Modeling the impacts of climate change on Species of Concern (birds) in South Central U.S. based on bioclimatic variables

作者: Eric Ariel L. Salas , , Virginia A. Seamster , Kenneth G. Boykin , Nicole M. Harings

DOI: 10.3934/ENVIRONSCI.2017.2.358

关键词:

摘要: We used 19 bioclimatic variables, five species distribution modeling (SDM) algorithms, four general circulation models, and two climate scenarios (2050 2070) to model nine bird species. Identified as Species of Concern (SOC), we highlighted these birds: Northern/Masked Bobwhite Quail (Colinus virginianus), Scaled (Callipepla squamata), Pinyon Jay (Gymnorhinus cyanocephalus), Juniper Titmouse (Baeolophus ridgwayi), Mexican Spotted Owl (Strix occidentalis lucida), Cassin’s Sparrow (Peucaea cassinii), Lesser Prairie-Chicken (Tympanuchus pallidicinctus), Montezuma (Cyrtonyx montezumae), White-tailed Ptarmigan (Lagopus leucurus). The Generalized Linear Model, Random Forest, Boosted Regression Tree, Maxent, Multivariate Adaptive Splines, an ensemble were identify present day core bioclimatic-envelopes for the then projected future distributions suitable climatic conditions using data derived from models run according greenhouse gas Representative Concentration Pathways (RCPs 2.6 8.5). Our predicted changes in all years 2050 2070. Among birds, quails found be highly susceptible change appeared most conservation concern. would lose about 62% its habitat by 67% (SDMs), Tree consistently performed fairly well based on Area Under Curve (AUC range: 0.89 0.97) values. showed improved True Skill Statistics (all TSS values > 0.85) Kappa K 0.80) relative individual SDMs.

参考文章(84)
D.W. Willey, Charles van Riper, First-year movements by juvenile Mexican spotted owls in the Canyonlands of Utah Journal of Raptor Research. ,vol. 34, pp. 1- 7 ,(2000)
Matthew Wiener, Andy Liaw, Classification and Regression by randomForest ,(2007)
N. Chalmers, E. J. Highwood, E. Hawkins, R. Sutton, L. J. Wilcox, Aerosol contribution to the rapid warming of near‐term climate under RCP 2.6 Geophysical Research Letters. ,vol. 39, ,(2012) , 10.1029/2012GL052848
Sharon J. Coe, Deborah M. Finch, Megan M. Friggens, An assessment of climate change and the vulnerability of wildlife in the Sky Islands of the Southwest Gen. Tech. Rep. RMRS-GTR-273. Fort Collins, CO: U.S. Department of Agriculture, Forest Service, Rocky Mountain Research Station. 208 p.. ,vol. 273, ,(2012) , 10.2737/RMRS-GTR-273
OMRI ALLOUCHE, ASAF TSOAR, RONEN KADMON, Assessing the accuracy of species distribution models: prevalence, kappa and the true skill statistic (TSS) Journal of Applied Ecology. ,vol. 43, pp. 1223- 1232 ,(2006) , 10.1111/J.1365-2664.2006.01214.X
E Martínez-Meyer, RP Anderson, MB Araújo, J Soberon, AT Peterson, RG Pearson, M Nakamura, Ecological Niches and Geographic Distributions ,(2011)
Stéphanie Manel, H. Ceri Williams, S.J. Ormerod, Evaluating presence-absence models in ecology: the need to account for prevalence Journal of Applied Ecology. ,vol. 38, pp. 921- 931 ,(2001) , 10.1046/J.1365-2664.2001.00647.X
JULIANE GEYER, IRIS KIEFER, STEFAN KREFT, VERONICA CHAVEZ, NICK SALAFSKY, FLORIAN JELTSCH, PIERRE L. IBISCH, Classification of climate-change-induced stresses on biological diversity. Conservation Biology. ,vol. 25, pp. 708- 715 ,(2011) , 10.1111/J.1523-1739.2011.01676.X
Jane Elith, Steven J. Phillips, Trevor Hastie, Miroslav Dudík, Yung En Chee, Colin J. Yates, A statistical explanation of MaxEnt for ecologists Diversity and Distributions. ,vol. 17, pp. 43- 57 ,(2011) , 10.1111/J.1472-4642.2010.00725.X