vintage omega watches 1970 audemars piguet royal oak chronograph blue dial price swiss replica watches womens watches on sale old rolex watches price list replica watches uk tag heuer xcaz2011 rolex daytona 6263 big red uk replica watches navitimer world tag heuer grand carrera calibre 17 watch price in india replica watches uk patek philippe vintage tank watch heuer trackmate 1 5 fake watches

SOLAMAC - Sociedade Latino Americana de Especialistas em Mamíferos Aquáticos

Biblioteca virtual  -  Teses de doutorado

Estimating wildlife distribution and abundance from line transect surveys conducted from platforms of opportunity
- Nome: Fernanda Figueiredo Constant Marques

- Título da tese de doutorado: Estimating wildlife distribution and abundance from line transect surveys conducted from platforms of opportunity

- Instituição: University of St Andrews

- Orientador: Prof. Stephen T. Buckland

- Ano de defesa: Agosto 2001

Line transect data obtained from 'platforms of opportunity' are useful for the monitoring of long term trends in dolphin populations which occur over vast areas, yet analyses of such data are problematic due to violation of fundamental assumptions of line transect methodology. In this thesis we develop methods which allow estimates of dolphin relative abundance to be obtained when certain assumptions of line transect sampling are violated. Generalized additive models are used to model encounter rate and mean school size as a function os spatially and temporally referenced covariates. The estimated relationship between the response and the environmental and locational covariates is then used to obtain a predicted surface for the response over the entire survey region. Given those predicted surfaces, a density surface can then be obtained and an estimate of abundance computed by numerically integrating over the entire survey region. This approach is particularly useful when search effort is not random, in which case standard line transect methods would yield biased estimates. Estimates of f(0) (the inverse of the effective strip (half-)width), an essential component of the line transect estimator, may also be biased due to heterogeneity in detection probabilities. We developed a conditional likelihood approach in which covariate effects are directly incorporated into the estimation procedure. Simulation results indicated that the method performs well in the presence of size-bias. When multiple covariates are used, it is important that covariate selection be carried out. As an example we applied the methods described above to eastern tropical Pacific dolphin stocks. However, uncertainty in stock identification has never been directly incorporated into methods used to obtain estimates of relative or absolute abundance. Therefore we illustrate an approach in which trends in dolphin relative abundance are monitored by small areas, rather than stocks.

<< Voltar