Literature DB >> 29578773

Reptile Extinctions on Land-Bridge Islands: Life-History Attributes and Vulnerability to Extinction.

Johannes Foufopoulos, Anthony R Ives.   

Abstract

One of the central questions of conservation biology is what life-history traits render a species prone to extinction. We addressed this problem by calculating extinction rates for 35 species of turtles and squamates (lizards and snakes) occurring on 87 land-bridge islands in the Mediterranean Sea. We calculated extinction rates in two ways: first, by incorporating the known sequence of historical island separations and second by ignoring history and assuming that the islands became isolated simultaneously. The second procedure is simpler and more frequently used in the literature and produces estimates of extinction rates that are similar to the first, more complex procedure. We then determined the relationship between extinction rates (calculated using both methods) and body mass, longevity, habitat specialization, and population abundance using two methods: first, by accounting for the phylogenetic relationships among species and, second, by ignoring them. Only population abundance and habitat specialization explained a significant amount of the observed variation in species extinction rates. Body mass itself did not explain variation in extinction rates, although it was strongly correlated with abundance. These conclusions were obtained using both procedures for calculating extinction rates and both procedures for correlating extinction rates with life-history traits.

Keywords:  Keywords: extinction rates; body mass; life history; longevity; specialization; vicariance

Year:  1999        PMID: 29578773     DOI: 10.1086/303149

Source DB:  PubMed          Journal:  Am Nat        ISSN: 0003-0147            Impact factor:   3.926


  13 in total

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2.  Life history predicts risk of species decline in a stochastic world.

Authors:  Benjamin G Van Allen; Amy E Dunham; Christopher M Asquith; Volker H W Rudolf
Journal:  Proc Biol Sci       Date:  2012-03-07       Impact factor: 5.349

3.  The agroecological matrix as alternative to the land-sparing/agriculture intensification model.

Authors:  Ivette Perfecto; John Vandermeer
Journal:  Proc Natl Acad Sci U S A       Date:  2010-03-25       Impact factor: 11.205

4.  Climate change and elevated extinction rates of reptiles from Mediterranean Islands.

Authors:  Johannes Foufopoulos; A Marm Kilpatrick; Anthony R Ives
Journal:  Am Nat       Date:  2010-11-22       Impact factor: 3.926

5.  A comparative study on genetic effects of artificial and natural habitat fragmentation on Loropetalum chinense (Hamamelidaceae) in Southeast China.

Authors:  N Yuan; H P Comes; Y N Cao; R Guo; Y H Zhang; Y X Qiu
Journal:  Heredity (Edinb)       Date:  2014-12-17       Impact factor: 3.821

6.  Decline of parasitic and habitat-specialist species drives taxonomic, phylogenetic and functional homogenization of sub-alpine bumblebee communities.

Authors:  Yoan Fourcade; Sandra Åström; Erik Öckinger
Journal:  Oecologia       Date:  2021-06-15       Impact factor: 3.225

7.  Eggshell Types and Their Evolutionary Correlation with Life-History Strategies in Squamates.

Authors:  Konstantin Hallmann; Eva Maria Griebeler
Journal:  PLoS One       Date:  2015-09-22       Impact factor: 3.240

8.  Intraspecific Colour Variation among Lizards in Distinct Island Environments Enhances Local Camouflage.

Authors:  Kate L A Marshall; Kate E Philpot; Isabel Damas-Moreira; Martin Stevens
Journal:  PLoS One       Date:  2015-09-15       Impact factor: 3.240

9.  Effects of fragmentation and sea-level changes upon frog communities of land-bridge islands off the southeastern coast of Brazil.

Authors:  Gabriela B Bittencourt-Silva; Hélio R Silva
Journal:  PLoS One       Date:  2014-07-28       Impact factor: 3.240

10.  Behavioral Correlates of Primates Conservation Status: Intrinsic Vulnerability to Anthropogenic Threats.

Authors:  Amélie Christelle Lootvoet; Justine Philippon; Carmen Bessa-Gomes
Journal:  PLoS One       Date:  2015-10-07       Impact factor: 3.240

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