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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Conserv. Sci.</journal-id>
<journal-title>Frontiers in Conservation Science</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Conserv. Sci.</abbrev-journal-title>
<issn pub-type="epub">2673-611X</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fcosc.2022.852104</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Conservation Science</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Planning Conservation Strategies of Guiana Dolphin Related to Canal Flow and Habitat Changes in the Estuarine Lagunar Complex of Canan&#x000E9;ia</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" corresp="yes">
<name><surname>Godoy</surname> <given-names>Daniela Ferro de</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="aff" rid="aff3"><sup>3</sup></xref>
<xref ref-type="corresp" rid="c001"><sup>&#x0002A;</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/1477157/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Pavanato</surname> <given-names>Heloise</given-names></name>
<xref ref-type="aff" rid="aff4"><sup>4</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Andriolo</surname> <given-names>Artur</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
<xref ref-type="aff" rid="aff5"><sup>5</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/834589/overview"/>
</contrib>
</contrib-group>
<aff id="aff1"><sup>1</sup><institution>Instituto de Pesquisas Canan&#x000E9;ia (IPeC)</institution>, <addr-line>Canan&#x000E9;ia</addr-line>, <country>Brazil</country></aff>
<aff id="aff2"><sup>2</sup><institution>Programa de P&#x000F3;s Gradua&#x000E7;&#x000E3;o em Biodiversidade e Conserva&#x000E7;&#x000E3;o da Natureza, Universidade Federal de Juiz de Fora (UFJF)</institution>, <addr-line>Juiz de Fora</addr-line>, <country>Brazil</country></aff>
<aff id="aff3"><sup>3</sup><institution>Departamento de Zoologia, Laborat&#x000F3;rio de Ecologia Comportamental e Bioacustica, Universidade Federal de Juiz de Fora (UFJF)</institution>, <addr-line>Juiz de Fora</addr-line>, <country>Brazil</country></aff>
<aff id="aff4"><sup>4</sup><institution>Department of Mathematics and Statistics, University of Otago</institution>, <addr-line>Dunedin</addr-line>, <country>New Zealand</country></aff>
<aff id="aff5"><sup>5</sup><institution>Instituto Aqualie</institution>, <addr-line>Juiz de Fora</addr-line>, <country>Brazil</country></aff>
<author-notes>
<fn fn-type="edited-by"><p>Edited by: Govindhaswamy Umapathy, Centre for Cellular and Molecular Biology (CCMB), India</p></fn>
<fn fn-type="edited-by"><p>Reviewed by: Maria Angelica Miglino, University of S&#x000E3;o Paulo, Brazil; Ghulam Nabi, Hebei Normal University, China</p></fn>
<corresp id="c001">&#x0002A;Correspondence: Daniela Ferro de Godoy <email>danyfgodoy&#x00040;yahoo.com.br</email></corresp>
<fn fn-type="other" id="fn001"><p>This article was submitted to Animal Conservation, a section of the journal Frontiers in Conservation Science</p></fn></author-notes>
<pub-date pub-type="epub">
<day>25</day>
<month>05</month>
<year>2022</year>
</pub-date>
<pub-date pub-type="collection">
<year>2022</year>
</pub-date>
<volume>3</volume>
<elocation-id>852104</elocation-id>
<history>
<date date-type="received">
<day>19</day>
<month>01</month>
<year>2022</year>
</date>
<date date-type="accepted">
<day>19</day>
<month>04</month>
<year>2022</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x000A9; 2022 Godoy, Pavanato and Andriolo.</copyright-statement>
<copyright-year>2022</copyright-year>
<copyright-holder>Godoy, Pavanato and Andriolo</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>Anthropogenic activities have altered the structure and function of coastal and estuarine ecosystems, affecting the animals that occur in these areas. Predictive models are useful to evaluate the impact of anthropogenic characteristics over species distribution. In this study, we used generalized linear models to assess the influence Valo Grande canal, which allows fresh water to enter the Estuarine Lagunar Complex of Canan&#x000E9;ia, has on the occurrence of Guiana dolphins. A population of this species resides in the study area, which comprises many coastal and marine protected areas. Abiotic data and information on species occurrence were gathered between January 2012 and November 2014, during three fieldworks per season, covering four sectors within the estuary. The predictions resulting from generalized linear models indicated that the discharge of fresh water, which decreases salinity in the estuary, has a negative influence on the populations of dolphins in all sectors but, mainly, on sector IV, the closest to Valo Grande Canal. Thus, it is clear that Guiana dolphins presented a heterogeneous distribution within the studied estuary, and the areas of higher concentration of individuals deserve greater attention during the elaboration of conservation strategies.</p></abstract>
<kwd-group>
<kwd>generalized linear model</kwd>
<kwd>Guiana dolphin</kwd>
<kwd>habitat modifications</kwd>
<kwd>anthropic activities</kwd>
<kwd>predictive model</kwd>
<kwd>marine mammal</kwd>
</kwd-group>
<counts>
<fig-count count="5"/>
<table-count count="3"/>
<equation-count count="0"/>
<ref-count count="74"/>
<page-count count="11"/>
<word-count count="7113"/>
</counts>
</article-meta>
</front>
<body>
<sec sec-type="intro" id="s1">
<title>Introduction</title>
<p>Anthropogenic changes in the environment have brought negative consequences that caused even the protected areas to be susceptible (Filla et al., <xref ref-type="bibr" rid="B23">2008</xref>; Zappes et al., <xref ref-type="bibr" rid="B73">2009</xref>). Triggered by human activities, these changes have been more intense in coastal environments, habitat of several cetaceans that are now vulnerable (Di Beneditto and Rosas, <xref ref-type="bibr" rid="B19">2008</xref>; Crespo et al., <xref ref-type="bibr" rid="B12">2010</xref>; Ross et al., <xref ref-type="bibr" rid="B55">2011</xref>; Gusso-Choueri, <xref ref-type="bibr" rid="B29">2015</xref>). Among the threats to the balance of marine environments, we can highlight: destruction of mangrove swamps, predatory fishing, land and ship pollution, climate change and bioinvasion (Pereira et al., <xref ref-type="bibr" rid="B51">2014</xref>).</p>
<p>In the southern coast of S&#x000E3;o Paulo, southeast of Brazil, among many conflicts, the closure of Valo Grande canal&#x02014;built in 1852&#x02014;is frequently discussed by the locals, in protected areas management boards, or in judicial proceedings, once the estuary has been deeply influenced by the opening of this canal, originally 4.4 m wide, and widening rapidly ever since (Besnard, <xref ref-type="bibr" rid="B6">1950</xref>; Saldanha, <xref ref-type="bibr" rid="B58">2005</xref>; de Souza and de Oliveira, <xref ref-type="bibr" rid="B18">2016</xref>; Prado et al., <xref ref-type="bibr" rid="B52">2019</xref>). Because its margins could not stand the force of the water, they went through a process of erosion, overturning existing houses in the environs of Iguape (Valentin, <xref ref-type="bibr" rid="B70">2006</xref>; de Souza and de Oliveira, <xref ref-type="bibr" rid="B18">2016</xref>). In addition, the rapid siltation that prevented large crafts from navigating in the Valo took the region to economic decadence (Valentin, <xref ref-type="bibr" rid="B70">2006</xref>; Saldanha, <xref ref-type="bibr" rid="B58">2005</xref>).</p>
<p>Today, due to erosion, the canal is more than 300 m wide and 15 m deep at most, meaning that 70% of Ribeira river flow is channeled through it, greatly affecting the ecosystem as a whole, especially regarding the decrease in salinity (Besnard, <xref ref-type="bibr" rid="B6">1950</xref>; Bonetti-Filho and Miranda, <xref ref-type="bibr" rid="B7">1997</xref>; Saldanha, <xref ref-type="bibr" rid="B58">2005</xref>). However, this shift in salinity allowed shoals of manjubas (<italic>Anchoviella lepidentostole</italic>) to enter the canal and go upstream (Carneiro, <xref ref-type="bibr" rid="B9">2005</xref>; Saldanha, <xref ref-type="bibr" rid="B58">2005</xref>; Souza, <xref ref-type="bibr" rid="B65">2012</xref>). For this reason, this species has taken a greater proportion in comparison to other species, such as crustaceans and saltwater fish that no longer reach the northern part of the estuary (Carneiro, <xref ref-type="bibr" rid="B9">2005</xref>; Saldanha, <xref ref-type="bibr" rid="B58">2005</xref>).</p>
<p>In 1978, the State government decided to build a dam to close Valo Grande canal, causing, once again, changes in the ecosystem (Bonetti-Filho and Miranda, <xref ref-type="bibr" rid="B7">1997</xref>). An improvement in the estuarine water quality was observed, with the rapid reappearance of shellfish, oysters and shrimp (Saldanha, <xref ref-type="bibr" rid="B58">2005</xref>). This recovery, however, contrasted with the floods in the Ribeira river floodplains, which had already been intensively occupied by families and businesses, leading to conflicts among different perspectives on the multiple uses of water resources in the low basin (Souza, <xref ref-type="bibr" rid="B65">2012</xref>).</p>
<p>In 1995, the dam broke, allowing the flow of fresh water, silt and dissolved substances into the Estuarine Lagunar Complex of Canan&#x000E9;ia-Iguape, risking its environmental functions of regulation and biodiversity support for the third time (Bonetti-Filho and Miranda, <xref ref-type="bibr" rid="B7">1997</xref>; Bernardes and Miranda, <xref ref-type="bibr" rid="B5">2001</xref>; Souza, <xref ref-type="bibr" rid="B65">2012</xref>).</p>
<p>This estuary is located in the largest continuous remnant of Atlantic Forest and represents one of the most well preserved ecosystems of the Brazilian coast (Souza, <xref ref-type="bibr" rid="B65">2012</xref>). It is legally protected and has more than 40 Environmental Protection Areas at municipal, state and federal levels, which present different levels of restriction of occupation and use (ICMBio, <xref ref-type="bibr" rid="B32">2015</xref>). These protection areas are called Lagamar Mosaic (ICMBio, <xref ref-type="bibr" rid="B32">2015</xref>). In this estuary, there is a residing population of <italic>Sotalia guianensis</italic> which, according to the Official National List of Endangered Species of Fauna, published in 2014 by Ministry of the Environment, is listed as vulnerable (Monteiro-Filho, <xref ref-type="bibr" rid="B46">1991</xref>; Santos and Rosso, <xref ref-type="bibr" rid="B63">2008</xref>; Havukainen et al., <xref ref-type="bibr" rid="B31">2011</xref>; MMA, <xref ref-type="bibr" rid="B43">2014</xref>; Godoy et al., <xref ref-type="bibr" rid="B27">2015</xref>). Among the threats mammals such as the studied species are subjected to, Begon et al. (<xref ref-type="bibr" rid="B4">2007</xref>) and Crespo et al. (<xref ref-type="bibr" rid="B12">2010</xref>) evaluate that degradation and habitat loss are the biggest.</p>
<p>In view of the changes described here, the aim of the present study is to assess the influence of the construction of Valo Grande canal on the occurrence and distribution of Guiana dolphins. Among the changes caused by the canal that had already been observed in the Estuarine Lagunar Complex of Canan&#x000E9;ia, the decrease in salinity could lead to a probable loss of habitat with a decrease in the occurrence of Guiana dolphins (<italic>Sotalia guianensis</italic>), since these animals are more observed in areas with higher salinity (Eschrique et al., <xref ref-type="bibr" rid="B21">2011</xref>; Godoy et al., <xref ref-type="bibr" rid="B27">2015</xref>).</p></sec>
<sec sec-type="materials and methods" id="s2">
<title>Materials and Methods</title>
<sec>
<title>Study Area and Species</title>
<p>The Estuarine Lagunar Complex of Canan&#x000E9;ia, located in the southern coast of the state of S&#x000E3;o Paulo, is part of the Lagamar Mosaic, the first protected coastal and marine area formally recognized (MMA, <xref ref-type="bibr" rid="B44">2016</xref>). Because of the ecosystem diversity found in the region (beaches, mangrove swamps, estuaries, restingas, rivers, Atlantic Forest) and the fact that it is home to threatened and endemic species, this region integrates the Mata Atl&#x000E2;ntica Biosphere Reserve and Natural World Heritage Site, recognized by UNESCO since 1991 and 1999, respectively (Cunha-Lignon et al., <xref ref-type="bibr" rid="B13">2015</xref>). It is also an area of major expression of the ecosystem restinga, part of UNESCOS&#x00027;s World Network of Biosphere Reserves (SMA, <xref ref-type="bibr" rid="B64">2000</xref>; UNESCO, <xref ref-type="bibr" rid="B69">2010</xref>). The Estuarine Lagunar Complex of Canan&#x000E9;ia is also considered of extreme biological importance, identified as a priority area for conservation (MMA, <xref ref-type="bibr" rid="B42">2007</xref>). The integration between coastal (terrestrial) and marine zones within the unit contributes even further to its protection, considering that a great part of the impact suffered by the marine zone has terrestrial origin (Santos and Schiavetti, <xref ref-type="bibr" rid="B61">2014</xref>).</p>
<p>The Complex is characterized by the presence of three islands: Ilha de Canan&#x000E9;ia is separated from the mainland by the Sea of Cubat&#x000E3;o (Mar de Cubat&#x000E3;o) and separated from Ilha Comprida by a channel called Mar Pequeno and, both islands are separated from Ilha do Cardoso by Trapand&#x000E9; Bay (Ba&#x000ED;a de Trapand&#x000E9;) (<xref ref-type="fig" rid="F1">Figure 1</xref>).</p>
<fig id="F1" position="float">
<label>Figure 1</label>
<caption><p>Map of the Estuarine Lagunar Complex of Canan&#x000E9;ia, where the fieldwork took place, was divided in four sectors: I, II, III, and IV, according to the area&#x00027;s physiographic characteristics.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fcosc-03-852104-g0001.tif"/>
</fig>
<p>In the Canan&#x000E9;ia estuary, small groups of Guiana dolphins can be seen daily in several places (Monteiro-Filho, <xref ref-type="bibr" rid="B45">2000</xref>). The species uses this region for feeding and reproduction, and the infants can be seen throughout the year (Monteiro-Filho, <xref ref-type="bibr" rid="B46">1991</xref>; Havukainen et al., <xref ref-type="bibr" rid="B31">2011</xref>; Godoy et al., <xref ref-type="bibr" rid="B27">2015</xref>).</p></sec>
<sec>
<title>Field Activities</title>
<p>The study area covers all the surroundings of Ilha de Canan&#x000E9;ia and was divided in four sectors: I, II, III, and IV, according to the area&#x00027;s physiographic characteristics. Transects were plotted with the aid of GPS TrackMaker 13.5, respecting the distance of 1 km between the transects to avoid oversampling and subsampling. Between January 2012 and November 2014, we conducted three fieldworks per season in each sector, to collect the environmental descriptors and take notes of the dolphins&#x00027; occurrence.</p>
<p>Whenever weather conditions changed suddenly during our sampling period, fieldworks were interrupted, and the collected data were discarded if less than half of the transects of the sector had been covered.</p>
<p>Fieldworks were conducted aboard a craft type Flex-Boat, at low speed (&#x0007E;10 km/h), keeping a minimum distance of 50 m from the dolphins and taking, thus, all precautions to minimize the impact on the animals and not to disturb them (Rezende, <xref ref-type="bibr" rid="B54">2000</xref>; Filla et al., <xref ref-type="bibr" rid="B23">2008</xref>; Filla and Monteiro-Filho, <xref ref-type="bibr" rid="B24">2009</xref>). Every time there was an encounter with a group of estuarine dolphins, its location was recorded within the study area, with the use of GPS, the angle and distance related to the ship. To ensure all areas were sampled at different times of day, fieldworks were conducted in the morning (8 am to 12.30 pm) and afternoon (12.31 pm to 5 pm). Daylight saving time was not adopted. The year was divided into four seasons: spring, summer, autumn and winter, according to the precipitation index, as shown in <xref ref-type="fig" rid="F2">Figure 2</xref> for the study period (data also made available by the DAEE, <xref ref-type="bibr" rid="B15">2016</xref>).</p>
<fig id="F2" position="float">
<label>Figure 2</label>
<caption><p>Precipitation in the study area throughout the sampling period.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fcosc-03-852104-g0003.tif"/>
</fig>
<p>The flow of the Valo Grande was estimated at 70% of the flow of the Ribeira river, using data from the meteorological station of the Department of Water and Electricity of the state of S&#x000E3;o Paulo (DAEE, <xref ref-type="bibr" rid="B15">2016</xref>). Valo Grande canal is located 32 km from the northern part of Ilha de Canan&#x000E9;ia (<xref ref-type="fig" rid="F3">Figure 3</xref>).</p>
<fig id="F3" position="float">
<label>Figure 3</label>
<caption><p>Map indicating the location of the estuary of Valo Grande canal (red star) and the northern part of the sampling area (yellow star).</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fcosc-03-852104-g0002.tif"/>
</fig></sec>
<sec>
<title>Data Analysis</title>
<p>Initially, we conducted an exploratory analysis in order to identify possible outliers and remove them from subsequent analyses. Then, in order to assess whether the explanatory variables influenced the occurrence of individuals, a Generalized Linear Model (GLM) was developed, using the stats packages in R software (R Development Core Team., <xref ref-type="bibr" rid="B53">2009</xref>) to analyse which structure would be more suitable for the dataset. The variable &#x0201C;occurrence of dolphins&#x0201D; refers to data counted according to Zuur et al. (<xref ref-type="bibr" rid="B74">2009</xref>); variables of this nature are modeled according to Poisson or negative binomial distribution. It is believed that models that use abundance, as opposed to presence and absence models, can present more trustworthy results due to the greater amount of data collected at the same point (Alves, <xref ref-type="bibr" rid="B1">2015</xref>).</p>
<p>All GLMs were better adjusted by the negative binomial distribution. We chose the most adjusted model using Akaike Information Criterion (AIC, Burnham and Anderson, <xref ref-type="bibr" rid="B8">2002</xref>), in which a lower value (smallest unexplained deviation) means a &#x0201C;better&#x0201D; model (Franklin, <xref ref-type="bibr" rid="B25">2009</xref>).</p>
<p>We developed a general model (model 1) with the three predictors, a model by sector (model 2) and by season (model 3) using only the daily flow as an explanatory variable. The Prediction models were developed with the different values of daily flow in Valo Grande through the R software &#x0201C;prediction&#x0201D; function per sector and season. This function shows the average and number of dolphins within each flow value in the different seasons and sectors. We conducted a chi-square test to assess whether there was a significant difference in the numbers of dolphins predicted by the model within each flow value in each of the models. All statistical tests were performed using R software, with a 0.05 significance value.</p></sec></sec>
<sec sec-type="results" id="s3">
<title>Results</title>
<p>We conducted 131 surveys, accounting for 330 h of effective effort. During this period, we sighted 5,003 individuals, an average of 38 dolphins per survey (standard deviation = 2.47). The Valo Grande canal flow presented a daily average of 429 m3/s (standard deviation = 146.63) and a maximum of 1,087 m3/s.</p>
<p>The results of the best model 1 are shown in the table below according to the AIC value:</p>
<p>AIC (Poisson): 5259.2</p>
<p>AIC (Binomial Negative Binomial): 2530.2</p>
<p>Results show that the occurrence of dolphins throughout the study area was lower in spring and summer, compared to winter (intercept) (<xref ref-type="table" rid="T1">Table 1</xref>). The opposite was observed in the sectors where there was a significant increase in the occurrence of dolphins (sectors II and III). Also according to the data presented in <xref ref-type="table" rid="T1">Table 1</xref>, there was a negative significance of Valo Grande daily flow in relation to the number of dolphins in the region.</p>
<table-wrap position="float" id="T1">
<label>Table 1</label>
<caption><p>Results of the General Model (model 1) GLM using a negative binomial distribution.</p></caption>
<table frame="hsides" rules="groups">
<thead><tr>
<th valign="top" align="left"><bold>Parameters</bold></th>
<th valign="top" align="center"><bold>Point estimate</bold></th>
<th valign="top" align="center"><bold>Standard error</bold></th>
<th valign="top" align="center"><bold><italic>p</italic>-value</bold></th>
<th/>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Intercept</td>
<td valign="top" align="center">3.838164</td>
<td valign="top" align="center">0.1877267</td>
<td valign="top" align="center">&#x0003C;2e&#x02212;16</td>
<td valign="top" align="center">&#x0002A;&#x0002A;&#x0002A;</td>
</tr>
<tr>
<td valign="top" align="left">Autumm</td>
<td valign="top" align="center">&#x02212;0.027</td>
<td valign="top" align="center">0.1151717</td>
<td valign="top" align="center">0.814655</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">Spring</td>
<td valign="top" align="center">&#x02212;0.38784</td>
<td valign="top" align="center">0.1175123</td>
<td valign="top" align="center">0.000965</td>
<td valign="top" align="center">&#x0002A;&#x0002A;&#x0002A;</td>
</tr>
<tr>
<td valign="top" align="left">Summer</td>
<td valign="top" align="center">&#x02212;0.275</td>
<td valign="top" align="center">0.1218531</td>
<td valign="top" align="center">0.02402</td>
<td valign="top" align="center">&#x0002A;</td>
</tr>
<tr>
<td valign="top" align="left">Sector II</td>
<td valign="top" align="center">0.71364</td>
<td valign="top" align="center">0.118703</td>
<td valign="top" align="center">1.83E-09</td>
<td valign="top" align="center">&#x0002A;&#x0002A;&#x0002A;</td>
</tr>
<tr>
<td valign="top" align="left">Sector III</td>
<td valign="top" align="center">0.471941</td>
<td valign="top" align="center">0.1192629</td>
<td valign="top" align="center">7.58E-05</td>
<td valign="top" align="center">&#x0002A;&#x0002A;&#x0002A;</td>
</tr>
<tr>
<td valign="top" align="left">Sector IV</td>
<td valign="top" align="center">&#x02212;0.16236</td>
<td valign="top" align="center">0.1187</td>
<td valign="top" align="center">0.171357</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">Daily flow</td>
<td valign="top" align="center">&#x02212;0.00088</td>
<td valign="top" align="center">0.0003534</td>
<td valign="top" align="center">0.013088</td>
<td valign="top" align="center">&#x0002A;</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p><italic>Significant: 0 &#x02018;<sup>&#x0002A;&#x0002A;&#x0002A;</sup>&#x02019; 0.01 &#x02018;<sup>&#x0002A;</sup>&#x02019; 0.05 &#x02018;&#x02019; 1</italic>.</p>
</table-wrap-foot>
</table-wrap>
<p>The statistical summaries of GLMs per sector (model 2) and season (model 3), with the flow of the Valo Grande as the explanatory variable, are presented in <xref ref-type="table" rid="T2">Tables 2</xref>, <xref ref-type="table" rid="T3">3</xref>. <xref ref-type="table" rid="T2">Table 2</xref> shows significant results correlating the occurrence of dolphins in sectors III and IV, while results in sectors I and II show that the occurrence of dolphins is not determined by the daily flow of Valo Grande. However, in models that take the four seasons into account (<xref ref-type="table" rid="T3">Table 3</xref>), summer is the only season in which the occurrence of dolphins does not correlate to Valo Grande flow.</p>
<table-wrap position="float" id="T2">
<label>Table 2</label>
<caption><p>Statistical summary of GLMs per sector (I, II, III, and IV) having the flow of the Valo Grande as the explanatory variable: point estimate, standard error and <italic>p</italic>-value.</p></caption>
<table frame="hsides" rules="groups">
<thead><tr>
<th valign="top" align="left"><bold>Parameters</bold></th>
<th valign="top" align="center"><bold>Point estimate</bold></th>
<th valign="top" align="center"><bold>Standard error</bold></th>
<th valign="top" align="center"><bold><italic>p</italic>-value</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Sector I</td>
</tr>
<tr>
<td valign="top" align="left">Intercept</td>
<td valign="top" align="center">2.9723</td>
<td valign="top" align="center">0.2945</td>
<td valign="top" align="center">&#x0003C;2e&#x02212;16&#x0002A;&#x0002A;&#x0002A;</td>
</tr>
<tr>
<td valign="top" align="left">Daily flow</td>
<td valign="top" align="center">0.0006</td>
<td valign="top" align="center">0.0006</td>
<td valign="top" align="center">0.287</td>
</tr>
<tr>
<td valign="top" align="left">Sector II</td>
</tr>
<tr>
<td valign="top" align="left">Intercept</td>
<td valign="top" align="center">3.8763</td>
<td valign="top" align="center">0.2462</td>
<td valign="top" align="center">&#x0003C;2e&#x02212;16&#x0002A;&#x0002A;&#x0002A;</td>
</tr>
<tr>
<td valign="top" align="left">Daily flow</td>
<td valign="top" align="center">0.0002</td>
<td valign="top" align="center">0.0005</td>
<td valign="top" align="center">0.6050</td>
</tr>
<tr>
<td valign="top" align="left">Sector III</td>
</tr>
<tr>
<td valign="top" align="left">Intercept</td>
<td valign="top" align="center">4.5658</td>
<td valign="top" align="center">0.2215</td>
<td valign="top" align="center">&#x0003C;2e&#x02212;16&#x0002A;&#x0002A;&#x0002A;</td>
</tr>
<tr>
<td valign="top" align="left">Daily flow</td>
<td valign="top" align="center">&#x02212;0.0018</td>
<td valign="top" align="center">0.0004</td>
<td valign="top" align="center">0.0001&#x0002A;&#x0002A;&#x0002A;</td>
</tr>
<tr>
<td valign="top" align="left">Sector IV</td>
</tr>
<tr>
<td valign="top" align="left">Intercept</td>
<td valign="top" align="center">4.2974</td>
<td valign="top" align="center">0.4637</td>
<td valign="top" align="center">&#x0003C;2e&#x02212;16&#x0002A;&#x0002A;&#x0002A;</td>
</tr>
<tr>
<td valign="top" align="left">Daily flow</td>
<td valign="top" align="center">&#x02212;0.0027</td>
<td valign="top" align="center">0.001</td>
<td valign="top" align="center">0.0098&#x0002A;&#x0002A;</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p><italic>Significant: 0 &#x02018;&#x0002A;&#x0002A;&#x0002A;&#x00027; 0.001 &#x02018;&#x0002A;&#x0002A;&#x00027;</italic>.</p>
</table-wrap-foot>
</table-wrap>
<table-wrap position="float" id="T3">
<label>Table 3</label>
<caption><p>Statistical summary of GLMs by season (summer, autumn, winter and spring) having the flow of the Valo Grande as the explanatory variable: point estimate, standard error and <italic>p</italic>-value.</p></caption>
<table frame="hsides" rules="groups">
<thead><tr>
<th valign="top" align="left"><bold>Parameters</bold></th>
<th valign="top" align="center"><bold>Point estimate</bold></th>
<th valign="top" align="center"><bold>Standard error</bold></th>
<th valign="top" align="center"><bold><italic>p</italic>-value</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Summer</td>
</tr>
<tr>
<td valign="top" align="left">Intercept</td>
<td valign="top" align="center">3.9707</td>
<td valign="top" align="center">0.4228</td>
<td valign="top" align="center">&#x0003C;2e&#x02212;16 &#x0002A;&#x0002A;&#x0002A;</td>
</tr>
<tr>
<td valign="top" align="left">Daily flow</td>
<td valign="top" align="center">0.0009</td>
<td valign="top" align="center">0.0008</td>
<td valign="top" align="center">0.246</td>
</tr>
<tr>
<td valign="top" align="left">Autumn</td>
</tr>
<tr>
<td valign="top" align="left">Intercept</td>
<td valign="top" align="center">4.1347</td>
<td valign="top" align="center">0.0782</td>
<td valign="top" align="center">&#x0003C;2e&#x02212;16&#x0002A;&#x0002A;&#x0002A;</td>
</tr>
<tr>
<td valign="top" align="left">Daily flow</td>
<td valign="top" align="center">0.0010</td>
<td valign="top" align="center">0.0001</td>
<td valign="top" align="center">8.3e&#x02212;08&#x0002A;&#x0002A;&#x0002A;</td>
</tr>
<tr>
<td valign="top" align="left">Winter</td>
</tr>
<tr>
<td valign="top" align="left">Intercept</td>
<td valign="top" align="center">3.9831</td>
<td valign="top" align="center">0.0688</td>
<td valign="top" align="center">&#x0003C;2e&#x02212;16&#x0002A;&#x0002A;&#x0002A;</td>
</tr>
<tr>
<td valign="top" align="left">Daily flow</td>
<td valign="top" align="center">0.0004</td>
<td valign="top" align="center">0.0001</td>
<td valign="top" align="center">0.0093&#x0002A;&#x0002A;</td>
</tr>
<tr>
<td valign="top" align="left">Spring</td>
</tr>
<tr>
<td valign="top" align="left">Intercept</td>
<td valign="top" align="center">3.9883</td>
<td valign="top" align="center">0.0948</td>
<td valign="top" align="center">&#x0003C;2e&#x02212;16&#x0002A;&#x0002A;&#x0002A;</td>
</tr>
<tr>
<td valign="top" align="left">Daily flow</td>
<td valign="top" align="center">0.0015</td>
<td valign="top" align="center">0.0002</td>
<td valign="top" align="center">5.04e-10&#x0002A;&#x0002A;&#x0002A;</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p><italic>Significant: 0 &#x02018;&#x0002A;&#x0002A;&#x0002A;&#x00027; 0.001 &#x02018;&#x0002A;&#x0002A;&#x00027;</italic>.</p>
</table-wrap-foot>
</table-wrap>
<sec>
<title>Predictive Models</title>
<p>The average number of dolphins predicted by models 2 and 3 for each daily flow of Valo Grande canal (minimum, medium, maximum) per sector and season are represented in <xref ref-type="fig" rid="F4">Figures 4</xref>, <xref ref-type="fig" rid="F5">5</xref>.</p>
<fig id="F4" position="float">
<label>Figure 4</label>
<caption><p>Average number of Guiana dolphins predicted for different flows of Valo Grande canal (minimum, medium and maximum), in different sectors.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fcosc-03-852104-g0004.tif"/>
</fig>
<fig id="F5" position="float">
<label>Figure 5</label>
<caption><p>Average number of Guiana dolphins predicted for different flows of Valo Grande canal (minimum, medium and maximum) in different seasons.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fcosc-03-852104-g0005.tif"/>
</fig>
<p>The results pointed to an increase in the average number of dolphins following a decrease of Valo Grande canal flow. In sector III, the maximum flow was approximately twice the minimum flow, while in sector IV it increased approximately four times. In sector I, during winter and spring, the increase in the number of dolphins in relation to the increase of flow was not significant.</p>
<p>The predicted value of the number of dolphins resulting from the predictive models within each season, separated by sector, are presented in <xref ref-type="supplementary-material" rid="SM1">Appendix A</xref>. The predicted value of the number of dolphins resulting from the predictive models within each sector, separated by season, are presented in <xref ref-type="supplementary-material" rid="SM1">Appendix B</xref>.</p></sec></sec>
<sec sec-type="discussion" id="s4">
<title>Discussion</title>
<p>Results of Generalized Linear Models pointed to a negative influence of Valo Grande canal daily flow on the number of dolphins in the study area. The predictive models showed that in sectors II, III, and IV there was an increase in the number of dolphins with the decrease of Valo Grande canal average flow. This increase was crescent from sectors II to IV, corresponding to the proximity of these sectors to Valo Grande canal. Sector I was the only one that had a non-significant decrease in number of dolphins with the increase of the canal flow, according to data presented in <xref ref-type="supplementary-material" rid="SM1">Appendix A,B</xref>. The results presented in the predictive model confirm that the decrease in flow would increase the dolphins&#x00027; spatial distribution in the region, especially in sector IV, the closest to Valo Grande canal.</p>
<p>Ross et al. (<xref ref-type="bibr" rid="B55">2011</xref>) listed 10 principles that characterize the habitat needs for small cetaceans, contributing to delineate boundaries and priority habitats. One of the principles is that the priority habitat must take into account the external connections needed to ensure its integrity, since many anthropogenic actions in coastal waters are strongly impacting small cetaceans. Among these actions, the regulation of fluvial ecosystems charge and habitat loss have been threats to them (Begon et al., <xref ref-type="bibr" rid="B4">2007</xref>). Examples of these threats are presented by Nabi et al. (<xref ref-type="bibr" rid="B47">2021</xref>) in their bibliographic review of habitat changes and habitat loss caused by the regulation of river flow on Indus River Dolphin populations (<italic>Platanista gangetica minor</italic>) and conservation strategies of Yangtze Finless Porpoise (<italic>Neophocaena asiaeorientalis</italic>).</p>
<p>In the southeast of Brazil, the opening of Valo Grande canal took place in 1852, and completely changed the fluvial charge of Ribeira river, leading to the construction of a dam, which was kept closed from 1978 to 1995, when it broke down (Souza, <xref ref-type="bibr" rid="B65">2012</xref>; de Souza and de Oliveira, <xref ref-type="bibr" rid="B18">2016</xref>; Prado et al., <xref ref-type="bibr" rid="B52">2019</xref>). Nowadays, Valo Grande canal is responsible for 70% of the flow coming from the higher portion of Ribeira river (Alto do rio Ribeira). Many studies have been trying to assess the changes suffered by this environment, which is part of a region considered of extreme biological importance, identified as a priority area for conservation (MMA, <xref ref-type="bibr" rid="B42">2007</xref>), with more than 40 Protection Areas.</p>
<p>According to Nascimento et al. (<xref ref-type="bibr" rid="B48">2008</xref>), the re-opening of Valo Grande canal caused an increase in the flow, which led to the appearance of sandy islands and the formation of sand spots at the bottom of the lagunar canal. In a study conducted by Mahiques et al. (<xref ref-type="bibr" rid="B40">2009</xref>), in the central part of the complex, there was a change in the depositional pattern: before the opening of Valo Grande canal there was a predominance of sands and nowadays, the deposited sediments present more than 65% of silt and 8% of clay. According to the same author, today, the presence of metal in the sediments within the Canan&#x000E9;ia estuary comes from the Ribeira river hydrological system that used to be low when the canal was closed, but has increased substantially after the opening as a consequence of the discharge of heavy metals from ancient existing mining companies of Ribeira river toward the inner part of the estuary (Mahiques et al., <xref ref-type="bibr" rid="B40">2009</xref>; Coelho, <xref ref-type="bibr" rid="B10">2011</xref>; Saito and Oliveira, <xref ref-type="bibr" rid="B57">2012</xref>; Salgado et al., <xref ref-type="bibr" rid="B59">2021</xref>).</p>
<p>The flow of Valo Grande canal directly influences salinity and water transparency in the sectors assessed in this study (Bernardes and Miranda, <xref ref-type="bibr" rid="B5">2001</xref>; Coelho, <xref ref-type="bibr" rid="B10">2011</xref>). Salinity, on the other hand, is an important factor for the species distribution, especially in estuaries (Begon et al., <xref ref-type="bibr" rid="B4">2007</xref>). This difference in salinity has brought consequences for the northern region of the estuary and in places closer to Valo Grande canal, observed from macrophytic banks found today within and around mangrove forests, suffering thus a reduction of areas covered by mangrove swamps (Cunha-Lignon et al., <xref ref-type="bibr" rid="B13">2015</xref>; Sampaio et al., <xref ref-type="bibr" rid="B60">2021</xref>). The APA CIP Management Plan (Environmental Protection Area of Canan&#x000E9;ia-Iguape-Peru&#x000ED;be) also points to a loss of mangrove swamps habitats in the northern part, resulting from changes caused by the construction of the canal, which has come to be considered one of the factors of greatest impact on mangrove and estuarine species of the region (ICMBio, <xref ref-type="bibr" rid="B33">2016</xref>). Once acknowledged its importance for the food chains in estuaries and marine areas, the destruction of mangrove swamps could lead to the decline of coastal and estuarine fishing in the region (Pereira et al., <xref ref-type="bibr" rid="B51">2014</xref>).</p>
<p>The southern part of the study area&#x02013;Trapand&#x000E9; Bay, the area of highest concentration of Guiana dolphins, located &#x0003E;50 km from Valo Grande canal&#x02013;is still influenced by the freshwater intake, which alters salinity (Geise et al., <xref ref-type="bibr" rid="B26">1999</xref>; Santos and Rosso, <xref ref-type="bibr" rid="B62">2007</xref>; Coelho, <xref ref-type="bibr" rid="B10">2011</xref>). Studies with cetaceans also confirmed that salinity influences the spatial distribution of some species that live along the coast and estuaries (Dias et al., <xref ref-type="bibr" rid="B20">2009</xref>; Stutz Reis, <xref ref-type="bibr" rid="B66">2013</xref>; Godoy et al., <xref ref-type="bibr" rid="B27">2015</xref>; Kanaji et al., <xref ref-type="bibr" rid="B34">2016</xref>).</p>
<p>The region&#x00027;s ichthyofauna has also changed because of the freshwater intake in the Complex (Maciel, <xref ref-type="bibr" rid="B38">2001</xref>). In his study of the region, using various methods for catching fish between 1996 and 1997, the freshwater species were more abundant in the region influenced by Valo Grande canal, especially in the rainy season, and the typically marine species were more abundant in areas nearer the adjacent ocean, where salinity was higher. However, Contente (<xref ref-type="bibr" rid="B11">2013</xref>) did not find any species, using data from before the opening of Valo Grande canal. According to Maciel (<xref ref-type="bibr" rid="B38">2001</xref>), the flow of Ribeira river is a tensor that modulates the structure of fish communities in the region</p>
<p>Studies on habitat use by cetaceans show that environmental characteristics effectively influence distribution and abundance of food resources, which, in turn, influence species distribution in a given area (Ballance, <xref ref-type="bibr" rid="B2">1992</xref>; Davis et al., <xref ref-type="bibr" rid="B16">1998</xref>; Hastie et al., <xref ref-type="bibr" rid="B30">2004</xref>; Torres et al., <xref ref-type="bibr" rid="B68">2008</xref>; Rupil et al., <xref ref-type="bibr" rid="B56">2018</xref>). Therefore, the environmental variables used in most studies (depth, temperature, salinity, declivity, among others) once related to the abundance of preys, are indirectly linked to the presence of cetaceans, known to be sensible to these resources abundance (Baumgartner et al., <xref ref-type="bibr" rid="B3">2001</xref>; Learmonth et al., <xref ref-type="bibr" rid="B36">2006</xref>; MacLeod, <xref ref-type="bibr" rid="B39">2009</xref>; Lambert et al., <xref ref-type="bibr" rid="B35">2014</xref>; de Boer et al., <xref ref-type="bibr" rid="B17">2014</xref>; Godoy et al., <xref ref-type="bibr" rid="B28">2020</xref>). Most preys of Guiana dolphins are found in the estuary because they&#x00027;re from salt and brackish water, showing this region&#x00027;s importance for this species (Zanelatto, <xref ref-type="bibr" rid="B72">2001</xref>; Oliveira et al., <xref ref-type="bibr" rid="B49">2008</xref>; Lopes et al., <xref ref-type="bibr" rid="B37">2012</xref>; Rupil et al., <xref ref-type="bibr" rid="B56">2018</xref>). However, the decrease in salinity directly affects the occurrence of marine fish that enter the estuary to reproduce and feed, due to physiological limitations, since most species can only stand small variations of salinity (Maciel, <xref ref-type="bibr" rid="B38">2001</xref>; Pascke and Lanzendorf, <xref ref-type="bibr" rid="B50">2017</xref>).</p>
<p>Although the lower limit of salinity and the upper limit of exposure time for dolphins in low salinity environments are unknown, variations in salinity can alter the availability of prey and also cause physiological changes. In spite of the fact that cetaceans have a complex osmoregulation mechanism, some studies with <italic>Tursiops truncatus</italic> found physiological evidence of blood changes and skin lesions due to exposure to low salinity (Xu et al., <xref ref-type="bibr" rid="B71">2013</xref>; Ewing et al., <xref ref-type="bibr" rid="B22">2017</xref>; McClain et al., <xref ref-type="bibr" rid="B41">2020</xref>; Takeshita et al., <xref ref-type="bibr" rid="B67">2021</xref>).</p>
<p>To prevent the flow of freshwater in the estuary, the Public Prosecutor&#x00027;s Office of the state of S&#x000E3;o Paulo has determined that Valo Grande has to be closed again. The decision has been appealed and is currently under trial. If the final sentence is for its closure, a long term monitoring of the fauna and flora will be needed, in order to: (1) evaluate the recovery of areas of Manguezal; (2) carry out the survey of the estuary&#x00027;s ichthyofauna to confirm the decrease of freshwater species and consequent increase of marine species; (3) monitor dolphins in order to verify the increase in their occurrence in the areas closest to Valo Grande; (4) identify the exact cause of illness or death of Guiana dolphins using necropsy, virtopsy, pathology, histopathology, microbiology, and biochemistry techniques to assess the animal&#x00027;s health and understand how the various environmental factors can cause morbidity or mortality (as proposed by Nabi et al., <xref ref-type="bibr" rid="B47">2021</xref>) and (5) monitor accumulation of heavy metals in the ecological system.</p>
<p>Although the closure of Valo Grande is expected to bring ecological benefits, it will possibly also have negative social impacts, since floods, which also came to occur with the open Valo, were more frequent when it was closed. These floods affected the local population living on the floodplains, leading to huge financial losses (Souza, <xref ref-type="bibr" rid="B65">2012</xref>; Prado et al., <xref ref-type="bibr" rid="B52">2019</xref>). Therefore, in case of closure, support to the communities in the floodplain areas of Ribeira river will be necessary. A community group may have to be formed with researchers, managers of Protection Areas, representatives of local communities, politicians and public prosecutors to discuss this social issue. To prevent the social impacts, the relocation of the population, dredging of the original course of the river or installation of a floodgate in the Valo could be proposed. In the case of installation of a floodgate, the biologists working in the area under recovery will need to be consulted to advise when it could be opened, since to re-enter of fresh water in the system can affect directly or indirectly the areas in recovery.</p>
<p>It is interesting to highlight that the collaboration between managers of Protection Areas and researchers makes the information resulting from research relevant to the management and directly applicable during the decision-making processes. Managers and researchers tend to agree on the importance of most themes and the need to respond to fundamental questions about the main threats to protected areas management (Cvitanovic et al., <xref ref-type="bibr" rid="B14">2013</xref>).</p>
<p>Therefore, we can conclude through the predictive models that the flow coming from Valo Grande influences negatively the distribution of Guiana dolphins in the surroundings of Ilha de Canan&#x000E9;ia, especially in the areas that are closer to the Valo Grande canal. In view of this, a thorough assessment of the pros and cons regarding the closing of Valo Grande is imminent, taking into account, however, that the loss of speccies of fauna and flora in certain regions of the estuary will have an inestimable value, often with no possibility of recovery.</p></sec>
<sec sec-type="data-availability" id="s5">
<title>Data Availability Statement</title>
<p>The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.</p></sec>
<sec id="s6">
<title>Ethics Statement</title>
<p>Ethical review and approval was not required for the animal study because the data were obtained through observations of animals in their natural environment.</p></sec>
<sec id="s7">
<title>Author Contributions</title>
<p>DF and AA contributed to the conception and design of the study. DF organized the database. HP performed the statistical analysis. DF and HP wrote sections of the manuscript. All authors contributed to the manuscript review, read, and approved the submitted version.</p>
</sec>
<sec sec-type="COI-statement" id="conf1">
<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="s8">
<title>Publisher&#x00027;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>
<ack><p>We would like to thank Instituto de Pesquisas Canan&#x000E9;ia (IPeC) and Instituto Aqualie for their logistics support, the Graduate Programme in Ecology (PGEcol) at the Federal University of Juiz de Fora, Minas Gerais (UFJF). DF received financial support from CAPES (2013&#x02013;2016) and the Programa Petrobras Ambiental.</p>
</ack>
<sec sec-type="supplementary-material" id="s9">
<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/fcosc.2022.852104/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fcosc.2022.852104/full#supplementary-material</ext-link></p>
<supplementary-material xlink:href="Table_1.XLSX" id="SM1" mimetype="application/vnd.openxmlformats-officedocument.spreadsheetml.sheet" xmlns:xlink="http://www.w3.org/1999/xlink"/></sec>
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