Spatiotemporal variation and driving mechanisms of vegetation net primary productivity in Hunan Province from 2001 to 2023
Understanding the spatiotemporal variation in vegetation net primary productivity (NPP) and its response to natural and anthropogenic factors is essential for advancing regional ecological conservation and restoration. Therefore, this study employed the Mann–Kendall test, Sen's slope estimator,...
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| Language: | English |
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Elsevier
2025-12-01
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| Series: | Science of Remote Sensing |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2666017225000756 |
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| author | Xiangyu Yin Dan Cao |
| author_facet | Xiangyu Yin Dan Cao |
| author_sort | Xiangyu Yin |
| collection | DOAJ |
| description | Understanding the spatiotemporal variation in vegetation net primary productivity (NPP) and its response to natural and anthropogenic factors is essential for advancing regional ecological conservation and restoration. Therefore, this study employed the Mann–Kendall test, Sen's slope estimator, and partial correlation analysis to identify the trends and relationships between NPP and climatic factors across Hunan Province, China. Additionally, Random Forest and Geodetector models were used to evaluate the explanatory power of natural and anthropogenic factors on NPP. The following results were obtained: (1) During the study period from 2001 to 2023, the average annual NPP showed an increasing trend, with a growth rate of 2.66 gC/m2/a; (2) in high-altitude areas and the Dongting Lake Plain, average NPP was lower during 2019–2023 than that during 2001–2005, but higher in other regions. (3) in Hunan Province, NPP was more sensitive to temperature than to precipitation. Considering the lag effect of climatic factors, the temperature from the previous year showed a significant positive impact on NPP; (4) elevation had the strongest explanatory power for NPP and exhibited notable bivariate enhancement when interacting with other factors. Thus, our study provides a systematic analysis of the temporal and spatial variations in NPP, offering a scientific basis for the sustainable management of regional ecosystems. |
| format | Article |
| id | doaj-art-6fb3cefad6a14f239eb88ffb45037be7 |
| institution | Kabale University |
| issn | 2666-0172 |
| language | English |
| publishDate | 2025-12-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Science of Remote Sensing |
| spelling | doaj-art-6fb3cefad6a14f239eb88ffb45037be72025-08-20T03:41:44ZengElsevierScience of Remote Sensing2666-01722025-12-011210026910.1016/j.srs.2025.100269Spatiotemporal variation and driving mechanisms of vegetation net primary productivity in Hunan Province from 2001 to 2023Xiangyu Yin0Dan Cao1Key Laboratory of Soil and Water Conservation and Desertification Combating of Hunan Province, Central South University of Forestry and Technology, Changsha 410018, ChinaCorresponding author. Central South University of Forestry and Technology, China.; Key Laboratory of Soil and Water Conservation and Desertification Combating of Hunan Province, Central South University of Forestry and Technology, Changsha 410018, ChinaUnderstanding the spatiotemporal variation in vegetation net primary productivity (NPP) and its response to natural and anthropogenic factors is essential for advancing regional ecological conservation and restoration. Therefore, this study employed the Mann–Kendall test, Sen's slope estimator, and partial correlation analysis to identify the trends and relationships between NPP and climatic factors across Hunan Province, China. Additionally, Random Forest and Geodetector models were used to evaluate the explanatory power of natural and anthropogenic factors on NPP. The following results were obtained: (1) During the study period from 2001 to 2023, the average annual NPP showed an increasing trend, with a growth rate of 2.66 gC/m2/a; (2) in high-altitude areas and the Dongting Lake Plain, average NPP was lower during 2019–2023 than that during 2001–2005, but higher in other regions. (3) in Hunan Province, NPP was more sensitive to temperature than to precipitation. Considering the lag effect of climatic factors, the temperature from the previous year showed a significant positive impact on NPP; (4) elevation had the strongest explanatory power for NPP and exhibited notable bivariate enhancement when interacting with other factors. Thus, our study provides a systematic analysis of the temporal and spatial variations in NPP, offering a scientific basis for the sustainable management of regional ecosystems.http://www.sciencedirect.com/science/article/pii/S2666017225000756Vegetation net primary productivitySpatiotemporal variationInfluencing factorsHunan provinceClimate lag effect |
| spellingShingle | Xiangyu Yin Dan Cao Spatiotemporal variation and driving mechanisms of vegetation net primary productivity in Hunan Province from 2001 to 2023 Science of Remote Sensing Vegetation net primary productivity Spatiotemporal variation Influencing factors Hunan province Climate lag effect |
| title | Spatiotemporal variation and driving mechanisms of vegetation net primary productivity in Hunan Province from 2001 to 2023 |
| title_full | Spatiotemporal variation and driving mechanisms of vegetation net primary productivity in Hunan Province from 2001 to 2023 |
| title_fullStr | Spatiotemporal variation and driving mechanisms of vegetation net primary productivity in Hunan Province from 2001 to 2023 |
| title_full_unstemmed | Spatiotemporal variation and driving mechanisms of vegetation net primary productivity in Hunan Province from 2001 to 2023 |
| title_short | Spatiotemporal variation and driving mechanisms of vegetation net primary productivity in Hunan Province from 2001 to 2023 |
| title_sort | spatiotemporal variation and driving mechanisms of vegetation net primary productivity in hunan province from 2001 to 2023 |
| topic | Vegetation net primary productivity Spatiotemporal variation Influencing factors Hunan province Climate lag effect |
| url | http://www.sciencedirect.com/science/article/pii/S2666017225000756 |
| work_keys_str_mv | AT xiangyuyin spatiotemporalvariationanddrivingmechanismsofvegetationnetprimaryproductivityinhunanprovincefrom2001to2023 AT dancao spatiotemporalvariationanddrivingmechanismsofvegetationnetprimaryproductivityinhunanprovincefrom2001to2023 |