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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">1196803</article-id>
<article-id pub-id-type="doi">10.3389/fenvs.2023.1196803</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Environmental Science</subject>
<subj-group>
<subject>Review</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Progress of carbon sequestration in urban green space based on bibliometric analysis</article-title>
<alt-title alt-title-type="left-running-head">Wang 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.2023.1196803">10.3389/fenvs.2023.1196803</ext-link>
</alt-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Wang</surname>
<given-names>Huan</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<xref ref-type="corresp" rid="c001">&#x2a;</xref>
<uri xlink:href="https://loop.frontiersin.org/people/2264344/overview"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Feng</surname>
<given-names>Yilong</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Ai</surname>
<given-names>Lijiao</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<xref ref-type="corresp" rid="c001">&#x2a;</xref>
</contrib>
</contrib-group>
<aff id="aff1">
<sup>1</sup>
<institution>Chongqing Landscape and Gardening Research Institute</institution>, <addr-line>Chongqing</addr-line>, <country>China</country>
</aff>
<aff id="aff2">
<sup>2</sup>
<institution>College of Horticulture and Landscape Architecture</institution>, <institution>Southwest University</institution>, <addr-line>Chongqing</addr-line>, <country>China</country>
</aff>
<aff id="aff3">
<sup>3</sup>
<institution>Chongqing Key Laboratory of Germplasm Innovation and Utilization of Native Plants</institution>, <addr-line>Chongqing</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/1888420/overview">Hameed Sulaiman</ext-link>, Sultan Qaboos University, Oman</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/459445/overview">Muhammad Shafiq Shahid</ext-link>, Sultan Qaboos University, Oman</p>
<p>
<ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/2217448/overview">Amir Raza</ext-link>, University of Arizona, United States</p>
</fn>
<corresp id="c001">&#x2a;Correspondence: Huan Wang, <email>wanghuan14@mails.ucas.ac.cn</email>; Lijiao Ai, <email>529800633@qq.com</email>
</corresp>
</author-notes>
<pub-date pub-type="epub">
<day>27</day>
<month>06</month>
<year>2023</year>
</pub-date>
<pub-date pub-type="collection">
<year>2023</year>
</pub-date>
<volume>11</volume>
<elocation-id>1196803</elocation-id>
<history>
<date date-type="received">
<day>31</day>
<month>03</month>
<year>2023</year>
</date>
<date date-type="accepted">
<day>06</day>
<month>06</month>
<year>2023</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2023 Wang, Feng and Ai.</copyright-statement>
<copyright-year>2023</copyright-year>
<copyright-holder>Wang, Feng and Ai</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>To understand the development progress and relevant Frontier research of urban green space carbon sequestration, based on the core databases such as Web of Science, CiteSpace software, and bibliometric analysis methods were used to analyze the research status. The results showed that the number of papers on urban green space carbon sequestration research was on the rise. China and the United States had closer cooperation from the perspective of international cooperation institutions. Peking University, the Chinese Academy of Sciences, and the US Forest Service made the greatest contributions to this research field. Analyzing the keywords and the literature co-citation map, it was inferred that the hot keywords of future urban green space carbon sequestration research include carbon sequestration, ecosystem services, and climate change. It was found that carbon sequestration of urban green space ecosystems research primarily focuses on the correlation between urban green space and ecosystem services, and UGS carbon sequestration accounting and urban green space management. Finally, two perspectives were proposed: 1) Urban green spaces diversified ecological benefits are achieved through the function of carbon sequestration, and 2) Urban green space carbon sequestration accounting and urban green space management promote the development of urban green space. An overview of the international progress and basic state of urban green spaces and carbon sequestration theme research is presented in this paper, Additionally, it provides valuable references for future research and helps gain a comprehensive understanding of this field of research.</p>
</abstract>
<kwd-group>
<kwd>urban green space</kwd>
<kwd>Citespace</kwd>
<kwd>carbon sequestration</kwd>
<kwd>bibliometrics</kwd>
<kwd>research progress</kwd>
</kwd-group>
<custom-meta-wrap>
<custom-meta>
<meta-name>section-at-acceptance</meta-name>
<meta-value>Social-Ecological Urban Systems</meta-value>
</custom-meta>
</custom-meta-wrap>
</article-meta>
</front>
<body>
<sec id="s1">
<title>1 Introduction</title>
<p>Urbanization was a necessary process of societal civilization and development. It was estimated that the global urbanization level will exceed 60% by 2030 (<xref ref-type="bibr" rid="B49">United Nations, 2018</xref>). With the continuous progress of urbanization worldwide, how to effectively reduce urban carbon emissions and increase carbon sequestration has become a key issue related to the effectiveness of the Carbon Peak and Carbon Neutrality strategy. The carbon storage and sequestration of urban vegetation (including urban forests and green space) has received significant attention in recent years (<xref ref-type="bibr" rid="B1">Adetoye et al., 2018</xref>; <xref ref-type="bibr" rid="B59">Yao et al., 2018</xref>). Photosynthesis fixes carbon dioxide (CO<sub>2</sub>) and stores it in biomass, making vegetation (trees, shrubs, and grasses) a carbon dioxide sink (CO<sub>2</sub>). A large amount of carbon has been sequestered and stored by vegetation in urban areas (<xref ref-type="bibr" rid="B23">Hutyra et al., 2011</xref>; <xref ref-type="bibr" rid="B28">Lal and Augustine, 2012</xref>). The urban green space ecosystem plays an important role in carbon sequestration and carbon sinks. In terms of carbon sequestration, although the urban green space area only accounts for a part of the urban ecosystem, it plays a positive role in the carbon balance of urban and global ecosystems (<xref ref-type="bibr" rid="B67">Zhu et al., 2019</xref>). Currently, the research on carbon sequestration was mainly concentrated in the fields of forests, grasslands, and wetlands within large regions (<xref ref-type="bibr" rid="B34">Miyauchi et al., 2019</xref>); however, the research on carbon sequestration of urban green spaces has also made great progress in recent years (<xref ref-type="bibr" rid="B68">Zhu et al., 2018</xref>; <xref ref-type="bibr" rid="B12">Delgado-Baquerizo et al., 2021</xref>). The macro and micro scale changes of urban green spaces are complex due to the increasing importance of the carbon sequestration function of urban green spaces and the increasing breadth and depth of research. Currently, there are few reports on the development, transformation, evolution, and other comprehensive analysis of urban green space ecosystem research hotspots in the world.</p>
<p>The bibliometric method was used to analyze the development process of the discipline, the evolution of research hotspots, the distribution of research forces, and the proposed direction of the discipline&#x2019;s development (<xref ref-type="bibr" rid="B18">Guo et al., 2019</xref>). With the explosion of several of documents in various disciplines, bibliometrics has become an important method for studying the development of various disciplines (<xref ref-type="bibr" rid="B41">Rodrigues Sousa et al., 2020</xref>; <xref ref-type="bibr" rid="B57">Yang et al., 2020</xref>). CiteSpace software, developed by Dr. Chen Chaomei, can be used for analysis, mining, and visual analysis of scientific and technological papers (<xref ref-type="bibr" rid="B8">Chen, 2004</xref>; <xref ref-type="bibr" rid="B9">Chen and Song, 2019</xref>). It has a strong function in document metrology statistics as well as knowledge map visualization and has become the most popular document metrology tool. The research on carbon sequestration of urban green space ecosystems has developed into a multi-disciplinary and multi-directional background. Using this software to carry out international (based on Web of Science) literature metrology and visual analysis of the research direction of the carbon sequestration function of urban green spaces researchers can better explore the hot spots of the research on carbon sequestration function ecology of urban green space ecosystems.</p>
</sec>
<sec sec-type="materials|methods" id="s2">
<title>2 Materials and methods</title>
<sec id="s2-1">
<title>2.1 Collection data</title>
<p>To comprehensively and chronologically reflect the research progress of the carbon sequestration function of urban green space ecosystems in the world, the internationally recognized authoritative database was used as the data source, namely, SCI-E (science citation index expanded) of the core collection TM of Web of Science. The retrieval method is as follows: TS&#x3d;(&#x201c;urban green space &#x2a;&#x201d; or &#x201c;urban green land &#x2a;&#x201d; or &#x201c;urban green infrastructure &#x2a;&#x201d; or &#x201c;urban park &#x2a;&#x201d;) and &#x201c;carbon sequestration&#x201d; or &#x201c;carbon dioxide sequestration &#x2a;&#x201d;); Document type: &#x201c;article&#x201d; or &#x201c;review&#x201d;; Period: 1900-2022 (retrieval time: 10 May 2023). Finally, after screening and analyzing the articles according to the title, abstract, and keywords, 723 valid papers were obtained.</p>
</sec>
<sec id="s2-2">
<title>2.2 Analysis methods</title>
<p>This paper analyzed and visualized the number of papers published, keywords, author groups, publishing institutions, publishing journals, highly cited authors, and papers on the carbon sequestration research of urban green space ecosystems, and analyzed them with the help of CiteSpace 6.1 R6.</p>
</sec>
</sec>
<sec sec-type="results" id="s3">
<title>3 Results</title>
<sec id="s3-1">
<title>3.1 Number of published papers</title>
<p>Compared with the carbon sequestration of forest ecosystems, the international research on carbon sequestration of urban green space ecosystems started late. In 2001 this field of research began to have relevant literature reports, while the study of forest carbon reserves appeared in the 1990s. The first international published literature was a research paper entitled &#x201c;Carbon sinks and human freshwater dependence in Stockholm County&#x201d; published in the Ecological Economics journal. Jansson et al. estimated the ecosystem areas required for accumulating the total emissions of CO<sub>2</sub> by the Stockholmer population. The paper accumulated the CO<sub>2</sub> emissions of the population in the County. The authors discussed the usefulness and limitations of their approach in relation to focusing on people&#x2019;s dependence on functioning ecosystems for ecosystem service generation and in structuring guidelines for the management of these ecosystems (<xref ref-type="bibr" rid="B25">Jansson and Nohrstedt, 2001</xref>). From the time change in the number of papers issued, the international research on the carbon sequestration of urban green space ecosystems can be roughly divided into three stages: 1) Stage I the initial stage (2001-2010) where the research on the carbon sequestration of urban green space ecosystems was scarce. This was the result of the human understanding of carbon sequestration function of urban green space ecosystems being in its infancy. The research on carbon sequestration was mainly focused on forest, grassland, and wetlands within large regions. 2) Stage II (2011-2020). The research showed a slow upward trend. After the 20th century, the ecological function of the urban green space ecosystem had been recognized, and the research on the carbon sequestration function of the urban green space ecosystems was rapidly developed. 3) Stage III (2021-2022) was a period of rapid growth, where the growth rate of the literature was more than three times higher than the previous stage. After 20&#xa0;years of development, the research on the carbon sequestration function of international urban green space ecosystems was still in the developmental stage. The total number of research papers published on urban green space carbon sequestration in various countries from high to low are as follows: China (226), United States (196), United Kingdom (55), Germany (41), Australia (41), Italy (39), Canada (38), South Korea (33), Finland (27) and France (26) (<xref ref-type="fig" rid="F1">Figure 1</xref>). China and the United States accounted for 31.25% and 27.11% of the global total of publications, respectively, with both countries having significantly more publication than other countries. China&#x2019;s first SCI paper on urban green space carbon sink research was a publication titled &#x201c;Using a set of strategic indicator systems as a decision-making support implementation for establishing a recycling-oriented society&#x2014;a Taiwan case study&#x201d; published by Chang I C in the journal of Environmental Science and Pollution Research in 2005 (<xref ref-type="bibr" rid="B7">Chang et al., 2005</xref>). Since 2011, the number of published papers in China has fluctuated; however, is on the rise. In 2022, the maximum number of annual papers in the SCI database reached 44. A comprehensive understanding of the relationship between urbanization and induced carbon emissions is essential (<xref ref-type="bibr" rid="B45">Shi et al., 2019</xref>). Over the past few decades, China&#x2019;s rapid economic development has led to soaring energy consumption and intensive CO<sub>2</sub> (<xref ref-type="bibr" rid="B52">Wang et al., 2014</xref>). As a result, studies related to carbon sequestration in urban green spaces are rapidly and continuously increasing in China.</p>
<fig id="F1" position="float">
<label>FIGURE 1</label>
<caption>
<p>Dynamics in the number of publications of the top 10 countries.</p>
</caption>
<graphic xlink:href="fenvs-11-1196803-g001.tif"/>
</fig>
</sec>
<sec id="s3-2">
<title>3.2 Country collaboration network</title>
<p>The number of international papers on cooperation reflects the status and effectiveness of scientific and technological cooperation between different countries/regions (<xref ref-type="bibr" rid="B13">Edwards-Schachter et al., 2011</xref>). In this paper, the data files retrieved from the core collection database of Web of Science are imported into the bibliometric analysis platform (<ext-link ext-link-type="uri" xlink:href="https://bibliometric.com/results.html">https://bibliometric.com/results.html</ext-link>, accessed time: 10 May 2023) to generate the scientific and technological cooperation between countries network map (<xref ref-type="fig" rid="F2">Figure 2</xref>). A total of 73 countries in the world have participated in research surrounding the carbon sequestration of urban green space ecosystems. In terms of international cooperation, the cooperation between the United States and China was closer than that between other countries, followed by the United Kingdom and China. The data demonstrates that China and the United States attach great importance and heavily invest in carbon sequestration of urban green space research. From the number of SCI papers and the cooperation between countries, we can see that China, the United States, and the developed countries in Europe occupy important positions, thus, having a significant influence on urban green space carbon sequestration research. In general, African and developing countries account for relatively few. The study found that countries with stronger collaborative relationships have a higher number of publications. The United States, for example, has an extensive network of international collaborations and a high publication record. International cooperation has a certain regionalism (<xref ref-type="bibr" rid="B66">Zhu et al., 2021</xref>), and in this study it is clear that European countries tend to cooperate with the United States and Asian countries tend to cooperate within Asia.</p>
<fig id="F2" position="float">
<label>FIGURE 2</label>
<caption>
<p>National cooperation network.</p>
</caption>
<graphic xlink:href="fenvs-11-1196803-g002.tif"/>
</fig>
</sec>
<sec id="s3-3">
<title>3.3 Analysis of research institution</title>
<p>CiteSpace software was used to generate statistics on the top 10 scientific research institutions according to their number of documents and centrality (<xref ref-type="table" rid="T1">Table 1</xref>). Among the top 10 institutions with the largest share of international publications, China 5), followed by the United States 2), Sigapore 1), Finland 1), and Denmark 1). Among the top three research institutions, the Chinese Academy of Sciences ranks first with 132 papers, Peking University ranks second with 39 papers, and United States Forest Service ranks third with 23 papers. From the number of papers published, Chinese research institutions have made great contributions to the field of urban green space ecosystem carbon sequestration research. In terms of the centrality (Means intermediary centrality, a measure of the importance of a node in the network) of the issuing institutions, the top three are Peking University (0.25), Chinese Academy of Sciences (0.11), and Beijing University of Civil Engineering and Architecture (0.11). Among the top 10 centers, China has 6 institutions, the United States has 2 institutions, and Denmark has 2 institutions. In terms of the number and centrality of papers, Chinese research institutions have made significant contributions. The study areas of these studies are all located in Beijing, the capital of China. As the economic and cultural center of the country, the balance between socio-economic development and environmental issues in Beijing has been a hot issue of concern (<xref ref-type="bibr" rid="B15">Fujii et al., 2016</xref>; <xref ref-type="bibr" rid="B55">Xu S. et al., 2017</xref>).</p>
<table-wrap id="T1" position="float">
<label>TABLE 1</label>
<caption>
<p>Top 10 research institutions in article number and centrality published.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="left">Institution</th>
<th align="left">Country</th>
<th align="left">Centrality</th>
<th align="left">Mean year</th>
<th align="left">Institution</th>
<th align="left">Country</th>
<th align="left">Article number</th>
<th align="left">Mean year</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="left">Peking Univ</td>
<td align="left">China</td>
<td align="left">0.25</td>
<td align="left">2013</td>
<td align="left">Chinese Acad Sci</td>
<td align="left">China</td>
<td align="left">132</td>
<td align="left">2017</td>
</tr>
<tr>
<td align="left">Chinese Acad Sci</td>
<td align="left">China</td>
<td align="left">0.11</td>
<td align="left">2007</td>
<td align="left">Peking Univ</td>
<td align="left">China</td>
<td align="left">39</td>
<td align="left">2013</td>
</tr>
<tr>
<td align="left">Beijing Univ Civil Engn and Architecture</td>
<td align="left">China</td>
<td align="left">0.11</td>
<td align="left">2021</td>
<td align="left">US Forest Serv</td>
<td align="left">United States</td>
<td align="left">23</td>
<td align="left">2013</td>
</tr>
<tr>
<td align="left">Beijing Normal Univ</td>
<td align="left">China</td>
<td align="left">0.1</td>
<td align="left">2014</td>
<td align="left">Beijing Normal Univ</td>
<td align="left">China</td>
<td align="left">17</td>
<td align="left">2014</td>
</tr>
<tr>
<td align="left">Beijing Forestry Univ</td>
<td align="left">China</td>
<td align="left">0.09</td>
<td align="left">2013</td>
<td align="left">Univ Helsinki</td>
<td align="left">Finland</td>
<td align="left">12</td>
<td align="left">2016</td>
</tr>
<tr>
<td align="left">Tsinghua Univ</td>
<td align="left">China</td>
<td align="left">0.06</td>
<td align="left">2019</td>
<td align="left">Univ Maryland</td>
<td align="left">United States</td>
<td align="left">11</td>
<td align="left">2006</td>
</tr>
<tr>
<td align="left">US Forest Serv</td>
<td align="left">United States</td>
<td align="left">0.04</td>
<td align="left">2013</td>
<td align="left">Natl Pk Board</td>
<td align="left">Sigapore</td>
<td align="left">9</td>
<td align="left">2012</td>
</tr>
<tr>
<td align="left">Aarhus Univ</td>
<td align="left">Denmark</td>
<td align="left">0.04</td>
<td align="left">2022</td>
<td align="left">Beijing Forestry Univ</td>
<td align="left">China</td>
<td align="left">9</td>
<td align="left">2013</td>
</tr>
<tr>
<td align="left">Univ Maryland</td>
<td align="left">United States</td>
<td align="left">0.02</td>
<td align="left">2006</td>
<td align="left">Univ Copenhagen</td>
<td align="left">Denmark</td>
<td align="left">9</td>
<td align="left">2019</td>
</tr>
<tr>
<td align="left">Univ Copenhagen</td>
<td align="left">Denmark</td>
<td align="left">0.02</td>
<td align="left">2019</td>
<td align="left">Shanghai Jiao Tong Univ</td>
<td align="left">China</td>
<td align="left">8</td>
<td align="left">2021</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec id="s3-4">
<title>3.4 Analysis of journal influence</title>
<p>The cited frequency of a journal represents its academic influence (<xref ref-type="bibr" rid="B62">Zhang et al., 2022</xref>). This paper comprehensively evaluated the influence of publishing journals by combining the three indicators that include: the number of published papers, the total number of citations, and the average number of citations (<xref ref-type="table" rid="T2">Table 2</xref>). In terms of article number, the top three journals in the world are Urban Forest and Urban Greening, Sustainability, and Science of the Total Environment. In terms of the total number of citations, the top three journals in the world are Landscape and Urban Planning, Urban Forestry and Urban Greening, and Journal of Environmental Quality. In terms of the average number of citations, the top three journals in the world are Ambio, Journal of Environmental quality, and Ecological Applications. From the ranking of the three indicators of the number of publications, the total number of citations, and the average number of citations, the journals sponsored by China have not been listed, and this indicates that the international influence and recognition of Chinese journals need to be improved. The reason may be related to the Chinese scientific research evaluation system and the incentive mechanism. At present, Chinese science and technology journals are mainly evaluated by foreign SCI and other evaluation systems (<xref ref-type="bibr" rid="B64">Zhao and Hu, 2020</xref>). Compared to other developed countries, China&#x2019;s international scientific journals were founded later and have lower international influence. China&#x2019;s research evaluation system encourages scientists to submit to international high-level SCI journals, and the development of journals founded in China has been somewhat affected (<xref ref-type="bibr" rid="B31">Lu and Xue, 2019</xref>).</p>
<table-wrap id="T2" position="float">
<label>TABLE 2</label>
<caption>
<p>Top 10 publications by article number, total citation, and average citations.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="left">Publication</th>
<th align="left">Article number</th>
<th align="left">Publication</th>
<th align="left">Total citations</th>
<th align="left">Publication</th>
<th align="left">Average citations</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="left">Urban Forestry and Urban Greening</td>
<td align="left">51</td>
<td align="left">Landscape and Urban Planning</td>
<td align="left">132</td>
<td align="left">Ambio</td>
<td align="left">19</td>
</tr>
<tr>
<td align="left">Sustainability</td>
<td align="left">21</td>
<td align="left">Urban Forestry and Urban Greening</td>
<td align="left">119</td>
<td align="left">Journal of Environmental quality</td>
<td align="left">18</td>
</tr>
<tr>
<td align="left">Science of the Total Environment</td>
<td align="left">20</td>
<td align="left">Journal of Environmental quality</td>
<td align="left">35</td>
<td align="left">Ecological Applications</td>
<td align="left">12</td>
</tr>
<tr>
<td align="left">Forests</td>
<td align="left">19</td>
<td align="left">Global Change Biology</td>
<td align="left">34</td>
<td align="left">Biodiversity and conservation</td>
<td align="left">11</td>
</tr>
<tr>
<td align="left">Ecological Indicators</td>
<td align="left">17</td>
<td align="left">Ecological Applications</td>
<td align="left">24</td>
<td align="left">Landscape and Urban Planning</td>
<td align="left">10</td>
</tr>
<tr>
<td align="left">Landscape and Urban Planning</td>
<td align="left">13</td>
<td align="left">Ecological Indicators</td>
<td align="left">20</td>
<td align="left">Global Change Biology</td>
<td align="left">7</td>
</tr>
<tr>
<td align="left">Urban Ecosystems</td>
<td align="left">13</td>
<td align="left">Ambio</td>
<td align="left">19</td>
<td align="left">Ecological Research</td>
<td align="left">6</td>
</tr>
<tr>
<td align="left">Remote Sensing</td>
<td align="left">9</td>
<td align="left">Urban Ecosystems</td>
<td align="left">17</td>
<td align="left">Environmental research</td>
<td align="left">5</td>
</tr>
<tr>
<td align="left">Journal of Environmental manageme</td>
<td align="left">8</td>
<td align="left">Science of the Total Environment</td>
<td align="left">16</td>
<td align="left">Frontiers in ecology and evolution</td>
<td align="left">5</td>
</tr>
<tr>
<td align="left">Journal of Cleaner Production</td>
<td align="left">6</td>
<td align="left">Journal of Environmental manageme</td>
<td align="left">14</td>
<td align="left">Atmospheric environment</td>
<td align="left">4</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec id="s3-5">
<title>3.5 Research hotspot analysis</title>
<sec id="s3-5-1">
<title>3.5.1 Core keywords and analysis</title>
<p>During the keyword co-occurrence analysis, two terms appeared in the same paper and are further analyzed for their co-occurrence relationship. Keyword analysis reflects the Frontier hotspots and main research contents of research topics within the research field (<xref ref-type="bibr" rid="B63">Zhao et al., 2016</xref>). Using the co-occurrence analysis of keywords hot topics can be identified in a given field. The higher the frequency, the stronger the relationship between the keywords (<xref ref-type="bibr" rid="B39">Ren et al., 2021</xref>). The co-occurrence map of keywords is shown in <xref ref-type="fig" rid="F3">Figure 3</xref>. There were 102 nodes (i.e., 102 critical keywords) and 163 links (density &#x3d; 0.0315).</p>
<fig id="F3" position="float">
<label>FIGURE 3</label>
<caption>
<p>Keywords co-occurrence network.</p>
</caption>
<graphic xlink:href="fenvs-11-1196803-g003.tif"/>
</fig>
<p>
<xref ref-type="fig" rid="F3">Figure 3</xref> shows the frequency node as a circle, and as the frequency increases, the circle becomes larger. Purple nodes indicate the highest betweenness centrality. In terms of betweenness centrality, &#x201c;impact&#x201d; had the highest value of 0.96. In terms of keyword frequency, &#x201c;sequestration&#x201d; had the highest number of 127. Moreover, in <xref ref-type="table" rid="T3">Table 3</xref>, the top 20 keywords were extracted and ranked by betweenness centrality and count number, indicating that research has focused on these fields. According to <xref ref-type="table" rid="T3">Table 3</xref> and <xref ref-type="fig" rid="F3">Figure 3</xref>, we can see that the keywords primarily encompassed 3 research objects: 1) ecosystem services of UGS, such as green space, ecosystem service, temperature, area, and natural environment; 2) Different health behaviors and outcomes of humans, such as physical activity, walking, and human and mental health; 3) The UGS and ecology restoration, e.g., vegetation, biodiversity, restoration, and built environment.</p>
<table-wrap id="T3" position="float">
<label>TABLE 3</label>
<caption>
<p>Top 20 keywords ranked by the frequency and the betweenness centrality value.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="left">Count</th>
<th align="left">Year</th>
<th align="left">Keyword</th>
<th align="left">Centrality</th>
<th align="left">Year</th>
<th align="left">Keyword</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="left">127</td>
<td align="left">2010</td>
<td align="left">sequestration</td>
<td align="left">0.96</td>
<td align="left">2012</td>
<td align="left">impact</td>
</tr>
<tr>
<td align="left">103</td>
<td align="left">2012</td>
<td align="left">ecosystem service</td>
<td align="left">0.53</td>
<td align="left">2006</td>
<td align="left">carbon storage</td>
</tr>
<tr>
<td align="left">94</td>
<td align="left">2007</td>
<td align="left">carbon sequestration</td>
<td align="left">0.53</td>
<td align="left">2012</td>
<td align="left">storage</td>
</tr>
<tr>
<td align="left">75</td>
<td align="left">2012</td>
<td align="left">storage</td>
<td align="left">0.51</td>
<td align="left">2007</td>
<td align="left">city</td>
</tr>
<tr>
<td align="left">61</td>
<td align="left">2012</td>
<td align="left">climate change</td>
<td align="left">0.44</td>
<td align="left">2010</td>
<td align="left">sequestration</td>
</tr>
<tr>
<td align="left">54</td>
<td align="left">2012</td>
<td align="left">impact</td>
<td align="left">0.4</td>
<td align="left">2012</td>
<td align="left">climate change</td>
</tr>
<tr>
<td align="left">51</td>
<td align="left">2013</td>
<td align="left">tree</td>
<td align="left">0.37</td>
<td align="left">2014</td>
<td align="left">air quality</td>
</tr>
<tr>
<td align="left">46</td>
<td align="left">2007</td>
<td align="left">city</td>
<td align="left">0.33</td>
<td align="left">2015</td>
<td align="left">land use</td>
</tr>
<tr>
<td align="left">44</td>
<td align="left">2006</td>
<td align="left">carbon storage</td>
<td align="left">0.31</td>
<td align="left">2006</td>
<td align="left">forest</td>
</tr>
<tr>
<td align="left">36</td>
<td align="left">2015</td>
<td align="left">land use</td>
<td align="left">0.27</td>
<td align="left">2012</td>
<td align="left">ecosystem service</td>
</tr>
<tr>
<td align="left">36</td>
<td align="left">2006</td>
<td align="left">forest</td>
<td align="left">0.26</td>
<td align="left">2002</td>
<td align="left">dynamics</td>
</tr>
<tr>
<td align="left">34</td>
<td align="left">2014</td>
<td align="left">green infrastructure</td>
<td align="left">0.22</td>
<td align="left">2013</td>
<td align="left">tree</td>
</tr>
<tr>
<td align="left">33</td>
<td align="left">2012</td>
<td align="left">emission</td>
<td align="left">0.2</td>
<td align="left">2013</td>
<td align="left">bioma</td>
</tr>
<tr>
<td align="left">32</td>
<td align="left">2011</td>
<td align="left">vegetation</td>
<td align="left">0.19</td>
<td align="left">2015</td>
<td align="left">air pollution</td>
</tr>
<tr>
<td align="left">28</td>
<td align="left">2010</td>
<td align="left">biodiversity</td>
<td align="left">0.19</td>
<td align="left">2010</td>
<td align="left">artificial neural network</td>
</tr>
<tr>
<td align="left">27</td>
<td align="left">2002</td>
<td align="left">dynamics</td>
<td align="left">0.18</td>
<td align="left">2016</td>
<td align="left">cover</td>
</tr>
<tr>
<td align="left">24</td>
<td align="left">2016</td>
<td align="left">management</td>
<td align="left">0.17</td>
<td align="left">2012</td>
<td align="left">landscape</td>
</tr>
<tr>
<td align="left">20</td>
<td align="left">2013</td>
<td align="left">bioma</td>
<td align="left">0.14</td>
<td align="left">2007</td>
<td align="left">carbon sequestration</td>
</tr>
<tr>
<td align="left">20</td>
<td align="left">2011</td>
<td align="left">land use change</td>
<td align="left">0.13</td>
<td align="left">2011</td>
<td align="left">soil organic carbon</td>
</tr>
<tr>
<td align="left">20</td>
<td align="left">2013</td>
<td align="left">urban forest</td>
<td align="left">0.12</td>
<td align="left">2013</td>
<td align="left">dioxide</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec id="s3-5-2">
<title>3.5.2 Literature co-citation analysis</title>
<p>The development process of basic research can be better reflected by the topic clustering of the cited documents. Through the cited documents analysis, a map with 236 nodes, 616 connections, and a network density of 0.0222 was obtained (<xref ref-type="fig" rid="F4">Figure 4</xref>). The LLR algorithm (log-likelihood rate, (one of the clustering label word extraction algorithms, the larger the LLR the more representative the word is for this cluster) was selected to cluster the literature. There are 10 co-clusters, including &#x201c;&#x23; 0 soil organic carbon,&#x201d; &#x201c; &#x23; 1 ecosystem service&#x201d; &#x201c;&#x23; 2 urban forest,&#x201d; and so on.</p>
<fig id="F4" position="float">
<label>FIGURE 4</label>
<caption>
<p>Co-citation map of the international literature from 2001 to 2022.</p>
</caption>
<graphic xlink:href="fenvs-11-1196803-g004.tif"/>
</fig>
<p>The detailed cluster analysis results are shown in <xref ref-type="table" rid="T4">Table 4</xref>, which lists the detailed information of the co-cited clusters: for example, the first cluster &#x201c;&#x23; 0 soil organic carbon&#x201d; primarily includes the keywords such as &#x201c;loess plateau, vegetation restoration, ecological restoration&#x201d; in the co-cited articles. The results of the cluster analysis show that the current research field of urban green space carbon sequestration of the world mainly focuses on urban ecosystem services, urban planning, temperature regulation, urban carbon emissions, and other ecological aspects.</p>
<table-wrap id="T4" position="float">
<label>TABLE 4</label>
<caption>
<p>Summary of 10 clusters.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="left">Id</th>
<th align="left">Size</th>
<th align="left">Silhouette</th>
<th align="left">Mean (year)</th>
<th align="left">Top terms (log-likelihood radio, p-level)</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="left">&#x23;0</td>
<td align="left">36</td>
<td align="left">0.828</td>
<td align="left">2012</td>
<td align="left">
<bold>soil organic carbon</bold> (30.13, 1.0E-4); loess plateau (15.01, 0.001); vegetation restoration (8.03, 0.005); ecological restoration (7.39, 0.01)</td>
</tr>
<tr>
<td align="left">&#x23;1</td>
<td align="left">32</td>
<td align="left">0.732</td>
<td align="left">2014</td>
<td align="left">
<bold>ecosystem services</bold> (21.52, 1.0E-4); green infrastructure (8.24, 0.005); economic valuation (7.66, 0.01)</td>
</tr>
<tr>
<td align="left">&#x23;2</td>
<td align="left">28</td>
<td align="left">0.813</td>
<td align="left">2013</td>
<td align="left">
<bold>urban forest</bold> (9.87, 0.005); allometric Eqs (9.11, 0.005); urban forestry (8.47, 0.005); remote sensing (6.88, 0.01)</td>
</tr>
<tr>
<td align="left">&#x23;3</td>
<td align="left">25</td>
<td align="left">0.754</td>
<td align="left">2018</td>
<td align="left">
<bold>leaf area index</bold> (18.87, 1.0E-4); urban planning (14.52, 0.001); arbuscular mycorrhizal fungi (11.85, 0.001)</td>
</tr>
<tr>
<td align="left">&#x23;4</td>
<td align="left">23</td>
<td align="left">0.799</td>
<td align="left">2014</td>
<td align="left">
<bold>carbon sequestration</bold> (10.09, 0.005); life cycle assessment (8.56, 0.005); carbon footprint (7.01, 0.01)</td>
</tr>
<tr>
<td align="left">&#x23;5</td>
<td align="left">22</td>
<td align="left">0.803</td>
<td align="left">2015</td>
<td align="left">
<bold>methane</bold> (10.95, 0.001); green roofs (10.95, 0.001); co<sub>2</sub> sequestration (8.52, 0.005); temperature sensitivity (7.26, 0.01)</td>
</tr>
<tr>
<td align="left">&#x23;6</td>
<td align="left">21</td>
<td align="left">0.809</td>
<td align="left">2011</td>
<td align="left">
<bold>pollution</bold> (10.03, 0.005); eddy covariance (10.03, 0.005); ecosystem services (6.61, 0.05)</td>
</tr>
<tr>
<td align="left">&#x23;7</td>
<td align="left">17</td>
<td align="left">0.948</td>
<td align="left">2006</td>
<td align="left">
<bold>carbon storage and sequestration</bold> (10.79, 0.005); sensitivity analysis (4.94, 0.05); habitat diversity (4.94, 0.05)</td>
</tr>
<tr>
<td align="left">&#x23;8</td>
<td align="left">16</td>
<td align="left">0.804</td>
<td align="left">2015</td>
<td align="left">
<bold>climate change</bold> (9.75, 0.005); ndvi (7.01, 0.01); urban forest (5.57, 0.05)</td>
</tr>
<tr>
<td align="left">&#x23;9</td>
<td align="left">16</td>
<td align="left">0.851</td>
<td align="left">2020</td>
<td align="left">
<bold>carbon emissions</bold> (9.43, 0.005); carbon neutrality (7.44, 0.01); community composition (7.42, 0.01)</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec id="s3-5-3">
<title>3.5.3 Research frontiers analysis</title>
<p>With burst detection, nodes with large frequency changes can be captured. Using mutation information for cutting-edge analysis reflects the rise of a research theme. A burst detection of keywords map was achieved and the top 10 keywords were extracted (<xref ref-type="fig" rid="F5">Figure 5</xref>). As mentioned above, &#x201c;carbon dioxide&#x201d; is the first key term that is confirmed again here. With &#x201c;ecosystem&#x201d; having the strongest strength of citation bursts (5.67), and its influence lasted from 2011 to 2013. However, no important keywords with strong citation bursts were added after 2019. Furthermore, the top 10 keywords with the strongest citation burst also reflect the research frontiers related to carbon sequestration of UGS including the scopes and objects (e.g., carbon dioxide, ecosystem, urban forestry, soil carbon, and system), and the routes (e.g., carbon footprint, co<sub>2</sub> sequestration, green roof and street tree).</p>
<fig id="F5" position="float">
<label>FIGURE 5</label>
<caption>
<p>Top 20 keywords with strongest citation bursts.</p>
</caption>
<graphic xlink:href="fenvs-11-1196803-g005.tif"/>
</fig>
</sec>
</sec>
</sec>
<sec sec-type="discussion" id="s4">
<title>4 Discussion</title>
<p>Reviewing previous studies and forecasting future development directions was made easier by knowing the knowledge maps. Many researchers around the world currently use CiteSpace, a tool that helps create knowledge maps in many fields such as agriculture (<xref ref-type="bibr" rid="B37">Ouyang et al., 2018</xref>), food science (<xref ref-type="bibr" rid="B47">Sun et al., 2019</xref>; <xref ref-type="bibr" rid="B39">Ren et al., 2021</xref>), technology (<xref ref-type="bibr" rid="B16">Gandia et al., 2019</xref>; <xref ref-type="bibr" rid="B65">Zhong et al., 2019</xref>), planning (<xref ref-type="bibr" rid="B44">Sheikhnejad and Yigitcanlar, 2020</xref>; <xref ref-type="bibr" rid="B61">Zhang et al., 2020</xref>), tourism (<xref ref-type="bibr" rid="B30">Li et al., 2021</xref>), energies (<xref ref-type="bibr" rid="B51">Vardiambasis et al., 2020</xref>; <xref ref-type="bibr" rid="B29">Li et al., 2022</xref>), medicine (<xref ref-type="bibr" rid="B2">Alvarez-Peregrina et al., 2021</xref>; <xref ref-type="bibr" rid="B42">S&#xe1;nchez-Tena et al., 2021</xref>), health (<xref ref-type="bibr" rid="B56">Xu X. et al., 2017</xref>; <xref ref-type="bibr" rid="B35">Nascimento et al., 2020</xref>), and ecology (<xref ref-type="bibr" rid="B5">Bilias et al., 2021</xref>). The carbon sequestration function of UGS has a different emphasis because of the different development stages in each country. A visual analysis of the literature can help us see the differences more clearly.</p>
<sec id="s4-1">
<title>4.1 Urban green space imparts its diversified ecological benefits through the function of carbon sequestration</title>
<p>&#x201c;Ecological benefit&#x201d; refers to the beneficial influence and effect of nature on human production, living conditions, and environmental conditions (<xref ref-type="bibr" rid="B38">P&#xe9;rez-Gonz&#xe1;lez et al., 2021</xref>). The concept of ecosystem services is the interaction between human beings and the environment through a series of combinations of biological diversity and non-biological elements, thus, linking biological processes and functions (<xref ref-type="bibr" rid="B43">Semeraro et al., 2021</xref>). The relationship between urban form and measures of environmental quality and biodiversity potential can affect the ecological performance of the urban environment (<xref ref-type="bibr" rid="B24">Jamie et al., 2007</xref>). With the acceleration of urbanization and the change in urban climate and environment, the focus of urban green space research has shifted to an in-depth discussion of the solutions to urban ecological environment problems, and has made major breakthroughs in alleviating the urban heat island effect, protecting biodiversity, and mitigating rain and flood disasters (<xref ref-type="bibr" rid="B6">Bowler et al., 2010</xref>). Human wellbeing has been studied extensively concerning ecological benefits of urban green land. The benefits of green space for people&#x2019;s health and wellbeing can be viewed as a positive correlation (<xref ref-type="bibr" rid="B10">Cohen et al., 2007</xref>; <xref ref-type="bibr" rid="B48">Tzoulas et al., 2007</xref>), in physical and mental health (<xref ref-type="bibr" rid="B32">Maas et al., 2006</xref>; <xref ref-type="bibr" rid="B46">Sugiyama et al., 2008</xref>). Pollution will change the phosphorus, carbon, and nitrogen in the ecological stoichiometry of terrestrial plants, affecting vegetation productivity, nutrient utilization rates, and carbon sequestration capacity (<xref ref-type="bibr" rid="B20">Hou et al., 2022</xref>). In recent years, relevant research tends to comprehensively explore the relationship between urban green space, the ecological environment, and the overall health benefits of resident use (<xref ref-type="bibr" rid="B53">Wolch et al., 2014</xref>). Studying urban green space, even small urban green space promotes ecosystem services in the urban landscape. For example, the increase in local vegetation density and leaf area was related to higher levels of ecosystem service provision in urban areas, such as air pollutant capture, carbon storage, and heat mitigation. Urban habitats with higher vegetation coverage and density provide more carbon storage and bring greater heat island mitigation benefits to residents (<xref ref-type="bibr" rid="B11">Davwas et al., 2016</xref>).</p>
<p>The focus of carbon sequestration in urban green spaces is to strengthen the construction and protection of urban ecology and green space, such as the construction of carbon sequestration in urban green spaces that include planting trees and grass (<xref ref-type="bibr" rid="B58">Yang et al., 2022</xref>). To maximize the carbon sequestration of urban green space, it is necessary to optimize the urban green space&#x2019;s ecosystem layout, species allocation, and ecosystem management (<xref ref-type="bibr" rid="B14">Fang, 2021</xref>). In the study of carbon sequestration of urban green space, screening of high-capacity carbon sequestration vegetation was helpful for the construction of carbon sequestration. Some studies have screened out pioneer plants such as mold morifolium, cane grass, and wild grass, which have high carbon sequestration capacity under a low nitrogen demand and can gradually increase vegetation coverage in exposed areas (<xref ref-type="bibr" rid="B19">He, 2015</xref>). However, a problem that was easily ignored was the role of vegetation with high carbon fixation capacities. <xref ref-type="bibr" rid="B21">Hua et al., 2022</xref> study shows, the carbon sequestration production efficiency of artificial forests was higher than that of natural forests; however, was not as effective as natural forests in carbon sequestration, soil conservation, water storage, and biodiversity protection (<xref ref-type="bibr" rid="B21">Hua et al., 2022</xref>). Biodiversity was closely related to community stability. Greenbelt communities with high carbon sequestration and low biodiversity may have worse carbon sequestration performance under extreme climate conditions, or even a reverse effect (<xref ref-type="bibr" rid="B17">Gatti et al., 2021</xref>). Some studies have also confirmed that carbon sequestration was positively correlated with tree species richness. The proportion of native trees in green spaces indicates that the biodiversity goal of increasing tree diversity provides carbon sequestration benefits (<xref ref-type="bibr" rid="B4">Belaire et al., 2022</xref>). Therefore, attention should be paid to biodiversity when constructing or researching the carbon sequestration of urban green space.</p>
</sec>
<sec id="s4-2">
<title>4.2 Urban green space carbon sequestration accounting and management</title>
<p>With the evolution of urban green space development stages and the emergence of new technologies, research on green space management and maintenance modes and methods as well as the evolution of green space spatial patterns has increased rapidly (<xref ref-type="bibr" rid="B26">Jansson and Lindgren, 2012</xref>; <xref ref-type="bibr" rid="B36">Nurbaya et al., 2016</xref>). The relationship between urbanization, urban green space, and the carbon cycle has attracted significant attention in recent years. Environmental managers need to design and manage urban ecosystems in a way that enhances the stability of green space and the harmony between humans and nature (<xref ref-type="bibr" rid="B33">McPhearson et al., 2016</xref>). Urbanization constitutes an important process of land use and land cover change, which has an impact on both land and wetland carbon pools. Large and concentrated carbon fluxes as well as rapid changes in carbon pools make cities a large and dynamic element of the global carbon cycle (<xref ref-type="bibr" rid="B22">Hutyra et al., 2014</xref>). Previous studies have focused on determining the characteristics of carbon sources or sink at the regional and global scales, while there are few studies at the local and urban scales, due to the mixing of anthropogenic and natural fluxes being more complex and difficult to observe independently (<xref ref-type="bibr" rid="B22">Hutyra et al., 2014</xref>). In the past two decades, the research and assessment of ecosystem services through remote sensing has increased significantly. The development of satellite image technology has improved its space, spectrum, radiation, and time resolution, enabling spatial-temporal observations as well as the classification and monitoring of the vegetation on the land surface (<xref ref-type="bibr" rid="B3">Ang&#xe9;lica et al., 2022</xref>). Urban green space vegetation was more heterogeneous than natural forests. The growth environment also showed significant differences. Therefore, it was necessary to optimize the investigation methods applicable to the characteristics of urban green space carbon sequestration research.</p>
<p>There are few studies on carbon sequestration accounting methods specifically for urban green space, with most of the research methods being optimized by the forest, grassland, and wetland carbon sequestration accounting methods. The biomass method was mainly used to indirectly calculate carbon sequestration based on the change in plant biomass, which is currently the most commonly used method to calculate carbon storage (<xref ref-type="bibr" rid="B54">Xiao et al., 2022</xref>). The development of the model accounting method of urban green space carbon sequestration capacity was based on the leaf area index equation (<xref ref-type="bibr" rid="B40">Ren et al., 2018</xref>). The carbon footprint method can also be used for statistical analysis of the carbon sequestration capacity of urban green space (<xref ref-type="bibr" rid="B54">Xiao et al., 2022</xref>). The vorticity correlation method uses the principle of micrometeorology to monitor CO<sub>2</sub> concentrations, wind speed, and direction at a certain height above the forest land to obtain the amount of CO<sub>2</sub> fixed or released by the ecosystem (<xref ref-type="bibr" rid="B50">Valentini et al., 2000</xref>). The combination of geographic information systems (GIS) and remote sensing (RS) allowed for information spatial analysis integration. The remote sensing model simulation method was mainly used to obtain vegetation growth state parameters using remote sensing technology and information systems. The combination of the two combined with ground survey analysis was used to obtain the forest biomass. For example, the three-dimensional green volume of the city can be obtained by using satellite aerial photographs and computer simulation (<xref ref-type="bibr" rid="B27">Kong et al., 2007</xref>). The calculation of carbon sequestration capacity based on professional software has also been widely used, such as i-Tree, CITY-green, and other software (<xref ref-type="bibr" rid="B60">Yao et al., 2022</xref>).</p>
</sec>
</sec>
<sec sec-type="conclusion" id="s5">
<title>5 Conclusion</title>
<p>
<list list-type="simple">
<list-item>
<p>(1) The number of papers published on urban green space carbon sequestration research is on the rise, with a total of 723 papers (including 226 in China) from 2001 to 2023, and has increased significantly in recent years. The number of papers published in China and the influence of published journals was high. From the perspective of international cooperation institutions, the cooperation between China and the United States is similar. Peking University, the Chinese Academy of Sciences, and United States Forest Service have contributed the most to this research field. Major international journals include Urban Forest and Urban Greening, Landscape and Urban Planning, and Ambio.</p>
</list-item>
<list-item>
<p>(2) Through the analysis of keywords and the literature co-cited atlas, it was inferred that the hot keywords include carbon sequestration, ecosystem services, and climate change. The research hotspots of urban green space ecosystem carbon sequestration primarily focus on the urban green space ecological benefit evaluations, urban green space climate regulation, biodiversity protection functions, and the biogeochemical cycle of urban green space ecosystems.</p>
</list-item>
<list-item>
<p>(3) Urban green space imparts its diversified ecological benefits through the function of carbon sequestration. The utilization of new technologies has optimized the carbon sequestration accounting methods of urban green spaces, such as remote sensing, The vorticity correlation method, and satellite image technology, which also further promote the research of urban green space carbon sequestration. Urban management and maintenance models based on the perspective of carbon sequestration in urban green areas have been emphasized and developed.</p>
</list-item>
</list>
</p>
</sec>
</body>
<back>
<sec id="s6">
<title>Author contributions</title>
<p>Conceptualization, LA and YF; methodology, HW; software, HW, validation, HW, YF and LA, formal analysis, HW, investigation, HW, resources, HW, data curation, LA, writing&#x2014;original draft preparation, HW, writing&#x2014;review and editing, YF, visualization, HW, supervision, HW, project administration, LA, funding acquisition, LA. All authors have read and agreed to the published version of the manuscript.</p>
</sec>
<sec id="s7">
<title>Funding</title>
<p>This research was funded by the Performance Incentive and Guidance Special Project for Chongqing Scientific Research Institutes (No.cstc2022jxjl20010, No.cstc2022jxjl80005), the Postdoctoral Science Foundation of Chongqing Natural Science Foundation (No. CSTB2022NSCQ-BHX0740), the Scientific research project of Chongqing City Administration Bureau ( No. CGK 2022-19), and The APC was funded by Performance Incentive and Guidance Special Project for Chongqing Scientific Research Institutes.</p>
</sec>
<ack>
<p>The authors would like to thank the reviewers and the editor whose suggestions greatly improved the manuscript. The authors thank AiMi Academic Services (<ext-link ext-link-type="uri" xlink:href="http://www.aimieditor.com">www.aimieditor.com</ext-link>) for English language editing and review services. Thanks to Qiaoyong Zhang, Min Zou, and Ting Li for their help in revising the thesis.</p>
</ack>
<sec sec-type="COI-statement" id="s8">
<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="s9">
<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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