@ARTICLE {MatsuokaBayneSolymosEtAl2012,
AUTHOR = {Matsuoka, S.M. and Bayne, E.M. and Solymos, P. and Fontaine, P.C.
and Cumming, S.G. and Schmiegelow, F.K.A. and Song, S.J.},
TITLE = {Using binomial distance-sampling models to estimate the effective
detection radius of point-count surveys across boreal Canada},
JOURNAL = {Auk},
YEAR = {2012},
VOLUME = {129},
PAGES = {268-282},
NUMBER = {2},
ABSTRACT = {We used binomial distance-sampling models to estimate the effective
detection radius (EDR) of point-count surveys across boreal Canada.
We evaluated binomial models based on 0-50 m and >50 m distance categories
for goodness-of-fit and sensitivities to variation in survey effort
and habitats sampled. We also compared binomial EDRs to Partners
in Flight's maximum detection distances (MDD) to determine differences
in landbird population sizes derived from each. Binomial EDRs had
a small positive bias (4%) averaged across 86 species and a large
positive bias (30-82%) for two species when compared with EDRs estimated
using multinomial distance sampling. Patterns in binomial EDRs were
consistent with how bird songs attenuate in relation to their frequencies
and transmission through different habitats. EDR varied 12% among
habitats and increased 17% when birds were counted to an unlimited
distance, compared with a limited distance of 100 m. The EDR did
not vary with the duration of surveys, and densities did not differ
when using unlimited-distance versus truncated data. Estimated densities,
however, increased 19% from 3- to 5-min counts and 25% from 5- to
10-min counts, possibly from increases in the availability, movement,
or double counting of birds with longer counts. Thus, investigators
should be cautious when comparing distance-sampling results among
studies if methods vary. Population sizes estimated using EDR averaged
5 times (0.8-15 times) those estimated with MDD. Survey data from
which to estimate binomial EDRs are widely available across North
America and could be used as an alternative to MDD when estimating
landbird population sizes. © 2012 by The American Ornithologists'
Union. All rights reserved.},
COMMENT = {Export Date: 4 June 2012
Source: Scopus
CODEN: AUKJA
doi: 10.1525/auk.2012.11190},
ISSN = {00048038 (ISSN)},
KEYWORDS = {Binomial distance-sampling models, Boreal forest birds, Density estimation,
Detection probabilities, Effective detection radius, Point-count
surveys, Population size estimation},
OWNER = {Luc},
TIMESTAMP = {2012.06.04},
URL = {http://www.scopus.com/inward/record.url?eid=2-s2.0-84861373086&partnerID=40&md5=c32597f4c2579b9813459ddf67cbb741},
}