Population Parameters: Estimation for Ecological Models by Hamish McCallum
Population Parameters: Estimation for Ecological Models Hamish McCallum ebook
ISBN: 0865427402, 9780865427402
9780470757468 0470757469 Population Parameters - Estimation for Ecological Models,. Tags:Population Parameters: Estimation for Ecological Models, tutorials, pdf, djvu, chm, epub, ebook, book, torrent, downloads, rapidshare, filesonic, hotfile, fileserve. In ecological population management, years of animal counts are fit to nonlinear, dynamic models (e.g. Community-based surveys can give valid and reliable measures of neighbourhood social processes , but before aggregate area measures are used, a newly described methodology to assess the properties of a scale at the ecological level – the science of .. Parameters of the model are estimated using a Markov chain Monte Carlo algorithm. Therefore, age-at-size estimates are used to construct population structure and abundance models for management (Crouse et al. Huggins closed population models were used to estimate the capture probabilities for each database and the total live births during the period, within each geographic subdivision. Models with more parameters respond better to the data but the precision of parameter estimates decrease. The Ricker model) because the values of the parameters are of interest. MARK® In ecology the most straightforward method involves sampling the population, marking the individuals, allowing them to mix with the remaining population, and then taking a new sample. In the models which included covariates, we found that omitting individuals with missing income information resulted in similar parameter estimates while giving increased convergence stability and better model fits. But new research from North Carolina State University shows that data from the largest amphibian monitoring program in the country may have flaws that, if uncorrected, could result in overestimates of frog populations. And procedures for estimating some of the metrics in this book.