Renewable natural resources and ecosystem services constitute the fundamental support needed for the sustainable development of human beings. Energy assessment coupled with geographic information system (GIS) has supported the creation of an effective framework needed towards sustainable development. Unprecedented global maps depicting the energy 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 map was generated. The entire world was classified based on land cover types, United Nations (UN) geoscheme regions, major river basins, and climate types. The authors identified regions with abundant renewable energy and compared these regions based on different renewable resources. They 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 energy to understand the interactions between energy and environment. 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 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.
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