Literature DB >> 27053747

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

Allert I Bijleveld1, Robert B MacCurdy2, Ying-Chi Chan3, Emma Penning3, Rich M Gabrielson4, John Cluderay5, Eric L Spaulding6, Anne Dekinga3, Sander Holthuijsen3, Job ten Horn3, Maarten Brugge3, Jan A van Gils3, David W Winkler7, Theunis Piersma8.   

Abstract

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 energy intake rates were maximized given their phenotype-specific digestive constraints (as indicated by gizzard mass). Because negative density-dependence is common, we question the current consensus and suggest that predators commonly maximize their energy intake rates at intermediate prey densities. Prey density alone may thus poorly predict intake rates, carrying capacity and spatial distributions of predators.
© 2016 The Author(s).

Entities:  

Keywords:  movement ecology; negative density-dependence; optimal foraging; phenotype-limited spatial distribution; resource-selection modelling; type IV functional response

Mesh:

Year:  2016        PMID: 27053747      PMCID: PMC4843643          DOI: 10.1098/rspb.2015.1557

Source DB:  PubMed          Journal:  Proc Biol Sci        ISSN: 0962-8452            Impact factor:   5.349


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