{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Zhang J"],"funding":["the Natural Science Foundation of Education Department of Guangdong Province","the Science and Technology Projection of Jiaying University","the Major Projects of Guangdong Education Department for Foundation Research and Applied Research","the Natural Science Foundation of Guangdong Province","the National Natural Science Foundation of China"],"pagination":["27541"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC12307627"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["15(1)"],"pubmed_abstract":["Mountain ecosystems have experienced significant anthropogenic disturbances, resulting in severe degradation. Due to their intricate topography, climatic zonation, and spatial heterogeneity, the spatial and temporal evolution of net productivity in mountain ecosystems and the underlying driving factors remain unclear. This study focuses on the Southern Hilly Mountainous Belt of China (SHMB) to investigate the trends in net primary productivity (NPP) and its response mechanism from 2001 to 2020. The study employs Mann-Kendall trend test, Convergent Cross Mapping analysis, Pearson correlation analysis, and Geographical Detectors. The findings of this study are as follows: (1) The spatial distribution of NPP in the entire SHMB is significantly influenced by LULC (0.43 > q > 0.14, p < 0.005). "],"journal":["Scientific reports"],"pubmed_title":["Topographic-mediated climate-NPP relationships in subtropical mountain heterogeneity units."],"pmcid":["PMC12307627"],"funding_grant_id":["41861002","2022A1515012010","2021ZDZX4046","2023KJM04","2021KQNCX090"],"pubmed_authors":["Liu Y","Guo J","Zhang J","Labat D","Xie Z"],"additional_accession":[]},"is_claimable":false,"name":"Topographic-mediated climate-NPP relationships in subtropical mountain heterogeneity units.","description":"Mountain ecosystems have experienced significant anthropogenic disturbances, resulting in severe degradation. Due to their intricate topography, climatic zonation, and spatial heterogeneity, the spatial and temporal evolution of net productivity in mountain ecosystems and the underlying driving factors remain unclear. This study focuses on the Southern Hilly Mountainous Belt of China (SHMB) to investigate the trends in net primary productivity (NPP) and its response mechanism from 2001 to 2020. The study employs Mann-Kendall trend test, Convergent Cross Mapping analysis, Pearson correlation analysis, and Geographical Detectors. The findings of this study are as follows: (1) The spatial distribution of NPP in the entire SHMB is significantly influenced by LULC (0.43 > q > 0.14, p < 0.005). ","dates":{"release":"2025-01-01T00:00:00Z","publication":"2025 Jul","modification":"2026-03-18T14:04:29.03Z","creation":"2025-08-23T03:07:25.95Z"},"accession":"S-EPMC12307627","cross_references":{"pubmed":["40730622"],"doi":["10.1038/s41598-025-12016-4"]}}