Behavioral States Help Translate Dispersal Movements into Spatial Distribution Patterns of Floaters
- 1 October 2008
- journal article
- Published by University of Chicago Press in The American Naturalist
- Vol. 172 (4), 475-485
- https://doi.org/10.1086/590964
Abstract
Within the field of spatial ecology, it is important to study animal movements in order to better understand population dynamics. Dispersal is a nonlinear process through which different behavioral mechanisms could affect movement patterns. One of the most common approaches to analyzing the trajectories of organisms within patches is to use random-walk models to describe movement features. These models express individual movements within a specific area in terms of random-walk parameters in an effort to relate movement patterns to the distributions of organisms in space. However, only using the movement trajectories of individuals to predict the spatial spread of animal populations may not fit the complex distribution of individuals across heterogeneous environments. When we empirically tested the results from a random-walk model (a residence index) used to predict the spatial equilibrium distribution of individuals, we found that the index severely underestimated the spatial spread of dispersing individuals. We believe this is because random-walk models only account for the effects of environmental conditions on individual movements, completely overlooking the crucial influence of behavior changes over time. In the future, both aspects should be accounted for when predicting general rules of (meta)population abundance, distribution, and dynamics from patterns of animal movements. © 2008 by The University of Chicago. All rights reserved.Peer RevieweKeywords
This publication has 63 references indexed in Scilit:
- Dispersal behaviour in fragmented landscapes: Routine or special movements?Basic and Applied Ecology, 2005
- Floater survival affects population persistence. The role of prey availability and environmental stochasticityOikos, 2005
- Using animal movement paths to measure response to spatial scaleOecologia, 2005
- Ruminating on complexity: macroparasites of wildlife and livestockTrends in Ecology & Evolution, 2004
- Predicting the spatial distribution of a population in a heterogeneous landscapeEcological Modelling, 2003
- Unequal competitor ideal free distributions: predictions for differential effects of interference between habitatsJournal of Animal Ecology, 2001
- HOW DOES HABITAT PATCH SIZE AFFECT ANIMAL MOVEMENT? AN EXPERIMENT WITH DARKLING BEETLESEcology, 1999
- Random diffusion models for animal movementEcological Modelling, 1997
- Balanced Dispersal Between Spatially Varying Local Populations: An Alternative To The Source‐Sink ModelThe American Naturalist, 1997
- AI modelling of animal movements in a heterogeneous habitatEcological Modelling, 1989