Volume 35 Issue 4
Jul.  2014
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You-Hua CHEN. Ecological predictors of extinction risks of endemic mammals of China. Zoological Research, 2014, 35(4): 346-349. doi: 10.13918/j.issn.2095-8137.2014.4.346
Citation: You-Hua CHEN. Ecological predictors of extinction risks of endemic mammals of China. Zoological Research, 2014, 35(4): 346-349. doi: 10.13918/j.issn.2095-8137.2014.4.346

Ecological predictors of extinction risks of endemic mammals of China

doi: 10.13918/j.issn.2095-8137.2014.4.346
  • Received Date: 2013-08-05
  • Rev Recd Date: 2014-02-28
  • Publish Date: 2014-07-08
  • In this brief report, we analyzed ecological correlates of risk of extinction for mammals endemic to China using phylogenetic eigenvector methods to control for the effect of phylogenetic inertia. Extinction risks were based on the International Union for Conservation of Nature (IUCN) Red List and ecological explanatory attributes that include range size and climatic variables. When the effect of phylogenetic inertia were controlled, climate became the best predictor for quantifying and evaluating extinction risks of endemic mammals in China, accounting for 13% of the total variation. Range size seems to play a trivial role, explaining ~1% of total variation; however, when non-phylogenetic variation partitioning analysis was done, the role of range size then explained 7.4% of total variation. Consequently, phylogenetic inertia plays a substantial role in increasing the explanatory power of range size on the extinction risks of mammals endemic to China. Limitations of the present study are discussed, with a focus on under-represented sampling of endemic mammalian species.
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  • [1] Bininda-Emonds O, Cardillo M, Jones K, MacPhee R, Beck R, Grenyer
    [2] R, Price S, Vos A, Gittleman J, Purivs A. 2007. The delayed rise of
    [3] present-day mammals. Nature, 446(7135): 507-512.
    [4] Blomberg SP, Garland T Jr, Ives AR. 2003. Testing for phylogenetic signal in comparative data: behavioral traits are more labile. Evolution, 57(4): 717-745.
    [5] Blomberg S, Lfevre J, Wells A, Wterhouse M. 2012. Independent contrasts and PGLS regression estimators are equivalent. Systematic Biology, 61(3): 382-391.
    [6] Cardillo M, Bromham L. 2001. Body size and risk of extinction in Australian mammals. Conservation Biolog y, 15(5): 1435-1440.
    [7] Cardillo M, Mace GM, Gittleman JL, Jones KE, Bielby J, Purvis A. 2008. The predictability of extinction: biological and external correlates of decline in mammals. Proceedings of the Royal Society B: Biological Sciences, 275(1641): 1441-1448.
    [8] Cardillo M, Mace G, Gittleman J, Purvis A. 2006. Latent extinction risk and the future battlegrounds of mammal conservation. Proceedings of the National Academy of Sciences of the United States of America, 103(11): 4157-4161.
    [9] Cardillo M, Mace GM, Jones KE, Bielby J, Bininda-Emonds ORP, Sechrest W, Orme CD, Purvis A. 2005. Multiple causes of high extinction risk in large mammal species. Sci ence, 309(5738): 1239-1241.
    [10] Cardillo M, Purvis A, Sechrest W, Gittleman J, Bielby J, Mace G. 2004. Human population density and extinction risk in the World's carnivores. PLoS Biolo gy, 2(7): e197.
    [11] Carrascal L, Seoane J, Palomino D, Polo V. 2008. Explanations for bird species range size: ecological correlates and phylogenetic effects in the Canary Islands. Journal of Biogeography, 35(11): 2061-2073.
    [12] Cooper N, Bielby J, Thomas GH, Purvis A. 2008. Macroecology and extinction risk correlates of frogs. Global Ecology and Biogeograp hy, 17(2): 211-221.
    [13] Diniz-Filho JAF, de Sant'Ana CER, Bini LM. 1998. An eigenvector method for estimating phylogenetic inertia. Evoluti on, 52(5): 1247-1262.
    [14] Diniz-Filho JAF, Cianciaruso MV, Rangel TF, Bini LM. 2011. Eigenvector estimation of phylogenetic and functional diversity. Functional Ecolog y, 25(4): 735-744.
    [15] Diniz-Filho JAF, Rangel TF, Santos T, Bini LM. 2012a. Exploring patterns of interspecific variation in quantitative traits using sequential phylogenetic eigenvector regressions. Evolut ion, 66(4): 1079-1090.
    [16] Diniz-Filho JAF, Santos T, Rangel TF, Bini LM. 2012b. A comparison of metrics for estimating phylogenetic signal under alternative evolutionary models. Genetics and Molecular Biolog y, 35(3): 673-679.
    [17] Diniz-Filho JAF, Bii LM, Rangel TF, Morales-Castilla I, Olalla-Tárraga MÁ, Rodríguez MÁ, Hawkins BA. 2012c. On the selection of phylogenetic eigenvectors for ecological analyses. Ecograp hy, 35(3): 239-249.
    [18] Halley J, Iwasa Y. 2011. Neutral theory as a predictor of avifaunal extinctions after habitat loss. Proceedings of the National Academy of Sciences of the United States of America, 108(6): 2316-2321.
    [19] Hanna E, Cardillo M. 2013. A comparison of current and reconstructed historic geographic range sizes as predictors of extinction risk in Australian mammals. Biological Conservati on, 158: 196-204.
    [20] Harris G, Pimm S. 2008. Range size and extinction risk in forest birds. Conservation Biolog y, 22(1): 163-171.
    [21] He FL. 2012. Area-based assessment of extinction risk. Ecolog y, 93(5): 974-980.
    [22] Inglis WG. 1988. Cladogenesis and anagenesis: a confusion of synapomorphies. Journal of Zoological Systematics and Evolutionary Research, 26(1): 1-11.
    [23] Jones KE, Bielby J, Cardillo M, Fritz SA, O'Dell J, Orme CDL, Safi K, Schrest W, Boakes EH, Carbone C, Connolly C, Cutts MJ, Foster JK, Grenyer R, Habib M, Plaster CA, Price SA, Rigby EA, Rist J, Teacher A, Bininda-Emonds ORP, Gittleman JL, Mace GM, Purvis A, Michener WK. 2009. PanTHERIA: a species-level database of life history, ecology and geogrpahy of extant and recently extinct mammals. Ecolog y, 90(9): 2648.
    [24] Keane A, de Brooke ML, McGowan PJK. 2005. Correlates of extinction risk and hunting pressure in gamebirds (Galliformes). Biological Conservatio n, 126(2): 216-233.
    [25] Kong WY, Zheng ZH, Wu JC, Ning Y, Wang Y, Han XD. 2013. Foraging habitat selection of Siberian Crane (Grus leucogeranus) during autumn migration period in the Momoge Nature Reserve. Zoological Researc h, 34(3): 166-173. (in Chinese)
    [26] Kuhn I, Nobis MP, Durka W. 2009. Combining spatial and phylogenetic eigenvector filtering in trait analysis. Global Ecology and Biogeograph y, 18(6): 745-758.
    [27] Legendre P, Legendre L. 1998. Numerical Ecology. Amsterdam: Elsevier Science BV.
    [28] Legendre S, Schoener T, Clobert J, Spiller D. 2008. How is extinction risk related to population-size variability over time? A family of models for species with repeated extinction and immigration. The American Naturalist, 172(2): 282-298.
    [29] Li G, Jones G, Rossiter SJ, Chen SF, Parsons S, Zhang S. 2006. Phylogenetic of small horseshoe bats from east Asia based on mitochondrial DNA sequence variation. Journal of Mammalogy, 87(6): 1234-1240.
    [30] Morales-Castilla I, Rodriguez MÁ, Hawkins BA. 2012. Deep phylogeny, net primary productivity, and global body size gradient in birds. Biological Journal of the Linnean Society, 106(4): 880-892.
    [31] Pagel M. 1999. Inferring the historical patterns of biological evolution. Nature, 401(6756): 877-884.
    [32] Reynolds JD, Webb TJ, Hawkins LA. 2005. Life history and ecological correlates of extinction risk in European freshwater fishes. Canadian Journal of Fisheries and Aquatic Sciences, 62(4): 854-862.
    [33] Seger GDS, Duarte LDS, Debastiani VJ, Kindel A, Karenkow JA. 2013. Discriminating the effects of phylogenetic hypothesis, tree resolution and clade age estimates on phylogenetic signal measurements. Plant Biolog y, 15(5): 858-867.
    [34] Smith AT, Xie Y. 2008. A Guide to the Mammals of China. Princeton, USA: Princeton University Press,.
    [35] Wang YX. 2003. A Complete Checklist of Mammal Species and Subspecies in China: A Taxonomic and Geographic Reference. Beijing: China Forestry Press. (in Chinese)
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Ecological predictors of extinction risks of endemic mammals of China

doi: 10.13918/j.issn.2095-8137.2014.4.346

Abstract: In this brief report, we analyzed ecological correlates of risk of extinction for mammals endemic to China using phylogenetic eigenvector methods to control for the effect of phylogenetic inertia. Extinction risks were based on the International Union for Conservation of Nature (IUCN) Red List and ecological explanatory attributes that include range size and climatic variables. When the effect of phylogenetic inertia were controlled, climate became the best predictor for quantifying and evaluating extinction risks of endemic mammals in China, accounting for 13% of the total variation. Range size seems to play a trivial role, explaining ~1% of total variation; however, when non-phylogenetic variation partitioning analysis was done, the role of range size then explained 7.4% of total variation. Consequently, phylogenetic inertia plays a substantial role in increasing the explanatory power of range size on the extinction risks of mammals endemic to China. Limitations of the present study are discussed, with a focus on under-represented sampling of endemic mammalian species.

You-Hua CHEN. Ecological predictors of extinction risks of endemic mammals of China. Zoological Research, 2014, 35(4): 346-349. doi: 10.13918/j.issn.2095-8137.2014.4.346
Citation: You-Hua CHEN. Ecological predictors of extinction risks of endemic mammals of China. Zoological Research, 2014, 35(4): 346-349. doi: 10.13918/j.issn.2095-8137.2014.4.346
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