DOI: 10.1111/ele.12624
Scopus记录号: 2-s2.0-84971673777
论文题名: Multidimensional biases, gaps and uncertainties in global plant occurrence information
作者: Meyer C. ; Weigelt P. ; Kreft H.
刊名: Ecology Letters
ISSN: 1461023X
EISSN: 1461-0248
出版年: 2016
语种: 英语
英文关键词: Data bias
; Data deficiency
; Data uncertainty
; Global Biodiversity Information Facility
; Global Strategy for Plant Conservation
; Herbarium specimens
; Knowledge gaps
; Species distributions
; Survey effort
; Wallacean shortfall
Scopus关键词: biodiversity
; biogeography
; conceptual framework
; conservation planning
; conservation status
; floristics
; knowledge
; species conservation
; species diversity
; taxonomy
; uncertainty analysis
; classification
; demography
; ecosystem
; environmental monitoring
; information service
; plant
; species difference
; Demography
; Ecosystem
; Environmental Monitoring
; Information Services
; Plants
; Species Specificity
; Embryophyta
; Gabaza
英文摘要: Plants are a hyperdiverse clade that plays a key role in maintaining ecological and evolutionary processes as well as human livelihoods. Biases, gaps and uncertainties in plant occurrence information remain a central problem in ecology and conservation, but these limitations remain largely unassessed globally. In this synthesis, we propose a conceptual framework for analysing gaps in information coverage, information uncertainties and biases in these metrics along taxonomic, geographical and temporal dimensions, and apply it to all c. 370 000 species of land plants. To this end, we integrated 120 million point-occurrence records with independent databases on plant taxonomy, distributions and conservation status. We find that different data limitations are prevalent in each dimension. Different metrics of information coverage and uncertainty are largely uncorrelated, and reducing taxonomic, spatial or temporal uncertainty by filtering out records would usually come at great costs to coverage. In light of these multidimensional data limitations, we discuss prospects for global plant ecological and biogeographical research, monitoring and conservation and outline critical next steps towards more effective information usage and mobilisation. Our study provides an empirical baseline for evaluating and improving global floristic knowledge, along with a conceptual framework that can be applied to study other hyperdiverse clades. © 2016 John Wiley & Sons Ltd/CNRS.
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/107833
Appears in Collections: 气候减缓与适应
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作者单位: Biodiversity, Macroecology and Conservation Biogeography Group Faculty of Forest Sciences University of Göttingen Büsgenweg 1 37077 Göttingen Germany; Synthesis Centre (sDiv) German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig Deutscher Platz 5e 04103 Leipzig Germany
Recommended Citation:
Meyer C.,Weigelt P.,Kreft H.. Multidimensional biases, gaps and uncertainties in global plant occurrence information[J]. Ecology Letters,2016-01-01