Author/Authors :
Robert J. Smith MD، نويسنده , , Julian Easton، نويسنده , , Bruno A. Nhancale، نويسنده , , Adrian J. Armstrong، نويسنده , , James Culverwell، نويسنده , , Sikhumbuzo D. Dlamini، نويسنده , , Peter S. Goodman، نويسنده , , Linda Loffler، نويسنده , , Wayne S. Matthews، نويسنده , , Ara Monadjem، نويسنده , , Craig M. Mulqueeny، نويسنده , , Petros Ngwenya، نويسنده , , Cornelio P. Ntumi، نويسنده , , Bartolomeu Soto، نويسنده , , Nigel Leader-Williams، نويسنده ,
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 km2, which represents 21.2% of the region, and meet the representation targets for 46% of the conservation features. The proposed conservation landscape adds 4291 km2 of new core areas and 480 km2 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.
Keywords :
systematic conservation planning , agriculture , Marxan , southern Africa , Game ranching