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Pilot Study for
Thematic Reporting: India

Pilot Study for
Thematic Reporting: India

Dr. J. K. Rawat

(Director, Forest Survey of India, Dehradun)

National Correspondents Training, Global Forest Resource Assessment,

FAO, Rome (Nov. 17-21, 2003)

Slide 2

India’s Forestry Scenario at a Glance

Background to the Pilot Study for Country Reporting

Background to the Pilot Study for Country Reporting

Assessment of forest and tree cover by Forest Survey of India

FAO sponsored pilot study for assessment of status of sustainability of forest resources in India

Slide 4

Forest Survey of India

- An organisation under the Ministry of Environment & Forests, Government of India

-Conducts biennial assessment of forest cover based on satellite data and publishes findings in State of Forest Report every two years

-Carries out inventory of forest areas and Trees Outside Forests

-Takes up special studies, imparts training, etc.

Slide 5

State of Forest Report 2001

- Released in April 2003 (8th biennial report in the series)

- Forest Cover based on satellite data of Nov/Dec 2000

- Digital interpretation and classification at 1:50,000 scale (cartographic limit: 1 ha)

- Dense forest (canopy density>40%), Open forest (density 10-40%)

- Scrub (bushy, degraded, tree density <10%), not included in forest cover (other wooded lands)

- Assessment of tree cover (tree canopy below 1 ha) through field inventory, notional area covered by trees creating a forest of 70% density (10% found to consist of block plantations/forests of areas between 1.0 and 0.5 ha and included inother lands with trees”)

-Forest cover: 20.55% (dense: 12.68%, open: 7.87%); Tree cover: 2.48%; Total Forest & Tree Cover: 23.03 %

-Website www.fsiorg.net

Inventory of trees outside forests (TOF)

Inventory of trees outside forests (TOF)

Began in 1991-92 with objective to assess the extent of tree wealth outside forest areas (rural and urban)

Stratified random sampling method used for assessment

Country stratified into 14 physiographic zones and districts selected randomly spread over all the zones

Urban frame survey used for sampling and assessing TOF in urban areas

Satellite data (PAN and multi band) used for classification of TOF in rural areas into three broad categories (block, linear and scattered)

Computer operated model used for selecting sample sites for each category

GPS used for locating sample sites

Slide 7

Slide 8

Pilot Study

for

Assessment of the Status of Sustainability

of

Forest Resources in India

Sponsored by FAO, Rome

Conducted by Forest Survey of India, Dehradun

Slide 9

Common Thematic Areas for Sustainability of Forest Resources

1(a) Extent of forest resources

1(b) Contribution to the Global carbon cycle

2 Forest ecosystem health and vitality

3 Biological diversity

4 Productive functions

5 Protective functions

6(a) Social functions

6(b) Economic functions

Slide 10

Method Used and Steps Taken

A nodal officer and his team from Forest Survey of India was assigned duties to look after logistics and data processing needs for the study.

A group of 30 experts representing foresters, scientists, academicians, biologists, NGO’s, etc. from different institutions was identified and invited to participate in expert consultations.

Two expert consultations were planned with a gap of about two weeks for data compilation.

Group Convergence Method (GCM) was used.

Slide 11

During First Expert Consultation:

(Feb. 14-15, 2003)

1. Variables were identified for each thematic area

2. Relative weights were assigned to each thematic area and variable using GCM

Resource persons from among the experts were identified to compile data on these 48 variables

Slide 12

Thematic Area/Criteria Relative Weight

1(a) Extent of Forest 14.9

1(b) Contribution to Carbon 10.1

2 Forest Health & Vitality 13.3

3 Biodiversity Function 12.7

4 Production Function 12.3

5 Protection Function 12.6

6(a) Social Function 11.9

6(b) Economic Function 12.1

  Total 100.0

Slide 13

……. An illustration

Thematic Area 1a: Extent of Forests

1. Forest area 22.0

2. Forest cover 23.9

3. Diversion of forest lands 16.8

4. Trees Outside Forest (TOF) 19.2

5. Forest under management plans 18.1

Slide 14

During Second Expert Consultation:

(Mar. 05-06, 2003)

1. Evaluation: scores were assigned to each variable based on their data and trends (GCM applied for finalising scores)

2. Data quality was assessed and values were assigned (GCM applied)

Slide 15

Different Categories of Sustainability and corresponding Scores

(based on Data and Trends for a Variable)

Category Score

Unsustainable 1-25

Towards Unsustainability 26-50

Towards Sustainability 51-75

Sustainable 76-100

Slide 16

Slide 17

……. An illustration

Thematic Area 1a: Extent of Forests

Variables Score Data Quality

1. Forest area 73.2 4.6

2. Forest cover 69.9 4.3

3. Diversion of forest 59.2 3.2

lands

4. Trees Outside Forest 72.7 3.6

(TOF)

5. Forest under manage- 68.8 3.3

ment plans

Slide 18

……. An illustration

Thematic Area 2: Forest Health & Vitality

Variables Relative Score Weighted Data Weight Score Quality

Status of natural regeneration 13.9 36.4 5.0 3.2

Incidence of pest & disease 10.9 46.1 5.0 2.5

Incidence of weed infestation 10.2 39.3 4.0 1.8

Incidence of grazing 11.2 37.0 4.1 2.4

Incidence of fire 10.6 50.2 5.3 2.5

Pollutants 7.3 59.6 4.4 1.8

Density of forest canopy 14.1 69.5 9.8 3.9

Presence of indicator species 10.2 49.5 5.1 2.8

Forest fragmentation 11.6 45.6 5.3 3.0

Slide 19

Assessment of Data Quality

Data Quality No. of Variables

Very Poor 0

Poor 9

Satisfactory 30

Good 8

Very Good 1

Slide 20

Results of the Pilot Study

Status of Sustainability of Forest Resources

Criteria Relative Score Weighted

1(a) Extent of Forest 14.9 69.2 10.3

1(b) Contribution to Carbon 10.1 61.0 6.2

2 Forest Health & Vitality 13.3 48.0 6.4

3 Biodiversity Function 12.7 58.3 7.4

4 Production Function 12.3 52.0 6.4

5 Protection Function 12.6 59.7 7.5

6(a) Social Function 11.9 47.1 5.6

6(b) Economic Function 12.1 49.3 6.0

  Total 100.0 55.8

Some Suggestions for
Improving Methodology

Some Suggestions for
Improving Methodology

Wider representation in the group of experts

Separate scores for Data and Trend for each variable

Greater effort in compilation of data/trends where data quality is less than satisfactory

Or, recalculating the status after excluding a few variables for which data is poor

Similar exercise at sub-national (state or district) and local levels

Slide 22

THANKS


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