Methods for joint inference from panel survey and demographic data

被引:0
|
作者
Besbeas, P [1 ]
Freeman, SN
机构
[1] Univ Kent, Inst Math & Stat, Canterbury CT2 7NF, Kent, England
[2] British Trust Ornithol, Thetford IP24 2PU, Norfolk, England
关键词
integrated analysis; joint likelihood; Kalman filter; log-linear Poisson regression; mark -recapture-recovery data; population dynamics; Vanellus vanellus; weather data;
D O I
10.1890/0012-9658(2006)87[1138:MFJIFP]2.0.CO;2
中图分类号
Q14 [生态学(生物生态学)];
学科分类号
071012 ; 0713 ;
摘要
A number of methods for joint inference from animal abundance and demographic data have been proposed in recent years, each with its own advantages. A new approach to analyzing panel survey and demographic data simultaneously is described. The approach fits population-dynamics models to the survey data, rather than to a single index of abundance derived from them and thus avoids disadvantages inherent ill analyzing such an index. The methodology is developed and illustrated with British Lapwing data, and the results are compared with those obtained from existing approaches. The estimates of demographic parameters and population indices are similar for all methods. The results of a simulation study show that the new method performs well in terms of mean squared error.
引用
收藏
页码:1138 / 1145
页数:8
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