Predictor weighting and geographical background delimitation: two synergetic sources of uncertainty when assessing species sensitivity to climate change

MLA

Ministerio de Economía y Competitividad (España), et al. Predictor Weighting and Geographical Background Delimitation: Two Synergetic Sources of Uncertainty When Assessing Species Sensitivity to Climate Change. 2017. EBSCOhost, widgets.ebscohost.com/prod/customlink/proxify/proxify.php?count=1&encode=0&proxy=&find_1=&replace_1=&target=https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&scope=site&db=edsoai&AN=edsoai.on1247925931&authtype=sso&custid=ns315887.

APA

Ministerio de Economía y Competitividad (España), Universidad de Castilla La Mancha, European Commission, Ministerio de Agricultura, P. y A. y M. A. (España), Acevedo, P., Jiménez Valverde, A., Lobo, J. M., & Real, R. (2017). Predictor weighting and geographical background delimitation: two synergetic sources of uncertainty when assessing species sensitivity to climate change.

Chicago

Ministerio de Economía y Competitividad (España), Universidad de Castilla La Mancha, European Commission, Pesca y Alimentación y Medio Ambiente (España) Ministerio de Agricultura, Pelayo Acevedo, Alberto Jiménez Valverde, Jorge M. Lobo, and Raimundo Real. 2017. “Predictor Weighting and Geographical Background Delimitation: Two Synergetic Sources of Uncertainty When Assessing Species Sensitivity to Climate Change.” http://widgets.ebscohost.com/prod/customlink/proxify/proxify.php?count=1&encode=0&proxy=&find_1=&replace_1=&target=https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&scope=site&db=edsoai&AN=edsoai.on1247925931&authtype=sso&custid=ns315887.