Dusky dolphin: Modeling habitat selection
The use of habitat selection models to predict the likely occurrence of wild populations is an important tool in conservation planning and wildlife management. The goal of our study was to build habitat selection models for the dusky dolphin (Lagenorhynchus obscurus) in Golfo Nuevo, Argentina. Rando...
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2010
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| Acceso en línea: | https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_00222372_v91_n1_p54_Garaffo http://hdl.handle.net/20.500.12110/paper_00222372_v91_n1_p54_Garaffo |
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paper:paper_00222372_v91_n1_p54_Garaffo2023-06-08T14:47:37Z Dusky dolphin: Modeling habitat selection Distribution modeling Dusky dolphin Generalized linear model Habitat selection Lagenorhynchus obscurus Logistic regression conservation management conservation status dolphin field survey habitat selection linearity population distribution regression analysis tourism market Argentina Chubut Golfo Nuevo Lagenorhynchus obscurus The use of habitat selection models to predict the likely occurrence of wild populations is an important tool in conservation planning and wildlife management. The goal of our study was to build habitat selection models for the dusky dolphin (Lagenorhynchus obscurus) in Golfo Nuevo, Argentina. Random transects were surveyed by boat in 20022007. A grid of 1.5 × 1.5-km squares (cells) was constructed for the study area. We characterized each cell by depth, slope, distance from shore, sea-surface temperature, concentration of chlorophyll a, presenceabsence of dolphins, and a coefficient of use by dusky dolphins. Models were developed for warm and cold seasons and for all data combined. Data collected during 20022005 were pooled to develop the model, and data collected during 20062007 were used for cross-validation. Logistic regression with a binomial error structure and a logit-link function were used to relate the presence of dolphins to habitat variables. Models with gamma structure and log-link function were used to relate area use to habitat variables. Models were selected with deviance analysis and Akaike's information criterion. All predictor variables significantly influenced distribution of dolphins, which preferred steep areas at depths of 5060 m, distance from shore of 35 km, and higher values of chlorophyll. In the warm season dolphins preferred colder waters and avoided deeper and warmer areas. Dusky dolphins in Golfo Nuevo are exploited as a tourism resource, and selected models should be considered when deciding the impact of dolphin-watching activities on management. © 2010 American Society of Mammalogists. 2010 https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_00222372_v91_n1_p54_Garaffo http://hdl.handle.net/20.500.12110/paper_00222372_v91_n1_p54_Garaffo |
| institution |
Universidad de Buenos Aires |
| institution_str |
I-28 |
| repository_str |
R-134 |
| collection |
Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA) |
| topic |
Distribution modeling Dusky dolphin Generalized linear model Habitat selection Lagenorhynchus obscurus Logistic regression conservation management conservation status dolphin field survey habitat selection linearity population distribution regression analysis tourism market Argentina Chubut Golfo Nuevo Lagenorhynchus obscurus |
| spellingShingle |
Distribution modeling Dusky dolphin Generalized linear model Habitat selection Lagenorhynchus obscurus Logistic regression conservation management conservation status dolphin field survey habitat selection linearity population distribution regression analysis tourism market Argentina Chubut Golfo Nuevo Lagenorhynchus obscurus Dusky dolphin: Modeling habitat selection |
| topic_facet |
Distribution modeling Dusky dolphin Generalized linear model Habitat selection Lagenorhynchus obscurus Logistic regression conservation management conservation status dolphin field survey habitat selection linearity population distribution regression analysis tourism market Argentina Chubut Golfo Nuevo Lagenorhynchus obscurus |
| description |
The use of habitat selection models to predict the likely occurrence of wild populations is an important tool in conservation planning and wildlife management. The goal of our study was to build habitat selection models for the dusky dolphin (Lagenorhynchus obscurus) in Golfo Nuevo, Argentina. Random transects were surveyed by boat in 20022007. A grid of 1.5 × 1.5-km squares (cells) was constructed for the study area. We characterized each cell by depth, slope, distance from shore, sea-surface temperature, concentration of chlorophyll a, presenceabsence of dolphins, and a coefficient of use by dusky dolphins. Models were developed for warm and cold seasons and for all data combined. Data collected during 20022005 were pooled to develop the model, and data collected during 20062007 were used for cross-validation. Logistic regression with a binomial error structure and a logit-link function were used to relate the presence of dolphins to habitat variables. Models with gamma structure and log-link function were used to relate area use to habitat variables. Models were selected with deviance analysis and Akaike's information criterion. All predictor variables significantly influenced distribution of dolphins, which preferred steep areas at depths of 5060 m, distance from shore of 35 km, and higher values of chlorophyll. In the warm season dolphins preferred colder waters and avoided deeper and warmer areas. Dusky dolphins in Golfo Nuevo are exploited as a tourism resource, and selected models should be considered when deciding the impact of dolphin-watching activities on management. © 2010 American Society of Mammalogists. |
| title |
Dusky dolphin: Modeling habitat selection |
| title_short |
Dusky dolphin: Modeling habitat selection |
| title_full |
Dusky dolphin: Modeling habitat selection |
| title_fullStr |
Dusky dolphin: Modeling habitat selection |
| title_full_unstemmed |
Dusky dolphin: Modeling habitat selection |
| title_sort |
dusky dolphin: modeling habitat selection |
| publishDate |
2010 |
| url |
https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_00222372_v91_n1_p54_Garaffo http://hdl.handle.net/20.500.12110/paper_00222372_v91_n1_p54_Garaffo |
| _version_ |
1768544490043211776 |