Predicting the variation in detection function in line transect sampling through random parameter model |
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Authors: | Mercey K.A. Jayaraman K. |
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Affiliation: | (1) College of Veterinary and Animal Sciences, Mannuthy, Thrissur, Kerala, India;(2) Division of Statistics, Kerala Forest Research Institute, Peechi -, 680 653, Thrissur, Kerala, India |
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Abstract: | A method for calibrating (localizing) detection function models in line transect sampling is proposed. The method is based on a random parameter model which supplies localized predictions of detection function parameters utilizing a few sample data points from the concerned location(s). The method has the clear advantage of being able to provide density estimates based on very few observations from a location which would be impossible through traditional methods. The method is successfully illustrated using census data on sambar (Cervus unicolor) from a set of wildlife sanctuaries in Kerala, India. The need for further research in this direction is indicated. |
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Keywords: | animal abundance calibration of detection function line transect sampling negative exponential model wildlife census |
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