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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fttriple:oai:gotriple.eu:50|dedup_wf_001::09ed95f2669eb79c6677930b076588af 2023-05-15T16:06:10+02:00 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 2017-01-01 https://doi.org/10.5061/dryad.14mt7 undefined unknown http://dx.doi.org/10.5061/dryad.14mt7 https://dx.doi.org/10.5061/dryad.14mt7 lic_creative-commons oai:services.nod.dans.knaw.nl:Products/dans:oai:easy.dans.knaw.nl:easy-dataset:97912 10.5061/dryad.14mt7 oai:easy.dans.knaw.nl:easy-dataset:97912 10|eurocrisdris::fe4903425d9040f680d8610d9079ea14 10|openaire____::9e3be59865b2c1c335d32dae2fe7b254 10|re3data_____::94816e6421eeb072e7742ce6a9decc5f 10|re3data_____::84e123776089ce3c7a33db98d9cd15a8 10|openaire____::081b82f96300b6a6e3d282bad31cb6e2 re3data_____::r3d100000044 Life sciences medicine and health care terrestrial habitat use 2001-2003 Phocarctos hookeri Enderby Island envir geo Dataset https://vocabularies.coar-repositories.org/resource_types/c_ddb1/ 2017 fttriple https://doi.org/10.5061/dryad.14mt7 2023-01-22T17:22:47Z 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 then run for each state and statistical thresholds of presence are used to combine these separate predictions. To identify suitable sites that account for distance between habitats, two optional modules are proposed where the thresholded output is aggregated and filtered by minimum area size, or through moving windows across maximum reachable distances. 3. We illustrate the full use of this framework by modeling the dynamic terrestrial breeding habitat preferences of the New Zealand sea lion (NZSL; Phocarctos hookeri), using Maxent and trialing both modules to identify suitable sites for possible recolonization. 4. The Maxent predictions showed excellent performance, and the multi-state SDM framework highlighted 36 to 77 potential suitable breeding sites in the study area. 5. This framework can be applied to inform management when defining habitat suitability for species with complex changes in habitat use. It accounts for temporal and behavioral changes in distribution, maintains the individuality of each ... Dataset Enderby Island Unknown New Zealand |
institution |
Open Polar |
collection |
Unknown |
op_collection_id |
fttriple |
language |
unknown |
topic |
Life sciences medicine and health care terrestrial habitat use 2001-2003 Phocarctos hookeri Enderby Island envir geo |
spellingShingle |
Life sciences medicine and health care terrestrial habitat use 2001-2003 Phocarctos hookeri Enderby Island envir geo 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 |
Life sciences medicine and health care terrestrial habitat use 2001-2003 Phocarctos hookeri Enderby Island envir geo |
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 then run for each state and statistical thresholds of presence are used to combine these separate predictions. To identify suitable sites that account for distance between habitats, two optional modules are proposed where the thresholded output is aggregated and filtered by minimum area size, or through moving windows across maximum reachable distances. 3. We illustrate the full use of this framework by modeling the dynamic terrestrial breeding habitat preferences of the New Zealand sea lion (NZSL; Phocarctos hookeri), using Maxent and trialing both modules to identify suitable sites for possible recolonization. 4. The Maxent predictions showed excellent performance, and the multi-state SDM framework highlighted 36 to 77 potential suitable breeding sites in the study area. 5. This framework can be applied to inform management when defining habitat suitability for species with complex changes in habitat use. It accounts for temporal and behavioral changes in distribution, maintains the individuality of each ... |
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 |
publishDate |
2017 |
url |
https://doi.org/10.5061/dryad.14mt7 |
geographic |
New Zealand |
geographic_facet |
New Zealand |
genre |
Enderby Island |
genre_facet |
Enderby Island |
op_source |
oai:services.nod.dans.knaw.nl:Products/dans:oai:easy.dans.knaw.nl:easy-dataset:97912 10.5061/dryad.14mt7 oai:easy.dans.knaw.nl:easy-dataset:97912 10|eurocrisdris::fe4903425d9040f680d8610d9079ea14 10|openaire____::9e3be59865b2c1c335d32dae2fe7b254 10|re3data_____::94816e6421eeb072e7742ce6a9decc5f 10|re3data_____::84e123776089ce3c7a33db98d9cd15a8 10|openaire____::081b82f96300b6a6e3d282bad31cb6e2 re3data_____::r3d100000044 |
op_relation |
http://dx.doi.org/10.5061/dryad.14mt7 https://dx.doi.org/10.5061/dryad.14mt7 |
op_rights |
lic_creative-commons |
op_doi |
https://doi.org/10.5061/dryad.14mt7 |
_version_ |
1766402075779923968 |