Quantitative Methods for Conservation Biology

Quantitative methods are needed in conservation biology more than ever as an increasing number of threatened species find their way onto international and national “red lists. ” Objective evaluation of population decline and extinction probability are required for sound decision making. Yet, as our...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριοι συγγραφείς: Ferson, Scott (Συγγραφέας), Burgman, Mark (Συγγραφέας)
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: New York, NY : Springer New York, 2000.
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
Πίνακας περιεχομένων:
  • Detecting Extinction in Sighting Data
  • Inferring Threat from Scientific Collections: Power Tests and an Application to Western Australian Acacia Species
  • Identifying the Ecological Correlates of Extinction-Prone Species: A Case Study of New Zealand Birds
  • Quantitative Methods for Modeling Species Habitat: Comparative Performance and an Application to Australian Plants
  • Risk Assessment of a Proposed Introduction of Pacific Salmon in the Delaware River Basin
  • Likelihood of Introducing Nonindigenous Organisms with Agricultural Commodities: Probabilistic Estimation
  • “Best” Abundance Estimates and Best Management: Why They Are Not the Same
  • Whaling Models for Cetacean Conservation
  • Assessing Land-Use Impacts on Bull Trout Using Bayesian Belief Networks
  • Using Matrix Models to Focus Research and Management Efforts in Conservation
  • Variability and Measurement Error in Extinction Risk Analysis: The Northern Spotted Owl on the Olympic Peninsula
  • Can Individual-Based Models Yield a Better Assessment of Population Variability?
  • Potential of Branching Processes as a Modeling Tool for Conservation Biology
  • Role of Genetics in Conservation Biology
  • Modeling Problems in Conservation Genetics Using Laboratory Animals Richard Frankham
  • Theoretical Properties of Extinction by Inbreeding Depression Under Stochastic Environments
  • Mathematical Methods for Identifying Representative Reserve Networks.