[1]QIAN Fangyan,LAN Anjun,FAN Zemeng,et al.Spatiotemporal Variation Characteristics and Influencing Factors of NPP in Guizhou Province from 2000 to 2020[J].Research of Soil and Water Conservation,2023,30(05):408-416,426.[doi:10.13869/j.cnki.rswc.2023.05.020.]
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Spatiotemporal Variation Characteristics and Influencing Factors of NPP in Guizhou Province from 2000 to 2020
Research of Soil and Water Conservation[ISSN 1005-3409/CN 61-1272/P] Volume:
30
Number of periods:
2023 05
Page number:
408-416,426
Column:
Public date:
2023-08-10
- Title:
- Spatiotemporal Variation Characteristics and Influencing Factors of NPP in Guizhou Province from 2000 to 2020
- CLC:
- Q948.1
- DOI:
- 10.13869/j.cnki.rswc.2023.05.020.
- Abstract:
- [Objective] How to quantitatively analyze the spatiotemporal variation characteristics and impact factors of net primary productivity(NPP)of vegetation in Guizhou Province using long-term remote sensing data is of typical significance in ecological quality assessment and monitoring in karst regions, and can provide scientific basis for research on carbon balance and ecological protection in this region. [Methods] Model methods such as Theil Sen trend analysis, Mann Kendall test, correlation analysis, and geographic detectors were utilized to quantitatively calculate and analyze the spatiotemporal evolution characteristics and impact factors of NPP in Guizhou Province based on MODIS NPP data from 2000 to 2020, as well as multi-source data such as DEM, temperature, precipitation, and population density. [Results] The spatial distribution of NPP in Guizhou Province showed a spatial heterogeneity characteristic of high level in the south central and southwest, and low level in the north and east. In the past 20 years, the overall NPP of Guizhou Province had shown a fluctuating upward trend, with growth areas mainly distributing in the west and southwest, decrease areas mainly distributing in the central and southeast. Temperature and precipitation had the most significant impact on NPP, with a positive correlation level of 85.27% and 63.35%, respectively. Warming up could promote NPP, while excessive precipitation could hinder NPP. [Conclusion] Single factor analysis showed that precipitation had the greatest impact on NPP, while the calculation of the interaction between any two factors showed that precipitation and temperature were the most influential interaction factors on NPP in Guizhou Province from 2000 to 2020.
- References:
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Last Update:
2023-08-10