2018
DOI: 10.1016/j.marpolbul.2017.09.047
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Ecosystem features determine seagrass community response to sea otter foraging

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Cited by 19 publications
(39 citation statements)
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“…). BC's Central Coast is a geographically complex coastline, with a suite of nearshore habitats, including eelgrass meadows of varying sizes and attributes (Table ) (Hessing‐Lewis et al ). With low human population density and sparse land‐based development, this area provides an opportune setting for obtaining regional estimates of eelgrass carbon storage with a focus on ecological and biophysical drivers rather than human disturbance.…”
Section: Methodsmentioning
confidence: 99%
“…). BC's Central Coast is a geographically complex coastline, with a suite of nearshore habitats, including eelgrass meadows of varying sizes and attributes (Table ) (Hessing‐Lewis et al ). With low human population density and sparse land‐based development, this area provides an opportune setting for obtaining regional estimates of eelgrass carbon storage with a focus on ecological and biophysical drivers rather than human disturbance.…”
Section: Methodsmentioning
confidence: 99%
“…The shoreline complexity of the central coast allows for a diverse matrix of nearshore marine habitats within this seascape (Hessing‐Lewis et al. ). Similar to other northern‐latitude coastlines, mixed patches of seagrass, kelp forest habitats ( N. luetkeana and/or Macrocystis pyrifera ), and sand habitats are common elements of this region.…”
Section: Methodsmentioning
confidence: 99%
“…based on long‐term monitoring of the Choked Passage seagrass food web (Hessing‐Lewis et al. ) and established trophic relationships in temperate seagrass food webs (Appendix , ; Hughes et al. ).…”
Section: Methodsmentioning
confidence: 99%
“…Our analyses of foraging ecology and niche space variation in sea otters involved several steps. First, we used established analytical methods to quantify diet composition (i.e., frequency of occurrence representation of various prey taxa and size classes in sea otter diets), rate of energy gain, and diet diversity from observational foraging data (Hessing‐Lewis et al, ; Tinker, Bentall et al, ; Tinker et al, ). We then combined foraging data for each occupation area with environmental parameters (habitat, depth) and analyzed the multivariate data set using nonmetric multidimensional scaling analysis (nMDS) to examine whether there were groupings that correlated with occupation area or sex class.…”
Section: Methodsmentioning
confidence: 99%
“…We used direct observations of foraging behaviour combined with a Monte Carlo algorithm to analyze sea otter foraging data (Hessing‐Lewis et al, ; Tinker, Bentall et al, ; Tinker et al, ). Prey functional groups were defined by both taxa and size class (Table ) and were limited to prey that comprised at least 5% of overall diets by frequency of occurrence.…”
Section: Methodsmentioning
confidence: 99%