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Predicting Plant Extinction Based on Species-Area Curves in Prairie Fragments with High Beta Richness.
- Source :
-
Conservation Biology . Dec2005, Vol. 19 Issue 6, p1835-1841. 7p. 1 Diagram, 2 Charts, 1 Graph. - Publication Year :
- 2005
-
Abstract
- Species-area relationships and island biogeography theory are commonly used to predict how species richness will decline with fragmentation. There are a variety of largely untested assumptions in these approaches, including the assumptions that populations are distributed uniformly before fragmentation, and that local extinctions are due to effects of small population sizes. If populations are not distributed uniformly, then populations can be abundant locally but rare globally. This would cause extinction rates to be smaller than predicted. We tested extinction theory by developing estimates of the number of plant species that should be present in small tallgrass prairie fragments and then testing the uniformity assumption by partitioning species richness into α (within site) and β (among site) components in Iowa prairies. Many more native prairie plant species were present in surveys of prairie fragments (491) than was predicted based on theory (27–207). A large proportion (75%) of the total species richness was β richness. We suggest that the high proportion of β richness was responsible for the shallow species-area slopes and the lower than expected number of species losses and that a better understanding of what determines β diversity will improve predictions of fragmentation effects on richness of plants. We also suggest that plants in prairie remnants may be best conserved by protecting different prairie types rather than by protecting a few large areas containing a single prairie type. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 08888892
- Volume :
- 19
- Issue :
- 6
- Database :
- Academic Search Index
- Journal :
- Conservation Biology
- Publication Type :
- Academic Journal
- Accession number :
- 18942408
- Full Text :
- https://doi.org/10.1111/j.1523-1739.2005.00250.x