Impact of Extreme Climate on the NDVI of Different Steppe Areas in Inner Mongolia, China

The frequency of extreme climate events has increased resulting in major changes to vegetation in arid and semi-arid areas. We selected 12 extreme climate indices and used trend analysis and multiple linear regression models to analyze extreme climate trends in steppe areas of Inner Mongolia and the...

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Main Authors: Kuan Chen, Genbatu Ge, Gang Bao, Liga Bai, Siqin Tong, Yuhai Bao, Luomeng Chao
Format: Article
Language:English
Published: MDPI AG 2022-03-01
Series:Remote Sensing
Subjects:
Online Access:https://www.mdpi.com/2072-4292/14/7/1530
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author Kuan Chen
Genbatu Ge
Gang Bao
Liga Bai
Siqin Tong
Yuhai Bao
Luomeng Chao
author_facet Kuan Chen
Genbatu Ge
Gang Bao
Liga Bai
Siqin Tong
Yuhai Bao
Luomeng Chao
author_sort Kuan Chen
collection DOAJ
description The frequency of extreme climate events has increased resulting in major changes to vegetation in arid and semi-arid areas. We selected 12 extreme climate indices and used trend analysis and multiple linear regression models to analyze extreme climate trends in steppe areas of Inner Mongolia and their impact on the normalized difference vegetation index (NDVI). From 1998 to 2017, the NDVI of the Inner Mongolia steppe increased overall; however, there was a small area of decrease. Extreme climate indices related to warming exhibited increasing trends, particularly in the desert steppe. Although the extreme precipitation index did not change significantly overall, it increased in the northeastern and southwestern regions of the study area and decreased in the central region. The established model showed that the extreme climate explained the highest NDVI variation in desert steppe (R<sup>2</sup> = 0.413), followed by typical steppe (R<sup>2</sup> = 0.229), and meadow steppe (R<sup>2</sup> = 0.109). In desert steppe, TX90P (warm days index) had the greatest impact; in typical steppe, R10 (number of heavy precipitation days index) had the greatest impact; in meadow steppe, R95P (very wet days index) had the greatest impact. This study offered new insights into dynamic vegetation changes in steppe areas of Inner Mongolia and provided a scientific basis for implementing environmental protection strategies.
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spelling doaj.art-d4608543857a4da6a23aaf1fb98eb5832023-11-30T23:55:18ZengMDPI AGRemote Sensing2072-42922022-03-01147153010.3390/rs14071530Impact of Extreme Climate on the NDVI of Different Steppe Areas in Inner Mongolia, ChinaKuan Chen0Genbatu Ge1Gang Bao2Liga Bai3Siqin Tong4Yuhai Bao5Luomeng Chao6Ministry of Education Key Laboratory of Ecology and Resource Use of the Mongolian Plateau, School of Ecology and Environment, Inner Mongolia University, Hohhot 010021, ChinaExperimental Center for Desert Forestry, Chinese Academy of Forestry, Dengkou 015200, ChinaCollege of Geography, Inner Mongolia Normal University, Hohhot 010022, ChinaCollege of Geography, Inner Mongolia Normal University, Hohhot 010022, ChinaCollege of Geography, Inner Mongolia Normal University, Hohhot 010022, ChinaCollege of Geography, Inner Mongolia Normal University, Hohhot 010022, ChinaMinistry of Education Key Laboratory of Ecology and Resource Use of the Mongolian Plateau, School of Ecology and Environment, Inner Mongolia University, Hohhot 010021, ChinaThe frequency of extreme climate events has increased resulting in major changes to vegetation in arid and semi-arid areas. We selected 12 extreme climate indices and used trend analysis and multiple linear regression models to analyze extreme climate trends in steppe areas of Inner Mongolia and their impact on the normalized difference vegetation index (NDVI). From 1998 to 2017, the NDVI of the Inner Mongolia steppe increased overall; however, there was a small area of decrease. Extreme climate indices related to warming exhibited increasing trends, particularly in the desert steppe. Although the extreme precipitation index did not change significantly overall, it increased in the northeastern and southwestern regions of the study area and decreased in the central region. The established model showed that the extreme climate explained the highest NDVI variation in desert steppe (R<sup>2</sup> = 0.413), followed by typical steppe (R<sup>2</sup> = 0.229), and meadow steppe (R<sup>2</sup> = 0.109). In desert steppe, TX90P (warm days index) had the greatest impact; in typical steppe, R10 (number of heavy precipitation days index) had the greatest impact; in meadow steppe, R95P (very wet days index) had the greatest impact. This study offered new insights into dynamic vegetation changes in steppe areas of Inner Mongolia and provided a scientific basis for implementing environmental protection strategies.https://www.mdpi.com/2072-4292/14/7/1530extreme climateNDVIdesert steppetypical steppemeadow steppeInner Mongolia
spellingShingle Kuan Chen
Genbatu Ge
Gang Bao
Liga Bai
Siqin Tong
Yuhai Bao
Luomeng Chao
Impact of Extreme Climate on the NDVI of Different Steppe Areas in Inner Mongolia, China
Remote Sensing
extreme climate
NDVI
desert steppe
typical steppe
meadow steppe
Inner Mongolia
title Impact of Extreme Climate on the NDVI of Different Steppe Areas in Inner Mongolia, China
title_full Impact of Extreme Climate on the NDVI of Different Steppe Areas in Inner Mongolia, China
title_fullStr Impact of Extreme Climate on the NDVI of Different Steppe Areas in Inner Mongolia, China
title_full_unstemmed Impact of Extreme Climate on the NDVI of Different Steppe Areas in Inner Mongolia, China
title_short Impact of Extreme Climate on the NDVI of Different Steppe Areas in Inner Mongolia, China
title_sort impact of extreme climate on the ndvi of different steppe areas in inner mongolia china
topic extreme climate
NDVI
desert steppe
typical steppe
meadow steppe
Inner Mongolia
url https://www.mdpi.com/2072-4292/14/7/1530
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