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Spatial relationship between land-use/land-cover change and land surface temperature in the Dongting Lake area, China

The Dongting Lake area (China) is a climate change-sensitive and ecologically fragile area and plays a crucial role in the regulation of the regional climate. In recent decades, rapid social and economic development has led to increased land use/land cover (LULC) changes in the Dongting Lake area, w...

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Autores principales: Tan, Jie, Yu, De, Li, Qiang, Tan, Xuelan, Zhou, Weijun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7280498/
https://www.ncbi.nlm.nih.gov/pubmed/32513946
http://dx.doi.org/10.1038/s41598-020-66168-6
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author Tan, Jie
Yu, De
Li, Qiang
Tan, Xuelan
Zhou, Weijun
author_facet Tan, Jie
Yu, De
Li, Qiang
Tan, Xuelan
Zhou, Weijun
author_sort Tan, Jie
collection PubMed
description The Dongting Lake area (China) is a climate change-sensitive and ecologically fragile area and plays a crucial role in the regulation of the regional climate. In recent decades, rapid social and economic development has led to increased land use/land cover (LULC) changes in the Dongting Lake area, which affect the surface energy balance and hydrological processes. Its contemporary variability under climate change remains highly uncertain. Therefore, we retrieved the Land surface temperature (LST) from the Landsat 7 data and explored its relationship with the LULC types. The results showed that LST is significantly affected by surface type. LST varied significantly across LULC types, with higher LSTs in built-up land, reed beach land, forest land, and paddy fields than in water bodies, mud beaches, marshlands, and riparian forests. Water bodies play an important regulatory role in reducing LST and mitigating thermal effects on the ground. The winter LST in the study area increased by approximately 3.5 °C, which may be related to the decrease in the area of Dongting Lake water bodies, water fields and reed flats after the Three Gorges Reservoir was impounded. Compared with the relationship between the NDVI, DEM, and distance from the water body, the negative correlation between the NDMI and LST was stronger and more stable and had the greatest effect on LST. These insights improve the understanding of the land change consequences on the temporal dynamics of LST.
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spelling pubmed-72804982020-06-15 Spatial relationship between land-use/land-cover change and land surface temperature in the Dongting Lake area, China Tan, Jie Yu, De Li, Qiang Tan, Xuelan Zhou, Weijun Sci Rep Article The Dongting Lake area (China) is a climate change-sensitive and ecologically fragile area and plays a crucial role in the regulation of the regional climate. In recent decades, rapid social and economic development has led to increased land use/land cover (LULC) changes in the Dongting Lake area, which affect the surface energy balance and hydrological processes. Its contemporary variability under climate change remains highly uncertain. Therefore, we retrieved the Land surface temperature (LST) from the Landsat 7 data and explored its relationship with the LULC types. The results showed that LST is significantly affected by surface type. LST varied significantly across LULC types, with higher LSTs in built-up land, reed beach land, forest land, and paddy fields than in water bodies, mud beaches, marshlands, and riparian forests. Water bodies play an important regulatory role in reducing LST and mitigating thermal effects on the ground. The winter LST in the study area increased by approximately 3.5 °C, which may be related to the decrease in the area of Dongting Lake water bodies, water fields and reed flats after the Three Gorges Reservoir was impounded. Compared with the relationship between the NDVI, DEM, and distance from the water body, the negative correlation between the NDMI and LST was stronger and more stable and had the greatest effect on LST. These insights improve the understanding of the land change consequences on the temporal dynamics of LST. Nature Publishing Group UK 2020-06-08 /pmc/articles/PMC7280498/ /pubmed/32513946 http://dx.doi.org/10.1038/s41598-020-66168-6 Text en © The Author(s) 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Tan, Jie
Yu, De
Li, Qiang
Tan, Xuelan
Zhou, Weijun
Spatial relationship between land-use/land-cover change and land surface temperature in the Dongting Lake area, China
title Spatial relationship between land-use/land-cover change and land surface temperature in the Dongting Lake area, China
title_full Spatial relationship between land-use/land-cover change and land surface temperature in the Dongting Lake area, China
title_fullStr Spatial relationship between land-use/land-cover change and land surface temperature in the Dongting Lake area, China
title_full_unstemmed Spatial relationship between land-use/land-cover change and land surface temperature in the Dongting Lake area, China
title_short Spatial relationship between land-use/land-cover change and land surface temperature in the Dongting Lake area, China
title_sort spatial relationship between land-use/land-cover change and land surface temperature in the dongting lake area, china
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7280498/
https://www.ncbi.nlm.nih.gov/pubmed/32513946
http://dx.doi.org/10.1038/s41598-020-66168-6
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