Applying Ecosystem and Landscape Models in Natural Resource Management
Auteur : Keane Robert E.
Managing today?s lands is becoming an increasingly difficult task. Complex ecological interactions across multiple spatiotemporal scales create diverse landscape responses to management actions that are often novel, counter-intuitive and unexpected. To make matters worse, exotic invasions, human land use, and global climate change complicate this complexity and make past observational ecological studies limited in application to the future. Natural resource professionals can no longer rely on empirical data to analyze alternative actions in a world that is rapidly changing with few historical analogs. New tools are needed to synthesize the high complexity in ecosystem dynamics into useful applications for land management.
Some of the best new tools available for this task are ecological and landscape simulation models. However, many land management professionals and scientists have little expertise in simulation modeling, and the costs of training these people will probably be exorbitantly high because most ecosystem and landscape models are exceptionally complicated and difficult to understand and use for local applications.
This book was written to provide natural resource professionals with the rudimentary knowledge needed to properly use ecological models and then to interpret their results. It is based on the lessons learned from a career spent modeling ecological systems. It is intended as a reference for novice modelers to learn how to correctly employ ecosystem landscape models in natural resource management applications and to understand subsequent modeling results.
Robert E. Keane has been a Research Ecologist with the USDA Forest Service, Rocky Mountain Research Station at the Missoula Fire Sciences Laboratory since 1994. His most recent research includes developing ecological computer simulation models for the exploring landscape, fire, and climate dynamics; conducting basic research in wildland fuel science; and investigating the ecology and restoration of whitebark pine.
Date de parution : 03-2021
15.6x23.4 cm
Date de parution : 09-2019
15.6x23.5 cm
Disponible chez l'éditeur (délai d'approvisionnement : 12 jours).
Prix indicatif 154,17 €
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Mots-clés :
Pacific Northwest USA; Natural Resource Management Applications; parameterizing ecological models; Time Series Simulation Data; sensitivity analysis; Eddy Covariance Flux Towers; analyzing model results; Simulate Fire Spread; initializing ecological models; Fire History Studies; calibrating models; Blister Rust; employing spatial models; White Pine Blister Rust; using mechanistic models; Pacific Decadal Oscillation; validating and evaluating models; Whitebark Pine; ecosystem landscape models; Fire Prone Ecosystems; simulation modeling; FIA Plot; natural resource professionals; FIA Program; Calibration Scenarios; land management professionals; Roc Curve; Diagnostic Variables; Execution Times; Non-spatial Context; Fire Return Interval; Successful Modeling Project; Ecosystem Simulation Models; Eros Data Center; Fine Scale Factors; Inventory Field Plots; Ecophysiological Parameters