DOI: 10.1111/ele.13089
Scopus记录号: 2-s2.0-85047494303
论文题名: Transcending data gaps: A framework to reduce inferential errors in ecological analyses
作者: Kim S.W. ; Blomberg S.P. ; Pandolfi J.M.
刊名: Ecology Letters
ISSN: 1461023X
EISSN: 1461-0248
出版年: 2018
语种: 英语
英文关键词: Functional biogeography
; Functional diversity
; Functional trait
; Imputation
; Trait database
英文摘要: 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. © 2018 John Wiley & Sons Ltd/CNRS. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/107530
Appears in Collections: 气候减缓与适应
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作者单位: Australian Research Council Centre of Excellence for Coral Reef Studies School of Biological Sciences The University of Queensland St. Lucia 4072Qld Australia; School of Biological Sciences The University of Queensland St. Lucia 4072Qld Australia
Recommended Citation:
Kim S.W.,Blomberg S.P.,Pandolfi J.M.. Transcending data gaps: A framework to reduce inferential errors in ecological analyses[J]. Ecology Letters,2018-01-01