Journal article
Climate Velocity Can Inform Conservation in a Warming World
Trends in ecology & evolution, Vol.33(6), pp.441-457
2018
Abstract
Climate change is shifting the ranges of species. Simple predictive metrics of range shifts such as climate velocity, that do not require extensive knowledge or data on individual species, could help to guide conservation. We review research on climate velocity, describing the theory underpinning the concept and its assumptions. We highlight how climate velocity has already been applied in conservation-related research, including climate residence time, climate refugia, endemism, historic and projected range shifts, exposure to climate change, and climate connectivity. Finally, we discuss ways to enhance the use of climate velocity in conservation through tailoring it to be more biologically meaningful, informing design of protected areas, conserving ocean biodiversity in 3D, and informing conservation actions.
Details
- Title
- Climate Velocity Can Inform Conservation in a Warming World
- Authors
- Isaac Brito-Morales (Author) - The University of QueenslandJorge García Molinos (Author) - Hokkaido UniversityDavid S Schoeman (Author) - University of the Sunshine Coast - Faculty of Science, Health, Education and EngineeringMichael T Burrows (Author) - Scottish Association For Marine ScienceElvira S Poloczanska (Author) - The University of QueenslandChristopher J Brown (Author) - Griffith UniversitySimon Ferrier (Author) - CSIRO Land and WaterTom D Harwood (Author) - CSIRO Land and WaterCarissa J Klein (Author) - The University of QueenslandEve McDonald-Madden (Author) - The University of QueenslandPippa J Moore (Author) - Aberystwyth UniversityJohn M Pandolfi (Author) - The University of QueenslandJames E M Watson (Author) - The University of QueenslandAmelia S Wenger (Author) - The University of QueenslandAnthony J Richardson (Author) - The University of Queensland
- Publication details
- Trends in ecology & evolution, Vol.33(6), pp.441-457
- Publisher
- Elsevier Ltd.
- Date published
- 2018
- DOI
- 10.1016/j.tree.2018.03.009
- ISSN
- 0169-5347; 0169-5347
- Grants
- Organisation Unit
- School of Science and Engineering - Legacy; School of Science, Technology and Engineering
- Language
- English
- Record Identifier
- 99451479202621
- Output Type
- Journal article
Metrics
1001 Record Views
InCites Highlights
These are selected metrics from InCites Benchmarking & Analytics tool, related to this output
- Collaboration types
- Domestic collaboration
- International collaboration
- Web Of Science research areas
- Ecology
- Evolutionary Biology
- Genetics & Heredity
UN Sustainable Development Goals (SDGs)
This output has contributed to the advancement of the following goals:
Source: InCites