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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Online Access: | https://dx.doi.org/10.5061/dryad.d75hq https://datadryad.org/stash/dataset/doi:10.5061/dryad.d75hq |
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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 |
_version_ |
1789964230169985024 |