Outstanding Challenges in the Transferability of Ecological Models

L. Yates, Katherine; J. Bouchet, Phil; Julian Caley, M.; Mengersen, Kerrie; F. Randin, Christophe; Parnell, Stephen; H. Fielding, Alan; J. Bamford, Andrew; S. Ban, Stephen; Márcia Barbosa, A.; F. Dormann, Carsten; Elith, Jane; B. Embling, Clare; N. Ervin, Gary; Fisher, Rebecca; Gould, Susan; Felix Graf, Roland; J. Gregr, Edward; N. Halpin, Patrick; K. Heikkinen, Risto; Heinänen, Stefan; R. Jones, Alice; K Krishnakumar, P; Lauria, Valentina; Lozano‐Montes, Hector; Mannocci, Laura; Mellin, Camille; B. Mesgaran, Mohsen; Moreno Amat, Elena; Mormede, Sophie; Novaczek, Emilie; Oppel, Steffen; Ortuño Crespo, Guillermo; Townsend Peterson, A.; Rapacciuolo, Giovanni; J. Roberts, Jason; E. Ross, Rebecca; L. Scales, Kylie; S. Schoeman, David; V. R. Snelgrove, Paul; Sundblad, Göran; Thuiller, Wilfried; G. Torres, Leigh; Verbruggen, Heroen; Wang, Lifei; J. Wenger, Seth; J. Whittingham, Mark; Zharikov, Yuri; Zurell, Damaris; M. M. Sequeira, Ana

doi:10.1016/j.tree.2018.08.001

Public

Outstanding Challenges in the Transferability of Ecological Models

Published in Trends in Ecology & Evolution • Aug 27, 2018

Authors:

Katherine L. Yates

Phil J. Bouchet

M. Julian Caley

Abstract

Predictive models are central to many scientific disciplines and vital for informing management in a rapidly changing world. However, limited understanding of the accuracy and precision of models transferred to novel conditions (their 'transferability') undermines confidence in their predictions. He...

Subject

Transferability

Predictability

Identification (biology)

Research Assistant

AI chat, annotations, notes & similar papers

Finding related papers...

Discussions

(0)

No comments yet

Be the first to share your thoughts!