{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,26]],"date-time":"2026-08-26T06:28:10Z","timestamp":1787725690696,"version":"build-2784847793"},"reference-count":63,"publisher":"Frontiers Media SA","license":[{"start":{"date-parts":[[2026,8,26]],"date-time":"2026-08-26T00:00:00Z","timestamp":1787702400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["frontiersin.org"],"crossmark-restriction":true},"short-container-title":["Front. Plant Sci."],"abstract":"<jats:sec>\n                    <jats:title>Introduction<\/jats:title>\n                    <jats:p>Heilongjiang Province ranks third in China in forest area, with over half of its forests being natural secondary forests. The province has fertile soil and plays a crucial role in China's forest ecosystem. Nevertheless, historical indiscriminate logging has resulted in degraded forest conditions, reduced productivity, and compromised carbon sequestration capacity.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>This research focused on the larch-birch natural secondary forest in the Greater Khingan Mountains, examining the soil twelve years after thinning. Six thinning treatments (0%, 16.7%, 25.5%, 34.4%, 49.6%, 59.9%) were compared to assess soil physical and chemical properties, soil carbon storage, and to elucidate the associations between thinning intensity and soil carbon storage dynamics. A soil organic carbon (SOC) content prediction model was developed using near-infrared spectroscopy and a Back Propagation neural network (BPNN) .<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>\n                      The findings indicate that thinning intensity significantly alters soil carbon storage by affecting key parameters such as soil moisture and organic carbon content. Specifically, a 34.4% thinning intensity significantly enhanced soil moisture content (56.67% vs. 33.02% in control,\n                      <jats:italic>p<\/jats:italic>\n                      &amp;lt; 0.05) and SOC content (66.17 g\/kg vs. 32.03 g\/kg in control,\n                      <jats:italic>p<\/jats:italic>\n                      &amp;lt; 0.05), leading to a substantial increase in total soil carbon storage (83.80 t\/ha vs. 43.99 t\/ha in control,\n                      <jats:italic>p<\/jats:italic>\n                      &amp;lt; 0.05). The NIRS-BPNN model achieved a prediction set correlation coefficient of\n                      <jats:italic>Rp<\/jats:italic>\n                      = 0.9293 (\n                      <jats:italic>\n                        R\n                        <jats:sup>2<\/jats:sup>\n                        p\n                      <\/jats:italic>\n                      = 0.8635, RMSEP = 0.0064, RPD = 2.8), demonstrating good predictive performance.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Discussion<\/jats:title>\n                    <jats:p>This research elucidates the responses of soil carbon storage to tending and thinning, providing a scientific foundation for the management of secondary forests. The NIRS-BPNN model offers a novel, rapid, and non-destructive approach for the large-scale assessment of SOC content in secondary forests, holding considerable theoretical and practical significance for forest carbon monitoring and climate change mitigation.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.3389\/fpls.2026.1926304","type":"journal-article","created":{"date-parts":[[2026,8,26]],"date-time":"2026-08-26T05:57:49Z","timestamp":1787723869000},"update-policy":"https:\/\/doi.org\/10.3389\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["Responses of soil carbon storage to tending thinning and rapid prediction based on NIRS-BPNN in larch-birch natural secondary forests"],"prefix":"10.3389","volume":"17","author":[{"given":"Yongbin","family":"Meng","sequence":"first","affiliation":[{"name":"School of Life Science, Yan\u2019an University","place":["Yan\u2019an, China"]},{"name":"Key Laboratory of Applied Ecology of Loess Plateau, Shaanxi Province Higher Education Institutions, Yan\u2018an University","place":["Yan\u2019an, China"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yuanyuan","family":"Zhang","sequence":"additional","affiliation":[{"name":"School of Life Science, Yan\u2019an University","place":["Yan\u2019an, China"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xiangqian","family":"Zhang","sequence":"additional","affiliation":[{"name":"School of Life Science, Yan\u2019an University","place":["Yan\u2019an, China"]},{"name":"Key Laboratory of Applied Ecology of Loess Plateau, Shaanxi Province Higher Education Institutions, Yan\u2018an University","place":["Yan\u2019an, China"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Wenting","family":"Jiang","sequence":"additional","affiliation":[{"name":"School of Life Science, Yan\u2019an University","place":["Yan\u2019an, China"]},{"name":"Key Laboratory of Applied Ecology of Loess Plateau, Shaanxi Province Higher Education Institutions, Yan\u2018an University","place":["Yan\u2019an, China"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yuanyuan","family":"Yang","sequence":"additional","affiliation":[{"name":"School of Life Science, Yan\u2019an University","place":["Yan\u2019an, China"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Chunmei","family":"Chen","sequence":"additional","affiliation":[{"name":"School of Life Science, Yan\u2019an University","place":["Yan\u2019an, China"]}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1965","published-online":{"date-parts":[[2026,8,26]]},"reference":[{"key":"B1","doi-asserted-by":"publisher","first-page":"172","DOI":"10.1016\/j.iswcr.2025.12.001","article-title":"Land use-driven shifts in labile carbon fractions regulated total profile sequestration of soil organic and inorganic carbon in arid environments","volume":"14","author":"Acharya","year":"2025","journal-title":"Int. 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