Analysis of Spatiotemporal Evolution Characteristics and Driving Factors of NPP in Guizhou Province, China

Karst ecosystems are ecologically fragile and highly sensitive to climate change. This study explored the spatiotemporal changes and driving mechanisms of net primary productivity (NPP) in Guizhou Province, a typical karst region in Southwest China, from 2000 to 2020. By integrating multisource geospatial datasets, we employed comprehensive spatiotemporal analytical methods including Sen + Mann-Kendall trend analysis, Hurst index, and coefficient of variation, complemented by correlation analysis and the geographic detector modeling. Key findings reveal: (1) A significant upward trend in NPP with an interannual variation of 3.65 g C m<sup>-2</sup> a<sup>-1</sup> and a multiyear average of 785.47 g C m<sup>-2</sup> a<sup>-1</sup>; (2) Distinct spatial heterogeneity showing southern high-value zones contrasting with lower values in northern, eastern, and western regions, with 45.76% of areas demonstrating significant positive NPP trends; the overall volatility is stable; (3) Driving mechanism analysis identifies precipitation, soil moisture, and population density as dominant factors, with anthropogenic influences exhibiting increasing temporal dominance.

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Publication Details

Journal
Ecology and Evolution
Published
2025-10-01
DOI
https://doi.org/10.1002/ece3.72231
Citations
1
Primary Topic
Karst Systems and Hydrogeology
Type
article
Field-Weighted Citation Impact
1.67
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article

Analysis of Spatiotemporal Evolution Characteristics and Driving Factors of NPP in Guizhou Province, China

Han Fan, Bo Xie, Mingming Zhang, Yi Liu
1 citations
Ecology and Evolution
Karst Systems and Hydrogeology
1.67
article

Analysis of Spatiotemporal Evolution Characteristics and Driving Factors of NPP in Guizhou Province, China

Han Fan, Bo Xie, Mingming Zhang, Yi Liu
article en
1 citations

Abstract

Karst ecosystems are ecologically fragile and highly sensitive to climate change. This study explored the spatiotemporal changes and driving mechanisms of net primary productivity (NPP) in Guizhou Province, a typical karst region in Southwest China, from 2000 to 2020. By integrating multisource geospatial datasets, we employed comprehensive spatiotemporal analytical methods including Sen + Mann-Kendall trend analysis, Hurst index, and coefficient of variation, complemented by correlation analysis and the geographic detector modeling. Key findings reveal: (1) A significant upward trend in NPP with an interannual variation of 3.65 g C m<sup>-2</sup> a<sup>-1</sup> and a multiyear average of 785.47 g C m<sup>-2</sup> a<sup>-1</sup>; (2) Distinct spatial heterogeneity showing southern high-value zones contrasting with lower values in northern, eastern, and western regions, with 45.76% of areas demonstrating significant positive NPP trends; the overall volatility is stable; (3) Driving mechanism analysis identifies precipitation, soil moisture, and population density as dominant factors, with anthropogenic influences exhibiting increasing temporal dominance.

Ecology and EvolutionVol. 15(10)
Guizhou University (CN), Social Welfare Department (HK)
Openalex Percentile: Top 14%
Karst Systems and Hydrogeology
1.67
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