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...
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| Corporate Authors: | , |
| Other Authors: | , , |
| Format: | Government Document Book |
| Language: | English |
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Fort Collins, CO :
U.S. Dept. of Agriculture, Forest Service, Rocky Mountain Research Station,
[2009]
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| Series: | Research paper RMRS ;
RP-76 |
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| 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. |
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| Item Description: | Cover title. "July 2009." |
| Physical Description: | 10 pages : color illustrations, color maps ; 28 cm Available also in electronic format on the Internet. |
| Bibliography: | Includes bibliographical references (page 10). |