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<front>
<journal-meta>
<journal-id journal-id-type="publisher">EGUsphere</journal-id>
<journal-title-group>
<journal-title>EGUsphere</journal-title>
<abbrev-journal-title abbrev-type="publisher">EGUsphere</abbrev-journal-title>
<abbrev-journal-title abbrev-type="nlm-ta">EGUsphere</abbrev-journal-title>
</journal-title-group>
<publisher><publisher-name>Copernicus Publications</publisher-name>
<publisher-loc>Göttingen, Germany</publisher-loc>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.5194/egusphere-2026-5116</article-id>
<title-group>
<article-title>High-resolution land-cover dynamics reveal strong regional contrasts in China&amp;rsquo;s biogenic isoprene emissions, 2000&amp;ndash;2025</article-title>
</title-group>
<contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Ran</surname>
<given-names>Haofan</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
</contrib>
<contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Lu</surname>
<given-names>Yuting</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
</contrib>
<contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Zhang</surname>
<given-names>Yanli</given-names>
<ext-link>https://orcid.org/0000-0003-0614-2096</ext-link>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
</contrib>
<contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Wang</surname>
<given-names>Xinming</given-names>
<ext-link>https://orcid.org/0000-0002-1982-0928</ext-link>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
</contrib>
</contrib-group><aff id="aff1">
<label>1</label>
<addr-line>State Key Laboratory of Advanced Environmental Technology, Guangzhou Institute of Geochemistry, Chinese Academy of  Sciences, Guangzhou 510640, China</addr-line>
</aff>
<aff id="aff2">
<label>2</label>
<addr-line>College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China</addr-line>
</aff>
<pub-date pub-type="epub">
<day>14</day>
<month>10</month>
<year>2026</year>
</pub-date>
<volume>2026</volume>
<fpage>1</fpage>
<lpage>29</lpage>
<permissions>
<copyright-statement>Copyright: &#x000a9; 2026 Haofan Ran et al.</copyright-statement>
<copyright-year>2026</copyright-year>
<license license-type="open-access">
<license-p>This work is licensed under the Creative Commons Attribution 4.0 International License. To view a copy of this licence, visit <ext-link ext-link-type="uri"  xlink:href="https://creativecommons.org/licenses/by/4.0/">https://creativecommons.org/licenses/by/4.0/</ext-link></license-p>
</license>
</permissions>
<self-uri xlink:href="https://egusphere.copernicus.org/preprints/2026/egusphere-2026-5116/">This article is available from https://egusphere.copernicus.org/preprints/2026/egusphere-2026-5116/</self-uri>
<self-uri xlink:href="https://egusphere.copernicus.org/preprints/2026/egusphere-2026-5116/egusphere-2026-5116.pdf">The full text article is available as a PDF file from https://egusphere.copernicus.org/preprints/2026/egusphere-2026-5116/egusphere-2026-5116.pdf</self-uri>
<abstract>
<p>Isoprene is a reactive biogenic volatile organic compound whose atmospheric impacts depend strongly on spatio-temporal emission patterns. Because Chinese inventories often rely on coarse or static land-cover information, we quantified how annual land-cover dynamics altered isoprene emissions across China during 2000&amp;ndash;2025. Using a Google Earth Engine implementation of the Model of Emissions of Gases and Aerosols from Nature (MEGAN), driven by Landsat and Sentinel-2 land cover, satellite leaf area index, and 0.1&amp;deg; ERA5-Land meteorology, emissions were calculated on native 10&amp;ndash;30 m grids. These were aggregated to an hourly 100 m output and compared with a 0.25&amp;deg; coarse simulation. National emissions averaged 9.87 &amp;plusmn; 1.53 Tg yr&lt;sup&gt;-1&lt;/sup&gt;, increasing from 8.49 in 2000 to 12.35 Tg yr&lt;sup&gt;-1&lt;/sup&gt; in 2025. Following a non-significant trend (2000&amp;ndash;2012), emissions increased by 0.23 Tg yr&lt;sup&gt;-1&lt;/sup&gt; during 2013&amp;ndash;2025 (p &amp;lt; 0.05), driven by temperature (40.4 %) and land-cover change (39.6 %). Crucially, fine land-cover data yielded a national mean only 6.2 % lower than the coarse simulation, yet exposed massive regional contrasts: +101.2 % in Beijing&amp;ndash;Tianjin&amp;ndash;Hebei and &amp;minus;20.2 % in the Pearl River Delta. Regional seasonality also varied, with summer contributing 49.4 % of emissions in Southwest China versus 78.8 % in the Northeast. Therefore, national-level agreement between inventories can mask substantial regional redistributions, with major implications for biogenic volatile organic compound inputs to atmospheric chemistry models. Estimates remain sensitive to satellite product transitions, default MEGAN emission factors, land-cover-to-plant-functional-type conversion, and meteorological forcing.</p>
</abstract>
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<funding-group>
<award-group id="gs1">
<funding-source>National Natural Science Foundation of China</funding-source>
<award-id>42321003</award-id>
</award-group>
<award-group id="gs2">
<funding-source>Ministry of Science and Technology of the People&apos;s Republic of China</funding-source>
<award-id>2024YFC3714300</award-id>
</award-group>
</funding-group>
</article-meta>
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