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

William Montgomery; Neil Reid; Mathieu Lundy

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

William Montgomery, Neil Reid, Mathieu Lundy

School of Biological Sciences

Research output: Contribution to journal › Article › peer-review

Original language	English
Pages (from-to)	869-879
Number of pages	10
Journal	EUROPEAN JOURNAL OF WILDLIFE RESEARCH
Volume	59
Publication status	Published - Dec 2013

Cite this

@article{d11d1314d63e44ffa4db1dfdac0cc410,

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

author = "William Montgomery and Neil Reid and Mathieu Lundy",

year = "2013",

month = dec,

language = "English",

volume = "59",

pages = "869--879",

journal = "EUROPEAN JOURNAL OF WILDLIFE RESEARCH",

issn = "1612-4642",

publisher = "Springer Verlag",

}

TY - JOUR

T1 - Detecting detectability: identifying and correcting bias in binary wildlife surveys demonstrates their potential impact on conservation assessments

AU - Montgomery, William

AU - Reid, Neil

AU - Lundy, Mathieu

PY - 2013/12

Y1 - 2013/12

M3 - Article

SN - 1612-4642

VL - 59

SP - 869

EP - 879

JO - EUROPEAN JOURNAL OF WILDLIFE RESEARCH

JF - EUROPEAN JOURNAL OF WILDLIFE RESEARCH

ER -