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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Environ. Sci.</journal-id>
<journal-title>Frontiers in Environmental Science</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Environ. Sci.</abbrev-journal-title>
<issn pub-type="epub">2296-665X</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="publisher-id">1244152</article-id>
<article-id pub-id-type="doi">10.3389/fenvs.2023.1244152</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Environmental Science</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>How does land use change affect the methane emission of soil in the Eastern Amazon?</article-title>
<alt-title alt-title-type="left-running-head">Lage Filho et al.</alt-title>
<alt-title alt-title-type="right-running-head">
<ext-link ext-link-type="uri" xlink:href="https://doi.org/10.3389/fenvs.2023.1244152">10.3389/fenvs.2023.1244152</ext-link>
</alt-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Lage Filho</surname>
<given-names>Nauara Moura</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1673806/overview"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Cardoso</surname>
<given-names>Abmael da Silva</given-names>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1266141/overview"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Azevedo</surname>
<given-names>Jorge Cardoso de</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/2587519/overview"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Macedo</surname>
<given-names>Vitor Hugo Mau&#xe9;s</given-names>
</name>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1673900/overview"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Domingues</surname>
<given-names>Felipe Nogueira</given-names>
</name>
<xref ref-type="aff" rid="aff5">
<sup>5</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Faturi</surname>
<given-names>Cristian</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Silva</surname>
<given-names>Thiago Carvalho da</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/2561332/overview"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Ruggieri</surname>
<given-names>Ana Cl&#xe1;udia</given-names>
</name>
<xref ref-type="aff" rid="aff6">
<sup>6</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/2588112/overview"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Reis</surname>
<given-names>Ricardo Andrade</given-names>
</name>
<xref ref-type="aff" rid="aff6">
<sup>6</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/942555/overview"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>do R&#xea;go</surname>
<given-names>An&#xed;bal Coutinho</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="aff" rid="aff7">
<sup>7</sup>
</xref>
<xref ref-type="corresp" rid="c001">&#x2a;</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1038644/overview"/>
</contrib>
</contrib-group>
<aff id="aff1">
<sup>1</sup>
<institution>Institute of Veterinary Medicine</institution>, <institution>Federal University of Par&#xe1;</institution>, <addr-line>Castanhal</addr-line>, <addr-line>Par&#xe1;</addr-line>, <country>Brazil</country>
</aff>
<aff id="aff2">
<sup>2</sup>
<institution>Institute of Health and Animal Production</institution>, <institution>Federal Rural University of Amazon</institution>, <addr-line>Bel&#xe9;m</addr-line>, <addr-line>Par&#xe1;</addr-line>, <country>Brazil</country>
</aff>
<aff id="aff3">
<sup>3</sup>
<institution>Institute of Food and Agricultural Science</institution>, <institution>University of Florida</institution>, <addr-line>Gainsville</addr-line>, <addr-line>FL</addr-line>, <country>United States</country>
</aff>
<aff id="aff4">
<sup>4</sup>
<institution>Research and Development Department</institution>, <institution>Brazilian Agricultural Research Corporation</institution>, <addr-line>Rio Branco</addr-line>, <addr-line>Acre</addr-line>, <country>Brazil</country>
</aff>
<aff id="aff5">
<sup>5</sup>
<institution>Institute of Agrarian Science</institution>, <institution>Federal University of Jequitinhonha and Mucuri Valleys</institution>, <addr-line>Una&#xed;</addr-line>, <addr-line>Minas Gerais</addr-line>, <country>Brazil</country>
</aff>
<aff id="aff6">
<sup>6</sup>
<institution>Department of Animal Science</institution>, <institution>S&#xe3;o Paulo State University</institution>, <addr-line>S&#xe3;o Paulo</addr-line>, <addr-line>S&#xe3;o Paulo</addr-line>, <country>Brazil</country>
</aff>
<aff id="aff7">
<sup>7</sup>
<institution>Department of Animal Science</institution>, <institution>Federal University of Cear&#xe1;</institution>, <addr-line>Fortaleza</addr-line>, <addr-line>Cear&#xe1;</addr-line>, <country>Brazil</country>
</aff>
<author-notes>
<fn fn-type="edited-by">
<p>
<bold>Edited by:</bold> <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/287272/overview">Alban Kuriqi</ext-link>, University of Lisbon, Portugal</p>
</fn>
<fn fn-type="edited-by">
<p>
<bold>Reviewed by:</bold> <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/126816/overview">Sangeeta Lenka</ext-link>, Indian Institute of Soil Science (ICAR), India</p>
<p>
<ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/1904227/overview">Gabriel Brito Costa</ext-link>, Federal University of Western Par&#xe1;, Brazil</p>
<p>
<ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/539759/overview">Celso H. L. Silva-Junior</ext-link>, Instituto de Pesquisa Ambiental da Amazonia (IPAM), Brazil</p>
<p>
<ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/1118941/overview">Luana Santamaria Basso</ext-link>, Max Planck Institute for Biogeochemistry, Germany</p>
</fn>
<corresp id="c001">&#x2a;Correspondence: An&#xed;bal Coutinho do R&#xea;go, <email>anibalcr@ufc.br</email>
</corresp>
</author-notes>
<pub-date pub-type="epub">
<day>04</day>
<month>12</month>
<year>2023</year>
</pub-date>
<pub-date pub-type="ecorrected">
<day>09</day>
<month>06</month>
<year>2026</year>
</pub-date>
<pub-date pub-type="collection">
<year>2023</year>
</pub-date>
<volume>11</volume>
<elocation-id>1244152</elocation-id>
<history>
<date date-type="received">
<day>21</day>
<month>06</month>
<year>2023</year>
</date>
<date date-type="accepted">
<day>21</day>
<month>11</month>
<year>2023</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2023 Lage Filho, Cardoso, Azevedo, Macedo, Domingues, Faturi, Silva, Ruggieri, Reis and do R&#xea;go.</copyright-statement>
<copyright-year>2023</copyright-year>
<copyright-holder>Lage Filho, Cardoso, Azevedo, Macedo, Domingues, Faturi, Silva, Ruggieri, Reis and do R&#xea;go</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/">
<p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</p>
</license>
</permissions>
<abstract>
<p>Methane emissions (CH<sub>4</sub>) from the soil increase according to changes made in forest soils and adverse edaphoclimatic factors. Soil temperature and nutrients will impact the activity of microorganisms, depending on land use. The objective of this study was to evaluate the impacts of land use, temperature, and nitrogen application on CH<sub>4</sub> emissions from soils within the Amazon region. Three experiments were conducted in a completely randomized design. Each experiment consisted of five replicates to measure CH<sub>4</sub> emissions. The variables examined in these experiments were: 1) three distinct land uses (forest, pasture, or agriculture; 2) soil temperatures (25, 30, 35, or 40&#xb0;C); and 3) input of nitrogen to the soil (0, 90, 180, or 270&#xa0;kg of N&#xa0;ha<sup>&#x2212;1</sup>). In this study, the highest emissions occurred in pasture soils, with values of 470&#xa0;&#x3bc;g of CH<sub>4</sub>&#xa0;g<sup>&#x2212;1</sup> of dry soil, while forest and agricultural soils suffer the effects of CH<sub>4</sub> oxidation. Temperature is a factor that contributes to CH<sub>4</sub> emissions, and temperatures above 30&#xb0;C tended to reduce gas emissions in the systems studied, since the highest emission was observed in pasture soil kept at 25&#xb0;C (&#x223c;1,130&#xa0;&#x3bc;g of CH<sub>4</sub>&#xa0;g<sup>&#x2212;1</sup> of dry soil). Nitrogen fertilization in pasture soils reduces CH<sub>4</sub> emitted nearly 140% as the dose increased. As a result, the pasture soils tended to emit higher concentrations of CH<sub>4</sub> into the atmosphere. However, reducing these emissions from the pasture management employed is possible.</p>
</abstract>
<kwd-group>
<kwd>arc of deforestation of the Amazon</kwd>
<kwd>CH<sub>4</sub> drivers</kwd>
<kwd>land use change</kwd>
<kwd>nitrogen</kwd>
<kwd>temperature</kwd>
</kwd-group>
<counts>
<page-count count="10"/>
</counts>
<custom-meta-wrap>
<custom-meta>
<meta-name>section-at-acceptance</meta-name>
<meta-value>Land Use Dynamics</meta-value>
</custom-meta>
</custom-meta-wrap>
</article-meta>
</front>
<body>
<sec sec-type="intro" id="s1">
<title>1 Introduction</title>
<p>The Amazon rainforest is considered one of the most important reservoirs of biodiversity on Earth (<xref ref-type="bibr" rid="B30">Heckenberger et al., 2007</xref>), providing various ecosystem services such as water and nutrient cycling, climate regulation, and carbon storage (<xref ref-type="bibr" rid="B13">Carvalho et al., 2017</xref>; <xref ref-type="bibr" rid="B16">C&#xf3;rdoba et al., 2019</xref>). Several factors have contributed to the expansion of deforestation and land use change in the Amazon, such as the use of more areas for agricultural purposes, logging, mining, burning, and population growth in the region, which has been increasing since the 70s (<xref ref-type="bibr" rid="B24">Fearnside, 2018</xref>; <xref ref-type="bibr" rid="B28">Gay and S&#xe1;nchez, 2019</xref>; <xref ref-type="bibr" rid="B41">Paiva et al., 2019</xref>; <xref ref-type="bibr" rid="B50">Souza Filho et al., 2020</xref>; <xref ref-type="bibr" rid="B49">Souza et al., 2021</xref>; <xref ref-type="bibr" rid="B4">Andrade et al., 2022</xref>; <xref ref-type="bibr" rid="B47">Silveira et al., 2022</xref>). Management, in which humans interfere with nature, causes several changes in the earth&#x2019;s surface. As the changes intensify, it is necessary to pay greater attention to the environment. Furthermore, soils in the Amazon Biome are methane sinkholes because of their high moisture content (<xref ref-type="bibr" rid="B57">Zhao et al., 2019</xref>). However, the changes in land use that have occurred have converted these areas to sources of CH<sub>4</sub> because of the impacts caused by the bacterial communities of the soil (<xref ref-type="bibr" rid="B51">Steudler et al., 1996</xref>; <xref ref-type="bibr" rid="B25">Fernandes et al., 2002</xref>; <xref ref-type="bibr" rid="B39">Meyer et al., 2017</xref>), which will alter nutrient cycling and, consequently, the emission of greenhouse gases, such as CH<sub>4</sub> (<xref ref-type="bibr" rid="B27">Garcia-Montiel et al., 2001</xref>; <xref ref-type="bibr" rid="B31">Khan et al., 2019</xref>).</p>
<p>Soil temperature is a key variable that influences greenhouse gas emissions because it regulates growth and microbial activity in the soil and influences O<sub>2</sub> availability, porosity, and soil water content (<xref ref-type="bibr" rid="B19">Dai et al., 2020</xref>; <xref ref-type="bibr" rid="B59">Cardoso et al., 2020</xref>). Moreover, previous studies in temperate regions found that the elevation of ambient temperature potentiates the emission of CH<sub>4</sub> into the atmosphere because of the greater efficiency of methanotrophic microorganisms present in the soil (<xref ref-type="bibr" rid="B35">Liikanen et al., 2002</xref>; <xref ref-type="bibr" rid="B58">Zheng et al., 2018</xref>).</p>
<p>The presence of nitrogen in the soil has a direct effect on the emission of CH<sub>4</sub> into the atmosphere because it accelerates the process of senescence and death of plant tissues and the tillering rate, thus increasing the litter layer present in the areas and the vegetation cover and accelerating the consumption of methanotrophic microorganisms (<xref ref-type="bibr" rid="B23">Fan et al., 2020</xref>; <xref ref-type="bibr" rid="B18">Cui, et al., 2022</xref>). However, the source of nitrogen fertilizer can promote high oscillations in the fluxes of CH<sub>4</sub> soon after its application (<xref ref-type="bibr" rid="B44">Raposo et al., 2020</xref>), correlating mainly with the content of mineral nitrogen in the soil owing to the inhibitory effect of ammonium in the process of methanotrophy, which is responsible for the oxidation of CH<sub>4</sub> in the soil (<xref ref-type="bibr" rid="B17">Corr&#xea;a et al., 2021</xref>).</p>
<p>The effect of land use changes on gas emissions in diverse ecosystems throughout South America has been the focus of several studies; however, studies in the Amazon region remain scarce. For example, <xref ref-type="bibr" rid="B38">Metay et al. (2007)</xref> and <xref ref-type="bibr" rid="B48">Siqueira Neto et al. (2020)</xref> studied CH<sub>4</sub> emissions in Cerrado soils, <xref ref-type="bibr" rid="B36">Louren&#xe7;o et al. (2022)</xref> performed analyses in the Caatinga, and <xref ref-type="bibr" rid="B55">Vasconcelos et al. (2018)</xref> conducted studies in Brazilian pampas, where all authors observed changes in soil methane emissions when changing land cover, from forest to pasture or agriculture. Physical and chemical differences in the soil can modify gas emissions in the Amazon biome, making it necessary to conduct regional studies to understand how emissions occur in different ecosystems to seek mitigation strategies for CH<sub>4</sub> in these areas.</p>
<p>This study tested the hypotheses that a change from forest areas to pasture or agricultural areas increases the emission of CH<sub>4</sub> into the atmosphere, and that the temperature or nitrogen increases changes the CH<sub>4</sub> flux of the soil, with the aim of identifying the causes of the increase in gas emissions into the atmosphere and seeking mitigation strategies for the systems. This research objective was to characterize the CH<sub>4</sub> emissions in different land uses (forest, pasture, or agriculture) subjected to elevated soil temperature or increased nitrogen in the soil.</p>
</sec>
<sec sec-type="materials|methods" id="s2">
<title>2 Material and methods</title>
<sec id="s2-1">
<title>2.1 Location and soil characteristics</title>
<p>To conduct the incubations, areas of similar soil characteristics were selected in the municipality of Nova Esperan&#xe7;a do Piri&#xe1;, Par&#xe1;, Brazil (2&#xb0;15&#x2032;S, 46&#xb0;58&#x2032;W; altitude 73&#xa0;m). The local climate is classified as a tropical monsoon (Am) type according to the K&#xf6;ppen classification, with a short dry season and heavy rains during the rest of the year (<xref ref-type="bibr" rid="B2">Alvares et al., 2013</xref>). In the year of the collect the total precipitation is 3,000&#xa0;mm and mean temperature is 27.7&#xb0;C, with maximum and minimum temperature of 33.8&#xb0;C and 22.6&#xb0;C, respectively. The soil was collected at a depth of 20&#xa0;cm from three land-use systems (forest, pasture, and agriculture), approximately 2&#xa0;km from each other. The soil characteristics are presented in <xref ref-type="table" rid="T1">Table 1</xref>. The incubations were conducted in the foraging laboratory at the State University of S&#xe3;o Paulo, Jaboticabal, S&#xe3;o Paulo, Brazil.</p>
<table-wrap id="T1" position="float">
<label>TABLE 1</label>
<caption>
<p>Soil chemical characteristics according to the treatment.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th rowspan="2" align="center">Land use</th>
<th align="center">pH</th>
<th align="center">OM</th>
<th align="center">P</th>
<th align="center">Ca</th>
<th align="center">Mg</th>
<th align="center">K</th>
<th align="center">Al</th>
<th align="center">H</th>
<th rowspan="2" align="center">%V</th>
<th align="center">Sand</th>
<th align="center">Silt</th>
<th align="center">Clay</th>
</tr>
<tr>
<th align="center">CaCl<sub>2</sub>
</th>
<th align="center">%</th>
<th align="center">mg dm<sup>&#x2212;3</sup>
</th>
<th colspan="5" align="center">mmol<sub>C</sub> dm<sup>&#x2212;3</sup>
</th>
<th colspan="3" align="center">%</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="center">Forest</td>
<td align="center">4.3</td>
<td align="center">2.3</td>
<td align="center">10</td>
<td align="center">4</td>
<td align="center">2</td>
<td align="center">0.3</td>
<td align="center">14</td>
<td align="center">38</td>
<td align="center">10</td>
<td align="center">67</td>
<td align="center">11</td>
<td align="center">22</td>
</tr>
<tr>
<td align="center">Pasture</td>
<td align="center">4.8</td>
<td align="center">1.0</td>
<td align="center">1</td>
<td align="center">12</td>
<td align="center">4</td>
<td align="center">1.0</td>
<td align="center">0</td>
<td align="center">23</td>
<td align="center">42</td>
<td align="center">81</td>
<td align="center">4</td>
<td align="center">15</td>
</tr>
<tr>
<td align="center">Crop</td>
<td align="center">4.7</td>
<td align="center">1.3</td>
<td align="center">11</td>
<td align="center">17</td>
<td align="center">5</td>
<td align="center">0.5</td>
<td align="center">1</td>
<td align="center">26</td>
<td align="center">46</td>
<td align="center">78</td>
<td align="center">5</td>
<td align="center">17</td>
</tr>
</tbody>
</table>
</table-wrap>
<p>The systems (<xref ref-type="fig" rid="F1">Figure 1</xref>) were chosen based on a diagnosis conducted in the municipality of Nova Esperan&#xe7;a do Piri&#xe1;, Par&#xe1;, Brazil, because the region&#x2019;s economy revolves around black pepper production. Pasture systems (2&#xb0;19&#x2032;34&#x2033;S; 46&#xb0;56&#x2032;22&#x2033;W) invest little in the system&#x2019;s intensification. The native forest (2&#xb0;19&#x2032;14&#x2033;S; 46&#xb0;56&#x2032;26&#x2033;W) area represents a reference of the original ecosystem of the region. The pasture used for soil collection was formed in 2007 after burning with the implantation of <italic>Urochloa brizantha</italic> cv. Marand&#xfa;. A swidden process is performed annually to remove invasive plants. The production system is extensive, with cattle production using a continuous stocking system at various stocking rates. The last fertilization was carried out in 2018 using natural reactive phosphate (90&#xa0;kg P<sub>2</sub>O<sub>5</sub>&#xa0;ha<sup>&#x2212;1</sup>). The area corresponding to agriculture (2&#xb0;19&#x2032;38&#x2033;S; 46&#xb0;55&#x2032;40&#x2033;W) has cultivated black pepper (<italic>Piper nigrum</italic>), which was opened in 2012 through burning. The planting was 5&#xa0;years old and in the third collection cycle. At the time of collection, the crop was in its fifth year of cultivation and received annual fertilization of 130&#xa0;kg&#xa0;ha<sup>&#x2013;1</sup> of nitrogen, 80&#xa0;kg&#xa0;ha<sup>&#x2013;1</sup> of phosphorus (P<sub>2</sub>O<sub>5</sub>), and 200&#xa0;kg&#xa0;ha<sup>&#x2013;1</sup> of potassium (KCl).</p>
<fig id="F1" position="float">
<label>FIGURE 1</label>
<caption>
<p>Location map of soils collection areas. <bold>(A)</bold> Representation of the delimitation of the Amazon biome. <bold>(B)</bold> Location of Nova Esperan&#xe7;a do Piri&#xe1;, PA. <bold>(C)</bold> Soils collection areas in Nova Esperan&#xe7;a do Piri&#xe1;, PA.</p>
</caption>
<graphic xlink:href="fenvs-11-1244152-g001.tif"/>
</fig>
<p>Soil samples were collected, air-dried for 72&#xa0;h, homogenized, and mechanically macerated using a roller to break the clods.</p>
</sec>
<sec id="s2-2">
<title>2.2 Experimental design</title>
<p>Three incubations were carried out to determine the CH<sub>4</sub> emissions and flux in each land-use system, as well as their interactions with temperature variations and soil nitrogen input.<list list-type="simple">
<list-item>
<p>a) Incubation 1: A completely randomized design consisting of three treatments corresponding to land use (forest, pasture, and agriculture) with five replicates, totaling 15 experimental units.</p>
</list-item>
<list-item>
<p>b) Incubation 2: An experiment was conducted in a 3 &#xd7; 4 factorial scheme with a completely randomized design, with five replicates, totaling 60 experimental units. The first factor was land use (forest, pasture, and agriculture), and the second was the elevation in soil temperature (25, 30, 35, and 40&#xb0;C). The temperature of 25&#xb0;C is due to the average temperature of the region&#x2019;s climate (<xref ref-type="bibr" rid="B2">Alvares et al., 2013</xref>).</p>
</list-item>
<list-item>
<p>c) Incubation 3: An experiment in a 3 &#xd7; 4 factorial scheme was conducted out in a completely randomized design, with five replicates, totaling 60 experimental units. It was tested the effects of different land uses (forest, pasture, and agriculture) and nitrogen input into the soil (0, 9, 180, and 270&#xa0;kg&#xa0;N&#xa0;ha<sup>-1</sup>).</p>
</list-item>
</list>
</p>
</sec>
<sec id="s2-3">
<title>2.3 Incubation of treatments</title>
<p>The study was conducted under controlled conditions: 100&#xa0;g of dry soil (forest, pasture, or agriculture) was added to flask (500&#xa0;mL), and the soil moisture was maintained at 33% of the water retention capacity in all soil systems. In incubations where the effect of temperature was not tested, 25.0&#xb0;C &#xb1; 1.0&#xb0;C was maintained. In incubation 1 and 2, 0.018&#xa0;mg&#xa0;g<sup>&#x2212;1</sup> soil, corresponding to 50&#xa0;kg of N&#xa0;ha<sup>&#x2212;1</sup>, was added in each soil in the form of a liquid solution to stimulate the soil&#x2019;s microbial population, wheres in incubation 3, the addition of nitrogen was an evaluating factor.<list list-type="simple">
<list-item>
<p>a) Soil temperature elevation treatment</p>
</list-item>
</list>
</p>
<p>Greenhouses with forced air circulation were maintained at a constant temperature corresponding to the defined values. The vials were kept at 25&#xb0;C, 30&#xb0;C, 35&#xb0;C, and 40&#xb0;C and withdrawn only for gas collection.<list list-type="simple">
<list-item>
<p>b) Soil nitrogen input treatment</p>
</list-item>
</list>
</p>
<p>Urea solutions with predefined nitrogen concentrations were prepared. To nitrogen concentrations of 90, 180, and 270&#xa0;kg of N&#xa0;ha<sup>&#x2212;1</sup>, 0.032, 0.064, and 0.096&#xa0;mg&#xa0;g<sup>&#x2212;1</sup> soil, respectively, were added. For the treatment of 0&#xa0;kg of N&#xa0;ha<sup>&#x2212;1</sup>, only water was added to the vials to maintain the desired humidity.</p>
</sec>
<sec id="s2-4">
<title>2.4 CH<sub>4</sub> measurement and soil analysis</title>
<p>To quantify the emissions of CH<sub>4</sub>, the technique of a closed static chamber consisting of 400&#xa0;mL of free space was used. The sampling routine was between 9 a.m. and 10 a.m., as described by <xref ref-type="bibr" rid="B11">Cardoso et al. (2017)</xref>. The flux of CH<sub>4</sub> emissions was monitored for 25&#xa0;days in incubation 1 and 28&#xa0;days in incubations 2 and 3. Samples were collected every day during the first week and at 2-day until the end of the incubation period.</p>
<p>To measure CH<sub>4</sub> production, bottle caps were sealed for 30&#xa0;min and the change in free-space concentration was quantified. At the end of the incubation period (T30), air samples were collected using 50&#xa0;mL polypropylene syringes. Additionally, ambient gas samples (T0) were collected from the five chambers before sealing to measure the initial CH<sub>4</sub> concentration. The chambers used for the initial sample collection were rotated for each collection.</p>
<p>The gas samples were transferred to 20&#xa0;mL pre-evacuated vials (Shimadzu vials) for quantitative analysis using gas chromatography (Shimadzu Green House Gas Analyzer GC-2014; Kyoto, Japan) to measure CH<sub>4</sub>. The analysis was performed under the following conditions: injector temperature of 250&#xb0;C, column temperature of 80&#xb0;C, N<sub>2</sub> carrier gas flow rate of 30&#xa0;mL&#xa0;min<sup>&#x2212;1</sup>, and flame ionization detector (FID) temperature set at 280&#xa0;&#xb0;C.</p>
<p>The CH<sub>4</sub> flux (&#x3bc;g CH<sub>4</sub>&#xa0;m<sup>&#x2212;2</sup>&#xa0;h<sup>&#x2212;1</sup>) was determined by calculating the change in concentration over the sampling period, assuming a linear increase in CH<sub>4</sub> concentration. The calculations were performed using the following equations (<xref ref-type="bibr" rid="B12">Cardoso et al., 2019</xref>):<disp-formula id="equ1">
<mml:math id="m1">
<mml:mrow>
<mml:msub>
<mml:mrow>
<mml:mi mathvariant="bold-italic">C</mml:mi>
<mml:mi mathvariant="bold-italic">H</mml:mi>
</mml:mrow>
<mml:mn mathvariant="bold">4</mml:mn>
</mml:msub>
<mml:mrow>
<mml:mi mathvariant="bold-italic">f</mml:mi>
<mml:mi mathvariant="bold-italic">l</mml:mi>
<mml:mi mathvariant="bold-italic">u</mml:mi>
<mml:mi mathvariant="bold-italic">x</mml:mi>
</mml:mrow>
<mml:mo>&#x3d;</mml:mo>
<mml:mfrac>
<mml:mi mathvariant="bold-italic">P</mml:mi>
<mml:mrow>
<mml:mi mathvariant="bold-italic">R</mml:mi>
<mml:mo>&#xd7;</mml:mo>
<mml:mi mathvariant="bold">T</mml:mi>
</mml:mrow>
</mml:mfrac>
<mml:mrow>
<mml:mo>&#xd7;</mml:mo>
</mml:mrow>
<mml:mfrac>
<mml:mrow>
<mml:mi mathvariant="bold-italic">V</mml:mi>
</mml:mrow>
<mml:mrow>
<mml:mi mathvariant="bold-italic">A</mml:mi>
</mml:mrow>
</mml:mfrac>
<mml:mrow>
<mml:mo>&#xd7;</mml:mo>
</mml:mrow>
<mml:mfrac>
<mml:mrow>
<mml:mo>&#x394;</mml:mo>
<mml:mi mathvariant="bold">C</mml:mi>
</mml:mrow>
<mml:mrow>
<mml:mo>&#x394;</mml:mo>
<mml:mi mathvariant="bold">t</mml:mi>
</mml:mrow>
</mml:mfrac>
</mml:mrow>
</mml:math>
</disp-formula>
</p>
<p>Where, P is the air pressure at the sampling site, R denotes the gas constant, T is the temperature inside the chamber, V is the volume of the chamber, A is the surface area of the sampling soil, and &#x394;C/&#x394;t is the linear slope of the concentration change during the sampling period.</p>
<p>Daily flux data were plotted over time to generate cumulative emissions by applying a linear interpolation between sampling days. This approach allowed for data integration. To determine the CH<sub>4</sub> flux attributed to the treatments, the cumulative emissions were subtracted from the ambient gas collected on the same day.</p>
<p>Soil mineral nitrogen content was assessed at the end of the incubation period by extracting it with 2&#xa0;M KCl and conducting colorimetric analysis to determine the levels of ammonium (<xref ref-type="bibr" rid="B26">Forster, 1995</xref>) and nitrate (<xref ref-type="bibr" rid="B22">Doane and Horwath, 2003</xref>).</p>
</sec>
<sec id="s2-5">
<title>2.5 Statistical analysis</title>
<p>To verify the normality of the residuals and homogeneity of variances, the data were analyzed using the Shapiro-Wilk and Levene tests, respectively. When the presence of outliers was detected, they were excluded from the analysis. Analysis of variance (ANOVA) was performed for the three incubation tests. When ANOVA was significant for land use, the means were compared using Tukey&#x2019;s test, considering <italic>p</italic> &#x3c; 0.05 as a significant difference. When the temperature and nitrogen variations were significant; regression adjustment was performed to identify the effects of the treatments. All statistical analyses were performed using the statistical program R (version 4.0.2; R Core Team, 2014).</p>
</sec>
</sec>
<sec sec-type="results" id="s3">
<title>3 Results</title>
<sec id="s3-1">
<title>3.1 Mineral N</title>
<p>The soil with agricultural use of 0 and 90&#xa0;kg&#xa0;N&#xa0;ha<sup>&#x2212;1</sup> exhibited the lowest ammonium content (7.50&#xa0;mg&#xa0;N-NH<sub>4</sub>&#xa0;kg<sup>&#x2212;1</sup> of dry soil), whereas the forest treatment at 25&#xb0;C showed the highest ammonium content (30.0&#xa0;mg&#xa0;N-NH<sub>4</sub>&#xa0;kg<sup>&#x2212;1</sup> dry soil). Conversely, the lowest nitrate content was observed in the forest treatment (0.30&#xa0;mg&#xa0;N-NO<sub>3</sub>&#xa0;kg<sup>&#x2212;1</sup> of dry soil), whereas the highest nitrate content was found in the pasture treatment at 180&#xa0;kg&#xa0;N&#xa0;ha<sup>&#x2212;1</sup> (12.5&#xa0;mg&#xa0;N-NO<sub>3</sub>&#xa0;kg<sup>&#x2212;1</sup> of dry soil). <xref ref-type="table" rid="T2">Table 2</xref> presents the results of soil mineral nitrogen analysis.</p>
<table-wrap id="T2" position="float">
<label>TABLE 2</label>
<caption>
<p>Ammonium concentrations (mg N-NH<sub>4</sub>&#xa0;kg<sup>&#x2212;1</sup> of dry soil) and nitrate (mg N-NO<sub>3</sub>&#xa0;kg<sup>&#x2212;1</sup> of dry soil) in soils of different land uses submitted to temperature of incubations or nitrogen addition.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th rowspan="2" align="center"/>
<th colspan="3" align="center">Land use</th>
</tr>
<tr>
<th align="center">Forest</th>
<th align="center">Pasture</th>
<th align="center">Agriculture</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td colspan="4" align="center">Initial</td>
</tr>
<tr>
<td align="center">Ammonium</td>
<td align="center">22.6</td>
<td align="center">32.1</td>
<td align="center">11.1</td>
</tr>
<tr>
<td align="center">Nitrate</td>
<td align="center">0.3</td>
<td align="center">1.6</td>
<td align="center">1.4</td>
</tr>
<tr>
<td colspan="4" align="center">Incubation 1</td>
</tr>
<tr>
<td align="center">Ammonium</td>
<td align="center">38.4</td>
<td align="center">28.7</td>
<td align="center">17.7</td>
</tr>
<tr>
<td align="center">Nitrate</td>
<td align="center">0.6</td>
<td align="center">2.4</td>
<td align="center">2.4</td>
</tr>
<tr>
<td colspan="4" align="center">Incubation 2</td>
</tr>
<tr>
<td align="center">Ammonium 25&#xb0;C</td>
<td align="center">30.0</td>
<td align="center">22.5</td>
<td align="center">18.0</td>
</tr>
<tr>
<td align="center">Nitrate 25&#xb0;C</td>
<td align="center">0.3</td>
<td align="center">0.4</td>
<td align="center">0.3</td>
</tr>
<tr>
<td align="center">Ammonium 30&#xb0;C</td>
<td align="center">26.3</td>
<td align="center">23.1</td>
<td align="center">15.1</td>
</tr>
<tr>
<td align="center">Nitrate 30&#xb0;C</td>
<td align="center">0.3</td>
<td align="center">0.5</td>
<td align="center">0.3</td>
</tr>
<tr>
<td align="center">Ammonium 35&#xb0;C</td>
<td align="center">25.3</td>
<td align="center">27.1</td>
<td align="center">14.8</td>
</tr>
<tr>
<td align="center">Nitrate 35&#xb0;C</td>
<td align="center">2.3</td>
<td align="center">0.6</td>
<td align="center">2.1</td>
</tr>
<tr>
<td align="center">Ammonium 40&#xb0;C</td>
<td align="center">23.7</td>
<td align="center">13.5</td>
<td align="center">15.6</td>
</tr>
<tr>
<td align="center">Nitrate 40&#xb0;C</td>
<td align="center">1.4</td>
<td align="center">1.5</td>
<td align="center">1.5</td>
</tr>
<tr>
<td colspan="4" align="center">Incubation 3</td>
</tr>
<tr>
<td align="center">Ammonium 0&#xa0;kg&#xa0;N</td>
<td align="center">12.2</td>
<td align="center">7.8</td>
<td align="center">7.5</td>
</tr>
<tr>
<td align="center">Nitrate 0&#xa0;kg&#xa0;N</td>
<td align="center">2.3</td>
<td align="center">8.3</td>
<td align="center">6.9</td>
</tr>
<tr>
<td align="center">Ammonium 90&#xa0;kg&#xa0;N</td>
<td align="center">20.4</td>
<td align="center">10.1</td>
<td align="center">7.5</td>
</tr>
<tr>
<td align="center">Nitrate 90&#xa0;kg&#xa0;N</td>
<td align="center">2.4</td>
<td align="center">11.8</td>
<td align="center">14.2</td>
</tr>
<tr>
<td align="center">Ammonium 180&#xa0;kg&#xa0;N</td>
<td align="center">25.2</td>
<td align="center">14.2</td>
<td align="center">20.5</td>
</tr>
<tr>
<td align="center">Nitrate 180&#xa0;kg&#xa0;N</td>
<td align="center">1.9</td>
<td align="center">12.5</td>
<td align="center">7.1</td>
</tr>
<tr>
<td align="center">Ammonium 270&#xa0;kg&#xa0;N</td>
<td align="center">43.4</td>
<td align="center">26.1</td>
<td align="center">37.3</td>
</tr>
<tr>
<td align="center">Nitrate 270&#xa0;kg&#xa0;N</td>
<td align="center">2.8</td>
<td align="center">6.2</td>
<td align="center">4.8</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec id="s3-2">
<title>3.2 Effects of land use on CH<sub>4</sub> emissions</title>
<p>When evaluating the effect of land use, higher total emissions of CH<sub>4</sub> (<italic>p</italic> &#x3c; 0.001) were observed in pasture soil (470&#xa0;&#x3bc;g CH<sub>4</sub>&#xa0;g<sup>&#x2212;1</sup> of dry soil; <xref ref-type="fig" rid="F2">Figure 2</xref>) compared the soils of the other two systems. In contrast, there was a process of oxidation of CH<sub>4</sub> in tropical rainforest soils (&#x2212;303&#xa0;&#x3bc;g CH<sub>4</sub>&#xa0;g<sup>&#x2212;1</sup> of dry soil) and agriculture (&#x2212;267&#xa0;&#x3bc;g CH<sub>4</sub>&#xa0;g<sup>&#x2212;1</sup> of dry soil), which did not differ (<italic>p</italic> &#x3e; 0.05) between them. Therefore, these values are considered negative. Throughout the 25&#xa0;days of incubation, the highest CH<sub>4</sub> yields occurred between days 2 and 3 in the pasture soils, ranging from 263 to 275&#xa0;ng CH<sub>4</sub>&#xa0;g<sup>&#x2212;1</sup> of dry soil day<sup>&#x2212;1</sup>. After this period, the emissions remained at zero until the end of the experimental period. CH<sub>4</sub> emissions from forest soils and agricultural land resulted in an almost undetectable flux over the 25&#xa0;days of incubation (<xref ref-type="fig" rid="F3">Figure 3</xref>).</p>
<fig id="F2" position="float">
<label>FIGURE 2</label>
<caption>
<p>Total CH<sub>4</sub> emissions (&#x3bc;g CH<sub>4</sub>&#xa0;g<sup>&#x2212;1</sup> of dry soil day<sup>&#x2212;1</sup>) in soils of different land use systems in the Brazilian Amazon. Different capital letters differ by Tukey&#x2019;s test (<italic>p</italic> &#x3c; 0.05).</p>
</caption>
<graphic xlink:href="fenvs-11-1244152-g002.tif"/>
</fig>
<fig id="F3" position="float">
<label>FIGURE 3</label>
<caption>
<p>CH<sub>4</sub> fluxes (ng CH<sub>4</sub>&#xa0;g<sup>&#x2212;1</sup> of dry soil day<sup>&#x2212;1</sup>) in different land use systems in the Amazon.</p>
</caption>
<graphic xlink:href="fenvs-11-1244152-g003.tif"/>
</fig>
</sec>
<sec id="s3-3">
<title>3.3 Effects of incubation temperature on CH<sub>4</sub> emissions</title>
<p>An interaction effect between the land-use system and temperature (<italic>p</italic> &#x3c; 0.001) was observed. The forest and agriculture treatments presented the lowest (<italic>p</italic> &#x3c; 0.001) emissions of CH<sub>4</sub> among the land uses, except at the temperature of 40&#xb0;C, where the lowest production was observed only in the agricultural soil (<italic>p</italic> &#x3e; 0.05). In the pasture soil, a negative quadratic effect (<italic>p</italic> &#x3c; 0.001) was observed in gas emissions as a function of temperature, where the lowest gas production was observed at temperatures of 35&#xb0;C. Forest and agricultural soils did not vary (<italic>p</italic> &#x3e; 0.05) in the emissions of CH<sub>4</sub> with the increase in incubation temperature. Pasture soils showed the highest methane emissions, regardless of the temperature applied, while Forest and agricultural soils showed no statistical difference (<italic>p</italic> &#x3e; 0.05; <xref ref-type="table" rid="T3">Table 3</xref>).</p>
<table-wrap id="T3" position="float">
<label>TABLE 3</label>
<caption>
<p>Total CH<sub>4</sub> emissions (&#x3bc;g CH<sub>4</sub>&#xa0;g<sup>&#x2212;1</sup> of dry soil) in different land use systems, subjected to temperature levels.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th rowspan="2" align="center">Land use</th>
<th colspan="4" align="center">Temperature (&#xb0;C)</th>
<th rowspan="2" align="center">Average</th>
<th rowspan="2" align="center">Regression model</th>
<th rowspan="2" align="center">
<italic>R</italic>
<sup>2</sup>
</th>
</tr>
<tr>
<th align="center">25</th>
<th align="center">30</th>
<th align="center">35</th>
<th align="center">40</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="center">Forest</td>
<td align="center">12.2&#xa0;b</td>
<td align="center">16.8&#xa0;b</td>
<td align="center">21.4&#xa0;b</td>
<td align="center">4.4&#xa0;b</td>
<td align="center">13.7</td>
<td align="center">Y &#x3d; 13.7</td>
<td align="center">-</td>
</tr>
<tr>
<td align="center">Pasture</td>
<td align="center">1,130.5 a</td>
<td align="center">246.0 a</td>
<td align="center">169.8 a</td>
<td align="center">360.2 a</td>
<td align="center">476.6</td>
<td align="center">Y &#x3d; 10.68<sup>2</sup> - 741.68X &#x2212; 12,963</td>
<td align="center">0.90</td>
</tr>
<tr>
<td align="center">Agriculture</td>
<td align="center">1.8c</td>
<td align="center">27.2&#xa0;b</td>
<td align="center">&#x2212;1.0&#xa0;b</td>
<td align="center">&#x2212;0.8&#xa0;b</td>
<td align="center">6.8</td>
<td align="center">Y &#x3d; 6.8</td>
<td align="center">-</td>
</tr>
<tr>
<td align="center">Average</td>
<td align="center">381.5</td>
<td align="center">96.7</td>
<td align="center">63.4</td>
<td align="center">121.3</td>
<td align="left"/>
<td align="left"/>
<td align="left"/>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>Different lowercase letters within a column represent differences from each other according to Tukey&#x2019;s test (<italic>p</italic> &#x3c; 0.05).</p>
</fn>
</table-wrap-foot>
</table-wrap>
<p>Temperature variation altered the flux of CH<sub>4</sub> in forest soils (<xref ref-type="fig" rid="F4">Figure 4A</xref>). At temperatures of 30&#xb0;C, 35&#xb0;C, and 40&#xb0;C, the flux began on the first day of incubation, whereas at 25&#xb0;C, it began only on the third day. At each studied temperature, peak production occurred at different times. At 25&#xb0;C, the peak was observed on the seventh day, producing &#x223c;103&#xa0;ng CH<sub>4</sub>&#xa0;g<sup>&#x2212;1</sup>&#xa0;day<sup>&#x2212;1</sup>. At 30&#xb0;C, the peak was on day 21, with &#x223c;109&#xa0;ng CH<sub>4</sub>&#xa0;g<sup>&#x2212;1</sup>&#xa0;day<sup>&#x2212;1</sup>. At 35&#xb0;C on the ninth day, with &#x223c;62&#xa0;ng CH<sub>4</sub>&#xa0;g<sup>&#x2212;1</sup>&#xa0;day<sup>&#x2212;1</sup>, and at 40&#xb0;C, two peaks were observed on the ninth day (&#x223c;135&#xa0;ng CH<sub>4</sub>&#xa0;g<sup>&#x2212;1</sup>&#xa0;day<sup>&#x2212;1</sup>) and 19th day (&#x223c;146&#xa0;ng CH<sub>4</sub>&#xa0;g<sup>&#x2212;1</sup>&#xa0;day<sup>&#x2212;1</sup>). Production began on the first day in pasture soil (<xref ref-type="fig" rid="F4">Figure 4B</xref>). However, a higher flux was observed at 25&#xb0;C, with peak production reaching &#x223c;12,160&#xa0;ng CH<sub>4</sub>&#xa0;g<sup>&#x2212;1</sup>&#xa0;day<sup>&#x2212;1</sup> on the 25th day of incubation. In the agricultural soil (<xref ref-type="fig" rid="F4">Figure 4C</xref>), higher fluxes were observed at two temperatures of 25&#xb0;C, with two production peaks on the seventh day (165&#xa0;ng CH<sub>4</sub>&#xa0;g<sup>&#x2212;1</sup>&#xa0;day<sup>&#x2212;1</sup>) and on the 11th day (205&#xa0;ng CH<sub>4</sub>&#xa0;g<sup>&#x2212;1</sup>&#xa0;day<sup>&#x2212;1</sup>) and at 40&#xb0;C, a peak on the sixth day (148&#xa0;ng CH<sub>4</sub>&#xa0;g<sup>&#x2212;1</sup>&#xa0;day<sup>&#x2212;1</sup>). The CH<sub>4</sub> fluxes at 30&#xb0;C and 35&#xb0;C remained unchanged throughout the incubation period.</p>
<fig id="F4" position="float">
<label>FIGURE 4</label>
<caption>
<p>CH<sub>4</sub> fluxes (ng CH<sub>4</sub>&#xa0;g<sup>&#x2212;1</sup> of dry soil<sup>&#x2212;1</sup>&#xa0;day<sup>&#x2212;1</sup>) in different land use systems of use of <bold>(A)</bold> forest; <bold>(B)</bold> pasture; <bold>(C)</bold> agriculture in the Brazilian Amazon, subjected to different soil incubation temperatures.</p>
</caption>
<graphic xlink:href="fenvs-11-1244152-g004.tif"/>
</fig>
</sec>
<sec id="s3-4">
<title>3.4 Effect of soil nitrogen addition on CH<sub>4</sub> emissions</title>
<p>An interaction (<italic>p</italic> &#x3c; 0.001) between land use and soil nitrogen on the total emission of CH<sub>4</sub> was observed (<xref ref-type="table" rid="T4">Table 4</xref>). The addition of nitrogen to the soil affected (<italic>p</italic> &#x3c; 0.05) the total emission of CH<sub>4</sub> in all soils. A quadratic effect was observed for total emissions of CH<sub>4</sub> in forest soils (<italic>p</italic> &#x3d; 0.005), with higher values observed in soils that received 180&#xa0;kg&#xa0;N&#xa0;ha<sup>&#x2212;1</sup>. In pasture soils, a decreasing linear effect was observed (<italic>p</italic> &#x3d; 0.01), whereas agricultural soils showed an increasing linear effect (<italic>p</italic> &#x3d; 0.04) as the nitrogen concentration in the soil increased. Pasture soils showed higher total emissions of CH<sub>4</sub>, regardless of soil nitrogen concentration, with values ranging from 129.2 to 52.8&#xa0;&#x3bc;g CH<sub>4</sub>&#xa0;g<sup>&#x2212;1</sup>.</p>
<table-wrap id="T4" position="float">
<label>TABLE 4</label>
<caption>
<p>Total CH<sub>4</sub> emissions (&#x3bc;g CH<sub>4</sub>&#xa0;g<sup>&#x2212;1</sup> of dry soil) in different land use systems subjected to nitrogen addition in the soil.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th rowspan="2" align="center">Land use</th>
<th colspan="4" align="center">Soil nitrogen (kg N ha<sup>&#x2212;1</sup>)</th>
<th rowspan="2" align="center">Average</th>
<th rowspan="2" align="center">Regression model</th>
<th rowspan="2" align="center">
<italic>R</italic>
<sup>2</sup>
</th>
</tr>
<tr>
<th align="center">0</th>
<th align="center">90</th>
<th align="center">180</th>
<th align="center">270</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="center">Forest</td>
<td align="center">5.2&#xa0;b</td>
<td align="center">6.6&#xa0;b</td>
<td align="center">22.2&#xa0;b</td>
<td align="center">3.0&#xa0;b</td>
<td align="center">9.3</td>
<td align="center">Y &#x3d; &#x2212;0.20X<sup>2</sup> &#x2b; 13.57X&#x2014;207.75</td>
<td align="center">0.42</td>
</tr>
<tr>
<td align="center">Pasture</td>
<td align="center">129.2 a</td>
<td align="center">88.6 a</td>
<td align="center">51.8 a</td>
<td align="center">52.8 a</td>
<td align="center">80.6</td>
<td align="center">Y &#x3d; &#x2212;5.32X &#x2b; 253.50</td>
<td align="center">0.58</td>
</tr>
<tr>
<td align="center">Agriculture</td>
<td align="center">0.2&#xa0;b</td>
<td align="center">9.6&#xa0;b</td>
<td align="center">5.8c</td>
<td align="center">34.0&#xa0;ab</td>
<td align="center">12.4</td>
<td align="center">Y &#x3d; 1.95X&#x2014;51.04</td>
<td align="center">0.70</td>
</tr>
<tr>
<td align="center">Average</td>
<td align="center">44.9</td>
<td align="center">34.9</td>
<td align="center">26.6</td>
<td align="center">29.9</td>
<td align="left"/>
<td align="left"/>
<td align="left"/>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>Different lowercase letters within a column represent differences from each other according to Tukey&#x2019;s test (<italic>p</italic> &#x3c; 0.05).</p>
</fn>
</table-wrap-foot>
</table-wrap>
<p>Nitrogen rates did little to alter the flux of CH<sub>4</sub> in forest soils (<xref ref-type="fig" rid="F5">Figure 5A</xref>) or in agricultural soils (<xref ref-type="fig" rid="F5">Figure 5C</xref>) with incubation time. In forest soils, only one large production peak was observed on the third day of incubation (&#x223c;390&#xa0;ng CH<sub>4</sub>&#xa0;g<sup>&#x2212;1</sup>&#xa0;day<sup>&#x2212;1</sup>), whereas agricultural soils showed peak production on the sixth day of incubation (&#x223c;1,285&#xa0;ng CH<sub>4</sub>&#xa0;g<sup>&#x2212;1</sup>&#xa0;day<sup>&#x2212;1</sup>). In contrast, the pasture soil (<xref ref-type="fig" rid="F5">Figure 5B</xref>) presented greater variation between the applied doses, with higher (&#x3e;600&#xa0;ng CH<sub>4</sub>&#xa0;g<sup>&#x2212;1</sup>) fluxes observed when urea was not applied to the soil. When nitrogen fertilizer was applied, production peaks decreased as the dose increased.</p>
<fig id="F5" position="float">
<label>FIGURE 5</label>
<caption>
<p>CH<sub>4</sub> fluxes (ng CH<sub>4</sub>&#xa0;g<sup>&#x2212;1</sup> of dry soil day<sup>&#x2212;1</sup>) in different land uses systems <bold>(A)</bold> forest; <bold>(B)</bold> pasture; <bold>(C)</bold> agriculture in the Brazilian Amazon, subject to the addition of nitrogen in the soil.</p>
</caption>
<graphic xlink:href="fenvs-11-1244152-g005.tif"/>
</fig>
</sec>
</sec>
<sec sec-type="discussion" id="s4">
<title>4 Discussion</title>
<sec id="s4-1">
<title>4.1 Effect of land use on CH<sub>4</sub> emission</title>
<p>When different land use types were evaluated, higher emissions of CH<sub>4</sub> in pasture soils were found (<xref ref-type="fig" rid="F1">Figure 1</xref>). According to several studies (<xref ref-type="bibr" rid="B43">Potter et al., 1996</xref>; <xref ref-type="bibr" rid="B5">Azevedo et al., 2018</xref>; <xref ref-type="bibr" rid="B37">Machacova et al., 2020</xref>), forest soils are sinks for CH<sub>4</sub> due to the vast methanotrophic communities present in the soil. Land-use change tends to cause changes in the soil microbial community, stimulating methanogenic <italic>Archaea</italic> (<xref ref-type="bibr" rid="B34">Kroeger et al., 2021</xref>). These changes were due to changes in the botanical community, soil pH, nutrient cycling, and allocation of carbon in the soil. This set of factors alters the oxidation of CH<sub>4</sub> in the soil, causing the area to emit greater amounts of gas (<xref ref-type="bibr" rid="B53">Tate, 2015</xref>).</p>
<p>CH<sub>4</sub> is produced in the soil by the decomposition of organic matter (<xref ref-type="bibr" rid="B56">Ye et al., 2015</xref>). Pasture soils are in a constant cycle of tiller appearance and senescence, thus increasing the rate of litter deposition in the soil, which enters the decomposition process (<xref ref-type="bibr" rid="B14">Chianese et al., 2009</xref>). The agricultural soil studied was characterized by a large spacing between lines (2&#xa0;m &#xd7; 2&#xa0;m), being a well-ventilated soil, providing greater oxidation of CH<sub>4</sub> (<xref ref-type="bibr" rid="B32">Kirschke et al., 2013</xref>; <xref ref-type="bibr" rid="B8">Broucek, 2014</xref>).</p>
<p>The bacterial community is also responsible for CH<sub>4</sub> cycling and several factors affect the methanogenic community. The conversion from areas by forest to pasture changes the soil microbial community, increasing the abundance and action of methanogenic archaea, as a consequence of this, pasture tends to emit more methane into the atmosphere (<xref ref-type="bibr" rid="B3">Alves et al., 2022</xref>). Among the factors, soil moisture and the addition of nutrients may be the largest contributors to CH<sub>4</sub> emissions (<xref ref-type="bibr" rid="B33">Knief, 2019</xref>). CH<sub>4</sub> production in pasture soils and oxidation in forest and agricultural soils occur during the same period because of the addition of nitrogen and water to the soil.</p>
</sec>
<sec id="s4-2">
<title>4.2 Effect of incubation temperature on CH<sub>4</sub> emission</title>
<p>Temperature variations are important in studies of greenhouse gas emissions, as global warming tends to increase the temperatures of the globe over the years. Therefore, understanding how these variations alter CH<sub>4</sub> emission patterns today will help in the research for alternatives in the future.</p>
<p>CH<sub>4</sub> emissions from forest soils and agriculture are independent of temperature because forest soils are considered resilient. Therefore, they are less affected by adverse conditions, such as temperature variations, thereby reducing CH<sub>4</sub> emissions in the system (<xref ref-type="bibr" rid="B42">Peri et al., 2017</xref>). A study that evaluated 41 peer-reviewed publications observed that a temperature rise did not much affect CH<sub>4</sub> emissions from forested areas (<xref ref-type="bibr" rid="B21">Dijkstra et al., 2012</xref>). In turn, the agricultural soils studied are black pepper, a crop that stands out for its growth habit, of the creeper type. The spacing used in the study was large, about 2&#xa0;m &#xd7; 2&#xa0;m, thus decreasing the content of organic matter present in the soil and keeping the soil more aerated, which causes the methanogenic archaea communities to decrease (<xref ref-type="bibr" rid="B1">Abduh et al., 2020</xref>).</p>
<p>In pasture soils, the highest emissions at 25&#xb0;C are due to the ability of the soil to maintain its moisture for longer than at temperatures of 30&#xb0;C and 35&#xb0;C, causing methanogenic bacteria to carry out methanogenesis (<xref ref-type="bibr" rid="B15">Conrad, 2009</xref>; <xref ref-type="bibr" rid="B21">Dijkstra et al., 2012</xref>). In pasture soils, significant variation in the levels of ammonium before incubation was observed, showing an increase as the temperature increased (except at 40&#xb0;C). Another important point to be observed is the presence of bovine feces in the area, in which authors show that greater emissions occur above 20&#xb0;C, however, increasing this temperature beyond 25&#xb0;C decreases the activities of methanogenic bacteria (<xref ref-type="bibr" rid="B9">C&#xe1;rdenas et al., 2021</xref>; <xref ref-type="bibr" rid="B45">Rennie et al., 2021</xref>).</p>
<p>As seen in the previous study, land-use changes directly impact CH<sub>4</sub> emissions, as at all temperatures studied, CH<sub>4</sub> emissions were higher in pasture soils. Moreover, the change in land use alters the patterns of the soil, whether microbiological, structural, or biodiversity, present in the environment (<xref ref-type="bibr" rid="B6">Ball, 2013</xref>; <xref ref-type="bibr" rid="B34">Kroeger et al., 2021</xref>). In addition, the lower emissions of CH<sub>4</sub> from agricultural soil (black pepper) concerning pastures show that more aerated soils with low litter deposition emit less CH<sub>4</sub> into the atmosphere (<xref ref-type="bibr" rid="B32">Kirschke et al., 2013</xref>; <xref ref-type="bibr" rid="B54">Valenzuela et al., 2017</xref>).</p>
<p>The flux in the pasture soil can be well observed because the variations over time in the N-NH<sub>4</sub>
<sup>&#x2b;</sup> contents are greater, thus favoring the oxidation of soil CH<sub>4</sub>. However, the peaks observed in the forest and agricultural soils can be explained precisely by the moments at which the soil presented an environment conducive to gas production.</p>
</sec>
<sec id="s4-3">
<title>4.3 Effect of soil nitrogen addition on CH<sub>4</sub> emission</title>
<p>Agriculture and livestock contribute significantly to greenhouse gas emissions owing to practices that alter soil carbon and nitrogen dynamics (<xref ref-type="bibr" rid="B7">Bento et al., 2018</xref>). Fertilization can affect these emissions. Nitrogen fertilization contributes greatly to soil quality and increases crop yield and nutritional value (<xref ref-type="bibr" rid="B20">Delevatti et al., 2019</xref>; <xref ref-type="bibr" rid="B46">Santos et al., 2020</xref>). However, the source, dose, and application form must be considered because inappropriate use increases greenhouse gas emissions (<xref ref-type="bibr" rid="B44">Raposo et al., 2020</xref>; <xref ref-type="bibr" rid="B17">Corr&#xea;a et al., 2021</xref>; <xref ref-type="bibr" rid="B10">Cardoso et al., 2022</xref>).</p>
<p>The fertilizer used in the treatment was urea, an ammoniated fertilizer that increases ammonium levels in pasture soils as the dose increases. Ammonium directly affects methanotrophy, thereby increasing CH<sub>4</sub> oxidation in the system (<xref ref-type="bibr" rid="B29">He et al., 2019</xref>). The same pattern was not observed in the agricultural soils. However, emissions matched only at higher nitrogen doses.</p>
<p>The variation found in the forest soils was due to the peak observed at a dose of 180&#xa0;kg&#xa0;N&#xa0;ha<sup>&#x2212;1</sup> on the third day of evaluation. However, the soil quickly returned to the emission patterns, indicating the resilience of forest soils (<xref ref-type="bibr" rid="B42">Peri et al., 2017</xref>). A similar pattern was observed in agricultural soils at a dose of 270&#xa0;kg&#xa0;N&#xa0;ha<sup>&#x2212;1</sup>.</p>
<p>The peak observed in pasture soils at all doses was due to urea being converted to ammonia only between days 4 and 6 in the soil (<xref ref-type="bibr" rid="B29">He et al., 2019</xref>), which explains the drop in CH<sub>4</sub> yields after the sixth day of evaluation.</p>
</sec>
</sec>
<sec sec-type="conclusion" id="s5">
<title>5 Conclusion</title>
<p>CH<sub>4</sub> emissions from tropical rainforest soils and agriculture were lower and less affected by temperature and nitrogen availability. Pasture soils emit more CH<sub>4</sub> than forest soils and black pepper cultivation in the Brazilian Amazon, and different production peaks can be observed when pasture soil is subjected to temperature variation. Applying urea as a nitrogen fertilizer tends to reduce CH<sub>4</sub> emissions from pasture soils. Given this, the intensification of pasture use can be a management strategy in the face of climate change. Future work is required, especially regarding <italic>in situ</italic> achievements in the field of study.</p>
</sec>
</body>
<back>
<sec sec-type="data-availability" id="s6">
<title>Data availability statement</title>
<p>The raw data supporting the conclusion of this article will be made available by the authors, without undue reservation.</p>
</sec>
<sec id="s7">
<title>Author contributions</title>
<p>Conceptualization: NL, AC, JA, AR&#xea;; Data Curation: NL, AC, and JA; Formal Analysis: NL and AC; Funding Acquisition: AC, ARu, RR, and AR&#xea;; Investigation: NL, AC, and JA; Methodology: NL, AC, and JA; Project Administration: NL, AC, ARu, RR, and AR&#xea;; Supervision: AC; FD, CF, TS, and AR&#xea;; Validation: NL, AC, JA, VM, FD, CF, TS, and AR&#xea;; Visualization: NL, AC, VM, FD, CF, TS, ARu, RR, and AR&#xea;; Writing&#x2013;original draft Preparation: NL, AC, and AR&#xea;. Writing&#x2013;review and editing: NL, AC, VM, and AR&#xea;. All authors contributed to the article and approved the submitted version.</p>
</sec>
<sec id="s8">
<title>Funding</title>
<p>This study was financed in part by the Coordination for the Improvement of Higher Education Personnel&#x2014;Brasil (CAPES)&#x2014;Finance Code 001 and PDPG&#x2014;Amaz&#xf4;nia Legal (013/2020); Amazon Foundation for Studies and Research in the State of Par&#xe1;&#x2014;FAPESPA (2019/25234-0) and by the grants 2017/11272-5 and 2018/16273-0, S&#xe3;o Paulo Research Foundation (FAPESP).</p>
</sec>
<ack>
<p>We would like to thank the Study Group on Ruminants and Forage Production of the Amazon (GERFAM) and the Study Groups on Forage (UnespFor) for their support in conducting the experiments. To Federal University of Par&#xe1; (UFPA) for the financial of Qualified Publication Support Program (PAPQ/UFPA&#x2014;02/2023). We would like to thank Editage (<ext-link ext-link-type="uri" xlink:href="http://www.editage.com">www.editage.com</ext-link>) for English language editing.</p>
</ack>
<sec sec-type="COI-statement" id="s9">
<title>Conflict of interest</title>
<p>Author VM was employed by Brazilian Agricultural Research Corporation.</p>
<p>The remaining authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec sec-type="correction-note" id="s10">
<title>Correction note</title>
<p>This article has been corrected with minor changes. These changes do not impact the scientific content of the article.</p>
</sec>
<sec sec-type="disclaimer" id="s11">
<title>Publisher&#x2019;s note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
</sec>
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