Risk of white pine blister rust to limber pine in Colorado and Wyoming, USA

被引:14
作者
Kearns, H. S. J. [1 ,2 ]
Jacobi, W. R. [1 ]
Reich, R. M. [3 ]
Flynn, R. L. [4 ]
Burns, K. S. [5 ]
Geils, B. W. [6 ]
机构
[1] Colorado State Univ, Dept Bioagr Sci & Pest Management, Ft Collins, CO 80523 USA
[2] US Forest Serv, USDA, Sandy, OR USA
[3] Colorado State Univ, Dept Forest Rangeland & Watershed Stewardship, Ft Collins, CO 80523 USA
[4] Colorado State Univ, Dept Soil & Crop Sci, Ft Collins, CO 80523 USA
[5] US Forest Serv, USDA, Golden, CO USA
[6] US Forest Serv, USDA, Rocky Mt Res Stn, Flagstaff, AZ USA
关键词
CRONARTIUM-RIBICOLA; MANAGEMENT; DISEASE; RIBES; HISTORY;
D O I
10.1111/efp.12065
中图分类号
S7 [林业];
学科分类号
0829 ; 0907 ;
摘要
Cronartium ribicola, the introduced pathogen that causes white pine blister rust (WPBR), continues to spread to additional limber pine populations in the Southern Rocky Mountains of Colorado and Wyoming. Because WPBR can severely impact ecosystems, forecasts of its potential distribution and incidence would be useful to land managers. Site and climate data from long infested study areas in Wyoming were fit with two regression models [logistic and classification and regression trees (CART)] to determine the environmental conditions associated with the distribution of WPBR. These models were then used to map limber pine stands at risk of infestation by C.ribicola throughout Wyoming (where it has long occurred) and Colorado (where it is just becoming established). Although variables representing vegetation and landform could identify infested plots, 1-km-scale climate variables for monthly temperature and moisture were better predictors of current WPBR distribution and were available for mapping expected future distribution across the region. Of 280485ha where limber pine was projected to occur in Colorado, 41% was forecast by the logistic model to be at risk of infestation, and 53%, by the CART model. Of an estimated 782229ha in Wyoming with limber pine, the logistic model projected 61% to be at risk; CART projected 79%. Additional regression models were fit with site and climate data to predict WPBR incidence (per cent of trees infected) and intensification (incidence/age of the oldest canker). Nearly one half of the plot-to-plot variation in incidence was explained using environmental variables readily available to land managers. Although mean plot incidence increased over time, mean intensification decreased 50% per decade. This work provides managers with several tools to reduce uncertainty over the expected distribution and incidence of WPBR, but surveillance and monitoring remain prudent activities for supplementing forecasts of WPBR epidemics.
引用
收藏
页码:21 / 38
页数:18
相关论文
共 68 条
  • [1] [Anonymous], 1996, Applied Linear Regression Models
  • [2] [Anonymous], 1990, Classical and modern regression with applications
  • [3] Bailey R. G., 1998, MISC PUBL USDA, V1548
  • [4] Blodgett J. T., 2005, R20508 USDA FOR SERV
  • [5] First report of white pine blister rust on Rocky Mountain bristlecone pine.
    Blodgett, JT
    Sullivan, KF
    [J]. PLANT DISEASE, 2004, 88 (03) : 311 - 311
  • [6] Brown D. H., 1978, R213 USDA FOR SERV R
  • [7] Brown D. H., 1969, WHITE PINE BLI UNPUB
  • [8] Brown D. H., 1967, WHITE PINE BLI UNPUB
  • [9] The current and future dynamics of disease in plant communities
    Burdon, Jeremy J.
    Thrall, Peter H.
    Ericson, Lars
    [J]. ANNUAL REVIEW OF PHYTOPATHOLOGY, 2006, 44 : 19 - 39
  • [10] Burns K., 2011, FUTURE HIGH ELEVATIO, P47