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PROJECT COMPLETION REPORT

A. Project Identification

a) Title: Establishment of a network to facilitate collection, processing and dissemination of statistics pertaining to tropical timber and other forestry parameters in India

b) Serial Number: PD 291/04 Rev. 2(M)

c) Executing Agency: Indian Council of Forestry Research and Education, Dehradun

d) Host Government: Government of India

e) Starting Date: 1st July 2006

f) Actual Duration (months): 36 months

g) Actual Project Costs (US$): 2,41,478.00

PART I: Executive Summary

1. Background Information About the Project

Statistical capacity building for the forestry sector is one of the major issues confronting India. Documenting and

The Indian Council of Forestry Research and Education (ICFRE), with its headquarters at Dehradun, Uttaranchal, is an autonomous body under the Ministry of Environment and Forests, Government of India. The mandate of the council is to organize, direct and manage research and education in the forestry sector of the country. There are a total of eight research institutes and three advanced centers under the jurisdiction of ICFRE, which are spread throughout the country. The institutes are mandated to do research and extension activities pertaining to the states of the Union of India mandated to them.

The Division of Statistics (DoS) was created at ICFRE under the Forestry Research, Education and Extension Project (FREEP) to facilitate collection of statistics related to Forestry (timber and other forestry parameters). The statistics so acquired and disseminated are invaluable for planning, policy analysis and decision making on forestry investment and development programs as well as to monitor and evaluate impact of policies and programs, and as such are used by different agencies involved in such programmes.

The Division of Statistics, ICFRE is presently involved in collecting data related to forestry, from primary and secondary sources on a national scale, and processing the same. The data are checked for reliability and are regularly published for dissemination. In order to facilitate collection, processing and dissemination of data, formats have been designed and distributed to the State Forest Departments and the research institutes under ICFRE. The data collected is published in the form of Forestry Statistics India and Timber / Bamboo Trade Bulletin. In order to provide further momentum to the task of data collection, Nodal Officers at each institute under ICFRE were nominated. The primary task of these Nodal Officers is to interact with the State Forest Department officials, Collect the data required and send it to DoS, ICFRE.

Presently there are many constraints in the collection of data. The various agencies involved in this task are not consistent in sending the data to DoS for compilation and dissemination. As a result, it not only affects the continuity in data collection important for future statistical work, thus creating a huge gap in the databank, but also affects the ability of the DoS to provide timely information to other national and international agencies, and that too on a regular basis. In the absence of a mechanism to facilitate, monitoring and control of all – important work of data collection, market information on the various parameters of importance to forestry is greatly hampered. Further, maintenance of up to date databank has become extremely difficult in the absence of any such mechanism.

Based on discussions and meetings with the Nodal Officers, it has been decided to move a step further and establish a multi – tier network comprising of district and state level statistical correspondents (from the State Forest Departments), the zonal level Nodal Officers, coming mostly from the research institutes under ICFRE and the DoS, ICFRE, at the national level.

Further, the need of setting up a coordinating agency at the level of the Ministry of Environment and Forests was also felt. Besides this, the need for strengthening the Statistics Division in each State Forest Department and the need for developing and electronic dissemination methodology was also felt. The refining of the format designed for data collection and training the primary level investigators is necessary to include in any such program as the reliability of data depends entirely on their efficiency and appreciation of the required degree of reliability. The formats should also be made uniform and complete in themselves as the data are a time – series and any gap will be detrimental to the dissemination. The zone level Nodal Officers and the research institutes may double up as training centers for the primary investigators to fill up the unwanted gap. It was also decided to strengthen the analytical capabilities of the research institutes and Division of Statistics (DoS), ICFRE by adequate training and other facilities.

OUTPUT

3.1 Specific Objective 1

To develop a set of formats for collection of data at district level in line with the formats of ITTO and other agencies, both National and International.

• Output 1.1: A working group comprising of representatives from State Forest Departments, Ministry of Environment and Forests, Indian Council of Forestry Research and Education and other agencies involved in forestry made operational.

• Output 1.2: A well-structured format for data collection, along with units of measurement and data validation techniques designed.

3.2 Specific objective 2

To create assets and build human capacity for collection of data in the developed formats

• Output 2.1: A working manual for implementation of the agreed formats consolidated, printed and distributed.

• Output 2.2: Training to field staff.

• Output 2.3: The Statistical Laboratory at ICFRE and statistical cells at the institutes of ICFRE strengthened.

• Output 2.4: Preparation of final report.

The project aims to improve the statistical system of the forestry sector in India. This will further improve the forest management and market dynamics related to this sector. The project will take the advantage of the existing system of data collection and dissemination through the timber trade bulletin and the Forest Statistics India. Basic tools to support and establish the Forestry Statistics System and Network will be developed. The constraint in data collection is sought to be removed by developing a mechanism, predominantly

electronic, by active involvement of all the stakeholders. A coordinating agency is proposed to be set up at the Ministry of Environment and Forests, New Delhi to add further momentum to the process of collection of data and also to ensure the sustainability of the collection and dissemination of data.

The National Statistical Commission has already highlighted the discomfort in the data related to forestry sector of India. A number of plans are underway to strengthen the forestry data collection mechanism. One of the main problems that invariably creep in is that of heterogeneous units in use. Estimation of ratios to arrive at conversion factors thereby homogenizing the units will also be taken up to enhance the quality of data collected.

The project strategy considers the identification and analysis of factors responsible for the delay in collection and dissemination of data and making the system more responsive to the requirements by sensitizing the responsible parties to the relevance and importance of making the collection of data harmonious with the scale of measurement and time.

The creation of a mechanism to achieve the ultimate goal of collection of precise and accurate data will also help other countries in the region to respond to the situation. A model developed and implemented will provide inputs for other works of such nature.

The data are collected regularly at present at the forest management unit for administrative purposes. The requirement is to create a channel for the dissemination of these data and recasting them in the formats of ITTO and other interested parties. The present structure of data dissemination needs to be strengthened and technology used in order to speed up the process of collection, processing and dissemination of data. The project will aim at creating this channel and ensuring its self – sustainability through capacity building human resources and capital assets.

The project strategy is to place the Indian Council of Forestry Research and Education, which is at present mandated by the Ministry of Environment and Forests, Govt. of India, to collect, process and disseminate data related to forestry sector of India, at the focal point of data collection and processing. It aims at establishing ICFRE as the node and develop liaison with stakeholders and data providers. The network is depicted in the flowchart below:

State Forest Departments

Forest Based Industry

Export – import of forestry products

Indian Council of Forestry Research and Education

Ministry of Environment and Forests, Govt. of India

ITTO

Other interested parties and organizations under Govt. of India and

other international organizations

The developed electronic formats in the appropriate database software will be made available to the Nodal Officers (Statistics) of ICFRE institutes. The workshops proposed in the project will strengthen the liaison of the Nodal Officers (Statistics) at ICFRE institutes with the state forest departments. The validation rules will be inbuilt into the electronic form of the developed formats. The data so collected will be transmitted to the Nodal Officers who will in turn transmit the same to ICFRE after proper scrutiny.

Planned Duration: 24 months

Actual Duration: 36 months

Planned Budget:

SOURCE CONTRIBUTION IN US$

ITTO 216378

ICFRE 25100

TOTAL 241478

2. Project Achievements

The achievements of the project outputs – wise and objective – wise are detailed below:

A. Outputs achieved

Output 1.1: A working group comprising of representatives from State Forest Departments, Ministry of Environment and Forests, Indian Council of Forestry Research and Education and other agencies involved in forestry made operational.

Achieved. A working group comprising the SFDs through the identified State and District Correspondents, the ICFRE through the Division of Statistics and the Ministry of Environment and Forests through the Survey and Utilisation Division, who coordinates the statistical aspects of the forestry data collection and other stakeholders like the Central Statistical Organization of the Ministry of Statistics and Programme Implementation participated in the deliberations that took place to standardize the mechanism of information collection and dissemination and arrived at a consensus of the relative importance of the parameters and addresses the issues thereto.

Output 1.2: A well-structured format for data collection, along with units of measurement and data validation techniques designed.

The transition of formats to a spreadsheet based solution has been achieved. The entire set of formats has been divided into ten sections, each corresponding to a composite chapter, namely Resource, Establishment, Products, Wood Removals, Non-Wood Forest Products (NWFP), Services, Socio-economic Aspects, Primary Trade, Secondary Trade, and Silviculture. The issues of data requirements of national and international organizations have been appropriately addressed. Relative importance of the parameters has been worked out. The formats developed under the project have been implemented in the field and Forestry Statistics India – 2009, containing data for the years 2006-07 and 2007-08 (1st April 2006 to 31st March 2008) will be a product of these formats.

Output 2.1: A working manual for implementation of the agreed formats consolidated, printed and distributed.

A working manual of the forestry statistical reporting system has been developed. The manual contains details like relative importance, frequency of collection, source, etc. in respect of each parameter. The manual is so designed as to reduce the time gap in collection and dissemination of information.

Output 2.2: Training to field staff.

The field staff of ICFRE, i.e., the Nodal Officers (Statistics), has been imparted training in implanting the manual at five locations, at Jodhpur, Jabalpur, Coimbatore, Dehradun and Ranchi.

Output 2.3: The Statistical Laboratory at ICFRE and statistical cells at the institutes of ICFRE strengthened.

The Statistical Laboratory at ICFRE has been created and strengthened under the project. Analytical and estimating capacities of the Statistics Division of ICFRE, the central agency involved in data collection and dissemination has been vastly improved. Statistical Cells have also been strengthened at the institutes, but they require more inputs to function at an optimum level.

Output 2.4: Preparation of final report.

Achieved.

B. Specific Objectives Achieved

Specific Objective 1: To develop a set of formats for collection of data at district level in line with the formats of ITTO and other agencies, both National and International.

This objective has been achieved via outputs 1.1 and 1.2 above

Specific Objective 2: To create assets and build human capacity for collection of data in the developed formats

This objective has been achieved via outputs 2.1, 2.2 and 2.3 above.

C. Contribution to the Achievement of the Development Objective

Development Objective:

To contribute to the national and international initiatives in collection, processing and dissemination of statistics in respect of tropical timber and forestry sector of India with an aim to promote sustainable utilization of forests through analysis of relevant data to identify the parameters within which utilization should proceed.

The outputs, activities and specific objectives have contributed towards achieving the developmental objective stated above. The aim of sensitizing the SFDs and other stakeholders about the national and international requirements in respect of statistics pertaining to the forestry sector has been achieved. The roles and responsibilities of a national forest databank and the need to create it have been highlighted. The data collection initiatives have included the issue of sustainable forest management as well. These collective initiatives will immensely contribute to

create a national forestry database management system which will return queries that can be utilized to make policies for sustainable management of forests.

3. Target Beneficiaries Involvement

The main target beneficiaries of the project were the institutes of ICFRE, SFDs and other agencies interested in forestry statistics. These organizations participated in the project activities actively and gave suggestions for harmonizing of the formats in tune with the national and international requirements. The workshops conducted under the project ensured that recommendations to incorporate these suggestions were highlighted and made operational. The revised questionnaires were devised and discussed at length with these organizations and tested in the state forest departments by the institutes of ICFRE. The 2009 issue of Forestry Statistics India will be taken out using these formats.

4. Lessons Learned

a) Development Lessons

The project has contributed in understanding the complex mechanism of data collection and dissemination in India. There is a lot of diversity in reporting systems, which has been captured and incorporated in the newly developed questionnaires. The main developmental lessons learnt can be summarized as follows:

• The National Forestry Database Management System (NFDMS) should be created urgently to address the issue of delayed data processing and dissemination. This NFDMS needs to incorporate the data validation mechanism to be effective.

• The system of measurements needs to be harmonized, if not made uniform, in order to be effective. The exercise for harmonizing measurement units can be carried out as a sample survey in the state forest departments and other stakeholders for inclusion in the NFDMS.

• The statistical system in the forestry sector of India needs constant updation in implementation. With the changing role of forests and emphasis on conservation, the NFDMS should also address the issue of criteria and indicators of SFM.

b) Operational Lessons

• The cycle of data collection can not be reduced to monthly or quarterly. The data collection pertains to the financial year (1st of April of the current year to 31st of March of the subsequent year) and coinciding it with calendar year is difficult unless a system of filing at least quarterly data returns is in place.

• A systematic segregation of parameters is important to regulate the response and decrease the non-response. The exercise has been conducted and a three – tier system has been evolved to ensure the timely dissemination of information. The parameters which are reported upon can be divided into three broad categories:

Level 1: Unavoidable/must

Unavoidable/must (those variables and sub-variables should be included data on which is must from economic point of view, i.e., should be contributing share of forestry sector in the country’s GDP. The data on these parameters are must and all efforts should be made to collect and collate them from the possible sources

Level 2: Necessary

In this category, those variables and sub-variables should be included data on which is necessary for planning and management of forestry programmes in the states and at country level. Inclusion of these parameters in the databank will enhance the quality of the databank and will provide ancillary information necessary for policy analysis and research.

Level 3: Desirable

In this category, those variables and sub-variables should be included data on which is desirable for further refinement of information. The parameters included here are either segregated from the main variables or are entirely new and are important to correlate the policy with decisions and after-effects.

Production and Removals

Although removals can be determined directly, production figures have to be estimated through sample surveys. Production of Pulp, Charcoal, Packing material, etc. has to be estimated through properly laid out and executed sample surveys. The sampling strategy to be standardized and the technique included in the working manual. Permanent sample points in paper and pulp industry to be established to generate a time-series for future estimation.

Trade

Data on trade (import and export) is directly available with Customs, however, mapping is essential to tag the database provided to the database being created in the project.

5. Recommendations

• The data collection should be initiated by the first week of May and should be ideally be completed by the last week of July. The scrutiny and validation of data and obtaining of improved or correct figures from the source should be over by September. The Forestry Statistics India should be ready for publishing by October to November. The reference period should be the last financial year.

• Efforts should be made to collect past data where it is not available, to see trends and estimate / forecast any future value for policy making. It is generally seen that the past years’ Forestry Statistics India has many gaps that need to be filled.

• Recalibration of rates and ratios should be done periodically through sample surveys in case estimations have to be done because of non-availability of data.

• Data from industry should be collected through a sample survey using baseline data. If not available, a sample survey on pulp, paper and hardboard industry of India should be taken up on priority basis for creating baselines and also to establish permanent sample points for sustained data collection.

• Sources for wood chips and other variables should be identified and sample surveys be conducted to estimate the output/revenue. A sample survey for information relating to pulp should be carried out for estimation.

• Timber production from outside forest area is an important constituent related to forestry operations and must find a place.

• Data on employment generation by the forestry sector should be included

• Unrecorded production of industrial wood and production of minor forest produce are grossly underestimated. Methodologies should be developed for a fair estimation of these products.

• Wood and NTFP production data from social forestry farm forestry, agro forestry are not available. These data need to be collected or estimated.

• Methods should be evolved to incorporate service functions of forestry (recreation, eco-tourism etc.) in GDP estimation.

• Information on production data from forest under private lands (state-wise) and from community land needs to be generated. Also data on species wise timber production and their prices have to be collected.

• Both the human and the technology can provide the better result and solution.

• Emphasis on uniformity in the units of measuring Non Wood Forest Products. (Bamboo & others)

• It has been observed by experts groups coming to consensus that data regarding forest related issues is available and consistent in some areas but there are few gray areas where much focus is needed for continual retrieval of data.

• Any forestry data should contain data related to extent, health, biodiversity, production, protection, socio-economic, policy etc.

• Investment in information collection is essential to build a sound information system. Nationwide study is essential and not case study.

• A 5 year project should be undertaken by ICFRE for capacity building of forest staff for data collection. Interested parties like ITTO and FAO may consider supporting a thematic programme on Forestry Statistics in India.

PART II: Main Text

1. Project Results

A. Working Group for addressing issues of statistics pertaining to forestry sector of India

The stakeholders in statistics pertaining to the forestry sector are manifold. The project sought to identify the stakeholders and bring them on a common platform to discuss the issues related to forestry statistics. The main end-use of the forestry data is to estimate the contribution of the sector to the Gross Domestic Product of the country. The figures are regularly released by the National Accounts Division of the Central Statistical Organization of the Ministry of Statistics and Programme Implementation, Government of India. Other stakeholders include the state forest departments, wood and forest based industry, Directorate General of Commercial Intelligence and Statistics under the Ministry of Commerce, Government of India and other arms of the Ministry of Environment and Forests, Government of India.

Working group for the forestry statistics is important not only to address the concerns related to the National Forestry Databank, but also to regularly update the conceptual model of the databank with ever changing definitions of the role of forests in the economy. The stakeholders have been identified and included in the group to provide sustainability to the data collection initiatives of ICFRE. The formats for collection of data have been devised with active participation of the stakeholders. This has ensured that the concerns of the stakeholders have been addressed and they are also in the knowledge of what is being recorded and how. They are now also in a position to provide their guidance and comments as and when required or when they feel they need to intervene in the process to change its direction or include new techniques, parameters, etc. The revision of the National Industrial Classification 020 was also referred to ICFRE as a result, and comments were provided for the forestry and logging sector for the purpose of GDP estimation.

B. The network of Forestry Statistics Represented Organization Representative Point Activity

Ministry of Environment and Forests, Government of India

Deputy Inspector General, Survey and Utilisation, Ministry of Environment and Forests, Government of India

National Focal Point for ITTO activities in India

Indian Council of Forestry Research and Education, Dehradun

Assistant Director General (Statistics), ICFRE

Nodal Officers (Statistics) in each of the following eight ICFRE institutes (these Nodal Officers are nominated by the Directors of the institutes):

1. Forest Research Institute, P.O. New Forest, Dehradun. Phone: 0135 2756865

2. Institute of Forest Genetics and Tree Breeding, R.S. Puram, Coimbatore. Phone: 0422 2430549

3. Institute of Wood Science and Technology, 18th Cross, Malleswaram, Bangalore. Phone: 080 23346822 – 13

4. Tropical Forest Research Institute, Mandla Road, Jabalpur. Telefax: 0761 2840484

5. Arid Forest Research Institute, New Pali Road, Jodhpur Telefax: 0291 2722764

6. Himalayan Forest Research Institute, Conifer Campus, Pantaghati, Shimla, (H.P.) Phone: 0177 2627804 – 06

7. Rain Forest Research Institute, A.T. Road (East), Jorhat, Assam. Phone: 0376 2350356 – 57

8. Institute of Forest Productivity, Lal Gutwa, Ranchi. Telefax: 0651 2546044

Mandated for data collection and dissemination

Other central stakeholders National Accounts Division, Central Statistical Organization, Ministry of Statistics and Programme Implementation, Government of India

National Accounts – Gross Domestic Product and National Income

Indian Agro and Recycled Paper Mills Association, Technical Support Division, 12/22, 1st Floor, East Patel Nagar , New Delhi – 8. Fax: 011 25768639; Phone: 011 25862301 Email: [email protected] Federation of Indian Panels and Plywood Industries, 404, Vikrant Tower, 4, Rajendra Place, New Delhi – 8 Phone: 011 25755649; Fax: 011 25768639 Email: [email protected] Directorate General, Commercial Intelligence and Statistics (Ministry of Commerce, Government of India) 1, Council House Street, Kolkata – 1 Director General, Forest Survey of India, Kaulagarh Road, Dehradun Director, Wildlife Institute of India, Chandrabani, Dehradun

State Forest Departments Statistical Cells in the office of the PCCFs of state forest departments (where they exist)

Data sources

Additional Nodes in some SFDs

CF, Territorial, Assam CF Headquarters, Assam DCF (Planning and Monitoring), Andaman & Nicobar Islands Regional Chief Conservator of Forests, Patna, Bihar Working Plan Officer, Patna Chief Conservator of Forests, (Working Plan), Raipur Chief Conservator of Forests, PPME Office of the PCCF, Gujarat State, Dr. Jivraj Mehta Bhavan, Old Sachivalaya, Block No. 14/1, Gandhinagar Divisional Forest Officer, Statistics Division, Srinagar Chief Conservator of Forests, Working Plan, Satpuda Bhawan, Bhopal Chief Forest Statistician, M.S. Nagpur, MECL Building, Near TV Tower, Highland Drive Road, Seminary Hills, Nagpur – 440 006

Conservator of Forest, Project Formulation

Research Training & Joint Forest Management, Van Bhavan, Jaipur

Chief Conservator of Forests, Garhwal, Uttarakhand Conservator of Forests, Social Forestry & Afforestation Circle, Ranchi CF, Evaluation, O/O PCCF, Orissa, Bhubneshwar - 16 Deputy Conservator of Forests/ Admn. & Plg., O/O the PCCF, Manipur, State Forest Department, Manipur Dy Conservator of Forests (S&P) O/o PCCF Itanagar Conservator of Forests, Project Office of the Principal Chief Conservator of Forests, West Bengal, “ARANYA BHAWVAN”, Block LA – 10A, Sector – III Salt Lake City, Kolkata – 700 098 Conservator of Forest (M&E) O/o the Principal Chief Conservator of Forests Meghalaya, Shillong

Forest Development Corporations

Managing Directors of Forest Development Corporations of the states

Data sources

The States / Union Territories with which ICFRE Nodal Officers (Statistics) of ICFRE institutes liaise for data collection:

S. No. Institute States 1. Forest Research Institute, P.O.

New Forest, Dehradun Uttarakhand, Uttar Pradesh, Punjab, Haryana, Chandigarh, Delhi

2. Institute of Forest Genetics and Tree Breeding, P.O. R.S. Puram, Coimbatore

Tamil Nadu, Kerala, Andaman & Nicobar Islands, Pondicherry, Lakshadweep

3. Institute of Wood Science and Technology, Bangalore

Karnataka, Goa, Andhra Pradesh

4. Tropical Forest Research Institute, Mandla Road, Jabalpur

Madhya Pradesh, Orissa, Chattisgarh, Maharashtra

5. Arid Forest Research Institute, New Pali Road, Jodhpur

Rajasthan, Gujarat, Daman & Diu, Dadra & Nagar Haveli

6. Himalayan Forest Research Institute, Conifer Campus, Pantaghati, Shimla (H.P.)

Himachal Pradesh, Jammu & Kashmir

7. Rain Forest Research Institute, Assam Trunk Road, Jorhat, Assam

Assam, Arunachal Pradesh, Sikkim, Manipur, Meghalaya, Mizoram, Tripura, Nagaland

8. Institute of Forest Productivity, Lal Gutwa, Ranchi

Jharkhand, Bihar, West Bengal

C. Formats for data collection and dissemination

The formats that were used prior to the project implementation were mostly based on word processing and, consequently, were not implementable in a spreadsheet for addressing the data validation issues. The chapters, which were although coherent, were too many (17 of them) divided into 77 tables. The older formats were also not in a position to cater to the national and international requirements. Much time was spent in translating these formats into other ones that were devised by the stakeholders.

The new formats that have been formulated under the project with the active participation of the International Consultant, Mr. Felice Padovani of the FAO, have addressed this issue. The new formats are spreadsheet-compatible and are easy to translate into fulfilling the requirements from the national forestry sector databank. The formats consist of 10 sections, namely Resource, Establishment, Products, Wood Removals, Non-Wood Forest Products, Services, Socio-Economics, Primary Trade, Secondary Trade and Silviculture. Each of the section comprises parameters that are related to the section and thus, form a chapter. The various sections and included parameters along with the sources are given below:

SECTION 1: RESOURCE

Main variable Sub-variable Source Area under forest cover Forest Survey of India Geographical area Actual forest cover Recorded forest cover Area by ownership State Forest Departments

Forest Department Reserved Protected Unclassed Under sanctioned working plans

Other Revenue department Corporate bodies Community Private forest Area by composition State Forest Departments

Coniferous Species-wise Non-coniferous Species

Others Mixed Species

Area under encroachment State Forest Departments Compensatory afforestation Inspector General of Forests (FC), MoEF Wastelands Statewise Category-wise State and Category-wise Afforestation State Forest Departments On forest land Outside forest land

Fire State Forest Departments No. of instances Area involved Loss estimated Grazing land State Forest Departments

SECTION B: ESTABLISHMENT

Main variable Sub-variable Source Revenue State Forest Departments expenditure Organization Circles

Territorial Circles Divisions Ranges

Functional Circles Divisions Ranges Research (under states) Number of Institutes No. of Scientific Personnel No. of Scientific Assistants No. of Projects Expenditure on Research Training

Training Schools Range officers Foresters Forest guards

Trainees Range officers Foresters

Forest guards

Staff (Under SFD) Principal Chief Conservator of Forests (PCCF) Additional PCCF Chief Conservator of Forests (CCF) Conservator of Forests Deputy Conservator of Forests (DCF) Assistant Conservator of Forests Range Officers Deputy Rangers Foresters Forest Guards Scientific Officers Veterinary Statistical Officers Law Officers Ministerial staff Drivers

Others Staff (under Central Government) Director General of Forests (DGF)

Ministry of Environment & Forests, Government of India

Additional DGF Inspector General of Forests Deputy Inspector General of Forests Assistant Inspector General of Forests Directors Regional CCF

Regional DCF

Research (under Center) Institutes No. of Scientists No. of Scientific Assistants

SECTION C: PRODUCTS

Main variable Sub-variable Quantity Charcoal Consumption Surveys/SFDs

Chips and Particles Wood Residues Sawnwood State Forest Departments/Saw Mills

Species Wood Based Panels

Federation of Indian Panels and Plywood Industries

Veneer Sheets Species Plywood Species

Particleboard Species Fibreboard Species

Hardboard Species MDF (Medium Density) Species

Insulating Board Species Wood Pulp Indian Agro and Recycled Paper Mills

Association/Wood Pulp Manufacturers Association/Industrial Associations Pulp and paper surveys

Mechanical Semi-chemical Chemical Sulphate Unbleached Sulphate Bleached Sulphite Unbleached Sulphite Bleached Dissolving Grades Other Pulp Pulp from fibres other than wood Recovered pulp Recovered Paper Paper and Paper Board Graphic paper Newsprint Uncoated mechanical Uncoated wood free

Coated papers

Sanitory and household paper Packaging material Case material Carton board Wrapping paper Other papers mainly for packaging Other paper and paperboard NES Forest Based Industries

Paper Industry Installed capacity Industrial Associations

Production Estimated demand Import Export

Wood Based Factories Central Statistical Organization

SECTION D: WOOD REMOVALS

Main variable Sub-variable Source Fuel Wood (including wood for charcoal) Species

State Forest Departments

Industrial Roundwood (wood in rough) Sawlogs and Veneer Logs Species

Pulpwood (round and split) Species Other industrial Roundwood Species

SECTION E: NON-WOOD FOREST PRODUCTS

Main variable Quantity Sal Seeds

State Forest Departments/Surveys/Societies

Tendu/Beedi leaves Gums Resins Canes and Rattans Bamboos Other NWFPs (mention species) Medicinal Plants

SECTION F: SERVICES

Main variable Sub-variable Source Wildlife Wildlife Institute of India

Wildlife sanctuaries National Parks Zoos Funds under Project Tiger Director, Project Tiger Funds under Project Elephant Director, Project Elephant

Funds under Eco-Development Project Director, Project Tiger Tiger Population Director, Project Tiger Tiger Reserves Director, Project Tiger Biosphere Reserves Eco-tourism State Forest Departments

No. of sites Tourists inflow Revenue collected Environmental Data Department of Meteorology

Average monthly rainfall Average monthly Temperature Average monthly Humidity Pollutants Pollution Control Boards Climate Change issues State specific carbon tables SFD/Research Organizations

SECTION G: SOCIO-ECONOMIC Main variable Sub-variable Source

Geographical Area and population Registrar General of Census, India

Population Male

Female

Central Sponsored Scheme for Afforestation Physical Planning Commission Financial

Joint Forest Management State Forest Department

No. of Projects No. of Committees

Area involved Forest Offences State Forest Department

Indian Forest Act 1927 Wildlife Act 1972

Other State Forest Acts Plan Outlay Planning commission

Annual plan - Forests and Wildlife Annual Plan - Ecology and Environment

Forest Villages No. of villages State Forest Department

Total Population Employment Generation State Forest Department

Activity wise no. of mandays generated Road laying Construction Felling Clearing

Fire fighting

NWFP collection

Planting operations

Others Agro-forestry SFD/Research Organizations

Models Area under agroforestry crop

SECTION H: PRIMARY TRADE

Main variable Sub-variable Source Roundwood

Director General, Commercial Intelligence and Statistics

Woodfuel including wood for charcoal Industrial Roundwood (wood in rough) Wood Charcoal Wood Chips and Particles Wood Residues Sawnwood Species Woood Based Panels

Veneer Sheets Species Plywood Species

Particleboard, OSB, others Species Fibre board

Hardboard MDF Other

Wood Pulp Mechanical

Semi-chemical Chemical

Sulphate Unbleached Sulphate Bleached Sulphite Unbleached Sulphite Bleached

Dissolving Grades Other Pulp Pulp from fibres from other than wood Recovered fibre pulp Recovered Paper Paper and Paper Board

Graphic Paper Newsprint Uncoated mechanical Uncoated wood free Coated papers Sanitory and Household Papers Packaging Materials

Case materials

Cartonboard Wrapping papers Other papers for packaging

Other Paper and Paper Board NES

SECTION I: SECONDARY TRADE Main variable Sub-variable Quantity

Secondary Wood Products Directorate General, Commercial Intelligence and Statistics

Further Processed Sawnwood Species 1 Wooden Wrapping and Packing Material Wood Products for Domestic Use Other Manufactured Wood Products Builder's Joinery and Carpentary Wooden Furniture Prefabricated Buildings

of which made of wood Secondary Paper Products Composite Paper and Paper Board Special Coated Paper Carbon Paper and Copying Paper Household and Sanitory Paper Packaging Cartons Other Articles

Printing and Writing Modules/pressed from pulp

Filter Paper and Paperboard, ready for use Printed Articles

Books Newspapers

Other printed products

SECTION J: SILVICULTURE Main variable Sub-variable Source

Seed Production Area State Forest Departments/Research Organizations

Species No. of locations Area Quantity of seed produced Quantity of seeds supplied To where

Vegetative Multiplication Gardens Species No. of locations

Area Quantity of seed produced Quantity of seeds supplied To where

CSO Species No. of locations


SSO Species No. of locations


Nurseries Species No. of locations

Seedlings raised Seedlings supplied To where

D. Working Manual for Data Collection

The initiatives of data collection have been strengthened by developing a manual for collection and dissemination of data. This manual identifies and defines the status of each parameter and prioritizes them according to their importance in the sectoral context. The manual design consists of a table that explains the parameter and is given as follows:

Parameter Level

Priority Source Source type Data type Frequency Data segregation To be collected by

Sub-parameters Unit Source Notes

The manual is provided with a section to make notes and will be used by the field investigator to record specific observations which may have been left out during this project. This will ensure incorporating them when this manual is revised. The manual will be critically analyzed after the publication of each Forestry Statistics India and a fresh issue will be released, if required, for the ensuing publication.

Another important part of the manual is the Calendar for statistical reporting. This calendar is in tune with the commitments expected from the National Forestry Databank. The calendar devised after consultation with the stakeholders is given below:

The requirements of the various stakeholders is such that a common calendar of activities related to collection and processing of data from the various sources in essential to cover all the requirements in an optimum manner.

S.

No. Activity Number of

cycles Initiation Completion Periodicity

1. Data on fuelwood removals

1

2

April

July

June

August

Twice a year

2. Data on pulp and paper and from sources other than state forest departments

1 May August Once a year

3. Data on NWFP 1 April August Once a year

4. Data on import and export

12 May April Once a month

5. Other data for Forestry Statistics India

1

2

May

October

July

November (To ensure complete data by November end and publication of FSI of the year by December 31st

Twice a year

6. Data scrutiny, validation and formatting

1

2

June

November

August

December

Twice a year

E. Training and Capacity Building of Field Staff of ICFRE

The project envisaged building the human capacity of the field level staff and also impart training to trainers to sustain the efforts of creating a national forestry sector databank. The capacity building under this project was primarily meant for the Nodal Officers (Statistics) of ICFRE institutes. Capacity building programmes were held at the following five locations:

1. Arid Forest Research Institute, Jodhpur

2. Institute of Forest P:roductivity, Ranchi

3. Tropical Forest Research Institute, Jabalpur

4. Institute of Forest Genetics and Tree Breeding, Coimbatore

5. Indian Council of Forestry Research and Education, Dehradun

During the capacity building programmes, Nodal Officers (Statistics) were sensitized about the new formats and questionnaires developed for data collection and also the manual design which incorporates the guidelines for data collection. A soft copy of the formats and manual design was also handed over to them. The formats have been implemented and the latest issue of Forestry Statistics India of 2009 will be created using these new formats. The working manual is given as annexure – I of this document

F. Statistical Laboratory at DoS, ICFRE and Statistical Cells at ICFRE Institutes

Capacity for statistical estimation and other technical work is an important component of any laboratory. Under the project ICFRE has established a Statistical Laboratory at ICFRE Headquarters with related infrastructure like basic laboratory infrastructure, hardware and software. The leading software, STATISTICA has been implemented and used with quite efficiency during the period. Three personal computers and a laptop computer were also procured and utilized.

The institutes of ICFRE were also required to nominate Nodal Officers (Statistics) which has been done. Statistical Cells have been established at each institute but the issue of strengthening them still needs to be addressed on a larger scale.

G. Segregated Parameters for optimizing the output of a National Forestry Databank

Seeing the delay in collecting the data from the various sources and the quantum of non-response, the variables on which data is to be collected, have been divided into three categories, based on their importance in understanding the role of forestry sector in the national economy. The criteria followed and the categories into which classification is recommended are given below:


In this category, those variables and sub-variables should be included data on which is must from economic point of view, i.e., should be contributing share of forestry sector in the country’s GDP. The data on these parameters are must and all efforts should be made to collect and collate them from the possible sources given in chapter 5. This category will include the following variables and sub-variables:

1. Products

Main variable: Charcoal Chips and particle Wood Residues

Main variable: Wood based panels Veneer sheets (species) Plywood (species) Particle Board (species) Fireboard (species) Hardboard (species) MDF (species) Insulating Board (species)

Main variable: Pulp wood Coniferous Non-coniferous

Main variable: Other pulp

Sub-variable: Pulp from fibres other than wood Recovered pulp

Main variable: Recovered paper

Main variable: paper and paper Board

2. Wood Removals

Main variable: Fuel Wood (Including wood for charcoal)

Industrial round wood (wood in rough)

Sawlogs and veneer logs:

Pulpwood (round and split)

Other industrial round wood

3. NWFP

Main variable: Sal Seeds Tendu/Beedi leaves Gums, Resins Canes and rattans Bamboos Other NWFPS

4. Trade Secondary Main variable Secondary wood products Further processed sawn wood Wooden wrapping and packing material Wood products for domestic use Other manufactured wood products Builder's joinery and carpentry Wooden furniture Prefabricated buildings of which made of wood

Secondary paper products Composite paper and paper board Special coated paper Carbon paper and copying paper Household and sanitary paper Packaging cartons

Level 2: Necessary

In this category, those variables and sub-variables should be included data on which is necessary for planning and management of forestry programmes in the states and at country level. Inclusion of these parameters in the databank will enhance the quality of the databank and will provide ancillary information necessary for policy analysis and research. This will include the following sub-variables:

1. Resource

Main variable: Area by ownership

Main variable: Coniferous

Sub-variable: Species 1, 2, 3

Main variable: Non-coniferous

Sub-variable: Species 1, 2, 3

2. Establishment

Main variable: Revenue and expenditure

Main variable: Organization, Circles

Main variable: Territorial – Circles, Div., Ranges Functional - Circles, Div., Ranges

Main variable: Forestry Research Institutions

Sub-variable: No. of Scientific Assistant No. of projects Expenditure on research

Main variable: No. of Training Schools and Number of trainees

(Range Officers, Foresters, Forest Guards)

Main variable: Forest staff (states)

Main variable: Wildlife

Sub-variables: Wildlife sanctuaries National Parks Zoos Funds under tiger project Funds under project elephant Funds under Eco-development projects

3. Socio-Economic

Main variable: Geographical area and population

Main variable: Central sponsored scheme for afforestation

Sub-variable: Physical, Financial

Main variable: Joint Forest Management

Sub-variable: No. of projects No. of committees

Area involved

Main variable: Offences

Sub-variable: Indian Forest Act 1927 Wildlife Act 1972 Other state forest acts

Main variable: Plan outlay (Annual plan-Forest and Wildlife)

(Annual plan-Ecology and Environment)

Main variable: Forest villages

Sub-variable: No. of villages, Total population

Main variable: Employment generation

Main variable: Activity-wise no. of mandays generated

Sub-variable: Road laying Construction Felling Clearing Fire fighting

NWFP collection Planting operations Others

Main variable: Agro- forestry

Sub-variable: Models Area under agro-forestry crop

4. Silviculture

Main variable: Seed production area

Sub-variable: No. of locations and area Quantity of seed produced (x) Quantity of seeds supplied (Y)

To where?

Main variable: Vegetative multiplication gardens

Sub-variable: No. of locations and area Quantity of seed produced (x) Quantity of seeds supplied (Y) To where?

Main variable: CSO (Clonal Seed Orchard) Sub-variable:

No. of locations and area Quantity of seed produced (x) Quantity of seeds supplied (Y) To where?

Main variable: SSO (Seedling seed orchard) Sub-variable:

No. of locations and area Quantity of seed produced (x) Quantity of seeds supplied (Y To where?

Main variable: Nurseries

Sub-variable: No. of locations and area Quantity of seed produced (x) Quantity of seeds supplied (Y) To where?

Level 3: Desirable

In this category, those variables and sub-variables should be included data on which is desirable for further refinement of information. The parameters included here are either segregated from the main variables or are entirely new and are important to correlate the policy with decisions and after effects. This will include the following sub-variables:

1. Products

Main variable: Pulp wood

Sub-variables: Mechanical Semi-chemical Chemical Sulphate unbleached Sulphate Bleached Sulphite Unbleached Sulphite Bleached Dissolving Grades

Main variable: Other pulp

Sub-variable: Pulp from fibres other than wood

Main variable: paper and paper Board

Sub-variable: Graphic paper Newsprint Uncoated mechanical Uncoated wood free Coated papers Sanitary and household papers

Packaging material Case material Carton Board Wrapping paper Other papers mainly for packaging Other papers and paper board NES

2. Wood Removals

Main variable: Sawlogs and veneer logs:

Sub-variables: Species

Pulpwood (round and split)


Other industrial round wood


3. Resource

Main variable: Area under encroachment

Main variable: Compensatory afforestation:

Main variable: Wastelands

Sub-variables: State-wise Category-wise State & category- wise

Main variable: Forest fires

Main variable: Grazing land


Tiger population

Tiger reserves

Bio-sphere reserves Main variable: Eco-tourism No. of sites Tourists’ inflow Revenue collected Average monthly rainfall Average monthly temperature Average monthly humidity Pollutants

Main variable: Climate Change issues

Sub-variable: State specific carbon tables -do-

H. Parameter-wise status of the National Forestry Sector Databank

An indepth study of the parameters and related data availability was also conducted. Availability of historical data was carefully scrutinized and recorded. The results are as follows:

Non-availability of data on main variables and sub-variables on the formats suggested by International Consultant for the year 2003-2004

Group States not reporting (2003-04)

1. Resource

Main variable: Area by ownership Bihar, Chattisgarh, Delhi, Kerala

Lakshadweep Manipur, Meghalaya, Pondicherry, Tamil Nadu

Sub-variable: Community Not given separately by any state

Main variable: Coniferous Bihar, Chandigarh, Delhi, Kerala, Lakshadweep, Manipur, Pondicherry, Tamil Nadu

Sub-variable: Species 1,2,3 -do-

Main variable: Non-coniferous -do-

Sub-variable: Species 1,2,3 -do-

Main variable: Area under encroachment Bihar, Chandigarh, Delhi, Jharkhand, Kerala, Lakshadweep, Manipur, Nagaland, Pondicherry, Tamil Nadu

Main variable: Compensatory afforestation: Bihar, Chattisgarh, Daman & Diu, Delhi, Haryana, Jharkhand, Kerala, Lakshadweep, Madhya Pradesh, Manipur, Nagaland, Pondicherry, Punjab, Tamil Nadu,

Main variable: Wastelands No information given by any of the states

Sub-variables: State-wise -do-

Category-wise -do-

State & category- wise -do-

Main variable: Forest fires Bihar, Chattisgarh, Daman & Diu, Delhi, Haryana, Jharkhand, Kerala, Lakshadweep, Manipur, Nagaland, Pondicherry, Tamil Nadu,

Main variable: Grazing land No information given by any of the states

2. Establishment

Main variable: Revenue and expenditure Bihar, Chattisgarh, Daman & Diu, Delhi, Jharkhand, Kerala, Lakshadweep, Manipur, Nagaland, Pondicherry

Main variable: Organization No information given by any of the state

Circles

Main variable: Territorial – Circles, Div., Ranges Bihar, Chattisgarh, Daman & Diu, Delhi, Haryana, Kerala, Lakshadweep, Manipur, Pondicherry, Punjab and Tamil Nadu

Functional - Circles, Div., Ranges -do-

Main variable: Forestry Research Institutions Bihar, Chandigarh, Chattisgarh, Daman & Diu, Delhi, Haryana, Kerala, Lakshadweep

Manipur, Pondicherry, Punjab, Tamil Nadu

Sub-variable: No. of Scientific Assistant No information given by any of the states

No. of projects -do-

Expenditure on research -do-

Main variable: No. of Training Schools (Range Officers) Bihar, Chattisgarh, Daman & Diu, Delhi,

Foresters, Forest Guards) and Number of trainees Haryana, Kerala, Lakshadweep, Manipur, Pondicherry, and Tamil

Main variable: Forest staff (states) Bihar, Chattisgarh, Daman & Diu, Delhi, Haryana, Kerala, Lakshadweep, Manipur, Pondicherry, Punjab and Tamil Nadu

Sub-variable: Vets No information given by any of the states

Main variable: Staff (MOEF) No information reported

DGF, Addl. DGF, IG, DIG, AIG, Directors, Regional CCF

3. Products

Main variable: Charcoal Bihar, Chattisgarh, Daman & Diu, Delhi, Haryana, Jharkhand, Kerala, Lakshadweep, Manipur, Nagaland, Pondicherry, Tamil Nadu

States given information – Goa, Himachal Pradesh, Orissa, Sikkim, Uttarakhand

Rest of the states reported ‘0’ information

Chips and particle Bihar, Chattisgarh, Daman & Diu, Delhi, Haryana, Jharkhand, Kerala, Lakshadweep, Manipur, Nagaland, Pondicherry, Tamil Nadu


Wood Residues -do-

Main variable: Wood based panels No information reported by any state

Veneer sheets (species)

Plywood (species)

Particle Board (species)

Fireboard (species)

Hardboard (species)

MDF (species)

Insulating Board (species)

Main variable: Pulp wood Bihar, Chattisgarh, Daman & Diu, Delhi, Haryana, Jharkhand, Kerala, Lakshadweep, Manipur, Nagaland, Pondicherry, Tamil Nadu

States given informat ion

Coniferous Himachal Pradesh, Karnataka, West Bengal


Non-coniferous Andhra Pradesh, Uttarakhand, West Bengal


Sub-variables: Mechanical No information reported by any state

Semi-chemical

Chemical

Sulphate unbleached

Sulphate Bleached

Sulphite Unbleached

Sulphite Bleached

Dissolving Grades

Main variable: Other pulp No information reported by any state

Sub-variable: Pulp from fibers other than wood No information reported by any state

Recovered pulp No information reported by any state

Main variable: Recovered paper No information reported by any state

Main variable: paper and paper Board Information available only for newsprint and no other sub-variable

Sub-variable: Graphic paper

Newsprint

Uncoated mechanical

Uncoated wood free

Coated papers

Sanitary and household papers

Packaging material

Case material

Carton Board

Wrapping paper

Other papers mainly for packaging

Other papers and paper board NES

Main variable: Forest Based Industries No information reported for main and sub-variable

Paper Industry

Sub-variable: Installed capacity

Production

Estimated Demand

Import

Export

Main variable: Wood Based Factories Information available at National Level (CSO)

4. Wood Removals

Main variable:

Fuel Wood (Including wood for charcoal) Bihar, Chattisgarh, Daman & Diu, Delhi, Haryana, Jharkhand, Kerala, Lakshadweep, Manipur, Nagaland, Pondicherry, Punjab and Tamil Nadu

Industrial round wood (wood in rough)

Sawlogs and veneer logs: Bihar, Chattisgarh, Daman & Diu, Delhi, Haryana, Jharkhand, Kerala, Lakshadweep, Manipur, Nagaland, Pondicherry, Punjab and Tamil Nadu

Sub-variables: Species 1,2,3,4,5,6 No information reported by any state

Pulpwood (round and split) Bihar, Chattisgarh, Daman & Diu, Delhi, Haryana, Jharkhand, Kerala, Lakshadweep, Manipur, Nagaland, Pondicherry, Punjab and Tamil Nadu


Other industrial round wood Bihar, Chattisgarh, Daman & Diu, Delhi, Haryana, Jharkhand, Kerala, Lakshadweep, Manipur, Nagaland, Pondicherry, Punjab and Tamil Nadu


5. NWFP

Sal Seeds Andhra Pradesh, Arunachal Pradesh, Assam, Bihar, Chattisgarh, Daman & Diu, Delhi, Haryana, Jharkhand, Kerala, Lakshadweep, Manipur, Nagaland, Pondicherry, Punjab and Tamil Nadu

Tendu/Beedi leaves Bihar, Chattisgarh, Daman & Diu, Delhi, Haryana, Jharkhand, Kerala,

Lakshadweep, Manipur, Nagaland, Pondicherry, Punjab and Tamil Nadu

Gums, Resins Bihar, Chattisgarh, Daman & Diu, Delhi, Haryana, Jharkhand, Kerala, Lakshadweep, Manipur, Nagaland, Pondicherry, Punjab, and Tamil Nadu

Canes and rattans Bihar, Chattisgarh, Daman & Diu, Delhi, Kerala, Lakshadweep, Manipur, Nagaland, Pondicherry, Tamil Nadu

Bamboos Bihar, Chattisgarh, Daman & Diu, Delhi, Kerala, Lakshadweep, Manipur, Nagaland, Pondicherry, Tamil Nadu

Other NWFPS Bihar, Chattisgarh, Daman & Diu, Delhi, Haryana, Kerala, Manipur, Nagaland, Pondicherry, Tamil Nadu

No details by species available

Medicinal Plants No information reported by any state

6. Services


Sub-variables: Wildlife sanctuaries All states send this information

National Parks -do-

Zoos -do

Funds under tiger project -do-

Funds under project elephant -do-

Funds under Eco-development projects -do-

Tiger population No statistics given by any state

Tiger reserves -do-

Bio-sphere reserves -do-

Main variable: Eco-tourism No information reported

No. of sites

Tourists’ inflow

Revenue collected

Average monthly rainfall

Average monthly temperature

Average monthly humidity

Pollutants

Main variable: CC issues No information reported

Sub-variable: State specific carbon tables -do-

7. Socio-Economic

Main variable: Geographical area and population Information not reported by states but it is available from Census reports

Main variable: Central sponsored scheme for afforestation Bihar, Chandigarh, Chattisgarh, Daman & Diu,

Sub-variable: Physical, Financial Delhi, Haryana, Kerala, Manipur, Nagaland, Pondicherry, Lakshadweep, Tamil Nadu

Main variable: Joint Forest Management Bihar, Chandigarh, Chattisgarh, Daman & Diu,

Sub-variable: No. of projects Delhi, Haryana, Kerala, Manipur, Nagaland, Pondicherry, Lakshadweep, Tamil Nadu

No. of committees -do-

Area involved -do-

Main variable: Offences

Sub-variable: Indian Forest Act 1927 No information given for sub-variables:

Wildlife Act 1972

Other state forest acts Bihar, Chattisgarh, Daman & Diu, Delhi, Jharkhand, Kerala, Manipur, Nagaland, Pondicherry, Lakshadweep, Tamil Nadu

Main variable: Plan outlay No statistics reported by any state

(Annual plan-Forest and Wildlife)

(Annual plan-Ecology and Environment)

Main variable: Forest villages

Sub-variable: No. of villages, Total population No statistics reported by any state

Main variable: Employment generation No information reported by any state

Main variable: Activity-wise no. of mandays generated -do- Sub-variable: Road laying Construction Felling Clearing Fire fighting NWFP collection

Planting operations Others

Main variable: Agro- forestry No information reported

Sub-variable: Models

Area under agro-forestry crop

8. Trade Primary No statistics reported in FSI or received from states

Main variable: Roundwood Sub-variable: Woodfuel including wood for charcoal Sub-variable: Industrial roundwood (wood in rough)

Main variable: Wood charcoal Main variable: Wood chips and particles Main variable: Wood residues Main variable: Sawnwood Sub-variable: Species Main variable: Wood based panels Veneer sheets Sub-variable: Species Plywood Sub-variable: Species Particle board, OSB, others Sub-variable: Species Main variable: Fibre board Hardboard MDF Other Main variable: Wood pulp Mechanical Semi-chemical Chemical Sub-variable: Sulphate Unbleached Sulphate bleached Sulphite Unbleached Sulphite bleached

Main variable: Dissolving grades

Main variable: Other pulp Sub-variable: Pulp from fibres from other than wood Recovered fibre pulp

Main variable: Recovered paper Main variable: Paper and Paper board Main variable: Graphic paper Sub-variable: Newsprint Uncoated mechanical Uncoated wood free Coated papers

Main variable: Sanitary and Household Papers Main variable: Packaging materials Sub-variable: Case materials Carton board Wrapping papers Other papers for packaging

Main variable: Other paper and paper board NES

9. Trade Secondary No statistics reported in FSI or received from states Main variable Secondary wood products Further processed sawn wood Sub-variable Species 1 Species 2 Species 3 Species 4

Wooden wrapping and packing material Wood products for domestic use Other manufactured wood products Builder's joinery and carpentary Wooden furniture Prefabricated buildings of which made of wood Secondary paper products

Composite paper and paper board Special coated paper Carbon paper and copying paper Household and sanitary paper Packaging cartons Other articles Printing and writing Modules/pressed from pulp Filter paper and paperboard, ready for use Printed articles Books Newspapers Other printed products

10. Silviculture

Main variable: Seed production area Information not supplied by following states

Sub-variable:

No. of locations and area Bihar, Chandigarh, Chattisgarh, Daman & Diu, Delhi, Haryana, Jharkhand, Kerala, Manipur, Nagaland, Pondicherry, Lakshadweep, Punjab, Tamil Nadu

Quantity of seed produced (x) Information not given by any state

Quantity of seeds supplied (Y) -do-

To where? -do-

Main variable: Vegitative multiplication gardens

Sub-variable:

No. of locations and area Bihar, Chandigarh, Chattisgarh, Daman & Diu, Delhi, Haryana, Jharkhand, Kerala, Manipur, Nagaland, Pondicherry, Lakshadweep, Punjab, Tamil Nadu



To where? -do-

Main variable: CSO (Clonal Seed Orchard)

Sub-variable:

No. of locations and area Only Orissa has supplied this information



To where? -do-

Main variable: SSO(Seedling seed orchard)

Sub-variable: No. of locations and area -do-

Quantity of seed produced (x) -do- Quantity of seeds supplied (Y) -do-

To where? -do-

Main variable: Nurseries Information not given by any states

Sub-variable: No. of locations and area -do-

Quantity of seed produced (x) -do- Quantity of seeds supplied (Y) -do-

To where? -do-

Synthesis of the Analysis

(a) Specific Objective(s) Achievement Realised

(b) Outputs Realised

(c) Schedule Delayed, not seriously

(d) Actual Expenditure Below Planned

(e) Potential for replication Significant potential

(f) Potential for scaling up Significant potential

PART III: Conclusions and Recommendations

a) Development lessons

• Timely submission of statistics is important to take policy decisions. The project has addressed the question of requirements. A technology-enabled National Forest Database Management System is required to reduce the time lag of data submission and subsequent dissemination.

• A harmonized system of units of observations and measurements is the need of the day to make the databank uniform. The issue can be addressed by constructing region-specific conversion factors instead of national conversion factors. The reporting systems followed in the states have been standardized over a long period of time and disturbing them can lead to serious consequences. However, a system of having ready conversion factors for harmonizing the units and building this system implicitly in the NFDMS can solve the problem completely without jeopardizing the reporting systems of the states.

• The nature of forestry statistics is undergoing changes with time. The nature of NFDMS should be such that constant updation is possible. The system has to be in place where enough expertise is available to bring about important changes with time in a quick and effective manner.

b) Operational Lessons

• The cycle of data collection can not be reduced to monthly or quarterly. The data collection pertains to the financial year (1st of April of the current year to 31st of March of the subsequent year) and coinciding it with calendar year is difficult unless a system of filing at least quarterly data returns is in place.

• A systematic segregation of parameters is important to regulate the response and decrease the non-response. The exercise has been conducted and a three – tier system has been evolved to ensure the timely dissemination of information. The parameters which are reported upon can be divided into three broad categories:


Unavoidable/must (those variables and sub-variables should be included data on which is must from economic point of view, i.e., should be contributing share of forestry sector in the country’s GDP. The data on these parameters are must and all efforts should be made to collect and collate them from the possible sources

Level 2: Necessary

In this category, those variables and sub-variables should be included data on which is necessary for planning and management of forestry programmes in the states and at country level. Inclusion of these parameters in the databank will enhance the quality of the databank and will provide ancillary information necessary for policy analysis and research.

Level 3: Desirable

In this category, those variables and sub-variables should be included data on which is desirable for further refinement of information. The parameters included here are either segregated from the main variables or are entirely new and are important to correlate the policy with decisions and after-effects.

Production and Removals

Although removals can be determined directly, production figures have to be estimated through sample surveys. Production of Pulp, Charcoal, Packing material, etc. has to be estimated through properly laid out and executed sample surveys. The sampling strategy to be standardized and the technique included in the working manual. Permanent sample points in paper and pulp industry to be established to generate a time-series for future estimation.

Trade

Data on trade (import and export) is directly available with Customs, however, mapping is essential to tag the database provided to the database being created in the project. ITC HS Code can provide the primary key to such mapping.

c) Recommendat ions for future projects

• The future projects should focus on information generation as the basis has been prepared by this project. Incorporating the field work to the extent of data collection and dissemination in such projects will be advantageous.

• The projects should be designed as thematic programmes spread over a period of more than three years and up to seven years. This will give enough time for the processes to be identified, constructed, fine-tuned and systematically ingrained into the working processes of the stakeholders, especially the state forest departments, the main stakeholders on forestry statistics

• The future projects should have the project team from all the stakeholders to bring about a sense of responsibility in data management. The present project has set forth the study on the coarse aspects of forestry statistics. This is required to be followed by fine-tuning the processes and making a model process of data management. This can be done on a pilot basis in three departments, stratified according to the response to data call from ICFRE.

• The project has utilised less funds than allotted. The remaining balance can be used to conduct a sample survey of pulp, paper and hardbard (including veneer) industry of India to create baselines and also to establish permanent sample points in the industry for future data requirements.

• A log-term capacity building project that incorporates the technical development of the National Forest Database Management System needs to be taken up for completing the tasks that will automate the NFDMS and hence vastly improve the data management capacity of India. Such a project can be considered for funding by ITTO as a follow-up project to this project.

Responsible for the Report

Name: Raman Nautiyal Position held: Scientist – D, Division of Statistics, Directorate of Extension, ICFRE, Dehradun Date: 26th October 2009

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