indicated by the similar SusMS to above ground-foragers, they retained a social lifestyle.</p>
</sec>
<sec id="S4.SS4">
<title>Water Turnover and Water Economy Index</title>
<p>Surprisingly, all studies using DLW techniques on African mole-rats have not investigated WTO or WEI. As a family, the African mole-rats occupy a range of environmental conditions, from hyper humid to hyper-arid, and as eutherian mammals, one would expect a trend in WEI ratios as seen in <xref ref-type="bibr" rid="B57">Nagy (2004)</xref>. <xref ref-type="bibr" rid="B57">Nagy (2004)</xref> observed that eutherian mammals that occupy arid regions require less water per day (WTO) to achieve a water balance compared to their mesic dwelling relatives. Once <xref ref-type="bibr" rid="B57">Nagy (2004)</xref> adjusted for their metabolic rates (i.e., the WEI ratio), which is often lower in arid dwelling mammals (<xref ref-type="bibr" rid="B58">Nagy et al., 1999</xref>), arid-dwelling eutherians had significantly lower WEI compared to non-arid dwelling species. One might interpret this finding as arid-dwelling mammals using less water to perform their daily behaviors, which is expected as arid environments are water restricted. Reduced metabolism and physiological (lower evaporation, increased water retaining abilities of kidneys) or behavioral (less time spent actively above ground, being relatively more nocturnal) adaptations may be responsible for the reduction in WEI ratios of <xref ref-type="bibr" rid="B57">Nagy&#x2019;s (2004)</xref> above ground eutherian mammals.</p>
<p>African mole-rats do not share this pattern as the more arid dwelling species possessed higher WEI than the more mesic dwelling species. A more surprising fact is that African mole-rats do not drink freestanding water but obtain all water requirements from underground geophytes, which become more dispersed in arid regions (<xref ref-type="bibr" rid="B2">Bennett et al., 1994</xref>; <xref ref-type="bibr" rid="B5">Bennett and Jarvis, 1995</xref>; <xref ref-type="bibr" rid="B83">Spinks et al., 1999</xref>; <xref ref-type="bibr" rid="B51">Malherbe et al., 2003</xref>). African mole-rats need to forage for geophytes through the energetically expensive method of digging (<xref ref-type="bibr" rid="B90">Vleck, 1979</xref>), which becomes energetically more expensive the drier the soils become (<xref ref-type="bibr" rid="B48">Lovegrove, 1989</xref>). It would, therefore, be expected that arid-dwelling species, such as <italic>F. damarensis</italic>, would require a lower WEI to survive their water restricted environment as water is less available and therefore they would need to conserve water the best they could. Yet, in this study, we see that <italic>F. damarensis</italic> possesses the highest WEI ratio of all species tested. The decreases in water availability and aridity seem to drive the WEI ratio higher in subterranean mole-rat species.</p>
<p>Several reasons for this surprising reversal in pattern could be at play. Physiological differences between arid-dwelling small mammals and mesic-dwelling small mammals that allow arid-dwelling small mammals to survive and thrive in an arid environment, such as lower RMR, body temperature and rates of evaporative water loss (<xref ref-type="bibr" rid="B23">Haim, 1987</xref>; <xref ref-type="bibr" rid="B25">Haim Skinner and Robinson, 1987</xref>; <xref ref-type="bibr" rid="B88">Tieleman et al., 2003</xref>; <xref ref-type="bibr" rid="B93">Williams et al., 2004</xref>; <xref ref-type="bibr" rid="B89">Van Sant et al., 2012</xref>; <xref ref-type="bibr" rid="B41">Kl&#x00FC;g-Baerwald and Brigham, 2017</xref>), have been lost in African mole-rats species due to the shared constraints of their microclimate (burrow system) (<xref ref-type="bibr" rid="B91">Wallace et al., 2021</xref>). This hypothesis is supported by similar high water turnover rates in the arid dwelling subterranean species of <italic>Spalax ehrenbergi</italic> and <italic>Thomomys bottae</italic> (<xref ref-type="bibr" rid="B22">Gettinger, 1984</xref>; <xref ref-type="bibr" rid="B94">Yahav et al., 1989</xref>).</p>
<p>Furthermore, as proposed by the aridity food distribution hypothesis, the evolution of social living may negate the need for physiological adaptations to an arid environment (<xref ref-type="bibr" rid="B38">Jarvis et al., 1994</xref>). In species that form large groups, such as <italic>F. damarensis</italic>, animals can increase WEI as water is not a limited resource as the increased group size allows for the efficient locating and retrieval of food and water (behavioral osmoregulation). To date, no comprehensive multi-species study has been conducted on African mole-rats osmoregulatory abilities; however, anecdotal evidence has pointed to no differences in urine concentrating abilities of kidneys in different mole-rats species from different environments, again pointing toward behavioral osmoregulation to allow for the survival of social mole-rats in arid environments (M. van Dyk and D.W. Hart unpublish data).</p>
<p>However, this evidence begs the question of how <italic>B. janetta</italic>, possessing the second-highest WEI value, persists in their arid environment, while possessing a similar WEI to their mesic-dwelling cousin <italic>B. suillus</italic>, is not group living. On a recent research field trip (2021), a noticeable reduction in the <italic>B. janetta</italic> population in the areas of succulent Karoo (Kamieskroon, Garies and Groenrivier) was observed by one of the authors who have been working on <italic>B. janetta</italic> for the last 30 years (N.C. Bennett per comm). It is believed that due to the effects of climate change, which has seen the areas of Kamieskroon and Garies regions in the Northern Cape area receive below-average rainfall and increased temperatures resulting in desertification (increased aridity) (see <xref ref-type="supplementary-material" rid="DS1">Supplementary Figure 1</xref>), in combination with poor water retention abilities of solitary African mole-rats species, this has driven this population decline. Even though lacking behavioral osmoregulatory benefits of social living, the solitary African mole-rats that inhabit mesic areas (<italic>G. capensis</italic>; <italic>B. suillus</italic>) still have fewer water demands placed on them as food is more abundant and equally dispersed in the softer and wetter soils of their environment. At the same time, <italic>C. h. natalensis</italic> possesses similar WEI to the solitary mole-rat species due to living in a hyper-mesic environment (<xref ref-type="bibr" rid="B13">Colantoni et al., 2015</xref>).</p>
</sec>
<sec id="S4.SS5">
<title>Percent Body Fat, Body Fat Composition</title>
<p>Body fat composition (BF) of an animal can be linked to its resource availability and amount of work (DEE and SuSMS) it does. Thus, animals which inhabitat arid regions are often expected to possess lower body conditions, including lower BF. Once again, the African mole-rat family does not fit that trend. Only one study (before the current study) on African mole-rats using the DLW technique has reported BF. <xref ref-type="bibr" rid="B69">Scantlebury et al. (2006c)</xref>, using BF, discovered distinct physiological castes in a social mammal, <italic>F. damarensis</italic>, which solidified the concept that <italic>F. damarensis</italic> could be classed as a eusocial organism with similar traits to bees and termites. <xref ref-type="bibr" rid="B69">Scantlebury et al. (2006c)</xref> showed that infrequent workers in an <italic>F. damarensis</italic> colony also possess higher BF than frequent workers (particularly in the dry season), which suggested that infrequent workers constitute a physiologically distinct dispersing caste who contribute less to cooperative behaviors in the colony and focus more on building up their body reserves in preparation for dispersal and reproduction when environmental conditions are suitable.</p>
<p>In the current study, all social mole-rat species (<italic>C. h. natalensis</italic>; <italic>F. damarensis</italic>) and aboveground foragers (<italic>R. pumilio</italic>; <italic>X. inauris</italic>) possessed similar BF to one another. It should be noted that within this current study, all physiological castes, namely breeding individuals, and infrequent and frequent workers, were combined. The Cape mole-rat, <italic>G. capensis</italic> possessed the highest BF of all African mole-rat investigated a surprising find considering <italic>G. capensis</italic> is a solitary species and needs to forage (indicted by their high SusMS and DEE) and thermoregulation alone which should result in a lower BF. Surprisingly, this finding also includes the solitary <italic>B. suillus</italic>. <italic>Georychus capensis</italic> and <italic>B. suillus</italic> occur sympatrically, but <italic>B. suillus</italic> lives in much softer, easier to dig sandy soils while <italic>G. capensis</italic> inhabit a harder clay soil in vlei areas (<xref ref-type="bibr" rid="B4">Bennett and Faulkes, 2000</xref>). This should lead to the hypothesis that <italic>B. suillus</italic> should possess a higher BF than <italic>G. capensis</italic>, mainly because this species shows a significantly lower DEE than <italic>G. capensis</italic> as digging in softer sands is less energetically demanding (<xref ref-type="bibr" rid="B48">Lovegrove, 1989</xref>; this study). However, a possible lack of sexual dimorphism in <italic>G. capensis</italic> (<xref ref-type="bibr" rid="B70">Scantlebury et al., 2006b</xref>) and an apparent sexual dimorphism in <italic>B. suillus</italic> (this study) may cause the differences in BF between species. <italic>Bathyergus suillus</italic> males show indications of increased DEE and SusMS, suggesting that males are far more active than females resulting in less stored fat in males. This sex bias is possibly due to the larger male <italic>B. suillus</italic> body size, which increases energy expenditure while constructing larger tunnels and nest complexes. Furthermore, males have been documented to search for female tunnel systems and dig into them, searching for a mate (<xref ref-type="bibr" rid="B29">Hart et al., 2006</xref>; <xref ref-type="bibr" rid="B86">Thomas et al., 2009</xref>); this searching would require more activity and energy expenditure in the males, while the females are less active and store fat in preparation for offspring care.</p>
<p>A finding of great concern is that the solitary arid-dwelling <italic>B. janetta</italic> possessed the lowest BF of all species tested in this study, indicating low resource reserves and possibly poor body condition. The WEI already indicated that the possible decline of the <italic>B. janetta</italic> population observed in 2021 is possibly due to desertification due to climate change and overgrazing by domestic animals on land in their distributional range (<xref ref-type="supplementary-material" rid="DS1">Supplementary Figure 1</xref>). The BF adds to this claim, as in 2006, when these data were collected, to 2021 there has been a drastic increase in aridity (a decrease in AI) (see <xref ref-type="supplementary-material" rid="DS1">Supplementary Figure 1</xref>). If <italic>B. janetta</italic> already showed reduced body fat reserves in 2006, possibly due to being a large, solitary subterranean mole-rat in an arid environment with dispersed food sources. Then as the area becomes more arid and food becomes scarcer due to geophytes drying out as well as the ground becoming harder, <italic>B. janetta</italic> may no longer obtain enough food to maintain a healthy body condition, which could drive local extinction of this species.</p>
</sec>
</sec>
<sec id="S5" sec-type="conclusion">
<title>Conclusion</title>
<p>This current study attempted to provide an overview of the energetic and water flux (including previously unreported energetic parameters) in the African mole-rats (see <xref ref-type="table" rid="T1">Table 1</xref>). Furthermore, we attempted to test well established energetic and water flux trends for aboveground small mammals and rodents against trends observed within the African mole-rat family. We conclude that the unique underground lifestyle and spectrum of social behaviors possessed by the family Bathyergidae are most likely more crucial to their energetics and water flux than their habitat; however other important unstudied factors may still be at play as well. Researchers often under report all the energetic parameters that can be measured using (DLW) technique and indirect calorimetry, namely WTO, WEI, and BF. These measures are vitally important in understanding how well an animal is suited for their current and future predicted environmental conditions they experience. Therefore, we urge researchers who use the DLW technique and open-circuit respirometry to report all parameters; as with this knowledge available in the literature, even greater strides in our understanding of animal energetics and species protection can be made. These parameters can be used as important indicators of which species may be particularly vulnerable to local extinction, like <italic>B. janetta</italic>, due to the changing climate.</p>
</sec>
<sec id="S6" sec-type="data-availability">
<title>Data Availability Statement</title>
<p>The datasets presented in this article are not readily available because rights to this raw data are held by the institute and further permission is needed to release such data. Requests to access the datasets should be directed to DH, <email>u10022725@tuks.co.za</email>.</p>
</sec>
<sec id="S7">
<title>Ethics Statement</title>
<p>The animal study was reviewed and approved by the Animal Ethics Committee, University of Pretoria.</p>
</sec>
<sec id="S8">
<title>Author Contributions</title>
<p>DH, NB, and DS conceived and designed the manuscript. DH analyzed the data and wrote the initial draft. DS, MO, JW, and CH performed experiments and sample analysis. All authors contributed to the final and revised manuscript.</p>
</sec>
<sec id="conf1" sec-type="COI-statement">
<title>Conflict of Interest</title>
<p>The authors declare that the research 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="pudiscl1" 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>
</body>
<back>
<sec id="S9" sec-type="funding-information">
<title>Funding</title>
<p>We thank all the funding agencies that made this research possible, namely, the SARChI Chair of Mammal Behavioral Ecology and Physiology (GUN 64756), National Research Foundation RSA (Grants 2053801 and 2053514), the British Ecological Society (SEPG), and the National Science Foundation, United States no. 0130600.</p>
</sec>
<ack><p>We would like to thank the Duckitt Family (Darling) and the Stone Family (Kamieskroon) for allowing us to conduct research on their farms Waylands and Kardou, respectively. We want to thank the Northern Cape Department of Agriculture, Land Reform and Environment, and Goegap Nature Reserve staff for their assistance. Furthermore, we would like to thank Glengarry golf estate for access to their property for animal capture and KwaZulu-Natal Nature Conservation Service. We would like to thank all the field assistants that contributed to this large data set.</p>
</ack>
<sec id="S11" sec-type="supplementary-material">
<title>Supplementary Material</title>
<p>The Supplementary Material for this article can be found online at: <ext-link ext-link-type="uri" xlink:href="https://www.frontiersin.org/articles/10.3389/fevo.2022.867350/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fevo.2022.867350/full#supplementary-material</ext-link></p>
<supplementary-material xlink:href="Data_Sheet_1.PDF" id="DS1" mimetype="application/pdf" xmlns:xlink="http://www.w3.org/1999/xlink"/>
</sec>
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