Vegetation changes in response to climatic factors and human activities in Jilin Province, China, 2000-2019

Dynamic change in vegetation is an integral component of terrestrial ecosystems, which has become a significant research area in the current context of global climate warming. Jilin Province in northeast China is an ecologically fragile area, and there is an urgent need to understand its vegetation...

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Main Authors: Li, Ying, Zhao, Zhibo, Wang, Lingzhi, Li, Guanghui, Chang, Lei, Li, Yuefen
Format: Article
Published: MDPI 2021
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Online Access:http://eprints.um.edu.my/28492/
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spelling my.um.eprints.284922022-08-15T01:44:13Z http://eprints.um.edu.my/28492/ Vegetation changes in response to climatic factors and human activities in Jilin Province, China, 2000-2019 Li, Ying Zhao, Zhibo Wang, Lingzhi Li, Guanghui Chang, Lei Li, Yuefen Q Science (General) T Technology (General) Dynamic change in vegetation is an integral component of terrestrial ecosystems, which has become a significant research area in the current context of global climate warming. Jilin Province in northeast China is an ecologically fragile area, and there is an urgent need to understand its vegetation changes and responses to both climatic factors and human activities. The normalized difference vegetation index (NDVI) was used to analyze trends in vegetation growth, and indicated significant growth overall. The NDVI of different vegetation cover types is increasing, indicating that the vegetation is continuously greening, and in descending order, the growth trends were grassland (0.0035/year) > permanent wetland (0.0028/year) > cropland (0.0027/year) > forest land (0.0022/year) > barren land (-0.0001/year). Grassland and cropland vegetation types included the most severely degraded areas, with fluctuating NDVI values. Precipitation was the main positive controlling climatic factor of NDVI in the western regions of the study area, while average temperature was the main factor in the eastern regions. Precipitation was the main climatic control factor for grassland and cropland, while forest land was limited by precipitation and average temperature. Barren land and permanent wetland were slightly negatively correlated with precipitation. From 2000 to 2019, the residual values for NDVI increased from -0.0121 to 0.0116, and the impact of human activities on vegetation changed from negative to positive. By 2019, the proportion of positively affected zones was as high as 94.01%, and the negatively affected zones were mainly distributed across transitional areas of cropland and grassland, and urban and built-up land and forest land. MDPI 2021-08 Article PeerReviewed Li, Ying and Zhao, Zhibo and Wang, Lingzhi and Li, Guanghui and Chang, Lei and Li, Yuefen (2021) Vegetation changes in response to climatic factors and human activities in Jilin Province, China, 2000-2019. Sustainability, 13 (16). ISSN 2071-1050, DOI https://doi.org/10.3390/su13168956 <https://doi.org/10.3390/su13168956>. 10.3390/su13168956
institution Universiti Malaya
building UM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaya
content_source UM Research Repository
url_provider http://eprints.um.edu.my/
topic Q Science (General)
T Technology (General)
spellingShingle Q Science (General)
T Technology (General)
Li, Ying
Zhao, Zhibo
Wang, Lingzhi
Li, Guanghui
Chang, Lei
Li, Yuefen
Vegetation changes in response to climatic factors and human activities in Jilin Province, China, 2000-2019
description Dynamic change in vegetation is an integral component of terrestrial ecosystems, which has become a significant research area in the current context of global climate warming. Jilin Province in northeast China is an ecologically fragile area, and there is an urgent need to understand its vegetation changes and responses to both climatic factors and human activities. The normalized difference vegetation index (NDVI) was used to analyze trends in vegetation growth, and indicated significant growth overall. The NDVI of different vegetation cover types is increasing, indicating that the vegetation is continuously greening, and in descending order, the growth trends were grassland (0.0035/year) > permanent wetland (0.0028/year) > cropland (0.0027/year) > forest land (0.0022/year) > barren land (-0.0001/year). Grassland and cropland vegetation types included the most severely degraded areas, with fluctuating NDVI values. Precipitation was the main positive controlling climatic factor of NDVI in the western regions of the study area, while average temperature was the main factor in the eastern regions. Precipitation was the main climatic control factor for grassland and cropland, while forest land was limited by precipitation and average temperature. Barren land and permanent wetland were slightly negatively correlated with precipitation. From 2000 to 2019, the residual values for NDVI increased from -0.0121 to 0.0116, and the impact of human activities on vegetation changed from negative to positive. By 2019, the proportion of positively affected zones was as high as 94.01%, and the negatively affected zones were mainly distributed across transitional areas of cropland and grassland, and urban and built-up land and forest land.
format Article
author Li, Ying
Zhao, Zhibo
Wang, Lingzhi
Li, Guanghui
Chang, Lei
Li, Yuefen
author_facet Li, Ying
Zhao, Zhibo
Wang, Lingzhi
Li, Guanghui
Chang, Lei
Li, Yuefen
author_sort Li, Ying
title Vegetation changes in response to climatic factors and human activities in Jilin Province, China, 2000-2019
title_short Vegetation changes in response to climatic factors and human activities in Jilin Province, China, 2000-2019
title_full Vegetation changes in response to climatic factors and human activities in Jilin Province, China, 2000-2019
title_fullStr Vegetation changes in response to climatic factors and human activities in Jilin Province, China, 2000-2019
title_full_unstemmed Vegetation changes in response to climatic factors and human activities in Jilin Province, China, 2000-2019
title_sort vegetation changes in response to climatic factors and human activities in jilin province, china, 2000-2019
publisher MDPI
publishDate 2021
url http://eprints.um.edu.my/28492/
_version_ 1744649119192842240
score 13.211869