Literature DB >> 26120095

Host selection by an insect herbivore with spatially variable density dependence.

William C Wetzel1,2, Donald R Strong3.   

Abstract

Many species of phytophagous insects do not oviposit preferentially on plants that yield high offspring performance. One proposed explanation is that negatively density-dependent offspring performance would select for females that disperse eggs among plants to minimize competition. Recent work showing larval density dependence often varies substantially among plants suggests that ovipositing females should not only respond to the density of competitors but also to traits predictive of the strength of density dependence mediated by plants. In this study, we used field and greenhouse experiments to examine oviposition behavior in an insect herbivore that experiences density-dependent larval performance and variability in the strength of that density dependence among host-plant individuals. We found females moved readily among plants in the field and had strong preferences for plants that mediate weak offspring density dependence. Females, however, did not avoid plants with high densities of competitors, despite the fact that offspring performance declines steeply with density on most plants in natural populations. This means females minimize the effects of density dependence on their offspring by choosing plants that mediate only weak larval density dependence, not by choosing plants with low densities of competitors. Our results suggest that explaining the lack of positive preference-performance correlations in many systems may not be as simple as invoking density dependence. Resource selection behavior may depend not just on the presence or absence of density-dependent offspring performance but also on variation in the strength of offspring density dependence among sites within populations.

Keywords:  Host-plant preference; Offspring performance; Oviposition behavior; Plant–insect interaction; Tephritidae

Mesh:

Year:  2015        PMID: 26120095     DOI: 10.1007/s00442-015-3378-3

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


  13 in total

1.  Plant defense and density dependence in the population growth of herbivores.

Authors:  Anurag A Agrawal
Journal:  Am Nat       Date:  2004-06-03       Impact factor: 3.926

2.  The biology of nonfrugivorous tephritid fruit flies.

Authors:  D H Headrick; R D Goeden
Journal:  Annu Rev Entomol       Date:  1998       Impact factor: 19.686

3.  On the regulation of populations of mammals, birds, fish, and insects.

Authors:  Richard M Sibly; Daniel Barker; Michael C Denham; Jim Hone; Mark Pagel
Journal:  Science       Date:  2005-07-22       Impact factor: 47.728

4.  Variation in and correlation between intrinsic rate of increase and carrying capacity.

Authors:  Nora Underwood
Journal:  Am Nat       Date:  2006-11-28       Impact factor: 3.926

5.  Demographic models reveal the shape of density dependence for a specialist insect herbivore on variable host plants.

Authors:  Tom E X Miller
Journal:  J Anim Ecol       Date:  2007-07       Impact factor: 5.091

6.  Incorporating density dependence into the oviposition preference-offspring performance hypothesis.

Authors:  Alicia M Ellis
Journal:  J Anim Ecol       Date:  2008-01-08       Impact factor: 5.091

Review 7.  Generalized linear mixed models: a practical guide for ecology and evolution.

Authors:  Benjamin M Bolker; Mollie E Brooks; Connie J Clark; Shane W Geange; John R Poulsen; M Henry H Stevens; Jada-Simone S White
Journal:  Trends Ecol Evol       Date:  2009-03       Impact factor: 17.712

Review 8.  A meta-analysis of preference-performance relationships in phytophagous insects.

Authors:  Sofia Gripenberg; Peter J Mayhew; Mark Parnell; Tomas Roslin
Journal:  Ecol Lett       Date:  2010-01-21       Impact factor: 9.492

9.  Kin recognition affects plant communication and defence.

Authors:  Richard Karban; Kaori Shiojiri; Satomi Ishizaki; William C Wetzel; Richard Y Evans
Journal:  Proc Biol Sci       Date:  2013-02-13       Impact factor: 5.349

10.  Quasi-Poisson vs. negative binomial regression: how should we model overdispersed count data?

Authors:  Jay M Ver Hoef; Peter L Boveng
Journal:  Ecology       Date:  2007-11       Impact factor: 5.499

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.