2001—2020年青藏高原草地NDVI时空变化及驱动因子分析

doi:10.11733/j.issn.1007-0435.2022.07.030

草地学报 ›› 2022, Vol. 30 ›› Issue (7): 1873-1881.DOI: 10.11733/j.issn.1007-0435.2022.07.030

• 研究论文 • 上一篇

2001—2020年青藏高原草地NDVI时空变化及驱动因子分析

吉珍霞¹, 裴婷婷^1,2, 陈英^1,2, 侯青青³, 谢保鹏², 吴华武^4,5

1. 甘肃农业大学资源与环境学院, 甘肃兰州 730070;
2. 甘肃农业大学管理学院, 甘肃兰州 730070;
3. 甘肃农业大学草业学院, 甘肃兰州 730070;
4. 草业生态系统教育部重点实验室(甘肃农业大学), 甘肃兰州 730070;
5. 中国科学院南京地理与湖泊研究所, 江苏南京 210008

收稿日期:2021-11-12 修回日期:2022-02-20 发布日期:2022-08-02
通讯作者: 裴婷婷,E-mail:825629198@qq.com
作者简介:吉珍霞(1996-)，女，汉族，甘肃定西人，硕士研究生，主要从事生态遥感研究，E-mail:986164054@qq.com
基金资助:
甘肃省青年科技基金计划项目(21 JR7RA853)；甘肃省高校创新基金项目(2020B-117)；甘肃农业大学公招博士科研启动基金(GAU-KYQD-2017-35)资助

Spatial-Temporal Variation and Driving Factors of Grassland NDVI in the Qinghai-Tibet Plateau from 2001 to 2020

JI Zhen-xia¹, PEI Ting-ting^1,2, CHEN Ying^1,2, HOU Qing-qing³, XIE Bao-peng², WU Hua-wu^4,5

1. College of Resources and Environment, Gansu Agricultural University, Lanzhou, Gansu Province 730070, China;
2. College of Management, Gansu Agricultural University, Lanzhou, Gansu Province 730070, China;
3. College of Pratacultural Science, Gansu Agricultural University, Lanzhou, Gansu Province 730070, China;
4. Key Laboratory of Grassland Ecosystem (Gansu Agricultural University), Ministry of Education, Lanzhou, Gansu Province 730070, China;
5. Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing, Jiangsu Province 210008, China

Received:2021-11-12 Revised:2022-02-20 Published:2022-08-02

摘要/Abstract

摘要： 环境变化引起的植被变化对生态系统过程产生了重大影响。然而，目前对植被生长及其对多影响因素响应的研究仍不够深入。本文采用Theil-Sen中位数趋势分析、Mann-Kendall检验、变异系数、岭回归分析和结构方程模型等方法，探究了青藏高原草地归一化差值植被指数(Normalized difference vegetation index，NDVI)时空变化特征及其对驱动因子的响应。结果表明：青藏高原2001—2020年草地NDVI从东南向西北呈下降趋势，年际变化呈上升趋势，坡度较小区域的草地分布较集中，阴坡草地生长情况较好。另外，区域内草地受水分利用效率(Water use efficiency，WUE)升高和温度升高而生长情况变好，且草地WUE是影响草地NDVI变化的主导因子。本研究提高了我们对多变量如何共同影响草地生长的认知，也强调了WUE对草地生长的重要性。

关键词: 草地NDVI, 岭回归分析, 结构方程模型, 青藏高原

Abstract: Vegetation change caused by environmental change has a significant impact on ecosystem processes. However,the research on vegetation growth and its response to multiple related control factors is still insufficient. This paper explored spatial-temporal variation and driving factors of grassland Normalized Difference Vegetation Index (NDVI) using Theil-Sen median trend analysis,Mann-Kendall test,coefficient of variation,ridge regression analysis and structural equation model. The results showed that from 2001 to 2020,the spatial variation of grassland Normalized Difference Vegetation Index (NDVI) gradually decreased from southeast to northwest in the Qinghai-Tibet Plateau (QTP),the interannual variation showed an upward trend,the distribution of grassland was more concentrated in the area with smaller slope,and the growth of shady slope grassland was better. In the region,grassland growth improved due to the increase of water use efficiency (WUE) and temperature,and the grassland WUE was the main factor affecting the change of grassland NDVI on the QTP. This study improved our understanding on how multiple variables worked together to influence grassland growth and highlighted the importance of WUE for vegetation growth.

Key words: Grassland NDVI, Ridge regression analysis, Structural equation model, The Qinghai-Tibet Plateau

中图分类号:

Q141

吉珍霞, 裴婷婷, 陈英, 侯青青, 谢保鹏, 吴华武. 2001—2020年青藏高原草地NDVI时空变化及驱动因子分析[J]. 草地学报, 2022, 30(7): 1873-1881.

JI Zhen-xia, PEI Ting-ting, CHEN Ying, HOU Qing-qing, XIE Bao-peng, WU Hua-wu. Spatial-Temporal Variation and Driving Factors of Grassland NDVI in the Qinghai-Tibet Plateau from 2001 to 2020[J]. Acta Agrestia Sinica, 2022, 30(7): 1873-1881.

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2001—2020年青藏高原草地NDVI时空变化及驱动因子分析

Spatial-Temporal Variation and Driving Factors of Grassland NDVI in the Qinghai-Tibet Plateau from 2001 to 2020

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