Long-Term Lake Area Change and Its Relationship with Climate in the Endorheic Basins of the Tibetan Plateau

Lakes are sensitive indicators of climate change in the Tibetan Plateau (TP), which have shown high temporal and spatial variability in recent decades. The driving forces for the change are still not entirely clear. This study examined the area change of the lakes greater than 1 km 2 in the endorhei...

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Published in:Remote Sensing
Main Authors: Junxiao Wang, Mengyao Li, Liuming Wang, Jiangfeng She, Liping Zhu, Xingong Li
Format: Article in Journal/Newspaper
Language:English
Published: MDPI AG 2021
Subjects:
Q
Online Access:https://doi.org/10.3390/rs13245125
https://doaj.org/article/51d6adbfc22647f2bbb9b596fbff4b90
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spelling ftdoajarticles:oai:doaj.org/article:51d6adbfc22647f2bbb9b596fbff4b90 2023-05-15T17:34:03+02:00 Long-Term Lake Area Change and Its Relationship with Climate in the Endorheic Basins of the Tibetan Plateau Junxiao Wang Mengyao Li Liuming Wang Jiangfeng She Liping Zhu Xingong Li 2021-12-01T00:00:00Z https://doi.org/10.3390/rs13245125 https://doaj.org/article/51d6adbfc22647f2bbb9b596fbff4b90 EN eng MDPI AG https://www.mdpi.com/2072-4292/13/24/5125 https://doaj.org/toc/2072-4292 doi:10.3390/rs13245125 2072-4292 https://doaj.org/article/51d6adbfc22647f2bbb9b596fbff4b90 Remote Sensing, Vol 13, Iss 5125, p 5125 (2021) remote sensing Landsat monsoon system El Niño/La Niña events Science Q article 2021 ftdoajarticles https://doi.org/10.3390/rs13245125 2022-12-31T00:47:56Z Lakes are sensitive indicators of climate change in the Tibetan Plateau (TP), which have shown high temporal and spatial variability in recent decades. The driving forces for the change are still not entirely clear. This study examined the area change of the lakes greater than 1 km 2 in the endorheic basins of the Tibetan Plateau (EBTP) using Landsat images from 1990 to 2019, and analysed the relationships between lake area and local and large-scale climate variables at different geographic scales. The results show that lake area in the EBTP has increased significantly from 1990 to 2019 at a rate of 432.52 km 2 ·year −1 . In the past 30 years, lake area changes in the EBTP have mainly been affected by local climate variables such as precipitation and temperature. At a large scale, Indian Summer Monsoon (ISM) has correlations with lake area in western sub-regions in the Inner Basin (IB). While Atlantic Multidecadal Oscillation (AMO) has a significant connection with lake area, the North Atlantic Oscillation (NAO) does not. We also found that abnormal drought (rainfall) brought by the El Niño/La Niña events are significantly correlated with the lake area change in most sub-regions in the IB. Article in Journal/Newspaper North Atlantic North Atlantic oscillation Directory of Open Access Journals: DOAJ Articles Indian Remote Sensing 13 24 5125
institution Open Polar
collection Directory of Open Access Journals: DOAJ Articles
op_collection_id ftdoajarticles
language English
topic remote sensing
Landsat
monsoon system
El Niño/La Niña events
Science
Q
spellingShingle remote sensing
Landsat
monsoon system
El Niño/La Niña events
Science
Q
Junxiao Wang
Mengyao Li
Liuming Wang
Jiangfeng She
Liping Zhu
Xingong Li
Long-Term Lake Area Change and Its Relationship with Climate in the Endorheic Basins of the Tibetan Plateau
topic_facet remote sensing
Landsat
monsoon system
El Niño/La Niña events
Science
Q
description Lakes are sensitive indicators of climate change in the Tibetan Plateau (TP), which have shown high temporal and spatial variability in recent decades. The driving forces for the change are still not entirely clear. This study examined the area change of the lakes greater than 1 km 2 in the endorheic basins of the Tibetan Plateau (EBTP) using Landsat images from 1990 to 2019, and analysed the relationships between lake area and local and large-scale climate variables at different geographic scales. The results show that lake area in the EBTP has increased significantly from 1990 to 2019 at a rate of 432.52 km 2 ·year −1 . In the past 30 years, lake area changes in the EBTP have mainly been affected by local climate variables such as precipitation and temperature. At a large scale, Indian Summer Monsoon (ISM) has correlations with lake area in western sub-regions in the Inner Basin (IB). While Atlantic Multidecadal Oscillation (AMO) has a significant connection with lake area, the North Atlantic Oscillation (NAO) does not. We also found that abnormal drought (rainfall) brought by the El Niño/La Niña events are significantly correlated with the lake area change in most sub-regions in the IB.
format Article in Journal/Newspaper
author Junxiao Wang
Mengyao Li
Liuming Wang
Jiangfeng She
Liping Zhu
Xingong Li
author_facet Junxiao Wang
Mengyao Li
Liuming Wang
Jiangfeng She
Liping Zhu
Xingong Li
author_sort Junxiao Wang
title Long-Term Lake Area Change and Its Relationship with Climate in the Endorheic Basins of the Tibetan Plateau
title_short Long-Term Lake Area Change and Its Relationship with Climate in the Endorheic Basins of the Tibetan Plateau
title_full Long-Term Lake Area Change and Its Relationship with Climate in the Endorheic Basins of the Tibetan Plateau
title_fullStr Long-Term Lake Area Change and Its Relationship with Climate in the Endorheic Basins of the Tibetan Plateau
title_full_unstemmed Long-Term Lake Area Change and Its Relationship with Climate in the Endorheic Basins of the Tibetan Plateau
title_sort long-term lake area change and its relationship with climate in the endorheic basins of the tibetan plateau
publisher MDPI AG
publishDate 2021
url https://doi.org/10.3390/rs13245125
https://doaj.org/article/51d6adbfc22647f2bbb9b596fbff4b90
geographic Indian
geographic_facet Indian
genre North Atlantic
North Atlantic oscillation
genre_facet North Atlantic
North Atlantic oscillation
op_source Remote Sensing, Vol 13, Iss 5125, p 5125 (2021)
op_relation https://www.mdpi.com/2072-4292/13/24/5125
https://doaj.org/toc/2072-4292
doi:10.3390/rs13245125
2072-4292
https://doaj.org/article/51d6adbfc22647f2bbb9b596fbff4b90
op_doi https://doi.org/10.3390/rs13245125
container_title Remote Sensing
container_volume 13
container_issue 24
container_start_page 5125
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