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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Environ. Sci.</journal-id>
<journal-title>Frontiers in Environmental Science</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Environ. Sci.</abbrev-journal-title>
<issn pub-type="epub">2296-665X</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="publisher-id">1064170</article-id>
<article-id pub-id-type="doi">10.3389/fenvs.2022.1064170</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Environmental Science</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Effects of anomalous climatic events on the structure of fish larvae assemblages in the eastern Amazon</article-title>
<alt-title alt-title-type="left-running-head">Cajado et al.</alt-title>
<alt-title alt-title-type="right-running-head">
<ext-link ext-link-type="uri" xlink:href="https://doi.org/10.3389/fenvs.2022.1064170">10.3389/fenvs.2022.1064170</ext-link>
</alt-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Cajado</surname>
<given-names>Ruineris Almada</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="corresp" rid="c001">&#x2a;</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1748788/overview"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Oliveira</surname>
<given-names>Lucas Silva de</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/2044315/overview"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Silva</surname>
<given-names>Fab&#xed;ola Katrine Souza da</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/2111824/overview"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Zacardi</surname>
<given-names>Diego Maia</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1775084/overview"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Andrade</surname>
<given-names>Marcelo Costa</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/832161/overview"/>
</contrib>
</contrib-group>
<aff id="aff1">
<sup>1</sup>
<institution>Laborat&#xf3;rio de Ecologia do Ictiopl&#xe2;ncton e Pesca em &#xc1;guas Interiores</institution>, <institution>Universidade Federal do Oeste do Par&#xe1;</institution>, <addr-line>Santar&#xe9;m</addr-line>, <country>Brazil</country>
</aff>
<aff id="aff2">
<sup>2</sup>
<institution>Programa de P&#xf3;s-Gradua&#xe7;&#xe3;o em Ecologia Aqu&#xe1;tica e Pesca</institution>, <institution>N&#xfa;cleo de Ecologia Aqu&#xe1;tica e Pesca da Amaz&#xf4;nia</institution>, <institution>Universidade Federal do Par&#xe1;</institution>, <addr-line>Bel&#xe9;m</addr-line>, <country>Brazil</country>
</aff>
<aff id="aff3">
<sup>3</sup>
<institution>Programa de P&#xf3;s-Gradua&#xe7;&#xe3;o em Ecologia</institution>, <institution>Universidade Federal do Par&#xe1;</institution>, <institution>Instituto de Ci&#xea;ncias Biol&#xf3;gicas-ICB</institution>, <addr-line>Bel&#xe9;m</addr-line>, <country>Brazil</country>
</aff>
<aff id="aff4">
<sup>4</sup>
<institution>Centro de Ci&#xea;ncias Humanas</institution>, <institution>Naturais</institution>, <institution>Sa&#xfa;de e Tecnologia</institution>, <institution>Universidade Federal do Maranh&#xe3;o</institution>, <addr-line>Pinheiro</addr-line>, <country>Brazil</country>
</aff>
<author-notes>
<fn fn-type="edited-by">
<p>
<bold>Edited by:</bold> <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/1732774/overview">Josie South</ext-link>, University of Leeds, United Kingdom</p>
</fn>
<fn fn-type="edited-by">
<p>
<bold>Reviewed by:</bold> <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/1742785/overview">Carlos Rodrigues-Filho</ext-link>, Minas Gerais State University, Brazil</p>
<p>
<ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/2046846/overview">Seiji Miyazono</ext-link>, Yamaguchi University, Japan</p>
<p>
<ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/687548/overview">Ali Serhan Tarkan</ext-link>, Mu&#x11f;la University, Turkey</p>
</fn>
<corresp id="c001">&#x2a;Correspondence: Ruineris Almada Cajado, <email>ruineris.cajado@gmail.com</email>
</corresp>
<fn fn-type="other">
<p>This article was submitted to Freshwater Science, a section of the journal Frontiers in Environmental Science</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>08</day>
<month>12</month>
<year>2022</year>
</pub-date>
<pub-date pub-type="collection">
<year>2022</year>
</pub-date>
<volume>10</volume>
<elocation-id>1064170</elocation-id>
<history>
<date date-type="received">
<day>07</day>
<month>10</month>
<year>2022</year>
</date>
<date date-type="accepted">
<day>21</day>
<month>11</month>
<year>2022</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2022 Cajado, Oliveira, Silva, Zacardi and Andrade.</copyright-statement>
<copyright-year>2022</copyright-year>
<copyright-holder>Cajado, Oliveira, Silva, Zacardi and Andrade</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 reproduction of neotropical fish is linked to environmental stimuli that act as triggers in this process. Thus, it is possible to affirm that specific environmental changes can delimit most fish&#x2019;s period and reproductive success. El Ni&#xf1;o Southern Oscillation phenomena (ENSO) influence rainfall and, consequently, hydrological dynamics, affecting several fish population aspects, especially reproductive aspects. However, in the Amazon, empirical evidence of the effect of anomalous climatic events on fish reproduction is incipient. In this sense, we investigated the taxonomic and functional structure of parental fish larvae stocks and how species modulate their reproductive activities before (2013 and 2014) and during La Ni&#xf1;a (2018) and El Ni&#xf1;o (2019) events. The data evidence that the larval assemblages suffered alterations in the taxonomic and functional composition between the three analyzed periods and a pattern of temporal distribution with a high influence of environmental variables. Flow, pH, and electrical conductivity were the most important variables to modulate fish reproductive intensity between periods. The species seem to respond to combinations of these variables that reflect environmental conditions conducive to biological recruitment according to their ecological characteristics, allowing the perpetuation or decline of their abundance in each period. All species of commercial interest associated with the neutral period showed a sharp decline in the subsequent moments. These results suggest that the incidence of anomalous climatic events added to regional fisheries exploitation can negatively affect the phenology and demographic patterns of larvae assemblages on a short temporal scale. During the neutral period, the community was dominated by larvae of periodic large, herbivores, piscivores, epibenthic maneuverable, and nektonic burst swimmers. The decrease in the abundance of certain functional groups at the neutral and La Ni&#xf1;a period favored an accelerated ecological succession during the El Ni&#xf1;o period, due to the increase of species from basal trophic levels (planktivores), generalists (omnivores), highly resilient (intermediate strategists), sedentary, short-distance migrants and little commercially exploited. Thus, the results contribute to the understanding of the interactions between anomalous climatic events and the reproduction of fish with different ecological characteristics in the Amazon River.</p>
</abstract>
<kwd-group>
<kwd>El Ni&#xf1;o Southern Oscillation</kwd>
<kwd>reproductive dynamics</kwd>
<kwd>ichthyoplankton</kwd>
<kwd>functional diversity</kwd>
<kwd>Lower Amazon</kwd>
</kwd-group>
<contract-sponsor id="cn001">Universidade Federal do Par&#xe1;<named-content content-type="fundref-id">10.13039/501100007382</named-content>
</contract-sponsor>
</article-meta>
</front>
<body>
<sec id="s1">
<title>1 Introduction</title>
<p>El Ni&#xf1;o Southern Oscillation (ENSO) events are associated with abnormal surface water warming that occurs at irregular intervals in the tropical Pacific and can affect global climate (<xref ref-type="bibr" rid="B46">Marengo et al., 2012</xref>). Severe ENSO seasons affect not only the Pacific Ocean but the inland waters of the entire planet (<xref ref-type="bibr" rid="B75">Ward et al., 2014</xref>). In the northern region of Brazil, El Ni&#xf1;o episodes cause drastic changes in rainfall patterns and consequently promote more extreme droughts than normal, while La Ni&#xf1;a episodes have the opposite effect (<xref ref-type="bibr" rid="B59">Reboita et al., 2021</xref>). In Amazonian river systems, ENSO effects are reflected by changes in flow conditions, limnological variables, lateral connectivity, and seasonal biogeochemical cycles (<xref ref-type="bibr" rid="B72">Towner et al., 2021</xref>). During El Ni&#xf1;o, the absence of rain causes, among others, severe droughts, decreased lateral connectivity, intense forest fires, and reduced floodplain areas. Meanwhile, the La Ni&#xf1;a seasons are marked by high hydrological and flow levels, large amounts of rainfall, increased biological productivity, and a diversity of habitats suitable for the development of associated organisms (<xref ref-type="bibr" rid="B72">Towner et al., 2021</xref>). Additionally, La Ni&#xf1;a seasons are related to abundant fishing harvests in the Amazon (<xref ref-type="bibr" rid="B41">Isaac et al., 2016</xref>).</p>
<p>Although the Amazon ichthyofauna is very adapted to the intense hydrological dynamics that naturally occur in this system, due to the periodicity of the flood pulse, studies indicate that extreme climatic events can cause significant and lasting changes in the taxonomic composition and functional diversity of the fish community in floodplain environments (<xref ref-type="bibr" rid="B29">Freitas et al., 2013</xref>; <xref ref-type="bibr" rid="B62">R&#xf6;pke et al., 2017</xref>). The way the ichthyofauna responds to the existing environmental conditions during anomalous hydrological events is related to the ecological characteristics of each species and that often allow them to support or not such conditions (<xref ref-type="bibr" rid="B21">Chessman, 2013</xref>; <xref ref-type="bibr" rid="B20">Chea et al., 2020</xref>). The climatic anomalies associated with ENSO impact several population aspects of fish, especially reproductive ones. For example, prolonged droughts and mild floods can cause high mortality of larvae and juveniles, lower proportions of females with mature gonads, and decreased size at first maturity (<xref ref-type="bibr" rid="B18">Castello et al., 2019</xref>; <xref ref-type="bibr" rid="B63">R&#xf6;pke et al., 2022</xref>). On the other hand, some species of periodic and migratory fish benefit from larger nursery areas, feeding areas, and the connectivity between the main channel and the floodplains during La Ni&#xf1;a events when the flood is intense (<xref ref-type="bibr" rid="B54">Oliveira et al., 2014</xref>; <xref ref-type="bibr" rid="B15">Camacho Guerreiro et al., 2021</xref>; <xref ref-type="bibr" rid="B19">Cataldo et al., 2022</xref>).</p>
<p>Although studies indicate the existence of the effect of La Ni&#xf1;a and El Ni&#xf1;o on the reproductive success of ichthyofauna, few investigations have been carried out on this topic, especially in the Amazon. Empirical information from the perspective of the ichthyoplankton community stands out as a fundamental tool to assess the effect of changes in environmental gradients on fish reproduction (<xref ref-type="bibr" rid="B13">Cajado et al., 2020</xref>; <xref ref-type="bibr" rid="B73">Tyler et al., 2021</xref>). Ichthyoplankton dynamics reflect the status of commercially and ecologically important fish populations and provide predictive answers about potential future recruitment (<xref ref-type="bibr" rid="B79">Zacardi et al., 2017a</xref>; <xref ref-type="bibr" rid="B39">Humphries et al., 2020</xref>).</p>
<p>Understanding the response of the fish community to climatic anomalies through a functional face applied to ichthyoplankton becomes fundamental because it makes it possible to identify a more predictable response of biological communities to environmental changes (<xref ref-type="bibr" rid="B2">Arantes et al., 2019a</xref>; <xref ref-type="bibr" rid="B34">Gogola et al., 2021</xref>). Information of this nature would contribute to the understanding of the effect of climate change on the reproductive aspects of Neotropical fish. This fact is aggravated because, in recent decades, events such as ENSO have become increasingly intense and frequent in the tropics due to increasing changes in the global climate (<xref ref-type="bibr" rid="B25">Espinoza et al., 2019</xref>); and thus, studies of their effects on ichthyoplankton communities can help in decision-making for effective management measures for the conservation of fisheries resources.</p>
<p>In this study, we evaluated the possible influences of ENSO on the taxonomic and functional structure of the fish larvae community in the surroundings of a Lower Amazon River floodplain. Environmental variables with potential influence on the structure of ichthyoplankton assemblages were also included in our analyses. We collected ichthyoplankton in three hydrological periods: neutral, La Ni&#xf1;a, and El Ni&#xf1;o during the rising of river water, the reproductive phase of most fish species in the Lower Amazon (<xref ref-type="bibr" rid="B82">Zacardi et al., 2017b</xref>), to test the hypothesis that anomalous climatic events significantly affect fish reproduction, with changes in demographic aspects and in the taxonomic and functional structure of fish larvae assemblages. We expect that the response of species to climate change will be influenced by their functional traits. For example, pelagic fish larvae must be associated with different periods than benthic species, because the former may be more sensitive to changes in water masses than the latter, which have more geographically fixed, near-bottom habitat requirements (<xref ref-type="bibr" rid="B23">Duarte et al., 2020</xref>, <xref ref-type="bibr" rid="B24">2022</xref>; <xref ref-type="bibr" rid="B69">Silva et al., 2020</xref>). In addition, periodic species, as well as medium-distance migrators, should be more abundant during La Ni&#xf1;a, due to favorable conditions for the reproduction of these fish, such as greater amounts of rainfall and river flow (<xref ref-type="bibr" rid="B82">Zacardi et al., 2017b</xref>; <xref ref-type="bibr" rid="B39">Humphries et al., 2020</xref>). Finally, we believe that commercially exploited species will have their reproduction more affected, given that previous studies have observed the effect of climatic events on the reproductive parameters of these fish (<xref ref-type="bibr" rid="B63">R&#xf6;pke et al., 2022</xref>).</p>
</sec>
<sec sec-type="materials|methods" id="s2">
<title>2 Material and methods</title>
<sec id="s2-1">
<title>2.1 Study area</title>
<p>This study was conducted in Lower Amazon River near the city of Santar&#xe9;m, state of Par&#xe1;, Brazil. Specifically, the study was developed in the main channel of the river along marginal areas of a complex of alluvial islands locally known as &#x201c;Ilha das Marrecas&#x201d; (2&#xb0;12&#x2032;41&#x2033; S and 2&#xb0;18&#x2032;52&#x2033; S, 54&#xb0; 45&#x2032;42&#x2033; W and 54&#xb0; 43&#x2032;11&#x2033; W) (<xref ref-type="fig" rid="F1">Figure 1</xref>). Amazon River, responsible for almost 95% of all discharge in the Amazon basin, with an average flow of 209,000 (m<sup>&#x2212;&#xb3;</sup>. s), is classified as a whitewater river, having high dissolved oxygen concentrations and conductivity electrical, almost neutral pH, and large concentrations of nutrient-rich sediments, making it a highly dynamic and productive river (<xref ref-type="bibr" rid="B5">Barthem and Fabr&#xe9;, 2004</xref>; <xref ref-type="bibr" rid="B42">Junk et al., 2011</xref>). Due to the local characteristics of the river&#x2019;s hydrodynamics, erosion processes, transport, and sediment deposition on the archipelago, this environment has annual changes in its structure. These changes generate a mosaic of habitats in the floodplain (i.e., channels, marginal lakes, extensive aquatic macrophytes stands) that favor success in the life cycle of many regional species (<xref ref-type="bibr" rid="B82">Zacardi et al., 2017b</xref>; <xref ref-type="bibr" rid="B55">Oliveira et al., 2020</xref>). It should be noted that the floodplain in the Amazon River is locally called &#x201c;v&#xe1;rzea&#x201d; which represents regions of the fluvial plain flooded by white water rivers rich in sediments, coming from the Andes, which fertilize the soil favoring the growth and establishment of extensive areas of aquatic vegetation (<xref ref-type="bibr" rid="B57">Piedade et al., 2020</xref>), colonized by an association of invertebrates (entomofauna) and periphyton in the root system serving as food sources for many aquatic biota organisms (<xref ref-type="bibr" rid="B65">S&#xe1;nchez-Botero et al., 2007</xref>; <xref ref-type="bibr" rid="B45">Magalh&#xe3;es et al., 2015</xref>).</p>
<fig id="F1" position="float">
<label>FIGURE 1</label>
<caption>
<p>Study area, &#x201c;Ilha das Marrecas&#x201d; complex, lower stretch of the Amazon River, Par&#xe1;, Brazil.</p>
</caption>
<graphic xlink:href="fenvs-10-1064170-g001.tif"/>
</fig>
<p>The local climate is classified as the Am type in the K&#xf6;ppen system, that is, rainy tropical, with a restricted annual temperature range and mean monthly precipitation of over 60&#xa0;mm. Mean air temperature is approximately 27.7&#xb0;C and related humidity, is 86%, varying little during the year, while annual rainfall is approximately 2,000&#xa0;mm (<xref ref-type="bibr" rid="B22">Costa et al., 2013</xref>).</p>
<p>The archipelago of the Ilha das Marrecas is an important fluvial and lake fishing area in the Lower Amazon, with the city of Santar&#xe9;m being the main fish market for landing and marketing fish (<xref ref-type="bibr" rid="B56">Pereira et al., 2019</xref>). Fisheries in the study area sustain per capita fish consumption rates of 40&#x2013;94&#xa0;kg&#xa0;yr<sup>&#x2212;1</sup>, well above the global average of 16&#xa0;kg&#xa0;yr<sup>&#x2212;1</sup> (<xref ref-type="bibr" rid="B41">Isaac et al., 2016</xref>). The fishing activity occurs intensively for eight months throughout the year and the composition of the species caught varies between the hydrological phases, but basically focuses on medium and large migratory species, representatives of the families Serrasalmidae (e.g., <italic>Mylossoma</italic> spp) Anostomidae (e.g., <italic>Schizodon</italic> spp.), Pimelodidae (e.g., <italic>Brachyplatystoma</italic> spp., <italic>Pseudoplatystoma</italic> spp.), Pristigasteridae (e.g., <italic>Pellona</italic> spp.), Sciaenidae (e.g., <italic>Plagioscion</italic> spp.) e Curimatidae (e.g., <italic>Psectrogaster</italic> spp.) (<xref ref-type="bibr" rid="B41">Isaac et al., 2016</xref>). Fisheries productivity is associated with several factors, but in general, the highest catches per unit of effort are associated with lower values of flow, river level, rainfall, and higher temperatures (<xref ref-type="bibr" rid="B58">Pinaya et al., 2016</xref>).</p>
</sec>
<sec id="s2-2">
<title>2.2 Data sampling</title>
<p>Ichthyoplankton were collected monthly during four reproductive periods between January and April 2013, 2014, 2018, and 2019. Sampling was carried out over four stations randomly distributed in the river channel at the edge of the archipelago. The collections were carried out during the daytime (3 pm&#x2013;6 pm) and nighttime (8 pm&#x2013;11 pm, UTC -3) aboard a local vessel at reduced speed, through horizontal trawls carried out in the subsurface (0&#x2013;1&#xa0;m) of the water column for 5&#xa0;minutes using a conical plankton net with 300&#xa0;&#x3bc;m mesh size and coupled mechanical flowmeter to obtain the volume of filtered water. The net was always held against the flow to increase capture efficiency. Fish larvae were euthanized with benzocaine (250&#xa0;mg L<sup>&#x2212;1</sup>) and then preserved in formalin (10%) and stored in polyethylene bottles labeled to be transported to the laboratory. The collection effort totaled 128 samples at the end of the study (16&#xa0;months of collection x 4 sampling stations x 2 sampling times&#x2014;day and night), and all samples contained fish larvae.</p>
<p>Concomitantly with the collection of ichthyoplankton, limnological variables such as water temperature (&#xb0;C), dissolved oxygen (mg L<sup>&#x2212;1</sup>), electrical conductivity (&#x3bc;S cm<sup>&#x2212;1</sup>) and potential hydrogen (pH) were recorded using a multiparameter. Hydrological data (rainfall index, flow, and water levels) for each month of collection were obtained from the website of Brazilian Water Agency&#x2014;ANA (<ext-link ext-link-type="uri" xlink:href="http://hidroweb.ana.gov.br">http://hidroweb.ana.gov.br</ext-link>). The ENSO phenomena data were obtained by the National Oceanic and Atmospheric Administration&#x2014;NOAA (<ext-link ext-link-type="uri" xlink:href="http://www.psl.noaa.gov/data/climateindices/list/">www.psl.noaa.gov/data/climateindices/list/</ext-link>). The ENSO values were quantitatively expressed by the Oceanic Ni&#xf1;o Index (ONI), where values greater than or equal to 0.5 represent El Ni&#xf1;o events and values less than or equal to -0.5 La Ni&#xf1;a events (values between -0.5 and 0.5 represent neutral periods when none of the events occur). Based on this index, the reproductive periods (months from January to April) of 2013 and 2014 were considered neutral, while 2018 was considered La Ni&#xf1;a and 2019 El Ni&#xf1;o. The license for the collection of biological material was granted by SISBIO/ICMBio/MMA through authorization number 72.330 issued based on Normative Instruction no 154/2007.</p>
</sec>
<sec id="s2-3">
<title>2.3 Sample processing</title>
<p>In the laboratory, samples were screened by seizing the fish larvae from the suspended material, debris, and total plankton, under stereoscopic microscope. Subsequently, they were identified at the lowest possible taxonomic level, based on the regressive development sequence technique (<xref ref-type="bibr" rid="B51">Nakatani et al., 2001</xref>) and morphological, meristic, and morphometric characteristics, using specialized bibliographies. The larvae classified as &#x201c;unidentified&#x201d; or at the order level corresponded to individuals with damaged structures and/or at a very early stage of development and made up less than 10% of the collected material. Thus, the specimens identified at the level of families belonging to Engraulidae, Doradidae and Auchenipteridae were included in the analyses as taxonomic units (e.g., Engraulidae gen. sp.) because larvae of these groups were relatively abundant in the samples, and their exclusion from the analyses could influence ordination results. The taxonomic status of the species followed (<xref ref-type="bibr" rid="B31">Fricke et al., 2022</xref>)</p>
</sec>
<sec id="s2-4">
<title>2.4 Functional classification</title>
<p>We assumed that captures of fish larvae in plankton reveal the adults individuals of the species are in reproductive activity in the region at a certain phase of the hydrological cycle. This assumption is reasonable because the structure of ichthyoplankton communities results from patterns in the reproductive behavior and gene flow of adults (<xref ref-type="bibr" rid="B80">Zacardi et al., 2020</xref>; <xref ref-type="bibr" rid="B47">Mariac et al., 2022</xref>). Thus, functional traits we used here were selected according to the biological aspects of adult fish and their relationship with ecosystem and community functions (<xref ref-type="bibr" rid="B64">Rosado et al., 2013</xref>; <xref ref-type="bibr" rid="B77">Winemiller et al., 2015</xref>; <xref ref-type="bibr" rid="B34">Gogola et al., 2021</xref>).</p>
<p>Each taxonomic unit was classified into four functional groups defined by 1) life history strategy, 2) feeding habits, 3) type of migration and 4) swimming-performance/microhabitat-use strategies according to (<xref ref-type="bibr" rid="B4">Arantes et al., 2018</xref>; <xref ref-type="bibr" rid="B3">2019b</xref>; <xref ref-type="bibr" rid="B69">Silva et al., 2020</xref>). Individuals were classified based on species-level information and in cases of unavailable data available information on genera was used. Therefore, for Engraulidae gen. sp., Doradidae gen. sp. and Auchenipteridae gen. sp. functional characteristics were obtained considering traits of typical species for each of these families, based on the fish fauna inventories developed by (<xref ref-type="bibr" rid="B40">Imbiriba et al., 2020</xref>; <xref ref-type="bibr" rid="B55">Oliveira et al., 2020</xref>) in the study area. For Engraulidae gen. sp. the functional characteristics of the species of the genus <italic>Anchoviella</italic> Fowler 1911 were considered, which are local migratory fish, periodic strategists with maturation at small size, planktivores and nektonic maneuverable (<xref ref-type="bibr" rid="B69">Silva et al., 2020</xref>). While for Doradidae gen. sp., the species <italic>Nemadoras humeralis</italic> (Kner 1855), <italic>Ossancora punctata</italic> (Kner 1855) and <italic>Platydoras costatus</italic> (Linnaeus 1758) were considered, these species have convergent ecological characteristics, because they are sedentary, periodic strategists, omnivores and benthic-slow (<xref ref-type="bibr" rid="B10">Birindelli and Sousa, 2018</xref>). For Auchenipteridae gen. sp., the species <italic>Auchenipterichthys longimanus</italic> (G&#xfc;nther 1864) and <italic>Centromochlus heckelii</italic> (De Filippi 1853) were considered, both are sedentary of intermediate strategists, omnivores and benthic-slow (<xref ref-type="bibr" rid="B30">Freitas et al., 2011</xref>; <xref ref-type="bibr" rid="B10">Birindelli and Akama, 2018</xref>).</p>
<p>The species were classified according to four life history strategies taking into account the maximum body size, size at first maturation, fecundity and parental investment by individual offspring, as previously described by (<xref ref-type="bibr" rid="B78">Winemiller and Rose, 1992</xref>; <xref ref-type="bibr" rid="B62">R&#xf6;pke et al., 2017</xref>; <xref ref-type="bibr" rid="B4">Arantes et al., 2018</xref>; <xref ref-type="bibr" rid="B3">2019b</xref>): <italic>Intermediate strategists</italic> - have fecundity between 1,000 and 9,000 relatively large oocytes (diameter 1.4&#x2013;2.0&#xa0;mm) and intermediate degree of parental care (e.g., internal fertilization, so that oocytes are fertilized before spawn); <italic>Opportunistic</italic> - correspond to fish of small size (26&#x2013;113&#xa0;mm standard length (SL), early maturation (&#x3c;60&#xa0;mm SL), high and sustained reproductive effort, but low fecundity and no parental care; <italic>Periodic strategists with maturation at small size</italic> (63&#x2013;148&#xa0;mm SL) - have fecundity between 6,760 and 74,220 small oocytes (diameter of 0.5&#x2013;1.3&#xa0;mm), maximum size between 137 and 410&#xa0;mm SL and no parental care; <italic>Periodic strategists with maturation at large sized</italic> (&#x3e;164&#xa0;mm SL)&#x2014;characterized by having high fecundity between 1,000 and 202,960 small oocytes (diameter 0.7&#x2013;1.6&#xa0;mm), without parental care and maximum size &#x3e;253&#xa0;mm SL (<xref ref-type="sec" rid="s12">Supplementary Material S1</xref>). Species of life history strategy in equilibrium were not captured due to the ecological characteristics of this group that form couples, usually build nests, take care of the offspring, and do not have planktonic eggs and larvae. Hence, the fishing gear employed was not able to capture them, since it was directed to the capture of planktonic organisms.</p>
<p>The species were classified according to six feeding strategies based on dietary information available in the scientific literature in: <italic>Herbivores</italic>&#x2014;which feed predominantly on plant material (seeds, fruits or leaves) and filamentous algae; <italic>Omnivores</italic> - species that have a generalist diet without predominance of plant or animal tissue; <italic>Detritivores</italic>&#x2014;which predominantly ingest fine particulate organic matter and periphytic algae; <italic>Planktivores</italic> - species that ingest phytoplankton, zooplankton and occasionally small amounts of plant material and debris; <italic>Carnivores</italic>&#x2014;which feed on fish and numerous aquatic and terrestrial invertebrates (e.g., Ephemeroptera, Chironomidae, Coleoptera, Crustacea etc.); <italic>Piscivores</italic>&#x2014;which feed on fish at any stage of ontogenetic development, whole or in pieces, including scales and fins.</p>
<p>In addition, migratory strategies were assigned based on dispersion behavior and distances of migrations performed by species. This classification was based on information previously described by <xref ref-type="bibr" rid="B33">Garc&#xed;a-D&#xe1;vila et al. (2018)</xref> and <xref ref-type="bibr" rid="B3">Arantes et al. (2019b)</xref> in: <italic>Sedentary</italic>&#x2014;resident species that spend their entire life cycle in lowland (from floodplain) habitats, including lakes, eventually performing short-distance movements. These species generally have small body or territorial behavior, and are often associated with substrates or structured habitats (e.g., tree branches and aquatic vegetation); <italic>Short-distance or lateral migrators</italic> (between 100 and 499&#xa0;km)&#x2014;fish migrating between river floodplain habitats, including major river channels and lakes, connecting channels and various vegetated habitats such as flooded forests; <italic>Medium-distance migrators</italic> (between 500 and 1,500&#xa0;km)&#x2014;comprise species that perform lateral migrations to floodplain habitats flooded during high water, but also perform longitudinal migrations (often hundreds of kilometers) along river channels during the receding water, to reproduce at the time of rising water; <italic>Long-distance</italic> or <italic>interborder migrators</italic> (&#x3e;1,500&#xa0;km)&#x2014;comprise species that migrate thousands of kilometers along the river channels for trophic, dispersive and reproductive purposes, with the life cycle basically associated with the main channel of the river.</p>
<p>Finally, species were allocated according to five strategies of swimming-performance/microhabitat-use based on morphological characteristics previously described by (<xref ref-type="bibr" rid="B3">Arantes et al., 2019b</xref>) in: <italic>Nektonic maneuverable</italic>&#x2014;fishes have laterally compressed body and upper mouth position. The morphological traits associated with efficient swimming performance are based on a hydrodynamic body and feeding within the water column; <italic>Nektonic burst swimmers</italic>&#x2014;have fusiform body and mouth in terminal position. The morphological traits associated with efficient swimming performance are based on a hydrodynamic body and feeding within the water column; <italic>Epibenthic maneuverable</italic>&#x2014;relatively deep body and less hydrodynamic than nektonic maneuverable fish, but efficient in making lateral and vertical curves. Eyes positioned more dorsally than laterally; <italic>Benthic-slow</italic>&#x2014;relatively wide body, dorsally located eyes and inferior mouth, which are characteristic of the inhabitants of the river bottom. Low muscle mass and little area in pectoral and caudal fins. <italic>Benthic-fast</italic>&#x2014;have relatively wide body, dorsally located eyes and inferior mouth, characteristic of the inhabitants of the river bottom. Higher muscle mass and caudal fin proportion&#x2014;characteristics associated with a more efficient sustained swim compared to benthic-slow fish; <italic>Surface dwellers</italic>&#x2014;partially compressed body, usually superior mouth, short or fusiform body. Eyes positioned more dorsally than laterally.</p>
</sec>
<sec id="s2-5">
<title>2.5 Data analyses</title>
<p>The abundances of fish larvae were standardized as volume of 10&#xa0;m<sup>&#x2212;3</sup> of filtered water (number of organisms per 10&#xa0;m<sup>&#x2212;3</sup>) following <xref ref-type="bibr" rid="B51">Nakatani et al. (2001)</xref>: Y &#x3d; (X/V) &#xd7; 10, where Y represents the density of larvae at 10&#xa0;m<sup>&#x2212;3</sup>, X represents the number of captured larvae and V represents the volume of filtered water. The final statistical analysis consisted of matrices of 128 samples and 55 species, four life history strategy groups, six trophic strategy groups, four migration groups and six swimming/microhabitat use groups. Samples were aggregated by climatic period (neutral, La Ni&#xf1;a and El Ni&#xf1;o), sampling season and time of day (day/night). For the ordination analyses (RDA and PCA) the environmental data were submitted to z-score transformation to standardize variables scales (<xref ref-type="bibr" rid="B35">Gotelli and Ellison, 2013</xref>). Dispersion plots and simple Pearson correlation tests were used to evaluate potential collinearity between explanatory variables before analysis. Subsequently, variance inflation factor (VIF) also evaluated the presence of multicollinearity between the variables, considering values up to 3.0 as the limit of multicollinearity (<xref ref-type="bibr" rid="B12">Bocard et al., 2011</xref>). Was metrics water level with the flow were highly collinear (<italic>r</italic>
<sup>2</sup> &#x3d; 0.92), and therefore, the water level was excluded from the analysis as it contained the highest VIF (9.94). After removing water level, all variables showed low correlations (&#x3c;5) and VIF lower than three.</p>
<p>The Principal Component Analysis (PCA) was used to reduce the dimensions of variables environmental and examine the existence of environmental differences between periods. Axes with eigenvalues greater than 1.0 were used for interpretation, according to the Kaiser-Guttman criterion. Only variables with score coefficients &#x3e;0.4 were considered biologically important (<xref ref-type="bibr" rid="B35">Gotelli and Ellison, 2013</xref>).</p>
<p>Differences in temporal distribution patterns (neutral, La Ni&#xf1;a, and El Ni&#xf1;o - predictor variables) in the taxonomic and functional structure of fish larvae assemblages (response variables) were evaluated using abundance data (larvae density.10&#xa0;m<sup>&#x2212;</sup>&#xb3;) and analyzed using a model-based multivariate approach (<xref ref-type="bibr" rid="B76">Warton et al., 2015</xref>) with the R package <italic>mvabund</italic> (version 4.1.3). The <italic>mvabund</italic> package uses simultaneous generalized linear models (GLMs), which specify the mean-variance relationship in the data (<italic>manyglm</italic>), which for the larval density data was a negative binomial distribution with a log-link function (confirmed by examining residual plots during model validation) (<xref ref-type="bibr" rid="B76">Warton et al., 2015</xref>). In addition, a distance-based approach, multivariate and univariate GLMs, using the same linkage function as in the previous model, was fitted to test the effect of ONI and environmental variables (electrical conductivity, pH, dissolved oxygen, rainfall, and flow) on the assemblage of fish larvae. The contributions of taxa to the sum of logarithmic odds ratios (or sum of multivariate deviations) for period effects (neutral, La Ni&#xf1;a and El Ni&#xf1;o), ONI, and environmental variables significant were investigated (with a correction applied to <italic>p</italic>-values to account for multiple tests). The nature of the significant contributions of taxa to the inter-period differences in the multivariate model was also investigated by fitting univariate models for each significant taxon in the <italic>mvabund</italic>.</p>
<p>A non-metric multidimensional scaling ordination (nMDS) was used to visualize the variations in the taxonomic composition of the larval assemblage between periods. To visualize the effects of variables from the best-fit GLM model variables on fish larvae assemblages the variables were plotted using Partial Redundancy Analysis (pRDAs) with emphasis on ONI, whose significance is evaluated by a test with 999 permutations. For the ordering for pRDA, the density values of the biological data matrix were log-chord transformed. This technique combines the logarithmic transformation that makes the distribution of species more symmetrical, reducing the effects of bias caused by abundant species with the chord transformation that removes the double zeros effect from the analysis (<xref ref-type="bibr" rid="B44">Legendre and Borcard, 2018</xref>). The pRDA was performed using the sampling stations, years, months, and time (day/night) as covariates to reduce the influences of spatial structure, interannual, monthly and sampling time, respectively. The relationships between larval density (10&#xa0;m<sup>&#x2212;</sup>&#xb3;) of taxonomic species, and functional groups (life history strategy, feeding habits, type of migration and swimming-performance/microhabitat-use) with the Oceanic Ni&#xf1;o Index and local environmental variables (flow, rainfall index, electrical conductivity, dissolved oxygen, pH and temperature) was evaluated. For the composition graph in RDA, only the species that showed significant differences between the three periods using the GLM model were used, precisely to facilitate the interpretation of the results graphically. These statistical analyses were performed in the Software R version 4.1.1 using the package Vegan (<xref ref-type="bibr" rid="B53">Oksanen et al., 2018</xref>).</p>
</sec>
</sec>
<sec sec-type="results" id="s3">
<title>3 Results</title>
<p>Environmental variables differed between the periods studied. The first two axes of PCA explained approximately 55% of the data variability. The La Ni&#xf1;a period presented higher values of electrical conductivity, pH, and rainfall that were positively associated with PC1, while El Ni&#xf1;o presented higher values of temperature, ONI, dissolved oxygen, and flow, variables associated more with PC2, except for flow that was negatively more associated with PC1 (<xref ref-type="fig" rid="F2">Figure 2</xref>; <xref ref-type="table" rid="T1">Table 1</xref>). The neutral period recorded a gradient associated with the intermediate conditions environmental between the two periods of ENSO.</p>
<fig id="F2" position="float">
<label>FIGURE 2</label>
<caption>
<p>PCA analysis among variables environmental in the three sampled periods (neutral, La Ni&#xf1;a, and El Ni&#xf1;o) during the rising water in the Lower Amazon.</p>
</caption>
<graphic xlink:href="fenvs-10-1064170-g002.tif"/>
</fig>
<table-wrap id="T1" position="float">
<label>TABLE 1</label>
<caption>
<p>Mean and standard deviation values of the flow and limnological variables of the lower Amazon River between three periods (neutral, La Ni&#xf1;a, and El Ni&#xf1;o).</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="left">Variable</th>
<th align="left">Neutral</th>
<th align="left">La Ni&#xf1;a</th>
<th align="left">El Ni&#xf1;o</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="left">Flow (m<sup>&#x2212;3</sup> s<sup>&#x2212;1</sup>)</td>
<td align="char" char="plusmn">185369.93 &#xb1; 37284.40</td>
<td align="char" char="plusmn">175717.48 &#xb1; 28208.92</td>
<td align="char" char="plusmn">205228.98 &#xb1; 28800.45</td>
</tr>
<tr>
<td align="left">Rainfall (mm)</td>
<td align="char" char="plusmn">333.18 &#xb1; 147.18</td>
<td align="char" char="plusmn">326.11 &#xb1; 61.85</td>
<td align="char" char="plusmn">263.94 &#xb1; 78.96</td>
</tr>
<tr>
<td align="left">Dissolved oxygen (mg L<sup>&#x2212;1</sup>)</td>
<td align="char" char="plusmn">6.76 &#xb1; 5.39</td>
<td align="char" char="plusmn">4.97 &#xb1; 0.63</td>
<td align="char" char="plusmn">9.97 &#xb1; 8.12</td>
</tr>
<tr>
<td align="left">Electric conductivity (&#x3bc;S cm<sup>&#x2212;1</sup>)</td>
<td align="char" char="plusmn">55.46 &#xb1; 9.19</td>
<td align="char" char="plusmn">57.91 &#xb1; 1.41</td>
<td align="char" char="plusmn">53.66 &#xb1; 4.98</td>
</tr>
<tr>
<td align="left">pH</td>
<td align="char" char="plusmn">6.70 &#xb1; 0.54</td>
<td align="char" char="plusmn">8.52 &#xb1; 0.09</td>
<td align="char" char="plusmn">7.54 &#xb1; 0.64</td>
</tr>
<tr>
<td align="left">Water temperature (&#xb0;C)</td>
<td align="char" char="plusmn">29.12 &#xb1; 1.27</td>
<td align="char" char="plusmn">27.99 &#xb1; 0.69</td>
<td align="char" char="plusmn">28.81 &#xb1; 0.73</td>
</tr>
</tbody>
</table>
</table-wrap>
<p>A total of 50,484 fish larvae classified in nine orders, 27 families, 40 genera and 55 species were captured (<xref ref-type="sec" rid="s12">Supplementary Material S1</xref>). The composition and abundance of larval assemblages differed significantly between the neutral (2013 and 2014), La Ni&#xf1;a (2018) and El Ni&#xf1;o (2019) periods (LR &#x3d; 763.5, <italic>p</italic>-value &#x3d; 0.001) (<xref ref-type="fig" rid="F3">Figure 3</xref>). The assemblage differences between each period were driven by the significant contributions of 20 species (<xref ref-type="fig" rid="F4">Figure 4</xref>). The mean density of larvae captured in the neutral period (123.05 larvae 10&#xa0;m<sup>&#x2212;3</sup>) was 13 times greater than the La Ni&#xf1;a period (17.88 larvae.10&#xa0;m<sup>&#x2212;3</sup>) and about six times greater than the El Ni&#xf1;o period (39.88 larvae.10&#xa0;m<sup>&#x2212;3</sup>).</p>
<fig id="F3" position="float">
<label>FIGURE 3</label>
<caption>
<p>Non-metric multidimensional scaling ordinations (nMDS) visualizing period effects on fish assemblage composition. MAL&#x2014;<italic>Mylossoma albiscopum</italic>, MAU&#x2014;<italic>M. aureum</italic>, SCF&#x2014;<italic>Schizodon fasciatus</italic>, PSA&#x2014;<italic>Psectrogaster amazonica</italic>, POA&#x2014;<italic>Potamorhina altamazonica</italic>, POL- <italic>P. latior</italic>, AUC&#x2014;Auchenipteridae gen. sp., TAN&#x2014;<italic>Triportheus angulatus</italic>, TAU&#x2013;<italic>T. auritus</italic>, ENG&#x2014;Engraulidae gen. sp., LES&#x2014;<italic>Leporinus</italic> sp., PLF&#x2014;<italic>Pellona flavipinnis</italic>, PEC&#x2014;<italic>P. castelnaeana</italic>, PMB&#x2014;<italic>Pimelodus blochii</italic>, PSP&#x2014;<italic>Pseudoplatystoma punctifer</italic>, ANE&#x2014;<italic>Anodus elongatus</italic>, CAM&#x2014;<italic>Calophysus</italic> cf. <italic>macropterus</italic>, HEM&#x2014;<italic>Hemiodus microlepis</italic>, PRN&#x2014;<italic>Prochilodus nigricans</italic>, CYG&#x2014;<italic>Cynodon gibbus</italic>, HEI&#x2014;<italic>Hemiodus immaculatus</italic>, HES&#x2014;<italic>Hemiodus</italic> sp., RHA&#x2014;<italic>Rhinosardinia amazonica</italic>, BRJ&#x2014;<italic>Brachyplatystoma juruense</italic>, PLS&#x2014;<italic>Plagioscion squamosissimus</italic> and DOR&#x2014;Doradidae gen. sp.</p>
</caption>
<graphic xlink:href="fenvs-10-1064170-g003.tif"/>
</fig>
<fig id="F4" position="float">
<label>FIGURE 4</label>
<caption>
<p>Summary of results from individual multivariate GLM for period effects on larval assemblage composition, the percent contribution of univariate model deviance of significant taxa to the parameter deviance in the multivariate model, and the associated <italic>p</italic>-value. Figures of the fish were adapted from <xref ref-type="bibr" rid="B32">Galvis et al. (2006)</xref> and <xref ref-type="bibr" rid="B66">Santos et al. (2006)</xref>.</p>
</caption>
<graphic xlink:href="fenvs-10-1064170-g004.tif"/>
</fig>
<p>ONI and local environmental variables explained 9.66% of the change in species composition and had, except temperature and dissolved oxygen, significant effect on fish larval assemblages (RDA: permutation tests, df &#x3d; 7, F &#x3d; 3.55, <italic>p</italic>-value &#x3c; 0.001). The first two axes of the RDA explained 13.44% of the restricted variation. The taxonomic structure of the larval assemblage was strongly associated with the environmental conditions arranged along the temporal gradient (<xref ref-type="table" rid="T2">Table 2</xref>; <xref ref-type="fig" rid="F5">Figure 5</xref>). The larvae of the Characiformes <italic>Mylossoma aureum</italic>, <italic>M. albiscopum</italic>, <italic>Schizodon fasciatus</italic>, <italic>Leporinus</italic> sp., <italic>Anodus elongatus</italic>, Siluriformes <italic>Pseudoplatystoma punctifer</italic>, <italic>Sorubim lima</italic>, and Clupeiformes <italic>Pellona flavipinnis</italic>, <italic>P. castelnaeana</italic> and Engraulidae gen. sp. were more representative in the neutral period and showed a sharp decline in their abundances in subsequent periods (LR: <italic>p</italic>-value &#x3c; 0.05) (<xref ref-type="fig" rid="F4">Figure 4</xref>). Interestingly, all these species, except Engraulidae gen. sp., are highly commercially exploited in the Lower Amazon region. The curimatid <italic>Psectrogaster amazonica</italic> we associated with the La Ni&#xf1;a period and were positively associated with high gradients of electrical conductivity (LR &#x3d; 42.78, <italic>p</italic>-value &#x3d; 0.001) and pH (LR &#x3d; 12.43, <italic>p</italic>-value &#x3d; 0.04). While Auchenipteridae gen. sp., <italic>Pimelodus blochii</italic>, and <italic>Hemiodus microlepis</italic> increased in abundance during the El Ni&#xf1;o period, a fact evidenced by the association of these species with high ONI (<xref ref-type="fig" rid="F5">Figure 5</xref>). Furthermore, the abundance of these species decreased with higher pH values (LR: <italic>p</italic>-value &#x3c; 005).</p>
<table-wrap id="T2" position="float">
<label>TABLE 2</label>
<caption>
<p>Summary of GLM for the effects of environmental variables and periods on the taxonomic structure of fish larvae assemblages in the Lower Amazon. DO &#x3d; Dissolved Oxygen, EC &#x3d; Electrical Conductivity, FL &#x3d; Flow, pH &#x3d; Hydrogenonic Potential, ONI &#x3d; Oceanic Ni&#x00F1;o Index, RF &#x3d; Rainfall, TE &#x3d; Temperature, A &#x3d; association with the neutral period (color blue), El Ni&#xf1;o (color black) and La Ni&#xf1;a (color yellow). R &#x3d; type of positive (color green) or negative (color red) relationship with the environmental variable. Values in bold indicate significance (p &#x003C; 0.05). The abbreviation of the species names can be found in the legend of <xref ref-type="fig" rid="F3">Figure 3</xref>.</p>
</caption>
<table>
<tbody>
<tr>
<td>
<inline-graphic xlink:href="FENVS_fenvs-2022-1064170_wc_tfx1.tif"/>
</td>
</tr>
</tbody>
</table>
</table-wrap>
<fig id="F5" position="float">
<label>FIGURE 5</label>
<caption>
<p>Redundancy analysis (RDA) showing the association between environmental variables and the taxonomic structure of fish larvae assemblages. Only the most representative species were displayed in the graph. A detailed list of species is available in <xref ref-type="sec" rid="s12">Supplementary Material S1</xref> and their abbreviations are in the legend of <xref ref-type="fig" rid="F2">Figure 2</xref>.</p>
</caption>
<graphic xlink:href="fenvs-10-1064170-g005.tif"/>
</fig>
<p>The functional structures of the assemblages also changed between periods (LR &#x3d; 739.4, <italic>p</italic>-value &#x3d; 0.001) and were strongly modulated by ONI and local environmental variables (RDA: permutation tests, df &#x3d; 7, F &#x3d; 4.53, <italic>p</italic>-value &#x3c; 0.001) that explain 11.61% of the change in the functional structure of the larval assemblage. Larvae of fish large periodicals, herbivores, piscivores, epibenthic maneuverable, and nektonic burst swimmers were more abundant during the neutral epoch and were negatively associated with electrical conductivity and pH and positively to the flow (<italic>p</italic>-value &#x3c; 0.05) (<xref ref-type="table" rid="T3">Table 3</xref>). Larvae of fish migratory medium-distance, with a life history strategy periodic of small-sized, and maneuverable nektonic predominated during the La Ni&#xf1;a season (2018), in addition, they were positively related to the high gradients of pH, electrical conductivity, and negatively to the flow. While larvae of species with intermediate life history strategy, sedentary, short-distance migratory, planktivores, omnivores as well as benthic slow and benthic fast species, were associated with El Ni&#xf1;o (2019), a fact observed by the positive correlations of these groups with high ONI, in addition to being positively related to higher values of flow and temperature and negatively to rainfall, electrical conductivity, and pH (<italic>p</italic>-value &#x3c; 0.05) (<xref ref-type="fig" rid="F6">Figures 6A,B</xref>). Larvae of fish opportunistic life-history, as well as long-distance migrators, carnivores, and Surface dwellers, were not affected by the periods. However, they were negatively influenced by pH and electrical conductivity. Only long-distance migrants and Surface dwellers were not influenced by the variables included in our models.</p>
<table-wrap id="T3" position="float">
<label>TABLE 3</label>
<caption>
<p>Summary of GLM for the effects of environmental variables and periods on the functional structure of fish larvae assemblages in the Lower Amazon. DO &#x3d; Dissolved Oxygen, EC &#x3d; Electrical Conductivity, FL &#x3d; Flow, pH &#x3d; Hydrogenonic Potential, ONI &#x3d; Oceanic Ni&#x00F1;o Index, RF &#x3d; Rainfall, TE &#x3d; Temperature, A &#x3d; association with the neutral period (color blue), El Ni&#xf1;o (color black) and La Ni&#xf1;a (color yellow), and absence of association significative with periods (color gray). R &#x3d; type of positive (color green) or negative (color red) relationship with the environmental variable. Values in bold indicate significance (p &#x003C; 0.05).</p>
</caption>
<table>
<tbody>
<tr>
<td>
<inline-graphic xlink:href="FENVS_fenvs-2022-1064170_wc_tfx2.tif"/>
</td>
</tr>
</tbody>
</table>
</table-wrap>
<fig id="F6" position="float">
<label>FIGURE 6</label>
<caption>
<p>Redundancy analysis (RDA) showing the association between environmental variables and the functional structure of larval assemblages. <bold>(A)</bold> life history strategy, <bold>(B)</bold> feeding habits, <bold>(C)</bold> swimming/microhabitat use, and <bold>(D)</bold> migration.</p>
</caption>
<graphic xlink:href="fenvs-10-1064170-g006.tif"/>
</fig>
</sec>
<sec sec-type="discussion" id="s4">
<title>4 Discussion</title>
<p>The patterns of association of larval community to hydrological periods are dependent on the ecological strategies of each species and show that climatic events modulate the structure of larval fish assemblages, corroborating our hypothesis. These findings contribute to an understanding of interactions between anomalous climatic events and fish reproduction in the Amazon River. Larvae of large periodic fish, piscivores, herbivores, maneuverable epibenthic, and nektonic burst swimmers predominated in the neutral period. On other hand, larvae of small periodicals and medium-distance migrators were more abundant in the La Ni&#xf1;a period. In addition, larvae of fish with basal feeding habits (planktivores), generalists (omnivores), intermediate strategists, short-distance, and sedentary migrators, as well as benthic and commercially unexploited species, dominated assemblages during El Ni&#xf1;o.</p>
<p>The environmental conditions were characteristic of each period, but the flow and precipitation values diverged from the proposed models for Amazon region throughout the seasonal cycle (<xref ref-type="bibr" rid="B72">Towner et al., 2021</xref>). Higher flows were observed during El Ni&#xf1;o despite lower amounts of rainfall. Recent studies have documented abnormal precipitation in Andean regions caused by Pacific Decadal Oscillation (PDO), and ENSO in positive phases (<xref ref-type="bibr" rid="B61">Rodr&#xed;guez-Morata et al., 2019</xref>; <xref ref-type="bibr" rid="B49">Mohammadi et al., 2020</xref>). This may favor higher temperatures in this period and, consequently, rapid melting of glaciers that contribute as one of the sources of water for the Amazon River, as observed by <xref ref-type="bibr" rid="B60">Rocha et al., 2019</xref>. It is known that the Andean thaw acts as a regulator of the hydrological regime and strongly affects geomorphology, biochemistry, and ecology of headwater tributaries of the Amazon basin (<xref ref-type="bibr" rid="B27">Filizola and Guyot, 2011</xref>; <xref ref-type="bibr" rid="B74">Vauchel et al., 2017</xref>), exporting a source of sediments, organic matter, and nutrients to the lower sectors of this basin.</p>
<p>The higher values of pH and electrical conductivity during La Ni&#xf1;a possibly associated with high rainfall recorded during this period. The rainfall regime is a main regulatory agent of water courses, being responsible for the distribution of nutrients and ions in the water column, affecting concentrations of physicochemical variables in rivers (<xref ref-type="bibr" rid="B26">Esteves, 1998</xref>; <xref ref-type="bibr" rid="B84">Zuliani et al., 2016</xref>). According to <xref ref-type="bibr" rid="B17">Carvalho et al. (2000)</xref>, during increased precipitation, pH tends to rise and approach neutrality, as there is a greater dilution of dissolved compounds and faster flow. This is caused by the increase in the volume of water which causes the acidity of the water to decrease. However, rainfall is responsible for leaching the soil from adjacent regions, influencing the periodic supply of suspended solids, particulate inorganic matter, and natural calcium carbonate in the region, and increasing turbidity (<xref ref-type="bibr" rid="B68">Silva et al., 2008</xref>). Thus, the electrical conductivity that depends on the ionic composition of water bodies is also influenced by the volume of local rainfall.</p>
<p>Our results showed that in the neutral period the mean density of larvae was much higher than in the La Ni&#xf1;a and El Ni&#xf1;o periods. This high variability in abundance between different periods has also been recorded in other river systems (<xref ref-type="bibr" rid="B9">Bednarski et al., 2008</xref>; <xref ref-type="bibr" rid="B48">Marschall et al., 2021</xref>). Changes in the flow and amount of rainfall have been suggested as plausible explanations for the variation in fish reproductive success in rivers with floodplain areas (<xref ref-type="bibr" rid="B43">King et al., 2009</xref>; <xref ref-type="bibr" rid="B1">Andrews et al., 2020</xref>; <xref ref-type="bibr" rid="B70">Stoffers et al., 2022</xref>). In fact, most species associated with the neutral period showed a positive relationship to flow, pH, and electrical conductivity, but precipitation was less important. In Amazonian rivers, increased flow, which is correlated at river level, is the main mechanism for transporting eggs and larvae to floodplain areas (<xref ref-type="bibr" rid="B55">Oliveira et al., 2020</xref>; <xref ref-type="bibr" rid="B80">Zacardi et al., 2020</xref>). It is noteworthy that the early stages of fish are critical due to their high susceptibility to predation and the need for readily available food resources for growth (<xref ref-type="bibr" rid="B36">Grenouillet and Pont, 2001</xref>; <xref ref-type="bibr" rid="B50">Montenegro et al., 2020</xref>). Therefore, the floodplain is considered an excellent nursery and natural breeding ground during the initial cycle of fish development (<xref ref-type="bibr" rid="B11">Bittencourt et al., 2020</xref>; <xref ref-type="bibr" rid="B80">Zacardi et al., 2020</xref>).</p>
<p>The studies by <xref ref-type="bibr" rid="B7">Baumgartner et al. (2008)</xref> and <xref ref-type="bibr" rid="B71">Tondato et al. (2010)</xref> also recorded the association of pH and electrical conductivity with the abundance of fish larvae, however, the effect of these variables on fish reproduction is not known for sure, but somehow, they induce migration and spawning for some species. Additionally, the decrease in larvae of fish of commercial interest after the neutral period may indicate some connection with fishing carried out in the region. <xref ref-type="bibr" rid="B81">Zacardi et al. (2018)</xref> verified the relationship between the production of landed fish and the abundance of larvae in the lower stretch of the Amazon River and observed that the fishing effort undertaken on adults compromises the spawning stock and, consequently, the annual recruitment of resources. The reproductive parameters of commercially exploited species are more susceptible to the effects of climatic events (<xref ref-type="bibr" rid="B63">R&#xf6;pke et al., 2022</xref>), suggesting that environmental factors and fishing intensity can act simultaneously for the failure or success of fish recruitment in each period. Therefore, relatively minor changes in the reproductive success of large periodic can lead to poor recruitment for at least 2&#xa0;years (<xref ref-type="bibr" rid="B8">Bayley et al., 2018</xref>; <xref ref-type="bibr" rid="B18">Castello et al., 2019</xref>; <xref ref-type="bibr" rid="B19">Cataldo et al., 2022</xref>).</p>
<p>The inferred effects of climatic events on the biodiversity of fish larvae indicate that the environmental conditions associated with ENSOs act as a filter in the functional structure of local assemblages, as observed in studies involving adult fish in the Amazon (<xref ref-type="bibr" rid="B29">Freitas et al., 2013</xref>; <xref ref-type="bibr" rid="B62">R&#xf6;pke et al., 2017</xref>). Several functional groups had reproduction strongly associated with periods of high flux values, as they exploit favorable conditions for the transport of larvae to locations conducive to development. The large-size periodics decreased in abundance during ENSOs. These fish are more exploited by fisheries, in addition, they have a slow life cycle, being more sensitive to environmental changes (e.g., decreased flow) and anthropogenic pressures (<xref ref-type="bibr" rid="B18">Castello et al., 2019</xref>; <xref ref-type="bibr" rid="B15">Camacho Guerreiro et al., 2021</xref>). Larvae of many fish epibenthic maneuverable, herbivorous, and piscivorous benefit from increased flows as they are carried by rising water levels into recent floodplains to explore structurally complex habitats. For example, herbivore larvae (e.g., <italic>Mylossoma</italic> spp.) tend to colonize aquatic vegetation in search of refuge and food (<xref ref-type="bibr" rid="B11">Bittencourt et al., 2020</xref>; <xref ref-type="bibr" rid="B55">Oliveira et al., 2020</xref>), and piscivorous larvae maximize their survival by capturing abundant prey in the various habitats and micro-habitat of the floodplain (<xref ref-type="bibr" rid="B71">Tondato et al., 2010</xref>; <xref ref-type="bibr" rid="B52">Nunn et al., 2012</xref>; <xref ref-type="bibr" rid="B37">Grzybkowska et al., 2018</xref>).</p>
<p>On the other hand, although the lower flows during La Ni&#xf1;a may indicate some disadvantages in dispersal mechanisms, the offspring of small periodic fish can take advantage of the low abundances of predatory fish larvae, such as piscivores and large periodic, to maximize recruitment. This strategy guarantees good ecological conditions and advantages for the survival of small periodic since predation is one of the main mortality factors during the initial ontogeny of fish (<xref ref-type="bibr" rid="B52">Nunn et al., 2012</xref>; <xref ref-type="bibr" rid="B14">Cajado et al., 2018</xref>; <xref ref-type="bibr" rid="B39">Humphries et al., 2020</xref>).</p>
<p>The El Ni&#xf1;o period, in turn, was less favorable to the reproduction of some previously abundant functional groups (e.g., periodicals, medium-distance migrators, herbivores, and maneuverable epibenthic), suggesting that the combination of environmental conditions favorable to the reproduction of most of these groups did not occur effectively. This result corroborates the view that, regardless of anomalous hydrological periods, there is scaling at the time of spawning season between species (<xref ref-type="bibr" rid="B67">Shuai et al., 2016</xref>; <xref ref-type="bibr" rid="B6">Barthem et al., 2017</xref>; <xref ref-type="bibr" rid="B73">Tyler et al., 2021</xref>) and functional similarity reflects the preference between reproductive periods. For example, the associations of slow benthic and fast benthic fish larvae, as well as sedentary ones with the high fluxes in El Ni&#xf1;o corroborate previous studies that demonstrate that species of these functional groups require minimum hydrological levels to trigger their reproduction (for example, greater than 5&#xa0;m) (<xref ref-type="bibr" rid="B16">Ca&#xf1;as and Waylen, 2012</xref>; <xref ref-type="bibr" rid="B38">Hermann et al., 2021</xref>). This allows the larvae to enter the floodplain areas and explore the spatial patterns and nature of resources essential for successful recruitment, as reported by <xref ref-type="bibr" rid="B23">Duarte et al. (2020</xref>, <xref ref-type="bibr" rid="B24">2022)</xref> and <xref ref-type="bibr" rid="B83">Zacardi and Ponte (2021)</xref>. Thus, the period and extent of the flooding over the river plain significantly contribute to the generation and maintenance of the biodiversity of the Amazon ichthyofauna (<xref ref-type="bibr" rid="B62">R&#xf6;pke et al., 2017</xref>; <xref ref-type="bibr" rid="B28">Frederico et al., 2021</xref>).</p>
<p>These examples further indicate that changes in environmental conditions associated with ENSOs favor some functional groups but are detrimental to others. However, a deeper understanding of how climatic events influence the structure of fish descendants can be obtained from the expansion of the sampling effort in spatial and temporal scales, inclusion of interactions between factors such as seasonal periods, water level elevation intervals, river, prey availability, lateral connectivity, and forest cover.</p>
</sec>
<sec sec-type="conclusion" id="s5">
<title>5 Conclusion</title>
<p>The variation in the taxonomic and functional structure of the fish larvae community between periods highlights the potential for extreme weather events as a factor affecting fish reproduction in the Amazon River. Despite this evidence, further studies are needed to better understand the processes that shape the reproductive dynamics of fish under anomalous hydrological conditions in the Amazon basin. Although we can only assume, the interaction between hydrological variations and factors such as changes in local environmental variables, ecological relationships, and fisheries seem to enable the success of certain functional groups in each period. The findings of this study can serve as a baseline to assist the implementation of protective measures on reproductive fish stocks, for example, in times of ENSO under atypical flow conditions and changes in environmental characteristics, where the intensity of reproduction and the biological recruitment is predictable, and thus adjust the duration of fish reproduction protection periods. An alternative widely used in the region as an effective action for the conservation of species and the sustainable use of fisheries resources.</p>
</sec>
</body>
<back>
<sec sec-type="data-availability" id="s6">
<title>Data availability statement</title>
<p>The raw data supporting the conclusion of this article will be made available by the authors, without undue reservation.</p>
</sec>
<sec id="s7">
<title>Ethics statement</title>
<p>Ethical review and approval was not required for the animal study because the license for the collection of biological material was granted by SISBIO/ICMBio/MMA through authorization number 72.330 issued based on Normative Instruction no 154/2007.</p>
</sec>
<sec id="s8">
<title>Author contributions</title>
<p>Conceptualisation: RC, DZ, and MA. Developing methods: RC, DZ, LO, and FS. Conducting the research: RC, LO, and FS. Data analysis: RC. Preparation of figures and tables: RC. Conducting the research, data interpretation, writing: RC, DZ, MA, LO, and FS. All authors contributed to the article and approved the submitted version.</p>
</sec>
<sec id="s9">
<title>Funding</title>
<p>This study is part of the Master Thesis of the first author (RC) at the Graduate Program on Aquatic Ecology and Fishing, Universidade Federal do Par&#xe1;. RC was funded by Coordena&#xe7;&#xe3;o de Aperfei&#xe7;oamento de Pessoal de N&#xed;vel Superior (CAPES) and by UFPA (PROPESP/UFPA &#x0023;02/2022).</p>
</sec>
<ack>
<p>The authors thank the colleagues from the Universidade Federal do Oeste do Par&#xe1;, represented by the Laborat&#xf3;rio de Ecologia do Ictiopl&#xe2;ncton e Pesca em &#xc1;guas Interiores (<ext-link ext-link-type="uri" xlink:href="https://leipaiufopa.com/">https://leipaiufopa.com/</ext-link>) for the assistance in the collection, sorting and identification of the biological material used in this study.</p>
</ack>
<sec sec-type="COI-statement" id="s10">
<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 sec-type="disclaimer" id="s11">
<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>
<sec id="s12">
<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/fenvs.2022.1064170/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fenvs.2022.1064170/full&#x23;supplementary-material</ext-link>
</p>
<supplementary-material xlink:href="Table1.DOCX" id="SM1" mimetype="application/DOCX" xmlns:xlink="http://www.w3.org/1999/xlink"/>
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