Literature DB >> 23410037

Connectivity planning to address climate change.

Tristan A Nuñez1, Joshua J Lawler, Brad H McRae, D John Pierce, Meade B Krosby, Darren M Kavanagh, Peter H Singleton, Joshua J Tewksbury.   

Abstract

As the climate changes, human land use may impede species from tracking areas with suitable climates. Maintaining connectivity between areas of different temperatures could allow organisms to move along temperature gradients and allow species to continue to occupy the same temperature space as the climate warms. We used a coarse-filter approach to identify broad corridors for movement between areas where human influence is low while simultaneously routing the corridors along present-day spatial gradients of temperature. We modified a cost-distance algorithm to model these corridors and tested the model with data on current land-use and climate patterns in the Pacific Northwest of the United States. The resulting maps identified a network of patches and corridors across which species may move as climates change. The corridors are likely to be robust to uncertainty in the magnitude and direction of future climate change because they are derived from gradients and land-use patterns. The assumptions we applied in our model simplified the stability of temperature gradients and species responses to climate change and land use, but the model is flexible enough to be tailored to specific regions by incorporating other climate variables or movement costs. When used at appropriate resolutions, our approach may be of value to local, regional, and continental conservation initiatives seeking to promote species movements in a changing climate. Planificación de Conectividad para Atender el Cambio Climático.
© 2013 Society for Conservation Biology.

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Year:  2013        PMID: 23410037     DOI: 10.1111/cobi.12014

Source DB:  PubMed          Journal:  Conserv Biol        ISSN: 0888-8892            Impact factor:   6.560


  22 in total

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2.  The development of Anthropocene biotas.

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3.  Potential Distribution of Mountain Cloud Forest in Michoacán, Mexico: Prioritization for Conservation in the Context of Landscape Connectivity.

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4.  How fragmentation and corridors affect wind dynamics and seed dispersal in open habitats.

Authors:  Ellen I Damschen; Dirk V Baker; Gil Bohrer; Ran Nathan; John L Orrock; Jay R Turner; Lars A Brudvig; Nick M Haddad; Douglas J Levey; Joshua J Tewksbury
Journal:  Proc Natl Acad Sci U S A       Date:  2014-02-24       Impact factor: 11.205

5.  Achieving climate connectivity in a fragmented landscape.

Authors:  Jenny L McGuire; Joshua J Lawler; Brad H McRae; Tristan A Nuñez; David M Theobald
Journal:  Proc Natl Acad Sci U S A       Date:  2016-06-13       Impact factor: 11.205

6.  Planning for climate change through additions to a national protected area network: implications for cost and configuration.

Authors:  Joshua J Lawler; D Scott Rinnan; Julia L Michalak; John C Withey; Christopher R Randels; Hugh P Possingham
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2020-01-27       Impact factor: 6.237

7.  Planning for the Maintenance of Floristic Diversity in the Face of Land Cover and Climate Change.

Authors:  Debbie Jewitt; Peter S Goodman; Barend F N Erasmus; Timothy G O'Connor; Ed T F Witkowski
Journal:  Environ Manage       Date:  2017-02-04       Impact factor: 3.266

8.  Comparing management strategies for conserving communities of climate-threatened species with a stochastic metacommunity model.

Authors:  Gregory A Backus; Yansong Huang; Marissa L Baskett
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2022-06-27       Impact factor: 6.671

9.  An individual-based modelling approach to estimate landscape connectivity for bighorn sheep (Ovis canadensis).

Authors:  Corrie H Allen; Lael Parrott; Catherine Kyle
Journal:  PeerJ       Date:  2016-05-05       Impact factor: 2.984

10.  Congruent morphological and genetic differentiation as a signature of range expansion in a fragmented landscape.

Authors:  Ronan Ledevin; Virginie Millien
Journal:  Ecol Evol       Date:  2013-09-25       Impact factor: 2.912

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