Analysis of the spatiotemporal dynamics of natural grassland productivity and its influencing factors in the Ili River Basin of Xinjiang over the past 23 years

ObjectivesGrassland net primary productivity (NPP) in the Ili River Basin Grasslands, as Earth's largest terrestrial ecosystem, are crucial for global carbon cycling and ecological stability. Clarifying the spatiotemporal patterns and driving factors of grassland NPP is key to optimizing conservation strategies and enhancing productivity.MethodsUsing MODIS data (2000-2022) and the CASA model, this study estimated grassland NPP in the Ili River Basin, and explored its dynamic characteristics and responses to climate and human activities through trend analysis, correlation analysis, and the Hurst index.Results(1) NPP increased annually by 0.14% from 2000 to 2020, but decreased by 15.4% from 2020 to 2022, with an overall 12.95% decline over 23 years; extreme climates in 2008, 2014, and 2021 caused NPP to drop by 27.24%, 28.01%, and 21.31%, respectively, compared to the previous years. (2) High-NPP areas were concentrated in eastern mountainous regions (Nileke, Zhaosu, Tekes, etc.), while low-NPP areas were distributed in central urban zones and high-altitude regions, showing an "east-high-west-low" pattern. (3) Temperature was the main climatic driver (affecting 91,253 km²); human activities led to NPP decline in 55.94% of the area (far exceeding the 2.81% where NPP increased). (4) The Hurst index projected that 79.5% of the area would shift from decline to increase, 8% would continue to decline, and 9.81% would reverse from increase to decline.ConclusionsNPP showed a downward trend from 2000 to 2022 but is expected to rise significantly in the future, providing references for conservation efforts.

Authors

Institutions

Publication Details

Journal
Science Progress
Published
2025-10-01
DOI
https://doi.org/10.1177/00368504251397434
Primary Topic
Remote Sensing in Agriculture
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Analysis of the spatiotemporal dynamics of natural grassland productivity and its influencing factors in the Ili River Basin of Xinjiang over the past 23 years

Minyi Wang, Xinqiao Li, Zhichao Hu, Yingjuan Ma et al.
Science Progress
Remote Sensing in Agriculture
article

Analysis of the spatiotemporal dynamics of natural grassland productivity and its influencing factors in the Ili River Basin of Xinjiang over the past 23 years

Minyi Wang, Xinqiao Li, Zhichao Hu, Yingjuan Ma, Xiuzhi Ma, S. T. Lin, C. Zhang
article en

Abstract

ObjectivesGrassland net primary productivity (NPP) in the Ili River Basin Grasslands, as Earth's largest terrestrial ecosystem, are crucial for global carbon cycling and ecological stability. Clarifying the spatiotemporal patterns and driving factors of grassland NPP is key to optimizing conservation strategies and enhancing productivity.MethodsUsing MODIS data (2000-2022) and the CASA model, this study estimated grassland NPP in the Ili River Basin, and explored its dynamic characteristics and responses to climate and human activities through trend analysis, correlation analysis, and the Hurst index.Results(1) NPP increased annually by 0.14% from 2000 to 2020, but decreased by 15.4% from 2020 to 2022, with an overall 12.95% decline over 23 years; extreme climates in 2008, 2014, and 2021 caused NPP to drop by 27.24%, 28.01%, and 21.31%, respectively, compared to the previous years. (2) High-NPP areas were concentrated in eastern mountainous regions (Nileke, Zhaosu, Tekes, etc.), while low-NPP areas were distributed in central urban zones and high-altitude regions, showing an "east-high-west-low" pattern. (3) Temperature was the main climatic driver (affecting 91,253 km²); human activities led to NPP decline in 55.94% of the area (far exceeding the 2.81% where NPP increased). (4) The Hurst index projected that 79.5% of the area would shift from decline to increase, 8% would continue to decline, and 9.81% would reverse from increase to decline.ConclusionsNPP showed a downward trend from 2000 to 2022 but is expected to rise significantly in the future, providing references for conservation efforts.

Science ProgressVol. 108(4)
Inner Mongolia Agricultural University (CN), Inner Mongolia Autonomous Region Meteorological Bureau (CN)
Openalex Percentile: Top 66%
Remote Sensing in Agriculture
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.