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Journal ArticleDOI

At-sea distribution and scale-dependent foraging behaviour of petrels and albatrosses: a comparative study.

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TLDR
This study demonstrates that predators of several species adjust their foraging behaviour to the heterogeneous environment and these scale-dependent movement adjustments depend on both forager and environment characteristics.
Abstract
1. In order to study and predict population distribution, it is crucial to identify and understand factors affecting individual movement decisions at different scales. Movements of foraging animals should be adjusted to the hierarchical spatial distribution of resources in the environment and this scale-dependent response to environmental heterogeneity should differ according to the forager's characteristics and exploited habitats. 2. Using First-Passage Time analysis, we studied scales of search effort and habitat used by individuals of seven sympatric Indian Ocean Procellariiform species fitted with satellite transmitters. We characterized their search effort distribution and examined whether species differ in scale-dependent adjustments of their movements according to the marine environment exploited. 3. All species and almost all individuals (91% of 122 individuals) exhibited an Area-Restricted Search (ARS) during foraging. At a regional scale (1000s km), foraging ranges showed a large spatial overlap between species. At a smaller scale (100s km, at which an increase in search effort occurred), a segregation in environmental characteristics of ARS zones (where search effort is high) was found between species. 4. Spatial scales at which individuals increased their search effort differed between species and also between exploited habitats, indicating a similar movement adjustment for predators foraging in the same habitat. ARS zones of the two populations of wandering albatross Diomedea exulans (Crozet and Kerguelen) were similar in their adjustments (i.e. same ARS scale) as well as in their environmental characteristics. These two populations showed a weak spatial overlap in their foraging distribution, with males foraging in more southerly waters than females in both populations. 5. This study demonstrates that predators of several species adjust their foraging behaviour to the heterogeneous environment and these scale-dependent movement adjustments depend on both forager and environment characteristics.

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Citations
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Journal ArticleDOI

State-space models of individual animal movement.

TL;DR: The statistical robustness and predictive ability of state-space models make them the most promising avenue towards a new type of movement ecology that fuses insights from the study of animal behaviour, biogeography and spatial population dynamics.
Book

The Physics of Foraging: An Introduction to Random Searches and Biological Encounters

TL;DR: In this article, the authors introduce random searches and foraging in a way that can be understood by readers without a previous background on the subject, and discuss applications ranging from the colonization of Madagascar by Austronesians to the diffusion of genetically modified crops.
Journal ArticleDOI

Animal movements in heterogeneous landscapes: identifying profitable places and homogeneous movement bouts.

TL;DR: This work critically reviewed the few previously published methods to detect changes in movement behavior likely to occur when an animal enters a profitable place and designed a new, easy-to-use method based on the time spent in the vicinity of successive path locations.
References
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BookDOI

Density estimation for statistics and data analysis

TL;DR: The Kernel Method for Multivariate Data: Three Important Methods and Density Estimation in Action.
Book

Model Selection and Inference: A Practical Information-Theoretic Approach

TL;DR: Information theory and log-likelihood models - a basis for model selection and inference practical use of the information theoretic approach model selection uncertainty with examples Monte Carlo insights and extended examples statistical theory.
Journal ArticleDOI

Kernel methods for estimating the utilization distribution in home-range studies

B. J. Worton
- 01 Feb 1989 - 
TL;DR: Kernel methods are of flexible form and can be used where simple parametric models are found to be inappropriate or difficult to specify and give alternative approaches to the Anderson (1982) Fourier transform methods.
Journal ArticleDOI

The package “adehabitat” for the R software: A tool for the analysis of space and habitat use by animals

TL;DR: The “adehabitat” package for the R software is presented, which offers basic GIS functions, methods to analyze radio-tracking data and habitat selection by wildlife, and interfaces with other R packages.
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