基于核温度植被干旱指数的内蒙古植被生长季生态干旱监测

doi:10.13287/j.1001-9332.202311.024

应用生态学报 ›› 2023, Vol. 34 ›› Issue (11): 2929-2937.doi: 10.13287/j.1001-9332.202311.024

基于核温度植被干旱指数的内蒙古植被生长季生态干旱监测

赵家培^1,2, 郭恩亮^1,2*, 王永芳^1,2,3, 康尧^1,2, 顾锡羚^1,2

¹内蒙古师范大学地理科学学院, 呼和浩特 010022;
²内蒙古自治区蒙古高原灾害与生态安全重点实验室, 呼和浩特 010022;
³蒙古高原气候变化与区域响应高校重点实验室, 呼和浩特 010022

收稿日期:2023-07-19 修回日期:2023-09-21 出版日期:2023-11-15 发布日期:2024-05-15
通讯作者: *E-mail: guoel1988@imnu.edu.cn
作者简介:赵家培, 男, 1998年生, 硕士研究生。主要从事生态干旱遥感监测研究。E-mail: zhaojiapei981014@163.com
基金资助:
国家自然科学基金地区项目(42261019)、内蒙古师范大学基本科研业务费专项资金(2022JBBJ016,2022JBQN092)和内蒙古自治区高等学校“青年科技英才支持计划”项目(NJYT22028)

Ecological drought monitoring of Inner Mongolia vegetation growing season based on kernel temperature vegetation drought index (kTVDI).

ZHAO Jiapei^1,2, GUO Enliang^1,2*, WANG Yongfang^1,2,3, KANG Yao^1,2, GU Xiling^1,2

¹College of Geographical Science, Inner Mongolia Normal University, Hohhot 010022, China;
²Inner Mongolia Key Laboratory of Disaster and Ecological Security on the Mongolian Plateau, Hohhot 010022, China;
³Provincial Key Laboratory of Mongolian Plateau’s Climate System, Hohhot 010022, China

Received:2023-07-19 Revised:2023-09-21 Online:2023-11-15 Published:2024-05-15

摘要/Abstract

摘要： 生态干旱监测对区域生态系统水资源状况评估和保护十分重要。本研究以内蒙古为研究区,使用核归一化植被指数(kNDVI)改进温度植被干旱指数(TVDI),构建了一种新的生态干旱指数——核温度植被干旱指数(kTVDI),基于此,利用分段线性回归模型、Sen趋势分析(Theil-Sen median)、曼-肯德尔检验(Mann-Kendall)和赫斯特指数(Hurst)等方法分析2000—2022年间内蒙古生态干旱的时空分布特征和未来变化趋势。结果表明: 相较于TVDI, kTVDI的生态干旱监测能力更强;2000—2022年间,内蒙古植被生长季kTVDI呈下降趋势,但变化不显著,在2016年发生突变,突变后的湿润趋势更为明显;研究期间,内蒙古23.6%地区的生态干旱呈加剧趋势,46.5%地区的生态干旱缓解;未来,生态干旱在内蒙古东部地区存在加剧、在中西部地区存在缓解的可能。

关键词: 核温度植被干旱指数, 生态干旱, MODIS, 内蒙古

Abstract: Ecological drought monitoring is important for regional status assessment and protection of water resources. In this study, we constructed a new ecological drought index, the kernel temperature vegetation drought index (kTVDI), by using the kernel normalized vegetation index (kNDVI) to improve the temperature vegetation drought index (TVDI) in Inner Mongolia. We further analyzed the spatial and temporal distribution of ecological drought in Inner Mongolia during 2000-2022 and the future trend of ecological drought by using segmented linear regression model, Theil-Sen median, Mann-Kendall test, and Hurst index. The results showed that kTVDI performed better in monitoring ecological drought than TVDI. From 2000 to 2022, kTVDI showed a decreasing trend in the growing season in Inner Mongolia, but the change was not significant, and a sudden change occurred in 2016, and the wetting trend after the sudden change was more obvious. During the study period, ecological drought in 23.6% of the areas of Inner Mongolia showed an aggravating trend, and ecological drought was alleviated in 46.5% of the area. In the future, ecological drought would be exacerbated in the eastern part but alleviated in the central and western parts of Inner Mongolia.

Key words: kernel temperature vegetation drought index (kTVDI), ecological drought, MODIS, Inner Mongolia

赵家培, 郭恩亮, 王永芳, 康尧, 顾锡羚. 基于核温度植被干旱指数的内蒙古植被生长季生态干旱监测[J]. 应用生态学报, 2023, 34(11): 2929-2937.

ZHAO Jiapei, GUO Enliang, WANG Yongfang, KANG Yao, GU Xiling. Ecological drought monitoring of Inner Mongolia vegetation growing season based on kernel temperature vegetation drought index (kTVDI).[J]. Chinese Journal of Applied Ecology, 2023, 34(11): 2929-2937.

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基于核温度植被干旱指数的内蒙古植被生长季生态干旱监测

Ecological drought monitoring of Inner Mongolia vegetation growing season based on kernel temperature vegetation drought index (kTVDI).

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