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<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">1407821</article-id>
<article-id pub-id-type="doi">10.3389/fenvs.2024.1407821</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Environmental Science</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Effects of rubber intercropping with native trees on litterfall and litter main nutrient return in Hainan Island, China</article-title>
<alt-title alt-title-type="left-running-head">Qi 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.2024.1407821">10.3389/fenvs.2024.1407821</ext-link>
</alt-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Qi</surname>
<given-names>Dongling</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="corresp" rid="c001">&#x2a;</xref>
<uri xlink:href="https://loop.frontiersin.org/people/2106623/overview"/>
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</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Wu</surname>
<given-names>Zhixiang</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="corresp" rid="c001">&#x2a;</xref>
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</contrib>
<contrib contrib-type="author">
<name>
<surname>Sun</surname>
<given-names>Rui</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/2078557/overview"/>
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</contrib>
<contrib contrib-type="author">
<name>
<surname>Yang</surname>
<given-names>Chuan</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
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<contrib contrib-type="author">
<name>
<surname>Zhang</surname>
<given-names>Xian</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
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</contrib>
<contrib contrib-type="author">
<name>
<surname>Li</surname>
<given-names>Shaobin</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
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<contrib contrib-type="author">
<name>
<surname>Che</surname>
<given-names>Xiufen</given-names>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
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<aff id="aff1">
<sup>1</sup>
<institution>Rubber Research Institute</institution>, <institution>Chinese Academy of Tropical Agricultural Sciences/Danzhou Investigation and Experiment Station of Tropical Crops</institution>, <institution>Ministry of Agriculture and Rural Affairs</institution>, <addr-line>Danzhou</addr-line>, <country>China</country>
</aff>
<aff id="aff2">
<sup>2</sup>
<institution>Wenchang Rubber Research Institute of Hainan State Farms / Wenchang Experimental Station</institution>, <institution>China Industry Technological System Construction of Natural Rubber</institution>, <addr-line>Wenchang</addr-line>, <country>China</country>
</aff>
<aff id="aff3">
<sup>3</sup>
<institution>Hainan Meteorological Bureau</institution>, <addr-line>Haikou</addr-line>, <country>China</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/2016713/overview">Mukesh K. Gautam</ext-link>, The City University of New York, United States</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/544338/overview">Monika Rawat</ext-link>, Auburn, United States</p>
<p>
<ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/2330383/overview">Abhishek Kumar</ext-link>, Forest Research Institute (FRI), India</p>
</fn>
<corresp id="c001">&#x2a;Correspondence: Zhixiang Wu, <email>zhixiangwu@catas.cn</email>; Dongling Qi, <email>donglingqi@163.com</email>
</corresp>
</author-notes>
<pub-date pub-type="epub">
<day>02</day>
<month>07</month>
<year>2024</year>
</pub-date>
<pub-date pub-type="collection">
<year>2024</year>
</pub-date>
<volume>12</volume>
<elocation-id>1407821</elocation-id>
<history>
<date date-type="received">
<day>27</day>
<month>03</month>
<year>2024</year>
</date>
<date date-type="accepted">
<day>05</day>
<month>06</month>
<year>2024</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2024 Qi, Wu, Sun, Yang, Zhang, Li and Che.</copyright-statement>
<copyright-year>2024</copyright-year>
<copyright-holder>Qi, Wu, Sun, Yang, Zhang, Li and Che</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>Understanding the process of litterfall production is crucial for sustainable development of plantations. However, the underlying dynamics of litterfall and its nutrient return in plantation agroforestry systems remain unclear. In this study, we investigated litterfall, including leaves, branches, flowers, and fruits, in three patterns: <italic>Hevea</italic> monoculture system (RM), <italic>Hevea&#x2013;Michelia</italic> intercropping system (RAS1), and <italic>Hevea&#x2013;Mytilaria</italic> intercropping system (RAS2) in Hainan Island, China. Our findings indicate that total litterfall was significantly higher in RAS1 (27,309&#xa0;kg&#xa0;ha<sup>&#x2212;1</sup>) and RAS2 (34,477&#xa0;kg&#xa0;ha<sup>&#x2212;1</sup>) than in RM (22,364&#xa0;kg&#xa0;ha<sup>&#x2212;1</sup>) and was predominantly composed of leaf litterfall in all three patterns, followed by branches, flowers, and fruits. The seasonal dynamics litterfall production of RM, RAS1, and RAS2 showed characteristic patterns. Litterfall nutrients exhibited peak and sub-peak monthly dynamics, peaking from February to March, during the dry season. Total nitrogen (TN), total phosphorus (TP), and total potassium (TK) content of annual litterfall in RAS1 significantly increased by 120&#xa0;kg&#xa0;ha<sup>&#x2212;1</sup>, 30&#xa0;kg&#xa0;ha<sup>&#x2212;1</sup>, and 139&#xa0;kg&#xa0;ha<sup>&#x2212;1</sup>, respectively, compared to those in RM, with percentage increases of 67.88%, 122.79% and 96.27%, respectively. Similarly, TN, TP, and TK content of annual litterfall in RAS2 significantly increased by 185&#xa0;kg&#xa0;ha<sup>&#x2212;1</sup>, 35&#xa0;kg&#xa0;ha<sup>&#x2212;1</sup>, and 170&#xa0;kg&#xa0;ha<sup>&#x2212;1</sup>, respectively, with percentage increases of 103.70%, 159.15% and 139.46%, respectively, for the abovementioned in RM. Litterfall showed a strong correlation with monthly average temperature, monthly minimum temperature, and monthly average wind speed, contributing 80.5%, 75.5%, 69.8%, and 69.6% to the total litterfall and its components, respectively. Further analysis indicated that monthly average temperature, monthly minimum temperature, and monthly average wind speed contributed 73.9%, 43.0%, and 66.6%, respectively, to TN, TP, and TK content of the annual litterfall, highlighting the significant influence of temperature and wind speed. These findings enhance our understanding of carbon and nutrient cycling and contribute to the sustainable management of tropical plantation ecosystems.</p>
</abstract>
<kwd-group>
<kwd>
<italic>Hevea brasiliensis</italic>
</kwd>
<kwd>rubber-based agroforestry system</kwd>
<kwd>litterfall</kwd>
<kwd>climatic factor</kwd>
<kwd>intercrop</kwd>
</kwd-group>
<custom-meta-wrap>
<custom-meta>
<meta-name>section-at-acceptance</meta-name>
<meta-value>Biogeochemical Dynamics</meta-value>
</custom-meta>
</custom-meta-wrap>
</article-meta>
</front>
<body>
<sec id="s1">
<title>1 Introduction</title>
<p>With the pressing challenges of global change and the imperative for sustainable ecosystems, it becomes essential to ensure a balanced and efficient utilization of materials and energy within each ecosystem. Litter production and decomposition represent pivotal aspects of ecosystem dynamics, playing a crucial ecological role (<xref ref-type="bibr" rid="B9">Liu and Sun, 2013</xref>). The biophysical processes involved in litterfall contribute significantly to maintaining soil nutrient levels, enhancing primary productivity, regulating nutrient cycling and energy flow, and even elucidating litter response to global change (<xref ref-type="bibr" rid="B30">Waring and Schlesinger et al., 1985</xref>; <xref ref-type="bibr" rid="B14">Liu et al., 2024</xref>). Particularly in forest ecosystems, the litterfall process is instrumental in biogeochemical cycling of nutrients (<xref ref-type="bibr" rid="B7">Krishna and Mohan, 2017</xref>). Over half of the net primary productivity in forest ecosystems undergoes decomposition as litterfall, replenishing soil nutrients (<xref ref-type="bibr" rid="B23">Schlesinger, 1997</xref>). The litterfall process is influenced by various environmental factors (<xref ref-type="bibr" rid="B20">Piscart et al., 2011</xref>; <xref ref-type="bibr" rid="B29">Wang et al., 2015</xref>). Therefore, studying litterfall process and the influencing factors holds significant practical importance for forest ecosystem management amid global change.</p>
<p>As the world economy globalizes and the material needs of the human population worldwide continue to escalate, the scale and intensity of plantations have been expanding worldwide. However, increasing management intensity in plantations poses challenges in simultaneously practicing sustainability measures and ensuring quality assurance (<xref ref-type="bibr" rid="B10">Liu JQ et al., 2018</xref>; <xref ref-type="bibr" rid="B24">Singh et al., 2021</xref>). Hence, there arises a need to explore the diverse and crucial roles of plantation systems in material circulation, product supply, ecological environment enhancement, and response to global change. The sustainability of growing plantation systems is fundamental in achieving these goals. The rubber tree [<italic>Hevea brasiliensis</italic> (Willd. ex A. Juss.) M&#xfc;ll. Arg.] stands out as an economically significant crop in the tropical systems worldwide. Since its introduction in 1904, it has occupied 1,167,300&#xa0;ha in southern China (<xref ref-type="bibr" rid="B26">Tang et al., 2016</xref>). Unfortunately, rubber monocultures have led to severe soil problems, including nutrient leaching, soil erosion, and compaction (<xref ref-type="bibr" rid="B18">Mann, 2009</xref>; <xref ref-type="bibr" rid="B15">Liu, 2014</xref>; <xref ref-type="bibr" rid="B12">Liu et al., 2015</xref>; <xref ref-type="bibr" rid="B11">Liu SR et al., 2018</xref>). Notably, soil total nitrogen (TN), available phosphorus, and total phosphorous (TP) degraded more rapidly in rubber monocultures than in rainforests, posing a threat to green development and biodiversity in tropical systems. This trend threatens green development and biodiversity in tropical systems (<xref ref-type="bibr" rid="B25">Sun et al., 2016</xref>; <xref ref-type="bibr" rid="B6">Jiang et al., 2017</xref>). Agroforestry ecosystems, or intercropping systems, represent sustainable land use patterns wherein agricultural and production systems harmonize to achieve efficient and sustainable utilization of materials and energy, thereby enhancing total productivity and economic benefits (<xref ref-type="bibr" rid="B1">Arisara et al., 2018</xref>). By leveraging ecological complementarity between different species, agroforestry systems can conserve water and soil and increase carbon storage (<xref ref-type="bibr" rid="B4">Ehrenbergerov&#xe1; et al., 2016</xref>; <xref ref-type="bibr" rid="B31">Weerasekara et al., 2016</xref>). Hence, some studies advocate for the establishment of rubber-based agroforestry systems using <italic>Hevea</italic> and other crops or tree species as an effective method to overcome the aforementioned obstacles (<xref ref-type="bibr" rid="B32">Wu et al., 2016</xref>; <xref ref-type="bibr" rid="B21">Qi et al., 2021</xref>).</p>
<p>Several studies have explored litterfall dynamics within rubber-based agroforestry ecosystems (<xref ref-type="bibr" rid="B13">Liu et al., 2017</xref>; <xref ref-type="bibr" rid="B37">Zhu et al., 2021</xref>). However, the challenges presented by rubber plantation ecosystems concerning soil quality degradation and their impact on global climate change remain unclear. Moreover, there is a notable gap in research regarding the influence of rubber-based agroforestry on litterfall composition and nutrient return patterns. We hypothesize that rubber intercropping with native trees can significantly change litterfall and litter main nutrient return. This study speculates that rubber-based agroforestry may alter litterfall composition, leading to increased litterfall and nutrient content in rubber plantations. Through the analysis of litterfall dynamics and its primary nutrient return mechanisms in rubber agroforestry systems, this research aims to provide insights crucial for sustainable development of rubber plantations.</p>
</sec>
<sec sec-type="materials|methods" id="s2">
<title>2 Materials and methods</title>
<sec id="s2-1">
<title>2.1 Study site</title>
<p>The study area was designated within Wenchang District, Hainan, China, situated at coordinates 19&#xb0;36&#xa0;N and 110&#xb0;38&#x2019; E, at an elevation of 15&#xa0;m above sea level. This region experiences a tropical island monsoon climate characterized by a rainy season spanning from May to October. The average annual temperature is approximately 24&#xb0;C with an average annual sunshine duration of 1,954&#xa0;h. During the rainy season, heavy rainfall is common, contributing to an annual precipitation of 1,722&#xa0;mm on average, accompanied by a mean humidity level consistently exceeding 80%.</p>
</sec>
<sec id="s2-2">
<title>2.2 Experiment design</title>
<p>This experiment examined three treatments: the <italic>Hevea</italic> monoculture system (RM), <italic>Hevea</italic>&#x2013;<italic>Michelia</italic> intercropping system (RAS1), and <italic>Hevea&#x2013;Mytilaria</italic> intercropping system (RAS2). Each treatment had three replicates. Both trees tested in this study were 6 years old and consistently cultivated under the same management practices. The rubber trees were planted at a density of 3&#xa0;m &#xd7; 7&#xa0;m, resulting in a stocking density of 495 plants per hectare. In the intercropping system plantations of rubber trees with <italic>Michelia macclurei</italic>, the planting densities of each rubber tree were kept the same. <italic>M. macclurei</italic> and <italic>Mytilaria laosensis</italic> plants were positioned in the middle of every four rubber trees (<xref ref-type="fig" rid="F1">Figure 1</xref>). Throughout the year, each plant received 15&#xa0;kg (kg) of organic manure fertilizer, 0.5&#xa0;kg of calcium superphosphate, and 0.5&#xa0;kg of compound fertilizer.</p>
<fig id="F1" position="float">
<label>FIGURE 1</label>
<caption>
<p>Treatment designs for the <italic>Hevea</italic> monoculture system, <italic>Hevea</italic>&#x2013;<italic>Michelia</italic> intercropping system, and <italic>Hevea</italic>&#x2013;<italic>Mytilaria</italic> intercropping system.</p>
</caption>
<graphic xlink:href="fenvs-12-1407821-g001.tif"/>
</fig>
</sec>
<sec id="s2-3">
<title>2.3 Sample collection and pretreatment</title>
<p>Five litter traps measuring 1.0 &#xd7; 1.0&#xa0;m were placed on the ground beneath the forest canopy to collect litterfall, with each treatment replicated three times. These traps were strategically positioned in various locations, including the middle of trees, gaps between overlapping crowns, and both the middle and edge of a tree crown. To account for the seasonal variations in litterfall, collections were conducted monthly or bimonthly throughout the year. Stem, leaves, fruits, flowers, and other tissues were collected separately and weighed after drying in an oven (DHG-9620A, Shanghai Yiheng Scientific Instruments Co., Ltd.) at 105&#xb0;C. The TN content was determined using the Kjeldahl method. The TP content was determined using the molybdenum&#x2013;antimony anti-colorimetric method, and the total potassium (TK) content was analyzed using a flame spectrophotometer.</p>
</sec>
<sec id="s2-4">
<title>2.4 Data processing and analysis</title>
<p>The data in this study were analyzed using Microsoft Excel 2007. We employed one-way analysis of variance (ANOVA) and Duncan least significant difference test to examine the differences between treatments concerning litterfall, nutrient content of litterfall, and meteorological factors. The significance level was set at <italic>p</italic> &#x3c; 0.05.</p>
</sec>
</sec>
<sec sec-type="results" id="s3">
<title>3 Results</title>
<sec id="s3-1">
<title>3.1 Litterfall</title>
<sec id="s3-1-1">
<title>3.1.1 Total amount of litterfall</title>
<p>Intercropping altered the total amount of litterfall. Specifically, the total amount of litterfall for the <italic>Hevea</italic> monoculture system, <italic>Hevea</italic>&#x2013;<italic>Michelia</italic> intercropping system, and <italic>Hevea&#x2013;Mytilaria</italic> intercropping system was 22,364&#xa0;kg&#xa0;ha<sup>&#x2212;1</sup>, 27,309&#xa0;kg&#xa0;ha<sup>&#x2212;1</sup>, and 34,477&#xa0;kg&#xa0;ha<sup>&#x2212;1</sup>, respectively. A significant difference was observed in the total amount of litterfall among the three treatment types (<italic>F</italic> &#x3d; 0.082, <italic>p</italic> &#x3d; 0.921).</p>
</sec>
<sec id="s3-1-2">
<title>3.1.2 Monthly dynamics in litterfall</title>
<p>The monthly variation in litterfall in the <italic>Hevea</italic> monoculture system, <italic>Hevea</italic>&#x2013;<italic>Michelia</italic> intercropping system, and <italic>Hevea&#x2013;Mytilaria</italic> intercropping system exhibited a peak and sub-peak pattern, with the peak occurring in February to March, followed by June to July. Specifically, the peak and sub-peaks of the monthly change of litterfall in the <italic>Hevea</italic> monoculture system occurred in February&#x2013;March and June, respectively, while the peaks and sub-peaks of the monthly variation in litterfall in the <italic>Hevea</italic>&#x2013;<italic>Michelia</italic> intercropping system and <italic>Hevea&#x2013;Mytilaria</italic> intercropping system occurred in February&#x2013;March and July, respectively, and the above results indicate that intercropping delays the occurrence of the second largest peak of litterfall in the rubber intercropping system by 1&#xa0;month. The monthly variation curves for the three types of litter were consistent (<xref ref-type="fig" rid="F2">Figure 2</xref>). The maximum litterfall for the <italic>Hevea</italic> monoculture system, <italic>Hevea</italic>&#x2013;<italic>Michelia</italic> intercropping system, and <italic>Hevea&#x2013;Mytilaria</italic> intercropping system was observed in February and March, with minimum values occurring in different months: for the <italic>Hevea</italic> monoculture system and <italic>Hevea</italic>&#x2013;<italic>Michelia</italic> intercropping system in September and for the <italic>Hevea&#x2013;Mytilaria</italic> intercropping system in August. From May to November, the litterfall content decreased in the following order: <italic>Hevea&#x2013;Mytilaria</italic> intercropping system &#x3e; <italic>Hevea</italic>&#x2013;<italic>Michelia</italic> intercropping system &#x3e; and <italic>Hevea</italic> monoculture system. The litterfall in the <italic>Hevea&#x2013;Mytilaria</italic> intercropping system was significantly higher than that in the <italic>Hevea</italic>&#x2013;<italic>Michelia</italic> intercropping system and <italic>Hevea</italic> monoculture system, with litterfall in RAS1 being significantly higher than that in RM (<italic>p</italic> &#x3c; 0.05). Litterfall in both RAS2 and RAS1 was significantly higher than that in RM, occurring in May, June, July, October, and November (<italic>p</italic> &#x3c; 0.05). In December and January, there was no significant difference in litterfall between RAS1 and RM, while in February and March, RM litterfall was significantly higher than that of RAS1 and RAS2 (<xref ref-type="fig" rid="F2">Figure 2</xref>).</p>
<fig id="F2" position="float">
<label>FIGURE 2</label>
<caption>
<p>Monthly dynamics of total litterfall in the RM, RAS1, and RAS2. Note: RM, <italic>Hevea</italic> monoculture system; RAS1, <italic>Hevea</italic>&#x2013;<italic>Michelia</italic> intercropping system; RAS2, <italic>Hevea</italic>&#x2013;<italic>Mytilaria</italic> intercropping system. Note: significant difference at the level of <italic>p</italic> &#x3c; 0.05.</p>
</caption>
<graphic xlink:href="fenvs-12-1407821-g002.tif"/>
</fig>
</sec>
<sec id="s3-1-3">
<title>3.1.3 Monthly dynamics of litter composition</title>
<p>Intercropping changed the monthly dynamics of litter composition. The leaf litterfall in the <italic>Hevea</italic> monoculture system, <italic>Hevea</italic>&#x2013;<italic>Michelia</italic> intercropping system, and <italic>Hevea&#x2013;Mytilaria</italic> intercropping system exhibited a unimodal distribution, peaking from February to March (<xref ref-type="fig" rid="F3">Figure 3</xref>). From April to November, the leaf litter content in the <italic>Hevea&#x2013;Mytilaria</italic> intercropping system surpassed that of the <italic>Hevea</italic>&#x2013;<italic>Michelia</italic> intercropping system and <italic>Hevea</italic> monoculture system from December to January (<xref ref-type="fig" rid="F3">Figure 3</xref>). Apart from May and February&#x2013;March, the <italic>Hevea</italic>&#x2013;<italic>Michelia</italic> intercropping system generally exhibited higher leaf litter content than the <italic>Hevea</italic> monoculture system. The proportion of leaf litter in the <italic>Hevea&#x2013;Mytilaria</italic> intercropping system (88.25%) exceeded that of the <italic>Hevea</italic>&#x2013;<italic>Michelia</italic> intercropping system (79.8%) and <italic>Hevea</italic> monoculture system (77.6%).</p>
<fig id="F3" position="float">
<label>FIGURE 3</label>
<caption>
<p>Monthly dynamics of leaf, branch, flower, and fruit litterfall in RM, RAS1, and RAS2. Note: RM, <italic>Hevea</italic> monoculture system; RAS1, <italic>Hevea</italic>&#x2013;<italic>Michelia</italic> intercropping system; RAS2, <italic>Hevea</italic>&#x2013;<italic>Mytilaria</italic> intercropping system.</p>
</caption>
<graphic xlink:href="fenvs-12-1407821-g003.tif"/>
</fig>
<p>The branch components of litterfall in the <italic>Hevea</italic> monoculture system, <italic>Hevea</italic>&#x2013;<italic>Michelia</italic> intercropping system, and <italic>Hevea&#x2013;Mytilaria</italic> intercropping system also followed a unimodal pattern, with the highest peak in February&#x2013;March and the lowest in September (<xref ref-type="fig" rid="F3">Figure 3</xref>). During June, July, and October&#x2013;November, the branch litterfall in the <italic>Hevea</italic>&#x2013;<italic>Michelia</italic> intercropping system exceeded that of the <italic>Hevea</italic> monoculture system, while for the remaining months, it was lower. The branch litterfall in the <italic>Hevea&#x2013;Mytilaria</italic> intercropping system was higher than that in the <italic>Hevea</italic> monoculture system in May, July, and October&#x2013;November. The proportion of branch litterfall in the <italic>Hevea&#x2013;Mytilaria</italic> intercropping system (6.33%) was lower than that of the <italic>Hevea</italic>&#x2013;<italic>Michelia</italic> intercropping system (11.27%) and the <italic>Hevea</italic> monoculture system (13.72%).</p>
<p>The litter components of flower and fruits in the <italic>Hevea</italic> monoculture system, <italic>Hevea</italic>&#x2013;<italic>Michelia</italic> intercropping system, and <italic>Hevea&#x2013;Mytilaria</italic> intercropping system exhibited a bimodal distribution, with peaks in April and August for the <italic>Hevea</italic> monoculture system and <italic>Hevea</italic>&#x2013;<italic>Michelia</italic> intercropping system and in May and August for the <italic>Hevea&#x2013;Mytilaria</italic> intercropping system, with the lowest values in October&#x2013;November (<xref ref-type="fig" rid="F3">Figure 3</xref>). From April to January, the <italic>Hevea</italic>&#x2013;<italic>Michelia</italic> intercropping system generally had a higher amount of litterfall of flowers and fruits than the <italic>Hevea</italic> monoculture system. The litterfall of flowers and fruits in the <italic>Hevea&#x2013;Mytilaria</italic> intercropping system exceeded that of the <italic>Hevea</italic> monoculture system in September, October&#x2013;November, and December&#x2013;January. The ratio of litterfall from flowers and fruits in the <italic>Hevea</italic>&#x2013;<italic>Michelia</italic> intercropping system (8.94%) was higher than that in the <italic>Hevea</italic> monoculture system (8.68%) and <italic>Hevea&#x2013;Mytilaria</italic> intercropping system (5.42%).</p>
</sec>
</sec>
<sec id="s3-2">
<title>3.2 Litterfall nutrients</title>
<p>Intercropping changed the monthly dynamics and distribution patterns of litterfall nutrients. The monthly dynamics of litterfall nutrients in the <italic>Hevea</italic> monoculture system, <italic>Hevea</italic>&#x2013;<italic>Michelia</italic> intercropping system, and <italic>Hevea</italic>&#x2013;<italic>Mytilaria</italic> intercropping system followed a unimodal pattern, with a peak from February to March. However, there were differences in the timing of the lowest trough of litterfall nutrient content.</p>
<sec id="s3-2-1">
<title>3.2.1 Total nitrogen</title>
<p>Intercropping influenced the TN content of litterfall (<xref ref-type="fig" rid="F4">Figure 4</xref>). Compared with the <italic>Hevea</italic> monoculture system, the TN content in litterfall of the <italic>Hevea</italic>&#x2013;<italic>Mytilaria</italic> intercropping system and <italic>Hevea</italic>&#x2013;<italic>Michelia</italic> intercropping system increased by 185&#xa0;kg&#xa0;ha<sup>&#x2212;1</sup> and 120&#xa0;kg&#xa0;ha<sup>&#x2212;1</sup>, respectively, representing a 103.70% and 67.88% increase for the whole year. The differences in TN between the <italic>Hevea</italic>&#x2013;<italic>Mytilaria</italic> intercropping system and <italic>Hevea</italic> monoculture system, as well as the <italic>Hevea</italic>&#x2013;<italic>Michelia</italic> intercropping system and <italic>Hevea</italic> monoculture system, reached a significant level from February to March, April, May, June, July, August, September, and October&#x2013;November.</p>
<fig id="F4" position="float">
<label>FIGURE 4</label>
<caption>
<p>Litterfall nutrient content in RM, RAS1, and RAS2. Note: RM&#x2010;Hevea monoculture system, RAS1&#x2010;Hevea&#x2010;Michelia intercropping system, RAS2&#x2010;Hevea&#x2010;Mytilaria intercropping system; Noted: Significant difference at the level of P&#x003c;0.05.</p>
</caption>
<graphic xlink:href="fenvs-12-1407821-g004.tif"/>
</fig>
</sec>
<sec id="s3-2-2">
<title>3.2.2 Total phosphorus</title>
<p>Intercropping significantly altered the TP content of litterfall (<xref ref-type="fig" rid="F4">Figure 4</xref>). The TP contents of the <italic>Hevea</italic>&#x2013;<italic>Mytilaria</italic> intercropping system and <italic>Hevea</italic>&#x2013;<italic>Michelia</italic> intercropping system litterfall were significantly higher than that of the <italic>Hevea</italic> monoculture system throughout the year. The TP content in litterfall of <italic>Hevea</italic>&#x2013;<italic>Mytilaria</italic> intercropping systems increased by 35&#xa0;kg&#xa0;ha<sup>&#x2212;1</sup>, representing a 159.15% increase compared to the <italic>Hevea</italic> monoculture system for the whole year. The TP content in <italic>Hevea</italic>&#x2013;<italic>Michelia</italic> intercropping system&#x2019;s litterfall was significantly higher than that of the <italic>Hevea</italic> monoculture system, with an annual increase of 30&#xa0;kg&#xa0;ha<sup>&#x2212;1</sup>, representing a 122.79% increase compared to the <italic>Hevea</italic> monoculture system.</p>
</sec>
<sec id="s3-2-3">
<title>3.2.3 Total potassium</title>
<p>Intercropping impacted the TK content of litterfall (<xref ref-type="fig" rid="F4">Figure 4</xref>). Compared with the <italic>Hevea</italic> monoculture system, the TK content of the <italic>Hevea</italic>&#x2013;<italic>Mytilaria</italic> intercropping system and <italic>Hevea</italic>&#x2013;<italic>Michelia</italic> intercropping system litterfall increased by 170&#xa0;kg&#xa0;ha<sup>&#x2212;1</sup> and 139&#xa0;kg&#xa0;ha<sup>&#x2212;1</sup>, respectively, representing a 139.46% and 96.27% increase for the whole year. The differences between the <italic>Hevea</italic>&#x2013;<italic>Mytilaria</italic> intercropping system and <italic>Hevea</italic> monoculture system, as well as the <italic>Hevea</italic>&#x2013;<italic>Michelia</italic> intercropping system and <italic>Hevea</italic> monoculture system, reached a significant level in all months of the year. Additionally, the TN content of the <italic>Hevea</italic>&#x2013;<italic>Mytilaria</italic> intercropping system litterfall was significantly higher than that of the <italic>Hevea</italic>&#x2013;<italic>Michelia</italic> intercropping system in February&#x2013;March, July, August, September, and October&#x2013;November.</p>
</sec>
</sec>
<sec id="s3-3">
<title>3.3 Association between litter components and nutrient content with meteorological factors</title>
<p>The association between monthly litter amount, leaf litter, branch litter, flower and fruit litter, as well as the TN, TP, and TK content of litter, with meteorological factors including monthly mean temperature, monthly maximum temperature, monthly minimum temperature, monthly mean wind speed, and monthly precipitation was analyzed by using linear regression model equations. The results of the analysis are presented in <xref ref-type="table" rid="T1">Table 1</xref>. Monthly litterfall was significantly affected by monthly average temperature, minimum temperature, and monthly average wind speed. It showed a negative correlation with monthly average temperature and a positive correlation with the minimum temperature and monthly average wind speed, explaining 80.5% of the variation in monthly litterfall (<italic>F</italic> &#x3d; 22.5, <italic>p</italic> &#x3d; 0.00, <xref ref-type="table" rid="T1">Table 1</xref>). Leaf litterfall was also significantly affected by these meteorological factors, accounting for 75.5% of the variation (<italic>F</italic> &#x3d; 17.067, <italic>p</italic> &#x3d; 0.00). Similarly, branch litterfall and flower and fruit litterfall were significantly influenced by these factors, explaining 69.8% and 69.6% of the variation (<italic>F</italic> &#x3d; 13.045, <italic>p</italic> &#x3d; 0.00; <italic>F</italic> &#x3d; 12.906, <italic>p</italic> &#x3d; 0.00), respectively. Furthermore, the TN, TP, and TK contents of litterfall were significantly impacted by monthly average temperature, minimum temperature, and monthly average wind speed. They exhibited a negative correlation with monthly average temperature and a positive correlation with the minimum temperature and monthly average wind speed. These variables explained 73.9%, 43%, and 66.66% of the variation in the nutrient content of litterfall, respectively (<xref ref-type="table" rid="T1">Table 1</xref>).</p>
<table-wrap id="T1" position="float">
<label>TABLE 1</label>
<caption>
<p>Regression analysis between monthly litterfall and its main nutrient and meteorological factors by linear regression model equations.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="left">Dependent</th>
<th align="left">Regression equation</th>
<th align="left">
<italic>R</italic>
<sup>
<italic>2</italic>
</sup>
</th>
<th align="left">
<italic>F</italic>
</th>
<th align="left">
<italic>P</italic>
</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="left">Total litterfall</td>
<td align="left">Total litterfall &#x3d; 64,735.751&#x2212;3580.522T<sub>avg</sub>&#x2b;2041.537T<sub>min</sub>&#x2b;5601.31W<sub>s</sub>
</td>
<td align="left">0.805</td>
<td align="left">22.5</td>
<td align="left">0.00</td>
</tr>
<tr>
<td align="left">Leaf litterfall</td>
<td align="left">Leaf litterfall &#x3d; 57,142.423&#x2212;2964.738T<sub>avg</sub>&#x2b;1755.259T<sub>min</sub>&#x2b;4120.81W<sub>s</sub>
</td>
<td align="left">0.755</td>
<td align="left">17.067</td>
<td align="left">0.00</td>
</tr>
<tr>
<td align="left">Branch litterfall</td>
<td align="left">Branch litterfall &#x3d; 6663.75&#x2212;497.522T<sub>avg</sub>&#x2b;259.136T<sub>min</sub>&#x2b;789.442W<sub>s</sub>
</td>
<td align="left">0.698</td>
<td align="left">13.045</td>
<td align="left">0.00</td>
</tr>
<tr>
<td align="left">Flower and fruit litterfall</td>
<td align="left">Flower fruit litterfall &#x3d; &#x2212;118.262T<sub>avg</sub>&#x2b;691.058W<sub>s</sub> &#x2b; 1.251P<sub>re</sub>
</td>
<td align="left">0.696</td>
<td align="left">12.906</td>
<td align="left">0.00</td>
</tr>
<tr>
<td align="left">TN of litterfall</td>
<td align="left">TN of litterfall &#x3d; 609.006&#x2212;35.37T<sub>avg</sub>&#x2b;19.440T<sub>min</sub>&#x2b;65.123W<sub>s</sub>
</td>
<td align="left">0.739</td>
<td align="left">15.746</td>
<td align="left">0.00</td>
</tr>
<tr>
<td align="left">TP of litterfall</td>
<td align="left">TP of litterfall &#x3d; 31.772&#x2212;1.953T<sub>avg</sub>&#x2b;1.036T<sub>min</sub>&#x2b;3.208W<sub>s</sub>
</td>
<td align="left">0.43</td>
<td align="left">49.19</td>
<td align="left">0.004</td>
</tr>
<tr>
<td align="left">TK of litterfall</td>
<td align="left">TK of litterfall &#x3d; 295.789&#x2212;16.967T<sub>avg</sub>&#x2b;9.819T<sub>min</sub>&#x2b;22.545W<sub>s</sub>
</td>
<td align="left">0.666</td>
<td align="left">11.389</td>
<td align="left">0.00</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>Note: Tavg, monthly average temperature; Tmin, minimum temperature; Ws, monthly average wind speed; TN, total nitrogen; TP, total phosphorus; TK, total potassium.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
</sec>
<sec sec-type="discussion" id="s4">
<title>4 Discussion</title>
<p>The litterfall of rubber plantations has been a topic concern and study since the 1990s (<xref ref-type="bibr" rid="B35">Yang ZX et al., 1997</xref>; <xref ref-type="bibr" rid="B3">Chaudhuri et al., 2003</xref>). However, few studies have examined litterfall and its main nutrient return dynamics in rubber plantations from the perspective of the rubber-based agroforestry system. In this study, we observed that the litterfall dynamics of the <italic>Hevea</italic> monoculture system, <italic>Hevea</italic>&#x2013;<italic>Michelia</italic> intercropping system, and <italic>Hevea&#x2013;Mytilaria</italic> intercropping system showed seasonal fluctuations, with a peak period of concentrated litterfall occurring from February to March. In the rubber planting areas of Yunnan Province, China, the annual variation in litterfall from rubber trees in the high-altitude terrain areas displayed a unimodal characteristic, peaking around January. Conversely, in middle- and low-altitude terrain areas, the annual volume of litterfall in rubber trees showed a bimodal characteristic, with litter concentrated from January to early February and again in September during the period of concentrated rubber seed production (<xref ref-type="bibr" rid="B22">Ren et al., 1999</xref>; <xref ref-type="bibr" rid="B5">Jia, 2006</xref>; <xref ref-type="bibr" rid="B36">Zhou et al., 2017</xref>). Additionally, in middle-aged and old rubber plantations in the Xishuangbanna area of Yunnan Province, the annual variation in the litterfall volume exhibited bimodal characteristics (<xref ref-type="bibr" rid="B36">Zhou et al., 2017</xref>). The presence of two peaks in the annual variation in the litter volume in the middle- and low-altitude areas of Yunnan Province may be attributed to the abundant and efficient light and heat resources in the unique elevation and terrain, the prolific flowering and fruiting of rubber trees, and the abundance of withered fruits during ripening of rubber fruits.</p>
<p>In this study, leaf litter comprised the largest proportion of litterfall, with leaf litter and litter branches primarily determining the overall litterfall pattern across the three systems. Specifically, the litterfall in the <italic>Hevea</italic> monoculture system, <italic>Hevea</italic>&#x2013;<italic>Michelia</italic> intercropping system, and <italic>Hevea</italic>&#x2013;<italic>Mytilaria</italic> intercropping system accounted for 77.6%, 79.80%, and 88.25% of the total litterfall, respectively. Furthermore, the branch litterfall in these systems represented 13.72%, 11.27%, and 6.33% of the total litterfall, respectively. Some studies conducted in rubber plantations in Guangdong Province, China, also reported the litter composition. These studies revealed that rubber leaves, branches, and flowers and fruits constituted 91.2%, 7.3%, and 1.5% of the litter, respectively, with the total litter pattern being predominantly characterized by leaf and branch litterfall (<xref ref-type="bibr" rid="B34">Yang ZJ et al., 1997</xref>). Similarly, research on middle-aged rubber plantations in the Xishuangbanna area of Yunnan Province in China indicated that the proportion of leaves, branches, and flowers and fruits in the litter was 73.8%, 22.06%, and 5.5% of the total litter, respectively, with litter leaves and branches also dominating the total litterfall pattern (<xref ref-type="bibr" rid="B36">Zhou et al., 2017</xref>). These findings align with conclusions drawn from other studies on litterfall in tropical forests (<xref ref-type="bibr" rid="B28">Wan et al., 2015</xref>). <xref ref-type="bibr" rid="B22">Ren et al. (1999)</xref> conducted a study on the litter composition of rubber multilayer plantations comprising old rubber trees, <italic>Baccaurea ramiflora</italic> and <italic>Rauvolfia vomitoria</italic>, which had been growing for over 30 years. The total litterfall pattern in this context was dominated by litter leaves and littered flowers and fruits, which accounted for 52.48% and 33.09%, respectively. This outcome may be attributed to the actual plant composition and the age of tree multilayer plantations.</p>
<p>In this study, the total annual litterfall of the <italic>Hevea</italic>&#x2013;<italic>Michelia</italic> intercropping system (27,309&#xa0;kg&#xa0;ha<sup>&#x2212;1</sup>) and <italic>Hevea</italic>&#x2013;<italic>Mytilaria</italic> intercropping system (34,477&#xa0;kg&#xa0;ha<sup>&#x2212;1</sup>) was significantly higher than that of the <italic>Hevea</italic> monoculture system (22,364&#xa0;kg&#xa0;ha<sup>&#x2212;1</sup>). Specifically, the annual litter content of the <italic>Hevea</italic>&#x2013;<italic>Michelia</italic> intercropping system and <italic>Hevea</italic>&#x2013;<italic>Mytilaria</italic> intercropping system was 1.22 times and 1.54 times that of the <italic>Hevea</italic> monoculture system, respectively. Furthermore, the annual litter content of the rubber mixed cropping model exceeded that of the southern subtropical broad-leaved forest in China (ranging from 7,000&#xa0;kg&#xa0;ha<sup>-1</sup> to 11000&#xa0;kg&#xa0;ha<sup>&#x2212;1</sup>) and the mountainous tropical rainforest of Hainan (ranging from 7,700&#xa0;kg&#xa0;ha<sup>-1</sup> to 9,700&#xa0;kg&#xa0;ha<sup>&#x2212;1</sup>), as well as that of the tropical rainforest in Malaysia in Southeast Asia (ranging from 7,500&#xa0;kg&#xa0;ha<sup>&#x2212;1</sup> to 10,200&#xa0;kg&#xa0;ha<sup>&#x2212;1</sup>) (<xref ref-type="bibr" rid="B8">Lim, 1978</xref>; <xref ref-type="bibr" rid="B17">Lu and Liu, 1988</xref>; <xref ref-type="bibr" rid="B27">Tu et al., 1993</xref>; <xref ref-type="bibr" rid="B35">Yang ZX et al., 1997</xref>). Comparatively, the annual litter content of rubber monocropping (7,510&#xa0;kg&#xa0;ha<sup>&#x2212;1</sup>) was higher than that of rubber cocoa hybrid (6,810&#xa0;kg&#xa0;ha<sup>&#x2212;1</sup>) and rubber large-leaf jack pulling, although no significant difference was observed between the above monocropping and mixed species (<xref ref-type="bibr" rid="B16">Lu et al., 2021</xref>). This comparative analysis of annual litterfall highlights that the annual litterfall volume in the rubber <italic>Michelia</italic>/<italic>Mytilaria</italic> intercropping system not only surpasses that of the rubber <italic>Amomum villosum</italic> intercropping pattern but also exceeds the annual litterfall volume of the southern subtropical broad-leaved forest in China, the mountainous tropical rainforest in Hainan, and the tropical rainforest of Malaysia in Southeast Asia (<xref ref-type="bibr" rid="B8">Lim, 1978</xref>; <xref ref-type="bibr" rid="B17">Lu and Liu, 1988</xref>; <xref ref-type="bibr" rid="B27">Tu et al., 1993</xref>; <xref ref-type="bibr" rid="B34">Yang ZJ et al., 1997</xref>).</p>
<p>Rubber intercropping with native trees significantly changed the return of main litter nutrients. Specifically, compared to the <italic>Hevea</italic> monoculture system, the TN content of litterfall increased by 185&#xa0;kg&#xa0;ha<sup>&#x2212;1</sup> and 120&#xa0;kg&#xa0;ha<sup>&#x2212;1</sup> in the <italic>Hevea</italic>&#x2013;<italic>Mytilaria</italic> and <italic>Hevea</italic>&#x2013;<italic>Michelia</italic> intercropping systems, respectively, representing a 103.70% and 67.88% increase for the whole year. Similarly, the TP content in litterfall in the <italic>Hevea</italic>&#x2013;<italic>Mytilaria</italic> intercropping systems and <italic>Hevea</italic>&#x2013;<italic>Michelia</italic> intercropping system increased by 35&#xa0;kg&#xa0;ha<sup>&#x2212;1</sup> and 30&#xa0;kg&#xa0;ha<sup>&#x2212;1</sup>, respectively, indicating a 159.15% and 122.79% increase for the whole year. Additionally, the TK content litterfall in the <italic>Hevea</italic>&#x2013;<italic>Mytilaria</italic> intercropping system and <italic>Hevea</italic>&#x2013;<italic>Michelia</italic> intercropping system litterfall increased by 170&#xa0;kg&#xa0;ha<sup>&#x2212;1</sup> and 139&#xa0;kg&#xa0;ha<sup>&#x2212;1</sup>, respectively, representing a 139.46% and 96.27% increase for the whole year. In terms of the nutrient content of litter, TN was the highest, followed by TK, and the lowest was TP. Regarding the nutrient content of litter, TN exhibited the highest levels, followed by TK, with TP being the lowest. Concerning the annual growth rate of main litter nutrient return, the TP content of litter showed the most significant increase in the intercropping system, followed by TK and TN, respectively. Additionally, the nutrient content of litter in the three systems displayed a seasonal trend, particularly in February and March during spring. Some scholars have also observed dynamic monthly trends in the N, P, and K contents of leaf litter in young and old rubber plantations in Hainan, noting a decrease in these elements during autumn and winter, with enrichment occurring in winter and spring (<xref ref-type="bibr" rid="B19">Miao et al., 2012</xref>; <xref ref-type="bibr" rid="B33">Xue et al., 2022</xref>). The above-mentioned research shows that the intercropping production practice of rubber plantations has significantly increased the amount of litter on the rubber plantation surface. We believe that these abundant litters are expected to significantly improve the soil and water conservation capacity of the surface soil, thereby optimizing the surface ecological environment. More importantly, these returned rubber plantations have enriched litter nutrients, which can offset the input of artificial fertilizer to the rubber plantation to a certain extent, which is equivalent to reducing labor input and fertilizer input.</p>
<p>Some scholars tend to focus on the effects of rubber tree age on litter and nutrient return, while paying little attention to the influence of meteorological factors on litter and nutrient return in rubber plantations. The litterfall yield in rubber plantations in Hainan showed a &#x201c;double-peak&#x201d; dynamic change (<xref ref-type="bibr" rid="B19">Miao et al., 2012</xref>; <xref ref-type="bibr" rid="B33">Xue et al., 2022</xref>). In this study, we selected the monthly mean temperature, monthly maximum temperature, monthly minimum temperature, monthly average wind speed, monthly rainfall, and other meteorological and environmental factors to analyze their association with the litter and nutrient content of rubber plantations. We found that litterfall was significantly correlated with monthly average temperature, monthly minimum temperature, and monthly average wind speed, contributing 80.5%, 75.5%, 69.8%, and 69.6% to the total litterfall and its leaf, branch, and flower and fruit components, respectively. Moreover, the contribution rates of monthly average temperature, monthly minimum temperature, and monthly average wind speed factors to TN and TK content of the annual litterfall were 73.9% and 66.6%, respectively, indicating the predominant role of temperature and wind speed. Interestingly, the changes in litter composition and nutrient content in the three patterns, including the <italic>Hevea</italic> monoculture system, <italic>Hevea</italic>&#x2013;<italic>Michelia</italic> intercropping system, and <italic>Hevea</italic>&#x2013;<italic>Mytilaria</italic> intercropping system, were not significantly affected by monthly maximum temperature and precipitation. Previous studies have also indicated that average monthly temperature is the primary climatic factor influencing the leaf litter pattern in rubber plantations (<xref ref-type="bibr" rid="B2">Cao et al., 2011</xref>). Similar conclusions have been drawn in other forest types, where temperature and extreme wind speed profoundly affected litter yield and different components in monsoon evergreen broad-leaved forests and mixed coniferous and broad-leaved forests (<xref ref-type="bibr" rid="B14">Liu et al., 2024</xref>).</p>
</sec>
<sec sec-type="conclusion" id="s5">
<title>5 Conclusion</title>
<p>Based on the findings regarding the effect of intercropping rubber with native tree species on litterfall, our conclusions are summarized as follows:<list list-type="simple">
<list-item>
<p>(1) Rubber intercropping with native tree species significantly enhances litter production in rubber plantations. The increase is expected to effectively cover the rubber plantation surface, supplement the deficit in soil organic matter, and mitigate or reverse the soil degradation trend resulting from long-term rubber plantation operations.</p>
</list-item>
<list-item>
<p>(2) Litterfall, peaking from February to March during the dry season, is predominantly composed of leaf litter in the three intercropping systems: the <italic>Hevea</italic> monoculture system, <italic>Hevea</italic>&#x2013;<italic>Michelia</italic> intercropping system, and <italic>Hevea</italic>&#x2013;<italic>Mytilaria</italic> intercropping system. Strengthening the management and utilization of leaf litterfall in intercropping systems, particularly during the dry season, is crucial for maximizing the role of litterfall.</p>
</list-item>
<list-item>
<p>(3) Rubber intercropping with native tree species leads to a significant increase in the TN, TP, and TK contents of annual litterfall. This suggests that the intercropping pattern effectively enhances the nutrient content of rubber plantation litter in the field.</p>
</list-item>
<list-item>
<p>(4) Meteorological factors, including temperature and wind speed, exhibit strong correlations with total litterfall, its components, and the main nutrients of litter. This highlights the importance of considering these meteorological factors in the utilization and management of litter in rubber intercropping patterns. Managing these factors accordingly is essential for optimizing litter utilization and management in rubber intercropping systems.</p>
</list-item>
</list>
</p>
</sec>
</body>
<back>
<sec sec-type="data-availability" id="s6">
<title>Data availability statement</title>
<p>The original contributions presented in the study are included in the article/Supplementary Material; further inquiries can be directed to the corresponding authors.</p>
</sec>
<sec id="s7">
<title>Author contributions</title>
<p>DQ: funding acquisition, investigation, writing&#x2013;original draft, and writing&#x2013;review and editing. ZW: conceptualization, funding acquisition, resources, and writing&#x2013;review and editing. RS: resources and writing&#x2013;review and editing. CY: investigation and writing&#x2013;review and editing. XZ: investigation and writing&#x2013;review and editing. SL: resources and writing&#x2013;review and editing. XC: resources and writing&#x2013;review and editing.</p>
</sec>
<sec sec-type="funding-information" id="s8">
<title>Funding</title>
<p>The author(s) declare that financial support was received for the research, authorship, and/or publication of this article. The authors gratefully acknowledge financial support from Hainan Province Key R and D Program of China (ZDYF2024XDNY173), Hainan Provincial Natural Science Foundation of China (319MS090), China Agriculture Research System (CARS-33-ZP3).</p>
</sec>
<ack>
<p>We thank the reviewers and editors for their work in analyzing our study.</p>
</ack>
<sec sec-type="COI-statement" id="s9">
<title>Conflict of interest</title>
<p>The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec sec-type="disclaimer" id="s10">
<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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