Abstract:
:The analysis of functional diversity (FD) has gained increasing importance due to its generality and utility in ecology. In particular, patterns in the spatial distribution and temporal change of FD are being used to predict locations and functional groups that are immediately vulnerable to global changes. A major impediment to the accurate measurement of FD is the pervasiveness of missing data in trait datasets. While such prevalent data gaps can engender misleading inferences in FD analyses, we currently lack any practical guide to handle missing data in trait datasets. Here, we identify significant mismatches between true FD and values derived from datasets that contain missing data. We demonstrate that imputing missing data with a phylogeny-informed approach reduces the risk of misinterpretation of FD patterns, and provides baseline information against which central questions in ecology can be evaluated.
journal_name
Ecol Lettjournal_title
Ecology lettersauthors
Kim SW,Blomberg SP,Pandolfi JMdoi
10.1111/ele.13089subject
Has Abstractpub_date
2018-08-01 00:00:00pages
1200-1210issue
8eissn
1461-023Xissn
1461-0248journal_volume
21pub_type
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