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Inferring activity budgets in wild animals to estimate the consequences of disturbances
Lay summary: In species that are difficult to observe, activity budgets can be inferred indirectly from other behavioral variables, to assess human induced non-lethal effects on wildlife. We used a step-wise modeling approach to quantitatively infer activity states from multiple continuous behaviora...
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Published in: | Behavioral ecology 2013-11, Vol.24 (6), p.1415-1425 |
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Main Authors: | , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
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Summary: | Lay summary: In species that are difficult to observe, activity budgets can be inferred indirectly from other behavioral variables, to assess human induced non-lethal effects on wildlife. We used a step-wise modeling approach to quantitatively infer activity states from multiple continuous behavioral data to show that whalewatching boat interactions caused a reduction in the time minke whales spend feeding. The modeling approach provides a means to link short-term behavioral changes to potential long-term bioenergetic consequences in individuals. Lay summary: In species that are difficult to observe, activity budgets can be inferred indirectly from other behavioral variables, to assess human induced non-lethal effects on wildlife. We used a step-wise modeling approach to quantitatively infer activity states from multiple continuous behavioral data to show that whalewatching boat interactions caused a reduction in the time minke whales spend feeding. The modeling approach provides a means to link short-term behavioral changes to potential long-term bioenergetic consequences in individuals. |
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ISSN: | 1045-2249 1465-7279 |
DOI: | 10.1093/beheco/art086 |