1
T homas et al. 1 have carried out a useful analysis of the extinction risk from climate warming. Their overall conclu- sion, that a large fraction of extant species could be driven to extinction by expected climate trends over the next 50 years, is compelling: it adds to the many other rea- sons why new energy policies are needed to reduce the pace of warming. There is one important reason, however, why Thomas et al. could be greatly under- estimating the threat to biodiversity from climate change: genetic adaptation to cli- mate at the population level. Thomas et al. 1 assume that if the future climate conditions at any particular location within the current range of a species fall outside the climate envelope determined for the entire species, then that location is no longer a suitable habitat for the species. Implicit is the assumption that all individuals within a species are adapted to the same climate envelope — an envelope determined from the current range of the species. But now consider a species comprising distinct populations that occupy a subset of ranges arrayed along a climate gradient. If each population can survive only within the relatively narrow climate envelope charac- terizing its current sub-range, then every individual within the species could suffer stress from climate change 2 . If the individu- als cannot migrate, then all individuals within the species would be at risk. By con- trast, if existing differential population- level adaptations to climate are ignored, as by Thomas et al., then individuals located towards the cooler end of the current range are unlikely to feel the stress of warming, whether they can migrate or not. The prevalence of such genetic adapta- tion to climate at the population level is unknown. Thomas et al. could be over- estimating extinction rates if evolutionary adaptation to climate change occurs in the future, lessening the effect of warming on species survival. But the longer generation times of macroscopic species will probably prevent adaptation rates from keeping pace with anthropogenic climate change. Thomas et al. use a species-level approach for estimating extinction under climate change, in contrast to the more traditional community-level approach that uses the species–area relationship (SAR). Although their methods find inspiration from the power-law form of the community-level SAR, instead of enforcing the SAR at the community level before and after climate change, they aggregate information on species-level range areas into an estimate of extinction for the community. This approach is based on the reasonable assump- tion that species differ in their response to the effects of climate change.However, their modifications of the classical community- level approach for estimating extinction use a common species-area exponent z for all species, which may not be justified. Species that are sparsely distributed within their climate envelope may be less likely to survive a given fractional change in range than species that are found throughout their cli- mate envelope. Deriving predictions for the community by applying z to all species can yield poor results 3 . Species differences in the proportional change to their distributional area also arise under land-use change. If the species-level methods of Thomas et al. were used to esti- mate extinctions from land-use change, they would yield different estimates from the traditionally used community-level SAR. As noted by Thomas et al., more work is needed to understand how extinction risk for a given species depends on its reduction in range area. Estimation methods that involve the application of the SAR (or SAR-inspired species-level equations) to regions with holes or fragmentation typically ignore the confounding effects of shape in the depen- dence of species richness on area 4 and, for brief communications arising NATURE | 1 JULY 2004 | www.nature.com/nature this reason, may be inaccurate. An alterna- tive estimation method that could be more accurate in some circumstances demon- strates the degree to which shape influences the expected number of extinctions. This relies on the endemics–area relationship (EAR), which quantifies how the number of species spatially confined to a habitat patch depends on the area of that patch 3,5,6 . Where the SAR approach asks how many species are present in the remaining habitat, the EAR approach asks how many species are lost because those species were initially pre- sent only in the lost habitat. If shape did not influence either, these methods would yield identical results. However, because it does, EAR can yield significantly different answers from the SAR method, depending on the shape and fragmentation of the lost and remaining habitat 5,6 . Sorting out where the accurate estimate falls between the EAR and SAR estimates requires as-yet unavailable knowledge of how large-scale geographic patterns of diversity depend on shape and fragmentation. Thomas et al. have focused attention on an important issue. The challenge is to improve our understanding of population genetics and climate tolerance within species, as well as to find the most reliable way to use spatial patterns of diversity and species-level changes in range area for generating esti- mates of species loss under climate change. John Harte*, Annette Ostling*, Jessica L. Green†, Ann Kinzig‡ *Energy and Resources Group, University of California, Berkeley, California 94720, USA e-mail: [email protected] School of Natural Sciences, University of California, Merced, PO Box 2039, California 95344, USA Department of Biology, Arizona State University, PO Box 871501, Tempe, Arizona 85287-1501, USA doi:10.1038/nature02718 1. Thomas, C. D. et al. Nature 427, 145–148 (2003). 2. Jensen, D. Thesis, Univ. California, Berkeley (1993). 3. Green, J. L., Harte, J. & Ostling, A. Ecol. Lett. 6, 919–928 (2003). 4. Kunin, W. E. Biol. Cons. 82, 369–377 (1997). 5. Kinzig, A. & Harte, J. Ecology 81, 3305–3311 (2000). 6. Green, J. L., Harte, J. & Ostling, A. in Biotic Homogenization (eds Lockwood, J. L. &. McKinney, M. L.) 179–200 (Kluwer Academic, New York, 2001). Reply: Thomas et al. reply to this communication (doi:10.1038/nature02719). Biodiversity conservation Climate change and extinction risk Arising from: C. D. Thomas et al. Nature 427, 145–148 (2004) ©2004 Nature Publishing Group

Biodiversity conservation: Climate change and extinction risk

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Page 1: Biodiversity conservation: Climate change and extinction risk

Thomas et al.1 have carried out a usefulanalysis of the extinction risk from climate warming. Their overall conclu-

sion, that a large fraction of extant speciescould be driven to extinction by expectedclimate trends over the next 50 years, iscompelling: it adds to the many other rea-sons why new energy policies are needed toreduce the pace of warming.

There is one important reason, however,why Thomas et al. could be greatly under-estimating the threat to biodiversity from climate change: genetic adaptation to cli-mate at the population level. Thomas et al.1

assume that if the future climate conditionsat any particular location within the currentrange of a species fall outside the climateenvelope determined for the entire species,then that location is no longer a suitablehabitat for the species. Implicit is theassumption that all individuals within aspecies are adapted to the same climate envelope — an envelope determined fromthe current range of the species.

But now consider a species comprisingdistinct populations that occupy a subset ofranges arrayed along a climate gradient. Ifeach population can survive only within therelatively narrow climate envelope charac-terizing its current sub-range, then everyindividual within the species could sufferstress from climate change2. If the individu-als cannot migrate, then all individualswithin the species would be at risk. By con-trast, if existing differential population-level adaptations to climate are ignored, asby Thomas et al., then individuals locatedtowards the cooler end of the current rangeare unlikely to feel the stress of warming,whether they can migrate or not.

The prevalence of such genetic adapta-tion to climate at the population level isunknown. Thomas et al. could be over-estimating extinction rates if evolutionaryadaptation to climate change occurs in thefuture, lessening the effect of warming on

species survival. But the longer generationtimes of macroscopic species will probablyprevent adaptation rates from keeping pacewith anthropogenic climate change.

Thomas et al. use a species-level approachfor estimating extinction under climatechange, in contrast to the more traditionalcommunity-level approach that uses thespecies–area relationship (SAR). Althoughtheir methods find inspiration from thepower-law form of the community-levelSAR, instead of enforcing the SAR at thecommunity level before and after climatechange, they aggregate information onspecies-level range areas into an estimate of extinction for the community. Thisapproach is based on the reasonable assump-tion that species differ in their response tothe effects of climate change. However, theirmodifications of the classical community-level approach for estimating extinction usea common species-area exponent z for allspecies, which may not be justified. Speciesthat are sparsely distributed within their climate envelope may be less likely to survivea given fractional change in range thanspecies that are found throughout their cli-mate envelope. Deriving predictions for thecommunity by applying z to all species canyield poor results3.

Species differences in the proportionalchange to their distributional area also ariseunder land-use change. If the species-levelmethods of Thomas et al. were used to esti-mate extinctions from land-use change, theywould yield different estimates from the traditionally used community-level SAR. Asnoted by Thomas et al., more work is neededto understand how extinction risk for a givenspecies depends on its reduction in range area.

Estimation methods that involve theapplication of the SAR (or SAR-inspiredspecies-level equations) to regions withholes or fragmentation typically ignore theconfounding effects of shape in the depen-dence of species richness on area4 and, for

brief communications arising

NATURE | 1 JULY 2004 | www.nature.com/nature

this reason, may be inaccurate. An alterna-tive estimation method that could be moreaccurate in some circumstances demon-strates the degree to which shape influencesthe expected number of extinctions. Thisrelies on the endemics–area relationship(EAR), which quantifies how the numberof species spatially confined to a habitatpatch depends on the area of that patch3,5,6.

Where the SAR approach asks how manyspecies are present in the remaining habitat,the EAR approach asks how many species arelost because those species were initially pre-sent only in the lost habitat. If shape did notinfluence either, these methods would yieldidentical results. However, because it does,EAR can yield significantly different answersfrom the SAR method, depending on theshape and fragmentation of the lost andremaining habitat5,6. Sorting out where theaccurate estimate falls between the EAR andSAR estimates requires as-yet unavailableknowledge of how large-scale geographicpatterns of diversity depend on shape andfragmentation.

Thomas et al. have focused attention on an important issue. The challenge is toimprove our understanding of populationgenetics and climate tolerance within species,as well as to find the most reliable way to usespatial patterns of diversity and species-levelchanges in range area for generating esti-mates of species loss under climate change.John Harte*, Annette Ostling*,Jessica L. Green†, Ann Kinzig‡*Energy and Resources Group, University ofCalifornia, Berkeley, California 94720, USA e-mail: [email protected]†School of Natural Sciences, University of California,Merced, PO Box 2039, California 95344, USA‡Department of Biology, Arizona State University,PO Box 871501, Tempe, Arizona 85287-1501, USAdoi:10.1038/nature027181. Thomas, C. D. et al. Nature 427, 145–148 (2003).

2. Jensen, D. Thesis, Univ. California, Berkeley (1993).

3. Green, J. L., Harte, J. & Ostling, A. Ecol. Lett. 6, 919–928 (2003).

4. Kunin, W. E. Biol. Cons. 82, 369–377 (1997).

5. Kinzig, A. & Harte, J. Ecology 81, 3305–3311 (2000).

6. Green, J. L., Harte, J. & Ostling, A. in Biotic Homogenization

(eds Lockwood, J. L. &. McKinney, M. L.) 179–200

(Kluwer Academic, New York, 2001).

Reply: Thomas et al. reply to this communication

(doi:10.1038/nature02719).

Biodiversity conservation

Climate change and extinction riskArising from: C. D. Thomas et al. Nature 427, 145–148 (2004)

© 2004 Nature Publishing Group