期刊
METHODS IN ECOLOGY AND EVOLUTION
卷 6, 期 10, 页码 1150-1158出版社
WILEY
DOI: 10.1111/2041-210X.12411
关键词
anthropogenic noise; behavioural response; expert elicitation; impact assessment; stochastic population models
类别
资金
- Crown Estate and associated partners
- NERC's Marine Renewable Energy Knowledge Exchange programme
- Office of Naval Research [N00014-09-1-0896, N00014-12-1-0274]
- MASTS pooling initiative (The Marine Alliance for Science and Technology for Scotland) - Scottish Funding Council [HR09011]
- Natural Environment Research Council [smru10001] Funding Source: researchfish
Changes in natural patterns of animal behaviour and physiology resulting from anthropogenic disturbance may alter the conservation status of a population if they affect the ability of individuals to survive, breed or grow. However, information to forecast population-level consequences of such changes is often lacking. We developed an interim framework to assess the population consequences of disturbance when empirical information is sparse. We show how daily effects of disturbance, which are often straightforward to estimate, can be scaled to the disturbance duration and to multiple sources of disturbance. We used expert elicitation to estimate parameters that define how changes in individual behaviour or physiology affect vital rates and incorporated them into a stochastic population model. Model outputs can be used to evaluate cumulative impacts of disturbance over space and time. As an example, we forecast the potential effects of disturbance from offshore wind farm construction on the North Sea harbour porpoise (Phocoena phocoena) population.Synthesis and applications. The interim framework can be used to forecast the effects of disturbances from human activities on animal populations, to assess the effectiveness of mitigation measures and to identify priority areas for research that reduces uncertainty in population forecasts. The last two applications are likely to be important insituations where there is a risk of unacceptable change in a species' conservation status. The framework should, however, be augmented with empirical data as soon as these are available.
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