دورية أكاديمية
Predictive modeling of spinner dolphin (Stenella longirostris) resting habitat in the main Hawaiian Islands.
| العنوان: | Predictive modeling of spinner dolphin (Stenella longirostris) resting habitat in the main Hawaiian Islands. |
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| المؤلفون: | Thorne LH; School of Marine and Atmospheric Sciences, Stony Brook University, Stony Brook, New York, United States of America. lesley.thorne@stonybrook.edu, Johnston DW, Urban DL, Tyne J, Bejder L, Baird RW, Yin S, Rickards SH, Deakos MH, Mobley JR Jr, Pack AA, Chapla Hill M |
| المصدر: | PloS one [PLoS One] 2012; Vol. 7 (8), pp. e43167. Date of Electronic Publication: 2012 Aug 24. |
| نوع المنشور: | Journal Article; Research Support, Non-U.S. Gov't |
| اللغة: | English |
| بيانات الدورية: | Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1932-6203 (Electronic) Linking ISSN: 19326203 NLM ISO Abbreviation: PLoS One Subsets: MEDLINE |
| أسماء مطبوعة: | Original Publication: San Francisco, CA : Public Library of Science |
| مواضيع طبية MeSH: | Ecosystem*, Dolphins/*physiology, Animals |
| مستخلص: | 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. |
| References: | Ecol Appl. 2009 Jan;19(1):181-97. (PMID: 19323182) Mol Ecol. 2010 Feb;19(4):732-48. (PMID: 20089122) Trends Ecol Evol. 2004 Sep;19(9):497-503. (PMID: 16701313) Ecol Lett. 2005 Sep;8(9):993-1009. (PMID: 34517687) Nature. 2003 Dec 18;426(6968):837-41. (PMID: 14685238) |
| تواريخ الأحداث: | Date Created: 20120901 Date Completed: 20130425 Latest Revision: 20240313 |
| رمز التحديث: | 20240313 |
| مُعرف محوري في PubMed: | PMC3427338 |
| DOI: | 10.1371/journal.pone.0043167 |
| PMID: | 22937022 |
| قاعدة البيانات: | MEDLINE |
Full Text Finder | تدمد: | 1932-6203 |
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| DOI: | 10.1371/journal.pone.0043167 |