Bringing indices of species vulnerability to climate change into geographic space: an assessment across the Coronado national forest

2011 ◽  
Vol 21 (1) ◽  
pp. 189-204 ◽  
Author(s):  
Jennifer E. Davison ◽  
Sharon Coe ◽  
Deborah Finch ◽  
Erika Rowland ◽  
Megan Friggens ◽  
...  
Keyword(s):  
Climate Change ◽  
National Forest ◽  
Geographic Space ◽  
Species Vulnerability ◽  
Vulnerability To Climate Change

Reflections on a seminal paper in conservation biology: the legacy of Peters and Darling (1985)

2018 ◽  
Vol 24 (3) ◽  
pp. 267
Author(s):  
Lesley Hughes
Keyword(s):  
Climate Change ◽  
Conservation Biology ◽  
Extinction Risk ◽  
Logical Framework ◽  
Natural Ecosystems ◽  
Seminal Paper ◽  
Species Vulnerability ◽  
Vulnerability To Climate Change ◽  
Species Translocation ◽  
Rapid Environmental Change

‘The Greenhouse Effect and Nature Reserves’ by Robert Peters and Joan Darling, published in the journal Bioscience more than 30 years ago, was a ground-breaking synthesis. Drawing on paleoecology, community ecology and biogeography, the review laid out many concepts about species vulnerability to climate change that have become central tenets of research on climate change adaptation in natural ecosystems. Remarkably, the paper also provided a clear and logical framework for flexible, forward-thinking and interventionist management action, including recommendations about the design of protected areas, and the need for species translocation to reduce extinction risk. Reflecting on the legacy of this paper, it is clear that the uptake of such approaches over the intervening decades has been extremely slow, representing many lost opportunities to reduce species vulnerability to rapid environmental change. This paper is a tribute to the prescience of Peters and Darling, and a call to revisit their farsighted advice to meet conservation challenges that continue to accelerate.

scholarly journals Species vulnerability to climate change: impacts on spatial conservation priorities and species representation

2012 ◽  
Vol 18 (10) ◽  
pp. 3268-3268 ◽  
Author(s):  
David M. Summers ◽  
Brett A. Bryan ◽  
Neville D. Crossman ◽  
Wayne S. Meyer
Keyword(s):  
Climate Change ◽  
Climate Change Impacts ◽  
Conservation Priorities ◽  
Species Vulnerability ◽  
Vulnerability To Climate Change

Identifying priority areas for reducing species vulnerability to climate change

2011 ◽  
Vol 18 (1) ◽  
pp. 60-72 ◽  
Author(s):  
Neville D. Crossman ◽  
Brett A. Bryan ◽  
David M Summers
Keyword(s):  
Climate Change ◽  
Priority Areas ◽  
Species Vulnerability ◽  
Vulnerability To Climate Change

scholarly journals Thermal sensitivity in dual‐breathing ectotherms: Embryos and mothers determine species' vulnerability to climate change

2021 ◽  
Author(s):  
Lyle D. Vorsatz ◽  
Bruce P. Mostert ◽  
Christopher D. McQuaid ◽  
Stefano Cannicci ◽  
Francesca Porri
Keyword(s):  
Climate Change ◽  
Thermal Sensitivity ◽  
Species Vulnerability ◽  
Vulnerability To Climate Change

scholarly journals Habitat associations drive species vulnerability to climate change in boreal forests

2016 ◽  
Vol 135 (3-4) ◽  
pp. 585-595 ◽  
Author(s):  
Adriano Mazziotta ◽  
María Triviño ◽  
Olli-Pekka Tikkanen ◽  
Jari Kouki ◽  
Harri Strandman ◽  
...  
Keyword(s):  
Climate Change ◽  
Boreal Forests ◽  
Habitat Associations ◽  
Species Vulnerability ◽  
Vulnerability To Climate Change

scholarly journals Vulnerability to climate change for narrowly ranged species: the case of Ecuadorian endemic Magnolia mercedesiarum

2018 ◽  
Author(s):  
V. Shalisko ◽  
J. A. Vázquez-García ◽  
A. R. Villalobos-Arámbula ◽  
M. A. Muñiz-Castro
Keyword(s):  
Climate Change ◽  
Species Distribution ◽  
Environmental Conditions ◽  
Habitat Suitability ◽  
Distribution Area ◽  
Emission Scenarios ◽  
Niche Modelling ◽  
Species Vulnerability ◽  
Vulnerability To Climate Change ◽  
Current Species

AbstractSpecies vulnerability to climate change has been inferred using species distribution models from an example of the recently discovered Magnolia mercedesiarum (sect. Talauma, Magnoliaceae), a narrowly ranged species endemic to moist tropical forests in the eastern Ecuadorian Andes. The environmental conditions within the current species distribution area has been compared with conditions projected to 2050 and 2070, using data from the HadGEM2-ES model in two CO2 emission scenarios: RCP4.5 and RCP8.5. The ecological niche modelling allowed determination of parameters of climatic environmental conditions that control current species distribution to produce a hypothesis on probable changes in spatial pattern of suitable habitats in future scenarios. Within the current species distribution area of M. mercedesiarum, significant reduction of habitat suitability was projected for both emission scenarios, combined with a lack of nearby areas with adequate environmental conditions. Several disjunct sites of high habitat suitability were found to emerge in the Colombian Andes, but they seem unreachable by this tree species in the scope of a few decades, due to intrinsic dispersal limitations. The reduction of habitat suitability and improbability of distribution area shift to adjacent geographic locations could mean a high species vulnerability to climate change. The species could be at risk of extinction if it does not possess hidden phenotypical plasticity and potential for fast adaptation to climate change.

scholarly journals Stepping inside the niche: microclimate data are critical for accurate assessment of species' vulnerability to climate change

2014 ◽  
Vol 10 (9) ◽  
pp. 20140576 ◽  
Author(s):  
Collin Storlie ◽  
Andres Merino-Viteri ◽  
Ben Phillips ◽  
Jeremy VanDerWal ◽  
Justin Welbergen ◽  
...  
Keyword(s):  
Climate Change ◽  
Statistical Downscaling ◽  
Environmental Data ◽  
Weather Data ◽  
Daily Maximum ◽  
Biologically Relevant ◽  
Species Vulnerability ◽  
Vulnerability To Climate Change ◽  
Thermal Regimes ◽  
Maximum Temperatures

To assess a species' vulnerability to climate change, we commonly use mapped environmental data that are coarsely resolved in time and space. Coarsely resolved temperature data are typically inaccurate at predicting temperatures in microhabitats used by an organism and may also exhibit spatial bias in topographically complex areas. One consequence of these inaccuracies is that coarsely resolved layers may predict thermal regimes at a site that exceed species' known thermal limits. In this study, we use statistical downscaling to account for environmental factors and develop high-resolution estimates of daily maximum temperatures for a 36 000 km 2 study area over a 38-year period. We then demonstrate that this statistical downscaling provides temperature estimates that consistently place focal species within their fundamental thermal niche, whereas coarsely resolved layers do not. Our results highlight the need for incorporation of fine-scale weather data into species' vulnerability analyses and demonstrate that a statistical downscaling approach can yield biologically relevant estimates of thermal regimes.

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