期刊
TRENDS IN ECOLOGY & EVOLUTION
卷 29, 期 2, 页码 97-106出版社
ELSEVIER SCIENCE LONDON
DOI: 10.1016/j.tree.2013.10.012
关键词
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资金
- Berkeley Initiative in Global Change Biology
- NSF [CNH 1115069, DEB-1051342]
- David H. Smith Postdoctoral Fellowship
- Direct For Biological Sciences [1115069, 1051342] Funding Source: National Science Foundation
- Division Of Environmental Biology [1051342, 1115069] Funding Source: National Science Foundation
Estimates of species richness and diversity are central to community and macroecology and are frequently used in conservation planning. Commonly used diversity metrics account for undetected species primarily by controlling for sampling effort. Yet the probability of detecting an individual can vary among species, observers, survey methods, and sites. We review emerging methods to estimate alpha, beta, gamma, and metacommunity diversity through hierarchical multispecies occupancy models (MSOMs) and multispecies abundance models (MSAMs) that explicitly incorporate observation error in the detection process for species or individuals. We examine advantages, limitations, and assumptions of these detection-based hierarchical models for estimating species diversity. Accounting for imperfect detection using these approaches has influenced conclusions of comparative community studies and creates new opportunities for testing theory.
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