Regional sustainable development of renewable natural resources using Net Primary Productivity on a global scale

Renewable natural resources and ecosystem services constitute the fundamental support needed for the sustainable development of human beings. Emergy assessment coupled with Geographic Information System (GIS) has supported the creation of an effective framework needed towards sustainable development...

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Autores principales:	Saket Dubey, Ashutosh Sharma, Venkatesh Kishor Panchariya, Manish Kumar Goyal, Rao Y. Surampalli, Tian C. Zhang
Formato:	article
Lenguaje:	EN
Publicado:	Elsevier 2021
Materias:	Emergy assessment General Circulation Models (GCMs) Koppen-Geiger climate classification Net Primary Productivity (NPP) Regional sustainable development Ecology QH540-549.5
Acceso en línea:	https://doaj.org/article/223bd9a7ac7646679ac212c2931c4dba
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spelling	oai:doaj.org-article:223bd9a7ac7646679ac212c2931c4dba2021-12-01T04:53:11ZRegional sustainable development of renewable natural resources using Net Primary Productivity on a global scale1470-160X10.1016/j.ecolind.2021.107768https://doaj.org/article/223bd9a7ac7646679ac212c2931c4dba2021-08-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S1470160X21004337https://doaj.org/toc/1470-160XRenewable natural resources and ecosystem services constitute the fundamental support needed for the sustainable development of human beings. Emergy assessment coupled with Geographic Information System (GIS) has supported the creation of an effective framework needed towards sustainable development. Unprecedented global maps depicting the emergy distribution of renewable natural resources (e.g., solar radiation, wind, rainfall, and geothermal heat flow) are presented in this work, and a composite empower density (Em; sej/km2/year) map was generated. The entire world was classified based on land cover types, United Nations (UN) geoscheme regions, major river basins, and climate types. We identified the regions with abundant renewable emergy and compared these regions based on different renewable resources. We also used 24 different General Circulation Models (GCMs) to examine the impact of climate change on distribution of global resources. Moreover, the distribution of Net Primary Productivity (NPP) was related to emergy to understand the interactions between energy and the environment. Our results suggest that the Himalayan region and highland areas of South America, European Russia and Eastern Europe are rich in overall renewable resources, GCM projections suggest that a major part of the globe is expected to observe an increment in renewable resources. Most of the regions projecting a decrease in renewable resources (critical regions as the empower density is expected to decrease) have a moderate empower density/NPP ratio and therefore, climate change is expected to cause a moderate effect on the ecosystem of these regions. The results from this study can provide useful information to decision-makers in formulating the policy of renewable resources exploitation while ensuring minimal disturbance to the ecosystem.Saket DubeyAshutosh SharmaVenkatesh Kishor PanchariyaManish Kumar GoyalRao Y. SurampalliTian C. ZhangElsevierarticleEmergy assessmentGeneral Circulation Models (GCMs)Koppen-Geiger climate classificationNet Primary Productivity (NPP)Regional sustainable developmentEcologyQH540-549.5ENEcological Indicators, Vol 127, Iss , Pp 107768- (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Emergy assessment General Circulation Models (GCMs) Koppen-Geiger climate classification Net Primary Productivity (NPP) Regional sustainable development Ecology QH540-549.5
spellingShingle	Emergy assessment General Circulation Models (GCMs) Koppen-Geiger climate classification Net Primary Productivity (NPP) Regional sustainable development Ecology QH540-549.5 Saket Dubey Ashutosh Sharma Venkatesh Kishor Panchariya Manish Kumar Goyal Rao Y. Surampalli Tian C. Zhang Regional sustainable development of renewable natural resources using Net Primary Productivity on a global scale
description	Renewable natural resources and ecosystem services constitute the fundamental support needed for the sustainable development of human beings. Emergy assessment coupled with Geographic Information System (GIS) has supported the creation of an effective framework needed towards sustainable development. Unprecedented global maps depicting the emergy distribution of renewable natural resources (e.g., solar radiation, wind, rainfall, and geothermal heat flow) are presented in this work, and a composite empower density (Em; sej/km2/year) map was generated. The entire world was classified based on land cover types, United Nations (UN) geoscheme regions, major river basins, and climate types. We identified the regions with abundant renewable emergy and compared these regions based on different renewable resources. We also used 24 different General Circulation Models (GCMs) to examine the impact of climate change on distribution of global resources. Moreover, the distribution of Net Primary Productivity (NPP) was related to emergy to understand the interactions between energy and the environment. Our results suggest that the Himalayan region and highland areas of South America, European Russia and Eastern Europe are rich in overall renewable resources, GCM projections suggest that a major part of the globe is expected to observe an increment in renewable resources. Most of the regions projecting a decrease in renewable resources (critical regions as the empower density is expected to decrease) have a moderate empower density/NPP ratio and therefore, climate change is expected to cause a moderate effect on the ecosystem of these regions. The results from this study can provide useful information to decision-makers in formulating the policy of renewable resources exploitation while ensuring minimal disturbance to the ecosystem.
format	article
author	Saket Dubey Ashutosh Sharma Venkatesh Kishor Panchariya Manish Kumar Goyal Rao Y. Surampalli Tian C. Zhang
author_facet	Saket Dubey Ashutosh Sharma Venkatesh Kishor Panchariya Manish Kumar Goyal Rao Y. Surampalli Tian C. Zhang
author_sort	Saket Dubey
title	Regional sustainable development of renewable natural resources using Net Primary Productivity on a global scale
title_short	Regional sustainable development of renewable natural resources using Net Primary Productivity on a global scale
title_full	Regional sustainable development of renewable natural resources using Net Primary Productivity on a global scale
title_fullStr	Regional sustainable development of renewable natural resources using Net Primary Productivity on a global scale
title_full_unstemmed	Regional sustainable development of renewable natural resources using Net Primary Productivity on a global scale
title_sort	regional sustainable development of renewable natural resources using net primary productivity on a global scale
publisher	Elsevier
publishDate	2021
url	https://doaj.org/article/223bd9a7ac7646679ac212c2931c4dba
work_keys_str_mv	AT saketdubey regionalsustainabledevelopmentofrenewablenaturalresourcesusingnetprimaryproductivityonaglobalscale AT ashutoshsharma regionalsustainabledevelopmentofrenewablenaturalresourcesusingnetprimaryproductivityonaglobalscale AT venkateshkishorpanchariya regionalsustainabledevelopmentofrenewablenaturalresourcesusingnetprimaryproductivityonaglobalscale AT manishkumargoyal regionalsustainabledevelopmentofrenewablenaturalresourcesusingnetprimaryproductivityonaglobalscale AT raoysurampalli regionalsustainabledevelopmentofrenewablenaturalresourcesusingnetprimaryproductivityonaglobalscale AT tianczhang regionalsustainabledevelopmentofrenewablenaturalresourcesusingnetprimaryproductivityonaglobalscale
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Regional sustainable development of renewable natural resources using Net Primary Productivity on a global scale

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