2006
DOI: 10.2980/i1195-6860-13-2-226.1
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Edge influence on forest structure in large forest remnants, cutblock separators, and riparian buffers in managed black spruce forests

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Cited by 40 publications
(25 citation statements)
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“…Randomization tests (using an Excel AddIn, K. A. Harper and S. E. Macdonald unpublished) were used to detect differences in abiotic variables, vegetation composition and structure between plots located at various distances along transects and reference forest and barren plots. This analysis was used in Mascarúa et al (2006) and consists of an updated version of the Critical Values Approach (Harper and Macdonald 2001). The difference between the mean of reference conditions and the mean at a given distance from the edge is compared to a distribution of randomized differences of the entire data set.…”
Section: Discussionmentioning
confidence: 99%
“…Randomization tests (using an Excel AddIn, K. A. Harper and S. E. Macdonald unpublished) were used to detect differences in abiotic variables, vegetation composition and structure between plots located at various distances along transects and reference forest and barren plots. This analysis was used in Mascarúa et al (2006) and consists of an updated version of the Critical Values Approach (Harper and Macdonald 2001). The difference between the mean of reference conditions and the mean at a given distance from the edge is compared to a distribution of randomized differences of the entire data set.…”
Section: Discussionmentioning
confidence: 99%
“…Use of the RTEI method was first introduced in Mascarú a- López et al (2006) as an updated version of the critical values approach (CVA, Macdonald 2001, 2002). The CVA method compared the mean value at the edge to critical values based on randomization of reference data; however, this method does not account for the range of variation among sample locations at a given distance from the edge and in some instances might lead to Type I error.…”
Section: Description Of the Rtei Methodsmentioning
confidence: 99%
“…Phylotype richness was highest at the edge, but lowest in the gap, similar to what Bauhus (1996) found when he measured microbial biomass along a gap-stand gradient in a European beech (Fagus sylvatica) forest. Phylotype richness at D3 was the second highest (with 24 phylotypes) similar to the edge effect the RIC Forest Ecology Lab found in a separate study where canopy trees increased their radial growth up to 10 m from the edge which is where D3 is located, and Mascarúa-López et al, (2006) found the distance of the edge effect on forest structure extended 10-30 m from the edge in black spruce forests.…”
Section: Gap Effect On Soil Abiotic Componentsmentioning
confidence: 95%