Access
To read this story in full you will need to login or make a payment (see right).
Brief Communications Arising
Nature 430, (1 July 2004) | doi:10.1038/nature02716
Open Innovation Challenges
-
Methods of Modeling Adaptation in Populations
The analysis of adaptation with a population is a frequently encountered computational modeling scen...
-
Optimizing Sub-cellular Localization Tags
The Seeker is looking for methods to optimize sub-cellular localization tags for protein expression....
nature jobs
Molecular Diagnostic Pathologist
- Tulane University Health Sciences Center
- Tulane, Louisiana, USA
Senior Executive- Finance Corporate Office
- Rhydburg Pharmaceuticals
- Selaqui-Dehradun India
Biodiversity conservation: Uncertainty in predictions of extinction risk
Wilfried Thuiller1,2, Miguel B. Araújo3, Richard G. Pearson3, Robert J. Whittaker3, Lluís Brotons1 & Sandra Lavorel4
Abstract
Arising from: C. D. Thomas et al. Nature 427, 145–148 (2004); see also communication from Buckley & Roughgarden and communication from Harte et al.;Thomas et al. reply
Thomas et al.1 model species-distribution responses to a range of climate-warming scenarios and use a novel application of the species–area relationship to estimate that 15–37% of modelled species in various regions of the world will be committed to extinction by 2050. Although we acknowledge the efforts that they make to measure the uncertainties associated with different climate scenarios, species' dispersal abilities and z values (predictions ranged from 5.6% to 78.6% extinctions), we find that two additional sources of uncertainty may substantially increase the variability in predictions.
To read this story in full you will need to login or make a payment (see right).
MORE ARTICLES LIKE THIS
These links to content published by NPG are automatically generated.
RESEARCH
Comparison of two different DMA-binding modes of the NF-κB p50 homodimerNature Structural Biology Correspondence (01 Mar 1996)

