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La Amenaza de la Transformación: Cuantificando la Vulnerabilidad de Pastizales en Sudáfrica
Author(s) -
NEKE KIRSTEN S.,
DU PLESSIS MORNÉ A.
Publication year - 2004
Publication title -
conservation biology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.2
H-Index - 222
eISSN - 1523-1739
pISSN - 0888-8892
DOI - 10.1111/j.1523-1739.2004.00157.x
Subject(s) - biome , biodiversity , environmental resource management , geography , grassland , vulnerability (computing) , biodiversity conservation , transformation (genetics) , land use , ecology , environmental planning , computer science , environmental science , ecosystem , biology , biochemistry , computer security , gene
  The ability to predict which areas of conservation importance are most vulnerable to transformation and to rank the relative damage that transforming land uses could cause to biodiversity are important components of an effective and realistic conservation planning process. We used the South African grassland biome as a case study to illustrate the assessment of vulnerability to land‐use transformation through the construction of a “threat map.” We identified the dominant transforming land uses and created suitability models based on area appropriateness for each. Land uses were scored according to their expected relative impacts on biodiversity, with a framework that included compositional, structural, and functional components. This information, once combined, resulted in a map that highlighted the areas most vulnerable to transformation in terms of the likelihood of their transformation and the impact on their biodiversity. We propose that such an analysis of the threat of transformation, in combination with species‐representation approaches, will aid the integration of conservation planning theory and decision making. This approach can be applied at any scale and in any region with a robustness and accuracy dependent on data quality, resultant suitability models, and comprehension of how land uses affect an area's biodiversity.

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