Using species distribution models to select species resistant to climate change for ecological restoration ofbowéin West Africa

2015 ◽  
Vol 53 (1) ◽  
pp. 83-92 ◽  
Author(s):  
Elie A. Padonou ◽  
Oscar Teka ◽  
Yvonne Bachmann ◽  
Marco Schmidt ◽  
Anne Mette Lykke ◽  
...  
Keyword(s):  
Climate Change ◽  
West Africa ◽  
Ecological Restoration ◽  
Species Distribution ◽  
Species Distribution Models ◽  
Distribution Models

Combining conservation status and species distribution models for planning assisted colonisation under climate change

2021 ◽  
Author(s):  
Gabriele Casazza ◽  
Thomas Abeli ◽  
Gianluigi Bacchetta ◽  
Davide Dagnino ◽  
Giuseppe Fenu ◽  
...  
Keyword(s):  
Climate Change ◽  
Species Distribution ◽  
Species Distribution Models ◽  
Conservation Status ◽  
Distribution Models

Addressing potential local adaptation in species distribution models: implications for conservation under climate change

2015 ◽  
Author(s):  
Maria Helena Hällfors ◽  
Jishan Liao ◽  
Jason D. K. Dzurisin ◽  
Ralph Grundel ◽  
Marko Hyvärinen ◽  
...  
Keyword(s):  
Climate Change ◽  
Local Adaptation ◽  
Species Distribution ◽  
Species Distribution Models ◽  
Distribution Models

scholarly journals Using species distribution models to infer potential climate change-induced range shifts of freshwater fish in south-eastern Australia

2011 ◽  
Vol 62 (9) ◽  
pp. 1043 ◽  
Author(s):  
Nick Bond ◽  
Jim Thomson ◽  
Paul Reich ◽  
Janet Stein
Keyword(s):  
Climate Change ◽  
Freshwater Fish ◽  
Species Distribution ◽  
Climate Change Scenario ◽  
Species Distribution Models ◽  
Range Shifts ◽  
Future Climate Change ◽  
Change Scenario ◽  
Climate Change Scenarios ◽  
Distribution Models

There are few quantitative predictions for the impacts of climate change on freshwater fish in Australia. We developed species distribution models (SDMs) linking historical fish distributions for 43 species from Victorian streams to a suite of hydro-climatic and catchment predictors, and applied these models to explore predicted range shifts under future climate-change scenarios. Here, we present summary results for the 43 species, together with a more detailed analysis for a subset of species with distinct distributions in relation to temperature and hydrology. Range shifts increased from the lower to upper climate-change scenarios, with most species predicted to undergo some degree of range shift. Changes in total occupancy ranged from –38% to +63% under the lower climate-change scenario to –47% to +182% under the upper climate-change scenario. We do, however, caution that range expansions are more putative than range contractions, because the effects of barriers, limited dispersal and potential life-history factors are likely to exclude some areas from being colonised. As well as potentially informing more mechanistic modelling approaches, quantitative predictions such as these should be seen as representing hypotheses to be tested and discussed, and should be valuable for informing long-term strategies to protect aquatic biota.

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