Occurrence of Armillaria Spp. in Forests of the Northern Rocky Mountains PDF Download
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Author: Geral I. McDonald
Publisher:
ISBN:
Category : Armillaria
Languages : en
Pages : 12
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Book Description
Random sampling on 15 National Forests in the Northern Rocky Mountains revealed that Armillaria spp. were absent from cold-dry and hot-dry habitat types and were nearly always present in the cool-moist to warm moist habitat types.
Author: Geral I. McDonald
Publisher:
ISBN:
Category : Armillaria
Languages : en
Pages : 12
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Book Description
Random sampling on 15 National Forests in the Northern Rocky Mountains revealed that Armillaria spp. were absent from cold-dry and hot-dry habitat types and were nearly always present in the cool-moist to warm moist habitat types.
Author: Geral I. McDonald
Publisher:
ISBN:
Category : Armillaria
Languages : en
Pages : 0
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Book Description
Author: Gerald I. McDonald
Publisher: Forgotten Books
ISBN: 9781396101588
Category : Business & Economics
Languages : en
Pages : 20
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Excerpt from Occurrence of Armillaria Spp. In Forests of the Northern Rocky Mountains Many studies have reported that in terms of geographic distribution and host range, Armillaria spp. Are ubiqui tous (ehrlich 1939; Hobbs and Partridge 1979; Hubert 1950; Swift The primary objective of such studies has been to determine the degree of its damage rather than the distribution of the fungus. Typical examples are Carey and others Williams and Marsden and James and others wherein sample points were selected by location of symptomatic trees or root disease centers. What do we need to know about Armillaria? How ex tensive is the distribution of various species of Armillaria and to what extent are these species pathogenic or sapro phytic? Useful information could also include host, patho genic or saprophytic condition, and taxonomic affiliation of each fungal sample. Knowing probability of occurrence (such as a proportion of -ha plots) of pathogenic and nonpathogenic entities in relation to other ecological criteria could serve as the basis for classifying forest lands according to risk of specific host species, given various management actions. Control measures could be similarly categorized. In 1983, we began a study of population level genetic and ecological interactions between Armillaria and its conifer and hardwood hosts. The two primary objectives of this research were (1) to predict Armillaria risk by habi tat type, host species, and stand management history; and (2) to develop ways for assessing genetic and physiologic responses between host and fungus populations in North ern Rocky Mountain forests. This paper reports on the oc currence of vegetative parts of Armillaria spp. By climax series. 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.
Author: Geral I. McDonald
Publisher:
ISBN:
Category :
Languages : en
Pages :
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Author: Geral I. McDonald
Publisher:
ISBN:
Category : Armillaria
Languages : en
Pages : 16
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Author: Ned B. Klopfenstein
Publisher:
ISBN:
Category : Armillaria root rot
Languages : en
Pages : 16
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Book Description
Predicting climate change influences on forest diseases will foster forest management practices that minimize adverse impacts of diseases. Precise locations of accurately identified pathogens and hosts must be documented and spatially referenced to determine which climatic factors influence species distribution. With this information, bioclimatic models can predict the occurrence and distribution of suitable climate space for host and pathogen species under projected climate scenarios. Predictive capacity is extremely limited for forest pathogens because distribution data are usually lacking. Using Armillaria root disease as an example, predictive approaches using available data are presented.
Author:
Publisher:
ISBN:
Category : Forests and forestry
Languages : en
Pages : 88
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Author: Yun Wu (Plant pathologist)
Publisher:
ISBN:
Category : Armillaria
Languages : en
Pages : 44
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Author:
Publisher:
ISBN:
Category : Forests and forestry
Languages : en
Pages : 346
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Author:
Publisher:
ISBN:
Category : Forests and forestry
Languages : en
Pages : 540
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