2008
DOI: 10.1016/j.foreco.2008.03.005
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Factors influencing stream occupancy and detection probability parameters of stream-associated amphibians in commercial forests of Oregon and Washington, USA

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Cited by 53 publications
(39 citation statements)
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“…First, few published studies have examined SAA over large geographic areas (but see Bury et al, 1991 andKroll et al, 2008), instead focusing on individual streams within several local watersheds. Ecological conditions vary significantly from southern British Columbia to northern California (the distributional limits of Ascaphus truei and Dicamptodon spp.…”
Section: Limits Of Inferencementioning
confidence: 99%
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“…First, few published studies have examined SAA over large geographic areas (but see Bury et al, 1991 andKroll et al, 2008), instead focusing on individual streams within several local watersheds. Ecological conditions vary significantly from southern British Columbia to northern California (the distributional limits of Ascaphus truei and Dicamptodon spp.…”
Section: Limits Of Inferencementioning
confidence: 99%
“…For example, Hunter (1998) found larval R. kezeri in 2/52 (3.5%), larval A. truei in 2/21 (9%), and metamorphosed A. truei in 0/62 (0%) streams where crayfish were present (these streams all occurred within one basin in the Oregon Cascades). In addition, Kroll et al (2008) estimated that A. truei stream occupancy was 5 times higher when crayfish were absent. However, Russell et al (2004Russell et al ( , 2005 did not find support for a negative effect of crayfish on either R. cascadae or R. kezeri.…”
Section: Species Interactionsmentioning
confidence: 99%
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“…Pleguezuelos et al, 2002;Creemers Van Delft, 2009) and also in other regions streams can be of high value for some species (e.g. Kroll et al, 2008;Welsh Hodgson, 2008;Grant et al, 2009). However, streams and rivers are usually unsuitable habitats for most amphibian species, mainly because of strong currents and high predation risk by fishes.…”
mentioning
confidence: 99%
“…Wintle et al (2004) reviewed six approaches for estimating detection probability and found that maximum likelihood methods used by MacKenzie et al (2002) were the least biased. Recently, these maximum likelihood methods have been used by amphibian researchers to quantify the effects of survey timing (Muths et al 2005;Weir et al 2005;Gooch et al 2006), habitat covariates , and survey-specific covariates (Dodd and Dorazio 2004;Bailey et al 2004;Weir et al 2005;Pellet and Schmidt 2005;Smith et al 2006;Kroll et al 2008) on detection probabilities. Aquatic macroinvertebrate detection probabilities within ponds in Vermont were shown to vary considerably depending on sampling period (VT DEC and VT NNHP 2003).…”
Section: Introductionmentioning
confidence: 99%