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<sup>2</s...

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Main Authors: Junxiao Wang, Mengyao Li, Liuming Wang, Jiangfeng She, Liping Zhu, Xingong Li
Format: Article
Language:English
Published: MDPI AG 2021-12-01
Series:Remote Sensing
Subjects:
Online Access:https://www.mdpi.com/2072-4292/13/24/5125
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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
collection DOAJ
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<sup>2</sup> 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<sup>2</sup>·year<sup>−1</sup>. 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.
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spelling doaj.art-51d6adbfc22647f2bbb9b596fbff4b902023-11-23T10:25:09ZengMDPI AGRemote Sensing2072-42922021-12-011324512510.3390/rs13245125Long-Term Lake Area Change and Its Relationship with Climate in the Endorheic Basins of the Tibetan PlateauJunxiao Wang0Mengyao Li1Liuming Wang2Jiangfeng She3Liping Zhu4Xingong Li5School of Public Administration, Nanjing University of Finance & Economics, Nanjing 210023, ChinaJiangsu Provincial Key Laboratory of Geographic Information Science and Technology, Key Laboratory for Land Satellite Remote Sensing Applications of Ministry of Natural Resources, School of Geography and Ocean Science, Nanjing University, Nanjing 210023, ChinaJiangsu Provincial Key Laboratory of Geographic Information Science and Technology, Key Laboratory for Land Satellite Remote Sensing Applications of Ministry of Natural Resources, School of Geography and Ocean Science, Nanjing University, Nanjing 210023, ChinaJiangsu Provincial Key Laboratory of Geographic Information Science and Technology, Key Laboratory for Land Satellite Remote Sensing Applications of Ministry of Natural Resources, School of Geography and Ocean Science, Nanjing University, Nanjing 210023, ChinaKey Laboratory of Tibetan Environment Changes and Land Surface Processes (TEL), Institute of Tibetan Plateau Research (ITP), Chinese Academy of Sciences, Beijing 100101, ChinaDepartment of Geography and Atmospheric Science, University of Kansas, Lawrence, KS 66045, USALakes 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<sup>2</sup> 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<sup>2</sup>·year<sup>−1</sup>. 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.https://www.mdpi.com/2072-4292/13/24/5125remote sensingLandsatmonsoon systemEl Niño/La Niña events
spellingShingle 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
Remote Sensing
remote sensing
Landsat
monsoon system
El Niño/La Niña events
title 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_short 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
topic remote sensing
Landsat
monsoon system
El Niño/La Niña events
url https://www.mdpi.com/2072-4292/13/24/5125
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