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<article article-type="research-article" dtd-version="1.1" specific-use="sps-1.9" xml:lang="en"
	xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">
	<front>
		<journal-meta>
			<journal-id journal-id-type="publisher-id">ni</journal-id>
			<journal-title-group>
				<journal-title>Neotropical Ichthyology</journal-title>
				<abbrev-journal-title abbrev-type="publisher">Neotrop.
					ichthyol.</abbrev-journal-title>
			</journal-title-group>
			<issn pub-type="ppub">1679-6225</issn>
			<issn pub-type="epub">1982-0224</issn>
			<publisher>
				<publisher-name>Sociedade Brasileira de Ictiologia</publisher-name>
			</publisher>
		</journal-meta>
		<article-meta>
			<article-id pub-id-type="doi">10.1590/1982-0224-2022-0094</article-id>
			<article-categories>
				<subj-group subj-group-type="heading">
					<subject>Original Article</subject>
				</subj-group>
			</article-categories>
			<title-group>
				<article-title>Environmental predictors of the life history of the flag tetra
						<italic>Hyphessobrycon heterorhabdus</italic> (Characiformes: Characidae) in
					streams of the Eastern Amazon</article-title>
			</title-group>
			<contrib-group>
				<contrib contrib-type="author" corresp="yes">
					<contrib-id contrib-id-type="orcid">0000-0002-6721-6776</contrib-id>
					<name>
						<surname>Oliveira</surname>
						<given-names>Antonio Elivelton Paiva de</given-names>
					</name>
					<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
					<role>Conceptualization</role>
					<role>Data curation</role>
					<role>Formal analysis</role>
					<role>Investigation</role>
					<role>Methodology</role>
					<role>Resources</role>
					<role>Software</role>
					<role>Validation</role>
					<role>Visualization</role>
					<role>Writing-original draft</role>
					<role>Writing-review and editing</role>
				</contrib>
				<contrib contrib-type="author" corresp="no">
					<contrib-id contrib-id-type="orcid">0000-0001-9370-6747</contrib-id>
					<name>
						<surname>Montag</surname>
						<given-names>Luciano Fogaça de Assis</given-names>
					</name>
					<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
					<role>Resources</role>
					<role>Visualization</role>
				</contrib>
				<contrib contrib-type="author" corresp="no">
					<contrib-id contrib-id-type="orcid">0000-0001-9224-3138</contrib-id>
					<name>
						<surname>Rocha</surname>
						<given-names>Rossineide Martins da</given-names>
					</name>
					<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
					<role>Resources</role>
					<role>Visualization</role>
				</contrib>
				<contrib contrib-type="author" corresp="no">
					<contrib-id contrib-id-type="orcid">0000-0001-7333-5176</contrib-id>
					<name>
						<surname>López-Rodríguez</surname>
						<given-names>Nathalia Carolina</given-names>
					</name>
					<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
					<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
					<role>Conceptualization</role>
					<role>Formal analysis</role>
					<role>Investigation</role>
					<role>Methodology</role>
					<role>Resources</role>
					<role>Supervision</role>
					<role>Validation</role>
					<role>Writing-original draft</role>
					<role>Writing-review &amp; editing</role>
				</contrib>
				<contrib contrib-type="author" corresp="no">
					<contrib-id contrib-id-type="orcid">0000-0003-4226-2431</contrib-id>
					<name>
						<surname>Prudente</surname>
						<given-names>Bruno da Silveira</given-names>
					</name>
					<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
					<role>Conceptualization</role>
					<role>Data curation</role>
					<role>Formal analysis</role>
					<role>Funding acquisition</role>
					<role>Investigation</role>
					<role>Methodology</role>
					<role>Project administration</role>
					<role>Resources</role>
					<role>Software</role>
					<role>Supervision</role>
					<role>Validation</role>
					<role>Visualization</role>
					<role>Writing-original draft</role>
					<role>Writing-review &amp; editing</role>
				</contrib>
			</contrib-group>
			<aff id="aff1">
				<institution content-type="original"> Laboratório de Ecologia e Conservação da
					Amazônia (LABECA), Universidade Federal Rural da Amazônia, campus Capitão Poço,
					Rua Professora Antônia Cunha de Oliveira, Vila Nova, 68650-000 Capitão Poço, PA,
					Brazil. (AEPO) elivelton99oliveira@gmail.com (corresponding author), (BSP)
					brunoprudente8@gmail.com, (NCLR) nathalyalopez616@gmail.com. </institution>
				<institution content-type="normalized">Universidade Federal Rural da
					Amazônia</institution>
				<institution content-type="orgdiv1">Laboratório de Ecologia e Conservação da
					Amazônia (LABECA)</institution>
				<institution content-type="orgname">Universidade Federal Rural da
					Amazônia</institution>
				<addr-line>
					<state>PA</state>
					<city>Capitão Poço</city>
					<postal-code>68650-000</postal-code>
				</addr-line>
				<country country="BR">Brazil</country>
				<email>elivelton99oliveira@gmail.com</email>
				<email>brunoprudente8@gmail.com</email>
				<email>nathalyalopez616@gmail.com</email>
			</aff>
			<aff id="aff2">
				<institution content-type="original"> Laboratório de Ecologia de Conservação
					(LABECO), Instituto de Ciências Biológicas, Universidade Federal do Pará, Av.
					Bernardo Saião, Guamá, 68625-150 Belém, PA, Brazil. (LFAM) montag@ufpa.br. </institution>
				<institution content-type="normalized">Universidade Federal do Pará</institution>
				<institution content-type="orgdiv1">Laboratório de Ecologia de
					Conservação</institution>
				<institution content-type="orgdiv2">Instituto de Ciências Biológicas</institution>
				<institution content-type="orgname">Universidade Federal do Pará</institution>
				<addr-line>
					<state>PA</state>
					<city>Belém</city>
					<postal-code>68625-150</postal-code>
				</addr-line>
				<country country="BR">Brazil</country>
				<email>montag@ufpa.br</email>
			</aff>
			<aff id="aff3">
				<institution content-type="original"> Laboratório de Ultraestrutura Celular,
					Instituto de Ciências Biológicas, Universidade Federal do Pará, Rua Augusto
					Corrêa, 01, Campus Universitário do Guamá Belém, 66075-110 Belém, PA, Brazil.
					(RMR) rmrocha@ufpa.br </institution>
				<institution content-type="normalized">Universidade Federal do Pará</institution>
				<institution content-type="orgdiv1">Laboratório de Ultraestrutura Celular</institution>
				<institution content-type="orgdiv2">Instituto de Ciências Biológicas</institution>
				<institution content-type="orgname">Universidade Federal do Pará</institution>
				<addr-line>
					<state>PA</state>
					<city>Belém</city>
					<postal-code>66075-110</postal-code>
				</addr-line>
				<country country="BR">Brazil</country>
				<email>rmrocha@ufpa.br</email>
			</aff>
			<author-notes>
				<fn fn-type="edited-by" id="fn1">
					<label>Edited-by</label>
					<p>Elizete Rizzo</p>
				</fn>
				<fn fn-type="corresp" id="fn2">
					<label>Correspondence</label>
					<p>Antonio Elivelton Paiva de Oliveira elivelton99oliveira@gmail.com</p>
				</fn>
				<fn fn-type="conflict" id="fn3">
					<label>Competing Interests</label>
					<p>The authors declare no competing interests.</p>
				</fn>
				<fn fn-type="other" id="fn4">
					<label>Ethical Statement</label>
					<p>The fish sampling was legally supported by the license number 63603-3, provided by the
						Instituto Chico Mendes de Conservação de Biodiversidade (ICMBio), through
						the Sistema de Autorização e Informação em Biodiversidade (SISBIO), and
						regulated by the Animal Ethics Committee of the Universidade Feral Rural do
						Amazonas (UFRA), through process number 054/2018.</p>
				</fn>
			</author-notes>
			<pub-date date-type="pub" publication-format="electronic">
				<day>25</day>
				<month>12</month>
				<year>2023</year>
			</pub-date>
			<pub-date date-type="collection" publication-format="electronic">
				<year>2023</year>
			</pub-date>
			<volume>21</volume>
			<issue>04</issue>
			<elocation-id>e220094</elocation-id>
			<history>
				<date date-type="received">
					<day>08</day>
					<month>10</month>
					<year>2022</year>
				</date>
				<date date-type="accepted">
					<day>22</day>
					<month>09</month>
					<year>2023</year>
				</date>
			</history>
			<permissions>
				<copyright-statement>© 2023 The Authors</copyright-statement>
				<copyright-year>2023</copyright-year>
				<copyright-holder>The Authors</copyright-holder>
				<license license-type="open-access"
					xlink:href="https://creativecommons.org/licenses/by/4.0/" xml:lang="en">
					<license-p>This is an open-access article distributed under the terms of the
						Creative Commons Attribution License</license-p>
				</license>
			</permissions>
			<abstract>
				<title>Abstract</title>
				<p>This study aimed to characterize the reproductive biology of <italic>Hyphessobrycon
						heterorhabdus</italic>, and its response to environmental variations in the
					Eastern Amazon streams. We sampled specimens every two months, between March
					2019 and January 2020. The population was evaluated for sex ratio, reproductive
					activity, growth pattern, condition factor, size at the first sexual maturation,
					spawning type, and fecundity. We analyzed 180 specimens, which showed a sex
					ratio of 1.6 males for each female across the whole period, with 2.3 males for
					each female during the period of greatest reproductive activity. The peak of
					reproductive activity coincided with higher precipitation periods and was
					partially predicted by factors such as water temperature, stream discharge,
					dissolved oxygen, substrate complexity, and electrical conductivity. The length
					where 50% and 100% of population to reach sexual maturity was 18.0 and 22.0 mm
					for males and 19.7 and 27.0 mm for females. The oocyte diameters showed a
					bimodal frequency, with at least two batches of oocytes. The average fecundity
					of 197 oocytes. The results indicate that this species presents an opportunistic
					strategy, and the tactics that make up this strategy depend on variations in
					both the physical structure of the habitat and physicochemical aspects of the
					water.</p>
			</abstract>
			<trans-abstract xml:lang="pt">
				<title>Resumo</title>
				<p>Este estudo teve como objetivo caracterizar a biologia reprodutiva de <italic>Hyphessobrycon
						heterorhabdus</italic> e sua resposta às variações ambientais em riachos da
					Amazônia Oriental. Os espécimes foram amostrados bimestralmente, entre março de
					2019 e janeiro de 2020. A população foi avaliada quanto à razão sexual,
					atividade reprodutiva, padrão de crescimento, fator de condição, tamanho na
					primeira maturação sexual, tipo de desova e fecundidade. Foram analisados 180
					exemplares, que apresentaram proporção sexual de 1,6 machos para cada fêmea
					durante todo o período, com 2,3 machos para cada fêmea no período de maior
					atividade reprodutiva. O pico da atividade reprodutiva coincidiu com períodos de
					maior precipitação sendo parcialmente predito por fatores como temperatura da
					água, vazão, oxigênio dissolvido, complexidade do substrato e condutividade
					elétrica. O comprimento onde 50% e 100% da população atingiram a maturidade
					sexual foi de 18,0 e 22,0 mm para os machos e 19,7 e 27,0 mm para fêmeas. Os
					diâmetros dos oócitos apresentaram frequência bimodal, com pelo menos dois
					lotes. A fecundidade média da espécie foi de 197 oócitos. Os resultados indicam
					que a espécie possui uma estratégia oportunista, onde as táticas que compõem
					esta estratégia dependem tanto de variações na estrutura física do habitat
					quanto de aspectos físico-químicos da água.</p>
			</trans-abstract>
			<kwd-group xml:lang="en">
				<title>Keywords:</title>
				<kwd>Fecundity</kwd>
				<kwd>Rainfall</kwd>
				<kwd>Reproductive strategy</kwd>
				<kwd>Sexual maturation</kwd>
				<kwd>Spawning</kwd>
			</kwd-group>
			<kwd-group xml:lang="pt">
				<title>Palavras chave:</title>
				<kwd>Desova</kwd>
				<kwd>Estratégia reprodutiva</kwd>
				<kwd>Fecundidade</kwd>
				<kwd>Maturação sexual</kwd>
				<kwd>Precipitação</kwd>
			</kwd-group>
			<counts>
				<fig-count count="6"/>
				<table-count count="1"/>
				<equation-count count="1"/>
				<ref-count count="74"/>
			</counts>
		</article-meta>
	</front>
	<body>
		<sec sec-type="intro">
			<title>INTRODUCTION</title>
			<p>Fish stand out among vertebrates as the group with the most remarkable diversity of
				reproductive strategies (<xref ref-type="bibr" rid="B25">Helfman <italic>et al</italic>., 2009</xref>), resulting mainly
				from the heterogeneity of secondary sexual characters, oocyte morphology, parental
				care, and the variety of courtship behaviors (<xref ref-type="bibr" rid="B63">Vazzoler, 1996</xref>). Their reproductive
				tactics tend to vary according to the intensities of intra and interspecific
				interactions or even in response to environmental variations, which may be natural
				or resulting from anthropic activities (<xref ref-type="bibr" rid="B71">Wootton, 1992</xref>; <xref ref-type="bibr" rid="B58">Souto <italic>et
				al</italic>., 2017</xref>).</p>
			<p>Reproductive strategies and tactics are among the most important aspects of fish autecology
				and are directly related to the maintenance of their populations in each environment
				(<xref ref-type="bibr" rid="B40">Nikolsky, 1969</xref>; <xref ref-type="bibr" rid="B8">Braga, 2006</xref>; <xref ref-type="bibr" rid="B38">Monaco <italic>et al</italic>., 2014</xref>). In this sense,
				knowing these strategies and tactics contributes to the development of management
				plans for these biological populations, directing actions aimed at minimizing
				possible damage resulting from threats such as predatory fishing (<xref ref-type="bibr" rid="B17">Chapman <italic>et
					al</italic>., 1998</xref>; <xref ref-type="bibr" rid="B52">Ribeiro <italic>et al</italic>., 2008</xref>) and anthropic
				disturbances that affect the dynamics of aquatic ecosystems (<xref ref-type="bibr" rid="B58">Souto <italic>et
					al</italic>., 2017</xref>).</p>
			<p>Conducting this type of study also fills a significant knowledge gap about the life history of
				tropical fish species (Raunkiaeran Gap) (<xref ref-type="bibr" rid="B26">Hortal <italic>et al</italic>., 2015</xref>). This
				is even more relevant for the Amazon basin, which has a high environmental
				heterogeneity (<xref ref-type="bibr" rid="B57">Sioli, 1984</xref>) and is home to the most extraordinary diversity of
				freshwater fish in the world, with a large part of this diversity present in creek
				ecosystems (<xref ref-type="bibr" rid="B42">Oberdorff <italic>et al</italic>., 2019</xref>).</p>
			<p>In the Amazon basin, hydrological variations are considered the main predictor of natural
				seasonal variations in the environmental conditions of aquatic ecosystems
				(<xref ref-type="bibr" rid="B18">Espírito-Santo <italic>et al</italic>., 2013</xref>). In large rivers, this directly
				contributes to flooding pulses, which are predictable variations directly related to
				the reproductive activities of Amazonian fish (<xref ref-type="bibr" rid="B32">Junk <italic>et al</italic>., 1989</xref>).
				However, in upland streams, this seasonal variation of environmental conditions is
				much more unpredictable and is more strongly associated with the rainfall regime
				along the catchment (<xref ref-type="bibr" rid="B33">Kramer, 1978</xref>; <xref ref-type="bibr" rid="B61">Tomasella <italic>et al</italic>., 2008</xref>). This
				local rainfall is considered the primary regulator of the environmental conditions
				of the streams and, consequently, the main predictor of the reproductive tactics of
				the fish living in this environment (<xref ref-type="bibr" rid="B33">Kramer, 1978</xref>).</p>
			<p><italic>Hyphessobrycon heterorhabdus</italic> (Ulrey, 1894) is a small characid that is widely
				distributed in the lower Amazon region (<xref ref-type="bibr" rid="B20">Faria, 2020</xref>), standing out among the most
				abundant species in streams of the Eastern Amazon (<xref ref-type="bibr" rid="B5">Benone <italic>et al</italic>.,
					2017</xref>; <xref ref-type="bibr" rid="B21">Ferreira <italic>et al</italic>., 2018</xref>; <xref ref-type="bibr" rid="B49">Prudente <italic>et al</italic>.,
						2018</xref>; <xref ref-type="bibr" rid="B54">Santos <italic>et al</italic>., 2019</xref>). This species inhabits small tributaries
				and forms schools of five to 30 individuals that occupy backwater areas close to the
				banks, where they feed on items available both in the water column and associated
				with the substrate of these banks (<xref ref-type="bibr" rid="B10">Brejão <italic>et al</italic>., 2013</xref>).</p>
			<p>Like other Amazonian characids, <italic>H. heterorhabdus </italic>is regionally known as
				“piaba” and economically distinct for being on the list of ornamental species
				popularly known as flag tetra (<xref ref-type="bibr" rid="B29">IBAMA, 2012</xref>). However, information about their
				reproductive ecology is still lacking.</p>
			<p>In this sense, the present study aimed (i) characterize the reproductive biology of <italic>H.
				heterorhabdus</italic> considering the trilateral continuum model of <xref ref-type="bibr" rid="B70">Winemiller,
				Rose (1992</xref>), based on sex ratio, gonadal maturation stages, reproductive activity,
				growth pattern, allometric condition factor (K), spawning type, fecundity, and
				length where 50% and 100% of population to reach sexual maturity; and (ii)
				understand how this reproductive activity responds to temporal variation in
				environmental conditions in the upland streams of the Eastern Amazon. We
				hypothesized that the species would have reproductive traits corresponding to an
				opportunistic strategy, such as a prolonged period of reproductive activity that is
				positively related to hydrological variations such as precipitation and variation in
				depth and width of the channel, with a smaller influence of physicochemical
				characteristics of the water.</p>
		</sec>
		<sec sec-type="materials|methods">
			<title>MATERIAL AND METHODS</title>
			<p><bold>Study area.</bold> This study occurred in a catchment of 1,240 ha on the left margin of
				the Guamá River, in the municipality of Capitão Poço, state of Pará, Eastern
				Brazilian Amazon (<xref ref-type="fig" rid="f1">Fig. 1</xref>). The local vegetation is classified as equatorial
				sub-perennial forest (<xref ref-type="bibr" rid="B28">IBGE, 1992</xref>). However, the catchment landscape is currently
				dominated by farmland and cattle pasture (<xref ref-type="bibr" rid="B44">Pacheco, Bastos, 2001</xref>), with small
				remnants of secondary (<xref ref-type="bibr" rid="B56">Silva <italic>et al</italic>., 1999</xref>) and riparian forests,
				which are considered areas of permanent preservation under article 30 of the
				Brazilian Forest Code, federal law number 12,651/12. The region has a humid tropical
				climate, subtype <italic>Af</italic> in the Köppen classification adapted by <xref ref-type="bibr" rid="B46">Peel
					<italic>et al.</italic> (2007</xref>). The mean annual temperature is 26.9 ºC, which
				varies only slightly over the year. The mean annual rainfall is 2,370 mm, with a
				rainy season between January and May, and a dry season between August and November
				(<xref ref-type="bibr" rid="B44">Pacheco, Bastos, 2001</xref>; <xref ref-type="bibr" rid="B30">INMET, 2021</xref>).</p>
			<p>We sampled three low-order streams (1st to 2nd order <italic>sensu</italic> <xref ref-type="bibr" rid="B59">Strahler, 1957</xref>)
				with similar physical habitat characteristics. In each stream, we defined a 50 m
				stretch divided by six cross sections, resulting in five 10 m longitudinal sections
				where we measured the local environmental condition and sampled the fish species.
				The streams were assessed every two months between March 2019 and January 2020.</p>
			<fig id="f1">
				<label>FIGURE 1 |</label>
				<caption>
					<title>Location of the streams (black circles) in the Guamá River basin, Eastern Amazon, State
						of Pará, Brazil, where the specimens of <italic>Hyphessobrycon
							heterorhabdus</italic> were sampled between March 2019 and January
						2020.</title>
				</caption>
				<graphic xlink:href="1982-0224-ni-21-04-e220094-gf1.jpg"/>
			</fig>
			<p>
				<bold>Data sampling</bold>. Before the fish collection, we measured four
				physicochemical characteristics of the water in each stream, such as Dissolved
				Oxygen (%), Electrical Conductivity (μS/cm-1), pH, and Temperature (ºC), using a
				Horiba U-50 multiparameter device. In each cross-section established at each stream,
				we measured the wetted width (WW – m), the thalweg depth (TD – cm) and the
				percentage of structured substrate (SS – %). We determined the WW (transversal
				distance between stream-flooded margins) and the TD using a ruled pole. The SS was
				obtained by summing the percentages of leaf litter, woody fragments and roots
				visually estimated at five equidistant points within each cross-section. </p>
			<p>We recorded the flow speed (FS – m/s) of the stream at three equidistant points along the
				channel by measuring the time taken by a floating object to move a known distance.
				This information was used to calculate the stream discharge (D – m3/s) based on the
				equation, <inline-formula><mml:math>
					<mml:semantics>
						<mml:mrow>
							<mml:mi>Q</mml:mi><mml:mo>=</mml:mo><mml:mi>a</mml:mi><mml:mo>*</mml:mo><mml:mi>v</mml:mi><mml:mi>m</mml:mi></mml:mrow>
						<mml:annotation encoding='MathType-MTEF'>
						</mml:annotation>
					</mml:semantics>
				</mml:math>
				</inline-formula>, where
					<italic>Q</italic> is the discharge, <italic>Vm</italic> the mean flow speed,
				and <italic>A </italic>the mean transect area. The mean transect area was calculated
				by <inline-formula><mml:math>
					<mml:semantics>
						<mml:mrow>
							<mml:mo>=</mml:mo><mml:mstyle displaystyle='true'>
								<mml:mo>&#x2211;</mml:mo> <mml:mrow>
									<mml:msub>
										<mml:mi>A</mml:mi>
										<mml:mrow>
											<mml:mi>n</mml:mi><mml:mo>&#x0060;</mml:mo></mml:mrow>
									</mml:msub>
								</mml:mrow>
							</mml:mstyle></mml:mrow>
						<mml:annotation encoding='MathType-MTEF'>
						</mml:annotation>
					</mml:semantics>
				</mml:math>
				</inline-formula> , where <italic>A</italic> is
				the area of the transect, which is given by the sum of</p><disp-formula id = "e1"><mml:math>
					<mml:semantics>
						<mml:mrow>
							<mml:mfenced close="]" open="[">
								<mml:mrow>
									<mml:mfrac>
										<mml:mrow>
											<mml:mfenced>
												<mml:mrow>
													<mml:msub>
														<mml:mi>z</mml:mi>
														<mml:mn>1</mml:mn>
													</mml:msub>
													<mml:mo>+</mml:mo><mml:msub>
														<mml:mi>z</mml:mi>
														<mml:mn>1</mml:mn>
													</mml:msub>
												</mml:mrow>
											</mml:mfenced></mml:mrow>
										<mml:mn>2</mml:mn>
									</mml:mfrac>
								</mml:mrow>
							</mml:mfenced><mml:mo>*</mml:mo><mml:mi>w</mml:mi><mml:mo>+</mml:mo><mml:mfenced close="]" open="[">
								<mml:mrow>
									<mml:mfrac>
										<mml:mrow>
											<mml:mfenced>
												<mml:mrow>
													<mml:msub>
														<mml:mi>z</mml:mi>
														<mml:mn>2</mml:mn>
													</mml:msub>
													<mml:mo>+</mml:mo><mml:msub>
														<mml:mi>z</mml:mi>
														<mml:mn>3</mml:mn>
													</mml:msub>
												</mml:mrow>
											</mml:mfenced></mml:mrow>
										<mml:mn>2</mml:mn>
									</mml:mfrac>
								</mml:mrow>
							</mml:mfenced><mml:mo>*</mml:mo><mml:mi>w</mml:mi><mml:mo>+</mml:mo><mml:mn>...</mml:mn><mml:mfenced close="]" open="[">
								<mml:mrow>
									<mml:mfrac>
										<mml:mrow>
											<mml:mfenced>
												<mml:mrow>
													<mml:msub>
														<mml:mi>z</mml:mi>
														<mml:mi>n</mml:mi>
													</mml:msub>
													<mml:mo>+</mml:mo><mml:msub>
														<mml:mi>z</mml:mi>
														<mml:mi>n</mml:mi>
													</mml:msub>
													<mml:mo>+</mml:mo><mml:mn>1</mml:mn></mml:mrow>
											</mml:mfenced></mml:mrow>
										<mml:mn>2</mml:mn>
									</mml:mfrac>
								</mml:mrow>
							</mml:mfenced><mml:mo>*</mml:mo><mml:mi>w</mml:mi></mml:mrow>
					</mml:semantics>
				</mml:math>
				</disp-formula> <p>, where, <italic>Zn</italic> is the
				the measured depth of each segment, and <italic>w</italic> is the width of each
				segment. Accumulated monthly rainfall data were provided by the meteorological
				station of the Instituto Nacional de Meteorologia (<xref ref-type="bibr" rid="B30">INMET 2021</xref> – Station A248),
				located in the municipality of Capitão Poço (Fig. <bold><inline-supplementary-material mime-subtype="pdf" mimetype="application"
					xlink:href="1982-0224-ni-21-04-e220094-s1.pdf"
					>S1</inline-supplementary-material></bold>). We used the
				average monthly values of the environmental variables obtained for each stream for
				the statistical analysis.</p>
			<p>The specimens of <italic>Hyphessobrycon</italic><italic>heterorhabdus</italic> were collected
				from each 10 m longitudinal section for 12 min by three people using rectangular
				sieves (80 cm x 60 cm) with a 2 mm mesh. The individuals captured were euthanized
				with an overdose of Eugenol (6 ml / 3 L of water) and fixed in a 4% formalin
				solution in the field and preserved in 70% ethanol solution under vouchers numbers
				GEA.ICT 12101–12106 in the ichthyological collection of Grupo de Ecologia Aquática
				(GEA), Universidade Federal do Pará (UFPA), Belém, State of Pará, Brazil.</p>
			<p>In the laboratory, ten individuals were randomly selected from each stream every two months,
				resulting in 30 individuals per month and 180 individuals in total. The selected
				specimens were measured for their total weight (Wt) using an analytical balance with
				a precision of 0.0001g, and for their standard length (Ls) in millimeters using a
				caliper with 0.01 mm precision. The specimens were eviscerated through a
				longitudinal incision in the ventral region to remove the gonads, which were also
				weighed (Wg) with a precision of 0.0001 g and conditioned in 70% alcohol. Afterward,
				the specimens were checked for their eviscerated weight (Wevi) in grams.</p>
			<p>The gonads of the 180 individuals were assessed macroscopically to a previous definition of
				sex and gonadal maturation stage, following <xref ref-type="bibr" rid="B63">Vazzoler (1996)</xref>, and subsequently,
				subjected to routine histological analysis, following <xref ref-type="bibr" rid="B48">Prophet <italic>et
				al</italic>. (1995)</xref>. Considering that mature females are easily identifiable
				macroscopically because of the size of the gonad and the large number of oocytes,
				only three gonads from females at this stage were subjected to histological analysis
				to corroborate the previously identification of the stage. The microscopic
				definition of the sex and gonadal maturation stages was based on the presence and
				frequency of different types of cells of oogenic and spermatogenic lineages based on
				the classification proposed by <xref ref-type="bibr" rid="B41">Núñez, Duponchelle (2009)</xref>.</p>
			<p>Males were classified into four stages:1) immature, characterized by the presence of
				undifferentiated germ cells and spermatogonia surrounded by a large amount of
				connective tissue; 2) maturing, characterized by the presence of spermatogonia
				located along the seminiferous tubules, spermatocytes, spermatids, and a small
				amount of spermatozoids; 3) mature, characterized by the presence of a large number
				of spermatozoids in the lumen of the tubule; and 4) spent, characterized by the
				presence of practically empty seminiferous tubules and a few residual
				spermatozoids.</p>
			<p> The females were classified into five gonadal stages:1) immature, characterized by the
				predominance of previtellogenic oocytes (stage I), which present a basophilic
				homogenous ooplasm, large central nuclei with central or sub-central nucleoli, and a
				high nucleoplasmic ratio; 2) maturing: characterized by the presence of
				previtellogenic oocytes (stage I), with a predominance of oocyte in early
				vitellogenesis (stage II). The latter is distinguished from stage I oocytes by the
				presence of cortical alveoli. Oocytes in advanced vitellogenesis (stage III) can
				also be observed at this stage of gonadal maturation, which is characterized by the
				presence of the chorion being clearly visible, folicular cells and the theca
				generally well developed; the nucleus or germinal vesicle is still visible and
				located in a central position; 3) mature: characterized by the predominance of stage
				IV oocytes, which are characterized by cytoplasm filled with large yolk globules.
				Previtelogenic (stage I) and early vitellogenic (stage II) oocytes were also
				observed at a low frequency during this stage of gonadal maturation; 4) spawned:
				characterized by the presence of previtellogenic oocytes (Stage I) and new batches
				of vitellogenic oocytes (stage II and III), which makes the ovary partially filled.
				Post-ovulatory follicles and some atretic oocytes were also found in this gonadal
				maturation stage; 5) resting: It presents characteristics similar to those of an
				immature female, with a predominance of previtellogenic oocytes (stage I),
				distinguishing it from this gonadal stage by the presence of a thicker ovarian wall.
				Some atretic follicles were also observed in this gonadal stage. </p>
			<p><bold>Reproductive traits.</bold> The proportion of males and females in the population was
				evaluated for the whole study period and each month. Differences in this sex ratio
				were tested using the Chi-square test (χ2) of adherence, considering as the null
				hypothesis that the sex ratio of this population does not differ from 1:1, as
				proposed by <xref ref-type="bibr" rid="B63">Vazzoler (1996)</xref>.</p>
			<p>The period of reproductive activity of the population of <italic>Hyphessobrycon
					heterorhabdus</italic> was evaluated through the Gonadosomatic Index (GSI) and
				the variation in the frequency of maturation stages over the sampled period. The GSI
				was obtained through the equation, <inline-formula><mml:math>
					<mml:semantics>
						<mml:mrow>
							<mml:mi>G</mml:mi><mml:mi>S</mml:mi><mml:mi>I</mml:mi><mml:mo>=</mml:mo><mml:mi>W</mml:mi><mml:mi>g</mml:mi><mml:mo>/</mml:mo><mml:mi>W</mml:mi><mml:mi>t</mml:mi><mml:mo>*</mml:mo><mml:mn>100</mml:mn></mml:mrow>
						<mml:annotation encoding='MathType-MTEF'>
						</mml:annotation>
					</mml:semantics>
				</mml:math></inline-formula>, where <italic>Wg</italic> is the
				gonad weight and <italic>Wt</italic> is the individual's total weight. The GSI
				values ​​were verified for the statistical assumptions of normality and
				homoscedasticity and tested for their variation between the studied months using the
				non-parametric Kruskal Wallis test followed by a Wilcoxon multiple comparison test.
				This test was performed separately for males and females and disregarded immature
				specimens.</p>
			<p>The growth pattern of <italic>Hyphessobrycon heterorhabdus</italic> was evaluated through the
				weight-length relationships of the individuals and followed the model proposed by
				<xref ref-type="bibr" rid="B31">Järvi (1920)</xref> (see <xref ref-type="bibr" rid="B23">Froese, 2006</xref>), <inline-formula><mml:math>
					<mml:semantics>
						<mml:mrow>
							<mml:mi>W</mml:mi><mml:mi>t</mml:mi><mml:mo>=</mml:mo><mml:mi>a</mml:mi><mml:mo>*</mml:mo><mml:msubsup>
								<mml:mi>L</mml:mi>
								<mml:mi>s</mml:mi>
								<mml:mi>b</mml:mi>
							</mml:msubsup>
						</mml:mrow>
						<mml:annotation encoding='MathType-MTEF'>
						</mml:annotation>
					</mml:semantics>
				</mml:math>
				</inline-formula>, where <italic>Wt</italic> is the individual total weight; <inline-formula><mml:math>
					<mml:semantics>
						<mml:mrow>
							<mml:msub>
								<mml:mi>L</mml:mi>
								<mml:mi>s</mml:mi>
							</mml:msub>
						</mml:mrow>
						<mml:annotation encoding='MathType-MTEF'>
						</mml:annotation>
					</mml:semantics>
				</mml:math>
				</inline-formula> the individual standard length;
					<italic>a</italic> is the proportionality coefficient, and <italic>b</italic>
				the allometric coefficient. To verify possible differences in the growth pattern
				between the sexes, the residuals of this relationship were evaluated according to
				the statistical assumptions of normality and homoscedasticity and tested between
				males and females using a Mann-Whitney U test. In case of significant differences,
				the weight-length relationship was evaluated separately for males and females, and
				the residues of this relationship were tested using a linear regression model to
				verify a possible non-random pattern of variation. In the case of non-random
				patterns, the weight-length relationship was adjusted through a polyphasic model
				proposed by <xref ref-type="bibr" rid="B7">Bervian <italic>et al.</italic> (2006)</xref>.</p>
			<p>The polyphasic model consists of using parameters <italic>a</italic> and <italic>b</italic> of
				the <xref ref-type="bibr" rid="B27">Huxley equation (1924)</xref>, <inline-formula><mml:math>
					<mml:semantics>
						<mml:mrow>
							<mml:mi>y</mml:mi><mml:mo>+</mml:mo><mml:mi>f</mml:mi><mml:mfenced>
								<mml:mi>a</mml:mi>
							</mml:mfenced><mml:mo>*</mml:mo><mml:msup>
								<mml:mi>x</mml:mi>
								<mml:mrow>
									<mml:mi>f</mml:mi><mml:mfenced>
										<mml:mi>b</mml:mi>
									</mml:mfenced></mml:mrow>
							</mml:msup>
						</mml:mrow>
						<mml:annotation encoding='MathType-MTEF'>
						</mml:annotation>
					</mml:semantics>
				</mml:math>
				</inline-formula>,
				where <inline-formula><mml:math>
					<mml:semantics>
						<mml:mrow>
							<mml:mi>f</mml:mi><mml:mfenced>
								<mml:mi>a</mml:mi>
							</mml:mfenced><mml:mo>=</mml:mo><mml:msub>
								<mml:mi>a</mml:mi>
								<mml:mn>1</mml:mn>
							</mml:msub>
							<mml:mo>+</mml:mo><mml:mfrac>
								<mml:mrow>
									<mml:mfenced>
										<mml:mrow>
											<mml:msub>
												<mml:mi>a</mml:mi>
												<mml:mn>2</mml:mn>
											</mml:msub>
											<mml:mo>+</mml:mo><mml:msub>
												<mml:mi>a</mml:mi>
												<mml:mn>1</mml:mn>
											</mml:msub>
										</mml:mrow>
									</mml:mfenced></mml:mrow>
								<mml:mn>1</mml:mn>
							</mml:mfrac>
							<mml:mo>+</mml:mo><mml:msup>
								<mml:mi>e</mml:mi>
								<mml:mrow>
									<mml:mi>R</mml:mi><mml:mi>S</mml:mi><mml:mi>C</mml:mi><mml:mi>a</mml:mi><mml:mo>*</mml:mo><mml:mfenced>
										<mml:mrow>
											<mml:mi>L</mml:mi><mml:mi>s</mml:mi><mml:mo>&#x2212;</mml:mo><mml:mi>L</mml:mi><mml:mi>S</mml:mi><mml:mi>C</mml:mi></mml:mrow>
									</mml:mfenced></mml:mrow>
							</mml:msup>
						</mml:mrow>
						<mml:annotation encoding='MathType-MTEF'>
						</mml:annotation>
					</mml:semantics>
				</mml:math>
				</inline-formula>  and <inline-formula><mml:math>
					<mml:semantics>
						<mml:mrow>
							<mml:mi>f</mml:mi><mml:mfenced>
								<mml:mi>b</mml:mi>
							</mml:mfenced><mml:mo>=</mml:mo><mml:msub>
								<mml:mi>b</mml:mi>
								<mml:mn>1</mml:mn>
							</mml:msub>
							<mml:mo>+</mml:mo><mml:mfrac>
								<mml:mrow>
									<mml:mfenced>
										<mml:mrow>
											<mml:msub>
												<mml:mi>b</mml:mi>
												<mml:mn>2</mml:mn>
											</mml:msub>
											<mml:mo>+</mml:mo><mml:msub>
												<mml:mi>b</mml:mi>
												<mml:mn>1</mml:mn>
											</mml:msub>
										</mml:mrow>
									</mml:mfenced></mml:mrow>
								<mml:mn>1</mml:mn>
							</mml:mfrac>
							<mml:mo>+</mml:mo><mml:msup>
								<mml:mi>e</mml:mi>
								<mml:mrow>
									<mml:mi>R</mml:mi><mml:mi>S</mml:mi><mml:mi>C</mml:mi><mml:mi>b</mml:mi><mml:mo>*</mml:mo><mml:mfenced>
										<mml:mrow>
											<mml:mi>L</mml:mi><mml:mi>s</mml:mi><mml:mo>&#x2212;</mml:mo><mml:mi>L</mml:mi><mml:mi>S</mml:mi><mml:mi>C</mml:mi></mml:mrow>
									</mml:mfenced></mml:mrow>
							</mml:msup>
						</mml:mrow>
						<mml:annotation encoding='MathType-MTEF'>
						</mml:annotation>
					</mml:semantics>
				</mml:math>
				</inline-formula>. The parameters <italic>a1
				</italic>and <italic>b1</italic> represent the coefficients of proportionality and
				allometry determined in the first growth phase, and <italic>a2</italic> and
					<italic>b2</italic> are the same coefficients determined in the second growth
				phase. <italic>RSC</italic> (<italic>a/b</italic>) is the rate of change of the
				coefficients between the first and the second growth phase, and <italic>LSC</italic>
				is the standard length when the change in the growth pattern occurs.</p>
			<p>The allometric condition factor (K) of each specimen, which reflects the balance between
				energy acquired through feeding and spent on activities such as reproduction and
				ecological interactions (<xref ref-type="bibr" rid="B9">Braga, 1986</xref>), was estimated through the equation <inline-formula><mml:math>
					<mml:semantics>
						<mml:mrow>
							<mml:mi>K</mml:mi><mml:mo>+</mml:mo><mml:mi>W</mml:mi><mml:mi>e</mml:mi><mml:mi>v</mml:mi><mml:mi>i</mml:mi><mml:mo>/</mml:mo><mml:mi>L</mml:mi><mml:msup>
								<mml:mi>s</mml:mi>
								<mml:mi>b</mml:mi>
							</mml:msup>
						</mml:mrow>
						<mml:annotation encoding='MathType-MTEF'>
						</mml:annotation>
					</mml:semantics>
				</mml:math>
				</inline-formula>, where <italic>Wevi </italic>is the
				eviscerated body weight obtained from the total mass of the specimen subtracting the
				weight of the gonad (Wg) and stomach (We); <italic>Ls</italic> is the standard
				length and <italic>b</italic> the allometric coefficient obtained through the
				weight-length relationship. K values ​​were obtained separately for males and
				females, evaluated according to the statistical assumptions of normality and
				homoscedasticity and submitted to a Kruskal-Wallis test to verify its variation
				between the months sampled, followed by a Wilcoxon multiple comparisons test. In the
				case of polyphasic growth, the individuals had their allometric condition factor (K)
				calculated based on the allometric coefficient of their respective lengths.</p>
			<p>The mean length where 50% (<italic>L50</italic>) and 100% (<italic>L100</italic>) of
				population to reach sexual maturity was obtained separately for males and females
				through the logistic equations <inline-formula><mml:math>
						<mml:semantics>
							<mml:mrow>
								<mml:mi>P</mml:mi>
								<mml:mo>=</mml:mo>
								<mml:mi>A</mml:mi>
								<mml:mo>*</mml:mo>
								<mml:msup>
									<mml:mrow>
										<mml:mfenced>
											<mml:mrow>
												<mml:mn>1</mml:mn>
												<mml:mo>+</mml:mo>
												<mml:msup>
												<mml:mi>e</mml:mi>
												<mml:mrow>
												<mml:mi>r</mml:mi>
												<mml:mo>*</mml:mo>
												<mml:mfenced>
												<mml:mrow>
												<mml:mi>L</mml:mi>
												<mml:mi>s</mml:mi>
												<mml:mo>&#x2212;</mml:mo>
												<mml:mo stretchy="false">(</mml:mo>
												<mml:mi>L</mml:mi>
												<mml:mn>50</mml:mn>
												</mml:mrow>
												</mml:mfenced>
												</mml:mrow>
												</mml:msup>
											</mml:mrow>
										</mml:mfenced>
									</mml:mrow>
									<mml:mrow>
										<mml:mo>&#x2212;</mml:mo>
										<mml:mn>1</mml:mn>
									</mml:mrow>
								</mml:msup>
							</mml:mrow>
							<mml:annotation encoding="MathType-MTEF"> </mml:annotation>
						</mml:semantics>
					</mml:math>
				</inline-formula> and <inline-formula><mml:math>
						<mml:semantics>
							<mml:mrow>
								<mml:mi>P</mml:mi>
								<mml:mo>=</mml:mo>
								<mml:mi>A</mml:mi>
								<mml:mo>*</mml:mo>
								<mml:msup>
									<mml:mrow>
										<mml:mfenced>
											<mml:mrow>
												<mml:mn>1</mml:mn>
												<mml:mo>+</mml:mo>
												<mml:msup>
												<mml:mi>e</mml:mi>
												<mml:mrow>
												<mml:mi>r</mml:mi>
												<mml:mo>*</mml:mo>
												<mml:mfenced>
												<mml:mrow>
												<mml:mi>L</mml:mi>
												<mml:mi>s</mml:mi>
												<mml:mo>&#x2212;</mml:mo>
												<mml:mi>L</mml:mi>
												<mml:mn>100</mml:mn>
												</mml:mrow>
												</mml:mfenced>
												</mml:mrow>
												</mml:msup>
											</mml:mrow>
										</mml:mfenced>
									</mml:mrow>
									<mml:mrow>
										<mml:mo>&#x2212;</mml:mo>
										<mml:mn>1</mml:mn>
									</mml:mrow>
								</mml:msup>
							</mml:mrow>
							<mml:annotation encoding="MathType-MTEF"> </mml:annotation>
						</mml:semantics>
					</mml:math>
				</inline-formula> respectively, where <italic>P</italic> is the proportion of adult
				individuals, <italic>A</italic> is the proportionality coefficient,
					<italic>r</italic> is the phase change rate parameter (from juveniles to
				adults), <italic>Ls</italic> is the standard length in mm, and <italic>L₅₀
					</italic>and<italic> L100</italic>, are the mean length at sexual maturation of
				50% and 100% of the population respectively. A length class with an amplitude of 2
				mm for this analysis was defined. Both equations were adjusted using the Solver
				routine of the Microsoft Office Excel 2016® software.</p>
			<p>The spawning type and fecundity of <italic>Hyphessobrycon heterorhabdus</italic> were defined
				by considering ten randomly selected mature gonads. The spawning type was defined
				based on the frequency distribution of oocyte diameters, macroscopically measured,
				and corroborated by the assessment of the frequency of occurrence of different
				phases of oocyte development in the histological sections. The oocytes were manually
				dissociated and subsequently photographed using a Motic stereomicroscope, model
				BA310E (zoom 40x), equipped with a camera. The diameter of the oocytes was measured
				using ImageJ® software with a spherical object of known diameter as a reference. The
				fecundity of <italic>H. heterorhabdus</italic> was estimated considering the number
				of vitellogenic oocytes, defined as oocytes in stage IV of maturation (<xref ref-type="bibr" rid="B41">Núñez,
				Duponchelle, 2009</xref>). Macroscopically, vitellogenic oocytes were distinguished from
				the other oocytes because they were larger, fuller, and yellowish. In addition, only
				oocytes with a diameter greater than the smallest microscopically identified
				vitellogenic oocyte (stage IV) were used for fecundity estimation. Oocyte count was
				also performed under a stereomicroscope, 40x zoom.</p>
			<p><bold>Effects of environment variables.</bold> To verify the predictive capacity of the
				physicochemical variables of water and the physical habitat in the reproductive
				activity of <italic>H. heterorhabdus</italic>, the variables was submitted to a
				Multiple Linear Regression Model (MLR), with GSI as the response variable. The
				selection of the variables with the highest predictor capacity of the GSI variation
				was validated through the Akaike selection criterion (AIC) (<xref ref-type="bibr" rid="B74">Zuur <italic>et
					al.</italic>, 2009</xref>). The best model, according to AIC criteria, was used to
				interpret the relationships between reproductive activity and environmental
				variables. The analysis was run separately for males and females, considering a
				significance level of 5%, with R 4.1.1 software, using the MuMIn (<xref ref-type="bibr" rid="B12">Bartoń, 2020</xref>), Car
				(<xref ref-type="bibr" rid="B22">Fox, Weisberg, 2019</xref>), and Vegan (<xref ref-type="bibr" rid="B43">Oksanen <italic>et al.</italic>, 2020</xref>)
				packages.</p>
		</sec>
		<sec sec-type="results">
			<title>RESULTS</title>
			<p>Considering the whole sample period, the streams presented an average value of 60.31% of
				dissolved oxygen, an average Electrical Conductivity of 22.60 μS/cm-1, pH of 5.60
				and temperature of 26.28 °C. Concerning the channel morphology, the streams
				presented an average wetted width of 2.68 m, thalweg depth of 38.05 cm, and flow
				speed of 0.12 m/s. The average percentage of structured substrate was 67.62%. The
				variation of these environmental characteristics in the different sampling months
				can be seen in the Fig. <bold><inline-supplementary-material mime-subtype="pdf" mimetype="application"
					xlink:href="1982-0224-ni-21-04-e220094-s2.pdf"
					>S2</inline-supplementary-material></bold>.</p>
			<p>Of the 180 analyzed specimens, 111 were male and 69 females. Males presented a mean standard
				length (Ls) of 20.65 mm (varying from 11.63 mm to 26.88 mm), while the females
				presented a mean standard length of 23.01 mm (varying from 12.68 mm to 32.57 mm).
				The population showed a difference in the sexual proportion between males and
				females for the sampled period (χ2 = 8.88; df = 2; p &lt; 0.05), with 1.6 males for
				each female. In the assessment by month, only January showed a difference in the
				sexual proportion (χ2 = 4.8; df = 2; p &lt; 0.05), with 2.3 males for each female
				(<xref ref-type="fig" rid="f2">Fig. 2</xref>).</p>
			<fig id="f2">
				<label>FIGURE 2 |</label>
				<caption>
					<title>Sex ratio of <italic>Hyphessobrycon heterorhabdus</italic> sampled between March 2019
						and January 2020 in the Guamá River basin, Eastern Amazon, State of Pará,
						Brazil. Asterisk represents significant differences in sex ratio and the
						dashed line represents the accumulated monthly rainfall.</title>
				</caption>
				<graphic xlink:href="1982-0224-ni-21-04-e220094-gf2.jpg"/>
			</fig>
			<p>Gonadal maturation activity, based on Gonadosomatic Index (GSI) values, differed for males
				(H(5;75) = 25.913; p &lt; 0.05) and females (H(5;50) = 21.65; p &lt; 0.05) of
					<italic>H. heterorhabdus</italic> between the sampled months. The specimens
				recorded the highest gonadal maturation activity between March and May 2019, with a
				decrease in gonadal maturation activity from July 2019 on and reaching their lowest
				average values ​​between September and November 2019. A resumption of gonadal
				maturation was observed in January 2020. According to the multiple comparison test,
				for males, the months of the period with the highest intensity of rainfall (March
				and May) differed from the two months with the lowest intensity of rainfall
				(September and November). Therefore, differences were also evidenced between January
				and March (<xref ref-type="fig" rid="f3">Fig. 3A</xref>). For females, the values ​​of GSI of the period with the highest
				intensity of rainfall (March and May) also differed from the two months with the
				lowest intensity of rainfall (September and November). Nevertheless, January also
				differed from September (<xref ref-type="fig" rid="f3">Fig. 3B</xref>).</p>
			<p>Variations in the frequency of the stages of gonadal maturation evidenced, for both sexes, a
				predominance of mature individuals in March 2019 (males = 63.15%; females = 63.63%),
				a higher frequency of immature between May (males = 35%; females = 30%) and July
				(males = 37.5%; females = 21.40%) and a higher frequency of maturing individuals in
				September (males = 43.7%; females = 71.40%). Spent males were recorded throughout
				the entire period studied, with a lower frequency in March 2019 (5.20%) and a higher
				frequency in January 2020 (38.00%) (<xref ref-type="fig" rid="f3">Fig. 3C</xref>). Females of <italic>H.
					heterorhabdus</italic> also showed a higher predominance of gonads in the
				spawned stage in January (77.7%). Finally, resting females were observed only in
				September (14.28%) (<xref ref-type="fig" rid="f3">Fig. 3D</xref>).</p>
			<fig id="f3">
				<label>FIGURE 3 |</label>
				<caption>
					<title>Gonadosomatic Index Variation (GSI) of males (<bold>A</bold>) and females
							(<bold>B</bold>) and gonadal maturation stage of males (<bold>C</bold>)
						and females (<bold>D</bold>) of <italic>Hyphessobrycon
							heterorhabdus</italic> sampled between March 2019 and January 2020 in
						the Guamá River basin, Eastern Amazon, State of Pará, Brazil. The dashed
						line represents the accumulated monthly rainfall.</title>
				</caption>
				<graphic xlink:href="1982-0224-ni-21-04-e220094-gf3.jpg"/>
			</fig>
			<p><italic>Hyphessobrycon heterorhabdus</italic> showed differences in growth patterns between
				males and females (W = 4723; df = 108; p &lt; 0.05). Males showed positive
				allometric growth in a single phase represented by the model <inline-formula><mml:math>
					<mml:semantics>
						<mml:mrow>
							<mml:mi>W</mml:mi><mml:mi>t</mml:mi><mml:mo>=</mml:mo><mml:mn>0.0000126</mml:mn><mml:mo>*</mml:mo><mml:mi>L</mml:mi><mml:msup>
								<mml:mi>s</mml:mi>
								<mml:mrow>
									<mml:mn>3.12</mml:mn></mml:mrow>
							</mml:msup>
						</mml:mrow>
						<mml:annotation encoding='MathType-MTEF'>
						</mml:annotation>
					</mml:semantics>
				</mml:math>
				</inline-formula> (R² = 0.95) (Fig. <bold><inline-supplementary-material mime-subtype="pdf" mimetype="application"
					xlink:href="1982-0224-ni-21-04-e220094-s3.pdf"
					>S3</inline-supplementary-material></bold>),
				while females showed negative allometric growth in two phases (Fig.
				<bold><inline-supplementary-material mime-subtype="pdf" mimetype="application"
					xlink:href="1982-0224-ni-21-04-e220094-s3.pdf"
					>S3</inline-supplementary-material></bold>), with the first phase represented by model <inline-formula><mml:math>
					<mml:semantics>
						<mml:mrow>
							<mml:mi>W</mml:mi><mml:mi>t</mml:mi><mml:mo>=</mml:mo><mml:mn>0.0001350</mml:mn><mml:mo>*</mml:mo><mml:mi>L</mml:mi><mml:msup>
								<mml:mi>s</mml:mi>
								<mml:mrow>
									<mml:mn>2.29</mml:mn></mml:mrow>
							</mml:msup>
						</mml:mrow>
						<mml:annotation encoding='MathType-MTEF'>
						</mml:annotation>
					</mml:semantics>
				</mml:math>
				</inline-formula> (R² = 0.93), up to 20.71 mm, and the
				second phase represented by the model <inline-formula><mml:math>
					<mml:semantics>
						<mml:mrow>
							<mml:mi>W</mml:mi><mml:mi>t</mml:mi><mml:mo>=</mml:mo><mml:mn>0.0000817</mml:mn><mml:mo>*</mml:mo><mml:mi>L</mml:mi><mml:msup>
								<mml:mi>s</mml:mi>
								<mml:mrow>
									<mml:mn>2.59</mml:mn></mml:mrow>
							</mml:msup>
						</mml:mrow>
						<mml:annotation encoding='MathType-MTEF'>
						</mml:annotation>
					</mml:semantics>
				</mml:math>
				</inline-formula> (R² = 0.93).</p>
			<p>The allometric condition factor (K) varied between the months sampled both for males (H (5;
				75) = 14, p &lt; 0.05) and females (H (5; 50) = 12.482; p &lt; 0. 05). In both
				sexes, an increase in this parameter was observed between July and September,
				followed by a decrease in November, which was more marked in females, and a new rise
				in January. According to the multiple comparison test, for males, it was evidenced
				that the months with the highest rainfall (March and May) differed from the month
				with the lowest rainfall (September) and the month in which rainfall stars to
				increase (January). However, differences were also observed between March and July
				(<xref ref-type="fig" rid="f4">Fig. 4A</xref>). For females, the K values ​​of the period with higher rainfall
				(March–May) also differed from the month with lower rainfall (September). However,
				January also differed from March (<xref ref-type="fig" rid="f4">Fig. 4B</xref>).</p>
			<p>The lengths where 50% (<italic>L50</italic>) and 100% (<italic>L100</italic>) of the
				population reached sexual maturity for males of <italic>H. heterorhabdus</italic>
				were 18.0 mm and 22.0 mm, respectively (<xref ref-type="fig" rid="f5">Fig. 5A</xref>). For females, <italic>L50</italic>
				was 19.7 mm, which was 1.7 mm higher than that of males, with a
				<italic>L100</italic> of 27.0 mm, which was 5 mm higher than that of males (<xref ref-type="fig" rid="f5">Fig.
				5B</xref>).</p>
			<fig id="f4">
				<label>FIGURE 4 |</label>
				<caption>
					<title>Variation of Condition Factor (K) for males (<bold>A</bold>) and females
						(<bold>B</bold>) of <italic>Hyphessobrycon heterorhabdus</italic> sampled
						between March 2019 and January 2020 in the Guamá River basin, Eastern
						Amazon, State of Pará, Brazil. The dashed line represents the accumulated
						monthly rainfall.</title>
				</caption>
				<graphic xlink:href="1982-0224-ni-21-04-e220094-gf4.jpg"/>
			</fig>
			<fig id="f5">
				<label>FIGURE 5 |</label>
				<caption>
					<title>Estimated standard length where 50% (<italic>L50</italic>) and 100%
							(<italic>L100</italic>) of the population reached sexual maturity for
						males (<bold>A</bold>) and females (<bold>B</bold>) of
							<italic>Hyphessobrycon heterorhabdus</italic> sampled between March 2019
						and January 2020 in streams of the Guamá River basin, Eastern Amazon, State
						of Pará, Brazil.</title>
				</caption>
				<graphic xlink:href="1982-0224-ni-21-04-e220094-gf5.jpg"/>
			</fig>
			<p>The total number of oocytes at different developmental stages in mature females ranged from
				176 to 655 (324 ±161; n = 10), with a diameter between 0.120 mm and 0.650 mm. A
				bimodal distribution of oocyte diameter frequency was detected with at least two
				batches of oocytes at different stages of development (<xref ref-type="fig" rid="f6">Fig. 6A</xref>). The presence of
				oocytes at different developmental stages of maturation can also be visualized
				through macroscopic analysis of the mature ovaries of <italic>H.
					heterorhabdus</italic> (<xref ref-type="fig" rid="f6">Fig. 6B</xref>). Histological sections revealed oocytes at all
				stages of maturation, indicating a continuous release of oocytes after reaching
				sexual maturity, reinforcing the idea of batch spawning in this species. The mean
				fecundity was 197 vitellogenic oocytes (179 ± 110) with a range between 108 to 420
				oocytes, whose diameter varied from 0.242 mm to 0.650 mm.</p>
			<fig id="f6">
				<label>FIGURE 6 |</label>
				<caption>
					<title>Variation in the oocyte diameter of <italic>Hyphessobrycon heterorhabdus</italic>
						sampled between March 2019 and January 2020 in streams of the Guamá River
						basin, Eastern Amazon, State of Pará, Brazil (<bold>A</bold>). The dashed
						black line indicates the minimum diameter of the vitellogenic oocytes.
						Mature ovary with oocytes in different stages of maturation
						(<bold>B</bold>). Photomicrograph of mature (<bold>C</bold>) and spawned
							(<bold>D</bold>) ovary with oocytes in different stages of maturation:
						I, stage I oocyte; II, stage II oocyte; III, stage III oocyte; IV, stage IV
						oocyte; AO, atretic oocyte; POF, post ovulatory follicle.</title>
				</caption>
				<graphic xlink:href="1982-0224-ni-21-04-e220094-gf6.jpg"/>
			</fig>
			<p>Considering the global Multiple Linear Regression Model (MLR) (Tab. <bold><inline-supplementary-material mime-subtype="pdf" mimetype="application"
				xlink:href="1982-0224-ni-21-04-e220094-s4.pdf"
				>S4</inline-supplementary-material></bold>), followed
				by the Akaike Information Criterion (AIC), the variables with the greatest
				predictive capacity of variation in the GSI of males were water temperature,
				electrical conductivity, and stream discharge (Tab. <bold><inline-supplementary-material mime-subtype="pdf" mimetype="application"
					xlink:href="1982-0224-ni-21-04-e220094-s5.pdf"
					>S5</inline-supplementary-material></bold>). According to
				the selected model, these variables explained 10.74% of the variation in the GSI (p
				&lt; 0.05) (<xref ref-type="table" rid="t1">Tab. 1</xref>). For females, the MLR highlighted the percentage of structured
				substrate and dissolved oxygen as the variables with the best predictive capacity
				for GSI variation (Tab. <bold><inline-supplementary-material mime-subtype="pdf" mimetype="application"
					xlink:href="1982-0224-ni-21-04-e220094-s6.pdf"
					>S6</inline-supplementary-material></bold>). According to the selected model, these
				variables explained 29.47% of the variation in the GSI of females (p &lt; 0.05)
				(<xref ref-type="table" rid="t1">Tab. 1</xref>).</p>
			<table-wrap id="t1">
				<label>TABLE 1 | </label>
				<caption>
					<title>Multiple Linear Regression Model showing the effects of the environmental variables in
						the Gonadosomatic Index variation (GSI) of male and female
							<italic>Hyphessobrycon heterorhabdus</italic> sampled between March 2019
						and January 2020 in streams of the Guamá River basin, Eastern Amazon, State
						of Pará, Brazil.</title>
				</caption>
				<table>
					<tbody>
						<tr>
							<td rowspan="1" colspan="1" align="center"><bold>Response
									Variable</bold></td>
							<td rowspan="1" colspan="1" align="center"><bold>Multiple
									regression</bold></td>
							<td rowspan="1" colspan="1" align="center"><bold>Environmental
									variables</bold></td>
							<td rowspan="1" colspan="1" align="center"
									><bold><italic>ß</italic></bold></td>
							<td rowspan="1" colspan="1" align="center"><bold>SE of
										<italic>ß</italic></bold></td>
							<td rowspan="1" colspan="1" align="center"
									><bold><italic>t</italic></bold></td>
							<td rowspan="1" colspan="1" align="center"
									><bold><italic>p</italic></bold></td>
						</tr>
						<tr>
							<td rowspan="3" colspan="1" align="center">Males GSI</td>
							<td rowspan="3" colspan="1" align="center">
								<p>R2=0.1074; </p>
								<p><italic>F(</italic>3,90)= 4.73, p&lt;0.01</p>
							</td>
							<td rowspan="1" colspan="1" align="center">Water temperature</td>
							<td rowspan="1" colspan="1" align="center">0.5925</td>
							<td rowspan="1" colspan="1" align="center">0.1592</td>
							<td rowspan="1" colspan="1" align="center">3.721</td>
							<td rowspan="1" colspan="1" align="center">0.00034</td>
						</tr>
						<tr>
							<td rowspan="1" colspan="1" align="center">Electrical Conductivity</td>
							<td rowspan="1" colspan="1" align="center">-0.0820</td>
							<td rowspan="1" colspan="1" align="center">0.0383</td>
							<td rowspan="1" colspan="1" align="center">-2.141</td>
							<td rowspan="1" colspan="1" align="center">0.03495</td>
						</tr>
						<tr>
							<td rowspan="1" colspan="1" align="center">Stream Discharge</td>
							<td rowspan="1" colspan="1" align="center">-3.3458</td>
							<td rowspan="1" colspan="1" align="center">1.7555</td>
							<td rowspan="1" colspan="1" align="center">-1.906</td>
							<td rowspan="1" colspan="1" align="center">0.05985</td>
						</tr>
						<tr>
							<td rowspan="2" colspan="1" align="center">Females GSI</td>
							<td rowspan="2" colspan="1" align="center">
								<p>R2=0.2947; </p>
								<p><italic>F</italic>(2,60) = 13.95, p&lt;0.01</p>
							</td>
							<td rowspan="1" colspan="1" align="center">Structural complexity of the
								substrate</td>
							<td rowspan="1" colspan="1" align="center">-0.0561</td>
							<td rowspan="1" colspan="1" align="center">0.0233</td>
							<td rowspan="1" colspan="1" align="center">-2.408</td>
							<td rowspan="1" colspan="1" align="center">0.01915</td>
						</tr>
						<tr>
							<td rowspan="1" colspan="1" align="center">Dissolved Oxygen</td>
							<td rowspan="1" colspan="1" align="center">0.0357</td>
							<td rowspan="1" colspan="1" align="center">0.0078</td>
							<td rowspan="1" colspan="1" align="center">4.602</td>
							<td rowspan="1" colspan="1" align="center">0.00002</td>
						</tr>
					</tbody>
				</table>
			</table-wrap>
		</sec>
		<sec sec-type="discussion">
			<title>DISCUSSION</title>
			<p>The flag tetra <italic>Hyphessobrycon heterorhabdus</italic> showed reproductive activity
				throughout the studied period, with a pronounced activity of gonadal maturation
				between March and May 2019. The GSI values ​​of females were positively associated
				with the percentage of structured substrate and mean values ​​of dissolved oxygen.
				For males, the GSI values were positively associated with water temperature,
				electrical conductivity and stream discharge. The response to environmental
				variations was more evident for females than males.</p>
			<p>The sex ratio between males and females provides basic information about the reproductive
				dynamics of a population (<xref ref-type="bibr" rid="B63">Vazzoler, 1996</xref>; <xref ref-type="bibr" rid="B72">Wootton, 1999</xref>; <xref ref-type="bibr" rid="B65">Vicentini, Araújo, 2003</xref>).
				Although a 1:1 male to female ratio is expected in a natural environment, this can
				vary throughout the species’ life cycle due to factors such as mortality, growth
				rate, and behavior (<xref ref-type="bibr" rid="B51">Raposo, Gurgel, 2001</xref>; <xref ref-type="bibr" rid="B65">Vicentini, Araújo, 2003</xref>; <xref ref-type="bibr" rid="B19">Fagundes
					<italic>et al</italic>., 2020</xref>). In the present study, the higher proportion of
				males in periods of higher reproductive activity indicates the possibility of
				oocytes from a single female to be fertilized by spermatozoa from more than one
				male, thus increasing the genetic variability of this population, as suggested by
				<xref ref-type="bibr" rid="B73">Wootton <italic>et al</italic>. (1978</xref>).</p>
			<p>Regarding gonadal maturation, <italic>Hyphessobrycon heterorhabdus</italic> showed
				reproductive activity throughout the sampling cycle, with greater intensity between
				March and May. According to <xref ref-type="bibr" rid="B2">Azevedo (2010)</xref>, 20% of small characids have a long
				reproductive period that can last up to six months, which is strongly associated
				with an opportunistic strategy (<xref ref-type="bibr" rid="B67">Winemiller, 1989</xref>; <xref ref-type="bibr" rid="B70">Winemiller, Rose, 1992</xref>). Fish with
				this strategy are also characterized by having reduced body size, early sexual
				maturation size, multiple spawning, and low fecundity (<xref ref-type="bibr" rid="B67">Winemiller, 1989</xref>) and are
				common in stream ecosystems (<xref ref-type="bibr" rid="B33">Kramer, 1978</xref>). Long reproductive periods also
				contribute to the increase in population density (<xref ref-type="bibr" rid="B69">Winemiller <italic>et
				al</italic>., 2008</xref>), corroborating the fact that this species is among the most
				abundant in streams of the Eastern Amazon, even in areas that are affected by
				anthropogenic activities (<xref ref-type="bibr" rid="B21">Ferreira <italic>et al</italic>., 2018</xref>; <xref ref-type="bibr" rid="B49">Prudente
					<italic>et al</italic>., 2018</xref>; <xref ref-type="bibr" rid="B54">Santos <italic>et al</italic>., 2019</xref>).</p>
			<p>About <italic>L50</italic>, males showed a smaller size at first sexual maturation than
				females. This pattern is typical in Neotropical characids, such as <italic>Astyanax
					scabripinnis</italic> (Jenyns, 1842) (<xref ref-type="bibr" rid="B64">Veregue, Orsi, 2003</xref>) and <italic>A.
						lacustris</italic> (Lütken, 1875) (<xref ref-type="bibr" rid="B60">Súarez <italic>et al</italic>., 2017</xref>), and
				even for other small fish, such as <italic>Characidium lauroi</italic> Travassos,
				1949 (<xref ref-type="bibr" rid="B8">Braga, 2006</xref>) and <italic>Aspidoras fuscoguttatus</italic> Nijssen &amp;
				Isbrücker, 1976 (<xref ref-type="bibr" rid="B1">Araujo, Garutti, 2003</xref>). This smaller size may be related to the
				fact that females demand higher energy for gonadal maturation (<xref ref-type="bibr" rid="B47">Pereira-Filho
					<italic>et al</italic>., 2011</xref>) since the energy investment for oocyte maturation
				seems to be greater than for sperm maturation (<xref ref-type="bibr" rid="B63">Vazzoler, 1996</xref>; <xref ref-type="bibr" rid="B72">Wootton, 1999</xref>).
				Therefore, females would require a larger body size (<xref ref-type="bibr" rid="B11">Bromley, 2003</xref>). Individuals
				with larger body sizes also have a greater capacity to absorb oxygen, which is
				fundamental to biochemical processes involved in gonadal maturation (<xref ref-type="bibr" rid="B45">Pauly, Cheung,
				2017</xref>).</p>
			<p>The growth pattern of <italic>H. heterorhabdus</italic> also appears to reflect the energy
				demand of reproductive activity and the significant female reproduction investment.
				Although females maintain a negative allometric growth throughout their development,
				the increase in the value of the allometric coefficient, after 20.71 mm, is an
				important indicator decrease in investment in growth when analyzed proportionally to
				weight. Considering that this change occurs at a length where more than 50% of the
				females are sexually mature, it is likely that this change is related to a greater
				investment in reproductive activities, such as gonadal maturation.</p>
			<p>The bimodal distribution of oocyte diameters defines the spawning type of <italic>H.
					heterorhabdus</italic> as group-synchronous, characterized by two populations of
				oocytes recognized in the ovary throughout the reproductive season (<xref ref-type="bibr" rid="B66">Wallace, Selman,
					1981</xref>; <xref ref-type="bibr" rid="B36">Lubzens <italic>et al</italic>., 2010</xref>). This pattern was evidenced in
				congeneric species, <italic>Hyphessobrycon santae</italic> (Eigenmann, 1907) (<xref ref-type="bibr" rid="B55">Sales
					<italic>et al</italic>., 2015</xref>) and <italic>Hyphessobrycon anisitsi</italic> (=
				<italic>Psalidodon anisitsi</italic> (Eigenmann, 1907)) (<xref ref-type="bibr" rid="B24">Gonçalves <italic>et
					al</italic>., 2013</xref>) in reservoirs of the state of Minas Gerais and upper Paraná
				River basin, respectively, and in <italic>Hyphessobrycon eques</italic>
				(Steindachner, 1882) (<xref ref-type="bibr" rid="B53">Santana <italic>et al</italic>., 2019</xref>) in floodplains of the
				Brazilian Pantanal and the Paraguay and Amonguijá rivers. On the other hand, the
				spawning type of <italic>H. heterorhabdus</italic> differs from the congeneric
				species <italic>Hyphessobrycon bifasciatus</italic> Ellis, 1911 and <italic>H.
					eques</italic> in a lake of the upper Paraná River basin (<xref ref-type="bibr" rid="B24">Gonçalves <italic>et
					al</italic>., 2013</xref>). Seasonal fluctuation of environmental parameters is
				considered the primary selective pressure of this biological strategy (<xref ref-type="bibr" rid="B68">Winemiller,
				2005</xref>). In seasonal environments, fish species tend to present a total spawning,
				which generally occurs during the high-water periods, when better environmental
				conditions benefit the offspring’s survival (<xref ref-type="bibr" rid="B24">Gonçalves <italic>et al</italic>.,
				2013</xref>). In environments with less seasonal variation, batch spawning would minimize
				intraspecific competition and enhances the use of the microhabitats, thus
				contributing to the viability of the offspring (<xref ref-type="bibr" rid="B4">Barbieri, 1992</xref>). According to
				<xref ref-type="bibr" rid="B67">Winemiller (1989</xref>), batch spawning is frequently observed in fish with an
				opportunistic reproductive strategy.</p>
			<p>The average fecundity of <italic>H. heterorhabdus</italic> was lower (324 ± 161), considering
				congeneric species that inhabit reduced seasonal variation environments in the
				Brazilian Southeast, such as <italic>H. bifasciatus</italic>, which presents an
				average of 482 (± 221) mature oocytes, and <italic>H. eques</italic>, with an
				average of 486 (± 159) mature oocytes, as well as those inhabiting environments with
				greater seasonal variation in the same basin, such as <italic>H. anisitsi</italic>
				with 931 (± 521) mature oocytes (<xref ref-type="bibr" rid="B24">Gonçalves <italic>et al</italic>., 2013</xref>). In
				contrast, <italic>H. heterorhabdus</italic> showed a higher fecundity than
					<italic>H. eques</italic> (average = 191.9 mature/vitellogenic; min = 67; max =
				624 oocytes) sampled in the floodplains of the Brazilian Pantanal and the Paraguay
				and Amonguijá rivers (<xref ref-type="bibr" rid="B53">Santana <italic>et al</italic>., 2018</xref>). As suggested by
				<xref ref-type="bibr" rid="B24">Gonçalves <italic>et al</italic>. (2013)</xref>, environmental conditions can be important
				predictors of fish fecundity. According to these authors, marked seasonal variations
				in environmental conditions restrict periods of favorable conditions for
				reproduction, resulting in lower fecundity in places with more stable environmental
				conditions. However, according to <xref ref-type="bibr" rid="B71">Wootton (1992</xref>) fish fecundity can also be affected
				by body size, where in species with a larger body size, females have a larger
				coelomic cavity, being able to house a greater number of mature oocytes.</p>
			<p>The batch spawning of <italic>H. heterorhabdus</italic> reinforces the idea of low seasonal
				fluctuation of the environmental condition of the Amazonian streams concerning
				Brazilian subtropical streams, such as savanna and Atlantic Forest streams (<xref ref-type="bibr" rid="B64">Veregue,
					Orsi, 2003</xref>; <xref ref-type="bibr" rid="B24">Gonçalves <italic>et al</italic>., 2013</xref>) and large amazon rivers with a
				marked flood pulse regime (<xref ref-type="bibr" rid="B32">Junk <italic>et al</italic>., 1989</xref>). However, this
				reproductive tactic can also be related to the habitat use by <italic>H.
					heterorhabdus</italic>, which inhabits the water column in backwater areas close
				to the banks and occupies microhabitats in the stream during high and low rainfall.
				The batch spawning also matches with the low fecundity recorded in <italic>H.
					heterorhabdus</italic>, which does not require a high production of oocytes to
				be released in a short time when environmental conditions are more favorable.</p>
			<p>The predictive effect of environmental variables in the reproductive activity of <italic>H.
					heterorhabdus</italic> was more evident for females (29.47% of explanation; p
				&lt; 0.05) than for males (10.74%; p &lt; 0.05), which may be associated with the
				fact that oocyte production demands more energy (<xref ref-type="bibr" rid="B47">Pereira-Filho <italic>et
					al</italic>., 2011</xref>) than the production and maturation of spermatozoa (<xref ref-type="bibr" rid="B63">Vazzoler,
						1996</xref>; <xref ref-type="bibr" rid="B72">Wootton, 1999</xref>) (<xref ref-type="table" rid="t1">Tab. 1</xref>). The elevated GSI values observed in male individuals
				can be partially attributed to the augmentation of mean water temperature, thereby
				reinforcing the notion of its significance in the reproductive biology of fish
				(<xref ref-type="bibr" rid="B34">Larsen <italic>et al</italic>., 2011</xref>). High water temperatures allow an increase in
				the metabolic rates of fish, affecting their reproductive performance (<xref ref-type="bibr" rid="B62">Vagner
					<italic>et al</italic>., 2019</xref>). The relationship between fish reproductive
				activity and temperature is frequently reported for fish from temperate regions
				(<xref ref-type="bibr" rid="B37">Migaud <italic>et al</italic>., 2010</xref>), while for tropical stream fish, mainly from
				the Amazon, reproductive activity is often associated with the local rainfall regime
				(<xref ref-type="bibr" rid="B15">Carvalho <italic>et al</italic>., 2021</xref>; <xref ref-type="bibr" rid="B35">López-Rodríguez <italic>et al</italic>.,
				2021</xref>). However, experimental evidence has demonstrated that increased water
				temperature leads to a reduction in the duration of spermatogenesis and an increase
				in cell proliferation in Neotropical characids, resulting in heightened GSI values
				in these fish (<xref ref-type="bibr" rid="B50">Quirino <italic>et al</italic>.,2021</xref>).</p>
			<p>The increase in the reproductive activity of females, expressed by the increase in the GSI
				values, coincided with the increase in the average values ​​of dissolved oxygen,
				corroborating the idea that this physicochemical parameter of the water is an
				essential factor for the reproduction of tropical fish (<xref ref-type="bibr" rid="B45">Pauly, Cheung, 2017</xref>). The
				positive relationship between the GSI and the percentage of structured substrate may
				indicate the importance of transporting organic matter from adjacent regions to the
				stream bed. The cumulative organic matter allows for the formation of favorable
				environments for spawning, shelter, and feeding of juvenile fish (<xref ref-type="bibr" rid="B33">Kramer, 1978</xref>;
				<xref ref-type="bibr" rid="B14">Casatti, 2005</xref>), which are essential to supply the energy invested in reproduction
				(<xref ref-type="bibr" rid="B16">Castillo-Rivera <italic>et al</italic>., 1994</xref>). This process would be essential
				since <italic>H. heterorhabdus</italic> has a diet predominantly composed of items
				of allochthonous origin (<xref ref-type="bibr" rid="B6">Benone <italic>et al</italic>., 2020</xref>). However, studies
				focused on the relationship between fish feeding and reproduction are scarce
				(<xref ref-type="bibr" rid="B3">Ballesteros <italic>et al</italic>., 2009</xref>) and non-existent for stream
				ecosystems.</p>
			<p>In this sense, we believe that females may have a greater ability to adjust their
				physiological conditions to the temporal variation of the stream’s environmental
				conditions. On the other hand, we think that gonadal maturation in males would be
				less affected by the measured environmental variables because the time for gonadal
				maturation is shorter and has a lower energetic cost than in females. Another
				possibility is that the gonadal maturation of males is also influenced by behavioral
				or even hormonal stimuli resulting from female gonadal maturation. However,
				behavioral and physiological studies involving these issues are still insufficient
				(<xref ref-type="bibr" rid="B39">Nakatsuru, Kramer, 1982</xref>; <xref ref-type="bibr" rid="B13">Bhat <italic>et al</italic>., 2021</xref>).</p>
			<p>The results obtained in the present study demonstrate that <italic>H. heterorhabdus</italic>
				presents a reproductive activity synchronized with environmental conditions related
				to the rainfall regime. However, a portion of the reproductive activity responds to
				other factors not yet clarified in this study, which may be better evaluated in
				experimental studies focused on triggers of gonadal maturation and spawning in this
				species. Even so, reduced body size and multiple spawning in an extended
				reproductive activity period tend to fit the species in an opportunistic strategy
				according to the classification proposed by <xref ref-type="bibr" rid="B67">Winemiller (1989)</xref> and <xref ref-type="bibr" rid="B70">Winemiller, Rose
				(1992)</xref>. The presence of <italic>H. heterorhabdus</italic> in the list of species
				authorized by the Brazilian government to be exploited for ornamental or aquarium
				purposes (Interministerial Regulatory Instruction nº 01/2012 of extinct Ministry of
				Fisheries and Aquaculture of Brazil) makes the information herein compiled of
				paramount importance for elaborating strategies aimed at conservation and
				sustainable exploitation practices, such as period and minimal size of capture.</p>
		</sec>
	</body>
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		</ref-list>
		<fn-group>
			<title>ADDITIONAL NOTES</title>
			<fn fn-type="other" id="fn5">
				<label>HOW TO CITE THIS ARTICLE</label>
				<p><bold>Oliveira AEP, Montag LFA, Rocha RM, López-Rodríguez NC, Prudente BS.</bold>
					Environmental predictors of the life history of the flag tetra
						<italic>Hyphessobrycon heterorhabdus</italic> (Characiformes: Characidae) in
					streams of the Eastern Amazon. Neotrop Ichthyol. 2023; 21(4):e220094.
					https://doi.org/10.1590/1982-0224-2022-0094</p>
			</fn>
		</fn-group>
	</back>
</article>
