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MODELING THE BETA DIVERSITY OF CORAL REEFS
Author(s) -
Harborne Alastair R.,
Mumby Peter J.,
ZŻychaluk Kamila,
Hedley John D.,
Blackwell Paul G.
Publication year - 2006
Publication title -
ecology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.144
H-Index - 294
eISSN - 1939-9170
pISSN - 0012-9658
DOI - 10.1890/0012-9658(2006)87[2871:mtbdoc]2.0.co;2
Subject(s) - beta diversity , coral reef , ecology , biodiversity , alpha diversity , seascape , reef , range (aeronautics) , transect , marine ecosystem , marine reserve , environmental science , marine protected area , marine spatial planning , species diversity , geography , ecosystem , biology , environmental resource management , habitat , materials science , composite material
Quantifying the beta diversity (species replacement along spatiotemporal gradients) of ecosystems is important for understanding and conserving patterns of biodiversity. However, virtually all studies of beta diversity focus on one‐dimensional transects orientated along a specific environmental gradient that is defined a priori. By ignoring a second spatial dimension and the associated changes in species composition and environmental gradients, this approach may provide limited insight into the full pattern of beta diversity. Here, we use remotely sensed imagery to quantify beta diversity continuously, in two dimensions, and at multiple scales across an entire tropical marine seascape. We then show that beta diversity can be modeled (0.852 ≥ r 2 ≥ 0.590) at spatial scales between 0.5 and 5.0 km 2 , using the environmental variables of mean and variance of depth and wave exposure. Beta diversity, quantified within a “window” of a given size, is positively correlated to the range of environmental conditions within that window. For example, beta diversity increases with increasing variance of depth. By analyzing such relationships across seascapes, this study provides a framework for a range of disparate coral reef literature including studies of zonation, diversity, and disturbance. Using supporting evidence from soft‐bottom communities, we hypothesize that depth will be an important variable for modeling beta diversity in a range of marine systems. We discuss the implications of our results for the design of marine reserves.
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