Approaches to predicting potential impacts of climate change on forest disease : an example with Armillaria root disease /

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...

Disgrifiad llawn

Manylion Llyfryddiaeth
Prif Awdur: Klopfenstein, Ned B.
Awduron Corfforaethol: United States. Department of Agriculture, Rocky Mountain Research Station (Fort Collins, Colo.)
Awduron Eraill: Kim, Mee-Sook, Hanna, John W., Richardson, Bryce Alan, 1974-
Fformat: Government Document Llyfr
Iaith:English
Cyhoeddwyd: Fort Collins, CO : U.S. Dept. of Agriculture, Forest Service, Rocky Mountain Research Station, [2009]
Cyfres:Research paper RMRS ; RP-76
Pynciau:
Disgrifiad
Crynodeb: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.
Disgrifiad o'r Eitem:Cover title.
"July 2009."
Disgrifiad Corfforoll:10 pages : color illustrations, color maps ; 28 cm
Available also in electronic format on the Internet.
Llyfryddiaeth:Includes bibliographical references (page 10).