1. Spatial and temporal patterns of
Neonectria spp. and beech scale occurrence in Bartlett, NH
Gretchen Dillon, M.S. Student, SUNY-ESF
Committee/Mentors: Mariann Johnston, RuthYanai, andTom Horton
Who's who in beech
bark disease:
N. ditissima vs. N.
faginata
2. Beech Bark Disease Complex
• Introduced beech scale (Cryptococcus fagisuga)
insect infests American beech (Fagus
grandifolia)
• Fungus (Neonectria sp.) infects tree
• Lesions impact cambium, gradual girdling
• Tree dies slowly from top down
• Roots survive longer, support sprouts
• White Mountains in aftermath phase
3. Scale Insect
Cryptococcus fagisuga (causal)
Xylococculus betulae (observed,
but causality not demonstrated)
PhotobyJ.Cale
PhotobyM.Johnston
4. Photo Credit: Gretchen Dillon, SUNY-ESF
Fungal Infection by Neonectria sp.
Photo Credit: Jon Cale, SUNY-ESF
Neonectria ditissima and Neonectria faginata fruiting bodies are
indistinguishable from each other by the naked eye.
5. Identification of fungus to species
Photos by: Gretchen Dillon, SUNY-ESF
Mean ascospore length is used
to differentiate the two
Neonectria species
6. BBD at Bartlett - Objectives
• What is the density and distribution of BBD &
causal agents across the Bartlett study area?
• Are there any apparent differences now (2017) in
density or distribution related to N and P
fertilization treatments?
• Establish a baseline record to facilitate
monitoring of future changes in scale insect
densities and Neonectria infections
7. Experimental Design
• Six stands were selected for monitoring
•Young (C2, C3), Mid (C4, C6), Old (C7,C8)
• Four treatment plots were evaluated per
stand (N, P, NP, Cont)
• Five trees were selected per plot
•Spaced as far apart as possible, 20-35 cm dbh
range
8. Photographic Documentation
• 8 photos per tree * 120 trees
= 960 photos
• Each is a 5 cm x 10 cm frame
• 1.5 M and 0.5 M height, four
cardinal directions
• Provides a baseline to
monitor future changes
Photos by: Gretchen Dillon, SUNY-ESF
Digital image analysis
ProgressTo Date
• Scale quantification is 25%
complete
• Preliminary Results:
• Treatment is a significant
predictor of scale density
• NP plots have lower scale
densities than N plots (p=0.04) or
P plots (p=0.05), but not different
from Control plots
9. Fungal Identification
Photos by: Gretchen
Dillon, SUNY-ESF
Photo by: Mariann Johnston, SUNY-ESF
• 306 samples were collected from 75 study trees between
9/22-11/5, 2017
Neonectria
identification
Progress to date
• Identification 80% complete
• 1.6% (4 of 245) are N. ditissima
• Co-occurred, young stands
• Remainder are N. faginata
• Genetic analysis confirms
microscopic ID
10. Future Work
• Complete Neonectria identification
• Document/map spatial distribution of Neonectria
across stands and treatment plots
• Complete photographic quantification of scale insect
• Is there a nutrient treatment effect now?
• Develop method and conduct photographic
quantification of lesion density
• Establish photo point monitoring and maintenance
schedule
• Establish protocol for detecting changes in future &
investigating relationship to nutrient treatments
11. Thank you 2017 Field Crew!
Vizma Leimanis, Michael Mahoney, Jason Stoodley, and Grace Lockwood