Data from: Quantifying apart what belongs together: a multi-state species distribution modeling framework for species using distinct habitats ...
1. Species distribution models (SDMs) have been used to inform scientists and conservationists about the status and change of occurrence patterns in threatened species. Many mobile species use multiple functionally distinct habitats, and cannot occupy one habitat type without the other being within...
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Online Access: | https://dx.doi.org/10.5061/dryad.14mt7 https://datadryad.org/stash/dataset/doi:10.5061/dryad.14mt7 |
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ftdatacite:10.5061/dryad.14mt7 2024-02-04T10:00:10+01:00 Data from: Quantifying apart what belongs together: a multi-state species distribution modeling framework for species using distinct habitats ... Frans, Veronica F. Augé, Amélie A. Edelhoff, Hendrik A. Erasmi, Stefan Balkenhol, Niko Engler, Jan O. Edelhoff, Hendrik 2018 https://dx.doi.org/10.5061/dryad.14mt7 https://datadryad.org/stash/dataset/doi:10.5061/dryad.14mt7 en eng Dryad https://dx.doi.org/10.1111/2041-210x.12847 Creative Commons Zero v1.0 Universal https://creativecommons.org/publicdomain/zero/1.0/legalcode cc0-1.0 terrestrial habitat use 2001-2003 Phocarctos hookeri Dataset dataset 2018 ftdatacite https://doi.org/10.5061/dryad.14mt710.1111/2041-210x.12847 2024-01-05T00:42:33Z 1. Species distribution models (SDMs) have been used to inform scientists and conservationists about the status and change of occurrence patterns in threatened species. Many mobile species use multiple functionally distinct habitats, and cannot occupy one habitat type without the other being within a reachable distance. For such species, classical applications of SDMs might lead to erroneous representations of habitat suitability, as the complex relationships between predictors are lost when merging occurrence information across multiple habitats. To better account for the spatial arrangement of complementary—yet mandatory—habitat types, it is important to implement modeling strategies that partition occurrence information according to habitat use in a spatial context. Here, we address this issue by introducing a multi-state SDM framework. 2. The multi-state SDM framework stratifies occurrences according to the temporal or behavioral use of distinct habitat types, referred to as “states.” Multiple SDMs are ... : NZ-Sea-Lion_Enderby_GPS_locations-2001-03This is an excel file that contains daily GPS locations of breeding branded New Zealand sea lion females that were obtained manually at the breeding aggregation on Enderby Island over the breeding period (Dec-March) for 2 years (for more details on methodology see Augé et al. 2009 DOI: 10.1163/15683909X427687). Tag is the brand number. Lat and Long are in NZGD2000. ... Dataset Enderby Island DataCite Metadata Store (German National Library of Science and Technology) New Zealand |
institution |
Open Polar |
collection |
DataCite Metadata Store (German National Library of Science and Technology) |
op_collection_id |
ftdatacite |
language |
English |
topic |
terrestrial habitat use 2001-2003 Phocarctos hookeri |
spellingShingle |
terrestrial habitat use 2001-2003 Phocarctos hookeri Frans, Veronica F. Augé, Amélie A. Edelhoff, Hendrik A. Erasmi, Stefan Balkenhol, Niko Engler, Jan O. Edelhoff, Hendrik Data from: Quantifying apart what belongs together: a multi-state species distribution modeling framework for species using distinct habitats ... |
topic_facet |
terrestrial habitat use 2001-2003 Phocarctos hookeri |
description |
1. Species distribution models (SDMs) have been used to inform scientists and conservationists about the status and change of occurrence patterns in threatened species. Many mobile species use multiple functionally distinct habitats, and cannot occupy one habitat type without the other being within a reachable distance. For such species, classical applications of SDMs might lead to erroneous representations of habitat suitability, as the complex relationships between predictors are lost when merging occurrence information across multiple habitats. To better account for the spatial arrangement of complementary—yet mandatory—habitat types, it is important to implement modeling strategies that partition occurrence information according to habitat use in a spatial context. Here, we address this issue by introducing a multi-state SDM framework. 2. The multi-state SDM framework stratifies occurrences according to the temporal or behavioral use of distinct habitat types, referred to as “states.” Multiple SDMs are ... : NZ-Sea-Lion_Enderby_GPS_locations-2001-03This is an excel file that contains daily GPS locations of breeding branded New Zealand sea lion females that were obtained manually at the breeding aggregation on Enderby Island over the breeding period (Dec-March) for 2 years (for more details on methodology see Augé et al. 2009 DOI: 10.1163/15683909X427687). Tag is the brand number. Lat and Long are in NZGD2000. ... |
format |
Dataset |
author |
Frans, Veronica F. Augé, Amélie A. Edelhoff, Hendrik A. Erasmi, Stefan Balkenhol, Niko Engler, Jan O. Edelhoff, Hendrik |
author_facet |
Frans, Veronica F. Augé, Amélie A. Edelhoff, Hendrik A. Erasmi, Stefan Balkenhol, Niko Engler, Jan O. Edelhoff, Hendrik |
author_sort |
Frans, Veronica F. |
title |
Data from: Quantifying apart what belongs together: a multi-state species distribution modeling framework for species using distinct habitats ... |
title_short |
Data from: Quantifying apart what belongs together: a multi-state species distribution modeling framework for species using distinct habitats ... |
title_full |
Data from: Quantifying apart what belongs together: a multi-state species distribution modeling framework for species using distinct habitats ... |
title_fullStr |
Data from: Quantifying apart what belongs together: a multi-state species distribution modeling framework for species using distinct habitats ... |
title_full_unstemmed |
Data from: Quantifying apart what belongs together: a multi-state species distribution modeling framework for species using distinct habitats ... |
title_sort |
data from: quantifying apart what belongs together: a multi-state species distribution modeling framework for species using distinct habitats ... |
publisher |
Dryad |
publishDate |
2018 |
url |
https://dx.doi.org/10.5061/dryad.14mt7 https://datadryad.org/stash/dataset/doi:10.5061/dryad.14mt7 |
geographic |
New Zealand |
geographic_facet |
New Zealand |
genre |
Enderby Island |
genre_facet |
Enderby Island |
op_relation |
https://dx.doi.org/10.1111/2041-210x.12847 |
op_rights |
Creative Commons Zero v1.0 Universal https://creativecommons.org/publicdomain/zero/1.0/legalcode cc0-1.0 |
op_doi |
https://doi.org/10.5061/dryad.14mt710.1111/2041-210x.12847 |
_version_ |
1789965323749818368 |