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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fttriple:oai:gotriple.eu:50|dedup_wf_001::1255c3dab968cc6ff3b856a8c15e42d1 2023-05-15T13:46:29+02:00 Data from: Ultra-fine scale spatially-integrated mapping of habitat and occupancy using structure-from-motion McDowall, Philip Lynch, Heather J. 2017-11-15 https://doi.org/10.5061/dryad.2j420 undefined unknown http://dx.doi.org/10.5061/dryad.2j420 https://dx.doi.org/10.5061/dryad.2j420 lic_creative-commons oai:services.nod.dans.knaw.nl:Products/dans:oai:easy.dans.knaw.nl:easy-dataset:96259 10.5061/dryad.2j420 oai:easy.dans.knaw.nl:easy-dataset:96259 10|eurocrisdris::fe4903425d9040f680d8610d9079ea14 10|openaire____::9e3be59865b2c1c335d32dae2fe7b254 10|re3data_____::94816e6421eeb072e7742ce6a9decc5f 10|re3data_____::84e123776089ce3c7a33db98d9cd15a8 re3data_____::r3d100000044 10|openaire____::081b82f96300b6a6e3d282bad31cb6e2 Life sciences medicine and health care Nesting Point pattern Pygoscelis papua seabirds habitat suitability Structure from Motion penguins Antarctica Port Lockroy envir geo Dataset https://vocabularies.coar-repositories.org/resource_types/c_ddb1/ 2017 fttriple https://doi.org/10.5061/dryad.2j420 2023-01-22T17:41:46Z 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. ElevationRaster (.tif) - Digital Surface Model of Port Lockroy on the Western Antarctic Peninsula. Created through Structure from Motion using Agisoft Photoscan. Projection EPSG: 3031 (Antarctic Stereographic).elevation.zipCost Distance RasterRaster (.tif) - Cost weighted ... Dataset Antarc* Antarctic Antarctic Peninsula Antarctica Gentoo penguin Pygoscelis papua Unknown Antarctic Antarctic Peninsula Lockroy ENVELOPE(-63.500,-63.500,-64.817,-64.817) Port Lockroy ENVELOPE(-63.500,-63.500,-64.817,-64.817) |
institution |
Open Polar |
collection |
Unknown |
op_collection_id |
fttriple |
language |
unknown |
topic |
Life sciences medicine and health care Nesting Point pattern Pygoscelis papua seabirds habitat suitability Structure from Motion penguins Antarctica Port Lockroy envir geo |
spellingShingle |
Life sciences medicine and health care Nesting Point pattern Pygoscelis papua seabirds habitat suitability Structure from Motion penguins Antarctica Port Lockroy envir geo 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 Nesting Point pattern Pygoscelis papua seabirds habitat suitability Structure from Motion penguins Antarctica Port Lockroy envir geo |
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. ElevationRaster (.tif) - Digital Surface Model of Port Lockroy on the Western Antarctic Peninsula. Created through Structure from Motion using Agisoft Photoscan. Projection EPSG: 3031 (Antarctic Stereographic).elevation.zipCost Distance RasterRaster (.tif) - Cost weighted ... |
format |
Dataset |
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 |
https://doi.org/10.5061/dryad.2j420 |
long_lat |
ENVELOPE(-63.500,-63.500,-64.817,-64.817) ENVELOPE(-63.500,-63.500,-64.817,-64.817) |
geographic |
Antarctic Antarctic Peninsula Lockroy Port Lockroy |
geographic_facet |
Antarctic Antarctic Peninsula Lockroy Port Lockroy |
genre |
Antarc* Antarctic Antarctic Peninsula Antarctica Gentoo penguin Pygoscelis papua |
genre_facet |
Antarc* Antarctic Antarctic Peninsula Antarctica Gentoo penguin Pygoscelis papua |
op_source |
oai:services.nod.dans.knaw.nl:Products/dans:oai:easy.dans.knaw.nl:easy-dataset:96259 10.5061/dryad.2j420 oai:easy.dans.knaw.nl:easy-dataset:96259 10|eurocrisdris::fe4903425d9040f680d8610d9079ea14 10|openaire____::9e3be59865b2c1c335d32dae2fe7b254 10|re3data_____::94816e6421eeb072e7742ce6a9decc5f 10|re3data_____::84e123776089ce3c7a33db98d9cd15a8 re3data_____::r3d100000044 10|openaire____::081b82f96300b6a6e3d282bad31cb6e2 |
op_relation |
http://dx.doi.org/10.5061/dryad.2j420 https://dx.doi.org/10.5061/dryad.2j420 |
op_rights |
lic_creative-commons |
op_doi |
https://doi.org/10.5061/dryad.2j420 |
_version_ |
1766243226495221760 |