|
|
dspace >
ANDZOA >
Fonds Documentaire >
Please use this identifier to cite or link to this item:
http://localhost:8080/dspace/handle/0/3398
|
| Titre: | Quantitative Ecology and the Conservation of Biodiversity: Species Richness, Abundance, and Extinction in Human-Altered Landscapes |
| Auteur(s): | Justin Adam Kitzes |
| Issue Date: | 2012 |
| Référence bibliographique: | sans, p. 1-97 |
| Résumé: | The goal of conservation biology is to understand and prevent the loss of biological
diversity. Modern conservation science relies heavily on four major quantitative methods:
reserve site selection algorithms, species distribution models, population viability analyses,
and species-area relationships. These methods, however, have several longstanding and unresolved
shortcomings, including extensive data requirements, long computation times, and
important simplifying assumptions, that limit their ability to inform conservation decisions
in many real landscapes. This dissertation develops new approaches in quantitative ecology
that address these shortcomings through the use of simulation modeling, probability theory,
machine learning, modern statistics, and economic input-output analysis. |
| License: | http://andzoa.ma/fr |
| URI: | http://localhost:8080/dspace/handle/0/3398 |
| Appears in Collections: | Fonds Documentaire
|
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.
|
