Literature DB >> 28307493

Habitat structure and animal movement: the behaviour of bumble bees in uniform and random spatial resource distributions.

Ralph V Cartar1, Leslie A Real1.   

Abstract

Foraging organisms (like bumble bees) move between resource points (like flowers) whose natural distributions vary enormously: from hyperdispersed to random to clumped. These differences in habitat structure may significantly influence the fitness of both plant and pollinator. To examine the effect of habitat structure on pollinator movement and fitness, we observed captive worker bumble bees collecting nectar from artificial flowers containing equal volumes of reward and arranged in two spatial configurations: a hexagonal array with constant distances between flowers ("constant"), and an "exploded hexagonal" array, with variable distances between flowers ("variable"). The mean nearest-neighbour distance was the same in both arrays, as was the general hexagonal appearance. The experiment therefore compares how resource dispersion, independent of nearest-neighbour distance, influences bee behaviour. Bees in the variable array showed decreased directionality, higher revisitation frequencies, and greater inter-flower flight distances than shown in the constant array. As a consequence, bees in the variable array had a 19% lower gross rate of nectar collection. Our results suggest that wild-foraging bees should prefer regularly spaced flowers (when all else, including mean nearest-neighbour distance, is equal), and that plants can decrease self-pollination by regular spacing between flowers, inflorescences, or individuals.

Entities:  

Keywords:  Foraging behaviour; Habitat structure; Key words Directionality; Pollination ecology; Resource dispersion

Year:  1997        PMID: 28307493     DOI: 10.1007/s004420050329

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


  3 in total

1.  Modeling the spatial distribution and fruiting pattern of a key tree species in a neotropical forest: methodology and potential applications.

Authors:  Damien Caillaud; Margaret C Crofoot; Samuel V Scarpino; Patrick A Jansen; Carol X Garzon-Lopez; Annemarie J S Winkelhagen; Stephanie A Bohlman; Peter D Walsh
Journal:  PLoS One       Date:  2010-11-22       Impact factor: 3.240

2.  Evolution of honest reward signal in flowers.

Authors:  Koichi Ito; Miki F Suzuki; Ko Mochizuki
Journal:  Proc Biol Sci       Date:  2021-01-20       Impact factor: 5.349

3.  A low-cost, computer-controlled robotic flower system for behavioral experiments.

Authors:  Erno Kuusela; Juho Lämsä
Journal:  Ecol Evol       Date:  2016-03-16       Impact factor: 2.912

  3 in total

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