| Home | Gateways | Academics | Admission | Directories | Site Index | SEARCH: |
Karl Didier
In January 1998, a severe ice storm struck northern New York, causing varying degrees of canopy disturbance. It is uncertain whether disturbed stands will successfully regenerate valuable hardwoods, including maple, yellow birch, and black cherry. Browsing by deer on regeneration could shift composition from highly to less valuable species, such as beech or herbaceous species. Information provided by this project will help managers ensure adequate regeneration after this and future disturbances. Heavy canopy disturbance occurred in many hardwood stands In disturbed stands, deer can cause dramatic shifts in community composition, in this case to hayscented fern.
![]() |
![]() |
![]() |
Objective #1
Assess the impact of deer on regeneration relative to the extent
of canopy disturbance. We constructed 25 exclosures over a gradient of canopy disturbance
(below), and paired each exclosed area with an unexclosed area.
Disturbance was
indexed by canopy openness, which was measured using fish-eye photographs
taken at a height of 3 ft. As expected, exclosed areas did not differ
from unexclosed areas for any vegetation class 1 growing season
after the storm (alpha =0.05). High disturbance areas differed from
low disturbance areas only for trees 1-6 ft. in height. More time
is necessary for understory development before deer impacts will
be detectable.
![]() |
![]() |
Objective #2
Assess the spatial patterns in regeneration and deer impact across the ice-storm area. We are determining spatial patterns in regeneration data from the ice-storm and U.S. Forest Service (above) using a 3-step process.
The first step uses spatial autocorrelation statistics to identify how data are grouped in space. Points closer to one another have similar densities, but as the distance between points decreases, points are less correlated.
The second step uses the autocorrelation model to estimate densities
between known points and produce a grid or contour map.
Finally, we can relate spatial patterns in regeneration to other
ecological variables, such as deer densities, soil type, or competing
vegetation.
Conclusion
In general, not enough time has passed for the understory to develop
or for deer to
impact regeneration in the ice storm area. Vegetation surveys scheduled
for this summer may reveal deer impact, especially in heavily disturbed
areas. We are uncertain whether deer will impact relative abundance
of valuable trees. Understory densities of sugar maple across broad-scales
exhibit note-worthy patterns, but fine-scale variability limits
the strength of these patterns. Multivariate analysis using explanatory
variables which exhibit broad-scale patterns holds promise for describing
regeneration patterns.
Funding provided by the New York State Department of Environmental Conservation, the Roosevelt Wild Life Station at SUNY-ESF, and Hancock Timber Resources Group.
For More Information Contact Karl Didier kadidier@syr.edu
About the author: Karl A. Didier : B.A. University of Southern California, M.S. SUNY-ESF, currently Ph.D. student at SUNY-ESF. Research interests include the indirect and direct effects of ungulate herbivory on ecosystem dynamics specifically looking at white-tailed deer in northern hardwood forests; broad-scale approaches to evaluating ecological patterns and relationships; and and elk restoration. I also dabble a bit in global environmental and economic issues, plant ecology, forestry, and biogeochemistry. After finishing my Ph.D., I'm thinking "short-order cook" sounds good, low stress.