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Premium High floral resource density leads to neural constraint in the generalist, floriphilic katydid, P haneroptera brevis ( O rthoptera: P haneropterinae)
Author(s)
TAN MING KAI,
LEEM CHERYL J. M.,
TAN HUGH T. W.
Publication year2017
Publication title
ecological entomology
Resource typeJournals
PublisherBlackwell Publishing Ltd
1. The neural constraint hypothesis has been investigated in the field of insect–plant interactions. It predicts that the consumer's detection ability, time spent on resources, and efficiency in resource use are affected by different aspects of resource availability. 2. The applicability of this hypothesis in florivory, however, generally lacks a mechanistic understanding of the effect of resource density on neural constraint, so using caged experiments, the (i) ability of a generalist, floriphilic katydid [( P haneroptera brevis (Serville)] to find a floral resource (inflorescences of B idens pilosa L.), (ii) attentiveness of the katydid on this resource after successfully detecting the floral resource, and (iii) efficiency of resource use under varying densities of the floral resource were studied. 3. The present results indicated no evidence of an obvious effect of floral resource density on the detection of resources by the florivore but an increase in floral‐resource density generally led to lower efficiency and attentiveness in the foraging katydids. 4. These findings provide the first evidence of the neural constraint hypothesis in the context of resource density and corroborate the applicability of the neural constraint hypothesis in florivory.
Subject(s)biology , computer network , computer science , constraint (computer aided design) , context (archaeology) , ecology , foraging , generalist and specialist species , geometry , habitat , mathematics , orthoptera , paleontology , resource (disambiguation) , tettigoniidae
Language(s)English
SCImago Journal Rank0.865
H-Index81
eISSN1365-2311
pISSN0307-6946
DOI10.1111/een.12414

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