气候变化领域集成服务门户(CCPortal): Transcending data gaps: a framework to reduce inferential errors in ecological analyses

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DOI	10.1111/ele.13089
	Transcending data gaps: a framework to reduce inferential errors in ecological analyses
	Kim S.W.; Blomberg S.P.; Pandolfi J.M.
发表日期	2018
ISSN	1461023X
卷号	21 期号:8
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
英文关键词	Functional biogeography; functional diversity; functional trait; imputation; trait database
语种	英语
scopus关键词	ecology; phenotype; phylogeny; Ecology; Phenotype; Phylogeny
来源期刊	Ecology Letters
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/121279
作者单位	Australian Research Council Centre of Excellence for Coral Reef Studies, School of Biological Sciences, The University of Queensland, St. Lucia, Qld 4072, Australia; School of Biological Sciences, The University of Queensland, St. Lucia, Qld 4072, Australia
推荐引用方式 GB/T 7714	Kim S.W.,Blomberg S.P.,Pandolfi J.M.. Transcending data gaps: a framework to reduce inferential errors in ecological analyses[J],2018,21(8).
APA	Kim S.W.,Blomberg S.P.,&Pandolfi J.M..(2018).Transcending data gaps: a framework to reduce inferential errors in ecological analyses.Ecology Letters,21(8).
MLA	Kim S.W.,et al."Transcending data gaps: a framework to reduce inferential errors in ecological analyses".Ecology Letters 21.8(2018).