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Predicting the distributions of under‐recorded Odonata using species distribution models
Author(s) -
HASSALL CHRISTOPHER
Publication year - 2012
Publication title -
insect conservation and diversity
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.061
H-Index - 39
eISSN - 1752-4598
pISSN - 1752-458X
DOI - 10.1111/j.1752-4598.2011.00150.x
Subject(s) - akaike information criterion , ecology , population , odonata , species distribution , geography , statistics , biology , mathematics , habitat , demography , sociology
1. Absences in distributional data may result either from the true absence of a species or from a false absence due to lack of recording effort. I use general linear models (GLMs) and species distribution models (SDMs) to investigate this problem in North American Odonata and present a potential solution.