Downscaling the Impacts of Large-Scale LUCC on Surface Temperature along with IPCC RCPs: A Global Perspective
| Autor: | Feng Wu, Tao Zhang, Xiangzheng Deng, Yingzhi Lin, Fan Zhang, Chunhong Zhao, Yi Qu, Zhan Wang |
|---|---|
| Rok vydání: | 2014 |
| Předmět: |
Control and Optimization
LUCC Energy Engineering and Power Technology Climate change urbanization Soil science Land cover surface temperature lcsh:Technology grassland degradation cultivated land reclamation jel:Q40 Deforestation jel:Q jel:Q43 jel:Q42 jel:Q41 deforestation jel:Q48 Land use land-use change and forestry jel:Q47 Electrical and Electronic Engineering Engineering (miscellaneous) jel:Q49 Land use lcsh:T Renewable Energy Sustainability and the Environment Grassland degradation Representative Concentration Pathways jel:Q0 jel:Q4 Environmental science Physical geography Energy (miscellaneous) Downscaling |
| Zdroj: | Energies; Volume 7; Issue 4; Pages: 2720-2739 Energies, Vol 7, Iss 4, Pp 2720-2739 (2014) |
| Popis: | This study focuses on the potential impacts of large-scale land use and land cover changes (LUCC) on surface temperature from a global perspective. As important types of LUCC, urbanization, deforestation, cultivated land reclamation, and grassland degradation have effects on the climate, the potential changes of the surface temperature caused by these four types of large-scale LUCC from 2010 to 2050 are downscaled, and this issue analyzed worldwide along with Representative Concentration Pathways (RCPs) of the Intergovernmental Panel on Climate Change (IPCC). The first case study presents some evidence of the effects of future urbanization on surface temperature in the Northeast megalopolis of the United States of America (USA). In order to understand the potential climatological variability caused by future forest deforestation and vulnerability, we chose Brazilian Amazon region as the second case study. The third selected region in India as a typical region of cultivated land reclamation where the possible climatic impacts are explored. In the fourth case study, we simulate the surface temperature changes caused by future grassland degradation in Mongolia. Results show that the temperature in built-up area would increase obviously throughout the four land types. In addition, the effects of all four large-scale LUCC on monthly average temperature change would vary from month to month with obviously spatial heterogeneity. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|