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DOI | 10.3390/su10082878 |
Modeling the Land Use Change in an Arid Oasis Constrained by Water Resources and Environmental Policy Change Using Cellular Automata Models | |
Hu, Xiaoli; Li, Xin; Lu, Ling | |
通讯作者 | Li, X (通讯作者) |
发表日期 | 2018 |
EISSN | 2071-1050 |
卷号 | 10期号:8 |
英文摘要 | Land use and land cover change (LUCC) is an important issue in global environmental change and sustainable development, yet spatial simulation of LUCC remains challenging due to the land use system complexity. The cellular automata (CA) model plays a crucial role in simulating LUCC processes due to its powerful spatial computing power; however, the majority of current LUCC CA models are binary-state models that cannot provide more general information about the overall spatial pattern of LUCC. Moreover, the current LUCC CA models rarely consider background artificial irrigation in arid regions. Here, a multiple logistic-regression-based Markov cellular automata (MLRMCA) model and a multiple artificial-neural-network-based Markov cellular automata (MANNMCA) model were developed and applied to simulate complex land use evolutionary processes in an arid region oasis (Zhangye Oasis), constrained by water resources and environmental policy change, during the period 2000-2011. Results indicated that the MANNMCA model was superior to the MLRMCA model in simulated accuracy. Furthermore, combining the artificial neural network with CA more effectively captured the complex relationships between LUCC and a set of spatial driving variables. Although the MLRMCA model also showed some advantages, the MANNMCA model was more appropriate for simulating complex land use dynamics. The two integrated models were reliable, and could reflect the spatial evolution of regional LUCC. These models also have potential implications for land use planning and sustainable development in arid regions. |
关键词 | SCENARIO SIMULATIONCOVER CHANGERIVER-BASINCHINAGISINTEGRATIONCALIBRATIONSYSTEM |
英文关键词 | land use/cover change; land use model; Markov model; cellular automata; artificial neural network; logistic regression; Zhangye oasis; Heihe River Basin |
语种 | 英语 |
WOS研究方向 | Science & Technology - Other Topics ; Environmental Sciences & Ecology |
WOS类目 | Green & Sustainable Science & Technology ; Environmental Sciences ; Environmental Studies |
WOS记录号 | WOS:000446767700294 |
来源期刊 | SUSTAINABILITY |
来源机构 | 中国科学院青藏高原研究所 |
文献类型 | 期刊论文 |
条目标识符 | http://gcip.llas.ac.cn/handle/2XKMVOVA/259192 |
推荐引用方式 GB/T 7714 | Hu, Xiaoli,Li, Xin,Lu, Ling. Modeling the Land Use Change in an Arid Oasis Constrained by Water Resources and Environmental Policy Change Using Cellular Automata Models[J]. 中国科学院青藏高原研究所,2018,10(8). |
APA | Hu, Xiaoli,Li, Xin,&Lu, Ling.(2018).Modeling the Land Use Change in an Arid Oasis Constrained by Water Resources and Environmental Policy Change Using Cellular Automata Models.SUSTAINABILITY,10(8). |
MLA | Hu, Xiaoli,et al."Modeling the Land Use Change in an Arid Oasis Constrained by Water Resources and Environmental Policy Change Using Cellular Automata Models".SUSTAINABILITY 10.8(2018). |
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