Data from: Integrating abundance and diet data to improve inferences of food web dynamics ...

1. Both population abundances and chemical tracers are useful tools for studying consumer-resource interactions. Food web models parameterized with abundances are often used to understand how interactions structure communities and to inform management decisions of complex ecological systems. Unfortu...

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Bibliographic Details
Main Authors: Ferguson, Jake M., Hopkins III., John B., Witteveen, Brianna H., Hopkins, John B., Witteveen, Briana H.
Format: Dataset
Language:English
Published: Dryad 2019
Subjects:
Online Access:https://dx.doi.org/10.5061/dryad.5q136q2
https://datadryad.org/stash/dataset/doi:10.5061/dryad.5q136q2
id ftdatacite:10.5061/dryad.5q136q2
record_format openpolar
spelling ftdatacite:10.5061/dryad.5q136q2 2024-01-28T10:06:22+01:00 Data from: Integrating abundance and diet data to improve inferences of food web dynamics ... Ferguson, Jake M. Hopkins III., John B. Witteveen, Brianna H. Hopkins, John B. Witteveen, Briana H. 2019 https://dx.doi.org/10.5061/dryad.5q136q2 https://datadryad.org/stash/dataset/doi:10.5061/dryad.5q136q2 en eng Dryad https://dx.doi.org/10.1111/2041-210x.13001 Creative Commons Zero v1.0 Universal https://creativecommons.org/publicdomain/zero/1.0/legalcode cc0-1.0 ecological tracers nonlinear time series Megaptera novaeangliae Mallotus villosus Theragra chalcogramma multispecies modeling food web model Clupea pallasii integrated modeling Dataset dataset 2019 ftdatacite https://doi.org/10.5061/dryad.5q136q210.1111/2041-210x.13001 2024-01-04T15:12:18Z 1. Both population abundances and chemical tracers are useful tools for studying consumer-resource interactions. Food web models parameterized with abundances are often used to understand how interactions structure communities and to inform management decisions of complex ecological systems. Unfortunately, collecting abundance data to parameterize these models is often expensive and time-consuming. Another approach is to use chemical tracers to estimate the proportional diets of consumers by relating the tracers in their tissues to those found in their food sources. Although tracer data are often inexpensive to collect relative to abundances, diet proportions provide little information on the per-capita consumption rates of consumers. Here, we show how integrating these data sources can be used to better estimate of consumption rates. 2. Our modeling approach informs traditional multispecies population abundance models using proportional diet data. We used simulations to determine whether integrated food web ... : Estimated abundances and diets of whalesThis file contains the estimated densities and diets of humpback whales. The abundances tab contains abundance estimates of humpbacks and densities of zooplankton and fish from 2004, 2005, 2007, 2012, 2013, and 2014. Each estimate has an associated standard error.AbundanceDiet_data.xlsxStable isotope dataThis file contains all the information necessary to estimate diet proportions of this humpback whale population using mixture models. Mixture tabs are the observed mixture for each year. Sources tab is the end member measurements, SourcesCD tab is the concentrations used in the analysis, and the DiscrimSD tab are the discrimination errors.SIA_data.xlsxCode to run abundance and integrated modelsThis R code defines and runs the abundance and integrated models for estimating the feeding rates of humpback whales in the western Gulf of Alaska. Requires R and Just Another Gibbs Sampler (JAGS). Requires the AbundanceDiet_data.xlsx file that is in this repository.WhaleMCMC.R ... Dataset Humpback Whale Megaptera novaeangliae Theragra chalcogramma Alaska DataCite Metadata Store (German National Library of Science and Technology) Gulf of Alaska
institution Open Polar
collection DataCite Metadata Store (German National Library of Science and Technology)
op_collection_id ftdatacite
language English
topic ecological tracers
nonlinear time series
Megaptera novaeangliae
Mallotus villosus
Theragra chalcogramma
multispecies modeling
food web model
Clupea pallasii
integrated modeling
spellingShingle ecological tracers
nonlinear time series
Megaptera novaeangliae
Mallotus villosus
Theragra chalcogramma
multispecies modeling
food web model
Clupea pallasii
integrated modeling
Ferguson, Jake M.
Hopkins III., John B.
Witteveen, Brianna H.
Hopkins, John B.
Witteveen, Briana H.
Data from: Integrating abundance and diet data to improve inferences of food web dynamics ...
topic_facet ecological tracers
nonlinear time series
Megaptera novaeangliae
Mallotus villosus
Theragra chalcogramma
multispecies modeling
food web model
Clupea pallasii
integrated modeling
description 1. Both population abundances and chemical tracers are useful tools for studying consumer-resource interactions. Food web models parameterized with abundances are often used to understand how interactions structure communities and to inform management decisions of complex ecological systems. Unfortunately, collecting abundance data to parameterize these models is often expensive and time-consuming. Another approach is to use chemical tracers to estimate the proportional diets of consumers by relating the tracers in their tissues to those found in their food sources. Although tracer data are often inexpensive to collect relative to abundances, diet proportions provide little information on the per-capita consumption rates of consumers. Here, we show how integrating these data sources can be used to better estimate of consumption rates. 2. Our modeling approach informs traditional multispecies population abundance models using proportional diet data. We used simulations to determine whether integrated food web ... : Estimated abundances and diets of whalesThis file contains the estimated densities and diets of humpback whales. The abundances tab contains abundance estimates of humpbacks and densities of zooplankton and fish from 2004, 2005, 2007, 2012, 2013, and 2014. Each estimate has an associated standard error.AbundanceDiet_data.xlsxStable isotope dataThis file contains all the information necessary to estimate diet proportions of this humpback whale population using mixture models. Mixture tabs are the observed mixture for each year. Sources tab is the end member measurements, SourcesCD tab is the concentrations used in the analysis, and the DiscrimSD tab are the discrimination errors.SIA_data.xlsxCode to run abundance and integrated modelsThis R code defines and runs the abundance and integrated models for estimating the feeding rates of humpback whales in the western Gulf of Alaska. Requires R and Just Another Gibbs Sampler (JAGS). Requires the AbundanceDiet_data.xlsx file that is in this repository.WhaleMCMC.R ...
format Dataset
author Ferguson, Jake M.
Hopkins III., John B.
Witteveen, Brianna H.
Hopkins, John B.
Witteveen, Briana H.
author_facet Ferguson, Jake M.
Hopkins III., John B.
Witteveen, Brianna H.
Hopkins, John B.
Witteveen, Briana H.
author_sort Ferguson, Jake M.
title Data from: Integrating abundance and diet data to improve inferences of food web dynamics ...
title_short Data from: Integrating abundance and diet data to improve inferences of food web dynamics ...
title_full Data from: Integrating abundance and diet data to improve inferences of food web dynamics ...
title_fullStr Data from: Integrating abundance and diet data to improve inferences of food web dynamics ...
title_full_unstemmed Data from: Integrating abundance and diet data to improve inferences of food web dynamics ...
title_sort data from: integrating abundance and diet data to improve inferences of food web dynamics ...
publisher Dryad
publishDate 2019
url https://dx.doi.org/10.5061/dryad.5q136q2
https://datadryad.org/stash/dataset/doi:10.5061/dryad.5q136q2
geographic Gulf of Alaska
geographic_facet Gulf of Alaska
genre Humpback Whale
Megaptera novaeangliae
Theragra chalcogramma
Alaska
genre_facet Humpback Whale
Megaptera novaeangliae
Theragra chalcogramma
Alaska
op_relation https://dx.doi.org/10.1111/2041-210x.13001
op_rights Creative Commons Zero v1.0 Universal
https://creativecommons.org/publicdomain/zero/1.0/legalcode
cc0-1.0
op_doi https://doi.org/10.5061/dryad.5q136q210.1111/2041-210x.13001
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