Biologically informed ecological niche models for an example pelagic, highly mobile species
Background: Although pelagic seabirds are broadly recognised as indicators of the health of marine systems, numerous gaps exist in knowledge of their at-sea distributions at the species level. These gaps have profound negative impacts on the robustness of marine conservation policies. Correlative mo...
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ftdoajarticles:oai:doaj.org/article:f5348cdc195e4ed0b43a5070fb5817ac 2023-05-15T16:00:54+02:00 Biologically informed ecological niche models for an example pelagic, highly mobile species Ingenloff Kate 2017-03-01T00:00:00Z https://doi.org/10.1515/eje-2017-0006 https://doaj.org/article/f5348cdc195e4ed0b43a5070fb5817ac EN eng Sciendo http://www.degruyter.com/view/j/eje.2017.3.issue-1/eje-2017-0006/eje-2017-0006.xml?format=INT https://doaj.org/toc/1339-8474 1339-8474 doi:10.1515/eje-2017-0006 https://doaj.org/article/f5348cdc195e4ed0b43a5070fb5817ac European Journal of Ecology, Vol 3, Iss 1, Pp 55-75 (2017) Boosted regression trees digital accessible knowledge distribution modelling Maxent minimum volume ellipsoids pelagic seabird distribution Diomedea exulans Ecology QH540-549.5 article 2017 ftdoajarticles https://doi.org/10.1515/eje-2017-0006 2022-12-30T21:30:16Z Background: Although pelagic seabirds are broadly recognised as indicators of the health of marine systems, numerous gaps exist in knowledge of their at-sea distributions at the species level. These gaps have profound negative impacts on the robustness of marine conservation policies. Correlative modelling techniques have provided some information, but few studies have explored model development for non-breeding pelagic seabirds. Here, I present a first phase in developing robust niche models for highly mobile species as a baseline for further development. Methodology: Using observational data from a 12-year time period, 217 unique model parameterisations across three correlative modelling algorithms (boosted regression trees, Maxent and minimum volume ellipsoids) were tested in a time-averaged approach for their ability to recreate the at-sea distribution of non-breeding Wandering Albatrosses (Diomedea exulans) to provide a baseline for further development. Principle Findings/Results: Overall, minimum volume ellipsoids outperformed both boosted regression trees and Maxent. However, whilst the latter two algorithms generally overfit the data, minimum volume ellipsoids tended to underfit the data. Conclusions: The results of this exercise suggest a necessary evolution in how correlative modelling for highly mobile species such as pelagic seabirds should be approached. These insights are crucial for understanding seabird-environment interactions at macroscales, which can facilitate the ability to address population declines and inform effective marine conservation policy in the wake of rapid global change. Article in Journal/Newspaper Diomedea exulans Directory of Open Access Journals: DOAJ Articles European Journal of Ecology 3 1 55 75 |
institution |
Open Polar |
collection |
Directory of Open Access Journals: DOAJ Articles |
op_collection_id |
ftdoajarticles |
language |
English |
topic |
Boosted regression trees digital accessible knowledge distribution modelling Maxent minimum volume ellipsoids pelagic seabird distribution Diomedea exulans Ecology QH540-549.5 |
spellingShingle |
Boosted regression trees digital accessible knowledge distribution modelling Maxent minimum volume ellipsoids pelagic seabird distribution Diomedea exulans Ecology QH540-549.5 Ingenloff Kate Biologically informed ecological niche models for an example pelagic, highly mobile species |
topic_facet |
Boosted regression trees digital accessible knowledge distribution modelling Maxent minimum volume ellipsoids pelagic seabird distribution Diomedea exulans Ecology QH540-549.5 |
description |
Background: Although pelagic seabirds are broadly recognised as indicators of the health of marine systems, numerous gaps exist in knowledge of their at-sea distributions at the species level. These gaps have profound negative impacts on the robustness of marine conservation policies. Correlative modelling techniques have provided some information, but few studies have explored model development for non-breeding pelagic seabirds. Here, I present a first phase in developing robust niche models for highly mobile species as a baseline for further development. Methodology: Using observational data from a 12-year time period, 217 unique model parameterisations across three correlative modelling algorithms (boosted regression trees, Maxent and minimum volume ellipsoids) were tested in a time-averaged approach for their ability to recreate the at-sea distribution of non-breeding Wandering Albatrosses (Diomedea exulans) to provide a baseline for further development. Principle Findings/Results: Overall, minimum volume ellipsoids outperformed both boosted regression trees and Maxent. However, whilst the latter two algorithms generally overfit the data, minimum volume ellipsoids tended to underfit the data. Conclusions: The results of this exercise suggest a necessary evolution in how correlative modelling for highly mobile species such as pelagic seabirds should be approached. These insights are crucial for understanding seabird-environment interactions at macroscales, which can facilitate the ability to address population declines and inform effective marine conservation policy in the wake of rapid global change. |
format |
Article in Journal/Newspaper |
author |
Ingenloff Kate |
author_facet |
Ingenloff Kate |
author_sort |
Ingenloff Kate |
title |
Biologically informed ecological niche models for an example pelagic, highly mobile species |
title_short |
Biologically informed ecological niche models for an example pelagic, highly mobile species |
title_full |
Biologically informed ecological niche models for an example pelagic, highly mobile species |
title_fullStr |
Biologically informed ecological niche models for an example pelagic, highly mobile species |
title_full_unstemmed |
Biologically informed ecological niche models for an example pelagic, highly mobile species |
title_sort |
biologically informed ecological niche models for an example pelagic, highly mobile species |
publisher |
Sciendo |
publishDate |
2017 |
url |
https://doi.org/10.1515/eje-2017-0006 https://doaj.org/article/f5348cdc195e4ed0b43a5070fb5817ac |
genre |
Diomedea exulans |
genre_facet |
Diomedea exulans |
op_source |
European Journal of Ecology, Vol 3, Iss 1, Pp 55-75 (2017) |
op_relation |
http://www.degruyter.com/view/j/eje.2017.3.issue-1/eje-2017-0006/eje-2017-0006.xml?format=INT https://doaj.org/toc/1339-8474 1339-8474 doi:10.1515/eje-2017-0006 https://doaj.org/article/f5348cdc195e4ed0b43a5070fb5817ac |
op_doi |
https://doi.org/10.1515/eje-2017-0006 |
container_title |
European Journal of Ecology |
container_volume |
3 |
container_issue |
1 |
container_start_page |
55 |
op_container_end_page |
75 |
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1766396916573143040 |