Spatiotemporal Evolution of NPP and Its Influencing Factors in Kunming City Based on the OPGD Model

[Objective] Clarifying the changes in net primary productivity (NPP) and the driving factors is of great significance to measure the carbon sequestration capacity of vegetation and support carbon sink trading. [Methods] Net primary productivity data were obtained based on MODIS-NPP data, and combini...

Full description

Saved in:
Bibliographic Details
Main Authors: ZHANG Zhongzhi, ZHAO Junsan, CHEN Guoping, WANG Lin, LIN Yilin, ZHANG Dandan
Format: Article
Language:zho
Published: Editorial Department of Journal of Soil and Water Conservation 2025-04-01
Series:Shuitu Baochi Xuebao
Subjects:
Online Access:http://stbcxb.alljournal.com.cn/stbcxben/article/abstract/20250231
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1850171258071678976
author ZHANG Zhongzhi
ZHAO Junsan
CHEN Guoping
WANG Lin
LIN Yilin
ZHANG Dandan
author_facet ZHANG Zhongzhi
ZHAO Junsan
CHEN Guoping
WANG Lin
LIN Yilin
ZHANG Dandan
author_sort ZHANG Zhongzhi
collection DOAJ
description [Objective] Clarifying the changes in net primary productivity (NPP) and the driving factors is of great significance to measure the carbon sequestration capacity of vegetation and support carbon sink trading. [Methods] Net primary productivity data were obtained based on MODIS-NPP data, and combining the Theil-Sen Median trend analysis, Mann-Kendall test, and the characteristics of spatiotemporal variation of NPP in Kunming from 2001 to 2020 were revealed. The optimal parameters-based geographical detectors (OPGD) model was adopted to explore the fluencing mechanisms of climate, topography and anthropogenic factors on NPP. [Results] 1) The annual mean distribution of vegetation NPP in Kunming City was spatially and temporally heterogeneous, with a distribution pattern higher in the west and lower in the east, and increased significantly at an average annual growth rate of 7.08 g/(m2·a) (C-based). 2) The fragmentation degree of the vegetation landscape increased; the fragmentation degree was mismatched with vegetation NPP in terms of space, and it had a significant negative effect on the spatial and temporal distribution of vegetation NPP. 3) Changes in vegetation NPP were the result of the combined effects of climatic, anthropogenic and topographic factors; the kernel Normalized Difference Vegetation Index (kNDVI), land surface temperature, and vegetation landscape fragmentation had stronger explanatory power than factors such as temperature, precipitation, and slope; and the interactions between the factors better explained the spatial and temporal changes in vegetation NPP. [Conclusion] The vegetation NPP in Kunming showed an increasing trend from 2001 to 2020 in general. However, the ecological situation in certain areas of the main urban districts is not optimistic. In the future, comprehensive planning should be implemented to scientifically promote the coordinated development of ecological protection and social economy.
format Article
id doaj-art-bea1a431094c4aa2aa542c60208f53f1
institution OA Journals
issn 1009-2242
language zho
publishDate 2025-04-01
publisher Editorial Department of Journal of Soil and Water Conservation
record_format Article
series Shuitu Baochi Xuebao
spelling doaj-art-bea1a431094c4aa2aa542c60208f53f12025-08-20T02:20:18ZzhoEditorial Department of Journal of Soil and Water ConservationShuitu Baochi Xuebao1009-22422025-04-0139229830810.13870/j.cnki.stbcxb.2025.02.0241009-2242(2025)02-0298-11Spatiotemporal Evolution of NPP and Its Influencing Factors in Kunming City Based on the OPGD ModelZHANG Zhongzhi0ZHAO Junsan1CHEN Guoping2WANG Lin3LIN Yilin4ZHANG Dandan5Faculty of Land Resources Engineering, Kunming University of Science and Technology, Kunming 650093, ChinaFaculty of Land Resources Engineering, Kunming University of Science and Technology, Kunming 650093, ChinaFaculty of Land Resources Engineering, Kunming University of Science and Technology, Kunming 650093, ChinaFaculty of Land Resources Engineering, Kunming University of Science and Technology, Kunming 650093, ChinaFaculty of Land Resources Engineering, Kunming University of Science and Technology, Kunming 650093, ChinaFaculty of Land Resources Engineering, Kunming University of Science and Technology, Kunming 650093, China[Objective] Clarifying the changes in net primary productivity (NPP) and the driving factors is of great significance to measure the carbon sequestration capacity of vegetation and support carbon sink trading. [Methods] Net primary productivity data were obtained based on MODIS-NPP data, and combining the Theil-Sen Median trend analysis, Mann-Kendall test, and the characteristics of spatiotemporal variation of NPP in Kunming from 2001 to 2020 were revealed. The optimal parameters-based geographical detectors (OPGD) model was adopted to explore the fluencing mechanisms of climate, topography and anthropogenic factors on NPP. [Results] 1) The annual mean distribution of vegetation NPP in Kunming City was spatially and temporally heterogeneous, with a distribution pattern higher in the west and lower in the east, and increased significantly at an average annual growth rate of 7.08 g/(m2·a) (C-based). 2) The fragmentation degree of the vegetation landscape increased; the fragmentation degree was mismatched with vegetation NPP in terms of space, and it had a significant negative effect on the spatial and temporal distribution of vegetation NPP. 3) Changes in vegetation NPP were the result of the combined effects of climatic, anthropogenic and topographic factors; the kernel Normalized Difference Vegetation Index (kNDVI), land surface temperature, and vegetation landscape fragmentation had stronger explanatory power than factors such as temperature, precipitation, and slope; and the interactions between the factors better explained the spatial and temporal changes in vegetation NPP. [Conclusion] The vegetation NPP in Kunming showed an increasing trend from 2001 to 2020 in general. However, the ecological situation in certain areas of the main urban districts is not optimistic. In the future, comprehensive planning should be implemented to scientifically promote the coordinated development of ecological protection and social economy.http://stbcxb.alljournal.com.cn/stbcxben/article/abstract/20250231net primary productivity of vegetationoptimal parameters-based geographical detectors model (opgd)bivariate spatial autocorrelationkernel normalized difference vegetation index (kndvi)kunming city
spellingShingle ZHANG Zhongzhi
ZHAO Junsan
CHEN Guoping
WANG Lin
LIN Yilin
ZHANG Dandan
Spatiotemporal Evolution of NPP and Its Influencing Factors in Kunming City Based on the OPGD Model
Shuitu Baochi Xuebao
net primary productivity of vegetation
optimal parameters-based geographical detectors model (opgd)
bivariate spatial autocorrelation
kernel normalized difference vegetation index (kndvi)
kunming city
title Spatiotemporal Evolution of NPP and Its Influencing Factors in Kunming City Based on the OPGD Model
title_full Spatiotemporal Evolution of NPP and Its Influencing Factors in Kunming City Based on the OPGD Model
title_fullStr Spatiotemporal Evolution of NPP and Its Influencing Factors in Kunming City Based on the OPGD Model
title_full_unstemmed Spatiotemporal Evolution of NPP and Its Influencing Factors in Kunming City Based on the OPGD Model
title_short Spatiotemporal Evolution of NPP and Its Influencing Factors in Kunming City Based on the OPGD Model
title_sort spatiotemporal evolution of npp and its influencing factors in kunming city based on the opgd model
topic net primary productivity of vegetation
optimal parameters-based geographical detectors model (opgd)
bivariate spatial autocorrelation
kernel normalized difference vegetation index (kndvi)
kunming city
url http://stbcxb.alljournal.com.cn/stbcxben/article/abstract/20250231
work_keys_str_mv AT zhangzhongzhi spatiotemporalevolutionofnppanditsinfluencingfactorsinkunmingcitybasedontheopgdmodel
AT zhaojunsan spatiotemporalevolutionofnppanditsinfluencingfactorsinkunmingcitybasedontheopgdmodel
AT chenguoping spatiotemporalevolutionofnppanditsinfluencingfactorsinkunmingcitybasedontheopgdmodel
AT wanglin spatiotemporalevolutionofnppanditsinfluencingfactorsinkunmingcitybasedontheopgdmodel
AT linyilin spatiotemporalevolutionofnppanditsinfluencingfactorsinkunmingcitybasedontheopgdmodel
AT zhangdandan spatiotemporalevolutionofnppanditsinfluencingfactorsinkunmingcitybasedontheopgdmodel