Literature DB >> 25310933

Velocity of climate change algorithms for guiding conservation and management.

Andreas Hamann1, David R Roberts, Quinn E Barber, Carlos Carroll, Scott E Nielsen.   

Abstract

The velocity of climate change is an elegant analytical concept that can be used to evaluate the exposure of organisms to climate change. In essence, one divides the rate of climate change by the rate of spatial climate variability to obtain a speed at which species must migrate over the surface of the earth to maintain constant climate conditions. However, to apply the algorithm for conservation and management purposes, additional information is needed to improve realism at local scales. For example, destination information is needed to ensure that vectors describing speed and direction of required migration do not point toward a climatic cul-de-sac by pointing beyond mountain tops. Here, we present an analytical approach that conforms to standard velocity algorithms if climate equivalents are nearby. Otherwise, the algorithm extends the search for climate refugia, which can be expanded to search for multivariate climate matches. With source and destination information available, forward and backward velocities can be calculated allowing useful inferences about conservation of species (present-to-future velocities) and management of species populations (future-to-present velocities).
© 2014 The Authors. Global Change Biology Published by John Wiley & Sons Ltd.

Keywords:  assisted migration; climate change adaptation; climate change vulnerability; conservation; no-analogue climates

Mesh:

Year:  2014        PMID: 25310933     DOI: 10.1111/gcb.12736

Source DB:  PubMed          Journal:  Glob Chang Biol        ISSN: 1354-1013            Impact factor:   10.863


  15 in total

1.  Differing climatic mechanisms control transient and accumulated vegetation novelty in Europe and eastern North America.

Authors:  Kevin D Burke; John W Williams; Simon Brewer; Walter Finsinger; Thomas Giesecke; David J Lorenz; Alejandro Ordonez
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2019-11-04       Impact factor: 6.237

2.  Biotic and Climatic Velocity Identify Contrasting Areas of Vulnerability to Climate Change.

Authors:  Carlos Carroll; Joshua J Lawler; David R Roberts; Andreas Hamann
Journal:  PLoS One       Date:  2015-10-14       Impact factor: 3.240

3.  Climate change velocity underestimates climate change exposure in mountainous regions.

Authors:  Solomon Z Dobrowski; Sean A Parks
Journal:  Nat Commun       Date:  2016-08-01       Impact factor: 14.919

4.  Locally Downscaled and Spatially Customizable Climate Data for Historical and Future Periods for North America.

Authors:  Tongli Wang; Andreas Hamann; Dave Spittlehouse; Carlos Carroll
Journal:  PLoS One       Date:  2016-06-08       Impact factor: 3.240

Review 5.  Time to get moving: assisted gene flow of forest trees.

Authors:  Sally N Aitken; Jordan B Bemmels
Journal:  Evol Appl       Date:  2015-08-24       Impact factor: 5.183

6.  Integrating effects of species composition and soil properties to predict shifts in montane forest carbon-water relations.

Authors:  Toby M Maxwell; Lucas C R Silva; William R Horwath
Journal:  Proc Natl Acad Sci U S A       Date:  2018-04-16       Impact factor: 11.205

7.  Temperature-Driven Biodiversity Change: Disentangling Space and Time.

Authors:  Conor Waldock; Maria Dornelas; Amanda E Bates
Journal:  Bioscience       Date:  2018-09-19       Impact factor: 8.589

8.  Climate change and climate change velocity analysis across Germany.

Authors:  A Kosanic; I Kavcic; M van Kleunen; S Harrison
Journal:  Sci Rep       Date:  2019-02-18       Impact factor: 4.379

9.  Predicted climate shifts within terrestrial protected areas worldwide.

Authors:  Samuel Hoffmann; Severin D H Irl; Carl Beierkuhnlein
Journal:  Nat Commun       Date:  2019-10-21       Impact factor: 14.919

10.  Fine-grained climate velocities reveal vulnerability of protected areas to climate change.

Authors:  Risto K Heikkinen; Niko Leikola; Juha Aalto; Kaisu Aapala; Saija Kuusela; Miska Luoto; Raimo Virkkala
Journal:  Sci Rep       Date:  2020-02-03       Impact factor: 4.379

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