Staff Publications

Staff Publications

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    'Staff publications' is the digital repository of Wageningen University & Research

    'Staff publications' contains references to publications authored by Wageningen University staff from 1976 onward.

    Publications authored by the staff of the Research Institutes are available from 1995 onwards.

    Full text documents are added when available. The database is updated daily and currently holds about 240,000 items, of which 72,000 in open access.

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Record number 443817
Title Categorisation of typical vulnerability patterns in global drylands
Author(s) Sietz, D.; Lûdeke, M.K.B.; Walther, C.
Source Global environmental change : human and policy dimensions 21 (2011)2. - ISSN 0959-3780 - p. 431 - 440.
DOI http://dx.doi.org/10.1016/j.gloenvcha.2010.11.005
Department(s) Rural Development Sociology
WASS
Publication type Refereed Article in a scientific journal
Publication year 2011
Keyword(s) water-use - rangeland degradation - multiple stressors - land degradation - rural poverty - south-africa - livelihoods - desertification - sustainability - mexico
Abstract Drylands display specific vulnerability-creating mechanisms which threaten ecosystems and human well-being. The upscaling of successful interventions to reduce vulnerability arises as an important, but challenging aim, since drylands are not homogenous. To support this aim, we present the first attempt to categorise dryland vulnerability at a global scale and sub-national resolution. The categorisation yields typical patterns of dryland vulnerability and their policy implications according to similarities among the socio-ecological systems. Based on a compilation of prevalent vulnerability-creating mechanisms, we quantitatively indicate the most important dimensions including poverty, water stress, soil degradation, natural agro-constraints and isolation. A cluster analysis reveals a set of seven typical vulnerability patterns showing distinct indicator combinations. These results are validated by case studies reflecting the cluster-specific mechanisms and their spatial distribution. Based on these patterns, we deduce thematic and spatial entry points for reducing dryland vulnerability. Our findings could contribute new insights into allocating the limited funds available for dryland development and support related monitoring efforts based on the manageable number of key indicators.
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