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Estimating Bird Population Using Multiple Independent Observers

This study focuses on bird population estimation through simultaneous observations by multiple independent observers at the same locations. By matching observations, we can identify detection probabilities unique to each observer. Observers report individual counts without influencing each other, and assumptions ensure accuracy in detection. The method calculates detection probability using matched observations and estimates population size based on observed data. This approach emphasizes the need for accurate sampling without bias, providing a reliable means of estimating avian populations.

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Estimating Bird Population Using Multiple Independent Observers

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  1. single observer

  2. multiple observers • independent observers • observers sample same locations simultaneously and independently • match observations when the point count is over • matched observations, together with observations unique to each observer, provide information about each observers unique detection probability • Pd only

  3. multiple observers N observer 1 observer 2 …after matching

  4. detection probability the probability of detection for each observer is p1 = m2/n2 and p2 = m2/n1 where: p is detection probability m is the number of birds seen by both observers ni is the number seen by one observer i

  5. population size The population size can then be estimated as follows: N = (n1*n2)/m2 where: N is population size m is the number of birds seen by both observers ni is the number seen by one observer i

  6. Multiple Observers • Critical Assumptions • Observers do not influence each other’s detections • No matching errors • The sample area is closed to bird movements • For each observer, individual birds are not double-counted and multiple birds are not lumped into one

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