Cargando…

Vegetation dynamic analysis based on multisource remote sensing data in the east margin of the Qinghai-Tibet Plateau, China

This study focuses on the vegetation dynamic caused by global environmental change in the eastern margin of the Qinghai-Tibet Plateau (EMQTP). The Qinghai–Tibet Plateau (QTP) is one of the most sensitive areas responding to global environmental change, particularly global climate change, and has bee...

Descripción completa

Detalles Bibliográficos
Autores principales: Wang, Haijun, Peng, Peihao, Kong, Xiangdong, Zhang, Tingbin, Yi, Guihua
Formato: Online Artículo Texto
Lenguaje:English
Publicado: PeerJ Inc. 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6913281/
https://www.ncbi.nlm.nih.gov/pubmed/31844592
http://dx.doi.org/10.7717/peerj.8223
_version_ 1783479634158944256
author Wang, Haijun
Peng, Peihao
Kong, Xiangdong
Zhang, Tingbin
Yi, Guihua
author_facet Wang, Haijun
Peng, Peihao
Kong, Xiangdong
Zhang, Tingbin
Yi, Guihua
author_sort Wang, Haijun
collection PubMed
description This study focuses on the vegetation dynamic caused by global environmental change in the eastern margin of the Qinghai-Tibet Plateau (EMQTP). The Qinghai–Tibet Plateau (QTP) is one of the most sensitive areas responding to global environmental change, particularly global climate change, and has been recognized as a hotspot for coupled studies on changes in global terrestrial ecosystems and global climates. An important component of terrestrial ecosystems, vegetation dynamic has become a key issue in global environmental change, and numerous case studies have been conducted on vegetation dynamic trends using multi-source data and multi-scale methods across different study periods. The EMQTP is regarded as a transitional area located between the QTP and the Sichuan basin, and has special geographical and climatic conditions. Although this area is ecologically fragile and sensitive to climate change, few studies about vegetation dynamics have been carried out in this area. Thus, in this study, we used long-term series datasets of GIMMS 3g NDVI and VGT/PROBA-V NDVI to analyze the vegetation dynamics and phenological changes from 1982 to 2018. Validation was performed based on Landsat NDVI and Vegetation Index & Phenology (VIP) data. The results reveal that the year 1998 was a vital turning point in the start of growing season (SGS) in vegetation ecosystems. Before this turning point, the SGS had an average slope of 9.2 days/decade, and after, the average slope was 3.9 days/decade. The length of growing season (LGS) was slightly prolonged between 1982 to 2015. Additionally, the largest national alpine wetland grassland experienced significant vegetation degradation; in autumn, the degraded area accounted for 63.4%. Vegetation degradation had also appeared in the arid valleys of the Yalong River and the Jinsha River. Through validation analysis, we found that the main causes of vegetation degradation are the natural degradation of wetland grassland and human activities, specifically agricultural development and residential area expansion.
format Online
Article
Text
id pubmed-6913281
institution National Center for Biotechnology Information
language English
publishDate 2019
publisher PeerJ Inc.
record_format MEDLINE/PubMed
spelling pubmed-69132812019-12-16 Vegetation dynamic analysis based on multisource remote sensing data in the east margin of the Qinghai-Tibet Plateau, China Wang, Haijun Peng, Peihao Kong, Xiangdong Zhang, Tingbin Yi, Guihua PeerJ Ecology This study focuses on the vegetation dynamic caused by global environmental change in the eastern margin of the Qinghai-Tibet Plateau (EMQTP). The Qinghai–Tibet Plateau (QTP) is one of the most sensitive areas responding to global environmental change, particularly global climate change, and has been recognized as a hotspot for coupled studies on changes in global terrestrial ecosystems and global climates. An important component of terrestrial ecosystems, vegetation dynamic has become a key issue in global environmental change, and numerous case studies have been conducted on vegetation dynamic trends using multi-source data and multi-scale methods across different study periods. The EMQTP is regarded as a transitional area located between the QTP and the Sichuan basin, and has special geographical and climatic conditions. Although this area is ecologically fragile and sensitive to climate change, few studies about vegetation dynamics have been carried out in this area. Thus, in this study, we used long-term series datasets of GIMMS 3g NDVI and VGT/PROBA-V NDVI to analyze the vegetation dynamics and phenological changes from 1982 to 2018. Validation was performed based on Landsat NDVI and Vegetation Index & Phenology (VIP) data. The results reveal that the year 1998 was a vital turning point in the start of growing season (SGS) in vegetation ecosystems. Before this turning point, the SGS had an average slope of 9.2 days/decade, and after, the average slope was 3.9 days/decade. The length of growing season (LGS) was slightly prolonged between 1982 to 2015. Additionally, the largest national alpine wetland grassland experienced significant vegetation degradation; in autumn, the degraded area accounted for 63.4%. Vegetation degradation had also appeared in the arid valleys of the Yalong River and the Jinsha River. Through validation analysis, we found that the main causes of vegetation degradation are the natural degradation of wetland grassland and human activities, specifically agricultural development and residential area expansion. PeerJ Inc. 2019-12-13 /pmc/articles/PMC6913281/ /pubmed/31844592 http://dx.doi.org/10.7717/peerj.8223 Text en ©2019 Wang et al. https://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ) and either DOI or URL of the article must be cited.
spellingShingle Ecology
Wang, Haijun
Peng, Peihao
Kong, Xiangdong
Zhang, Tingbin
Yi, Guihua
Vegetation dynamic analysis based on multisource remote sensing data in the east margin of the Qinghai-Tibet Plateau, China
title Vegetation dynamic analysis based on multisource remote sensing data in the east margin of the Qinghai-Tibet Plateau, China
title_full Vegetation dynamic analysis based on multisource remote sensing data in the east margin of the Qinghai-Tibet Plateau, China
title_fullStr Vegetation dynamic analysis based on multisource remote sensing data in the east margin of the Qinghai-Tibet Plateau, China
title_full_unstemmed Vegetation dynamic analysis based on multisource remote sensing data in the east margin of the Qinghai-Tibet Plateau, China
title_short Vegetation dynamic analysis based on multisource remote sensing data in the east margin of the Qinghai-Tibet Plateau, China
title_sort vegetation dynamic analysis based on multisource remote sensing data in the east margin of the qinghai-tibet plateau, china
topic Ecology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6913281/
https://www.ncbi.nlm.nih.gov/pubmed/31844592
http://dx.doi.org/10.7717/peerj.8223
work_keys_str_mv AT wanghaijun vegetationdynamicanalysisbasedonmultisourceremotesensingdataintheeastmarginoftheqinghaitibetplateauchina
AT pengpeihao vegetationdynamicanalysisbasedonmultisourceremotesensingdataintheeastmarginoftheqinghaitibetplateauchina
AT kongxiangdong vegetationdynamicanalysisbasedonmultisourceremotesensingdataintheeastmarginoftheqinghaitibetplateauchina
AT zhangtingbin vegetationdynamicanalysisbasedonmultisourceremotesensingdataintheeastmarginoftheqinghaitibetplateauchina
AT yiguihua vegetationdynamicanalysisbasedonmultisourceremotesensingdataintheeastmarginoftheqinghaitibetplateauchina