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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ftdoajarticles:oai:doaj.org/article:73b9f82d37c142eaa238bab4352bffbe 2023-05-15T16:00:56+02:00 The effects of spatially heterogeneous prey distributions on detection patterns in foraging seabirds. Octavio Miramontes Denis Boyer Frederic Bartumeus 2012-01-01T00:00:00Z https://doi.org/10.1371/journal.pone.0034317 https://doaj.org/article/73b9f82d37c142eaa238bab4352bffbe EN eng Public Library of Science (PLoS) http://europepmc.org/articles/PMC3326003?pdf=render https://doaj.org/toc/1932-6203 1932-6203 doi:10.1371/journal.pone.0034317 https://doaj.org/article/73b9f82d37c142eaa238bab4352bffbe PLoS ONE, Vol 7, Iss 4, p e34317 (2012) Medicine R Science Q article 2012 ftdoajarticles https://doi.org/10.1371/journal.pone.0034317 2022-12-31T01:30:24Z 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 (Uria lomvia). However, Poissonian detection statistics is not observed in long-range seabirds such as the wandering albatross (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. Article in Journal/Newspaper Diomedea exulans thick-billed murre Uria lomvia Wandering Albatross uria Directory of Open Access Journals: DOAJ Articles PLoS ONE 7 4 e34317 |
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Directory of Open Access Journals: DOAJ Articles |
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Medicine R Science Q |
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Medicine R Science Q Octavio Miramontes Denis Boyer Frederic Bartumeus The effects of spatially heterogeneous prey distributions on detection patterns in foraging seabirds. |
topic_facet |
Medicine R Science Q |
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 (Uria lomvia). However, Poissonian detection statistics is not observed in long-range seabirds such as the wandering albatross (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. |
format |
Article in Journal/Newspaper |
author |
Octavio Miramontes Denis Boyer Frederic Bartumeus |
author_facet |
Octavio Miramontes Denis Boyer Frederic Bartumeus |
author_sort |
Octavio Miramontes |
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 |
Public Library of Science (PLoS) |
publishDate |
2012 |
url |
https://doi.org/10.1371/journal.pone.0034317 https://doaj.org/article/73b9f82d37c142eaa238bab4352bffbe |
genre |
Diomedea exulans thick-billed murre Uria lomvia Wandering Albatross uria |
genre_facet |
Diomedea exulans thick-billed murre Uria lomvia Wandering Albatross uria |
op_source |
PLoS ONE, Vol 7, Iss 4, p e34317 (2012) |
op_relation |
http://europepmc.org/articles/PMC3326003?pdf=render https://doaj.org/toc/1932-6203 1932-6203 doi:10.1371/journal.pone.0034317 https://doaj.org/article/73b9f82d37c142eaa238bab4352bffbe |
op_doi |
https://doi.org/10.1371/journal.pone.0034317 |
container_title |
PLoS ONE |
container_volume |
7 |
container_issue |
4 |
container_start_page |
e34317 |
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1766396942910226432 |