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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
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
Scale Insect
Cryptococcus fagisuga (causal)
Xylococculus betulae (observed,
but causality not demonstrated)
PhotobyJ.Cale
PhotobyM.Johnston
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.
Identification of fungus to species
Photos by: Gretchen Dillon, SUNY-ESF
Mean ascospore length is used
to differentiate the two
Neonectria species
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
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
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
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
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
Thank you 2017 Field Crew!
Vizma Leimanis, Michael Mahoney, Jason Stoodley, and Grace Lockwood

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HB 2018-Who's who in beech bark disease

  • 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