Dynamic Analysis and Risk Assessment of Vegetation Net Primary Productivity in Xinjiang, China

Vegetation net primary productivity (NPP) is a key indicator for assessing vegetation dynamics and carbon cycle balance. Xinjiang is located in an arid and ecologically fragile region in northwest China, but the current understanding of vegetation dynamics in the region is still limited. This study aims to analyze Xinjiang’s NPP spatial and temporal trends, using random forest regression to quantify the extent to which climate change and human activities affect vegetation productivity. CMIP6 (Coupled Model Intercomparison Project Phase 6) climate scenario data help assess vegetation restoration potential and future risks. Our findings indicate that (1) Xinjiang’s NPP exhibits a significant increasing trend from 2001 to 2020, with three-quarters of the region experiencing an increase, 2.64% of the area showing significant decrease (p < 0.05), and the Ili River Basin showing a nonsignificant decreasing trend; (2) precipitation and radiation are major drivers of NPP variations, with contribution ratios of 35.13% and 30.17%, respectively; (3) noteworthy restoration potential exists on the Tian Shan northern slope and the Irtysh River Basin, where average restoration potentials surpass 80% relative to 2020, while the Ili River Basin has the highest future risk. This study explores the factors influencing the current vegetation dynamics in Xinjiang, aiming to provide references for vegetation restoration and future risk mitigation, thereby promoting sustainable ecological development in Xinjiang.

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Publication Details

Journal
Remote Sensing
Published
2024-09-27
DOI
https://doi.org/10.3390/rs16193604
Citations
2
Primary Topic
Plant Ecology and Soil Science
Type
article
Field-Weighted Citation Impact
0.92

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article

Dynamic Analysis and Risk Assessment of Vegetation Net Primary Productivity in Xinjiang, China

Siqing Zhao, Hao Li, Xiang Zhao, Yinkun Guo et al.
2 citations
Remote Sensing
Plant Ecology and Soil Science
0.92
article

Dynamic Analysis and Risk Assessment of Vegetation Net Primary Productivity in Xinjiang, China

Siqing Zhao, Hao Li, Xiang Zhao, Yinkun Guo, Wenjie Zhang, Wenxi Shi, Yutong Fang
article en
2 citations

Abstract

Vegetation net primary productivity (NPP) is a key indicator for assessing vegetation dynamics and carbon cycle balance. Xinjiang is located in an arid and ecologically fragile region in northwest China, but the current understanding of vegetation dynamics in the region is still limited. This study aims to analyze Xinjiang’s NPP spatial and temporal trends, using random forest regression to quantify the extent to which climate change and human activities affect vegetation productivity. CMIP6 (Coupled Model Intercomparison Project Phase 6) climate scenario data help assess vegetation restoration potential and future risks. Our findings indicate that (1) Xinjiang’s NPP exhibits a significant increasing trend from 2001 to 2020, with three-quarters of the region experiencing an increase, 2.64% of the area showing significant decrease (p < 0.05), and the Ili River Basin showing a nonsignificant decreasing trend; (2) precipitation and radiation are major drivers of NPP variations, with contribution ratios of 35.13% and 30.17%, respectively; (3) noteworthy restoration potential exists on the Tian Shan northern slope and the Irtysh River Basin, where average restoration potentials surpass 80% relative to 2020, while the Ili River Basin has the highest future risk. This study explores the factors influencing the current vegetation dynamics in Xinjiang, aiming to provide references for vegetation restoration and future risk mitigation, thereby promoting sustainable ecological development in Xinjiang.

Remote SensingVol. 16(19)
Beijing Normal University (CN), State Key Laboratory of Remote Sensing Science (CN)
Beijing Normal University, State Key Laboratory of Remote Sensing Science
Openalex Percentile: Top 22%
Plant Ecology and Soil Science
0.92
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