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Maharashtra working plan incorporates GIS
Application of GIS to Working Plan preparation
Forestry being
a long term business, foresters have been preparing perspective
plans for minimum time horizons of 10 to 15 years. The smallest unit
of management in India is considered a compartment. Based on
physiography and crop characteristics each compartment is allotted to a
particular working circle and a package of management practices is prescribed
for each working circle. The underlying assumption in this conventional approach
is that physiographic features and crop are uniform in the whole compartment.
This was true to some extent till about half a century ago when pressures on
forests were not as high as these are today. If we look at the compartments
today we find a lot of variability within each compartment both in terms of the
crop as well as the other conditions prevailing there. To illustrate the point a
typical forest cover map is shown.
The area shown in
the map is from North Dhulia Forest Division. Dark green colour represents
well-stocked forest, light green colour signifies under-stocked forest and
yellow colour is for barren patches. Such a situation is very common in all our
forests these days. Such varied conditions cannot be addressed to properly by
allotting the compartment as a unit to any particular working circle. This is
especially so when we are trying to step up our effort in the direction of
intensive management. Solution lies in prescribing many types of treatments
within each compartment by delineating it into sub-units. But unlike
compartments these sub-units of the compartment cannot be of permanent nature
and hence cannot be permanently delineated on the ground. Such a concept has
been adopted in our approach to working plans for the past some years. Working
plan officer prescribes that each coupe be delineated into the following types
of areas:
- Areas with more than 25°
slope
- 20 m wide buffer along the
drainage network
- Under stocked areas (crown
density 0.1 to 0.4)
- Blanks (crown density
<0.1)
- Well stocked areas (crown
density >0.4)
Different type of
treatment is specified for each of the above categories of areas. The actual
task of judging and delineating the areas on the ground is left to the last man
in the field. Each division has hundreds of coupes due for working each year
hence the above task is assigned to many persons with varying degrees of
experience and knowledge. The treatment map is prepared based on ocular
estimation. This process results in rather inaccurate and inconsistent treatment
maps. All the treatments are supposed to be carried out according to these
treatment maps. Hence the weakness of the present practice is
self-evident.
Working plan
officer too has to base his calculations on rough estimations, as he does not
have very accurate and consistent stock maps to work with. Moreover the input
for him is rather fixed and it is almost impossible for him to generate many
alternate strategies before picking the best ones.
This task of
preparation of treatment maps/ stock maps can be achieved quickly with much more
accuracy and consistency by using remotely sensed data in GIS environment.
Working plan officers can not only provide the territorial staff with accurate
treatment maps but they can improve their own calculations of yield etc. also.
This has been achieved for more than half a dozen divisions in the state of
Maharashtra and all future revisions of working plans are proposed to be based
on this approach.
Besides
delineating the coupe areas on the basis of crown density and physiographic
features working plan officer requires an extensive forest inventory data to
base his prescriptions in terms of different treatments. We are using random
start systematic line sample plot method for inventory data collection. The
whole area of the division is divided into grids of 600m X 600m on the Survey of
India topo sheets. These maps are provided to the field inventory units. They
locate these points on the ground by chain & compass survey and then layout
sample plots for tree enumeration and regeneration survey. So for every 36 ha.
area on the ground we have a sample plot.
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