9781511608442-1511608447-Simulating Historical Landscape Dynamics Using the Landscape Fire Succession Model LANDSUM version 4.0

Simulating Historical Landscape Dynamics Using the Landscape Fire Succession Model LANDSUM version 4.0

ISBN-13: 9781511608442
ISBN-10: 1511608447
Author: United States Department of Agriculture
Publication date: 2015
Publisher: CreateSpace Independent Publishing Platform
Format: Paperback 78 pages
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Book details

ISBN-13: 9781511608442
ISBN-10: 1511608447
Author: United States Department of Agriculture
Publication date: 2015
Publisher: CreateSpace Independent Publishing Platform
Format: Paperback 78 pages

Summary

Simulating Historical Landscape Dynamics Using the Landscape Fire Succession Model LANDSUM version 4.0 (ISBN-13: 9781511608442 and ISBN-10: 1511608447), written by authors United States Department of Agriculture, was published by CreateSpace Independent Publishing Platform in 2015. With an overall rating of 4.4 stars, it's a notable title among other books. You can easily purchase or rent Simulating Historical Landscape Dynamics Using the Landscape Fire Succession Model LANDSUM version 4.0 (Paperback) from BooksRun, along with many other new and used books and textbooks. And, if you're looking to sell your copy, our current buyback offer is $0.32.

Description

The range and variation of historical landscape dynamics could provide a useful reference for designing fuel treatments on today’s landscapes. Simulation modeling is a vehicle that can be used to estimate the range of conditions experienced on historical landscapes. A landscape fire succession model called LANDSUMv4 (LANDscape SUccession Model version 4.0) is presented here as a tool for estimating historical range and variation (HRV) of landscape characteristics. The model simulates fire and succession on fine scale landscapes for land management applications. It simulates vegetation development as a deterministic process by changing the species composition and stand structure assigned to a polygon. Disturbance initiation is modeled stochastically and disturbance effects are based on the current vegetation conditions of the polygon. Details of all model algorithms are discussed and the model is demonstrated for two applications. Results of an extensive sensitivity and model behavior analysis are also presented.

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