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Remote Sensing Greenness and Urbanization in Ecohydrological Model Analysis: Asia and Australasia (1982–2015)

Linking remote sensing information and ecohydrological models to improve understanding of terrestrial biosphere responses to climate and land use change has become the subject of increased interest due to the impacts of current global changes and the effect on the sustainability of human lifestyles....

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Autores principales: Cai, Danlu, Fraedrich, Klaus, Guan, Yanning, Guo, Shan, Zhang, Chunyan, Sun, Rui, Wu, Zhixiang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6865020/
https://www.ncbi.nlm.nih.gov/pubmed/31671719
http://dx.doi.org/10.3390/s19214693
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author Cai, Danlu
Fraedrich, Klaus
Guan, Yanning
Guo, Shan
Zhang, Chunyan
Sun, Rui
Wu, Zhixiang
author_facet Cai, Danlu
Fraedrich, Klaus
Guan, Yanning
Guo, Shan
Zhang, Chunyan
Sun, Rui
Wu, Zhixiang
author_sort Cai, Danlu
collection PubMed
description Linking remote sensing information and ecohydrological models to improve understanding of terrestrial biosphere responses to climate and land use change has become the subject of increased interest due to the impacts of current global changes and the effect on the sustainability of human lifestyles. An application to Asia and Australasia (1982–2015) is presented, revealing the following results: (i) The broad distribution of regions with the enhanced vegetation greenness only follows the general pattern as for the whole, without obvious dependence on regional or climate fluxes ratios. That indicates a prevailing increasing greenness over land due to both the impacts of current global changes and the sustainability of human lifestyles; (ii) regions with vegetation greenness reduction reveal a unique distribution, concentrating in the water-limited domain due to the impacts of external (climatically “dry gets drier and wet gets wetter”) and internal (anthropogenically increased evaporation) changes; (iii) the external changes of dryness diverge at the boundary separating energy from water-limited regimes, and the internal changes indicate large-scale afforestation and deforestation) that occur mainly in China and Russia due to a conservation program and illegal logging, respectively, and a massive conversion of tropical forest to industrial tree plantations in Southeast Asia, leading to an increased evaporation.
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spelling pubmed-68650202019-12-06 Remote Sensing Greenness and Urbanization in Ecohydrological Model Analysis: Asia and Australasia (1982–2015) Cai, Danlu Fraedrich, Klaus Guan, Yanning Guo, Shan Zhang, Chunyan Sun, Rui Wu, Zhixiang Sensors (Basel) Article Linking remote sensing information and ecohydrological models to improve understanding of terrestrial biosphere responses to climate and land use change has become the subject of increased interest due to the impacts of current global changes and the effect on the sustainability of human lifestyles. An application to Asia and Australasia (1982–2015) is presented, revealing the following results: (i) The broad distribution of regions with the enhanced vegetation greenness only follows the general pattern as for the whole, without obvious dependence on regional or climate fluxes ratios. That indicates a prevailing increasing greenness over land due to both the impacts of current global changes and the sustainability of human lifestyles; (ii) regions with vegetation greenness reduction reveal a unique distribution, concentrating in the water-limited domain due to the impacts of external (climatically “dry gets drier and wet gets wetter”) and internal (anthropogenically increased evaporation) changes; (iii) the external changes of dryness diverge at the boundary separating energy from water-limited regimes, and the internal changes indicate large-scale afforestation and deforestation) that occur mainly in China and Russia due to a conservation program and illegal logging, respectively, and a massive conversion of tropical forest to industrial tree plantations in Southeast Asia, leading to an increased evaporation. MDPI 2019-10-29 /pmc/articles/PMC6865020/ /pubmed/31671719 http://dx.doi.org/10.3390/s19214693 Text en © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Cai, Danlu
Fraedrich, Klaus
Guan, Yanning
Guo, Shan
Zhang, Chunyan
Sun, Rui
Wu, Zhixiang
Remote Sensing Greenness and Urbanization in Ecohydrological Model Analysis: Asia and Australasia (1982–2015)
title Remote Sensing Greenness and Urbanization in Ecohydrological Model Analysis: Asia and Australasia (1982–2015)
title_full Remote Sensing Greenness and Urbanization in Ecohydrological Model Analysis: Asia and Australasia (1982–2015)
title_fullStr Remote Sensing Greenness and Urbanization in Ecohydrological Model Analysis: Asia and Australasia (1982–2015)
title_full_unstemmed Remote Sensing Greenness and Urbanization in Ecohydrological Model Analysis: Asia and Australasia (1982–2015)
title_short Remote Sensing Greenness and Urbanization in Ecohydrological Model Analysis: Asia and Australasia (1982–2015)
title_sort remote sensing greenness and urbanization in ecohydrological model analysis: asia and australasia (1982–2015)
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6865020/
https://www.ncbi.nlm.nih.gov/pubmed/31671719
http://dx.doi.org/10.3390/s19214693
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