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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Main Authors: Qian Xu, Qunou Jiang, Kai Cao, Xing Li, Xiangzheng Deng
Format: Article
Language:English
Published: Hindawi Limited 2013-01-01
Series:Advances in Meteorology
Online Access:http://dx.doi.org/10.1155/2013/919013
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spelling 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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