Extinction risk from climate change
Chris D. Thomas,Alison Cameron,Rhys E. Green,Rhys E. Green,Michel Bakkenes,Linda J. Beaumont,Yvonne C. Collingham,Barend F.N. Erasmus,Marinez Ferreira de Siqueira,Alan Grainger,Lee Hannah,Lesley Hughes,Brian Huntley,Albert S. van Jaarsveld,Guy F. Midgley,Lera Miles,Lera Miles,Miguel A. Ortega-Huerta,A. Townsend Peterson,Oliver L. Phillips,Stephen E. Williams +20 more
TLDR
Estimates of extinction risks for sample regions that cover some 20% of the Earth's terrestrial surface show the importance of rapid implementation of technologies to decrease greenhouse gas emissions and strategies for carbon sequestration.Abstract:
Climate change over the past approximately 30 years has produced numerous shifts in the distributions and abundances of species and has been implicated in one species-level extinction. Using projections of species' distributions for future climate scenarios, we assess extinction risks for sample regions that cover some 20% of the Earth's terrestrial surface. Exploring three approaches in which the estimated probability of extinction shows a power-law relationship with geographical range size, we predict, on the basis of mid-range climate-warming scenarios for 2050, that 15-37% of species in our sample of regions and taxa will be 'committed to extinction'. When the average of the three methods and two dispersal scenarios is taken, minimal climate-warming scenarios produce lower projections of species committed to extinction ( approximately 18%) than mid-range ( approximately 24%) and maximum-change ( approximately 35%) scenarios. These estimates show the importance of rapid implementation of technologies to decrease greenhouse gas emissions and strategies for carbon sequestration.read more
Citations
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Effects of climate warming on host–parasitoid interactions
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Monetary valuation of the social cost of CO2 emissions : A critical survey
TL;DR: In this article, the authors present a critical review of the reported SCC estimates by examining some neglected consequences of climate change, uncertain and extreme scenarios of climate changes, the discounting of future climate change effects, the treatment of individual risk aversion, and assumptions about social welfare.
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CO2-EOR and storage design optimization
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A dynamic eco-evolutionary model predicts slow response of alpine plants to climate warming
Olivier Cotto,Johannes Wessely,Damien Georges,Günther Klonner,Max Schmid,Stefan Dullinger,Wilfried Thuiller,Frédéric Guillaume +7 more
TL;DR: An eco-evolutionary forecasting framework that combines niche modelling with individual-based demographic and genetic simulations is presented that applies to four endemic perennial plant species of the Austrian Alps, showing that accounting for eco-Evolutionary dynamics when predicting species' responses to climate change is crucial.
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The state of plant population modelling in light of environmental change
TL;DR: It is suggested that a critical element limiting the current application of plant population modelling in environmental research is the trade-off between the necessary resolution and detail required to accurately characterize ecological dynamics pitted against the goal of generality, particularly at broad spatial scales.
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