Designing a transfrontier conservation landscape for the Maputaland centre of endemism using biodiversity, economic and threat data

Smith, Robert J. and Easton, Julian and Nhancale, Bruno A. and Armstrong, Adrian J. and Culverwell, James and Dlamini, Sikhumbuzo D. and Goodman, Peter S. and Loffler, Linda and Matthews, Wayne S. and Monadjem, Ara and Mulqueeny, Craig M. and Ngwenya, Petros and Ntumi, Cornelio P. and Soto, Bartolomeu and Leader-Williams, Nigel (2008) Designing a transfrontier conservation landscape for the Maputaland centre of endemism using biodiversity, economic and threat data. Biological Conservation, 141 (8). pp. 2127-2138. ISSN 0006-3207. (Access to this publication is restricted)

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http://dx.doi.org/10.1016/j.biocon.2008.06.010

Abstract

A number of global priority region schemes have been developed, but local assessments are needed to identify priority areas for conservation within these regions. Here, we describe results from a conservation assessment for Maputaland, part of a biodiversity hotspot in southern Africa that is also the focus of the Lubombo Transfrontier Conservation Area (TFCA) initiative between South Africa, Mozambique and Swaziland. The TFCA seeks to establish new state-, private- and communally-managed conservation areas to boost economic development through nature-based tourism and game ranching. The assessment will guide the TFCA process and used a systematic conservation planning approach to design a landscape to conserve 44 landcover types, 53 species and 14 ecological processes. The assessment also included data on modelled risk of agricultural transformation, of which low-risk areas were selected where possible. The current PA systems in the three countries cover 3830 km(2), which represents 21.2% of the region, and meet the representation targets for 46% of the conservation features. The proposed conservation landscape adds 4291 km(2) of new core areas and 480 km(2) of linkages and, if appropriate, could provide potential revenues of US$18.8 million from game ranching, based on modelled large ungulate density, life history and game auction data. We also discuss the benefits of including data on widely distributed, better known conservation features together with less-well studied, range-restricted species and the advantages of using agricultural transformation risk data in conservation assessments.

Item Type: Article
Uncontrolled keywords: systematic conservation planning; marxan; southern Africa; game ranching; agriculture
Subjects: G Geography. Anthropology. Recreation > GE Environmental Sciences
Divisions: Faculties > Social Sciences > School of Anthropology and Conservation > DICE (Durrell Institute of Conservation and Ecology)
Depositing User: Bob Smith
Date Deposited: 03 Apr 2009 09:09
Last Modified: 11 Apr 2014 15:58
Resource URI: http://kar.kent.ac.uk/id/eprint/17847 (The current URI for this page, for reference purposes)
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