globalchange  > 过去全球变化的重建
DOI: 10.1016/j.quascirev.2017.06.022
Scopus记录号: 2-s2.0-85021444789
论文题名:
Incorporating plant fossil data into species distribution models is not straightforward: Pitfalls and possible solutions
作者: Moreno-Amat E.; Rubiales J.M.; Morales-Molino C.; García-Amorena I.
刊名: Quaternary Science Reviews
ISSN: 2773791
出版年: 2017
卷: 170
起始页码: 56
结束页码: 68
语种: 英语
英文关键词: Data analysis ; Fossil pollen ; Global ; Hindcasting ; Model calibration ; Model validation ; Palaeo-database ; Palaeo-species distribution models ; Paleoclimate modelling ; Quaternary
Scopus关键词: Climate models ; Data reduction ; Ecology ; Plants (botany) ; Fossil pollens ; Global ; Hindcasting ; Model calibration ; Model validation ; Paleoclimate modelling ; Quaternary ; Species distribution models ; Population distribution
英文摘要: The increasing development of species distribution models (SDMs) using palaeodata has created new prospects to address questions of evolution, ecology and biogeography from wider perspectives. Palaeobotanical data provide information on the past distribution of taxa at a given time and place and its incorporation on modelling has contributed to advancing the SDM field. This has allowed, for example, to calibrate models under past climate conditions or to validate projected models calibrated on current species distributions. However, these data also bear certain shortcomings when used in SDMs that may hinder the resulting ecological outcomes and eventually lead to misleading conclusions. Palaeodata may not be equivalent to present data, but instead frequently exhibit limitations and biases regarding species representation, taxonomy and chronological control, and their inclusion in SDMs should be carefully assessed. The limitations of palaeobotanical data applied to SDM studies are infrequently discussed and often neglected in the modelling literature; thus, we argue for the more careful selection and control of these data. We encourage authors to use palaeobotanical data in their SDMs studies and for doing so, we propose some recommendations to improve the robustness, reliability and significance of palaeo-SDM analyses. © 2017 Elsevier Ltd
资助项目: E.M.A. was supported by a grant from the Technical University of Madrid (UPM-RR01/2011). C.M.M. received a Swiss Federal Government Excellent Post-doctoral Scholarship for Foreign Researchers (Ref.: 2014.0386). This research was supported by the projects CGL2011-27229 and CSO2015-65216-C2-2-P from the Spanish Ministry of Economy and Competitiveness.
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/59140
Appears in Collections:过去全球变化的重建

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作者单位: Departamento de Sistemas y Recursos Naturales, Universidad Politécnica de Madrid, Ciudad Universitaria s/n, Madrid, Spain; Departamento de Biología Vegetal I, Facultad de Ciencias Biológicas, Universidad Complutense de Madrid, C/ José Antonio Novais, 12, Madrid, Spain; Institute of Plant Sciences and Oeschger Centre for Climate Change Research, University of Bern, Bern, Switzerland

Recommended Citation:
Moreno-Amat E.,Rubiales J.M.,Morales-Molino C.,et al. Incorporating plant fossil data into species distribution models is not straightforward: Pitfalls and possible solutions[J]. Quaternary Science Reviews,2017-01-01,170
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