Scenario-Based Analysis on the Structural Change of Land Uses in China
Land Use/Land Cover change (LUCC) is a key aspect of global environmental change, which has a significant impact on climate change. In the background of increasing global warming resulting from greenhouse effect, to understand the impact of land use change on climate change is necessary and meaningf...
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Online Access: | http://dx.doi.org/10.1155/2013/919013 |
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doaj-db915ecf7f6a4fc08fe86c82091551652020-11-24T22:32:07ZengHindawi LimitedAdvances in Meteorology1687-93091687-93172013-01-01201310.1155/2013/919013919013Scenario-Based Analysis on the Structural Change of Land Uses in ChinaQian Xu0Qunou Jiang1Kai Cao2Xing Li3Xiangzheng Deng4School of Mathematics and Physics, China University of Geosciences (Wuhan), Wuhan 430074, ChinaSchool of Soil and Water Conservation, Beijing Forestry University, Beijing 100038, ChinaSchool of Mathematics and Physics, China University of Geosciences (Wuhan), Wuhan 430074, ChinaSchool of Mathematics and Physics, China University of Geosciences (Wuhan), Wuhan 430074, ChinaInstitute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, ChinaLand Use/Land Cover change (LUCC) is a key aspect of global environmental change, which has a significant impact on climate change. In the background of increasing global warming resulting from greenhouse effect, to understand the impact of land use change on climate change is necessary and meaningful. In this study, we choose China as the study area and explore the possible land use change trends based on the AgLU module and ERB module of global change assessment model (GCAM model and Global Change Assessment Model). We design three scenarios based on socioeconomic development and simulated the corresponding structure change of land use according to the three scenarios with different parameters. Then we simulate the different emission of CO2 under different scenarios based on the simulation results of structure change of land use. At last, we choose the most suitable scenario that could control the emission of CO2 best and obtain the relatively better land use structure change for adaption of climate change. Through this research we can provide a theoretical basis for the future land use planning to adapt to climate change.http://dx.doi.org/10.1155/2013/919013 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Qian Xu Qunou Jiang Kai Cao Xing Li Xiangzheng Deng |
spellingShingle |
Qian Xu Qunou Jiang Kai Cao Xing Li Xiangzheng Deng Scenario-Based Analysis on the Structural Change of Land Uses in China Advances in Meteorology |
author_facet |
Qian Xu Qunou Jiang Kai Cao Xing Li Xiangzheng Deng |
author_sort |
Qian Xu |
title |
Scenario-Based Analysis on the Structural Change of Land Uses in China |
title_short |
Scenario-Based Analysis on the Structural Change of Land Uses in China |
title_full |
Scenario-Based Analysis on the Structural Change of Land Uses in China |
title_fullStr |
Scenario-Based Analysis on the Structural Change of Land Uses in China |
title_full_unstemmed |
Scenario-Based Analysis on the Structural Change of Land Uses in China |
title_sort |
scenario-based analysis on the structural change of land uses in china |
publisher |
Hindawi Limited |
series |
Advances in Meteorology |
issn |
1687-9309 1687-9317 |
publishDate |
2013-01-01 |
description |
Land Use/Land Cover change (LUCC) is a key aspect of global environmental change, which has a significant impact on climate change. In the background of increasing global warming resulting from greenhouse effect, to understand the impact of land use change on climate change is necessary and meaningful. In this study, we choose China as the study area and explore the possible land use change trends based on the AgLU module and ERB module of global change assessment model (GCAM model and Global Change Assessment Model). We design three scenarios based on socioeconomic development and simulated the corresponding structure change of land use according to the three scenarios with different parameters. Then we simulate the different emission of CO2 under different scenarios based on the simulation results of structure change of land use. At last, we choose the most suitable scenario that could control the emission of CO2 best and obtain the relatively better land use structure change for adaption of climate change. Through this research we can provide a theoretical basis for the future land use planning to adapt to climate change. |
url |
http://dx.doi.org/10.1155/2013/919013 |
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