Suitability mapping of native tree species in dry-hot valleys of Yunnan based on InVEST-MaxEnt coupled modeling: model validation framework with native tree species actual distribution and seed germination
IntroductionThe target valleys along the Jinsha, Nujiang, Lancang, and Yuanjiang Rivers exhibit acute human-land conflicts and ecosystem vulnerability. Predicting the distribution of potential suitable habitats for native tree species in Yunnan Province provides basin-scale insights for the manageme...
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Frontiers Media S.A.
2025-04-01
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| Series: | Frontiers in Plant Science |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fpls.2025.1577623/full |
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| author | Meng Xie Xiaobo Song Xuexing Zhang Yongpeng Ma Zhilin Song Fengjuan Li Wei Li Linyuan Fan Hong Ma Hong Ma Hong Ma |
| author_facet | Meng Xie Xiaobo Song Xuexing Zhang Yongpeng Ma Zhilin Song Fengjuan Li Wei Li Linyuan Fan Hong Ma Hong Ma Hong Ma |
| author_sort | Meng Xie |
| collection | DOAJ |
| description | IntroductionThe target valleys along the Jinsha, Nujiang, Lancang, and Yuanjiang Rivers exhibit acute human-land conflicts and ecosystem vulnerability. Predicting the distribution of potential suitable habitats for native tree species in Yunnan Province provides basin-scale insights for the management of ecosystems in dry and hot valleys, thereby advancing restoration planning in dry-hot valleys.MethodsThis study investigates native tree species suitability in Yunnan’s dry-hot valleys using an integrated MaxEnt-InVEST modeling framework.ResultsTemperature and precipitation emerged as dominant bioclimatic controls, with optimal species occurrence (1 000–2 500 m) showing negative elevation correlation. Four native tree species (Osteomeles schwerinae, Phyllanthus emblica, Quercus francetii and Sapindus delavayi) displayed fragmented suitable areas along mountainous riparian zones, while habitat quality hotspots mainly covered non-urbanized regions, avoiding central urban clusters and northeastern/southeastern karst zones. The coupled model demonstrated significantly improved accuracy compared to the standalone MaxEnt by incorporating land-use impacts, with Yuanmou County case analysis confirming the enhanced predictive capability through actual distribution patterns. Spatial prioritization identified core planting clusters in central/southeastern valleys, though fragmented by agricultural encroachment.DiscussionThis methodology provides a cost-effective solution for vegetation restoration planning in ecologically fragile dry-hot ecosystems. The research results can provide scientific support for the restoration of degraded ecosystems in dry-hot valleys of Yunnan Province, the national Afforestation program and soil and water conservation projects. |
| format | Article |
| id | doaj-art-1bdb5ebfe3964ae8b80f105fd1b028f3 |
| institution | OA Journals |
| issn | 1664-462X |
| language | English |
| publishDate | 2025-04-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Plant Science |
| spelling | doaj-art-1bdb5ebfe3964ae8b80f105fd1b028f32025-08-20T02:28:16ZengFrontiers Media S.A.Frontiers in Plant Science1664-462X2025-04-011610.3389/fpls.2025.15776231577623Suitability mapping of native tree species in dry-hot valleys of Yunnan based on InVEST-MaxEnt coupled modeling: model validation framework with native tree species actual distribution and seed germinationMeng Xie0Xiaobo Song1Xuexing Zhang2Yongpeng Ma3Zhilin Song4Fengjuan Li5Wei Li6Linyuan Fan7Hong Ma8Hong Ma9Hong Ma10Institute of Highland Forest Science, Chinese Academy of Forestry, State Key Laboratory of Efficient Production of Forest Resources, Yunnan, Kunming, ChinaRushan Inspection and Testing Center, Rushan, ChinaYunnan Academy of Forestry and Grassland, Kunming, ChinaKey Laboratory of Comprehensive Conservation for Extremely Small Populations of Wild Plants in Yunnan Province, Kunming Institute of Botany, Chinese Academy of Sciences, Kunming, ChinaRushan Forestry Development Center, Rushan, ChinaInstitute of Highland Forest Science, Chinese Academy of Forestry, State Key Laboratory of Efficient Production of Forest Resources, Yunnan, Kunming, ChinaYunnan Jicheng Landscape Technology Co., Ltd., Mile, ChinaYunnan General Administration of Forestry Seeds and Seedlings, Kunming, ChinaInstitute of Highland Forest Science, Chinese Academy of Forestry, State Key Laboratory of Efficient Production of Forest Resources, Yunnan, Kunming, ChinaKey Laboratory of Breeding and Utilization of Resource Insects, National Forestry and Grassland Administration, Kunming, ChinaYuanmou Desert Ecosystem Research Station, National Long-Term Scientific Research Base of Comprehensive Control, Chuxiong, Yunnan, ChinaIntroductionThe target valleys along the Jinsha, Nujiang, Lancang, and Yuanjiang Rivers exhibit acute human-land conflicts and ecosystem vulnerability. Predicting the distribution of potential suitable habitats for native tree species in Yunnan Province provides basin-scale insights for the management of ecosystems in dry and hot valleys, thereby advancing restoration planning in dry-hot valleys.MethodsThis study investigates native tree species suitability in Yunnan’s dry-hot valleys using an integrated MaxEnt-InVEST modeling framework.ResultsTemperature and precipitation emerged as dominant bioclimatic controls, with optimal species occurrence (1 000–2 500 m) showing negative elevation correlation. Four native tree species (Osteomeles schwerinae, Phyllanthus emblica, Quercus francetii and Sapindus delavayi) displayed fragmented suitable areas along mountainous riparian zones, while habitat quality hotspots mainly covered non-urbanized regions, avoiding central urban clusters and northeastern/southeastern karst zones. The coupled model demonstrated significantly improved accuracy compared to the standalone MaxEnt by incorporating land-use impacts, with Yuanmou County case analysis confirming the enhanced predictive capability through actual distribution patterns. Spatial prioritization identified core planting clusters in central/southeastern valleys, though fragmented by agricultural encroachment.DiscussionThis methodology provides a cost-effective solution for vegetation restoration planning in ecologically fragile dry-hot ecosystems. The research results can provide scientific support for the restoration of degraded ecosystems in dry-hot valleys of Yunnan Province, the national Afforestation program and soil and water conservation projects.https://www.frontiersin.org/articles/10.3389/fpls.2025.1577623/fulldry-hot valleysnative tree speciesInVEST-MaxEnt coupled modelingsuitability mappingmodel validation framework |
| spellingShingle | Meng Xie Xiaobo Song Xuexing Zhang Yongpeng Ma Zhilin Song Fengjuan Li Wei Li Linyuan Fan Hong Ma Hong Ma Hong Ma Suitability mapping of native tree species in dry-hot valleys of Yunnan based on InVEST-MaxEnt coupled modeling: model validation framework with native tree species actual distribution and seed germination Frontiers in Plant Science dry-hot valleys native tree species InVEST-MaxEnt coupled modeling suitability mapping model validation framework |
| title | Suitability mapping of native tree species in dry-hot valleys of Yunnan based on InVEST-MaxEnt coupled modeling: model validation framework with native tree species actual distribution and seed germination |
| title_full | Suitability mapping of native tree species in dry-hot valleys of Yunnan based on InVEST-MaxEnt coupled modeling: model validation framework with native tree species actual distribution and seed germination |
| title_fullStr | Suitability mapping of native tree species in dry-hot valleys of Yunnan based on InVEST-MaxEnt coupled modeling: model validation framework with native tree species actual distribution and seed germination |
| title_full_unstemmed | Suitability mapping of native tree species in dry-hot valleys of Yunnan based on InVEST-MaxEnt coupled modeling: model validation framework with native tree species actual distribution and seed germination |
| title_short | Suitability mapping of native tree species in dry-hot valleys of Yunnan based on InVEST-MaxEnt coupled modeling: model validation framework with native tree species actual distribution and seed germination |
| title_sort | suitability mapping of native tree species in dry hot valleys of yunnan based on invest maxent coupled modeling model validation framework with native tree species actual distribution and seed germination |
| topic | dry-hot valleys native tree species InVEST-MaxEnt coupled modeling suitability mapping model validation framework |
| url | https://www.frontiersin.org/articles/10.3389/fpls.2025.1577623/full |
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