The importance of accounting for imperfect detection when estimating functional and phylogenetic community structure. Issue 9 (25th July 2018)

• Record Type: Journal Article
• Authors: Si, Xingfeng; Cadotte, Marc W.; Zhao, Yuhao; Zhou, Haonan; Zeng, Di; Li, Jiaqi; Jin, Tinghao; Ren, Peng; Wang, Yanping; Ding, Ping; Tingley, Morgan W.
• Is Part Of: Ecology. Volume 99:Issue 9(2018)
• Page Start: 2103
• Page End: 2112
• Publication Date: 2018-07-25
• Subjects: Bayesian analysis -- birds -- community assembly -- detectability -- functional trait -- habitat fragmentation -- land‐bridge island -- occupancy model -- phylogenetic diversity -- Thousand Island Lake; Ecology -- Periodicals; Ecology -- Periodicals; Écologie -- Périodiques; Ecologie; Écologie; Écologie animale; Écologie végétale; Ecology; Periodicals; 577.05
• DOI: 10.1002/ecy.2438
• Languages: English
• ISSNs: 0012-9658

Abstract

Abstract: Incorporating imperfect detection when estimating species richness has become commonplace in the past decade. However, the question of how imperfect detection of species affects estimates of functional and phylogenetic community structure remains untested. We used long‐term counts of breeding bird species that were detected at least once on islands in a land‐bridge island system, and employed multi‐species occupancy models to assess the effects of imperfect detection of species on estimates of bird diversity and community structure by incorporating species traits and phylogenies. Our results showed that taxonomic, functional, and phylogenetic diversity were all underestimated significantly as a result of species' imperfect detection, with taxonomic diversity showing the greatest bias. The functional and phylogenetic structure calculated from observed communities were both more clustered than those from the detection‐corrected communities due to missed distinct species. The discrepancy between observed and estimated diversity differed according to the measure of biodiversity employed. Our study demonstrates the importance of accounting for species' imperfect detection in biodiversity studies, especially for functional and phylogenetic community ecology, and when attempting to infer community assembly processes. With datasets that allow for detection‐corrected community structure, we can better estimate diversity and infer the underlying mechanisms that structure community assembly, and thus make reliable management decisions for the conservation of biodiversity.