Literature DB >> 23881513

Insect density-plant density relationships: a modified view of insect responses to resource concentrations.

Petter Andersson1, Christer Löfstedt, Peter A Hambäck.   

Abstract

Habitat area is an important predictor of spatial variation in animal densities. However, the area often correlates with the quantity of resources within habitats, complicating our understanding of the factors shaping animal distributions. We addressed this problem by investigating densities of insect herbivores in habitat patches with a constant area but varying numbers of plants. Using a mathematical model, predictions of scale-dependent immigration and emigration rates for insects into patches with different densities of host plants were derived. Moreover, a field experiment was conducted where the scaling properties of odour-mediated attraction in relation to the number of odour sources were estimated, in order to derive a prediction of immigration rates of olfactory searchers. The theoretical model predicted that we should expect immigration rates of contact and visual searchers to be determined by patch area, with a steep scaling coefficient, μ = -1. The field experiment suggested that olfactory searchers should show a less steep scaling coefficient, with μ ≈ -0.5. A parameter estimation and analysis of published data revealed a correspondence between observations and predictions, and density-variation among groups could largely be explained by search behaviour. Aphids showed scaling coefficients corresponding to the prediction for contact/visual searchers, whereas moths, flies and beetles corresponded to the prediction for olfactory searchers. As density responses varied considerably among groups, and variation could be explained by a certain trait, we conclude that a general theory of insect responses to habitat heterogeneity should be based on shared traits, rather than a general prediction for all species.

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Year:  2013        PMID: 23881513     DOI: 10.1007/s00442-013-2737-1

Source DB:  PubMed          Journal:  Oecologia        ISSN: 0029-8549            Impact factor:   3.225


  19 in total

1.  Life-history traits predict species responses to habitat area and isolation: a cross-continental synthesis.

Authors:  Erik Ockinger; Oliver Schweiger; Thomas O Crist; Diane M Debinski; Jochen Krauss; Mikko Kuussaari; Jessica D Petersen; Juha Pöyry; Josef Settele; Keith S Summerville; Riccardo Bommarco
Journal:  Ecol Lett       Date:  2010-05-12       Impact factor: 9.492

2.  Appetitive flight patterns of male Agrotis segetum moths over landscape scales.

Authors:  A M Reynolds; D R Reynolds; A D Smith; G P Svensson; C Löfstedt
Journal:  J Theor Biol       Date:  2006-10-14       Impact factor: 2.691

3.  Habitat specialization, body size, and family identity explain lepidopteran density-area relationships in a cross-continental comparison.

Authors:  Peter A Hambäck; Keith S Summerville; Ingolf Steffan-Dewenter; Jochen Krauss; Göran Englund; Thomas O Crist
Journal:  Proc Natl Acad Sci U S A       Date:  2007-05-07       Impact factor: 11.205

Review 4.  Physical processes and real-time chemical measurement of the insect olfactory environment.

Authors:  Jeffrey A Riffell; Leif Abrell; John G Hildebrand
Journal:  J Chem Ecol       Date:  2008-06-12       Impact factor: 2.626

5.  Observations on the flight paths of the day-flying moth Virbia lamae during periods of mate location: do males have a strategy for contacting the pheromone plume?

Authors:  Ring T Cardé; Anja M Cardé; Robbie D Girling
Journal:  J Anim Ecol       Date:  2011-07-05       Impact factor: 5.091

6.  A comparison of the responses of two tropical specialist herbivores to host plant patch size.

Authors:  Catherine E Bach
Journal:  Oecologia       Date:  1986-03       Impact factor: 3.225

7.  The role of spatial scale and intraspecific variation in secondary chemistry in host-plant location by Ceutorhynchus assimilis (Coleoptera: Curculionidae).

Authors:  C L Moyes; A F Raybould
Journal:  Proc Biol Sci       Date:  2001-08-07       Impact factor: 5.349

8.  Resource concentration hypothesis: effect of host plant patch size on density of herbivorous insects.

Authors:  A A Grez; R H González
Journal:  Oecologia       Date:  1995-09       Impact factor: 3.225

9.  Predicting the optimal prey group size from predator hunting behaviour.

Authors:  Will Cresswell; John L Quinn
Journal:  J Anim Ecol       Date:  2011-01-18       Impact factor: 5.091

10.  Trade-off between travel distance and prioritization of high-reward sites in traplining bumblebees.

Authors:  Mathieu Lihoreau; Lars Chittka; Nigel E Raine; Gaku Kudo
Journal:  Funct Ecol       Date:  2011-12       Impact factor: 5.608

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  5 in total

1.  Contrasting Foraging Patterns: Testing Resource-Concentration and Dilution Effects with Pollinators and Seed Predators.

Authors:  Alexandria Wenninger; Tania N Kim; Brian J Spiesman; Claudio Gratton
Journal:  Insects       Date:  2016-06-03       Impact factor: 2.769

2.  Consumptive and nonconsumptive effect ratios depend on interaction between plant quality and hunting behavior of omnivorous predators.

Authors:  Jörg G Stephan; Johan A Stenberg; Christer Björkman
Journal:  Ecol Evol       Date:  2017-03-09       Impact factor: 2.912

3.  Helicoverpa zea (Lepidoptera: Noctuidae) feeding incidence and survival on Bt maize in relation to maize in the landscape.

Authors:  Benjamin R Arends; Dominic D Reisig; Shawnee Gundry; Jeremy K Greene; George G Kennedy; Francis P F Reay-Jones; Anders S Huseth
Journal:  Pest Manag Sci       Date:  2022-03-22       Impact factor: 4.462

4.  Bottom-up and top-down effects of tree species diversity on leaf insect herbivory.

Authors:  Bastien Castagneyrol; Damien Bonal; Maxime Damien; Hervé Jactel; Céline Meredieu; Evalyne W Muiruri; Luc Barbaro
Journal:  Ecol Evol       Date:  2017-04-09       Impact factor: 2.912

5.  Scaling the interactive effects of attractive and repellent odours for insect search behaviour.

Authors:  Thomas A Verschut; Mikael A Carlsson; Peter A Hambäck
Journal:  Sci Rep       Date:  2019-10-25       Impact factor: 4.379

  5 in total

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