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	<front>
		<journal-meta>
			<journal-id journal-id-type="publisher-id">FS</journal-id>
			<journal-title-group>
				<journal-title>Forest Systems</journal-title>
				<abbrev-journal-title abbrev-type="publisher">For. syst.</abbrev-journal-title>
			</journal-title-group>
			<issn publication-format="print">2171-5068</issn>
			<issn publication-format="electronic">2171-9845</issn>
			<publisher>
				<publisher-name>Consejo Superior de Investigaciones Cient&#xed;ficas</publisher-name>
			</publisher>
		</journal-meta>
		<article-meta>
			<article-id pub-id-type="publisher-id">fs/2025341-20912</article-id>
			<article-id pub-id-type="doi">10.5424/fs/2025341-20912</article-id>
			<article-categories>
				<subj-group subj-group-type="heading">
					<subject>Research article</subject>
				</subj-group>
			</article-categories>
			<title-group>
				<article-title>Carbon stock in the biomass of native urban fragments: A case study in an Atlantic Forest remnant in Brazil</article-title>
				<trans-title-group xml:lang="es">
					<trans-title>Almacenamiento de carbono en la biomasa de fragmentos urbanos nativos: Un estudio de caso en un remanente de la Mata Atl&#xe1;ntica en Brasil</trans-title>
				</trans-title-group>
				<alt-title alt-title-type="short">Carbon stock in Urban Atlantic Forest Fragments</alt-title>
			</title-group>
			<contrib-group>
				<contrib contrib-type="author" corresp="yes">
					<contrib-id contrib-id-type="orcid">https://orcid.org/0000-0003-0063-9819</contrib-id>
					<name>
						<surname>Pertille</surname>
						<given-names>Carla T.</given-names>
					</name>
					<email xlink:href="carlatpertille@gmail.com">carlatpertille@gmail.com</email>
					<aff id="aff-1-20912">
						<institution content-type="university">Federal University of Paran&#xe1;</institution>
						<institution content-type="department">Department of Forest Engineering</institution>
						<addr-line>80210170 Curitiba, PR</addr-line>
						<country country="BR">Brazil</country>
					</aff>
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				<contrib contrib-type="author">
					<contrib-id contrib-id-type="orcid">https://orcid.org/0000-0001-6775-0365</contrib-id>
					<name>
						<surname>da Cunha-Neto</surname>
						<given-names>Ernandes</given-names>
					</name>
					<aff id="aff-2-20912">
						<institution content-type="university">Federal University of Paran&#xe1;</institution>
						<institution content-type="department">Department of Forest Engineering</institution>
						<addr-line>80210170 Curitiba, PR</addr-line>
						<country country="BR">Brazil</country>
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				</contrib>
				<contrib contrib-type="author">
					<contrib-id contrib-id-type="orcid">https://orcid.org/0000-0001-6277-6371</contrib-id>
					<name>
						<surname>Sanquetta</surname>
						<given-names>Carlos R.</given-names>
					</name>
					<aff id="aff-3-20912">
						<institution content-type="university">Federal University of Paran&#xe1;</institution>
						<institution content-type="department">Department of Forest Engineering</institution>
						<addr-line>80210170 Curitiba, PR</addr-line>
						<country country="BR">Brazil</country>
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				<contrib contrib-type="author">
					<contrib-id contrib-id-type="orcid">https://orcid.org/0000-0002-7032-2721</contrib-id>
					<name>
						<surname>Behling</surname>
						<given-names>Alexandre</given-names>
					</name>
					<aff id="aff-4-20912">
						<institution content-type="university">Federal University of Paran&#xe1;</institution>
						<institution content-type="department">Department of Forest Engineering</institution>
						<addr-line>80210170 Curitiba, PR</addr-line>
						<country country="BR">Brazil</country>
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				<contrib contrib-type="author">
					<contrib-id contrib-id-type="orcid">https://orcid.org/0000-0001-8529-5554</contrib-id>
					<name>
						<surname>Dalla-Corte</surname>
						<given-names>Ana P.</given-names>
					</name>
					<aff id="aff-5-20912">
						<institution content-type="university">Federal University of Paran&#xe1;</institution>
						<institution content-type="department">Department of Forest Engineering</institution>
						<addr-line>80210170 Curitiba, PR</addr-line>
						<country country="BR">Brazil</country>
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			<pub-date pub-type="epub">
				<day>30</day>
				<month>04</month>
				<year>2025</year>
			</pub-date>
			<pub-date pub-type="collection">
				<day>30</day>
				<month>04</month>
				<year>2025</year>
			</pub-date>
			<volume>34</volume>
			<issue>1</issue>
			<elocation-id>20912</elocation-id>
			<pub-history>
				<event>
					<event-desc>Received</event-desc>
					<date date-type="received">
						<day>23</day>
						<month>05</month>
						<year>2024</year>
					</date>
				</event>
				<event>
					<event-desc>Accepted</event-desc>
					<date date-type="accepted">
						<day>03</day>
						<month>10</month>
						<year>2024</year>
					</date>
				</event>
				<event>
					<event-desc>Published</event-desc>
					<date date-type="pub">
						<day>25</day>
						<month>04</month>
						<year>2025</year>
					</date>
				</event>
			</pub-history>
			<permissions>
				<copyright-statement>&#xa9; 2025 CSIC</copyright-statement>
				<copyright-year>2025</copyright-year>
				<license license-type="open-access" xlink:href="https://creativecommons.org/licenses/by/4.0/">
					<license-p>This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International (CC BY 4.0) License.</license-p>
				</license>
			</permissions>
			<self-uri xlink:href="https://fs.revistas.csic.es/index.php/fs/article/view/XXXX/XXXX"/>
			<abstract>
				<title>Abstract</title>
				<sec>
					<title>Aim of study</title>
					<p> In the face of global concern about climate change, urban forests have great potential in the scenario of mitigating climate change and reducing emissions by carbon dioxide. Thus, the objective of this work was to evaluate the potential for carbon and carbon dioxide (CO<sub>2</sub>) removal of a forest fragment.</p>
				</sec>
				<sec>
					<title>Area of study</title>
					<p> A native urban Atlantic Forest fragment located in Curitiba, State of Paran&#xe1;, Brazil.</p>
				</sec>
				<sec>
					<title>Material and methods</title>
					<p> To do so, dendrometric data measured in the years 2006, 2009, 2012, 2015, 2018 and 2021 were used, totalling 77,016 individuals. From these data, the height, shoot and underground biomass were estimated based on allometric equations available in the literature. The growth dynamics and carbon stock were quantified by the difference in carbon stock at the beginning (2006) and at the end of the assessment (2021) in general, by genus and by diameter class.</p>
				</sec>
				<sec>
					<title>Main results</title>
					<p> The results showed that around 156.56 t.ha<sup>-1</sup> of biomass were accumulated in15 years, resulting in 64.23 t.ha<sup>-1</sup> of carbon, 235.51 t.ha<sup>-1</sup> of carbon dioxide equivalent (CO<sub>2-eq</sub>) and annual removal of 4.06 t.ha<sup>-1</sup>.year<sup>-1</sup>. The genus Araucaria was predominant throughout the period in relation to the genera found, followed by Ocotea, Luehea and Casearia, while Gymmanthes, Clethra and Citronella were later included in the evaluations. Araucaria individuals with a diameter class of 60 and 70 cm were responsible for the largest amount of carbon stored. The carbon stock concentration for the other genera was higher for diameter classes smaller than 40 cm.</p>
				</sec>
				<sec>
					<title>Research highlights</title>
					<p> Given the numbers found of annual carbon removal and biomass accumulation, it can be concluded that this native urban fragment positively contributed to the absorption and fixation of atmospheric carbon in forest biomass.</p>
				</sec>
			</abstract>
			<trans-abstract xml:lang="es">
				<title>Resumen</title>
				<sec>
					<title>Objetivo del estudio</title>
					<p> Frente a la preocupaci&#xf3;n global por el cambio clim&#xe1;tico, los bosques urbanos tienen un gran potencial en el escenario de la mitigaci&#xf3;n y la reducci&#xf3;n de emisiones de di&#xf3;xido de carbono. As&#xed;, el objetivo de este trabajo fue evaluar el potencial de eliminaci&#xf3;n de carbono y di&#xf3;xido de carbono (CO<sub>2</sub>) de un fragmento forestal.</p>
				</sec>
				<sec>
					<title>&#xc1;rea de estudio</title>
					<p> Un fragmento nativo de la Mata Atl&#xe1;ntica urbana ubicado en Curitiba, Estado de Paran&#xe1;, Brasil.</p>
				</sec>
				<sec>
					<title>Material y m&#xe9;todos</title>
					<p> Para ello, se utilizaron datos dasom&#xe9;tricos medidos en los a&#xf1;os 2006, 2009, 2012, 2015, 2018 y 2021, totalizando 77,016 individuos. A partir de estos datos, se estimaron la altura, biomasa a&#xe9;rea y subterr&#xe1;nea bas&#xe1;ndose en ecuaciones alom&#xe9;tricas disponibles en la literatura. La din&#xe1;mica de crecimiento y el almacenamiento de carbono se cuantificaron mediante la diferencia en el almacenamiento de carbono al inicio (2006) y al final de la evaluaci&#xf3;n (2021) en general, por g&#xe9;nero y por clase de di&#xe1;metro.</p>
				</sec>
				<sec>
					<title>Resultados principales</title>
					<p> Los resultados mostraron que se acumularon alrededor de 156.56 t.ha<sup>-1</sup> de biomasa en 15 a&#xf1;os, lo que result&#xf3; en 64.23 t.ha<sup>-1</sup> de carbono, 235.51 t.ha<sup>-1</sup> de equivalente en di&#xf3;xido de carbono (CO<sub>2eq</sub>) y una eliminaci&#xf3;n anual de 4.06 t.ha<sup>-1</sup>.a&#xf1;o<sup>-1</sup>. El g&#xe9;nero Araucaria fue predominante durante todo el per&#xed;odo en relaci&#xf3;n con los g&#xe9;neros encontrados, seguido por Ocotea, Luehea y Casearia, mientras que Gymmanthes, Clethra y Citronella fueron incluidos m&#xe1;s tarde en las evaluaciones. Los individuos de Araucaria con una clase de di&#xe1;metro de 60 y 70 cm fueron responsables de la mayor cantidad de carbono almacenado. La concentraci&#xf3;n de almacenamiento de carbono para los otros g&#xe9;neros fue mayor en las clases de di&#xe1;metro menores de 40 cm.</p>
				</sec>
				<sec>
					<title>Aspectos destacados de la investigaci&#xf3;n</title>
					<p>Dado los n&#xfa;meros encontrados de eliminaci&#xf3;n anual de carbono y acumulaci&#xf3;n de biomasa, se puede concluir que este fragmento urbano nativo contribuy&#xf3; positivamente a la absorci&#xf3;n y fijaci&#xf3;n de carbono atmosf&#xe9;rico en la biomasa forestal.</p>
				</sec>
			</trans-abstract>
			<kwd-group>
				<kwd>aboveground biomass</kwd>
				<kwd>carbon removal</kwd>
				<kwd>climate change</kwd>
				<kwd>forestry plantations</kwd>
				<kwd>global warming</kwd>
				<kwd>greenhouse gases</kwd>
				<kwd>native forests</kwd>
			</kwd-group>
			<kwd-group xml:lang="es">
				<kwd>biomasa a&#xe9;rea</kwd>
				<kwd>bosques nativos</kwd>
				<kwd>calentamiento global</kwd>
				<kwd>cambio clim&#xe1;tico</kwd>
				<kwd>eliminaci&#xf3;n de carbono</kwd>
				<kwd>gases de efecto invernadero</kwd>
				<kwd>plantaciones forestales</kwd>
			</kwd-group>
			<counts>
				<fig-count count="8"/>
				<table-count count="5"/>
				<equation-count count="5"/>
				<ref-count count="46"/>
				<page-count count="18"/>
			</counts>
		</article-meta>
	</front>
	<body>
		<sec id="sec-1-20912" sec-type="intro">
			<title>Introduction</title>
			<p>The Atlantic Forest is an important Brazilian biome, as it is one of the forests with the greatest biodiversity on the planet and presents a high level of eudemism (<xref ref-type="bibr" rid="ref-40-20912">Souza et al., 2021</xref>). It stands out for its coverage of 24.3% (32.9 million ha) of primary and secondary forests (<xref ref-type="bibr" rid="ref-25-20912">MapBiomas, 2022</xref>), with forest fragments of up to 50 ha (<xref ref-type="bibr" rid="ref-37-20912">Scarano &amp; Ceotto, 2015</xref>), surrounded by anthropogenic matrices, pastures and agricultural areas (<xref ref-type="bibr" rid="ref-18-20912">Joly et al., 2014</xref>).</p>
			<p>Among these areas, forests located in urban areas (called urban forests) can be conceptualized as networks or systems that comprise all forests, groups of trees and individual trees located in urban and peri-urban areas (<xref ref-type="bibr" rid="ref-9-20912">Brun et al., 2017</xref>). They may be formed by green areas containing remnants of natural landscapes with different land use histories (<xref ref-type="bibr" rid="ref-15-20912">Elmqvist et al., 2013</xref>). According to <xref ref-type="bibr" rid="ref-24-20912">Mapbiomas data (2024)</xref>, 6.9% of urban areas in Brazil are covered by vegetation, amounting to 283,700 ha. Of this total, 61.5% (174,599 ha), are in the Atlantic Forest biome. In other Brazilian biomes, approximately one in every five ha (22%) is in the Cerrado, with 62,533 ha of vegetation. The remaining 16.5% is distributed among the Amazon (18,605 ha &#x2013; 6.6% of the total), Caatinga (16,139 ha &#x2013; 5.7%), Pampa (11,228 ha &#x2013; 4%), and Pantanal (587 ha &#x2013; 0.2%). These areas in the Atlantic Forest are essential, as they are related to the quality of life and health of approximately 120 million people, or 72% of Brazil&#x2019;s population, according to <xref ref-type="bibr" rid="ref-39-20912">SOS Mata Atl&#xe2;ntica (2020)</xref>.</p>
			<p>However, such areas are vulnerable to human actions such as deforestation and forest degradation, phenomena responsible for greenhouse gas emissions of approximately 5-10 Gt.CO<sub>2eq</sub> (<xref ref-type="bibr" rid="ref-5-20912">Bhatti et al., 2023</xref>), making this biome one of the hotspots with the biggest threats to biodiversity (<xref ref-type="bibr" rid="ref-33-20912">Romanelli et al., 2022</xref>). Despite this vulnerability, urban forests provide ecosystem services to the surrounding population, regulating the microclimate, protecting biodiversity, and improving quality of life (<xref ref-type="bibr" rid="ref-1-20912">Alonzo et al., 2016</xref>). They also contribute to the removal of atmospheric carbon dioxide (CO<sub>2</sub>), whose potential has already been recognized and highlighted in scientific research as the largest and most cost-effective carbon sink (<xref ref-type="bibr" rid="ref-43-20912">Wang et al., 2021</xref>). In this context, it is essential to quantify the carbon stored in forest biomass, since biomass and carbon stocks are conditions and controls of the global carbon cycle, serving as indicators for constructing scenarios relating to climate change, as well as defining strategies for mitigating its impacts (<xref ref-type="bibr" rid="ref-20-20912">Lima et al., 2021</xref>). To this end, determining carbon stocks in forests can be conducted in two ways: direct methods (forest inventory and destructive sampling of individuals) and/or estimated indirectly (using allometric equations and data derived from remote sensing technologies) (<xref ref-type="bibr" rid="ref-34-20912">Romero et al., 2020</xref>). In cases where direct determination is possible, some samples (such as 31 trees used by <xref ref-type="bibr" rid="ref-42-20912">Veres et al., 2019</xref>) are often taken to quantify carbon in such a way that these samples generate a database for fitting regression models, which enable estimating biomass and carbon.</p>
			<p>Regarding carbon stock estimation, <xref ref-type="bibr" rid="ref-3-20912">Azevedo et al. (2018)</xref> conducted a study to quantify aboveground biomass and carbon stock in reforested areas aged 3, 5, and 7 years in Cachoeiras do Macacu, Rio de Janeiro, Brazil, using allometric equations (indirect methods). The results showed that both biomass and carbon increased with forest age. At 3 years, the biomass was 39.88 t.ha<sup>-1</sup> and the carbon was 19.94 t.ha<sup>-1</sup>. At 5 years, these values increased to 45.78 t.ha<sup>-1</sup> and 22.89 t.ha<sup>-1</sup>, respectively. At 7 years, the biomass reached 71.24 t.ha<sup>-1</sup> and the carbon was 35.62 t.ha<sup>-1</sup>. Similar results were obtained in an area located in Botucatu, S&#xe3;o Paulo, Brazil, with biomass ranging from 113.28 t.ha<sup>-1</sup> to 130.87 t.ha<sup>-1</sup> (<xref ref-type="bibr" rid="ref-30-20912">Pontes et al., 2019</xref>).</p>
			<p>Thus, there is a need and urgency to develop environmental mechanisms to mitigate the effects of climate change in the Brazilian context, as the country is part of global agreements to reduce greenhouse gases (GHG) emissions such as the Paris Agreement (<xref ref-type="bibr" rid="ref-19-20912">Koh et al., 2021</xref>) and has established a National Policy related to Climate Change (<xref ref-type="bibr" rid="ref-6-20912">Brazil, 2009</xref>), main national legislation on this topic. Therefore, accurate and reliable estimates of forest biomass and carbon must be generated, especially in a biome of such relevance as the Atlantic Forest. In view of the above, the objective of this work was to evaluate the carbon stock and carbon equivalent dynamics in the biomass of forest species located in a native Atlantic Forest remnant in southern Brazil.</p>
		</sec>
		<sec id="sec-2-20912" sec-type="materials|methods">
			<title>Material and methods</title>
			<sec id="sec-2.1-20912">
				<title>Study area</title>
				<p>The study was conducted in a native forest fragment called &#x201c;<italic>Cap&#xe3;o da Engenharia Florestal</italic>&#x201d; (<xref ref-type="fig" rid="fig-1-20912">Figure 1</xref>), located at the Federal University of Paran&#xe1;, in the <italic>Jardim Bot&#xe2;nico</italic>, Campus III, Curitiba, Brazil. This fragment has approximately 15.24 ha in extension (<xref ref-type="bibr" rid="ref-23-20912">Machado et al., 2008</xref>), with 12.96 ha (85%) belonging to the Mixed Ombrophilous Forest (MOF) and 2.28 ha (15%) formed by other forest formations (such as capoeira, capoeir&#xe3;o and predominance of bamboo) (<xref ref-type="bibr" rid="ref-35-20912">Rondon Neto et al., 2002</xref>).</p>
				<fig id="fig-1-20912">
					<label>Figure 1</label>
					<caption>
						<title>Quantification of biomass and carbon stock in a remmant of Atlantic forest in southern Brazil.</title>
					</caption>
					<graphic xlink:href="FS-34-01-20912-gf1.png" id="gra-1-20912"/>
				</fig>
				<p>According to the K&#xf6;ppen-Geiger climate classification (<xref ref-type="bibr" rid="ref-2-20912">Alvares et al., 2013</xref>), the area has a Cfb climate with temperature and average annual precipitation of approximately 17&#x2103; and 1,500 mm, respectively (<xref ref-type="bibr" rid="ref-2-20912">Alvares et al., 2013</xref>). This mesothermal humid subtropical climate has cool summers and winters with frequent frosts. The altitude ranges between 893 m and 925 m above sea level (<xref ref-type="bibr" rid="ref-23-20912">Machado et al., 2008</xref>).</p>
			</sec>
			<sec id="sec-2.2-20912">
				<title>Carbon and biomass dynamics</title>
				<p>Field data collection took place in the years 2006, 2009, 2012, 2015, 2018 and 2021 with identification of species existing at the site and the Circumference at Breast Height (CBH) measurement with a millimeter tape. Only individuals with CBH &#x2265; 31.4 cm were measured, totalling 144 species. Next, CBH measurements were converted into Diameter at Breast Height (DBH) and separated into DBH classes with an interval of 10 cm. The geographic position of each individual was collected using Global Positioning System receivers (GPS). Each year, approximately 12,800 individuals were measured, totalling about 77,000 individuals during the evaluation period.</p>
				<p>The hypsometric model (<xref ref-type="disp-formula" rid="dif-1-20912">Equation 1</xref>) developed by <xref ref-type="bibr" rid="ref-36-20912">Sanquetta et al. (2001)</xref> was then used to predict tree total heights. This model was parameterized in a nearby forest of similar phytophysiognomy and soil and climate characteristics as the study area. <xref ref-type="table" rid="taw-1-20912">Table 1</xref> summarizes the coefficients used according to genus based on <xref ref-type="bibr" rid="ref-36-20912">Sanquetta et al. (2001)</xref>.</p>
				<table-wrap id="taw-1-20912">
					<label>Table 1</label>
					<caption>
						<title>Coefficients of the hypsometric model of the genera in an urban native fragment located in Southern Brazil.</title>
					</caption>
					<table>
						<colgroup>
							<col/>
							<col/>
							<col/>
							<col/>
						</colgroup>
						<thead>
							<tr>
								<th align="left">Genus</th>
								<th align="center">&#x3b2;<sub>0</sub>
								</th>
								<th align="center">&#x3b2;<sub>1</sub>
								</th>
								<th align="center">&#x3b2;<sub>2</sub>
								</th>
							</tr>
						</thead>
						<tbody>
							<tr>
								<td align="left">
									<italic>Araucaria</italic>
								</td>
								<td align="center">-56.2432</td>
								<td align="center">17.5759</td>
								<td align="center">0.1127</td>
							</tr>
							<tr>
								<td align="left">Others</td>
								<td align="center">-79.8530</td>
								<td align="center">20.0058</td>
								<td align="center">0.1135</td>
							</tr>
						</tbody>
					</table>
					<table-wrap-foot>
						<fn id="twf-1-20912">
							<p>Source: <xref ref-type="bibr" rid="ref-36-20912">Sanquetta et al. (2001)</xref>.</p>
						</fn>
					</table-wrap-foot>
				</table-wrap>
				<disp-formula id="dif-1-20912">
					<mml:math id="mml-1-20912">
						<mml:mi>H</mml:mi>
						<mml:mi> = </mml:mi>
						<mml:mfrac>
							<mml:mrow>
								<mml:msub>
									<mml:mrow>
										<mml:mi>&#x3b2;</mml:mi>
									</mml:mrow>
									<mml:mrow>
										<mml:mi>0 </mml:mi>
									</mml:mrow>
								</mml:msub>
								<mml:mi>+ </mml:mi>
								<mml:msub>
									<mml:mrow>
										<mml:mi>&#x3b2;</mml:mi>
									</mml:mrow>
									<mml:mrow>
										<mml:mi>1 </mml:mi>
									</mml:mrow>
								</mml:msub>
								<mml:mi>*</mml:mi>
								<mml:mi>DBH</mml:mi>
								<mml:mi>+ </mml:mi>
								<mml:msub>
									<mml:mrow>
										<mml:mi>&#x3b2;</mml:mi>
									</mml:mrow>
									<mml:mrow>
										<mml:mi>2</mml:mi>
									</mml:mrow>
								</mml:msub>
								<mml:mi>*</mml:mi>
								<mml:msup>
									<mml:mrow>
										<mml:mi>DBH</mml:mi>
									</mml:mrow>
									<mml:mrow>
										<mml:mi>2</mml:mi>
									</mml:mrow>
								</mml:msup>
								<mml:mi> </mml:mi>
							</mml:mrow>
							<mml:mrow>
								<mml:mi>DBH</mml:mi>
							</mml:mrow>
						</mml:mfrac>
					</mml:math>
					<label>(1)</label>
				</disp-formula>
				<p>where: H: total height (m); &#x3b2;<sub>n</sub>: model coefficients; DBH: Diameter at Breast Height (cm).</p>
				<p>Then, the aboveground biomass was determined based on five allometric equations, four of which were developed specifically for certain species and the fifth used for the remaining species (<xref ref-type="table" rid="taw-2-20912">Table 2</xref>).</p>
				<table-wrap id="taw-2-20912">
					<label>Table 2</label>
					<caption>
						<title>Allometric models for estimating above ground biomass of species located in a native remmant in Curitiba, Paran&#xe1;, Brazil.</title>
					</caption>
					<table>
						<colgroup>
							<col/>
							<col/>
						</colgroup>
						<thead>
							<tr>
								<th align="center">Species</th>
								<th align="center">Equation</th>
							</tr>
						</thead>
						<tbody>
							<tr>
								<td align="center">
									<italic>Araucaria angustifolia</italic>
								</td>
								<td align="center">AGB = -0.0270 *(DBH&#xb2;* H)<sup>0.9671</sup>
								</td>
							</tr>
							<tr>
								<td align="center">
									<italic>Pinus taeda</italic>
								</td>
								<td align="center">AGB = -5.6500 + 2.8385 * DBH - 0.2716 * DBH&#xb2; + 0.0214 * DBH&#xb2;* H</td>
							</tr>
							<tr>
								<td align="center">
									<italic>Annona rugulosa</italic>
								</td>
								<td align="center">AGB = -4.8639 + 0.3981 * DBH + 0.2625* DBH&#xb2; </td>
							</tr>
							<tr>
								<td align="center">
									<italic>Casearia decandra</italic>
								</td>
								<td align="center">AGB = -4.8639 + 0.3981 * DBH + 0.2625* DBH&#xb2; </td>
							</tr>
							<tr>
								<td align="center">
									<italic>Machaerium stipitatum</italic>
								</td>
								<td align="center">AGB = -4.8639 + 0.3981 * DBH + 0.2625* DBH&#xb2; </td>
							</tr>
							<tr>
								<td align="center">
									<italic>Nectandra megapotamica</italic>
								</td>
								<td align="center">AGB = -4.8639 + 0.3981 * DBH + 0.2625* DBH&#xb2; </td>
							</tr>
							<tr>
								<td align="center">
									<italic>Picramnia parvifolia</italic>
								</td>
								<td align="center">AGB = -4.8639 + 0.3981 * DBH + 0.2625* DBH&#xb2; </td>
							</tr>
							<tr>
								<td align="center">
									<italic>Prunus brasiliensis</italic>
								</td>
								<td align="center">AGB = -4.8639 + 0.3981 * DBH + 0.2625* DBH&#xb2; </td>
							</tr>
							<tr>
								<td align="center">
									<italic>Gymnanthes klotzschiana</italic>
								</td>
								<td align="center">AGB = 13.3380 -3.7640 * DBH + 0.5270 * DBH&#xb2;</td>
							</tr>
							<tr>
								<td align="center">
									<italic>Lithraea brasiliensis</italic>
								</td>
								<td align="center">AGB = 13.3380 -3.7640 * DBH + 0.5270 * DBH&#xb2;</td>
							</tr>
							<tr>
								<td align="center">
									<italic>Schinus terebinthifolia</italic>
								</td>
								<td align="center">AGB = 13.3380 -3.7640 * DBH + 0.5270 * DBH&#xb2;</td>
							</tr>
							<tr>
								<td align="center">
									<italic>Xylosma pseudosalzmanii</italic>
								</td>
								<td align="center">AGB = 13.3380 -3.7640 * DBH + 0.5270 * DBH&#xb2;</td>
							</tr>
							<tr>
								<td align="center">Others</td>
								<td align="center">AGB = -3.0250 * DBH + 0.4250 * DBH&#xb2; + 0.0060</td>
							</tr>
						</tbody>
					</table>
					<table-wrap-foot>
						<fn id="twf-2-20912">
							<p>Source: <xref ref-type="bibr" rid="ref-32-20912">Roik et al. (2020)</xref>; <xref ref-type="bibr" rid="ref-38-20912">Schikowski et al. (2013)</xref>; <xref ref-type="bibr" rid="ref-42-20912">Veres et al. (2019)</xref> and <xref ref-type="bibr" rid="ref-46-20912">Zanette et al. (2017)</xref>.</p>
						</fn>
						<fn id="twf-3-20912">
							<p>In which: AGB: aboveground biomass (kg); DBH: Diameter at Breast Height (cm); H: total height (m).</p>
						</fn>
					</table-wrap-foot>
				</table-wrap>
				<p>The aboveground biomass carbon contents adopted in this study were derived from research conducted by <xref ref-type="bibr" rid="ref-26-20912">Mognon et al. (2013)</xref>. These authors determined the weighted average carbon contents for groups of different species using data derived from an area with MOF in the municipality of General Carneiro, State of Paran&#xe1;, Brazil (<xref ref-type="bibr" rid="ref-44-20912">Watzlawick et al., 2004</xref>). Thus, three groups were classified according to their respective carbon contents (<xref ref-type="bibr" rid="ref-26-20912">Mognon et al., 2013</xref>), being: i) <italic>Araucaria</italic> with 426 g.kg<sup>-1</sup>; ii) Canelas and individuals from the <italic>Lauraceae</italic> family with 407 g.kg<sup>-1</sup>; and iii) White wood (remaining tree species) with 411 g.kg<sup>-1</sup>. Finally, the carbon stock contained in the aboveground biomass was determined by multiplying the aboveground biomass (kg) by the average carbon content of the species group (g.kg<sup>-1</sup>).</p>
				<p>The model developed by <xref ref-type="bibr" rid="ref-27-20912">Nogueira J&#xfa;nior et al. (2014)</xref> in a forest restoration area belonging to MOF was adopted for underground biomass (<xref ref-type="disp-formula" rid="dif-2-20912">Equation 2</xref>):</p>
				<disp-formula id="dif-2-20912">
					<mml:math id="mml-2-20912">
						<mml:mi>log</mml:mi>
						<mml:mi>BS</mml:mi>
						<mml:mi>=</mml:mi>
						<mml:mi>-</mml:mi>
						<mml:mi>2.960</mml:mi>
						<mml:mi>+</mml:mi>
						<mml:mi>1.072</mml:mi>
						<mml:mi>*log</mml:mi>
						<mml:mi>DBH&#xb2;</mml:mi>
					</mml:math>
					<label>(2)</label>
				</disp-formula>
				<p>where: BS: dry underground biomass (kg); DBH: Diameter at Breast Height (cm).</p>
				<p>The value of 390 g.kg<sup>-1</sup> was adopted for the carbon content in the underground portion, a value obtained by <xref ref-type="bibr" rid="ref-45-20912">Watzlawick (2003)</xref> considering roots above 1 cm in diameter arranged in trenches measuring 1 m x 1 m and 0.50 m deep. Next, the underground biomass (<xref ref-type="disp-formula" rid="dif-2-20912">Equation 2</xref>) was multiplied by the underground carbon content, obtaining the carbon stock contained in the root reservoir.</p>
				<p>After calculating the carbon present above and below ground, the carbon dioxide equivalent (CO<sub>2-</sub>eq) was obtained using <xref ref-type="disp-formula" rid="dif-3-20912">Equation 3</xref>: </p>
				<disp-formula id="dif-3-20912">
					<mml:math id="mml-3-20912">
						<mml:msub>
							<mml:mrow>
								<mml:mi>C</mml:mi>
								<mml:mi>O</mml:mi>
							</mml:mrow>
							<mml:mrow>
								<mml:mn>2</mml:mn>
								<mml:mi>e</mml:mi>
								<mml:mi>q</mml:mi>
							</mml:mrow>
						</mml:msub>
						<mml:mi>=</mml:mi>
						<mml:mi>C</mml:mi>
						<mml:mi>*</mml:mi>
						<mml:mfrac>
							<mml:mrow>
								<mml:mn>44</mml:mn>
							</mml:mrow>
							<mml:mrow>
								<mml:mn>12</mml:mn>
							</mml:mrow>
						</mml:mfrac>
					</mml:math>
					<label>(3)</label>
				</disp-formula>
				<p>In which: CO<sub>2eq</sub>: carbon dioxide (kg); C: Carbon stock above and below ground (kg).</p>
				<p>The variation over time of the three variables of interest (biomass, carbon and CO<sub>2eq</sub> in t.ha<sup>-1</sup>) in the monitoring period was based on three phenomena (<xref ref-type="bibr" rid="ref-17-20912">Hasenauer, 2000</xref>), namely: i) Entry, meaning all trees that entered in a given evaluation period and that maintained their growth in the following evaluation; ii) Growth: living trees measured throughout the period; and iii) Mortality: trunks which were dead at the measurement time whose biomass was computed only in that year, and was not considered in subsequent years.</p>
				<p>It is possible to calculate the carbon dynamics during the years evaluated from this classification, subtracting the carbon stock between the years of analysis.</p>
			</sec>
			<sec id="sec-2.3-20912">
				<title>Dominance</title>
				<p>The absolute dominance (<xref ref-type="disp-formula" rid="dif-4-20912">Equation 4</xref>) and relative dominance (<xref ref-type="disp-formula" rid="dif-5-20912">Equation 5</xref>) of the species present in the analyzed fragment were calculated.</p>
				<disp-formula id="dif-4-20912">
					<mml:math id="mml-4-20912">
						<mml:msub>
							<mml:mrow>
								<mml:mi>D</mml:mi>
							</mml:mrow>
							<mml:mrow>
								<mml:mi>a</mml:mi>
							</mml:mrow>
						</mml:msub>
						<mml:mi>=</mml:mi>
						<mml:mfrac>
							<mml:mrow>
								<mml:mo>&#x2211;</mml:mo>
								<mml:mi>B</mml:mi>
								<mml:mi>A</mml:mi>
							</mml:mrow>
							<mml:mrow>
								<mml:mi>A</mml:mi>
							</mml:mrow>
						</mml:mfrac>
					</mml:math>
					<label>(4)</label>
				</disp-formula>
				<disp-formula id="dif-5-20912">
					<mml:math id="mml-5-20912">
						<mml:msub>
							<mml:mrow>
								<mml:mi>D</mml:mi>
							</mml:mrow>
							<mml:mrow>
								<mml:mi>r</mml:mi>
							</mml:mrow>
						</mml:msub>
						<mml:mi>=</mml:mi>
						<mml:mfrac>
							<mml:mrow>
								<mml:mo>&#x2211;</mml:mo>
								<mml:mi>B</mml:mi>
								<mml:mi>A</mml:mi>
							</mml:mrow>
							<mml:mrow>
								<mml:mo>&#x2211;</mml:mo>
								<mml:mi>B</mml:mi>
								<mml:mi>A</mml:mi>
								<mml:mi>t</mml:mi>
							</mml:mrow>
						</mml:mfrac>
						<mml:mi> </mml:mi>
						<mml:mi>*</mml:mi>
						<mml:mi> </mml:mi>
						<mml:mn>100</mml:mn>
					</mml:math>
					<label>(5)</label>
				</disp-formula>
				<p>where: D<sub>a</sub>: absolute dominance; BA: basal area of the species (m&#xb2;); A: area (ha); D<sub>r</sub>: relative dominance; BA: basal area of the species (m&#xb2;); BAt: basal area total (m&#xb2;);</p>
			</sec>
		</sec>
		<sec id="sec-3-20912" sec-type="results">
			<title>Results</title>
			<sec id="sec-3.1-20912">
				<title>General dynamics</title>
				<p>In general, a total of 92 genera and 144 species were identified during the analyzed period. There was a variation in the number of trees per hectare due to the dynamics of the forest, with differences between the entry and mortality of individuals. The highest values for diameter, height and average basal area were recorded in 2015, while the highest biomass and carbon stock were observed in 2021 (<xref ref-type="table" rid="taw-3-20912">Table 3</xref>).</p>
				<table-wrap id="taw-3-20912">
					<label>Table 3</label>
					<caption>
						<title>Production in biomass, carbon and carbon equivalent in a native fragment in Curitiba, Paran&#xe1;, Brazil.</title>
					</caption>
					<table>
						<colgroup>
							<col/>
							<col/>
							<col/>
							<col/>
							<col/>
							<col/>
							<col/>
						</colgroup>
						<thead>
							<tr>
								<th align="left">Variables</th>
								<th align="center">2006</th>
								<th align="center">2009</th>
								<th align="center">2012</th>
								<th align="center">2015</th>
								<th align="center">2018</th>
								<th align="center">2021</th>
							</tr>
						</thead>
						<tbody>
							<tr>
								<td align="left">Number of trees (N&#xb0;.ha<sup>-1</sup>)</td>
								<td align="center">646</td>
								<td align="center">671</td>
								<td align="center">684</td>
								<td align="center">682</td>
								<td align="center">639</td>
								<td align="center">641</td>
							</tr>
							<tr>
								<td align="left">Mean diameter (cm)</td>
								<td align="center">13.86</td>
								<td align="center">14.63</td>
								<td align="center">15.24</td>
								<td align="center">15.61</td>
								<td align="center">15.00</td>
								<td align="center">15.32</td>
							</tr>
							<tr>
								<td align="left">Mean height (m)</td>
								<td align="center">12.84</td>
								<td align="center">13.42</td>
								<td align="center">13.79</td>
								<td align="center">13.89</td>
								<td align="center">13.14</td>
								<td align="center">13.26</td>
							</tr>
							<tr>
								<td align="left">Mean basal area (m&#xb2;.ha<sup>-1</sup>)</td>
								<td align="center">21.78</td>
								<td align="center">23.41</td>
								<td align="center">25.03</td>
								<td align="center">26.45</td>
								<td align="center">26.29</td>
								<td align="center">27.30</td>
							</tr>
							<tr>
								<td align="left">Biomass (t.ha<sup>-1</sup>)</td>
								<td align="center">133.39</td>
								<td align="center">144.29</td>
								<td align="center">155.55</td>
								<td align="center">165.96</td>
								<td align="center">166.37</td>
								<td align="center">173.81</td>
							</tr>
							<tr>
								<td align="left">Carbon (t.ha<sup>-1</sup>)</td>
								<td align="center">54.71</td>
								<td align="center">59.18</td>
								<td align="center">63.80</td>
								<td align="center">68.08</td>
								<td align="center">68.28</td>
								<td align="center">71.33</td>
							</tr>
							<tr>
								<td align="left">Carbon dioxide equivalent (CO<sub>2-</sub>eq) (t.ha<sup>-1</sup>)</td>
								<td align="center">200.59</td>
								<td align="center">217.00</td>
								<td align="center">233.94</td>
								<td align="center">249.62</td>
								<td align="center">250.35</td>
								<td align="center">261.53</td>
							</tr>
						</tbody>
					</table>
				</table-wrap>
				<p>Due to the entry of individuals, there was an increase of 64 trees, in total, during the evaluation period (2006-2021), resulting in an increase of around 30% in the carbon stored in this MOF fragment (<xref ref-type="table" rid="taw-3-20912">Table 3</xref>). There was a 30% growth in biomass during the period from 2006 to 2021, which denotes a removal of 30% more CO<sub>2</sub> compared to the year 2021 (<xref ref-type="table" rid="taw-4-20912">Table 4</xref>).</p>
				<table-wrap id="taw-4-20912">
					<label>Table 4</label>
					<caption>
						<title>Biomass, carbon and equivalent carbon dioxide dynamics during 15 years of monitoring in a native remnant in Curitiba, Paran&#xe1;, Brazil. </title>
					</caption>
					<table>
						<colgroup>
							<col/>
							<col/>
							<col/>
							<col/>
							<col/>
							<col/>
						</colgroup>
						<thead>
							<tr>
								<th align="center">Dynamic</th>
								<th align="center">2009-2012</th>
								<th align="center">2012-2015</th>
								<th align="center">2015-2018</th>
								<th align="center">2015-2018</th>
								<th align="center">2006-2021</th>
							</tr>
						</thead>
						<tbody>
							<tr>
								<td align="center" colspan="6">
									<bold>Biomass (t.ha</bold>
									<sup>-1</sup>
									<bold>)</bold>
								</td>
							</tr>
							<tr>
								<td align="left">Growth</td>
								<td align="center">11.77</td>
								<td align="center">11.10</td>
								<td align="center">0.65</td>
								<td align="center">7.55</td>
								<td align="center">39.07</td>
							</tr>
							<tr>
								<td align="left">Entry</td>
								<td align="center">0.42</td>
								<td align="center">0.69</td>
								<td align="center">0.25</td>
								<td align="center">0.11</td>
								<td align="center">17.71</td>
							</tr>
							<tr>
								<td align="left">Mortality</td>
								<td align="center">5.27</td>
								<td align="center">-0.25</td>
								<td align="center">5.76</td>
								<td align="center">-4.98</td>
								<td align="center">-28.01</td>
							</tr>
							<tr>
								<td align="left">Balance</td>
								<td align="center">6.08</td>
								<td align="center">10.66</td>
								<td align="center">-5.35</td>
								<td align="center">12.42</td>
								<td align="center">49.37</td>
							</tr>
							<tr>
								<td align="center" colspan="6">
									<bold>Carbon (t.ha<sup>-1</sup>)</bold>
								</td>
							</tr>
							<tr>
								<td align="left">Growth</td>
								<td align="center">4.83</td>
								<td align="center">4.56</td>
								<td align="center">0.29</td>
								<td align="center">3.10</td>
								<td align="center">16.07</td>
							</tr>
							<tr>
								<td align="left">Entry</td>
								<td align="center">0.17</td>
								<td align="center">0.28</td>
								<td align="center">0.09</td>
								<td align="center">0.05</td>
								<td align="center">5.59</td>
							</tr>
							<tr>
								<td align="left">Mortality</td>
								<td align="center">2.16</td>
								<td align="center">-0.11</td>
								<td align="center">2.35</td>
								<td align="center">-1.63</td>
								<td align="center">-11.41</td>
							</tr>
							<tr>
								<td align="left">Balance</td>
								<td align="center">2.50</td>
								<td align="center">4.39</td>
								<td align="center">-2.15</td>
								<td align="center">4.68</td>
								<td align="center">21.89</td>
							</tr>
							<tr>
								<td align="center" colspan="6">
									<bold>Carbon dioxide equivalent (CO<sub>2</sub>eq) (t.ha<sup>-1</sup>)</bold>
								</td>
							</tr>
							<tr>
								<td align="left">Growth</td>
								<td align="center">17.70</td>
								<td align="center">16.27</td>
								<td align="center">1.08</td>
								<td align="center">11.36</td>
								<td align="center">58.94</td>
							</tr>
							<tr>
								<td align="left">Entry</td>
								<td align="center">0.62</td>
								<td align="center">1.04</td>
								<td align="center">0.35</td>
								<td align="center">0.17</td>
								<td align="center">20.49</td>
							</tr>
							<tr>
								<td align="left">Mortality</td>
								<td align="center">7.89</td>
								<td align="center">-0.38</td>
								<td align="center">8.60</td>
								<td align="center">-7.43</td>
								<td align="center">-41.85</td>
							</tr>
							<tr>
								<td align="left">Balance</td>
								<td align="center">9.19</td>
								<td align="center">16.06</td>
								<td align="center">-7.87</td>
								<td align="center">18.61</td>
								<td align="center">80.30</td>
							</tr>
						</tbody>
					</table>
				</table-wrap>
				<p>The variation of the three analysed variables was positive during the evaluated period, except between 2015 and 2018. The highest mortality (896 trees) and the lowest entry (382 trees) were recorded in this interval which had a negative impact on the biomass stock and carbon, registering lower growth than other periods and lower CO<sub>2eq</sub> removals (0.24 t.ha<sup>-1</sup>.year<sup>-1</sup>). Even so, the forest had great potential for biomass production and carbon removal (<xref ref-type="fig" rid="fig-2-20912">Figure 2</xref>).</p>
				<fig id="fig-2-20912">
					<label>Figure 2</label>
					<caption>
						<title>Aboveground biomass (a), carbon stock (b) and carbon dioxide equivalent (c) in native species of the Atlantic Forest, southern Brazil.</title>
					</caption>
					<graphic xlink:href="FS-34-01-20912-gf2.png" id="gra-2-20912"/>
				</fig>
				<p>The largest amount of CO<sub>2</sub> removed from the atmosphere was observed in 2012 (<xref ref-type="fig" rid="fig-3-20912">Figure 3</xref>), while 2018 showed a marked reduction in carbon fixation. During the analysis period, 64.23 t.ha<sup>-1</sup> of carbon were removed, which corresponds to an average of 4.06 t.ha<sup>-1</sup>.year<sup>-1</sup>. However, there was a high mortality of individuals between 2015 and 2018, resulting in the fixation of only 0.24 t.ha<sup>-1</sup> of carbon in that specific period.</p>
				<fig id="fig-3-20912">
					<label>Figure 3</label>
					<caption>
						<title>Carbon removal potential of an urban forest in southern Brazil.</title>
					</caption>
					<graphic xlink:href="FS-34-01-20912-gf3.png" id="gra-3-20912"/>
				</fig>
			</sec>
			<sec id="sec-3.2-20912">
				<title>Dynamics by genera</title>
				<p>There were 13 predominant genera identified during the evaluation period, namely: <italic>Araucaria, Ocotea, Luehea, Casearia, Cedrela, Schinus, Myrcia, Symplocos, Moquiniastrum, Nectandra, Jacaranda, Matayba</italic> and <italic>Clethra</italic>. Among these predominant genera, 4 exhibited the highest carbon stocks: <italic>Araucaria, Ocotea, Luehea</italic> and <italic>Casearia</italic>, with 104.15 t.ha<sup>-1</sup> (27.03%), 41.20 t.ha<sup>-1</sup> (10.69%), 33.85 t.ha<sup>-1</sup> (8.78%) and 29.98 t.ha<sup>-1</sup> (7.52%), respectively. From 2012 onwards, there were significant entries of individuals of the <italic>Gymmanthes, Clethra</italic> and <italic>Citronella</italic> genera in the evaluations (<xref ref-type="fig" rid="fig-4-20912">Figure 4</xref>).</p>
				<fig id="fig-4-20912">
					<label>Figure 4</label>
					<caption>
						<title>Carbon dynamics by genus by year (2006, 2009, 2012, 2015, 2018, and 2021) in a native forest fragment in southern Brazil.</title>
					</caption>
					<graphic xlink:href="FS-34-01-20912-gf4.png" id="gra-4-20912"/>
					<attrib>In which: AR: <italic>Araucaria</italic>; CA: <italic>Casearia</italic>; CE: <italic>Cedrela</italic>; CL: <italic>Clethra</italic>; JA: <italic>Jacaranda</italic>; LU: <italic>Luehea</italic>; MA: <italic>Matayba</italic>; MO: <italic>Moquiniastrum</italic>; MY: <italic>Myrcia</italic>; NE: <italic>Nectandra</italic>; OC: <italic>Ocotea</italic>; SC: <italic>Schinus</italic>; SY: <italic>Symplocos</italic>.</attrib>
				</fig>
			</sec>
			<sec id="sec-3.3-20912">
				<title>Dynamics by diameter class</title>
				<p>Regarding diameter classes, individuals of Araucaria with diameters between 60 and 70 cm exhibited higher carbon fixation (34.62 t.ha<sup>-1</sup>, corresponding to 33.28%) (<xref ref-type="fig" rid="fig-5-20912">Figure 5</xref>). For other genera, the classes &gt;20 cm and 20 to 30 cm were responsible for storing carbon in greater quantities (173.21 t.ha<sup>-1</sup>), representing 61.04% (<xref ref-type="fig" rid="fig-6-20912">Figure 6</xref>). For the genus Araucaria, the carbon stock by diameter class during the monitoring period is illustrated in <xref ref-type="fig" rid="fig-7-20912">Figure 7</xref>. <xref ref-type="fig" rid="fig-8-20912">Figure 8</xref>, in turn, shows the carbon variation in the other genera, considering the diameter classes and the evaluation years. </p>
				<fig id="fig-5-20912">
					<label>Figure 5</label>
					<caption>
						<title>Carbon stock by diameter class for Araucaria.</title>
					</caption>
					<graphic xlink:href="FS-34-01-20912-gf5.png" id="gra-5-20912"/>
					<attrib>In which: DBH: Diameter at Breast Height (cm).</attrib>
				</fig>
				<fig id="fig-6-20912">
					<label>Figure 6</label>
					<caption>
						<title>Carbon stock by diameter class for the other genera.</title>
					</caption>
					<graphic xlink:href="FS-34-01-20912-gf6.png" id="gra-6-20912"/>
					<attrib>In which: DBH: Diameter at Breast Height (cm).</attrib>
				</fig>
				<fig id="fig-7-20912">
					<label>Figure 7</label>
					<caption>
						<title>Carbon stock by diameter class for Araucaria evaluated by years (2006, 2009, 2012, 2015, 2018, and 2021).</title>
					</caption>
					<graphic xlink:href="FS-34-01-20912-gf7.png" id="gra-7-20912"/>
					<attrib>In which: DBH: Diameter at Breast Height (cm).</attrib>
				</fig>
				<fig id="fig-8-20912">
					<label>Figure 8</label>
					<caption>
						<title>Carbon allocation in the evaluated genera over 15 years of monitoring (2006, 2009, 2012, 2015, 2018 and 2021).</title>
					</caption>
					<graphic xlink:href="FS-34-01-20912-gf8.png" id="gra-8-20912"/>
					<attrib>In which: DBH: Diameter at Breast Height (cm).</attrib>
				</fig>
			</sec>
			<sec id="sec-3.4-20912">
				<title>Dominance</title>
				<p>The dominance analysis (<xref ref-type="table" rid="taw-5-20912">Table 5</xref>) revealed that <italic>Araucaria angustifolia (</italic>Bertol.) Kuntze exhibited the highest dominance percentage (24%). In second place was <italic>Luehea divaricata</italic> Martius et Zucarini with 8%, followed by <italic>Casearia sylvestris</italic> Swartz with 7% and <italic>Ocotea puberula</italic> (Rich.) Nees with 6%. <italic>Cedrela fissilis</italic> Vellozo and <italic>Schinus terebinthifolia</italic> Raddi both had an equal proportion (4%), while <italic>Myrcia hatschbachii</italic> D. Legrand and <italic>Jacaranda puberula</italic> Cham. each had 3%. Other species from the 13 predominant genera had a dominance percentage of 2%. The remaining species had lower representation, with 1% and 0%.</p>
				<table-wrap id="taw-5-20912">
					<label>Table 5</label>
					<caption>
						<title>Dominance analysis of a native urban fragment located in Curitiba, Paran&#xe1;, Brazil.</title>
					</caption>
					<table>
						<colgroup>
							<col/>
							<col/>
							<col/>
							<col/>
							<col/>
							<col/>
						</colgroup>
						<thead>
							<tr>
								<th align="center">Species</th>
								<th align="center">DoA</th>
								<th align="center">DoR</th>
								<th align="center">Species</th>
								<th align="center">DoA</th>
								<th align="center">DoR</th>
							</tr>
						</thead>
						<tbody>
							<tr>
								<td align="left">
									<italic>Aegiphila brachiata</italic>
								</td>
								<td align="center">0.08</td>
								<td align="center">0%</td>
								<td align="center">
									<italic>Lonchocarpus nitidus</italic>
								</td>
								<td align="center">0.02</td>
								<td align="center">0%</td>
							</tr>
							<tr>
								<td align="left">
									<italic>Allophylus edulis</italic>
								</td>
								<td align="center">2.18</td>
								<td align="center">1%</td>
								<td align="center">
									<italic>Luehea divaricata</italic>
								</td>
								<td align="center">12.42</td>
								<td align="center">8%</td>
							</tr>
							<tr>
								<td align="left">
									<italic>Allophylus semidentatus</italic>
								</td>
								<td align="center">0.38</td>
								<td align="center">0%</td>
								<td align="center">
									<italic>Machaerium brasiliense</italic>
								</td>
								<td align="center">0.49</td>
								<td align="center">0%</td>
							</tr>
							<tr>
								<td align="left">
									<italic>Annona rugulosa</italic>
								</td>
								<td align="center">0.66</td>
								<td align="center">0%</td>
								<td align="center">
									<italic>Machaerium paraguariense</italic>
								</td>
								<td align="center">1.04</td>
								<td align="center">1%</td>
							</tr>
							<tr>
								<td align="left">
									<italic>Araucaria angustifolia</italic>
								</td>
								<td align="center">36.46</td>
								<td align="center">24%</td>
								<td align="center">
									<italic>Machaerium stipitatum</italic>
								</td>
								<td align="center">0.83</td>
								<td align="center">1%</td>
							</tr>
							<tr>
								<td align="left">
									<italic>Baccharis dracunculifolia</italic>
								</td>
								<td align="center">0.00</td>
								<td align="center">0%</td>
								<td align="center">
									<italic>Magnolia champaca</italic>
								</td>
								<td align="center">0.02</td>
								<td align="center">0%</td>
							</tr>
							<tr>
								<td align="left">
									<italic>Banara parvifolia</italic>
								</td>
								<td align="center">0.09</td>
								<td align="center">0%</td>
								<td align="center">
									<italic>Matayba elaeagnoides</italic>
								</td>
								<td align="center">2.96</td>
								<td align="center">2%</td>
							</tr>
							<tr>
								<td align="left">
									<italic>Banara tomentosa</italic>
								</td>
								<td align="center">0.11</td>
								<td align="center">0%</td>
								<td align="center">
									<italic>Maytenus alaternoides</italic>
								</td>
								<td align="center">0.08</td>
								<td align="center">0%</td>
							</tr>
							<tr>
								<td align="left">
									<italic>Blepharocalyx salicifolius</italic>
								</td>
								<td align="center">0.74</td>
								<td align="center">0%</td>
								<td align="center">
									<italic>Maytenus aquifolia</italic>
								</td>
								<td align="center">0.00</td>
								<td align="center">0%</td>
							</tr>
							<tr>
								<td align="left">
									<italic>Bougainvillea glabra</italic>
								</td>
								<td align="center">0.05</td>
								<td align="center">0%</td>
								<td align="center">
									<italic>Maytenus evonymoides</italic>
								</td>
								<td align="center">0.05</td>
								<td align="center">0%</td>
							</tr>
							<tr>
								<td align="left">
									<italic>Calyptranthes concinna</italic>
								</td>
								<td align="center">0.07</td>
								<td align="center">0%</td>
								<td align="center">
									<italic>Mimosa scabrella</italic>
								</td>
								<td align="center">0.04</td>
								<td align="center">0%</td>
							</tr>
							<tr>
								<td align="left">
									<italic>Campomanesia guaviroba</italic>
								</td>
								<td align="center">0.61</td>
								<td align="center">0%</td>
								<td align="center">
									<italic>Mollinedia clavigera</italic>
								</td>
								<td align="center">0.03</td>
								<td align="center">0%</td>
							</tr>
							<tr>
								<td align="left">
									<italic>Campomanesia guazumifolia</italic>
								</td>
								<td align="center">0.07</td>
								<td align="center">0%</td>
								<td align="center">
									<italic>Monteverdia aquifolia</italic>
								</td>
								<td align="center">0.01</td>
								<td align="center">0%</td>
							</tr>
							<tr>
								<td align="left">
									<italic>Campomanesia xanthocarpa</italic>
								</td>
								<td align="center">0.68</td>
								<td align="center">0%</td>
								<td align="center">
									<italic>Monteverdia evonymoides</italic>
								</td>
								<td align="center">0.15</td>
								<td align="center">0%</td>
							</tr>
							<tr>
								<td align="left">
									<italic>Casearia decandra</italic>
								</td>
								<td align="center">0.18</td>
								<td align="center">0%</td>
								<td align="center">
									<italic>Moquiniastrum polymorphum</italic>
								</td>
								<td align="center">3.54</td>
								<td align="center">2%</td>
							</tr>
							<tr>
								<td align="left">
									<italic>Casearia lasiophylla</italic>
								</td>
								<td align="center">0.07</td>
								<td align="center">0%</td>
								<td align="center">
									<italic>Myrceugenia acutiflora</italic>
								</td>
								<td align="center">0.01</td>
								<td align="center">0%</td>
							</tr>
							<tr>
								<td align="left">
									<italic>Casearia obliqua</italic>
								</td>
								<td align="center">3.01</td>
								<td align="center">2%</td>
								<td align="center">
									<italic>Myrceugenia miersiana</italic>
								</td>
								<td align="center">0.04</td>
								<td align="center">0%</td>
							</tr>
							<tr>
								<td align="left">
									<italic>Casearia sylvestris</italic>
								</td>
								<td align="center">10.26</td>
								<td align="center">7%</td>
								<td align="center">
									<italic>Myrceugenia myrcioides</italic>
								</td>
								<td align="center">0.00</td>
								<td align="center">0%</td>
							</tr>
							<tr>
								<td align="left">
									<italic>Cedrela fissilis</italic>
								</td>
								<td align="center">5.65</td>
								<td align="center">4%</td>
								<td align="center">
									<italic>Myrcia hatschbachii</italic>
								</td>
								<td align="center">3.85</td>
								<td align="center">3%</td>
							</tr>
							<tr>
								<td align="left">
									<italic>Ceiba speciosa</italic>
								</td>
								<td align="center">0.14</td>
								<td align="center">0%</td>
								<td align="center">
									<italic>Myrcia laruotteana</italic>
								</td>
								<td align="center">0.01</td>
								<td align="center">0%</td>
							</tr>
							<tr>
								<td align="left">
									<italic>Celtis iguanaea</italic>
								</td>
								<td align="center">0.04</td>
								<td align="center">0%</td>
								<td align="center">
									<italic>Myrcia palustris</italic>
								</td>
								<td align="center">0.09</td>
								<td align="center">0%</td>
							</tr>
							<tr>
								<td align="left">
									<italic>Cestrum</italic>
								</td>
								<td align="center">0.00</td>
								<td align="center">0%</td>
								<td align="center">
									<italic>Myrcia splendens</italic>
								</td>
								<td align="center">1.27</td>
								<td align="center">1%</td>
							</tr>
							<tr>
								<td align="left">
									<italic>Chionanthus filiformis</italic>
								</td>
								<td align="center">0.01</td>
								<td align="center">0%</td>
								<td align="center">
									<italic>Myrsine coriacea</italic>
								</td>
								<td align="center">0.33</td>
								<td align="center">0%</td>
							</tr>
							<tr>
								<td align="left">
									<italic>Cinnamodendron dinisii</italic>
								</td>
								<td align="center">2.11</td>
								<td align="center">1%</td>
								<td align="center">
									<italic>Myrsine gardneriana</italic>
								</td>
								<td align="center">0.43</td>
								<td align="center">0%</td>
							</tr>
							<tr>
								<td align="left">
									<italic>Cinnamomum amoenum</italic>
								</td>
								<td align="center">0.03</td>
								<td align="center">0%</td>
								<td align="center">
									<italic>Myrsine umbellata</italic>
								</td>
								<td align="center">0.01</td>
								<td align="center">0%</td>
							</tr>
							<tr>
								<td align="left">
									<italic>Cinnamomum glaziovii</italic>
								</td>
								<td align="center">0.07</td>
								<td align="center">0%</td>
								<td align="center">
									<italic>Myrtaceae</italic>
								</td>
								<td align="center">0.05</td>
								<td align="center">0%</td>
							</tr>
							<tr>
								<td align="left">
									<italic>Cinnamomum sellowianum</italic>
								</td>
								<td align="center">0.02</td>
								<td align="center">0%</td>
								<td align="center">
									<italic>Nectandra lanceolata</italic>
								</td>
								<td align="center">3.12</td>
								<td align="center">2%</td>
							</tr>
							<tr>
								<td align="left">
									<italic>Cinnamomum vesiculosum</italic>
								</td>
								<td align="center">0.13</td>
								<td align="center">0%</td>
								<td align="center">
									<italic>Nectandra megapotamica</italic>
								</td>
								<td align="center">0.08</td>
								<td align="center">0%</td>
							</tr>
							<tr>
								<td align="left">
									<italic>Citharexylum solanaceum</italic>
								</td>
								<td align="center">0.03</td>
								<td align="center">0%</td>
								<td align="center">
									<italic>NI</italic>
								</td>
								<td align="center">0.19</td>
								<td align="center">0%</td>
							</tr>
							<tr>
								<td align="left">
									<italic>Citronella gongonha</italic>
								</td>
								<td align="center">0.84</td>
								<td align="center">1%</td>
								<td align="center">
									<italic>Ocotea bicolor</italic>
								</td>
								<td align="center">2.45</td>
								<td align="center">2%</td>
							</tr>
							<tr>
								<td align="left">
									<italic>Citronella paniculata</italic>
								</td>
								<td align="center">0.60</td>
								<td align="center">0%</td>
								<td align="center">
									<italic>Ocotea diospyrifolia</italic>
								</td>
								<td align="center">0.12</td>
								<td align="center">0%</td>
							</tr>
							<tr>
								<td align="left">
									<italic>Clethra scabra</italic>
								</td>
								<td align="center">2.85</td>
								<td align="center">2%</td>
								<td align="center">
									<italic>Ocotea nutans</italic>
								</td>
								<td align="center">3.33</td>
								<td align="center">2%</td>
							</tr>
							<tr>
								<td align="left">
									<italic>Coutarea hexandra</italic>
								</td>
								<td align="center">0.94</td>
								<td align="center">1%</td>
								<td align="center">
									<italic>Ocotea puberula</italic>
								</td>
								<td align="center">9.53</td>
								<td align="center">6%</td>
							</tr>
							<tr>
								<td align="left">
									<italic>Croton celtidifolius</italic>
								</td>
								<td align="center">0.03</td>
								<td align="center">0%</td>
								<td align="center">
									<italic>Ocotea pulchella</italic>
								</td>
								<td align="center">0.04</td>
								<td align="center">0%</td>
							</tr>
							<tr>
								<td align="left">
									<italic>Cryptocarya aschersoniana</italic>
								</td>
								<td align="center">0.08</td>
								<td align="center">0%</td>
								<td align="center">
									<italic>Ocotea sp</italic>
								</td>
								<td align="center">0.00</td>
								<td align="center">0%</td>
							</tr>
							<tr>
								<td align="left">
									<italic>Cupania vernalis</italic>
								</td>
								<td align="center">1.20</td>
								<td align="center">1%</td>
								<td align="center">
									<italic>Oreopanax fulvus</italic>
								</td>
								<td align="center">0.45</td>
								<td align="center">0%</td>
							</tr>
							<tr>
								<td align="left">
									<italic>Cybistax antisyphilitica</italic>
								</td>
								<td align="center">0.04</td>
								<td align="center">0%</td>
								<td align="center">
									<italic>Picramnia excelsa</italic>
								</td>
								<td align="center">0.01</td>
								<td align="center">0%</td>
							</tr>
							<tr>
								<td align="left">
									<italic>Dahlstedtia floribunda</italic>
								</td>
								<td align="center">0.79</td>
								<td align="center">1%</td>
								<td align="center">
									<italic>Picramnia parvifolia</italic>
								</td>
								<td align="center">0.02</td>
								<td align="center">0%</td>
							</tr>
							<tr>
								<td align="left">
									<italic>Dalbergia</italic>
								</td>
								<td align="center">0.00</td>
								<td align="center">0%</td>
								<td align="center">
									<italic>Picrasma crenata</italic>
								</td>
								<td align="center">0.23</td>
								<td align="center">0%</td>
							</tr>
							<tr>
								<td align="left">
									<italic>Dalbergia brasiliensis</italic>
								</td>
								<td align="center">0.42</td>
								<td align="center">0%</td>
								<td align="center">
									<italic>Pimenta pseudocaryophyllus</italic>
								</td>
								<td align="center">0.06</td>
								<td align="center">0%</td>
							</tr>
							<tr>
								<td align="left">
									<italic>Dalbergia frutescens</italic>
								</td>
								<td align="center">0.00</td>
								<td align="center">0%</td>
								<td align="center">
									<italic>Pinus taeda</italic>
								</td>
								<td align="center">0.36</td>
								<td align="center">0%</td>
							</tr>
							<tr>
								<td align="left">
									<italic>Dasyphyllum tomentosum</italic>
								</td>
								<td align="center">0.54</td>
								<td align="center">0%</td>
								<td align="center">
									<italic>Piptocarpha angustifolia</italic>
								</td>
								<td align="center">0.02</td>
								<td align="center">0%</td>
							</tr>
							<tr>
								<td align="left">
									<italic>Drimys brasiliensis</italic>
								</td>
								<td align="center">0.10</td>
								<td align="center">0%</td>
								<td align="center">
									<italic>Piptocarpha axillaris</italic>
								</td>
								<td align="center">0.96</td>
								<td align="center">1%</td>
							</tr>
							<tr>
								<td align="left">
									<italic>Duranta vestita</italic>
								</td>
								<td align="center">0.12</td>
								<td align="center">0%</td>
								<td align="center">
									<italic>Pittosporum undulatum</italic>
								</td>
								<td align="center">0.01</td>
								<td align="center">0%</td>
							</tr>
							<tr>
								<td align="left">
									<italic>Dyospiros kaki</italic>
								</td>
								<td align="center">0.00</td>
								<td align="center">0%</td>
								<td align="center">
									<italic>Podocarpus lambertii</italic>
								</td>
								<td align="center">0.01</td>
								<td align="center">0%</td>
							</tr>
							<tr>
								<td align="left">
									<italic>Eriobotrya japonica</italic>
								</td>
								<td align="center">0.03</td>
								<td align="center">0%</td>
								<td align="center">
									<italic>Prunus brasiliensis</italic>
								</td>
								<td align="center">0.90</td>
								<td align="center">1%</td>
							</tr>
							<tr>
								<td align="left">
									<italic>Erythrina falcata</italic>
								</td>
								<td align="center">0.50</td>
								<td align="center">0%</td>
								<td align="center">
									<italic>Psidium cattleyanum</italic>
								</td>
								<td align="center">0.00</td>
								<td align="center">0%</td>
							</tr>
							<tr>
								<td align="left">
									<italic>Erythrina speciosa</italic>
								</td>
								<td align="center">0.00</td>
								<td align="center">0%</td>
								<td align="center">
									<italic>Randia ferox</italic>
								</td>
								<td align="center">0.01</td>
								<td align="center">0%</td>
							</tr>
							<tr>
								<td align="left">
									<italic>Erythroxylum deciduum</italic>
								</td>
								<td align="center">0.23</td>
								<td align="center">0%</td>
								<td align="center">
									<italic>Roupala montana</italic>
								</td>
								<td align="center">0.68</td>
								<td align="center">0%</td>
							</tr>
							<tr>
								<td align="left">
									<italic>Escallonia bifida</italic>
								</td>
								<td align="center">0.06</td>
								<td align="center">0%</td>
								<td align="center">
									<italic>Sapium glandulosum</italic>
								</td>
								<td align="center">0.38</td>
								<td align="center">0%</td>
							</tr>
							<tr>
								<td align="left">
									<italic>Escallonia montevidensis</italic>
								</td>
								<td align="center">0.04</td>
								<td align="center">0%</td>
								<td align="center">
									<italic>Schinus terebinthifolia</italic>
								</td>
								<td align="center">5.32</td>
								<td align="center">4%</td>
							</tr>
							<tr>
								<td align="left">
									<italic>Eugenia chlorophylla</italic>
								</td>
								<td align="center">0.89</td>
								<td align="center">1%</td>
								<td align="center">
									<italic>Scutia buxifolia</italic>
								</td>
								<td align="center">0.24</td>
								<td align="center">0%</td>
							</tr>
							<tr>
								<td align="left">
									<italic>Eugenia involucrata</italic>
								</td>
								<td align="center">0.03</td>
								<td align="center">0%</td>
								<td align="center">
									<italic>Sebastiania brasiliensis</italic>
								</td>
								<td align="center">0.01</td>
								<td align="center">0%</td>
							</tr>
							<tr>
								<td align="left">
									<italic>Eugenia sp,</italic>
								</td>
								<td align="center">0.00</td>
								<td align="center">0%</td>
								<td align="center">
									<italic>Senna macranthera</italic>
								</td>
								<td align="center">0.00</td>
								<td align="center">0%</td>
							</tr>
							<tr>
								<td align="left">
									<italic>Eugenia uniflora</italic>
								</td>
								<td align="center">0.61</td>
								<td align="center">0%</td>
								<td align="center">
									<italic>Senna multijuga</italic>
								</td>
								<td align="center">0.03</td>
								<td align="center">0%</td>
							</tr>
							<tr>
								<td align="left">
									<italic>Guettarda uruguensis</italic>
								</td>
								<td align="center">0.00</td>
								<td align="center">0%</td>
								<td align="center">
									<italic>Sloanea lasiocoma</italic>
								</td>
								<td align="center">1.19</td>
								<td align="center">1%</td>
							</tr>
							<tr>
								<td align="left">
									<italic>Gymnanthes klotzschiana</italic>
								</td>
								<td align="center">2.48</td>
								<td align="center">2%</td>
								<td align="center">
									<italic>Sloanea monosperma</italic>
								</td>
								<td align="center">0.40</td>
								<td align="center">0%</td>
							</tr>
							<tr>
								<td align="left">
									<italic>Handroanthus albus</italic>
								</td>
								<td align="center">0.02</td>
								<td align="center">0%</td>
								<td align="center">
									<italic>Solanum</italic>
								</td>
								<td align="center">0.01</td>
								<td align="center">0%</td>
							</tr>
							<tr>
								<td align="left">
									<italic>Hovenia dulcis</italic>
								</td>
								<td align="center">0.55</td>
								<td align="center">0%</td>
								<td align="center">
									<italic>Solanum pseudoquina</italic>
								</td>
								<td align="center">0.45</td>
								<td align="center">0%</td>
							</tr>
							<tr>
								<td align="left">
									<italic>Ilex brevicuspis</italic>
								</td>
								<td align="center">0.15</td>
								<td align="center">0%</td>
								<td align="center">
									<italic>Solanum sanctaecatharinae</italic>
								</td>
								<td align="center">0.51</td>
								<td align="center">0%</td>
							</tr>
							<tr>
								<td align="left">
									<italic>Ilex dumosa</italic>
								</td>
								<td align="center">0.08</td>
								<td align="center">0%</td>
								<td align="center">
									<italic>Solanum swartzianum</italic>
								</td>
								<td align="center">0.00</td>
								<td align="center">0%</td>
							</tr>
							<tr>
								<td align="left">
									<italic>Ilex paraguariensis</italic>
								</td>
								<td align="center">0.25</td>
								<td align="center">0%</td>
								<td align="center">
									<italic>Styrax leprosus</italic>
								</td>
								<td align="center">0.69</td>
								<td align="center">0%</td>
							</tr>
							<tr>
								<td align="left">
									<italic>Ilex theezans</italic>
								</td>
								<td align="center">0.01</td>
								<td align="center">0%</td>
								<td align="center">
									<italic>Syagrus romanzoffiana</italic>
								</td>
								<td align="center">0.06</td>
								<td align="center">0%</td>
							</tr>
							<tr>
								<td align="left">
									<italic>Inga marginata</italic>
								</td>
								<td align="center">0.07</td>
								<td align="center">0%</td>
								<td align="center">
									<italic>Symplocos tenuifolia</italic>
								</td>
								<td align="center">0.03</td>
								<td align="center">0%</td>
							</tr>
							<tr>
								<td align="left">
									<italic>Inga sessilis</italic>
								</td>
								<td align="center">0.02</td>
								<td align="center">0%</td>
								<td align="center">
									<italic>Symplocos tetrandra</italic>
								</td>
								<td align="center">3.74</td>
								<td align="center">2%</td>
							</tr>
							<tr>
								<td align="left">
									<italic>Jacaranda puberula</italic>
								</td>
								<td align="center">3.84</td>
								<td align="center">3%</td>
								<td align="center">
									<italic>Symplocos uniflora</italic>
								</td>
								<td align="center">0.24</td>
								<td align="center">0%</td>
							</tr>
							<tr>
								<td align="left">
									<italic>Lafoensia pacari</italic>
								</td>
								<td align="center">0.12</td>
								<td align="center">0%</td>
								<td align="center">
									<italic>Vitex megapotamica</italic>
								</td>
								<td align="center">0.07</td>
								<td align="center">0%</td>
							</tr>
							<tr>
								<td align="left">
									<italic>Lamanonia ternata</italic>
								</td>
								<td align="center">0.91</td>
								<td align="center">1%</td>
								<td align="center">
									<italic>Xylosma ciliatifolia</italic>
								</td>
								<td align="center">0.02</td>
								<td align="center">0%</td>
							</tr>
							<tr>
								<td align="left">
									<italic>Lantana brasiliensis</italic>
								</td>
								<td align="center">0.03</td>
								<td align="center">0%</td>
								<td align="center">
									<italic>Xylosma pseudosalzmanii</italic>
								</td>
								<td align="center">0.16</td>
								<td align="center">0%</td>
							</tr>
							<tr>
								<td align="left">
									<italic>Laplacea fruticosa</italic>
								</td>
								<td align="center">0.01</td>
								<td align="center">0%</td>
								<td align="center">
									<italic>Zanthoxylum kleinii</italic>
								</td>
								<td align="center">0.74</td>
								<td align="center">0%</td>
							</tr>
							<tr>
								<td align="left">
									<italic>Ligustrum lucidum</italic>
								</td>
								<td align="center">0.75</td>
								<td align="center">0%</td>
								<td align="center">
									<italic>Zanthoxylum petiolare</italic>
								</td>
								<td align="center">0.30</td>
								<td align="center">0%</td>
							</tr>
							<tr>
								<td align="left">
									<italic>Lithraea brasiliensis</italic>
								</td>
								<td align="center">0.79</td>
								<td align="center">1%</td>
								<td align="center">
									<italic>Zanthoxylum rhoifolium</italic>
								</td>
								<td align="center">0.24</td>
								<td align="center">0%</td>
							</tr>
						</tbody>
					</table>
					<table-wrap-foot>
						<fn id="twf-4-20912">
							<p>In which: DoA: absolute dominance; DoR: relative dominance.</p>
						</fn>
					</table-wrap-foot>
				</table-wrap>
			</sec>
		</sec>
		<sec id="sec-4-20912" sec-type="discussion">
			<title>Discussion</title>
			<p>According to the results presented, there is vast potential for carbon fixation (64.23 t.ha<sup>-1</sup>) in the biomass of forest species existing in the native fragment located in the MOF area, since only the biomass contained in the aboveground compartment (and consequently the carbon) was considered, excluding biomass from other compartments such as necromass or soil. This fact is related to species diversity, a hypothesis supported by the identification of 144 species and 92 genera during the 15 years collection (2006 to 2021). This factor significantly contributed to the increase in carbon stock due to the optimized photosynthesis of the different species present at the site (<xref ref-type="bibr" rid="ref-12-20912">Catovsky et al., 2002</xref>).</p>
			<p>Furthermore, the area presents a dominance of early and late secondary species belonging to the following genera: <italic>Allophylus, Araucaria, Casearia, Citronella, Clethra, Gymmanthes, Jacaranda, Luehea, Moquiniastrum, Myrcia, Ocotea, Schinus</italic> and <italic>Symplocos</italic>. The species succession stage ha a direct interaction with carbon storage, as the initial and medium stages, which are in the growth phase, accumulate greater amounts of biomass and carbon (approximately 42.11 t.ha<sup>-1</sup> of biomass) (<xref ref-type="bibr" rid="ref-42-20912">Veres et al., 2019</xref>).</p>
			<p>Over the 15-year monitoring period, there was a 30% increase in the biomass of the analyzed fragment, suggesting that species richness played an important role, particularly due to the different growth rates of each species and the consequent accumulation of biomass. Species diversity was also an important factor in the research by <xref ref-type="bibr" rid="ref-30-20912">Pontes et al. (2019)</xref> and <xref ref-type="bibr" rid="ref-11-20912">Capellesso et al. (2021)</xref>. These authors highlighted that the structural characteristics of trees, the density of the forest, the forest's resilience and stability, as well as different successional stages and life cycles, impacted the composition of the plant community and the capacity for carbon absorption.</p>
			<p>This pattern was also evident in an area located in MOF in General Carneiro, Paran&#xe1;, Brazil, with an increase of 0.75 t.ha<sup>-1</sup>.year<sup>-1</sup> for biomass and 0.31 t.ha<sup>-1</sup>.year<sup>-1</sup> for biomass carbon (<xref ref-type="bibr" rid="ref-26-20912">Mognon et al., 2013</xref>). The increase of approximately 30% in biomass also occurred in an area with different successional regeneration stages in the Northwest Region of the State of Rio Grande do Sul, Brazil (<xref ref-type="bibr" rid="ref-16-20912">Erthal et al., 2023</xref>), reaffirming the carbon fixation potential of native forest fragments of the South of the country (<xref ref-type="bibr" rid="ref-22-20912">Machado et al., 2019</xref>).</p>
			<p>Growth and entry rates of individuals were higher than mortality rates during the monitored period, except for 2015-2018. The entries directly contributed to floristic enrichment and species diversity in the area, and growth was influenced by the satisfactory climatic and environmental conditions of the site, as evidenced by <xref ref-type="bibr" rid="ref-4-20912">Batista et al. (2020)</xref>. Furthermore, extreme climatic and meteorological conditions, such as prolonged droughts, storms, heatwaves, and frosts, can increase mortality and reduce tree growth, as can changes in competition for resources (water, nutrients, light, among others).</p>
			<p>Entries over time significantly contributed to biomass accumulation, as according to <xref ref-type="bibr" rid="ref-10-20912">Caron et al. (2015)</xref>, the greater the density of individuals in an area, especially with advanced successional stages, the greater the biomass production per unit area.</p>
			<p>The carbon removal potential in the study area during the 15 years of monitoring (2006 to 2021) was 64.23 t.ha<sup>-1</sup>, with an average of 4.06 t.ha<sup>-1</sup>.year<sup>-1</sup>, being similar to other studies conducted in similar regions, such as that by <xref ref-type="bibr" rid="ref-41-20912">Souza et al. (2023)</xref>, conducted in a hotspot of the Atlantic Forest, in the Mantiqueira Range, Southeastern region of Brazil. In this study, the authors assessed the carbon stock and uptake patterns of the sampled forests along a high-altitude gradient (1500&#x2013;2100 m a.s.l.) and monitored in two inventories (2011 and 2016). The results indicated variations in carbon accumulation over the period, with a carbon gain of 3.82&#x2013;5.14 t.ha&#x207b;&#xb9;.year&#x207b;&#xb9;.</p>
			<p>The study conducted by <xref ref-type="bibr" rid="ref-31-20912">Reis et al. (2019)</xref> quantified the carbon stock of 600 trees of five species (<italic>Tipuana tipu</italic> (Benth.) Kuntze<italic>, Acer negundo</italic> L.<italic>, Ficus benjamina</italic> L.<italic>, Terminalia catappa</italic> Linn, and <italic>Licania tomentosa</italic> (Benth.) Fritsch planted in three Brazilian cities (Curitiba, Paran&#xe1;; Itanha&#xe9;m, S&#xe3;o Paulo; and Bonito, Mato Grosso do Sul, Brazil) using the allometric equations of <xref ref-type="bibr" rid="ref-8-20912">Brown (1997)</xref> and <xref ref-type="bibr" rid="ref-7-20912">Brianezi et al. (2013)</xref>. According to the <xref ref-type="bibr" rid="ref-8-20912">Brown (1997)</xref> equation, the species with the highest occurrence in Curitiba, Paran&#xe1; (<italic>A. negundo</italic>. and <italic>T. tipu</italic>) had, respectively, 20.61 tons of carbon and 75.64 tCO<sub>&#x2082;eq</sub>, and 95.17 tons of carbon and 349.27 tCO<sub>&#x2082;eq</sub>. Using the <xref ref-type="bibr" rid="ref-7-20912">Brianezi et al. (2013)</xref> equation, 21.58 tons of carbon and 79.21 tCO<sub>&#x2082;eq</sub> were found for <italic>A. negundo</italic>, and 88.51 tons of carbon and 324.83 tCO<sub>&#x2082;eq</sub> for <italic>T.a tipu</italic>.</p>
			<p>According to the obtained results, individuals of <italic>A. angustifolia</italic> with a diameter greater than 60 cm exhibited higher carbon allocation. This is due to the characteristics of the analyzed fragment, which shows a higher occurrence of individuals of this species compared to trees of other species with smaller diameters and in earlier stages.</p>
			<p>This behavior was also observed by <xref ref-type="bibr" rid="ref-21-20912">Lipinski et al. (2017)</xref> in S&#xe3;o Jo&#xe3;o do Triunfo, State of Paran&#xe1;, Brazil, in the analysis of the temporal and spatial dynamics of biomass and carbon between 1995 and 2012. <italic>Araucaria angustifolia</italic> was predominant throughout the period, with biomass stocks of 102.5 t.ha<sup>-1</sup> in 1995; 126.8 t.ha<sup>-1</sup> in 2012; 43 t.ha<sup>-1</sup> of carbon in 1995; and 54 t.ha<sup>-1</sup> in 2012, revealing an increase in 1.17 t.ha<sup>-1</sup>.year<sup>-1</sup>.</p>
			<p> It is important to highlight those factors such as tree density, size of individuals, species composition, and canopy architecture (denser and symmetrically shaped canopies), as pointed out by <xref ref-type="bibr" rid="ref-7-20912">Brianezi et al. (2013)</xref> and <xref ref-type="bibr" rid="ref-28-20912">Nowak et al. (2013)</xref>, can influence the carbon absorption capacity of forests.</p>
			<p>In addition to the factors mentioned, it is important to highlight the differences between urban forests and natural forests, which can influence the dominance of <italic>A. angustifolia</italic>. In urban environments, forests are susceptible to anthropogenic actions and land management practices, which can alter forest structure and species diversity, favouring the establishment of species with greater tolerance to urban stresses, while native or dominant species in natural forests may be less prevalent or replaced by other species more adapted to the urban environment (<xref ref-type="bibr" rid="ref-29-20912">Olgun et al., 2024</xref>). The species <italic>A. angustifolia</italic>, native to the Atlantic Forest in southern Brazil, may not exhibit the same dominance in urban forests as it does in natural forests because, in urban forests, Araucaria is subject to competition with exotic species and may have a heterogeneous distribution (<xref ref-type="bibr" rid="ref-29-20912">Olgun et al., 2024</xref>). Moreover, <italic>A. angustifolia</italic> is a large, long-lived species that contributes significantly to carbon storage, and over time, due to natural forest dynamics, it may be replaced by other species with different growth characteristics and life cycles, potentially altering the carbon storage potential of the forest. Thus, the diameter at breast height distribution may suggest the presence of many small trees and few large trees, reflecting a successional stage where carbon stocks might be lower due to the reduced biomass of large trees (<xref ref-type="bibr" rid="ref-13-20912">Chazdon, 2008</xref>). Furthermore, there is a gap related to the development and adjustment of allometric equations for urban forests to estimate the variables analyzed in this study. This occurs due to the impossibility of directly determining biomass, which leads to the use of adjusted equations developed for established native forests, which can cause overestimations in trees located on urban roads.</p>
			<p>The evaluated remnant located in an area of MOF in the Atlantic Forest biome revealed that an average of 4.06 t.ha<sup>-1</sup>.year<sup>-1</sup> of carbon were removed, with Curitiba emitting 1.85 tCO<sub>2eq</sub> per inhabitant, according to the Inventory of Greenhouse Gas Emissions in the city of Curitiba, base year 2016 (<xref ref-type="bibr" rid="ref-14-20912">Curitiba, 2019</xref>). Therefore, it is noted that the evaluated fragment positively contributes to combating climate change, being capable of removing twice the amount of carbon emitted.</p>
			<p>Finally, it is recommended to investigate the role of urban forests in the face of climate change, especially in reducing GHG emissions and obtaining information about the carbon stock contained in the biomass of these areas. Furthermore, it is essential to assess the conservation status of forest fragments located in urban areas to conserve existing biodiversity, and if necessary, to restore the site (<xref ref-type="bibr" rid="ref-4-20912">Batista et al., 2020</xref>).</p>
		</sec>
		<sec id="sec-5-20912" sec-type="conclusions">
			<title>Conclusion</title>
			<p>Based on the assessment of the potential for removing CO<sub>2</sub> from the atmosphere by a native urban forest fragment located in the Atlantic Forest biome between 2006 and 2021, the following conclusions can be drawn regarding i) overall dynamics, i.e., the entire assessment period (2006-2021); ii) dynamics by genus (considering that there are different species in different successional stages) and by diameter classes (to illustrate differences in carbon accumulation).</p>
			<p>General: the 92 genera and 144 species identified had a positive biomass, carbon and equivalent carbon dioxide balance during the evaluation period. The fragment removed an average of 4.06 t.ha<sup>-1</sup>.year<sup>-1</sup>, and produced 156.56 t.ha<sup>-1</sup> of biomass, accumulating 64.23 t.ha<sup>-1</sup> of carbon and promoting the removal of 235.51 t.ha<sup>-1</sup> of CO<sub>2eq</sub> from the atmosphere, acting to reduce greenhouse gas emissions.</p>
			<p>Genus: The 13 predominant genera during the evaluation period were responsible for storing 301.20 t.ha&#x207b;&#xb9; of carbon, or 78.16%, highlighting the largest contribution to carbon sequestration by the following genera: <italic>Araucaria</italic>, <italic>Ocotea</italic>, <italic>Luehea</italic>, and <italic>Casearia</italic>, with 104.15 t.ha&#x207b;&#xb9; (27.03%), 41.20 t.ha&#x207b;&#xb9; (10.69%), 33.85 t.ha&#x207b;&#xb9; (8.78%), and 29.98 t.ha&#x207b;&#xb9; (7.52%), respectively.</p>
			<p>Diametric class: Araucaria individuals with diameters ranging between 60 and 70 cm showed higher carbon fixation (34.62 t.ha<sup>-1</sup>, equivalent to 33.28%). For other genera, the diameter classes greater than 20 cm and from 20 to 30 cm were responsible for the highest carbon storage (173.21 t.ha<sup>-1</sup>), representing 61.04%.</p>
		</sec>
	</body>
	<back>
		<sec id="sec-6-20912" sec-type="transparency-statement">
			<title>Competing interests</title>
			<p>This manuscript has not been published or presented elsewhere in part or in entirety, and is not under consideration by another journal. All study participants provided informed consent. All the authors have approved the manuscript and agree with submission to your esteemed journal. There are no conflicts of interest to declare.</p>
		</sec>
		<sec id="sec-7-20912" sec-type="author-contributions">
			<title>Authors&#x2019; contributions</title>
			<p>
				<bold>Carla T. Pertille:</bold> Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Visualization, Writing &#x2013; original draft. <bold>Ernandes da Cunha-Neto:</bold> Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Visualization, Writing &#x2013; original draft. <bold>Carlos R. Sanquetta:</bold> Conceptualization, Project administration, Resources, Software, Supervision, Validation, Writing &#x2013; review &amp; editing. <bold>Alexandre Behling:</bold> Conceptualization, Visualization, Writing &#x2013; review &amp; editing. <bold>Ana P. Dalla-Corte:</bold> Conceptualization, Project administration, Resources, Software, Supervision, Validation, Visualization, Writing &#x2013; review &amp; editing.</p>
		</sec>
		<sec id="sec-8-20912" sec-type="apoyo">
			<title>Funding</title>
			<p>The authors received no specific funding for this work.</p>
		</sec>
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