气候变化领域集成服务门户(CCPortal): Mapping global land system archetypes

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DOI	10.1016/j.gloenvcha.2013.09.004
	Mapping global land system archetypes
	Václavík T.; Lautenbach S.; Kuemmerle T.; Seppelt R.
发表日期	2013
ISSN	0959-3780
卷号	23 期号:6
英文摘要	Land use is a key driver of global environmental change. Unless major shifts in consumptive behaviours occur, land-based production will have to increase drastically to meet future demands for food and other commodities. One approach to better understand the drivers and impacts of agricultural intensification is the identification of global, archetypical patterns of land systems. Current approaches focus on broad-scale representations of dominant land cover with limited consideration of land-use intensity. In this study, we derived a new global representation of land systems based on more than 30 high-resolution datasets on land-use intensity, environmental conditions and socioeconomic indicators. Using a self-organizing map algorithm, we identified and mapped twelve archetypes of land systems for the year 2005. Our analysis reveals similarities in land systems across the globe but the diverse pattern at sub-national scales implies that there are no 'one-size-fits-all' solutions to sustainable land management. Our results help to identify generic patterns of land pressures and environmental threats and provide means to target regionalized strategies to cope with the challenges of global change. Mapping global archetypes of land systems represents a first step towards better understanding the global patterns of human-environment interactions and the environmental and social outcomes of land system dynamics. © 2013 Elsevier Ltd.
英文关键词	Global classification; Human-environment interactions; Land change; Land-use intensity; Self-organizing map; Sustainability
学科领域	agricultural intensification; algorithm; commodity; data set; demand analysis; environmental change; global change; land use change; land use planning; mapping method; self organization; socioeconomic status; sustainability; sustainable development
语种	英语
scopus关键词	agricultural intensification; algorithm; commodity; data set; demand analysis; environmental change; global change; land use change; land use planning; mapping method; self organization; socioeconomic status; sustainability; sustainable development
来源期刊	Global Environmental Change
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/117886
作者单位	UFZ - Helmholtz Centre for Environmental Research, Department of Computational Landscape Ecology, Leipzig, Germany; Palacký University Olomouc, Faculty of Science, Department of Ecology and Environmental Sciences, Olomouc, Czech Republic; University Bonn, Institute of Geodesy and Geoinformation, Bonn, Germany; Humboldt-University Berlin, Geography Department, Berlin, Germany; Potsdam Institute for Climate Impact Research - PIK, Potsdam, Germany; Martin-Luther University Halle-Wittenberg, Halle (Saale), Germany
推荐引用方式 GB/T 7714	Václavík T.,Lautenbach S.,Kuemmerle T.,et al. Mapping global land system archetypes[J],2013,23(6).
APA	Václavík T.,Lautenbach S.,Kuemmerle T.,&Seppelt R..(2013).Mapping global land system archetypes.Global Environmental Change,23(6).
MLA	Václavík T.,et al."Mapping global land system archetypes".Global Environmental Change 23.6(2013).