Detecting detectability: identifying and correcting bias in binary wildlife surveys demonstrates their potential impact on conservation assessments

Author： Reid Neil Lundy Mathieu Hayden Brian Lynn Deirdre Marnell Ferdia McDonald Robbie Montgomery W.

Publisher： Springer Publishing Company

ISSN： 1612-4642

Source： European Journal of Wildlife Research, Vol.59, Iss.6, 2013-12, pp. : 869-879

Disclaimer: Any content in publications that violate the sovereignty, the constitution or regulations of the PRC is not accepted or approved by CNPIEC.

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