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Predictive Modeling of Spinner Dolphin (Stenella longirostris) Resting Habitat in the Main Hawaiian Islands

Predictive habitat models can provide critical information that is necessary in many conservation applications. Using Maximum Entropy modeling, we characterized habitat relationships and generated spatial predictions of spinner dolphin (Stenella longirostris) resting habitat in the main Hawaiian Isl...

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Autores principales: Thorne, Lesley H., Johnston, David W., Urban, Dean L., Tyne, Julian, Bejder, Lars, Baird, Robin W., Yin, Suzanne, Rickards, Susan H., Deakos, Mark H., Mobley, Joseph R., Pack, Adam A., Chapla Hill, Marie
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3427338/
https://www.ncbi.nlm.nih.gov/pubmed/22937022
http://dx.doi.org/10.1371/journal.pone.0043167
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author Thorne, Lesley H.
Johnston, David W.
Urban, Dean L.
Tyne, Julian
Bejder, Lars
Baird, Robin W.
Yin, Suzanne
Rickards, Susan H.
Deakos, Mark H.
Mobley, Joseph R.
Pack, Adam A.
Chapla Hill, Marie
author_facet Thorne, Lesley H.
Johnston, David W.
Urban, Dean L.
Tyne, Julian
Bejder, Lars
Baird, Robin W.
Yin, Suzanne
Rickards, Susan H.
Deakos, Mark H.
Mobley, Joseph R.
Pack, Adam A.
Chapla Hill, Marie
author_sort Thorne, Lesley H.
collection PubMed
description Predictive habitat models can provide critical information that is necessary in many conservation applications. Using Maximum Entropy modeling, we characterized habitat relationships and generated spatial predictions of spinner dolphin (Stenella longirostris) resting habitat in the main Hawaiian Islands. Spinner dolphins in Hawai'i exhibit predictable daily movements, using inshore bays as resting habitat during daylight hours and foraging in offshore waters at night. There are growing concerns regarding the effects of human activities on spinner dolphins resting in coastal areas. However, the environmental factors that define suitable resting habitat remain unclear and must be assessed and quantified in order to properly address interactions between humans and spinner dolphins. We used a series of dolphin sightings from recent surveys in the main Hawaiian Islands and a suite of environmental variables hypothesized as being important to resting habitat to model spinner dolphin resting habitat. The model performed well in predicting resting habitat and indicated that proximity to deep water foraging areas, depth, the proportion of bays with shallow depths, and rugosity were important predictors of spinner dolphin habitat. Predicted locations of suitable spinner dolphin resting habitat provided in this study indicate areas where future survey efforts should be focused and highlight potential areas of conflict with human activities. This study provides an example of a presence-only habitat model used to inform the management of a species for which patterns of habitat availability are poorly understood.
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spelling pubmed-34273382012-08-30 Predictive Modeling of Spinner Dolphin (Stenella longirostris) Resting Habitat in the Main Hawaiian Islands Thorne, Lesley H. Johnston, David W. Urban, Dean L. Tyne, Julian Bejder, Lars Baird, Robin W. Yin, Suzanne Rickards, Susan H. Deakos, Mark H. Mobley, Joseph R. Pack, Adam A. Chapla Hill, Marie PLoS One Research Article Predictive habitat models can provide critical information that is necessary in many conservation applications. Using Maximum Entropy modeling, we characterized habitat relationships and generated spatial predictions of spinner dolphin (Stenella longirostris) resting habitat in the main Hawaiian Islands. Spinner dolphins in Hawai'i exhibit predictable daily movements, using inshore bays as resting habitat during daylight hours and foraging in offshore waters at night. There are growing concerns regarding the effects of human activities on spinner dolphins resting in coastal areas. However, the environmental factors that define suitable resting habitat remain unclear and must be assessed and quantified in order to properly address interactions between humans and spinner dolphins. We used a series of dolphin sightings from recent surveys in the main Hawaiian Islands and a suite of environmental variables hypothesized as being important to resting habitat to model spinner dolphin resting habitat. The model performed well in predicting resting habitat and indicated that proximity to deep water foraging areas, depth, the proportion of bays with shallow depths, and rugosity were important predictors of spinner dolphin habitat. Predicted locations of suitable spinner dolphin resting habitat provided in this study indicate areas where future survey efforts should be focused and highlight potential areas of conflict with human activities. This study provides an example of a presence-only habitat model used to inform the management of a species for which patterns of habitat availability are poorly understood. Public Library of Science 2012-08-24 /pmc/articles/PMC3427338/ /pubmed/22937022 http://dx.doi.org/10.1371/journal.pone.0043167 Text en © 2012 Thorne et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Thorne, Lesley H.
Johnston, David W.
Urban, Dean L.
Tyne, Julian
Bejder, Lars
Baird, Robin W.
Yin, Suzanne
Rickards, Susan H.
Deakos, Mark H.
Mobley, Joseph R.
Pack, Adam A.
Chapla Hill, Marie
Predictive Modeling of Spinner Dolphin (Stenella longirostris) Resting Habitat in the Main Hawaiian Islands
title Predictive Modeling of Spinner Dolphin (Stenella longirostris) Resting Habitat in the Main Hawaiian Islands
title_full Predictive Modeling of Spinner Dolphin (Stenella longirostris) Resting Habitat in the Main Hawaiian Islands
title_fullStr Predictive Modeling of Spinner Dolphin (Stenella longirostris) Resting Habitat in the Main Hawaiian Islands
title_full_unstemmed Predictive Modeling of Spinner Dolphin (Stenella longirostris) Resting Habitat in the Main Hawaiian Islands
title_short Predictive Modeling of Spinner Dolphin (Stenella longirostris) Resting Habitat in the Main Hawaiian Islands
title_sort predictive modeling of spinner dolphin (stenella longirostris) resting habitat in the main hawaiian islands
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3427338/
https://www.ncbi.nlm.nih.gov/pubmed/22937022
http://dx.doi.org/10.1371/journal.pone.0043167
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