PART IV: ANALYZING AND COMMUNICATING LEARNING EFFECTIVELY

Many planners and administrators would agree that research findings often fail to affect planning and decision-making. If research is to lead to improved forest management, field learning must be captured and utilized by policy-makers, forest officers, and community members. This will occur only if information is conveyed in a relevant form to the right people at the right time. Researchers and users should consciously attempt to achieve these goals. The following suggestions for research analysis, communication and dissemination are based on prior experience from a number of countries in South and Southeast Asia. Meetings between researchers and information users permit studies and findings to be fine-tuned to respond to programmatic needs. When applied to forest management conflicts, this process can also facilitate communication flows between rural communities, NGOs and forestry agencies, informing all parties and providing a mechanism for developing collaborative management agreements.

 

Analyzing and Interpreting Research Findings for Program Development

Volume I describes four short diagnostic appraisals that can be conducted to provide an understanding of community-forest interaction patterns and utilization practices. The community profile gives an overview of the forest management context in space and time, and is designed to convey the knowledge, attitudes and perceived needs of forest communities regarding their ecosystem. The vegetative assessment provides researchers with information regarding species composition, structure, productivity of the forest ecosystem and changes over time. The institutional analysis illuminates the organizational setting within the community and Forest Department, indicating leadership patterns, conflicts, program incentives and disincentives, organizational needs and opportunities. The forest production system assessment generates economic information concerning the benefits and costs of current and proposed management systems.

The integration and interpretation of this information is the most difficult 'and important aspect of the research process. As an interdisciplinary study, information from the natural and social sciences must be synthesized and assessed to suggest improved options for forest management. The analysis and the programmatic recommendations that flow from the studies must be sensitive to the socio-political environments within which communities and FDs operate. To ensure that the final analysis is grounded in this reality, it is imperative that community members and FD staff participate in the process of follow-up discussions, data interpretation and the formulation of recommendations.

Preliminary Analysis

Some preliminary analysis of the research findings should be carried out by the team while still in the field. Additional time should be provided to allow the team at least 4 to 7 days together after each phase of data collection to conduct a preliminary analysis of the information. This initial analysis will serve two purposes. First, the process can identify information and resource people who can further guide subsequent phases of the diagnostic research. Second, preliminary analysis will highlight management issues as they emerge.

It is helpful if preliminary reports begin by describing the objectives of the study and provide a one or two page Executive Summary which lists the key issues and findings. The report should also indicate the research team members, dates, places of information collection, and names of respondents and discussants. Wherever possible, findings should be presented in visual forms such as tables, figures, maps, diagrams, and flow charts to facilitate interpretation. After presenting a summary and reviewing the information collected, the report should expand on each key management issue, providing background on the origin of the problem. This should be followed by a list of recommended follow-up actions. For each phase or component of research, the preliminary report should be discussed with community members and FD staff during follow-up meetings to check their accuracy and discuss their management implications. Comments and suggestions from these meetings should be recorded and used to supplement the report and improve research planning and activities. Village meetings can be conducted in the evening to enable more people to attend, and meetings with foresters can be organized at the Divisional, Circle and State levels. Ideally, structured Working Groups (WGs) will have been formed to review the findings.

By synthesizing learning from the preliminary analysis reports, the team can cross-check information and identify inconsistencies. During the sequential phases of research, information from one study can guide subsequent diagnostic activities (See Figure 40). For example, the community profile which indicates use patterns in time and space can inform data on the economics of production systems, while vegetative data on the per hectare species density can be used to better calculate productivity levels and compare them to harvest levels.

Figure 40: Flow Chart of Diagnostic Research Activities, Analysis
and Decision-Making

Integrated Analysis

Once all four companion studies have been completed, the research team will need to meet for an extended period of time to integrate the findings and formulate management recommendations. As was discussed in the beginning of this manual, forest management problems almost always include ecological, socio-institutional, and economic dimensions. This is true whether considering grazing, fuelwood collection, timber extraction, leaf gathering, or bamboo harvesting systems. For example, women who work as commercial fuelwood headloaders do so based on a strong economic dependency; their activities have significant ecological consequences, and viable solutions will involve strategies that require programs, leaders and organizations that can facilitate more sustainable economic activities. The methods decried in this manual aim to generate the types of information that can suggest ways to balance the economic needs of the community in an ecologically sound manner through local institutions. Integration of the respective analyses can begin to answer questions regarding the economic profitability, equity, and sustainability of existing practices. Finally, current management systems can then be compared with alternative use systems. Based on this process, discussions with community groups and FD field staff can initiate the development of microplans.

A number of diagnostic case studies of this type would allow the research team to begin discussing major management issues across different community-forest-contexts and how policies and procedures might be modified to respond to this learning. Once the integrated report has been drafted and reviewed, a meeting of the Circle and State Working Groups should be called to present the findings and discuss its implications. Based on the recommendations of the Working Group, the FD and other participating government agencies, policy-making bodies and donor groups could consider appropriate actions.

A broad range of applied research questions relevant to JFM systems await investigation. At the national and state level, research is needed to guide the evolution of more supportive legislation, policies and regulations which facilitate the development of participatory resource management. At the field level, JFM studies are needed that can shape the design of joint management agreements, micro-management plans, ecologically sound strategies to enhance natural regeneration and forest productivity, local institution-building, improved processing and marketing extension activities, and community and staff training courses.

 

Communicating Learning Effectively: The Working Group

A preliminary step in developing a research program is the identification of the ultimate users of the new learning. By involving potential users from the outset in the design of the study, the likelihood that the findings will inform decision-making and planning is enhanced. The creation of a Working Group to guide research provides an institutional mechanism for study group interaction. In India, formal Working Groups have been based in the FD and chaired by the Principle Chief Conservator of Forests (PCCF). The PCCF is generally joined by other senior FD officers, including the territorial Conservator in whose area the studies are being conducted, as well as participating researchers and local government and non-governmental organizations who are working with communities.

Initially, while the formation of a Working Group (WG) before initiating diagnostic research may be preferable, in some cases this step may be organizationally infeasible or politically premature. In these areas, the launching of rapid appraisals need not necessarily be delayed, but can be started by a more informal group of like-minded individuals such as an NGO, a small team of resource specialists, or even a motivated FD officer. Preliminary experience is now indicating that findings generated through initial PRA-type studies can pique the excitement of other professionals to participate and lead to the gradual evolution of a more formally structured WG mechanism.

Where the WG has already been established, it should try to meet at least once or twice before the study is initiated to clarify broad objectives of the research, including important management problems and issues. By holding periodic meetings of the WG, the FD and other participating organizations can contribute their input into the research design and implementation phases. Furthermore, their interest in the outcomes will be strengthened. Before each WG meeting, the research team leaders and FD counterparts should develop an agenda for discussion, listing key issues with recommended options or suggested approaches.

A decision should be made in advance to identify a facilitator to present the agenda and steer the discussion, and to select a secretary to carefully record the minutes. The agenda should be kept short enough to be completed during the normal meeting period of the WG, generally not to exceed two hours. If not already determined, a date, place, and time for the WG meeting should be set and sent along with the draft agenda at least two weeks in advance. If necessary, selected members can be briefed about key agenda items prior to the meeting. During the early stages of the research, agendas should highlight ideas regarding management issues, study design, and possible sites. In subsequent meetings, preliminary findings should be itemized, noting future research needs and adjusting the workplan accordingly. As follow-up to each meeting, minutes regarding decisions should be written and distributed. At the end of the research project, findings regarding forest management issues and options, which have already been thoroughly discussed with communities and FD field staff, can be reviewed in the WG and followed by presentation of a draft microplan (see Figure 41).

Figure 41: Steps in Working Group Learning Process

In terms of effective and practical operation, it is essential to follow the agenda closely during the WG meetings. Senior forest officers are usually busy, and it is important to complete the agenda before they are forced to move on to other business. It is helpful to begin the session by reviewing the minutes of the previous meeting, and then to move on to discussions of ongoing research activities and plans. Only one issue should be raised at a time, allowing members sufficient time to discuss the topic. Before proceeding to the next item, decisions requiring further action, the form that action will take, and the individual responsible need to be identified. At the close, of the meeting, all decisions can be reviewed to ensure that the chairman and group members are in agreement and that responsibilities for follow-up are clearly understood. Before adjourning, it may be useful to set a date for the next meeting, typically 4-6 weeks later.

As soon after the meeting as possible, it is important to write up the minutes. They should be short and concise, following the meeting agenda and itemizing key points. Actions to be taken should be highlighted, identifying responsible individuals and detailing the proposed schedule for implementation. The draft minutes should be reviewed for approval with the senior FD officer under whose name they will be sent. Distribution of the minutes no later than a week after the meeting is advisable. Meanwhile, the core research planning group should periodically meet to discuss progress in implementing the actions decided upon. These may include the issuance of new JFM agreements and microplans, extension activities, training programs, procedure modifications, research projects, or even drafting policy amendments.

In addition to the agenda, it is also important for the research support team to utilize maps, charts, diagrams, and other visuals (many of which have been drafted with communities in the field) in order to present their ideas and discoveries to the WG. Graphics can help those not directly involved with the research to better grasp the information, as well as provide a framework for analysis and assessment of programmatic implications. As described in the manual, visuals might include historical transacts or profiles of the forest study area to depict how the landscape has changed, and trend lines indicating fluctuating product availability or biomass levels. Research teams can also develop forest use calendars (on a seasonal, annual, and multi-year basis), activity sequence diagrams for selected non-wood forest products, and labor calendars. To illustrate spatial patterns, village and forest maps are most relevant. Data on the volume and values of forest products might be presented both in line graphs and histograms. As part of the ongoing synthesis and analysis, such diagrams should be prepared in the field as an integral component of the fieldwork. This will also allow the researchers to identify gaps in the data which require follow-up.

 

Summary

The Joint Forest Management Field Methods Manual Series describe a number of strategies to help understand how community and Forest Department partnerships might result in better management of natural forests. A preliminary effort has been made to document existing experiences with participatory rapid appraisals that can provide insights into the processes of community empowerment and transformation of the FD bureaucracy. Such fundamental changes aspire to create new human relationships. By fundamentally redefining power structures, these new relationships can lead to a more equitable, locally-responsive, and sustainable forest management system.

While early field experiences continue to confirm the value of the rapid diagnostic research approaches reviewed in the manual, this by no means negates the need for parallel research of a more conventional and longer-term nature. Ideally, rapid appraisals should be designed as one component to a larger research strategy which encompasses longitudinal studies on ecological sustainability, community-agency institutional stability, and the economics of dynamic forest production systems within the broader socio-political context. Nonetheless, the urgent and very practical need to address forest management problems in most of the developing world has thrown the historic role of traditional research into question. While its value is still acknowledged, the call for immediate and more successful responses to community resource pressures and severe ecological degradation has led to the development and practice of new rapid diagnostic methods based on community participation. Only through further field testing in a range of different situations will researchers, rural people, foresters, and NGOs learn how to more efficiently and effectively understand the complexities of resource management problems and their potential resolution. It is the editors hope that those who employ and test these methods will record their experiences and share them widely with others. In this way, research strategies will become more effective in facilitating the development of truly participatory systems of forest resource management.

 

APPENDIX 1

Checklist of Indicators for Joint Forest Management

Score Sheet

Condition

0

1

2

3

Vegetative Characteristics:

Species Composition:
% Coppicing
% Cover with good grass stock


0-25
0-25


25-50
25-50


50-75
50-75


75-100
75-100

Stocking Level:
(Number of stools/ha)
Quality of Coppice Growth


0-250
Poor


250-500
Moderate


500-1000
Healthy


1000-2000
Vigorous

Disturbance Conditions:
Fire
Grazing
Lopping-Fuelwood Cutting


Annual
Heavy
Heavy


Sometimes
Moderate
Moderate


Seldom
Light
Light


Never
None
None

Social Characteristics

Community Forest Management Group

None

Inactive

Active

Strong

Community Homogeneity

Low

Moderate

High (Caste)

High (Tribal)

Leadership

Poor

Some

Good

Excellent

Access Rules and Regulations

None

Some

Good

Excellent

Environmental Concern

None

Some

Good

High

Social/Religious Importance of Forest

None

Some

Moderate

High

Perceived Resource Scarcity

None

Some

Moderate

High

 

APPENDIX 2

Glossary of Vegetative Terms

Name of tree: In the field, local names should be recorded. The local community informant and/or beat officer are important resource people to assist in species identification. After reaching the office, the scientific name should be identified by a local botanist, or by using a species book with local names if possible.

GBH: Girth or circumference at Breast Height is established as one of the best indicators of the size, volume or weight of a tree. GBH for larger trees and DBH (diameter at breast height) for smaller trees should be measured at a height of 131 cms above ground, using a tape or slide calipers for smaller trees. Only measure trees of 30 cm GBH or more. Trees with a GBH below 30 cms would be considered seedlings, along with shrub vegetation. DBH/GBH measurement methods for various tree forms are illustrated in the attached diagram.

Multiple Shoots: If more than one coppice or shoot from a stump is observed, consider each shoot separately for recording GBH if estimating biomass. However, consider each stump with several shoots as one tree if estimating density or diversity.

Height: Like DBH, height can also be used as an indicator of the size or weight of a tree. It is difficult to measure the height of trees in a forest with overlapping crown covers, even using instruments. Thus, it may be adequate to use the following height classes:

A = 2.5 to 5m
B = 5 to 10m
C = 10 to 20m
D = 20 to 30m
E = more than 30m

After some trials, a field investigator would be able to reasonably estimate height by observing the tree from a fixed distance if the density of trees is very low. Height measurement instruments such as a range finder or altimeter can be used to improve accuracy.

Coppice or Seedling (origin of tree): In a forest regeneration study, the investigator is interested in estimating the rate or level of coppicing (eg. of Shore robusta if cut for firewood or timber. local people or a forester will be able to distinguish between a tree originating from a seedling or a coppice shoot. The extent of coppicing trees is an indicator of regenerating capacity of a forest.

Stumps or Root Stock: The presence and density of root stock or stumps of coppicing trees is an indicator of potential for natural regeneration. The number of stumps for each important species in the plot should be recorded according to their coppicing capacity.

Climber: The climber associated with the trees should be recorded. In many arm, they have immense value as food, fiber or medicine to local communities.

Shrubs and Regenerating Seedlings: The plant types of interest are shrubs and smaller tree seedlings or smaller coppice shoots. Tree seedlings include woody plants with less dm 30cm GB and a height above 1.4 m. The presence of a large number of tender coppice shoots is an indicator of future growth potential.

 

APPENDIX 3

Methods and Formulas for Financial Assessments

Present Value (PV):

The basic formula for converting the future value to the present value or discounting is as follows:

Pv = FVa [1/(1+i)n]

where

Pv = present value
FVa = future value in year 'n'
i = interest rate (expressed in decimal form).
n = number of years until future value occurs.
1/(1 +i)n= discounting multiplier.

To illustrate, for a discount rate (interest rate) of 8% (i), the present value of a Rs. 100 payment occurring 2 years from now:

PV = Rs 100 [1/(1+0.08)2] = Rs 100 x 1/(1.1664) = Rs (100) x (0.85) =Rs 85.73.

To make the calculation simple, the value for the multiplier [1/(1+i)n] for a range of interest rates and periods can be found in a standard ready reckoner Table.

Net Present Value (NPV):

NPV or Net Present Value is one of two widely used investment criteria. NPV is the present value of returns minus present value of costs.

n

NPV

= S [Rt-Ct] 1/(1.0+i)t

t=0

Rt = Revenue or returns in year 't'
Ct = Costs or expenditure in year 't'
i = interest rate
t = the year under consideration

The method involves the following steps :

i) select the year (t) or years (to to tn) when the expenditure and / or return occurs.

ii) estimate or obtain the returns value (R,) for year 't'

iii) estimate or obtain the expenditure or cost (Ct) for year 't'

iv) multiply the difference between returns (Rt) and cost (Ct) for year t with the present value multiplier 1/(1+i)n. (Obtain the value of the multiplier from ready reckoner Table)

v) calculate for all years (t=0 to tnn) and sum to obtain the NPV.

The investment is acceptable only if the NPV is positive. This shows that the investment is earning more than the alternative options, namely earning the interest 'i' selected for discounting.

Internal Rate of Return:

Another commonly used measure of project worth is the Internal Rate of Return (IRR). IRR is the discount rate at which the NPV is zero. The IRR is basically the break-even discount rate where PV benefits = PV costs.

= Sn Rt 1.0/(1.0+i)t

= Sn Ct 1.0/(1+i)t

t=0

t=0

The interest rate (i) at which the above equation holds is the IRR. IRR can be estimated through trial and error method. NPV is calculated for an interest rate estimated to be closest to the IRR, by taking a high interest rate and then reducing it until the NPV = 0.

Benefit: Cost ratio

Benefit: Cost ratio is the ratio of present value of total benefits over the present value of total costs. The ratio value indicates the amount of benefits that the project generates per rupee of investment in present value terms.

Benefit: Cost ratio = PV of total benefits/PV of total costs.

 

APPENDIX 4

Table A: Financial Analysis of Firewood Plantation Option

Year

Total cost

Total return

Net return

Present Value of Net
Return 12 %

Present Value of Total
Cost 12%

Present Value
of Total
Return 12 %

0

4232

0

-4232

-4232

4232

0

1

759

550

-209

-186.6

677.7

491.1

2

495

550

55

43.8

394.6

438.5

3

495

550

55

39.1

352.3

391.5

4

495

550

55

34.9

314.6

349.5

5

495

550

55

31.2

280.9

312.0

6

918

5000

4882

2473.4

465.1

2938.5

7

135

550

415

187.7

61.1

248.8

8

135

550

415

167.6

54.5

222.1

9

135

550

415

149.6

48.7

198.3

10

135

550

415

133.6

43.5

177.1

11

135

550

415

119.3

38.8

158.1

12

918

5000

4882

1253.1

235.6

1488.7

13

135

550

415

95.1

31.0

126.0

14

135

550

415

84.9

27.6

112.5

15

135

550

415

75.8

24.7

100.5

16

135

550

415

67.6

22.0

89.7

17

135

550

415

60.4

19.7

80.1

18

918

5000

4882

634.8

119.4

754.2

19

135

550

415

48.2

15.7

63.9

20

135

550

415

43.0

14.0

57.0

-4441

-4418.6

+19846

+5743.6

15405

1324.7

7473.3

8798.3

NPV (20 years) = 1324
PV of TC = 7473
PV of TR = 8798
Benefit: Cost ratio = 8798 / 7473 = 1.17

Indicates positive project investment

 

Table B: Financial Analysis of NTFP Forest Option

Year

Total cost

Total return

Net return

Present
Value of Net
Return 12 %

Present Value
of Total
Cost 12%

Present Value
of Total
Return 12 %

0

2557

0

-2557

-2557

2557

0

1

861

200

-661

-590.2

768.7

178.6

2

414

350

-64

-51.0

330.0

279.0

3

54

350

296

210.7

38.4

249.1

4

54

350

296

188.1

34.3

222.4

5

54

350

296

168.0

30.6

198.6

6

54

350

296

150.0

27.4

177.3

7

1472

4275

2803

1267.9

665.8

1933.8

8

954

4275

3321

1341.3

385.3

1726.6

9

954

4275

3321

1197.6

344.0

1541.6

10

954

4275

3321

1069.2

307.1

1376.4

11

954

4275

3321

954.7

274.2

1229.0

12

954

4275

3321

852.4

244.9

1097.2

13

954

4275

3321

761.1

218.6

979.7

14

1922

8200

6278

1284.6

393.3

1677.9

15

1404

8200

6796

1241.6

256.5

1498.1

16

1404

8200

6796

1108.6

229.0

1337.6

17

1404

8200

6796

989.8

204.5

1194.3

18

1404

8200

6796

883.7

182.6

1066.3

19

1404

8200

6796

789.1

163.0

952.1

20

1404

8200

6796

704.5

145.5

850.1

21

1922

8200

6278

581.9

177.9

759.0

-3282

-3198.2

+43783

+11795.8

40501

8597.6

7801.1

19765.8

NPV (21 years): = 8597
PV of TC: = 7801
PV of TR: = 19765
Benefit: Cost Ratio = 19765 / 7801 = 2.53

Indicates positive project investment

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