Rl. Kruse et Wf. Porter, MODELING CHANGES IN HABITAT CONDITIONS IN NORTHERN HARDWOODS FORESTS OF THE ADIRONDACK MOUNTAINS OF NEW-YORK, Forest ecology and management, 70(1-3), 1994, pp. 99-112
Interest in enhancing the management of forest timber and wildlife res
ources has stimulated the development of modeling techniques to predic
t changes in timber and wildlife habitat characteristics. We assess th
e potential of combining models which predict forest structure with th
ose which assess habitat quality to predict changes in forest habitat
characteristics. We measured variables important to simulating forest
growth and evaluating wildlife habitat in even-aged stands making up a
n 80 year chronosequence, and developed mathematical relationships bet
ween these sets of variables. The regression relationships were genera
lly excellent (r(2) or R(2) > 0.63), and most habitat variables were s
trongly related to stand age. In earlier work, we incorporated these m
odels into FORET, a model that successfully simulates succession in ha
rdwoods forests of the eastern USA. In the present study, we adapted F
ORET to accommodate the growing season and species composition of nort
hern hardwoods forests of the Adirondack Mountains of New York, creati
ng a new model called FORDACK. We compared stand measurements with out
put generated by the model. FORDACK accurately simulated changes in st
ructural characteristics of vegetation and predicted which species wou
ld be present in very low densities, but did not successfully predict
the relative densities of the dominant species. Predictions were close
st to actual conditions from 20 to 50 years after regeneration. The mo
del performed well in predicting trends in habitat variables such as c
anopy height and closure. Departures of simulated conditions from the
actual were greatest early (less than 20 years) and late in stand deve
lopment (more than 50 years). Poor performance in predicting species c
omposition may be related to excluding management history and site cha
racteristics from the model. The approach exemplified by FORDACK shows
good potential for predicting structural characteristics of wildlife
habitat.