STUDY
Chapter 3.3 presents the Indian national forest inventory (NFI) as a case study 5066
3.4 DATA COLLECTION AT LOCAL / NATIONAL LEVEL
3.4.2 How communities can make their own forest inventories
Table 3.4.1: Tasks requiring input from intermediary 5439
5440
Task Who? Equipment Frequency Description and comments 1. Identify
forest inventory team
members (4 to 7)
Intermediary in
consultation with community leaders
At start Need to include people who are familiar with the forest and active in its management; at least some must be literature/numerate. Ideally the same people will do the forest inventory work each year so that skills are developed and not lost.
There is some danger of elite capture of the benefits, particularly if cash payments for carbon gains are to be made over to the community, attention must be given to this to ensure transparency within the community as a whole.
2.
Programming PDA with base map, database & C calculator
Intermediary PDA,
internet Once, at start of work
Any geo-referenced area map of suitable scale can scanned and entered into the PDA for use as the base map. Database format can be downloaded from website into PDA, as can the carbon calculator.
3. Map boundaries of community forest
Community, with
intermediary assistance
PDA with GIS and GPS
Once, at start of work
Boundaries of many community forests are known to local people but not recorded on formal maps or geo-referenced. PDAs with built-in or attached GPS can easily be operated by local people to track and mark these boundaries on the base map, enabling area for forest to be calculated.
4. Identify and map any important forest strata
Community with
intermediary assistance
PDA with GIS and GPS
Once, at start of work
Communities know their forests well. This step is best carried out by first discussing the nature of the forest and confirming what variations there may be within it (different species mix, different levels of degradation etc). Such zones can then be mapped by walking their boundaries with the GPS.
5. Pilot survey in each stratum to establish number of sample plots
Community with
intermediary assistance
Tree tapes and/or calipers
The pilot survey is done with around 15 plots in each stratum. Measuring the trees in these plots could form the training exercise in which the intermediary first introduces the community forest inventory team to measurement methods.
6. Setting out
permanent plots on map
Intermediary Base map,
calculator Once, at
start This requires statistical calculation of number of plots needed, based on the standard error found in the pilot measurements. A tailor made programme for this is downloadable from the website and can be operated on the PDA. Plots are distributed systematically and evenly on a transect framework with a random start point.
7. Locating and marking sampling plots in the forest
Community with
intermediary assistance
Map of plot locations, compass, GPS, tape measure, marking equipment
Once, at
start Community team stakes out the centres of the plots in the field by use of compass and measuring tape. GPS readings are recorded, and the centre of the plot is permanently marked (e.g. with paint on a ventral tree trunk). Each plot is given an identification code and details (identifying features) are entered into the PDA
8. Training community team how to measure trees in sample plots
Intermediary +/- 4 days first time;
1 day for each of the next 3 years
This task could be fulfilled first time while carrying out task 5, see notes. The task involves listing and giving identification codes to the tree species found in the forest. It is expected that the community will be able to function independently in this task after year 4.
9.
Identification of suitable allometric equations &
programming into the PDA
Intermediary Once, at
start The programme for the PDA contains default allometric equations. If local ones are available, these may be substituted, which will give greater accuracy.
10.
Downloading from the PDA of forest inventory data &
forwarding to registration
Intermediary The PDA is programmed to make all necessary calculations and produce an estimate of the mean of the carbon stock in each stratum, with confidence levels (the default precision is set at 10%). This data needs to be transferred to more secure databases for comparison year to year and for eventual registration.
11. Maintaining PDA
PDAs require re-charging on a daily basis and minor repairs from time to time. It is anticipated that an intermediary would have several PDAs and would lend these to communities for the forest inventory work (around 10 days per community per year).
5441
Table 3.4.2: Tasks that can be carried out by the community team unaided after 5442
training 5443
5444
Task Equipment Frequency Description and comments Measure dbh
(and height, if required by local allometric
equations) of all trees of given minimum
diameter in sample plots
Tree tapes or
callipers Periodically,
e.g. annually During the first year, fairly complete supervision by the intermediary is advisable, but in subsequent years a short refresher training will be sufficient, see above, task 8
Enter data into database (on paper sheets and/or on PDA)
Recording sheets/PDA
Periodically, e.g. annually
In some cases communities appear to find it easier to use pre-designed paper forms to record tree data in the field, although direct entry of data into the PDA is certainly possible and reduces chance of transcribing error.
5445 5446
Box 3.4.3: Data collection at the community level 5447
5448
There are many good reasons to include communities in the collection of data for 5449
REDD. Foremost are ownership and commitment: if the communities are involved 5450
and get a fair share of the benefits, then they will automatically become custodians 5451
of the forest and protect the local resources. More practically, community 5452
involvement is the most cost-efficient mechanism to collect large volumes of basic 5453
data. There are, however, limitations to the kind of data that communities can 5454
reliably collect, and the data is best limited to a small set of basic forest properties:
5455
• Species identification, with common names. (Botanical expert to convert 5456
common names to scientific nomenclature.) Periodic (e.g. once every five years).
5457
• Tree count. Annual.
5458
• DBH measurement. Annual.
5459
Even while reporting of carbon emission reduction is not done annually, it is 5460
important to collect the basic data annually. This maintains community 5461
involvement, but it is also a very important tool to assess the quality of the data 5462
collection process and it provides insight in the effectiveness of interventions to 5463
reduce emissions. Data quality assessment over time in a given community can be 5464
augmented by jointly analyzing the data from many communities in a single 5465
ecological zone or forest type. If a certain community is found to produce data that 5466
is divergent from that of the other communities then remedial action can be taken 5467
by investigating its cause:
5468
• Errors in the measurement procedure.
5469
• Errors in the stratification of the forest (e.g. forest belongs to a different 5470
ecological zone).
5471
• Effectiveness of intervention (improved forest management) is different.
5472 5473
Equipment (PDAs equipped with simple GIS software such as ArcPad™ and GPS 5474
attachments; measuring tapes, tree tapes, callipers etc) is assumed to be property of 5475
the intermediaries and used by a number of villages/community forest groups in a given 5476
area. An intermediary with one PDA could service between 12 and 20 communities per 5477
year (for cost estimates see Section 3.4.5). Appropriate methodology has been 5478
developed by the Kyoto:Think Global Act Local project and can be downloaded from the 5479
project website (see Box 3.4.4).
5480
Communities should be assisted in establishing the sampling plots. Marking of the centre 5481
of the permanent plots, for instance with paint on tree trunks, increases the reliability of 5482
the inventory and reduces the standard error by ensuring that exactly the same areas 5483
are measured each year. On the other hand, it could introduce bias in that it shows 5484
where the measurements are made, and could lead forest users to avoid these areas 5485
when e.g. collecting firewood or poles, thus reducing the representativeness of the 5486
sample. Using a GPS could be an alternative, but in densely forested areas the signal 5487
tends to be weak, giving a coarse determination of position.
5488 5489
Box 3.4.4: The ―Kyoto: Think Global, Act Local‖ collaborative research 5490
project 5491
5492
The ―Kyoto: Think Global, Act Local‖ research project has been piloting many of the 5493
techniques elaborated in this section. The KTGAL project is a joint endeavour of 5494
research institutes and NGOs in seven countries in Asia and Africa, led by the 5495
University of Twente of The Netherlands with the support of ITC, The Netherlands.
5496
The KTGAL project has prepared manuals intended for the training of intermediary 5497
staff in participatory forest inventory. It is assumed most staff would have had at 5498
least some intermediate (middle school) education, and that they are familiar with 5499
computers, but it is not a requirement that they have much forestry experience.
5500
The manuals can be downloaded from www.communitycarbonforestry.org, where 5501
you can also find other supporting information.
5502 5503