干旱区生态环境知识资源中心(Arid): Modelling Global Deforestation Using Spherical Geographic Automata Approach

Arid

DOI	10.3390/ijgi12080306
	Modelling Global Deforestation Using Spherical Geographic Automata Approach
	Addae, Bright; Dragicevic, Suzana
通讯作者	Addae, B
来源期刊	ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION
EISSN	2220-9964
出版年	2023
卷号	12 期号:8
英文摘要	Deforestation as a land-cover change process is linked to several environmental problems including desertification, biodiversity loss, and ultimately climate change. Understanding the land-cover change process and its relation to human-environment interactions is important for supporting spatial decisions and policy making at the global level. However, current geosimulation model applications mainly focus on characterizing urbanization and agriculture expansion. Existing modelling approaches are also unsuitable for simulating land-cover change processes covering large spatial extents. Thus, the objective of this research is to develop and implement a spherical geographic automata model to simulate deforestation at the global level under different scenarios designed to represent diverse future conditions. Simulation results from the deforestation model indicate the global forest size would decrease by 10.5% under the business-as-usual scenario through 2100. The global forest extent would also decline by 15.3% under the accelerated deforestation scenario and 3.7% under the sustainable deforestation scenario by the end of the 21st century. The obtained simulation outputs also revealed the rate of deforestation in protected areas to be considerably lower than the overall forest-cover change rate under all scenarios. The proposed model can be utilized by stakeholders to examine forest conservation programs and support sustainable policy making and implementation.
英文关键词	spherical geographic automata modelling global deforestation land-cover change complex spatial systems geographic information systems
类型	Article
语种	英语
开放获取类型	gold
收录类别	SCI-E
WOS记录号	WOS:001056407800001
WOS关键词	LAND-USE CHANGE ; COVER CHANGES ; FOREST AREA ; AGRICULTURAL LAND ; GIS ; UNCERTAINTY ; EMISSIONS ; ACCURACY ; DRIVERS ; TOOLS
WOS类目	Computer Science, Information Systems ; Geography, Physical ; Remote Sensing
WOS研究方向	Computer Science ; Physical Geography ; Remote Sensing
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/397078
推荐引用方式 GB/T 7714	Addae, Bright,Dragicevic, Suzana. Modelling Global Deforestation Using Spherical Geographic Automata Approach[J],2023,12(8).
APA	Addae, Bright,&Dragicevic, Suzana.(2023).Modelling Global Deforestation Using Spherical Geographic Automata Approach.ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION,12(8).
MLA	Addae, Bright,et al."Modelling Global Deforestation Using Spherical Geographic Automata Approach".ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION 12.8(2023).