Data from: Contrasting complexity of adjacent habitats influences the strength of cascading predatory effects

Byers JE, Holmes ZC, Malek JC

Date Published: August 31, 2017

DOI: https://doi.org/10.5061/dryad.429t4

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Title Data from tethering experiment to measure in-situ blue crab mortality as a function of structure
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Description Data collected from field experiment on blue crab tethers in Wassaw Sound, Georgia. Abbreviations of variables are as follows, Site (representing general deployment area): TC= Tybee Creek; SK= Skidaway River; RM = Romerly Marsh); Position: on = on reef; off= off reef; Date: deployment date in field (treated as blocking factor in analysis); CW: Carapace width; CL: Carapace length; Crab Status: A=alive, D=dead; Shark Involved?: P=predation by shark; N=no predation by shark (based on forensics evidence and best guess. All alive crabs were automatically coded as N). To examine the mortality of blue crabs as a function of position (or habitat) , we used a generalized linear mixed effects model to analyze individual crab survival with a binary distribution and a logit link function as influenced by the fixed effect of position (i.e., on reef or off reef). Because the response of crabs within a given deployment batch may not be fully independent, deployment replicate (i.e., date) was used as a random effect.
Download Tether data_Dyrad-Byers-Bonnethead.xlsx (17.55 Kb)
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Title Summary data on oyster spat survival from split-plot mesocosm experiment to examine predation strengths as function of structure.
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Description Abbreviations of variables are as follows, Treatment: Oyster=Oyster only control; MC = mud crab; BC = blue crab; BH = bonnethead shark; Habitat: on= on oyster reef; off= off reef on sandflat; # Alive: number of oyster spat alive in a habitat at the end of experimental trial; Starting #: number of oyster spat in each habitat at start of experiment. Each tank was divided in half between oyster reef and sandflat habitat, reflecting the study’s split plot design. Hence every tank has two entries in the dataset, one for on reef habitat and one for off-reef (sandflat). Because these data were analyzed at the level of binary responses of individual oysters (live or dead), the data were expanded out to the level of individual oysters (i.e., DO loop in SAS) before analyses with generalized linear mixed effects models to analyze individual oyster spat survival with a binary distribution and logit link function.
Download Mesocosm data-Dryad-Byers.xlsx (11.42 Kb)
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When using this data, please cite the original publication:

Byers JE, Holmes ZC, Malek JC (2017) Contrasting complexity of adjacent habitats influences the strength of cascading predatory effects. Oecologia 185(1): 107-117. https://doi.org/10.1007/s00442-017-3928-y

Additionally, please cite the Dryad data package:

Byers JE, Holmes ZC, Malek JC (2017) Data from: Contrasting complexity of adjacent habitats influences the strength of cascading predatory effects. Dryad Digital Repository. https://doi.org/10.5061/dryad.429t4
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