Approaches to predicting potential impacts of climate change on forest disease : an example with Armillaria root disease / Ned B. Klopfenstein [and others].

Format:

Book

Government document

Author/Creator:

Klopfenstein, Ned B.

Contributor:

Rocky Mountain Research Station (Fort Collins, Colo.)

Series:

Research paper RMRS ; 76.

Research paper RMRS ; 76

Language:

English

Subjects (All):

Armillaria root rot--Northwestern States.

Armillaria root rot.

Douglas fir--Diseases and pests--Northwestern States.

Douglas fir.

Trees--Climatic factors--Northwestern States.

Trees.

Climatic changes--Northwestern States--Forecasting.

Climatic changes.

Climatic changes--Forecasting.

Douglas fir--Diseases and pests.

Trees--Climatic factors.

United States--Northwestern States.

Physical Description:

1 online resource (10 pages) : color illustrations, color maps

Place of Publication:

Fort Collins, CO : U.S. Dept. of Agriculture, Forest Service, Rocky Mountain Research Station, [2009]

Summary:

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.

Notes:

Title from PDF title screen (viewed on Feb. 17, 2010).

"July 2009."

Includes bibliographical references (page 10).

Other Format:

Print version: Approaches to predicting potential impacts of climate change on forest disease

OCLC:

518389215