Expert Knowledge and Its Application in Landscape Ecology

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Perera, Ajith H. (Επιμελητής έκδοσης), Drew, C. Ashton (Επιμελητής έκδοσης), Johnson, Chris J. (Επιμελητής έκδοσης)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: New York, NY : Springer New York, 2012.
• Θέματα: Life sciences.; Landscape ecology.; Ecology.; Conservation biology.; Forestry management.; Environmental management.; Life Sciences.; Landscape Ecology.; Environmental Management.; Conservation Biology/Ecology.; Terrestial Ecology.; Forestry Management.

Typically, landscape ecologists use empirical observations to conduct research and devise solutions for applied problems in conservation and management. In some instances, they rely on advice and input of experienced professionals in both developing and applying knowledge. Given the wealth of expert...

Πίνακας περιεχομένων:

• Foreword
• Acknowledgements
• List of Contributors
• 1. Experts, expert knowledge, and their roles in landscape ecological applications
• 2. What is expert knowledge, how is such knowledge gathered, and how do we use it to address questions in landscape ecology?
• 3. Elicitator: a user-friendly, interactive tool to support scenario-based elicitation of expert knowledge
• 4. Eliciting expert knowledge of forest succession using an innovative software tool
• 5. Expert knowledge as a foundation for the management of secretive species and their habitat
• 6. Incorporating expert knowledge in decision-support models for avian conservation
• 7. An expert-based modeling approach to inform strategic and operational land management decisions for the recovery of woodland caribou
• 8. Using expert knowledge effectively: lessons from species distribution models for wildlife conservation and management
• 9. Exploring expert knowledge of forest succession: an assessment of uncertainty and a comparison with empirical data
• 10. Assessing knowledge ambiguity in the creation of a model based on expert knowledge and comparison with the results of a landscape succession model in central Labrador.- 11. Use of expert knowledge to develop fuel maps for wildland fire management
• 12. Using Bayesian mixture models that combine expert knowledge and GIS data to define ecoregions
• 13. Eliciting expert knowledge of ecosystem vulnerability to human stressors to support comprehensive ocean management
• 14. Elicitation and use of expert knowledge in landscape ecological applications: a synthesis
• Index    .