The role of climatic factor timing on grassland net primary productivity in Altay, Xinjiang DOI Creative Commons
Bojian Chen,

Guli Jiapaer,

Yu Tao

et al.

Ecological Indicators, Journal Year: 2023, Volume and Issue: 157, P. 111243 - 111243

Published: Nov. 16, 2023

Grassland, as highly vulnerable ecosystem, requires a comprehensive understanding of its dynamics and response patterns to climate factors in change challenges. While previous research has primarily centered on the influence interannual variability grassland Net Primary Productivity (NPP), knowledge impacts seasonal or monthly variations annual net primary productivity (ANPP) remains limited. This study investigated climatic drivers NPP Xinjiang's Altay region from 2000 2022 using Carnegie-Ames-Stanford approach (CASA) model random forest regression model. The examined significance precipitation, solar radiation, temperature, soil moisture, snowmelt water at three temporal scales. results revealed following key findings: (1) Grassland declined significantly 2009 but showed gradual increase 2022. Spatially, higher values were observed northern lower southern region. (2) Precipitation was influential factor affecting NPP, followed by water. In determining timing ANPP, June played critical role particularly for while August essential radiation. Moreover, importance had bimodal distribution, with peaks April October. (3) exhibited diverse nonlinear spatial heterogeneity various different These findings highlight considering both magnitude local conditions, well when studying dynamic responses predicting future impacts. insights enhance comprehension intricate ecosystems predictions their change.

Language: Английский

Impacts of various soil moisture replenishment patterns on plant water use strategies in the Third Pole region DOI

Xiaoying Liu,

Zongxing Li, Zongjie Li

et al.

CATENA, Journal Year: 2025, Volume and Issue: 254, P. 108942 - 108942

Published: March 19, 2025

Language: Английский

Citations

0
The Spatial and Temporal Distribution of Rain‐On‐Snow Events and Their Driving Factors in China DOI
Yiran Li,

C. H. Luo,

Heng Lü

et al.

Hydrological Processes, Journal Year: 2025, Volume and Issue: 39(4)

Published: April 1, 2025

ABSTRACT Rain‐on‐snow (ROS) events are energy exchange phenomena produced by the joint action of rainfall and snow, which can trigger secondary disasters such as snowmelt floods avalanches. China has an extensive snow‐covered area, but research on ROS in country is limited to short time scales largely focused Northwest China. Using observation data snow depth, precipitation, temperature from 191 ground‐based meteorological stations, we analysed temporal spatial characteristics 1960 2013 revealed influencing factors In addition, also classified intensity explored The results show that days surface have increased significantly over past 53 years. mainly concentrated southeastern part Qinghai‐Tibet northern Xinjiang northeastern Northeast Inner Mongolia, transition zone between North South Of these areas, region highest occurrence, with a frequency up 3.0 days/year. increase most dramatic, average annual rate reaching 0.024 main factor impacting snowfall China, cover Xinjiang, region, predominantly low intensity, more extreme high‐intensity

Language: Английский

Citations

0
Heterogeneous impacts of climate change on streamflow in typical watersheds of three mountain systems in Xinjiang, Northwest China DOI
Chanjuan Zan, Yue Huang, Xiaohui Pan

et al.

International Journal of Applied Earth Observation and Geoinformation, Journal Year: 2025, Volume and Issue: 140, P. 104585 - 104585

Published: May 10, 2025

Language: Английский

Citations

0
Spatiotemporal characteristics of surface water resources in the Tibetan plateau: Based on the produce water coefficient method considering snowmelt DOI Creative Commons
Mengyu Li, Baisha Weng, Denghua Yan

et al.

The Science of The Total Environment, Journal Year: 2022, Volume and Issue: 851, P. 158048 - 158048

Published: Aug. 17, 2022

Language: Английский

Citations

16
The role of climatic factor timing on grassland net primary productivity in Altay, Xinjiang DOI Creative Commons
Bojian Chen,

Guli Jiapaer,

Yu Tao

et al.

Ecological Indicators, Journal Year: 2023, Volume and Issue: 157, P. 111243 - 111243

Published: Nov. 16, 2023

Grassland, as highly vulnerable ecosystem, requires a comprehensive understanding of its dynamics and response patterns to climate factors in change challenges. While previous research has primarily centered on the influence interannual variability grassland Net Primary Productivity (NPP), knowledge impacts seasonal or monthly variations annual net primary productivity (ANPP) remains limited. This study investigated climatic drivers NPP Xinjiang's Altay region from 2000 2022 using Carnegie-Ames-Stanford approach (CASA) model random forest regression model. The examined significance precipitation, solar radiation, temperature, soil moisture, snowmelt water at three temporal scales. results revealed following key findings: (1) Grassland declined significantly 2009 but showed gradual increase 2022. Spatially, higher values were observed northern lower southern region. (2) Precipitation was influential factor affecting NPP, followed by water. In determining timing ANPP, June played critical role particularly for while August essential radiation. Moreover, importance had bimodal distribution, with peaks April October. (3) exhibited diverse nonlinear spatial heterogeneity various different These findings highlight considering both magnitude local conditions, well when studying dynamic responses predicting future impacts. insights enhance comprehension intricate ecosystems predictions their change.

Language: Английский

Citations

7