Population Consequences of Acoustic Disturbance of Marine Mammals

The long-term goal of this project is to improve our understanding of the effects of sound and other anthropogenic and natural disturbances on the probabilities of population-level or species-level persistence of marine mammals. Disturbances can lead to alterations in physiological or behavioral sta...

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Bibliographic Details
Main Author: Fleishman, Erica
Other Authors: CALIFORNIA UNIV DAVIS JOHN MUIR INST OF THE ENVIRONMENT
Format: Text
Language:English
Published: 2013
Subjects:
Online Access:http://www.dtic.mil/docs/citations/ADA601151
http://oai.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=ADA601151
Description
Summary:The long-term goal of this project is to improve our understanding of the effects of sound and other anthropogenic and natural disturbances on the probabilities of population-level or species-level persistence of marine mammals. Disturbances can lead to alterations in physiological or behavioral states of animals, which in turn may lead to changes in demographic rates and viability. Population-level effects of disturbance also may cascade among species. However, it has proven difficult to identify and model the mechanisms by which individual-level responses might propagate to the population level. A clear and ideally quantitative understanding of such mechanisms is necessary to assess trade-offs between potential responses of species to disturbance and diverse human activities. The specific objectives of this project are as follows: (1) Explore how the U.S. National Research Council (NRC) committee's 2005 conceptual model of population-level effects of changes in the behavior of marine mammals might be translated into quantitative models, (2) Consider how the NRC committee's conceptual model might be parameterized with existing or emerging data on the responses of large vertebrates to disturbance, (3) Define conceptual approaches for investigating transfer functions (e.g., time-energy budgets, trait-mediated responses), (4) Expand work by the NRC to include sensitivity analyses of different transfer functions, and (5) Outline exploratory models that might be used to model transfer functions.