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F. Walton Center for Remote Sensing and Spatial Analysis, Rutgers
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HEMLOCK
DECLINE IN THE
NEW JERSEY HIGHLANDS REGION
Mapping and Monitoring Eastern Hemlock Defoliation
Due to the Hemlock Woolly Adelgid
A Research Effort by Dr. Denise Royle
and Dr. Richard Lathrop
at the Grant F. Walton Center for Remote Sensing and Spatial Analysis,
Cook College, Rutgers University
Over the
past four decades, the eastern hemlock (Tsuga canadensis) has
been declining in health and vigor in eastern North America.
Although other factors may be involved, the major cause of hemlock
decline is infestation by an introduced, sap-feeding insect, the
hemlock woolly adelgid (Adelges tsugae). Feeding by the
adelgid causes hemlock needles to dry up and fall off the tree,
resulting in death to the tree within 2-4 years. Infested
hemlock branches appear to have tiny, cottony masses on the undersides
of the twigs where the needle attaches to the twig. This
cottony mass is the egg sac produced by the adelgid.
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Infestation by hemlock woolly adelgid (HWA) is thought
to have begun in Richmond, Virginia around 1953. Dispersed by
wind, birds, mammals, and even humans, HWA has spread into hemlock
forest stands in eleven states from Massachussettes to North Carolina.
The hemlock woolly adelgid infestations appeared in New Jersey
during the mid-1980's and caused significant mortality to some of
the more noted stands in the state by the early 1990's. The
map illustrates the spread of HWA infestation (red) as of 1995 (map
source: US Forest Service)..
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| USING
LANDSAT THEMATIC MAPPER DATA AND CHANGE DETECTION TECHNIQUES
TO MONITOR HEMLOCK FOREST HEALTH (Forest Science 43(3): 327-335)
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Defoliation
of eastern hemlock (Tsuga canadensis Carriere) forest caused mainly
by the hemlock woolly adelgid (Adelges tsugae Annand) was detected,
quantified, and mapped for a 1,267 square kilometer study area
in the New Jersey Highlands using anniversary dates of Landsat
Thematic Mapper data (1984 and 1994). A model relating estimates
of canopy condition to the temporal difference in near infrared/red
reflectance (i.e., the vegetative index difference) was developed
to predict and map four classes of hemlock condition across the
study area.
Data from 105 circular ground plots (90 meter diameter) were used
to develop the regression model, while data from 50 plots were
reserved for accuracy assessment. The vegetative index difference
was highly correlated to hemlock damage as measured on the ground
(R squared = 0.73). Lightly defoliated hemlock canopy did not
differ spectrally from healthy hemlock, thus these two classes
were joined together.
Accuracy assessment showed that hemlock condition can be predicted
within one-half damage class with an overall accuracy of 64% for
four damage classes, 70-72% for three classes, and 78-92% for
two classes. Of the 7,735 hectares of hemlock forest in 1984,
47% remained healthy to lightly defoliated, 44% had experienced
moderate to severe defoliation, and 9% were dead by 1994.
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A.
This is a 1984 Landsat TM image of Sparta Glen Park, in Sparta, NJ.
Each pixel has a ground resolution of 30 meters. Healthy hemlock forest
pixels appear red in color. This is the NIR/red reflectance pattern
for healthy hemlock forest. Neighboring deciduous forest pixels appear
blue-green or gray in color. Water appears black. |
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B.
This is a 1994 Landsat image of Sparta Glen Park, in Sparta, NJ.
Many hemlock trees on the western half of the park have died from
HWA infestation. Defoliated and dead hemlock forest appears as a
decrease in the intensity and number of red pixels.
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Denise Royle,
royle@crssa.rutgers.edu,
732 932 1582
Grant F. Walton Center for Remote Sensing and Spatial Analysis,
Rutgers University
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Grant
F. Walton Center for Remote Sensing and Spatial Analysis
14 College Farm Road
Cook College, Rutgers University
New Brunswick, New Jersey 08901-8551
732 932 1582
http://www.crssa.rutgers.edu/
web site by Denise Royle, Rick Lathrop, John Bognar
Last modified 2 October 2002
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