Towards conserving regional mammalian species diversity: a case study and data critique

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Abstract
Species richness maps were derived for the Transvaal region from two different databases, namely a primary point database based on actual survey records and a generalized distribution map database. It is shown that sixteenth degree grid square (= QDS in Lombard 1995) species richness maps based on these two data sets for the region are highly disparate, which may be attributed to overestimation of species distributions by distribution maps and uneven sampling reflected in the primary point database. The limitations and problems associated with the two databases are discussed. Of the 10% most species-rich grid squares based on distribution maps and primary point data, 33,3% and 12% respectively are fully encompassed by existing conservation areas and are well represented in the sixteenth degree grid square networks selected by two iterative reserve selection algorithms. Spesie-rykheidkaarte is vir die Transvaal-area gegenereer vanuit twee verskillende databasisse, naamlik primere puntdata afkomstig van opnamerekords en algemene spesie-verspreidingskaarte, Daar word aange-toon dat sestiende graad ruitvierkante (= QDS in Lombard 1995) spesie-rykheidkaarte gebasseer op hierdie twee databasisse grootliks verskil. Dit kan toegeskryf word aan die neiging van verspreidingskaarte om spesie-verspreidings te oorskat en die neiging van puntdata om die gevolge van oneweredige op names te weerspieel. Die beperkings en probleme verbonde aan die twee databasisse word bespreek. Van die 10% mees spesieryke ruitvierkante vanuit die verspreidingskaarte en primere puntdata word onderskeidelik 33,3% en 12% ingesluit in bestaande bewaringsareas, en word goed verteenwoordig in die sestiende graad ruitvierkante wat deur twee iterasie reservaat-seleksieprosedures aangewys word.

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