Interactions between Climate, Socioeconomics, and Land Dynamics in Qinghai Province, China: A LUCD Model-Based Numerical Experiment
This simulation-based research produces a set of forecast land use data of Qinghai Province, China, applying the land use change dynamics (LUCD) model. The simulation results show that the land use pattern will almost keep being consistent in the period from 2010 to 2050 with that in 2000 in Qinghai...
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Format: | Article |
Language: | English |
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Wiley
2013-01-01
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Series: | Advances in Meteorology |
Online Access: | http://dx.doi.org/10.1155/2013/297926 |
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author | Xiangzheng Deng Jikun Huang Yingzhi Lin Qingling Shi |
author_facet | Xiangzheng Deng Jikun Huang Yingzhi Lin Qingling Shi |
author_sort | Xiangzheng Deng |
collection | DOAJ |
description | This simulation-based research produces a set of forecast land use data of Qinghai Province, China, applying the land use change dynamics (LUCD) model. The simulation results show that the land use pattern will almost keep being consistent in the period from 2010 to 2050 with that in 2000 in Qinghai Province. Grassland and barren or sparsely vegetated land will cover more than 80% of the province’s total area. The land use change will be inconspicuous in the period from 2010 to 2050 involving only 0.49% of the province’s land. The expansion of urban and built-up land, grassland, and barren or sparsely vegetated land and the area reduction of mixed dryland/irrigated cropland and pasture, water bodies, and snow or ice will dominate land use changes of the case study area. The changes of urban and built-up land and mixed dryland/irrigated cropland and pasture will slow down over time. Meanwhile, the change rates of water bodies, snow and ice, barren or sparsely vegetated land, and grassland will show an inverted U-shaped trajectory. Except for providing underlying surfaces for RCMs for future climate change assessment, this empirical research of regional land use change may enhance the understanding of land surface system dynamics. |
format | Article |
id | doaj-art-2be5fb7e109c4e8189bc54637c19bc95 |
institution | Kabale University |
issn | 1687-9309 1687-9317 |
language | English |
publishDate | 2013-01-01 |
publisher | Wiley |
record_format | Article |
series | Advances in Meteorology |
spelling | doaj-art-2be5fb7e109c4e8189bc54637c19bc952025-02-03T06:00:52ZengWileyAdvances in Meteorology1687-93091687-93172013-01-01201310.1155/2013/297926297926Interactions between Climate, Socioeconomics, and Land Dynamics in Qinghai Province, China: A LUCD Model-Based Numerical ExperimentXiangzheng Deng0Jikun Huang1Yingzhi Lin2Qingling Shi3Institute of Geographic and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, ChinaInstitute of Geographic and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, ChinaSchool of Mathematics and Physics, China University of Geosciences (Wuhan), Wuhan 430074, ChinaInstitute of Geographic and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, ChinaThis simulation-based research produces a set of forecast land use data of Qinghai Province, China, applying the land use change dynamics (LUCD) model. The simulation results show that the land use pattern will almost keep being consistent in the period from 2010 to 2050 with that in 2000 in Qinghai Province. Grassland and barren or sparsely vegetated land will cover more than 80% of the province’s total area. The land use change will be inconspicuous in the period from 2010 to 2050 involving only 0.49% of the province’s land. The expansion of urban and built-up land, grassland, and barren or sparsely vegetated land and the area reduction of mixed dryland/irrigated cropland and pasture, water bodies, and snow or ice will dominate land use changes of the case study area. The changes of urban and built-up land and mixed dryland/irrigated cropland and pasture will slow down over time. Meanwhile, the change rates of water bodies, snow and ice, barren or sparsely vegetated land, and grassland will show an inverted U-shaped trajectory. Except for providing underlying surfaces for RCMs for future climate change assessment, this empirical research of regional land use change may enhance the understanding of land surface system dynamics.http://dx.doi.org/10.1155/2013/297926 |
spellingShingle | Xiangzheng Deng Jikun Huang Yingzhi Lin Qingling Shi Interactions between Climate, Socioeconomics, and Land Dynamics in Qinghai Province, China: A LUCD Model-Based Numerical Experiment Advances in Meteorology |
title | Interactions between Climate, Socioeconomics, and Land Dynamics in Qinghai Province, China: A LUCD Model-Based Numerical Experiment |
title_full | Interactions between Climate, Socioeconomics, and Land Dynamics in Qinghai Province, China: A LUCD Model-Based Numerical Experiment |
title_fullStr | Interactions between Climate, Socioeconomics, and Land Dynamics in Qinghai Province, China: A LUCD Model-Based Numerical Experiment |
title_full_unstemmed | Interactions between Climate, Socioeconomics, and Land Dynamics in Qinghai Province, China: A LUCD Model-Based Numerical Experiment |
title_short | Interactions between Climate, Socioeconomics, and Land Dynamics in Qinghai Province, China: A LUCD Model-Based Numerical Experiment |
title_sort | interactions between climate socioeconomics and land dynamics in qinghai province china a lucd model based numerical experiment |
url | http://dx.doi.org/10.1155/2013/297926 |
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