The effects of spatially heterogeneous prey distributions on detection patterns in foraging seabirds
Many attempts to relate animal foraging patterns to landscape heterogeneity are focused on the analysis of foragers movements. Resource detection patterns in space and time are not commonly studied, yet they are tightly coupled to landscape properties and add relevant information on foraging behavio...
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ftdatacite:10.48550/arxiv.1112.3900 2023-05-15T16:00:56+02:00 The effects of spatially heterogeneous prey distributions on detection patterns in foraging seabirds Miramontes, Octavio Boyer, Denis Bartumeus, Frederic 2011 https://dx.doi.org/10.48550/arxiv.1112.3900 https://arxiv.org/abs/1112.3900 unknown arXiv https://dx.doi.org/10.1371/journal.pone.0034317 arXiv.org perpetual, non-exclusive license http://arxiv.org/licenses/nonexclusive-distrib/1.0/ Populations and Evolution q-bio.PE Statistical Mechanics cond-mat.stat-mech FOS Biological sciences FOS Physical sciences article-journal Article ScholarlyArticle Text 2011 ftdatacite https://doi.org/10.48550/arxiv.1112.3900 https://doi.org/10.1371/journal.pone.0034317 2022-04-01T14:05:42Z Many attempts to relate animal foraging patterns to landscape heterogeneity are focused on the analysis of foragers movements. Resource detection patterns in space and time are not commonly studied, yet they are tightly coupled to landscape properties and add relevant information on foraging behavior. By exploring simple foraging models in unpredictable environments we show that the distribution of intervals between detected prey (detection statistics)is mostly determined by the spatial structure of the prey field and essentially distinct from predator displacement statistics. Detections are expected to be Poissonian in uniform random environments for markedly different foraging movements (e.g. Lévy and ballistic). This prediction is supported by data on the time intervals between diving events on short-range foraging seabirds such as the thick-billed murre ({\it Uria lomvia}). However, Poissonian detection statistics is not observed in long-range seabirds such as the wandering albatross ({\it Diomedea exulans}) due to the fractal nature of the prey field, covering a wide range of spatial scales. For this scenario, models of fractal prey fields induce non-Poissonian patterns of detection in good agreement with two albatross data sets. We find that the specific shape of the distribution of time intervals between prey detection is mainly driven by meso and submeso-scale landscape structures and depends little on the forager strategy or behavioral responses. : Submitted first to PLoS-ONE on 26/9/2011. Final version published on 14/04/2012 Text Diomedea exulans thick-billed murre Uria lomvia Wandering Albatross uria DataCite Metadata Store (German National Library of Science and Technology) |
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collection |
DataCite Metadata Store (German National Library of Science and Technology) |
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topic |
Populations and Evolution q-bio.PE Statistical Mechanics cond-mat.stat-mech FOS Biological sciences FOS Physical sciences |
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Populations and Evolution q-bio.PE Statistical Mechanics cond-mat.stat-mech FOS Biological sciences FOS Physical sciences Miramontes, Octavio Boyer, Denis Bartumeus, Frederic The effects of spatially heterogeneous prey distributions on detection patterns in foraging seabirds |
topic_facet |
Populations and Evolution q-bio.PE Statistical Mechanics cond-mat.stat-mech FOS Biological sciences FOS Physical sciences |
description |
Many attempts to relate animal foraging patterns to landscape heterogeneity are focused on the analysis of foragers movements. Resource detection patterns in space and time are not commonly studied, yet they are tightly coupled to landscape properties and add relevant information on foraging behavior. By exploring simple foraging models in unpredictable environments we show that the distribution of intervals between detected prey (detection statistics)is mostly determined by the spatial structure of the prey field and essentially distinct from predator displacement statistics. Detections are expected to be Poissonian in uniform random environments for markedly different foraging movements (e.g. Lévy and ballistic). This prediction is supported by data on the time intervals between diving events on short-range foraging seabirds such as the thick-billed murre ({\it Uria lomvia}). However, Poissonian detection statistics is not observed in long-range seabirds such as the wandering albatross ({\it Diomedea exulans}) due to the fractal nature of the prey field, covering a wide range of spatial scales. For this scenario, models of fractal prey fields induce non-Poissonian patterns of detection in good agreement with two albatross data sets. We find that the specific shape of the distribution of time intervals between prey detection is mainly driven by meso and submeso-scale landscape structures and depends little on the forager strategy or behavioral responses. : Submitted first to PLoS-ONE on 26/9/2011. Final version published on 14/04/2012 |
format |
Text |
author |
Miramontes, Octavio Boyer, Denis Bartumeus, Frederic |
author_facet |
Miramontes, Octavio Boyer, Denis Bartumeus, Frederic |
author_sort |
Miramontes, Octavio |
title |
The effects of spatially heterogeneous prey distributions on detection patterns in foraging seabirds |
title_short |
The effects of spatially heterogeneous prey distributions on detection patterns in foraging seabirds |
title_full |
The effects of spatially heterogeneous prey distributions on detection patterns in foraging seabirds |
title_fullStr |
The effects of spatially heterogeneous prey distributions on detection patterns in foraging seabirds |
title_full_unstemmed |
The effects of spatially heterogeneous prey distributions on detection patterns in foraging seabirds |
title_sort |
effects of spatially heterogeneous prey distributions on detection patterns in foraging seabirds |
publisher |
arXiv |
publishDate |
2011 |
url |
https://dx.doi.org/10.48550/arxiv.1112.3900 https://arxiv.org/abs/1112.3900 |
genre |
Diomedea exulans thick-billed murre Uria lomvia Wandering Albatross uria |
genre_facet |
Diomedea exulans thick-billed murre Uria lomvia Wandering Albatross uria |
op_relation |
https://dx.doi.org/10.1371/journal.pone.0034317 |
op_rights |
arXiv.org perpetual, non-exclusive license http://arxiv.org/licenses/nonexclusive-distrib/1.0/ |
op_doi |
https://doi.org/10.48550/arxiv.1112.3900 https://doi.org/10.1371/journal.pone.0034317 |
_version_ |
1766396950414884864 |