Methods in Stream Ecology 2007
DOI: 10.1016/b978-012332908-0.50042-5
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Decomposition of Leaf Material

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Cited by 101 publications
(122 citation statements)
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“…Bottom current velocity, depth, and light intensity were analyzed for differences that may result in biases using an ANOVA. Leaf decay was modeled through standard exponential decay models where the processing coefficient (k) could be estimated (Benfield 2006) and compared to values published in the literature. An ANOVA was performed on processing rates calculated as instantaneous slope of the linearized regression.…”
Section: Methodsmentioning
confidence: 99%
See 1 more Smart Citation
“…Bottom current velocity, depth, and light intensity were analyzed for differences that may result in biases using an ANOVA. Leaf decay was modeled through standard exponential decay models where the processing coefficient (k) could be estimated (Benfield 2006) and compared to values published in the literature. An ANOVA was performed on processing rates calculated as instantaneous slope of the linearized regression.…”
Section: Methodsmentioning
confidence: 99%
“…As leaf fall provides the most important source of potential energy for headwater stream ecosystems, alteration of leaf fall biomass, nutrient content or timing may have important ecological impacts. Meanwhile, alterations such as canopy reduction (Smock and McGregor 1988;Hetrick et al 1998;Hutchens and Benfield 2000), increases in canopy shading (Franken et al 2005;Benfield 2006;Minshall and Rugenski 2006) or an alteration of the timing of leaf shading (Benfield 2006;Minshall and Rugenski 2006) disrupt autochthonous pathways that are temporally important sources of energy, even in streams with dense riparian forests (Fausch et al 2002;Kiffney et al 2004).…”
Section: Introductionmentioning
confidence: 99%
“…PCA analysis was run in PC-ORD 4.25 (McCune & Mefford, 1999). Leaf litter breakdown rates (per day) were calculated using the exponential decay model M t =M o e -kt where M t is the initial dry mass and M o is the final dry mass (Benfield, 2007). The breakdown rate coefficients (expressed as k) were calculated for each stream as the slope of the line fitting the percent AFDM remaining (log-transformed) versus time (days).…”
Section: Statistical Analysesmentioning
confidence: 99%
“…As the first signs of softening of the insurance cycle emerge, sidecars begin to retreat, their shares repurchased, their loans paid back or the entire company wound up. 67 In this respect, sidecars have acted, according to Moody's, as ''rapid response'' reinsurance. 68 However, it should be noted that the robustness of sidecars was not tested against the occurrence of the events that created them, that is, severe windstorms or other catastrophes.…”
Section: Discussionmentioning
confidence: 99%