RompreRobinsonDesrochersEtAl2009

Reference

Rompre, G., Robinson, W.D., Desrochers, A. and Angehr, G. (2009) Predicting declines in avian species richness under nonrandom patterns of habitat loss in a Neotropical landscape. Ecological Applications, 19(6):1614-1627.

Abstract

One of the key concerns in conservation is to document and predict the effects of habitat loss on species richness. To do this, the species-area relationship (SAR) is frequently used. That relationship assumes random patterns of habitat loss and species distributions. In nature, however, species distribution patterns are usually nonrandom, influenced by biotic and abiotic factors. Likewise, socioeconomic and environmental factors influence habitat loss and are not randomly distributed across landscapes. We used a recently developed SAR model that accounts for nonrandomness to predict rates of bird species loss in fragmented forests of the Panama Canal region, an area that was historically covered in forest but now has 53% forest cover. Predicted species loss was higher than that predicted by the standard SAR. Furthermore, a species loss threshold was evident when remaining forest cover declined by 25%. This level of forest cover corresponds to 40% of the historical forest cover, and our model predicts rapid species loss past that threshold. This study illustrates the importance of considering patterns of species distributions and realistic habitat loss scenarios to develop better estimates of losses in species richness. Forecasts of tropical biodiversity loss generated from simple species-area relationships may underestimate actual losses because nonrandom patterns of species distributions and habitat loss are probably not unique to the Panama Canal region.

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@ARTICLE { RompreRobinsonDesrochersEtAl2009,
    AUTHOR = { Rompre, G. and Robinson, W.D. and Desrochers, A. and Angehr, G. },
    TITLE = { Predicting declines in avian species richness under nonrandom patterns of habitat loss in a Neotropical landscape },
    JOURNAL = { Ecological Applications },
    YEAR = { 2009 },
    VOLUME = { 19 },
    PAGES = { 1614-1627 },
    NUMBER = { 6 },
    MONTH = { sep },
    ABSTRACT = { One of the key concerns in conservation is to document and predict the effects of habitat loss on species richness. To do this, the species-area relationship (SAR) is frequently used. That relationship assumes random patterns of habitat loss and species distributions. In nature, however, species distribution patterns are usually nonrandom, influenced by biotic and abiotic factors. Likewise, socioeconomic and environmental factors influence habitat loss and are not randomly distributed across landscapes. We used a recently developed SAR model that accounts for nonrandomness to predict rates of bird species loss in fragmented forests of the Panama Canal region, an area that was historically covered in forest but now has 53% forest cover. Predicted species loss was higher than that predicted by the standard SAR. Furthermore, a species loss threshold was evident when remaining forest cover declined by 25%. This level of forest cover corresponds to 40% of the historical forest cover, and our model predicts rapid species loss past that threshold. This study illustrates the importance of considering patterns of species distributions and realistic habitat loss scenarios to develop better estimates of losses in species richness. Forecasts of tropical biodiversity loss generated from simple species-area relationships may underestimate actual losses because nonrandom patterns of species distributions and habitat loss are probably not unique to the Panama Canal region. },
    AF = { Rompre, GhislainEOLEOLRobinson, W. DouglasEOLEOLDesrochers, AndreEOLEOLAngehr, George },
    C1 = { [Rompre, Ghislain; Desrochers, Andre] Univ Laval, Ctr Etud Foret, Quebec City, PQ G1V 0A6, Canada.EOLEOL[Rompre, Ghislain; Robinson, W. Douglas] Oregon State Univ, Dept Fisheries & Wildlife, Oak Creek Lab Biol, Corvallis, OR 97331 USA.EOLEOL[Angehr, George] Smithsonian Trop Res Inst, Unit 0948, APO, AA 34002 USA. },
    DE = { bird species richness; fragmentation; habitat degradation; habitat lossEOLEOLscenarios; Neotropical rain forests; nonrandom patterns; Panama CanalEOLEOLcorridor; species-area relationship; species loss threshold; tropicalEOLEOLbiodiversity },
    EM = { ghislain.rompre.1@ulaval.ca },
    FU = { Natural Sciences and Engineering Research Council of Canada },
    FX = { This study was supported by the Natural Sciences and EngineeringEOLEOLResearch Council of Canada, via a Ph.D. fellowship to G. Rompre.EOLEOLResearch in Panama was possible thanks to the generous help of theEOLEOLSmithsonian Tropical Research Institute (STRI), Autoridad Nacional delEOLEOLAmbiante (ANAM), Autoridad del Canal de Panama (ACP), Autoridad de laEOLEOLRegion Interoceanica (ARI), Centro de Estudio de Accion Social PanamenoEOLEOL(CEASPA), Fundo Peregrino Panama (FPP), and Contraloria General de laEOLEOLRepublica de Panama. We also thank Elena de Lombardo, Maria Leone, OrisEOLEOLOvecedo, Benjamen Ordonez (STRI), Charlotte Elton (CEASPA), Sayda deEOLEOLGrimaldo (ARI), Anjel Muela (FPP), Pascual Fiengo, Jose and GladysEOLEOLIsturain, and Jeovanna Lowe for making things easier in the field byEOLEOLgiving access and helping to coordinate and organize the fieldwork.EOLEOLEric Seabloom, Marc-Andre Villard, Mathieu Bouchard, and Louis BelangerEOLEOLbrought helpful comments to the discussion and statistical analysis. },
    GA = { 484VC },
    J9 = { ECOL APPL },
    JI = { Ecol. Appl. },
    KEYWORDS = { BARRO-COLORADO ISLAND; FOREST BIRD COMMUNITY; AREA RELATIONSHIP; EXTINCTION DEBT; LAND-USE; PANAMA; BIODIVERSITY; FRAGMENTATION; DEFORESTATION; FUTURE },
    LA = { English },
    NR = { 95 },
    OWNER = { sobru1 },
    PA = { 1990 M STREET NW, STE 700, WASHINGTON, DC 20036 USA },
    PG = { 14 },
    PI = { WASHINGTON },
    PUBLISHER = { Ecological Soc Amer },
    RP = { Rompre, G, Univ Laval, Ctr Etud Foret, Pavillon Abitibi Price,2405 RueEOLEOLTerrasse, Quebec City, PQ G1V 0A6, Canada. },
    SC = { Ecology; Environmental Sciences },
    SN = { 1051-0761 },
    TC = { 0 },
    TIMESTAMP = { 2009.08.28 },
    UT = { ISI:000269075200021 },
}

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