Data from: Influence of device accuracy and choice of algorithm for species distribution modelling of seabirds: a case study using black-browed albatrosses
Species distribution models (SDM) based on tracking data from different devices are used increasingly to explain and predict seabird distributions. However, different tracking methods provide different data resolutions, ranging from < 10m to >100km. To better understand the implications of thi...
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ftdryad:oai:v1.datadryad.org:10255/dryad.137422 2023-05-15T18:25:32+02:00 Data from: Influence of device accuracy and choice of algorithm for species distribution modelling of seabirds: a case study using black-browed albatrosses Quillfeldt, Petra Engler, Jan O. Silk, Janet R. D. Phillips, Richard A. Southern Ocean South Georgia 2017-02-07T15:04:37Z http://hdl.handle.net/10255/dryad.137422 https://doi.org/10.5061/dryad.377mc unknown doi:10.5061/dryad.377mc/1 doi:10.1111/jav.01238 doi:10.5061/dryad.377mc Quillfeldt P, Engler JO, Silk JRD, Phillips RA (2017) Influence of device accuracy and choice of algorithm for species distribution modelling of seabirds: a case study using black-browed albatrosses. Journal of Avian Biology 48(12):1549–1555. 0908-8857 http://hdl.handle.net/10255/dryad.137422 Marine bird Maxent ensemble modelling Article 2017 ftdryad https://doi.org/10.5061/dryad.377mc https://doi.org/10.5061/dryad.377mc/1 https://doi.org/10.1111/jav.01238 2020-01-01T15:46:26Z Species distribution models (SDM) based on tracking data from different devices are used increasingly to explain and predict seabird distributions. However, different tracking methods provide different data resolutions, ranging from < 10m to >100km. To better understand the implications of this variation, we modeled the potential distribution of black-browed albatrosses Thalassarche melanophris from South Georgia that were simultaneously equipped with a Platform Terminal Transmitter (PTT) (high resolution) and a Global Location Sensor (GLS) logger (coarse resolution), and measured the overlap of the respective potential distribution for a total of nine different SDM algorithms. We found slightly better model fits for the PTT than for GLS data (AUC values 0.958±0.048 vs. 0.95±0.05) across all algorithms. The overlaps of the predicted distributions were higher between device types for the same algorithm, than among algorithms for either device type. Uncertainty arising from coarse-resolution location data is therefore lower than that associated with the modeling technique. Consequently, the choice of an appropriate algorithm appears to be more important than device type when applying SDMs to seabird tracking data. Despite their low accuracy, GLS data appear to be effective for analyzing the habitat preferences and distribution patterns of pelagic species. Article in Journal/Newspaper Southern Ocean Dryad Digital Repository (Duke University) Southern Ocean |
institution |
Open Polar |
collection |
Dryad Digital Repository (Duke University) |
op_collection_id |
ftdryad |
language |
unknown |
topic |
Marine bird Maxent ensemble modelling |
spellingShingle |
Marine bird Maxent ensemble modelling Quillfeldt, Petra Engler, Jan O. Silk, Janet R. D. Phillips, Richard A. Data from: Influence of device accuracy and choice of algorithm for species distribution modelling of seabirds: a case study using black-browed albatrosses |
topic_facet |
Marine bird Maxent ensemble modelling |
description |
Species distribution models (SDM) based on tracking data from different devices are used increasingly to explain and predict seabird distributions. However, different tracking methods provide different data resolutions, ranging from < 10m to >100km. To better understand the implications of this variation, we modeled the potential distribution of black-browed albatrosses Thalassarche melanophris from South Georgia that were simultaneously equipped with a Platform Terminal Transmitter (PTT) (high resolution) and a Global Location Sensor (GLS) logger (coarse resolution), and measured the overlap of the respective potential distribution for a total of nine different SDM algorithms. We found slightly better model fits for the PTT than for GLS data (AUC values 0.958±0.048 vs. 0.95±0.05) across all algorithms. The overlaps of the predicted distributions were higher between device types for the same algorithm, than among algorithms for either device type. Uncertainty arising from coarse-resolution location data is therefore lower than that associated with the modeling technique. Consequently, the choice of an appropriate algorithm appears to be more important than device type when applying SDMs to seabird tracking data. Despite their low accuracy, GLS data appear to be effective for analyzing the habitat preferences and distribution patterns of pelagic species. |
format |
Article in Journal/Newspaper |
author |
Quillfeldt, Petra Engler, Jan O. Silk, Janet R. D. Phillips, Richard A. |
author_facet |
Quillfeldt, Petra Engler, Jan O. Silk, Janet R. D. Phillips, Richard A. |
author_sort |
Quillfeldt, Petra |
title |
Data from: Influence of device accuracy and choice of algorithm for species distribution modelling of seabirds: a case study using black-browed albatrosses |
title_short |
Data from: Influence of device accuracy and choice of algorithm for species distribution modelling of seabirds: a case study using black-browed albatrosses |
title_full |
Data from: Influence of device accuracy and choice of algorithm for species distribution modelling of seabirds: a case study using black-browed albatrosses |
title_fullStr |
Data from: Influence of device accuracy and choice of algorithm for species distribution modelling of seabirds: a case study using black-browed albatrosses |
title_full_unstemmed |
Data from: Influence of device accuracy and choice of algorithm for species distribution modelling of seabirds: a case study using black-browed albatrosses |
title_sort |
data from: influence of device accuracy and choice of algorithm for species distribution modelling of seabirds: a case study using black-browed albatrosses |
publishDate |
2017 |
url |
http://hdl.handle.net/10255/dryad.137422 https://doi.org/10.5061/dryad.377mc |
op_coverage |
Southern Ocean South Georgia |
geographic |
Southern Ocean |
geographic_facet |
Southern Ocean |
genre |
Southern Ocean |
genre_facet |
Southern Ocean |
op_relation |
doi:10.5061/dryad.377mc/1 doi:10.1111/jav.01238 doi:10.5061/dryad.377mc Quillfeldt P, Engler JO, Silk JRD, Phillips RA (2017) Influence of device accuracy and choice of algorithm for species distribution modelling of seabirds: a case study using black-browed albatrosses. Journal of Avian Biology 48(12):1549–1555. 0908-8857 http://hdl.handle.net/10255/dryad.137422 |
op_doi |
https://doi.org/10.5061/dryad.377mc https://doi.org/10.5061/dryad.377mc/1 https://doi.org/10.1111/jav.01238 |
_version_ |
1766207049696280576 |