Ultra-Fine Scale Spatially-Integrated Mapping of Habitat and Occupancy Using Structure-From-Motion.
Organisms respond to and often simultaneously modify their environment. While these interactions are apparent at the landscape extent, the driving mechanisms often occur at very fine spatial scales. Structure-from-Motion (SfM), a computer vision technique, allows the simultaneous mapping of organism...
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ftdoajarticles:oai:doaj.org/article:1bba696ef77f487e8985da742eab6cc6 2023-05-15T16:19:36+02:00 Ultra-Fine Scale Spatially-Integrated Mapping of Habitat and Occupancy Using Structure-From-Motion. Philip McDowall Heather J Lynch 2017-01-01T00:00:00Z https://doi.org/10.1371/journal.pone.0166773 https://doaj.org/article/1bba696ef77f487e8985da742eab6cc6 EN eng Public Library of Science (PLoS) http://europepmc.org/articles/PMC5226803?pdf=render https://doaj.org/toc/1932-6203 1932-6203 doi:10.1371/journal.pone.0166773 https://doaj.org/article/1bba696ef77f487e8985da742eab6cc6 PLoS ONE, Vol 12, Iss 1, p e0166773 (2017) Medicine R Science Q article 2017 ftdoajarticles https://doi.org/10.1371/journal.pone.0166773 2022-12-31T03:40:01Z Organisms respond to and often simultaneously modify their environment. While these interactions are apparent at the landscape extent, the driving mechanisms often occur at very fine spatial scales. Structure-from-Motion (SfM), a computer vision technique, allows the simultaneous mapping of organisms and fine scale habitat, and will greatly improve our understanding of habitat suitability, ecophysiology, and the bi-directional relationship between geomorphology and habitat use. SfM can be used to create high-resolution (centimeter-scale) three-dimensional (3D) habitat models at low cost. These models can capture the abiotic conditions formed by terrain and simultaneously record the position of individual organisms within that terrain. While coloniality is common in seabird species, we have a poor understanding of the extent to which dense breeding aggregations are driven by fine-scale active aggregation or limited suitable habitat. We demonstrate the use of SfM for fine-scale habitat suitability by reconstructing the locations of nests in a gentoo penguin colony and fitting models that explicitly account for conspecific attraction. The resulting digital elevation models (DEMs) are used as covariates in an inhomogeneous hybrid point process model. We find that gentoo penguin nest site selection is a function of the topography of the landscape, but that nests are far more aggregated than would be expected based on terrain alone, suggesting a strong role of behavioral aggregation in driving coloniality in this species. This integrated mapping of organisms and fine scale habitat will greatly improve our understanding of fine-scale habitat suitability, ecophysiology, and the complex bi-directional relationship between geomorphology and habitat use. Article in Journal/Newspaper Gentoo penguin Directory of Open Access Journals: DOAJ Articles PLOS ONE 12 1 e0166773 |
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Directory of Open Access Journals: DOAJ Articles |
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ftdoajarticles |
language |
English |
topic |
Medicine R Science Q |
spellingShingle |
Medicine R Science Q Philip McDowall Heather J Lynch Ultra-Fine Scale Spatially-Integrated Mapping of Habitat and Occupancy Using Structure-From-Motion. |
topic_facet |
Medicine R Science Q |
description |
Organisms respond to and often simultaneously modify their environment. While these interactions are apparent at the landscape extent, the driving mechanisms often occur at very fine spatial scales. Structure-from-Motion (SfM), a computer vision technique, allows the simultaneous mapping of organisms and fine scale habitat, and will greatly improve our understanding of habitat suitability, ecophysiology, and the bi-directional relationship between geomorphology and habitat use. SfM can be used to create high-resolution (centimeter-scale) three-dimensional (3D) habitat models at low cost. These models can capture the abiotic conditions formed by terrain and simultaneously record the position of individual organisms within that terrain. While coloniality is common in seabird species, we have a poor understanding of the extent to which dense breeding aggregations are driven by fine-scale active aggregation or limited suitable habitat. We demonstrate the use of SfM for fine-scale habitat suitability by reconstructing the locations of nests in a gentoo penguin colony and fitting models that explicitly account for conspecific attraction. The resulting digital elevation models (DEMs) are used as covariates in an inhomogeneous hybrid point process model. We find that gentoo penguin nest site selection is a function of the topography of the landscape, but that nests are far more aggregated than would be expected based on terrain alone, suggesting a strong role of behavioral aggregation in driving coloniality in this species. This integrated mapping of organisms and fine scale habitat will greatly improve our understanding of fine-scale habitat suitability, ecophysiology, and the complex bi-directional relationship between geomorphology and habitat use. |
format |
Article in Journal/Newspaper |
author |
Philip McDowall Heather J Lynch |
author_facet |
Philip McDowall Heather J Lynch |
author_sort |
Philip McDowall |
title |
Ultra-Fine Scale Spatially-Integrated Mapping of Habitat and Occupancy Using Structure-From-Motion. |
title_short |
Ultra-Fine Scale Spatially-Integrated Mapping of Habitat and Occupancy Using Structure-From-Motion. |
title_full |
Ultra-Fine Scale Spatially-Integrated Mapping of Habitat and Occupancy Using Structure-From-Motion. |
title_fullStr |
Ultra-Fine Scale Spatially-Integrated Mapping of Habitat and Occupancy Using Structure-From-Motion. |
title_full_unstemmed |
Ultra-Fine Scale Spatially-Integrated Mapping of Habitat and Occupancy Using Structure-From-Motion. |
title_sort |
ultra-fine scale spatially-integrated mapping of habitat and occupancy using structure-from-motion. |
publisher |
Public Library of Science (PLoS) |
publishDate |
2017 |
url |
https://doi.org/10.1371/journal.pone.0166773 https://doaj.org/article/1bba696ef77f487e8985da742eab6cc6 |
genre |
Gentoo penguin |
genre_facet |
Gentoo penguin |
op_source |
PLoS ONE, Vol 12, Iss 1, p e0166773 (2017) |
op_relation |
http://europepmc.org/articles/PMC5226803?pdf=render https://doaj.org/toc/1932-6203 1932-6203 doi:10.1371/journal.pone.0166773 https://doaj.org/article/1bba696ef77f487e8985da742eab6cc6 |
op_doi |
https://doi.org/10.1371/journal.pone.0166773 |
container_title |
PLOS ONE |
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12 |
container_issue |
1 |
container_start_page |
e0166773 |
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1766006018533228544 |