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Caught in the web: Spider web architecture affects prey specialization and spider-prey stoichiometric relationships

Authors :
Leticia Avilés
Matthew A. Barbour
Jennifer Guevara
Angélica L. González
Lorraine Ludwig
Source :
Ecology and Evolution, Repositorio Universidad Regional Amazónica, Universidad Regional Amazónica, instacron:IKIAM
Publication Year :
2017

Abstract

Quantitative approaches to predator–prey interactions are central to understanding the structure of food webs and their dynamics. Different predatory strategies may influence the occurrence and strength of trophic interactions likely affecting the rates and magnitudes of energy and nutrient transfer between trophic levels and stoichiometry of predator–prey interactions. Here, we used spider–prey interactions as a model system to investigate whether different spider web architectures—orb, tangle, and sheet‐tangle—affect the composition and diet breadth of spiders and whether these, in turn, influence stoichiometric relationships between spiders and their prey. Our results showed that web architecture partially affects the richness and composition of the prey captured by spiders. Tangle‐web spiders were specialists, capturing a restricted subset of the prey community (primarily Diptera), whereas orb and sheet‐tangle web spiders were generalists, capturing a broader range of prey types. We also observed elemental imbalances between spiders and their prey. In general, spiders had higher requirements for both nitrogen (N) and phosphorus (P) than those provided by their prey even after accounting for prey biomass. Larger P imbalances for tangle‐web spiders than for orb and sheet‐tangle web spiders suggest that trophic specialization may impose strong elemental constraints for these predators unless they display behavioral or physiological mechanisms to cope with nutrient limitation. Our findings suggest that integrating quantitative analysis of species interactions with elemental stoichiometry can help to better understand the occurrence of stoichiometric imbalances in predator–prey interactions.

Details

ISSN :
20457758
Volume :
8
Issue :
13
Database :
OpenAIRE
Journal :
Ecology and evolution
Accession number :
edsair.doi.dedup.....feb0d2ee492571cb2459587fc12df0e1