Biodiversity patterns in Indian Ocean corals, and effects of taxonomic error in data

Authors
Citation
Crc. Sheppard, Biodiversity patterns in Indian Ocean corals, and effects of taxonomic error in data, BIODIVERS C, 7(7), 1998, pp. 847-868
Citations number
64
Categorie Soggetti
Environment/Ecology
Journal title
BIODIVERSITY AND CONSERVATION
ISSN journal
09603115 → ACNP
Volume
7
Issue
7
Year of publication
1998
Pages
847 - 868
Database
ISI
SICI code
0960-3115(199807)7:7<847:BPIIOC>2.0.ZU;2-1
Abstract
Corals from 26 sites in the Indian Ocean, from numerous taxonomic sources, are analysed for distribution patterns after applying a consistent synonymy . The data set contains double the amount of distribution information used previously. Cluster analysis shows several contiguous regional groupings wi thin this ocean, and no geographically dispersed groupings exist. Between-s ite species similarity correlates negatively with distance between sites. C oral species diversity and genus diversity plotted with latitude and longit ude confirm that a band of high diversity stretches across the entire India n Ocean, but that in this Ocean, unlike the Pacific and greater Caribbean a rea, there is no clear gradient with latitude at least up to the latitudina l limits of coral growth. About half the species are widespread throughout the Indian Ocean. Species frequency/distribution curves and cumulative freq uency curves show that 150 species occur at only 2-4 sites. Multi-dimension al scaling (MDS) analysis using only these species confirms that they are i mportant in forming sub-regional groupings which are superimposed on a gene ral Indian Ocean homogeneity. The perennial problem of error in taxonomic data sets is examined. Increasi ng taxonomic error is introduced into the data using random methods. It is found that about 25% more error can be added to this data set before the re lationship between similarity coefficient and geographical distance between pairs of sites is lost. Measures extracted from the clustering procedure u sing the original data and the data sets with added taxonomic error, show a sharp loss in cluster formation after addition of about 10 or 20% more err or.