Climate models
; Data reduction
; Ecology
; Plants (botany)
; Fossil pollens
; Global
; Hindcasting
; Model calibration
; Model validation
; Paleoclimate modelling
; Quaternary
; Species distribution models
; Population distribution
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.
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