Data from: Understanding spatial distributions: negative density-dependence in prey causes predators to trade-off prey quantity with quality ...

Negative density-dependence is generally studied within a single trophic level, thereby neglecting its effect on higher trophic levels. The ‘functional response’ couples a predator's intake rate to prey density. Most widespread is a type II functional response, where intake rate increases asymp...

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Main Authors: Bijleveld, Allert I., MacCurdy, Robert B., Chan, Ying-Chi, Penning, Emma, Gabrielson, Richard M, Cluderay, John, Spaulding, Eric L., Dekinga, Anne, Holthuijsen, Sander, Ten Horn, Job, Brugge, Maarten, Van Gils, Jan A., Winkler, David W., Piersma, Theunis, Gabrielson, Rich M.
Format: Dataset
Language:English
Published: Dryad 2016
Subjects:
Online Access:https://dx.doi.org/10.5061/dryad.d75hq
https://datadryad.org/stash/dataset/doi:10.5061/dryad.d75hq
id ftdatacite:10.5061/dryad.d75hq
record_format openpolar
spelling ftdatacite:10.5061/dryad.d75hq 2024-02-04T09:59:26+01:00 Data from: Understanding spatial distributions: negative density-dependence in prey causes predators to trade-off prey quantity with quality ... Bijleveld, Allert I. MacCurdy, Robert B. Chan, Ying-Chi Penning, Emma Gabrielson, Richard M Cluderay, John Spaulding, Eric L. Dekinga, Anne Holthuijsen, Sander Ten Horn, Job Brugge, Maarten Van Gils, Jan A. Winkler, David W. Piersma, Theunis Gabrielson, Rich M. 2016 https://dx.doi.org/10.5061/dryad.d75hq https://datadryad.org/stash/dataset/doi:10.5061/dryad.d75hq en eng Dryad https://dx.doi.org/10.1098/rspb.2015.1557 Creative Commons Zero v1.0 Universal https://creativecommons.org/publicdomain/zero/1.0/legalcode cc0-1.0 Predator-prey dynamics Calidris canutus negative density-dependence Cerastoderma edule optimal foraging type IV functional response Holocene phenotype-limited spatial distribution resource-selection modelling Dataset dataset 2016 ftdatacite https://doi.org/10.5061/dryad.d75hq10.1098/rspb.2015.1557 2024-01-05T04:51:50Z Negative density-dependence is generally studied within a single trophic level, thereby neglecting its effect on higher trophic levels. The ‘functional response’ couples a predator's intake rate to prey density. Most widespread is a type II functional response, where intake rate increases asymptotically with prey density; this predicts the highest predator densities at the highest prey densities. In one of the most stringent tests of this generality to date, we measured density and quality of bivalve prey (edible cockles Cerastoderma edule) across 50 km² of mudflat, and simultaneously, with a novel time-of-arrival methodology, tracked their avian predators (red knots Calidris canutus). Because of negative density-dependence in the individual quality of cockles, the predicted energy intake rates of red knots declined at high prey densities (a type IV, rather than a type II functional response). Resource-selection modelling revealed that red knots indeed selected areas of intermediate cockle densities where ... : spatial raster with cockle densities corresponding to Fig3AThe coordinate reference system is EPSG:32631 - WGS 84 / UTM zone 31N, and cockle density is presented in numbers per square meter.resource_landscape-Fig3A_cockle_density.tifSpatial raster with relative AFDMflesh corresponding to Fig3BThe coordinate reference system is EPSG:32631 - WGS 84 / UTM zone 31N. Relative AFDMflesh is presented as the ratio of AFDMflesh to average AFDMflesh for cockles of identical length (see main article).resource_landscape-Fig3B_relative_AFDMflesh.tifspatial raster with predicted intake rates corresponding to Fig3CThe coordinate reference system is EPSG:32631 - WGS 84 / UTM zone 31N, and predicted intake rates are presented in mg AFDMflesh per second. These intake rates correspond to foragers without a digestive constraint.resource_landscape-Fig3C_IR.tifspatial raster with predicted intake rates for knots with an average gizzard mass corresponding to Fig3DThe coordinate reference system is EPSG:32631 - WGS 84 / UTM zone ... Dataset Calidris canutus DataCite Metadata Store (German National Library of Science and Technology)
institution Open Polar
collection DataCite Metadata Store (German National Library of Science and Technology)
op_collection_id ftdatacite
language English
topic Predator-prey dynamics
Calidris canutus
negative density-dependence
Cerastoderma edule
optimal foraging
type IV functional response
Holocene
phenotype-limited spatial distribution
resource-selection modelling
spellingShingle Predator-prey dynamics
Calidris canutus
negative density-dependence
Cerastoderma edule
optimal foraging
type IV functional response
Holocene
phenotype-limited spatial distribution
resource-selection modelling
Bijleveld, Allert I.
MacCurdy, Robert B.
Chan, Ying-Chi
Penning, Emma
Gabrielson, Richard M
Cluderay, John
Spaulding, Eric L.
Dekinga, Anne
Holthuijsen, Sander
Ten Horn, Job
Brugge, Maarten
Van Gils, Jan A.
Winkler, David W.
Piersma, Theunis
Gabrielson, Rich M.
Data from: Understanding spatial distributions: negative density-dependence in prey causes predators to trade-off prey quantity with quality ...
topic_facet Predator-prey dynamics
Calidris canutus
negative density-dependence
Cerastoderma edule
optimal foraging
type IV functional response
Holocene
phenotype-limited spatial distribution
resource-selection modelling
description Negative density-dependence is generally studied within a single trophic level, thereby neglecting its effect on higher trophic levels. The ‘functional response’ couples a predator's intake rate to prey density. Most widespread is a type II functional response, where intake rate increases asymptotically with prey density; this predicts the highest predator densities at the highest prey densities. In one of the most stringent tests of this generality to date, we measured density and quality of bivalve prey (edible cockles Cerastoderma edule) across 50 km² of mudflat, and simultaneously, with a novel time-of-arrival methodology, tracked their avian predators (red knots Calidris canutus). Because of negative density-dependence in the individual quality of cockles, the predicted energy intake rates of red knots declined at high prey densities (a type IV, rather than a type II functional response). Resource-selection modelling revealed that red knots indeed selected areas of intermediate cockle densities where ... : spatial raster with cockle densities corresponding to Fig3AThe coordinate reference system is EPSG:32631 - WGS 84 / UTM zone 31N, and cockle density is presented in numbers per square meter.resource_landscape-Fig3A_cockle_density.tifSpatial raster with relative AFDMflesh corresponding to Fig3BThe coordinate reference system is EPSG:32631 - WGS 84 / UTM zone 31N. Relative AFDMflesh is presented as the ratio of AFDMflesh to average AFDMflesh for cockles of identical length (see main article).resource_landscape-Fig3B_relative_AFDMflesh.tifspatial raster with predicted intake rates corresponding to Fig3CThe coordinate reference system is EPSG:32631 - WGS 84 / UTM zone 31N, and predicted intake rates are presented in mg AFDMflesh per second. These intake rates correspond to foragers without a digestive constraint.resource_landscape-Fig3C_IR.tifspatial raster with predicted intake rates for knots with an average gizzard mass corresponding to Fig3DThe coordinate reference system is EPSG:32631 - WGS 84 / UTM zone ...
format Dataset
author Bijleveld, Allert I.
MacCurdy, Robert B.
Chan, Ying-Chi
Penning, Emma
Gabrielson, Richard M
Cluderay, John
Spaulding, Eric L.
Dekinga, Anne
Holthuijsen, Sander
Ten Horn, Job
Brugge, Maarten
Van Gils, Jan A.
Winkler, David W.
Piersma, Theunis
Gabrielson, Rich M.
author_facet Bijleveld, Allert I.
MacCurdy, Robert B.
Chan, Ying-Chi
Penning, Emma
Gabrielson, Richard M
Cluderay, John
Spaulding, Eric L.
Dekinga, Anne
Holthuijsen, Sander
Ten Horn, Job
Brugge, Maarten
Van Gils, Jan A.
Winkler, David W.
Piersma, Theunis
Gabrielson, Rich M.
author_sort Bijleveld, Allert I.
title Data from: Understanding spatial distributions: negative density-dependence in prey causes predators to trade-off prey quantity with quality ...
title_short Data from: Understanding spatial distributions: negative density-dependence in prey causes predators to trade-off prey quantity with quality ...
title_full Data from: Understanding spatial distributions: negative density-dependence in prey causes predators to trade-off prey quantity with quality ...
title_fullStr Data from: Understanding spatial distributions: negative density-dependence in prey causes predators to trade-off prey quantity with quality ...
title_full_unstemmed Data from: Understanding spatial distributions: negative density-dependence in prey causes predators to trade-off prey quantity with quality ...
title_sort data from: understanding spatial distributions: negative density-dependence in prey causes predators to trade-off prey quantity with quality ...
publisher Dryad
publishDate 2016
url https://dx.doi.org/10.5061/dryad.d75hq
https://datadryad.org/stash/dataset/doi:10.5061/dryad.d75hq
genre Calidris canutus
genre_facet Calidris canutus
op_relation https://dx.doi.org/10.1098/rspb.2015.1557
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.d75hq10.1098/rspb.2015.1557
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