|
|
|
|
Ground truthing of
forest type map
|
Forest type map
digitised and developed within GIS
|
|
Road traverse
procedure implemented
|
Data management
using Excel, plotted within GIS
|
Traversed roads
produced as map theme
|
Use of Global
Positioning System (GPS)
|
Data downloaded into
Excel and incorporated into GIS
|
Locations (ground
features & work activities) produced as map theme
|
Tree identification
skills of field staff improved
|
Identification of
specimens in GFC herbarium
|
Report describing
activities and recommending future training activities;
138 digital
photographs of species encountered
|
New sampling
procedure implemented and tested
|
Data management and
processing using TREMA software
|
Stand and stock
tables, other data summaries
Drafting of
procedures manual commenced
|
Stock survey
procedure implemented and tested
|
Data management and
processing using TREMA software; manual and GIS preparation of stock
map
|
Data summaries; Tree
Stock Map (by hand and using GIS);
Drafting of
procedures manual commenced
|
New PSP procedure
implemented and tested
|
Data management and
processing using TREMA and ArcView software
|
Data summaries; PSP
tree map;
|
Preliminary work
study data collected on Stock survey and Sampling inventory
|
|
Inventory budgeting
model; ranking of sub-plot sizes by cost-effectiveness
|
The procedures developed
and applied were found to work reasonably effectively, but require further
refinement before they can be finalised and applied on a wider scale. Though
more time could usefully have been spent on some of the field activities,
the planned work programme was nonetheless achieved within the allocated
time. Field staff from the Forest Inventory and Silviculture sections were
trained in all of the field activities undertaken, while staff from the
Forest Monitoring Division participated in the tree identification and PSP
establishment activities. The GFC Economist designed, implemented and
analyzed the work study aspects of the programme.
In the office, a
significant development was the implementation of the TREMA database
management system within the FRMD, with assistance from a DFID-funded
consultant. Furthermore, over this period, inventory technical staff
received basic GIS training and support, using this technology to prepare
all maps contained in this report.
Follow-up work required
to complete the development process is highlighted at the end of each main
chapter, as appropriate (these sections are summarized at the end of Chapter
7).
A total of 30 core GFC
participants were involved in the pilot inventory, including support staff.
Important assistance was also received from a number of other organisations/individuals
within and outside of GFC (see below). However, attempts to include staff
from the licensees working in and around the main location were well
received but did not result in any involvement beyond brief discussions.
The production of this
report has been a collaborative effort, whereby the officer leading each
activity prepared the first draft of the relevant chapter. Data management
and processing, along with production of GIS maps, were carried out by the
Inventory Data Analyst, assisted by the GFC/DFID Forest Inventory Adviser.
The FI Adviser compiled and completed the final report, which was reviewed
at a number of stages by GFC and DFID technical staff.
Results and Implications
The pilot forest inventory went a good way
towards achieving its stated aim and provides a sound basis for future
static inventory work by GFC. The work has also paved the way for future
dynamic inventory work, though a strategic review is required to guide
future priorities and methods (in progress at time of update - November
2000). Follow-up exercises conducted during 2000 have provided important
additional feedback, which is being incorporated into the GFC procedures
(due for publication in 2001).
Indications to date suggest that the
procedures developed during the pilot forest inventory are suitable for
meeting the principal information needs at the forest management and
operating levels. At the National level, the majority of initial efforts
will focus on the compilation and analysis of existing data, though the
sampling procedure developed for management level inventories is
considered suitable for collection of any additional compositional data
required. Use of the same procedure at both management and national scales
will serve to ensure compatibility of the resulting information.
Wider issues relating to GFC's management
and dissemination of forest resource information have recently been
explored in a GFC Strategy paper. This paper (which includes new
feedback from the sector) proposes priorities for forest resource
information required by GFC, the sector and various other stakeholders and
provides recommendation as to how GFC can best use its resources with
regard to future work.
The primary requirement of the FRI-related
procedures adopted and promoted by GFC is that they meet information needs
in a cost-effective manner. To this end, continued attention needs to be
paid towards pursuing the following:
Maximising the use of existing information
by developing a national information system. Such a system can be designed
to provide easy access to the substantial (and evolving) body of existing
inventory information, whilst also acting as a comprehensive archive.
-
Streamlining the collection of new data,
by focusing on priority gaps in existing knowledge, relative to specific
information needs (national, regional and local). Future GFC inventory
work will involve greater use of API and satellite imagery to reduce the
need for exhaustive new field exercises. Low cost means for obtaining new
AP coverage of priority areas should be further examined.
-
Continuing to examine alternative
approaches which could play a role in meeting Guyanese forest resource
information requirements, by studying approaches used elsewhere. This will
help GFC to ensure that it adopts the most appropriate approach for its
own work, while providing a broader understanding through which to
evaluate the information submitted by concession holders (particularly
those who make use of alternative methodologies to GFC).
-
Supporting the sector (including
Amerindian communities) by the provision of clear national guidelines,
supported by extension services and vocational training in relation to the
collection, management and dissemination of forest resource information.
Acknowledgements
The work described in this report was the
result of a close collaboration between many GFC staff from a number of
Sections and Divisions, along with staff from a number of other
organisations.
Though the majority of human and financial
resources were provided by GFC, important contributions were made by the
DFID GFC Support Project in the form of technical support and provision of
equipment and books, and CIDA in the form of inventory section equipment
and vehicles.
In addition to the core participants (see
Appendix 1-I), thanks are extended to DFID GFCSP, Iwokrama Centre, NRMP,
Tropenbos Guyana and VSO for their involvement in particular aspects of
the exercise.
API - Aerial Photo-interpretation
CIDA -Canadian International Development
Agency
DFID - (UK) Department for International
Development
FPA- Forest Products Association
FRMD - (GFC) Forest Resources Management
Division
FMD - (GFC) Forest Monitoring Division
GFC - Guyana Forestry Commission
GFD - Guyana Forest Department (1925 -1979)
GIS - Geographical Information System (or
Science)
IFP- (CIDA) Interim Forestry Project
NRMP(GtZ)- Natural Resources Management
Project
PDD - (GFC) Planning and Development
Division
SFP - State Forest Permission
VSO - (UK) Voluntary Service Overseas
Examples of outputs from the Pilot
Inventory
1) Maps
2) Stand tables
The stand tables presented were prepared
using TREMA database management software.
NB where local names are followed by, e.g.,
(4 spp), this signifies that it was not possible to identify the specimens
encountered as far as their specific scientific name. The number in
brackets therefore indicates the precision with which the specimen was
identified, based on the number of taxa known to share the same common
name.
The wide confidence ranges within the
Arikabuka tables are accounted for by the relatively small number of
sample plots established. The confidence intervals for the totals by size
class are calculated for all tree data combined, irrespective of species.
Stand tables and Map of the
Arikabuka Pilot Area
a)
Arikabuka sampling inventory: Summary stand table: Wallaba Forest
Items per ha - 95% confidence range
(- to +)
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
%
|
TOTAL
|
|
|
-
|
+
|
-
|
+
|
-
|
+
|
|
|
|
|
27
|
148
|
10
|
36
|
1
|
7
|
24
|
114
|
|
|
33
|
124
|
10
|
27
|
0
|
5
|
21
|
100
|
|
|
18
|
123
|
0
|
11
|
0
|
0
|
16
|
75
|
|
|
9
|
58
|
0
|
11
|
0
|
4
|
8
|
40
|
|
|
0
|
42
|
0
|
0
|
0
|
0
|
4
|
21
|
|
|
0
|
27
|
0
|
0
|
0
|
0
|
3
|
12
|
|
|
0
|
20
|
0
|
0
|
0
|
0
|
2
|
8
|
|
|
0
|
20
|
0
|
0
|
0
|
0
|
2
|
8
|
|
|
0
|
26
|
0
|
0
|
0
|
0
|
2
|
8
|
|
|
0
|
20
|
0
|
0
|
0
|
0
|
2
|
8
|
|
|
0
|
14
|
0
|
3
|
0
|
0
|
1
|
5
|
|
|
0
|
14
|
0
|
3
|
0
|
0
|
1
|
5
|
|
|
0
|
14
|
0
|
0
|
0
|
0
|
1
|
4
|
|
|
0
|
218
|
0
|
20
|
0
|
5
|
15
|
75
|
|
|
310
|
519
|
47
|
|
2
|
17
|
100
|
484
|
b) Arikabuka sampling
inventory - Summary Stand table: Mixed Forest
Stems per ha - 95% confidence range
(- to +)
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
%
|
TOTAL
|
|
|
-
|
+
|
-
|
+
|
-
|
+
|
-
|
+
|
|
|
|
|
13
|
55
|
1
|
9
|
0
|
0
|
0
|
0
|
7
|
39
|
|
|
5
|
63
|
0
|
11
|
0
|
1
|
0
|
0
|
7
|
35
|
|
|
6
|
50
|
0
|
1
|
0
|
0
|
0
|
0
|
5
|
28
|
|
|
0
|
51
|
0
|
5
|
0
|
2
|
0
|
1
|
5
|
|
