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Journal ArticleDOI

Climate change and evolutionary adaptation

Ary A. Hoffmann, +1 more
- 24 Feb 2011 - 
- Vol. 470, Iss: 7335, pp 479-485
TLDR
The challenges to understand when evolution will occur and to identify potential evolutionary winners as well as losers, such as species lacking adaptive capacity living near physiological limits can be met through realistic models of evolutionary change linked to experimental data across a range of taxa.
Abstract
Evolutionary adaptation can be rapid and potentially help species counter stressful conditions or realize ecological opportunities arising from climate change. The challenges are to understand when evolution will occur and to identify potential evolutionary winners as well as losers, such as species lacking adaptive capacity living near physiological limits. Evolutionary processes also need to be incorporated into management programmes designed to minimize biodiversity loss under rapid climate change. These challenges can be met through realistic models of evolutionary change linked to experimental data across a range of taxa.

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Citations
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Journal ArticleDOI

Impacts of climate change on the future of biodiversity.

TL;DR: Overall, this review shows that current estimates of future biodiversity are very variable, depending on the method, taxonomic group, biodiversity loss metrics, spatial scales and time periods considered.
Journal ArticleDOI

Accelerating extinction risk from climate change

TL;DR: Estimating a global mean extinction rate was synthesized in order to determine which factors contribute the greatest uncertainty to climate change–induced extinction risks and suggest that extinction risks will accelerate with future global temperatures.
Journal ArticleDOI

Predicting organismal vulnerability to climate warming: roles of behaviour, physiology and adaptation

TL;DR: It is concluded that ectotherms sharing vulnerability traits seem concentrated in lowland tropical forests and their vulnerability may be exacerbated by negative biotic interactions, as genetic and selective data are scant.
Journal ArticleDOI

Scientists' Warning to Humanity: Microorganisms and Climate Change

Ricardo Cavicchioli, +34 more
TL;DR: This Consensus Statement documents the central role and global importance of microorganisms in climate change biology and puts humanity on notice that the impact of climate change will depend heavily on responses of micro organisms, which are essential for achieving an environmentally sustainable future.
Journal ArticleDOI

Declining body size: a third universal response to warming?

TL;DR: A review of recent studies shows heterogeneity in the magnitude and direction of size responses, exposing a need for large-scale phylogenetically controlled comparative analyses of temporal size change as mentioned in this paper, which will increase both understanding of the underlying mechanisms and physiological consequences of size shifts and therefore, the ability to predict the sensitivities of species to climate change.
References
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Journal ArticleDOI

A globally coherent fingerprint of climate change impacts across natural systems

TL;DR: A diagnostic fingerprint of temporal and spatial ‘sign-switching’ responses uniquely predicted by twentieth century climate trends is defined and generates ‘very high confidence’ (as laid down by the IPCC) that climate change is already affecting living systems.
Book

Genetics and Analysis of Quantitative Traits

Michael Lynch, +1 more
TL;DR: This book discusses the genetic Basis of Quantitative Variation, Properties of Distributions, Covariance, Regression, and Correlation, and Properties of Single Loci, and Sources of Genetic Variation for Multilocus Traits.
Journal ArticleDOI

Species Distribution Models: Ecological Explanation and Prediction Across Space and Time

TL;DR: Species distribution models (SDMs) as mentioned in this paper are numerical tools that combine observations of species occurrence or abundance with environmental estimates, and are used to gain ecological and evolutionary insights and to predict distributions across landscapes, sometimes requiring extrapolation in space and time.
Journal ArticleDOI

Physiology and Climate Change

TL;DR: Studies of physiological mechanisms are needed to predict climate effects on ecosystems at species and community levels and to help scientists understand the drivers of climate change.
Journal ArticleDOI

Mechanistic niche modelling: combining physiological and spatial data to predict species' ranges.

TL;DR: Here, the principles of biophysical ecology can be used to link spatial data to the physiological responses and constraints of organisms, which provides a mechanistic view of the fundamental niche which can then be mapped to the landscape to infer range constraints.
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