Data from: 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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Main Authors: McDowall, Philip, Lynch, Heather J.
Language:unknown
Published: 2017
Subjects:
Online Access:http://nbn-resolving.org/urn:nbn:nl:ui:13-jx-9ods
https://easy.dans.knaw.nl/ui/datasets/id/easy-dataset:96259
id ftdans:oai:easy.dans.knaw.nl:easy-dataset:96259
record_format openpolar
spelling ftdans:oai:easy.dans.knaw.nl:easy-dataset:96259 2023-07-02T03:32:18+02:00 Data from: Ultra-fine scale spatially-integrated mapping of habitat and occupancy using structure-from-motion McDowall, Philip Lynch, Heather J. 2017-01-26T14:06:41.000+01:00 http://nbn-resolving.org/urn:nbn:nl:ui:13-jx-9ods https://easy.dans.knaw.nl/ui/datasets/id/easy-dataset:96259 unknown doi:10.5061/dryad.2j420/1 doi:10.5061/dryad.2j420/2 doi:10.5061/dryad.2j420/3 doi:10.5061/dryad.2j420/4 doi:10.5061/dryad.2j420/5 doi:10.5061/dryad.2j420/6 doi:10.1371/journal.pone.0166773 http://nbn-resolving.org/urn:nbn:nl:ui:13-jx-9ods doi:10.5061/dryad.2j420 https://easy.dans.knaw.nl/ui/datasets/id/easy-dataset:96259 OPEN_ACCESS: The data are archived in Easy, they are accessible elsewhere through the DOI https://dans.knaw.nl/en/about/organisation-and-policy/legal-information/DANSLicence.pdf Life sciences medicine and health care 2017 ftdans https://doi.org/10.5061/dryad.2j420/110.5061/dryad.2j420/210.5061/dryad.2j420/310.5061/dryad.2j420/410.5061/dryad.2j420/510.5061/dryad.2j420/610.1371/journal.pone.016677310.5061/dryad.2j420 2023-06-13T13:23:56Z 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. Other/Unknown Material Gentoo penguin Data Archiving and Networked Services (DANS): EASY (KNAW - Koninklijke Nederlandse Akademie van Wetenschappen)
institution Open Polar
collection Data Archiving and Networked Services (DANS): EASY (KNAW - Koninklijke Nederlandse Akademie van Wetenschappen)
op_collection_id ftdans
language unknown
topic Life sciences
medicine and health care
spellingShingle Life sciences
medicine and health care
McDowall, Philip
Lynch, Heather J.
Data from: Ultra-fine scale spatially-integrated mapping of habitat and occupancy using structure-from-motion
topic_facet Life sciences
medicine and health care
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.
author McDowall, Philip
Lynch, Heather J.
author_facet McDowall, Philip
Lynch, Heather J.
author_sort McDowall, Philip
title Data from: Ultra-fine scale spatially-integrated mapping of habitat and occupancy using structure-from-motion
title_short Data from: Ultra-fine scale spatially-integrated mapping of habitat and occupancy using structure-from-motion
title_full Data from: Ultra-fine scale spatially-integrated mapping of habitat and occupancy using structure-from-motion
title_fullStr Data from: Ultra-fine scale spatially-integrated mapping of habitat and occupancy using structure-from-motion
title_full_unstemmed Data from: Ultra-fine scale spatially-integrated mapping of habitat and occupancy using structure-from-motion
title_sort data from: ultra-fine scale spatially-integrated mapping of habitat and occupancy using structure-from-motion
publishDate 2017
url http://nbn-resolving.org/urn:nbn:nl:ui:13-jx-9ods
https://easy.dans.knaw.nl/ui/datasets/id/easy-dataset:96259
genre Gentoo penguin
genre_facet Gentoo penguin
op_relation doi:10.5061/dryad.2j420/1
doi:10.5061/dryad.2j420/2
doi:10.5061/dryad.2j420/3
doi:10.5061/dryad.2j420/4
doi:10.5061/dryad.2j420/5
doi:10.5061/dryad.2j420/6
doi:10.1371/journal.pone.0166773
http://nbn-resolving.org/urn:nbn:nl:ui:13-jx-9ods
doi:10.5061/dryad.2j420
https://easy.dans.knaw.nl/ui/datasets/id/easy-dataset:96259
op_rights OPEN_ACCESS: The data are archived in Easy, they are accessible elsewhere through the DOI
https://dans.knaw.nl/en/about/organisation-and-policy/legal-information/DANSLicence.pdf
op_doi https://doi.org/10.5061/dryad.2j420/110.5061/dryad.2j420/210.5061/dryad.2j420/310.5061/dryad.2j420/410.5061/dryad.2j420/510.5061/dryad.2j420/610.1371/journal.pone.016677310.5061/dryad.2j420
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