2021
DOI: 10.3390/w13081022
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Stream Temperature Response to 50% Strip-Thinning in a Temperate Forested Headwater Catchment

Abstract: Stream temperature is a critical parameter for understanding hydrological and biological processes in stream ecosystems. Although a large body of research has addressed the effects of forest harvesting on stream temperature, less is known about the responses of stream temperature to the practice of strip-thinning, which produces more coherent patches of shade and sunlight areas. In this study, we examined stream temperature response to 50% strip-thinning in a 17 ha headwater catchment. The thinning lines exten… Show more

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Cited by 9 publications
(17 citation statements)
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“…A major focus of previous research on stream temperature response to shade removal was to evaluate the effectiveness of different forest practice rules, particularly in relation to their success in maintaining water quality standards (Groom, Dent, & Madsen, 2011). A key takeaway from this study and that of Oanh et al (2021) is that post‐harvest warming due to shade removal can be exacerbated by drought conditions that result in reduced stream discharge. In a climate change context, this result suggests that forest practices that successfully maintained water quality standards under historic climatic conditions may not do so under future conditions characterized by more frequent extended drought.…”
Section: Discussionmentioning
confidence: 82%
See 1 more Smart Citation
“…A major focus of previous research on stream temperature response to shade removal was to evaluate the effectiveness of different forest practice rules, particularly in relation to their success in maintaining water quality standards (Groom, Dent, & Madsen, 2011). A key takeaway from this study and that of Oanh et al (2021) is that post‐harvest warming due to shade removal can be exacerbated by drought conditions that result in reduced stream discharge. In a climate change context, this result suggests that forest practices that successfully maintained water quality standards under historic climatic conditions may not do so under future conditions characterized by more frequent extended drought.…”
Section: Discussionmentioning
confidence: 82%
“…Following these pre‐processing steps, time series of daily minimum, mean and maximum temperatures were extracted for further analysis. Only daily maxima are considered here, given that they are most sensitive to the effects of shade removal (Gomi et al, 2006; Guenther et al, 2014; Oanh et al, 2021).…”
Section: Methodsmentioning
confidence: 99%
“…The significance of the effect of forest harvesting was assessed following an approach suggested by Som et al (2012) and applied by Moore et al (2020) and Oanh et al (2021). The approach involves the construction of prediction limits around the pre-harvest regressions, followed by determination of the number of post-harvest observations falling outside the limits (n op ).…”
Section: Analysis Of Water Colour Datamentioning
confidence: 99%
“…Although this approach may not be as powerful as analysis of covariance (Moore et al, 2020), it has the advantage that it does not require assumptions such as normality or homoscedasticity of the post-harvest error terms. However, it is based on the assumption that the error terms in the regression model are independent, which is typically not valid for daily water quality time series (e.g., Guenther et al, 2014;Oanh et al, 2021).…”
Section: Comment On the Statistical Analysismentioning
confidence: 99%
“…Runoff tends to increase in the short term after forest clear-cutting (Schelker et al, 2013), leading to an increase in nutrient loads (Webb et al, 2012). Also, the stream temperature variability tends to increase after logging (Oanh et al, 2021;Griffith and Kiffney, 2022), which further affects DOC dynamics (Wen et al, 2020).…”
Section: Introductionmentioning
confidence: 99%