Parasitology, Harold W. Manter Laboratory of

 

Reimagining Species on the Move across Space and Time

Alexa L. Fredston, University of California, Santa Cruz
Morgan W. Tingley, University of California, Los Angeles
Montague H. C. Neate-Clegg, University of California, Los Angeles
Luke J. Evans, University of Florida
Laura H. Antão, University of Helsinki
Natalie C. Ban, University of Victoria
I-Ching Chen, National Cheng Kung University
Yi-Wen Chen, National Cheng Kung University
Lise Comte, Conservation Science Partners
David P. Edwards, University of Cambridge
Birgitta Evengard, Umea University
Belen Fadrique, University of Leeds
Sophie H. Falkeis, Studio Sophie Falkeis
Robert Guralnick, University of Florida
David H. Klinges, Yale University
Jonas J. Lembrechts, Utrecht University
Jonathan Lenoir, Université de Picardie Jules Verne
Juliano Palacios-Abrantes, University of British Columbia
Aníbal Pauchard, Universidad de Concepción
Gretta Pecl, University of Tasmania
Malin L. Pinsky, University of California, Santa Cruz
Rebecca A. Senior, Durham University
Jennifer E. Smith, University of Tasmania
Lydia D. Soifer, University of Florida
Jennifer M. Sunday, McGill University
Ken D. Tape, University of Alaska, Fairbanks
Peter Washam, Cornell University
Brett R. Scheffers, University of Florida

Copyright 2024, the authors. Open access

License: CC BY 4.0 International

Abstract

Climate change is already leaving a broad footprint of impacts on biodiversity, from an individual caterpillar emerging earlier in spring to an entire plant community migrating poleward. Despite the various modes of how species are on the move, we primarily document shifting species along only one gradient (e.g., latitude or phenology) and along one dimension (space or time). Here we present a unifying framework for integrating the study of species on the move over space and time and from micro to macro scales. Future conservation planning and natural resource management will depend on our ability to use this framework to improve understanding, attribution, and prediction of species on the move.