John Heermans & Tyler Boutelle
Advisor: Marilyn Mayer
SLU Festival of Science 2001 Poster
Presentation
Young Sugarbush Stand Assessment and Management
Abstract:
Managing maple tree stands for the production of
maple syrup requires consistent monitoring of the quality and production
of the trees within the stand. To establish a mature maple stand
that is productive, young trees that have a high sugar content are kept
and given space to grow by cutting less productive trees. To improve
a young maple tree stand, the sugar content of the sap is measured to identify
the higher quality trees and the trees to thin. Thinning the lower
quality trees allows maple trees with higher sugar content in the sap room
to grow and necessary space required for the tree’s crown so that it is
not competing for sunlight and nutrients. Trees with a sugar content
of 3.5% are considered normal and trees ranging from 5% to 7% have higher
sugar content. The trees were ranked into three categories of sugar
content: A (6.0% to 7%), B (4.5% to 6.0%) and C (3% to 4.5%). Sampling
must be done by collecting a small amount of sap from the tree on one of
the first sap runs of the spring. The sap is then allowed to warm
to room temperature and sugar content is measured (% BrIX) using a refractometer.
This research was conducted at the Cornell Cooperative Extension Farm on
Route 68. A young stand on the farm property (trees less than 10
cm at diameter at breast height) was assessed to determine which trees
to cut and which to keep. The stand was approximately an acre in
size and contained approximately 300 saplings. All trees were sampled
in Spring 2000, and trees with the higher sugar content were resampled
in Spring 2001. Retesting the trees with the higher sugar content
in Spring 2001 was a way of assessing their variability between years and
the degree to which they lose their sugar content with age. The trees
with the highest sugar content last year measured lower this spring and
were not the highest ranked trees in 2001. A high level of variability
was detected, therefore several years data may be necessary to fully determine
the trees, which may be beneficial to keep, and the trees worth thinning.