Predicting Regeneration Establishment with the Prognosis Model

Predicting Regeneration Establishment with the Prognosis Model PDF Author: Dennis E. Ferguson
Publisher:
ISBN:
Category : Forest regeneration
Languages : en
Pages : 60

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Predicting Regeneration Establishment with the Prognosis Model

Predicting Regeneration Establishment with the Prognosis Model PDF Author: Dennis E. Ferguson
Publisher:
ISBN:
Category : Forest regeneration
Languages : en
Pages : 60

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Predicting Regeneration Establishment with the Prognosis Model

Predicting Regeneration Establishment with the Prognosis Model PDF Author: Dennis E. Ferguson
Publisher:
ISBN:
Category : Forest regeneration
Languages : en
Pages : 0

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Predicting Regeneration Establishment with the Prognosis Model (Classic Reprint)

Predicting Regeneration Establishment with the Prognosis Model (Classic Reprint) PDF Author: Dennis E Ferguson
Publisher: Forgotten Books
ISBN: 9780365705666
Category :
Languages : en
Pages : 66

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Excerpt from Predicting Regeneration Establishment With the Prognosis Model Forests of Idaho and Montana are quite diverse. Environmental conditions support forest types ranging from dry ponderosa pine (pinus ponderosa) for ests, to near-rain forests dominated by western redcedar (thuja plicata) and western hemlock (tsuga heterophylla), to high-elevation subalpine fir (abies lasiocarpa) and Whitebark pine (pinus albicaulis) forests where the gron season is short. These forests are highly valued for timber, wildlife, water, grazing, recreation, biological diversity, and esthetics. Management often involves the manipulation of conifers through timber harvests, natural and artificial regeneration, site preparation, weedings, and thinnings; control of competing vegetation such as shrubs, forbs, and grasses; and control of insects, diseases, and wildfires. Manipulation of for ests changes the course of secondary succession which, in turn, affects the future of these ecosystems. Land managers need to know how their actions affect the course of second ary succession. One particularly important effect is the regeneration of coni fers following timber harvest. Can cutover areas be regenerated in a timely manner to desirable species having acceptable growth rates? Which of sev eral alternative silvicultural prescriptions should be used to reach desired future conditions? Land managers compare alternative silvicultural prescriptions to determine which one best meets management objectives. These comparisons need to be quantified in a biologically meaningful and statistically sound manner. Fortunately, the necessary information is available to quantify the regener ation process in much of the Western United States. About the Publisher Forgotten Books publishes hundreds of thousands of rare and classic books. Find more at www.forgottenbooks.com This book is a reproduction of an important historical work. Forgotten Books uses state-of-the-art technology to digitally reconstruct the work, preserving the original format whilst repairing imperfections present in the aged copy. In rare cases, an imperfection in the original, such as a blemish or missing page, may be replicated in our edition. We do, however, repair the vast majority of imperfections successfully; any imperfections that remain are intentionally left to preserve the state of such historical works.

User's Guide to the Regeneration Establishment Model

User's Guide to the Regeneration Establishment Model PDF Author: Dennis E. Ferguson
Publisher:
ISBN:
Category : Regeneration (Botany)
Languages : en
Pages : 28

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Predicting Regeneration in the Grand Fir-cedar-hemlock Ecosystem of the Northern Rocky Mountains

Predicting Regeneration in the Grand Fir-cedar-hemlock Ecosystem of the Northern Rocky Mountains PDF Author: Dennis E. Ferguson
Publisher:
ISBN:
Category : Afforestation
Languages : en
Pages : 48

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Conifer establishment following regeneration treatments can be predicted in the grand fir-cedar-hemlock ecosystem of the northern Rocky Mountains. Alternative treatments can be evaluated by a model that represents regeneration establishment and early development. This model is designed to be used with the Intermountain Forest and Range Experiment Station's Prognosis Model (Stage 1973). Mathematical equations representing most harvest and site preparation methods common in the northern Rocky Mountains predict the probability of stocking, trees per acre, species composition, and tree heights between 3 to 20 years following treatment. These relations were derived from a stratified random sample of areas managed by conventional harvest and site preparation treatments. However, the analysis and modeling methods are structured to permit combinations of treatments within a stand that might differ from past practices.

User's Guide to Version 2 of the Regeneration Establishment Model

User's Guide to Version 2 of the Regeneration Establishment Model PDF Author: Dennis E. Ferguson
Publisher:
ISBN:
Category : Forest regeneration
Languages : en
Pages : 44

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User's guide to the Stand Prognosis Model

User's guide to the Stand Prognosis Model PDF Author: William Wykoff
Publisher:
ISBN:
Category : Forests and forestry
Languages : en
Pages : 118

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General Technical Report INT

General Technical Report INT PDF Author:
Publisher:
ISBN:
Category : Forests and forestry
Languages : en
Pages : 368

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Proceedings

Proceedings PDF Author:
Publisher:
ISBN:
Category : Forest management
Languages : en
Pages : 232

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Proceedings, Management and Productivity of Western-montane Forest Soils

Proceedings, Management and Productivity of Western-montane Forest Soils PDF Author: Craig R. Contor
Publisher:
ISBN:
Category : Fish habitat improvement
Languages : en
Pages : 512

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