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Extinction risk from climate change

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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.

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Maximum entropy modeling of species geographic distributions

TL;DR: In this paper, the use of the maximum entropy method (Maxent) for modeling species geographic distributions with presence-only data was introduced, which is a general-purpose machine learning method with a simple and precise mathematical formulation.
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Predicting species distribution: offering more than simple habitat models.

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Modeling of species distributions with Maxent: new extensions and a comprehensive evaluation

TL;DR: This paper presents a tuning method that uses presence-only data for parameter tuning, and introduces several concepts that improve the predictive accuracy and running time of Maxent and describes a new logistic output format that gives an estimate of probability of presence.
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Rapid Range Shifts of Species Associated with High Levels of Climate Warming

TL;DR: A meta-analysis shows that species are shifting their distributions in response to climate change at an accelerating rate, and that the range shift of each species depends on multiple internal species traits and external drivers of change.
References
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Journal ArticleDOI

Assessing effects of forecasted climate change on the diversity and distribution of European higher plants for 2050

TL;DR: In reviewing possible future trends, it was found that plant species, in general, would find their current climate envelopes further northeast by 2050, shifting ranges that were comparable with those ranges in other studies.
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Climate change in Australian tropical rainforests: an impending environmental catastrophe

TL;DR: The impacts of global climate change in the tropical rainforests of northeastern Australia have the potential to result in many extinctions, and bioclimatic models of spatial distribution for the regionally endemic rainforest vertebrates are developed to predict the effects of climate warming on species distributions.
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Time Lag between Deforestation and Bird Extinction in Tropical Forest Fragments

TL;DR: In this paper, the authors used data on birds in five tropical forest frag- fents in Kakamega Forest, Kenya, of known date of isolation to predict the original and eventual species richness of these fragments and, from this difference, the eventual species losses.
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Assessing the vulnerability of species richness to anthropogenic climate change in a biodiversity hotspot

TL;DR: In this paper, the authors compared theoretical approaches towards estimating risks of plant species loss to anthropogenic climate change impacts in a biodiversity hotspot, and developed a practical method to detect signs of climate change impact on natural populations.
Journal ArticleDOI

How to kill (almost) all life: the end-Permian extinction event

TL;DR: The extinction model involves global warming by 6°C and huge input of light carbon into the ocean-atmosphere system from the eruptions, but especially from gas hydrates, leading to an ever-worsening positive-feedback loop, the ‘runaway greenhouse'.
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