creating HRV time series using landscape modeling FIRE‐BGC, integrating mechanistic FOREST‐BGC biogeochemical model landscape simulation models, LFSMs, linked processes of fire in spatial domain modeling historic variation in future variability, and LANDSUM simulated HRV time series, user's content with model behavior simulating HRV, the good and the bad simulation models, output describing historical variation spatial model for HRV, being meaningless without a spatial context trade‐offs, model complexity and tenability weaknesses of HRV simulation, and suitable spatial data lack
This chapter contains sections titled:
Introduction
Simulating HRV: The Good and the Bad
Landscape Simulation Models
Selecting the Most Appropriate Model
Simulation Issues and Limitations
Concluding Thoughts
References
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Details
Title
Creating Historical Range of Variation (HRV) Time Series Using Landscape Modeling: Overview and Issues
Creators
Robert E Keane - Rocky Mountain Research Station
Robert W. Keane - Physiology and Biophysics Research
Contributors
John A Wiens (Editor) - University of Western Australia
Gregory D Hayward (Editor) - USDA Forest Service, Rocky Mountain Region, Lakewood, CO 80401, USA
Hugh D Safford (Editor) - University of California, Davis
Catherine M Giffen (Editor) - USDA Forest Service, National Office Washington, DC, USA
Publication Details
Historical Environmental Variation in Conservation and Natural Resource Management, pp.113-127
Publisher
John Wiley & Sons, Ltd; Chichester, UK
Number of pages
15
Academic Unit
Miller School of Medicine; Physiology and Biophysics Research