• Title of article

    An index of risk of co-occurrence between marine mammals and watercraft: Example of the Florida manatee

  • Author/Authors

    Bauduin، نويسنده , , Sarah and Martin، نويسنده , , Julien and Edwards، نويسنده , , Holly H. and Gimenez، نويسنده , , Olivier and Koslovsky، نويسنده , , Stacie M. and Fagan، نويسنده , , Daniel E.، نويسنده ,

  • Issue Information
    روزنامه با شماره پیاپی سال 2013
  • Pages
    10
  • From page
    127
  • To page
    136
  • Abstract
    Collisions between wildlife and vehicles represent a large source of mortality for many species. To implement effective protection zones, it is important to identify areas in which wildlife–vehicle collisions are likely to occur. We used statistical models to derive an index of risk of co-occurrence between manatees and boats. Our statistical models were used to predict the distribution of both manatees and boats, while accounting for observer-specific detection probabilities. Models used aerial survey data and we found that both environmental and temporal covariates influenced manatee and boat distributions. Moreover, the probability of detecting manatees varied substantially with the weather and among observers. To our knowledge, this is the first time that manatee distribution is modeled as a function of key environmental and seasonal covariates, while accounting for imperfect detection of manatees. We computed an index of risk of co-occurrence by multiplying the probability of manatee occupancy by the expected boat density and occupancy to identify areas where manatee–boat collisions are likely to occur. This analytical framework emphasizes the importance of accounting for imperfect detection, and how modeling distribution of both organisms and vehicles as a function of key covariates can help improve predictions of risk of collisions. Risk of collision metrics can then be used in designing protection zones.
  • Keywords
    aerial surveys , Boats , Environmental/temporal covariates , predictive models , Risk of collisions , Occupancy models
  • Journal title
    Biological Conservation
  • Serial Year
    2013
  • Journal title
    Biological Conservation
  • Record number

    1913169