2018
DOI: 10.1101/359406
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A comparison of asymmetric before-after control impact (aBACI) and staircase experimental designs for testing the effectiveness of stream restoration

Abstract: Before-after-control-impact (BACI) experimental designs are commonly used in large-scale experiments to test for environmental impacts. However, high natural variability of environmental conditions and populations, and low replication in both treatment and control areas in time and space hampers detection of responses. We compare the power of two asymmetric BACI (aBACI) designs to two staircase designs for detecting changes in juvenile steelhead (Oncorhynchus mykiss) abundance associated with a watershed-scale… Show more

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“…According to Conner et al (2016), mBACI is particularly beneficial if impacted and control sites are treated as fixed effects, with sampling being conducted at simultaneous (paired) time periods at each site, both before, and after disturbance. Unfortunately, a lack of replication in treatment and control areas, and a high degree of natural variability in environmental conditions, can hinder the detection of responses in typical BACI designs (Underwood 1994;Loughin et al 2018). The inclusion of multiple sites and survey times can be used to improve upon unsuitable spatial and temporal replication (Roberts et al 2007).…”
Section: Experimental Designmentioning
confidence: 99%
“…According to Conner et al (2016), mBACI is particularly beneficial if impacted and control sites are treated as fixed effects, with sampling being conducted at simultaneous (paired) time periods at each site, both before, and after disturbance. Unfortunately, a lack of replication in treatment and control areas, and a high degree of natural variability in environmental conditions, can hinder the detection of responses in typical BACI designs (Underwood 1994;Loughin et al 2018). The inclusion of multiple sites and survey times can be used to improve upon unsuitable spatial and temporal replication (Roberts et al 2007).…”
Section: Experimental Designmentioning
confidence: 99%