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Grassland quality response to climate change in Xinjiang and predicted future trends北大核心CSCD
引用本文:陈宸,井长青,赵苇康,许玉凤. Grassland quality response to climate change in Xinjiang and predicted future trends北大核心CSCD[J]. 草业学报, 2022, 31(12): 1-16. DOI: 10.11686/cyxb2021458
作者姓名:陈宸  井长青  赵苇康  许玉凤
作者单位:1.新疆农业大学草业学院,新疆草地资源与生态重点实验室,西部干旱荒漠区草地资源与生态教育部重点实验室,新疆 乌鲁木齐 830052;2.黔南民族师范学院旅游与资源环境学院,贵州 都匀 558000
基金项目:国家自然科学基金(42161024);自治区重点实验室开放课题(2020D04037);贵州省科技计划项目(黔科合基础[2018]1145)
摘    要:Grassland is a major vegetation type in Xinjiang Province,and is an important component of carbon source-sink calculations. It is therefore important to ecological management decisions to understand the factors driving changes in grassland quality and likely future trends in those changes. We used geographic information maps to eliminate the interference of human activities and determine changes in grassland status and areas of stable grassland from 1980 to 2020,and analyzed changes in grassland quality and its response to climate change using data such as normalized vegetation index(NDVI),vegetation net primary productivity(NPP),and meteorological data,among others. We here estimate changes in grassland quality in Xinjiang and predict grassland quality changes from 2021 to 2040 using the Thornthwaite Memorial model and other models. We found that:1) The grassland quality in Xinjiang was generally increasing,with a statistically significant rate of ongoing increase. The grassland cover and quality in mountainous areas of Xinjiang was high,while that at the desert edge was low. 2)The main driving forces for grassland quality changes in Xinjiang are temperature and precipitation. The correlation between grassland quality and precipitation was positive. Temperatures exceeding a certain limit were found to inhibit grassland quality. Sensitivity to temperature and precipitation decline was found to be greater when vegetation cover was lower. 3)The grassland quality and its temporal and spatial changes in Xinjiang can be reflected by climatic productivity. The lower the grassland cover,the stronger was the link between grassland quality and climate factors. 4)Under currently predicted climate change scenarios,the quality of low-cover grassland will be improved in the future,while the quality of other categories will tend to decrease. This information on grassland quality in Xinjiang and its predicted future trends can assist in formulating ecological protection measures and in other ways,such as compilation of carbon stock inventories. © 2022 Editorial Office of Acta Prataculturae Sinica. All rights reserved.

关 键 词:草地质量  气象因子  模型预测  新疆
收稿时间:2021-12-10
修稿时间:2022-03-14

Grassland quality response to climate change in Xinjiang and predicted future trends
Chen CHEN,Chang-qing JING,Wei-kang ZHAO,Yu-feng XU. Grassland quality response to climate change in Xinjiang and predicted future trends[J]. Acta Prataculturae Sinica, 2022, 31(12): 1-16. DOI: 10.11686/cyxb2021458
Authors:Chen CHEN  Chang-qing JING  Wei-kang ZHAO  Yu-feng XU
Affiliation:1.Key Laboratory of Grassland Resources and Ecology of Western Arid Region,Ministry of Education,Xinjiang Key Laboratory of Grassland Resources and Ecology,College of Grassland Science,Xinjiang Agricultural University,Urumqi 830052,China;2.School of Tourism and Resources Environment,Qiannan Normal University for Nationalities,Duyun 558000,China
Abstract:Grassland is a major vegetation type in Xinjiang Province, and is an important component of carbon source-sink calculations. It is therefore important to ecological management decisions to understand the factors driving changes in grassland quality and likely future trends in those changes. We used geographic information maps to eliminate the interference of human activities and determine changes in grassland status and areas of stable grassland from 1980 to 2020, and analyzed changes in grassland quality and its response to climate change using data such as normalized vegetation index (NDVI), vegetation net primary productivity (NPP), and meteorological data, among others. We here estimate changes in grassland quality in Xinjiang and predict grassland quality changes from 2021 to 2040 using the Thornthwaite Memorial model and other models. We found that: 1) The grassland quality in Xinjiang was generally increasing, with a statistically significant rate of ongoing increase. The grassland cover and quality in mountainous areas of Xinjiang was high, while that at the desert edge was low. 2) The main driving forces for grassland quality changes in Xinjiang are temperature and precipitation. The correlation between grassland quality and precipitation was positive. Temperatures exceeding a certain limit were found to inhibit grassland quality. Sensitivity to temperature and precipitation decline was found to be greater when vegetation cover was lower. 3) The grassland quality and its temporal and spatial changes in Xinjiang can be reflected by climatic productivity. The lower the grassland cover, the stronger was the link between grassland quality and climate factors. 4) Under currently predicted climate change scenarios, the quality of low-cover grassland will be improved in the future, while the quality of other categories will tend to decrease. This information on grassland quality in Xinjiang and its predicted future trends can assist in formulating ecological protection measures and in other ways, such as compilation of carbon stock inventories.
Keywords:grassland quality  meteorological factors  model prediction  Xinjiang  
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