Wildlife, pesticides, and mosquito control
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We examined the effects of Herring and Great Black-backed Gulls on Piping Plover nest site selection on South Monomoy Island, MA, from 1998 to 2000. We compared Piping Plover behavior and nest site selection in a gull-free area to a gull area, and compared Piping Plover nesting area characteristics to areas not used by plovers. We found no difference in the frequency of disturbance by gulls to pre-nesting adult plovers between the two areas. We found fewer gulls near pre-nesting adults than near random points, and fewer gulls in Piping Plover nesting areas than in areas not used by plovers. Proximity to prime foraging habitats and available nesting habitat (wide stretches of open vegetation) may be more important to Piping Plover nest site selection than the presence of gulls.
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Concerns?about declines in numerous taxa have created agreat deal of interest in survey development. Because birds have traditionally been monitored by a variety of methods, bird surveys form natural models for development of surveys for other taxa. Here I suggest that most bird surveys are not appropriate models for survey design. Most lack important design components associated with estimation of population parameters at sample sites or with sampling over space, leading to estimates that may be biased, I discuss the limitations of national bird monitoring programs designed to monitor population size. Although these surveys are often analyzed, careful consideration must be given to factors that may bias estimates but that cannot be evaluated within the survey. Bird surveys with appropriate designs have generally been developed as part of management programs that have specific information needs. Experiences gained from bird surveys provide important information for development of surveys for other taxa, and statistical developments in estimation of population sizes from counts provide new approaches to overcoming the limitations evident in many bird surveys. Design of surveys is a collaborative effort, requiring input from biologists, statisticians, and the managers who will use the information from the surveys.
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