FAO-UNDP-GEF
Biodiversity Project
Compiled By L. Persha
Threat Reduction Analysis (TRA) is a monitoring tool used to judge the effectiveness of conservation interventions by measuring the changes in the level of threats to biodiversity over time, and to then relate those changes to project activities. This provides information on whether the biodiversity conservation of an area has been improved or not as a result of project activities, and also (to some extent), why (i.e. which threats have been reduced, which activities have contributed to this, what lessons can be drawn for meeting similar threats in future interventions, etc.). The TRA approach, based on that described by Salafsky and Margoluis in the journal Conservation Biology (1999), monitors threats to the resource rather than changes to biological parameters themselves, as a proxy measurement of conservation impact. By doing so, this method avoids the need to carry out complex quantitative biological studies in order to generate information on the state of the biodiversity resources. Accurate scientific assessments of the ecological status of a particular resource (for instance Juniperus procera) may require time investments over years, and often yields results that are difficult to interpret by people without a scientific background. It is much simpler and cost effective to measure changes to the broad human activities that threaten the integrity of the resource (e.g. logging), and then use that information to judge the state of the resource itself.
The
TRA approach therefore has a number of benefits for assessing ICDP progress and
conservation success. One of these
benefits is flexibility in designing a methodology that is tailored to
individual projects. Other benefits
include the ability to detect changes within the project timeframe; ease,
efficiency and cost-effective of use; results which are readily interpretable by
all stakeholders (rather than only to those of a scientific background);
flexibility to generate meaningful results in the absence of a firm baseline
data set; and effective comparison of results between dissimilar sites.
The TRA approach involves generation of a “Threat Reduction Index”,
which requires the assessors to identify threats to the resource, rank these
threats in order of their relative importance, determine the degree of progress
made towards reducing each threat (over a chosen time period of intervention),
and calculate a combined estimate of the amount by which the threats to the
resource as a whole have been reduced over the chosen time period of project
intervention. Threat rankings are based on a set of pre-determined
criteria, such as area, intensity and urgency.
Pilot
TRAs carried out by Uganda, Tanzania and Kenya have allowed us to pick up some
ideas on how to tweak the Threat Reduction Assessment methodology so that it is
more applicable to the particulars of our project, ultimately allowing us to
complete a more useful assessment of the Biodiversity Project’s progress in
reducing threats to biodiversity (and therefore reducing biodiversity loss) at
each of the sites.
TRA
involves seven steps, summarised as follows:
1.
Define the project area (spatially and temporally).
2.
Develop a list of all direct threats to the biodiversity at the project
site, which were present at the project start date.
3.
Rank each threat based on 3 criteria: area, intensity and urgency. Area refers to the percentage of the habitats in the site
that the threat will affect. Intensity
refers to the impact of the threat within a micro-site – will the threat
completely destroy the habitat in a small locality, or will it only cause minor
changes? Urgency refers to the
immediacy of the threat – will the threat occur tommorrow or in 15 years?
If there are 4 threats, then the highest ranked threat for each criteria
receives a score of 4, and the lowest ranked threat receives a score of 1.
4.
Add up the scores across all three criteria to get a total ranking.
5.
Determine the degree to which each threat has been met (this requires
defining what 100% threat met means for each threat).
6.
Calculate the raw score for each threat.
Multiply the total ranking by the percentage calculated in step 5 to get
the raw score for each threat.
7.
Calculate the final threat reduction index score.
Add up the raw scores for all threats in each sub-category (forest
interior and forest edge threats), divide by the sum of the total rankings, and
multiply by 100 to get the threat reduction assessment index for each
sub-category. Total the raw scores
and then divide by the total ranking for both categories to get the final threat
reduction assessment index, as a percentage.
Suggested
changes to the TRA methodology are highlighted below:
1)
Direct threats split into two categories: Forest interior threats and
Forest edge threats.
We
have noted that the kinds of threats, and seriousness of each threat, vary in
and around project forests by location. For
instance, in Ol Donyo Orok, forest fires are a serious threat on forest edges,
impacting a large area and causing substantial changes to the habitat; but are
negligible in the forest center. Threats
have different levels of scope, impact and urgency in different places in and
around the forest. As a result,
lumping all of the threats into one assessment is perhaps not the best answer.
In order to take into account these differences, we have decided to
divide threats into two categories and carry out separate sub-assessments on
these two categories of threats – forest interior threats and forest edge
threats. Forest interior threats
are those which occur inside closed forest, while forest edge threats are those
which occur around the forest perimeter (e.g. agricultural encroachment).
The sub-assessments are then combined into a final threat reduction
index, using the standard formula [(Raw Score/Total Ranking)*100].
2)
Interpretation of the Threat Met category.
Project
staff initially over-emphasised awareness in calculating a number for the Threat
Met category. For example, one team
noted that ‘the district team, divisional team and Community Environment
Committees have carried out a lot of awareness creation’. This was seen as
contributing to stemming the threats to the forest, and was thus incorporated
into the threat met percentage for each threat. The “threat met” percentage
should only be based on quantifiable evidence of a reduction in the threat (for
instance, project indicators such as hard evidence of less trees being cut in
the forest, a smaller number of forest fires since the project began, etc.)
– awareness raising is an activity which would feed into seeing this,
if the awareness raising has been effective.
But project activities should not be incorporated into the threat met
percentage simply because the activities are believed to be effective, as this
falsely inflates the final threat reduction index.
We need harder data.
3)
TRA
and subjectivity.
The TRA
designers point out that their approach is not immune to bias.
Some of the categories used in the assessment hinge on subjective
analysis. The Threat Met category
is probably the biggest pitfall in this respect.
When carrying out the assessment, project teams must keep in mind that
the objective of the exercise is to gain a realistic
understanding of the progress they have made so far, and then use this
information to determine which activities may have contributed to improvements
in threat reduction (or lack thereof), and tweak future project activities to be
more successful. The TRA ideally
should by carried out at predetermined intervals over the project lifetime,
giving a trend over time in the amount that threats have been reduced, and thus
project effectiveness. In a perfect
world, one would expect to see the final threat reduction index percentage start
off rather small (since activities normally take some time to get off the
ground, and to have real impact), and grow in an upward trend over the course of
the project. But in a realistic
world, some project activities are not as effective as one would hope, others
take longer to be effective than planned, others take off quite well. TRA helps to see this, and enables project teams to use this
information to improve on their work. Project
teams need to turn a critical eye toward their own activities, and must try to
be as objective as possible when answering questions such as, for example “To
what extent have we reduced the threat of tree cutting for charcoal burning and
wood carving in Ol Donyo Orok Forest”?
One would
not expect the project to have reduced threats to Ol Donyo Orok Forest by 52.5%
in the second year of the project. This
is unrealistic, and if such a number is generated through the TRA, the project
team would be advised to look back at the subjective portions of their analysis
and rethink some of the numbers. In
this case it is likely that the threat met percentages were overly optimistic.
The TRA’s primary use is to help project teams judge the state of
biodiversity threats at project sites, and by association, the strengths and
weaknesses of project activities. This
information is then intended to be used to strengthen the project’s future
interventions, leading to more effective overall biodiversity conservation.
The primary intention is not to show outsiders how much the project has
accomplished. As such, the TRA is
not a useful monitoring tool if it isn’t based in objectivity.
The meaning of “100% threat met” must be defined, so that we have a measuring stick for interpreting the percentages in the table. For instance, in the case of uncontrolled forest fires, “100% threat met” may mean no fires at all, and a system of fire detection and village fire-fighting mobilisation in place. “100% threat met” for tree cutting for poles, charcoal and wood carving may mean a sustainable system of extraction in place to meet community needs. These are issues that each project team will need to flesh out and agree on.
4)
Understanding and setting a useful time frame of analysis.
An
appropriate time frame of analysis must be set and understood before undertaking
each TRA. For instance, the first
TRA carried out at each site should use the project start date as the lower time
limit for analysis, in order to generate a baseline percent reduction to
biodiversity threats at the site since the project began.
This is difficult for the Cross Borders Project, because it requires
thinking back in time to the threat situation at the site in 1998 (thus more
subjectivity!), and basing analysis on the changes that have occurred to threat
levels since that time. The project
team must be careful to judge only those changes that have occurred between 1998
and 2001. For instance, a 6 year
old pitsaw site should not be counted in the analysis as representing a
reduction in the threat of logging, because that pitsaw site was also not in
operation at the project start (this came up in Uganda’s pilot TRA for Sango
Bay). The TRA is meant to provide
information on the reduction of threats to biodiversity resulting
from project interventions, over the course of the project lifetime.
Subsequent
TRA analyses should also define the time frame over which threats will be
assessed, before undertaking the assessment.
The time frame should be long enough to allow for changes to be seen (if
there are any), and footnoted under the table.
The Ol Donyo Orok TRA was conducted from July 1998 – March 2001.
5)
Groundwork feeding into the TRA.
A standard
methodology should be designed for collecting data to feed into the parameter
rankings (for area, intensity and urgency).
This methodology would vary by project site, and may vary for individual
threats, as well (e.g. assessing burn area, intensity and urgency is not well
suited for a simple walking transect methodology; walking transects along
existing footpaths in forests gives information on areas of highest human
activity/impact, but may miss emerging threats in other parts of the forest.
This methodologies should be decided on by the project team before
starting the analysis, and are informed by prior knowledge of the forest layout,
areas of human activity, and nature of threats.
It is okay (and probably better) to combine a number of different
methodologies to assess threat levels.
14.3.2001
Participants:
Same
Project Team; supported by Marc Baker, Lauren Persha and Alan Rodgers
Area
of Chome Forest Reserve: 14,283ha
(gazetted)
11,800ha (measured forest cover from 1:50,000 topo sheets)
For
this exercise the threats are split
into two categories;
1.
Forest interior: Defined as
forest cover beginning 100m from forest edge.
2.
Forest edge: Includes all forest edge (up to 100m into areas having
forest cover), grassland and degraded forest within and including the gazzetted
forest reserve boundary.
Category
A:
Perceived forest interior threats (not ranked):
§
Logging of mainly Ocotea
usambaresis (Camphor).
§
Poaching, which includes hunting for meat (Bush Pig, Duiker spp. and
Colobus Monkey) and bird trade (Hartlaubs Turaco).
§
Forest fire (accidental, by pitsawers or other human activities in the
forest interior).
§
Cattle grazing and movement along paths.
§
Fuelwood collection.
§
Pole cutting.
Category
B:
Perceived forest edge threats (not ranked):
§
Fire (intentional, to maintain or increase grazing areas in or near the
forest).
§
Fire (accidental, caused by uncontrolled burning during land preparation
for agriculture outside the F.R. boundary)[1].
§
Cattle grazing.
§
Agricultural encroachment.
Table
1. Threat Reduction Assessment for Chome Forest Reserve.
[2]
|
Direct
Threats[3] |
Area
Ranking |
Intensity Ranking |
Urgency Ranking |
TotalRanking |
%
Threat Met |
Raw Score |
TRA index |
A1 |
Logging of mainly Camphor |
4 |
3 |
3 |
10 |
15* |
1.5 |
|
A2 |
Forest fire (accidental) |
3 |
4 |
4 |
11 |
15 |
1.65 |
|
A3 |
Fuelwood collection |
2 |
1 |
1 |
4 |
5 |
0.2 |
|
A4 |
Poaching (bush meat/bird trade) |
1 |
2 |
2 |
5 |
0 |
0 |
|
Sub-Total |
30 |
|
3.35 |
11.2% |
||||
B1 |
Forest fire (intentional) |
4 |
4 |
3 |
11 |
10 |
1.1 |
|
B2 |
Forest fire (accidental, caused through ag. land preparation) |
3 |
4 |
4 |
11 |
20[4] |
2.2 |
|
B3 |
Agricultural encroachment |
1 |
2 |
1 |
4 |
40[5] |
1.6 |
|
B4 |
Cattle grazing |
2 |
1 |
2 |
5 |
0 |
0 |
|
Sub-Total |
31 |
|
4.9 |
15.8% |
||||
Total |
61 |
|
8.25 |
13.5% |
*
Note that the site team accept percentages of Threat Met listed here.
Definitions
of % Threat Met for Chome Forest, by individual threat:
Logging
of mainly Ocotea usambaresis
(Camphor):
A sustainable camphor off-take system in place and followed in Chome
Forest Reserve. Quotas observed by
villagers, forest department, and outside loggers. Large scale illegal logging operations no longer in
existence. Forest patrols occurring
on a regular basis.
Poaching which includes, hunting for meat (Bush Pig, Duiker spp and Colobus Monkey), and bird trade (Hartlaubs Turaco):
??? A
sustainable off-take system established, or all hunting/snaring/trapping
eliminated. Forest patrols
occurring on a regular basis.
Forest fire (accidental by pitsawers or other illegal activities):
Early fire detection and village fire-fighting mobilisation system in place. Number of fires not exceeding 1 per year, fire instances reduced to natural occurences. (Note: forest fires will occur on a stochastic basis – the emphasis here is on rapid detection and containment). Forest patrols occurring on a regular basis.
Cattle grazing and movement along paths:
Long
term cattle grazing eliminated from the forest reserve (seasonal grazing in
times of unusual drought is permitted). Cattle
passage through the forest reserve allowed along roads only. Forest patrols occurring on a regular basis.
Fuelwood collection:
Sustainable
fuelwood collection system established. Alternative
fuels / fuel efficient stoves in widespread use in surrounding villages (? In
use by 60% of families?).
Pole cutting:
Sustainable pole cutting system established. (Pole cutting was not seen as a serious threat, as most Pare homes and structures are built of brick, although livestock enclosures may be built with poles).
Fire (intentional, to increase/maintain grazing areas):
100%
of forest reserve boundary cleared. Early
fire detection and village fire-fighting mobilisation system in place.
No cases of forest edge fires in months when land preparation for
agriculture does not take place.
Fire (accidental, caused by uncontrolled burning during land preparation for agriculture):
100%
of forest reserve boundary cleared. Early
fire detection and village fire-fighting mobilisation system in place.
No cases of forest edge fires spreading into the forest reserve in months
when land preparation for agriculture takes place.
Cattle grazing:
No
resident cattle inside forest reserve boundary, except at forest
department/village authorisation during times of unusual stress (i.e. drought).
Agricultural encroachment:
No conversion of forest reserve land to agriculture.
No pressure to degazette forest reserve land to meet village agricultural
needs.
26.3.2001
Participants:
Monduli
Project Team; supported by Marc Baker, Lauren Persha and Alan Rodgers
Area
of Kitumbeine Forest Reserve:
12,000
ha (gazetted)
3,500 ha (measured closed
forest cover from 1:50,000 topo sheets)
For
this exercise the threats are split
into two categories;
1.
Forest interior: Defined as
forest cover beginning 100m from forest edge.
2.
Forest
edge: Includes all forest edge (up to 100m into areas having forest cover),
grassland and
degraded
forest within and including the gazetted forest reserve boundary.
Category
A:
Perceived forest interior threats (not ranked):
§
Logging (of mainly Juniperus
procera)
§
Cattle grazing
§
Pole-cutting
§
Fuelwood collection
Category
B:
Perceived forest edge threats (not ranked):
§
Agricultural encroachment
§
Human settlement
§
Cattle grazing
Table
1. Threat Reduction Assessment for Kitumbeine Forest Reserve.
[6]
|
Direct
Threats[7] |
Area
Ranking |
Intensity Ranking |
Urgency Ranking |
TotalRanking |
%
Threat Met |
Raw Score |
TRA index |
A1 |
Logging[8] |
3 |
4 |
4 |
11 |
0 |
0 |
|
A2 |
Cattle grazing |
4 |
3 |
2 |
9 |
0 |
0 |
|
A3 |
Pole-cutting |
1 |
2 |
3 |
6 |
0 |
0 |
|
A4 |
Fuelwood collection |
2 |
1 |
1 |
4 |
0 |
|
|
Sub-Total |
30 |
|
0 |
0% |
||||
B1 |
Agricultural encroachment |
2 |
2 |
3 |
7 |
10 |
.3 |
|
B2 |
Human settlement |
3 |
3 |
2 |
8 |
10 |
.3 |
|
B3 |
Cattle grazing |
1 |
1 |
1 |
3 |
10 |
.3 |
|
Sub-Total |
18 |
|
.9 |
5% |
||||
Total |
48 |
|
.9 |
2% |
Definitions
of % Threat Met for Kitumbeine Forest, by individual threat:
Logging
of mainly Juniperus procera:
A sustainable off-take system in place and enforced in Kitumbeine Forest
Reserve. Quotas observed by
villagers and forest department staff. Forest patrols occurring on a regular
basis. Large scale replanting efforts underway and showing success.
Cattle grazing and movement along paths:
Long
term cattle grazing eliminated from the forest reserve (seasonal grazing in
times of unusual drought is permitted). Cattle
passage through the forest reserve allowed only along roads and designated
paths. Forest patrols occurring on
a regular basis. Control of cattle movement and limited grazing permitted on
sub-montane grassland.
Sustainable
fuelwood collection system established. Alternative
fuels / fuel efficient stoves in widespread use in surrounding villages (? In
use by 60% of families?).
Pole cutting:
Sustainable pole cutting system established and observed.
Cattle grazing:
Cattle
gazing permitted inside forest reserve boundary as authorised by designated forest department/village authorities during times
of unusual stress (i.e. drought). Cattle movement in the forest reserve is
permitted, but restricted to certain routes which pass around the mountain
rather than over it (to reduce cattle impacts on the sub-montane grassland).
Agricultural encroachment / Human Settlement:
No conversion of forest reserve land to agriculture. No pressure to degazette forest reserve land to meet village agricultural needs. A suitable agreement between the forestry division, Monduli District Council and villagers negotiated so that land currently under agriculture and human settlement (eastern side of the reserve) remains so, but no further encroachment takes place. Terms of agreement could include the degazettment of areas currently under settlement in exchange for the gazettement of forested areas or other suitable habitat outside of the present reserve boundary.
19.3.01
Participants:
Kenya
Project Team; supported by Lauren Persha and Alan Rodgers
For this exercise the threats are split into two categories;
1.
Forest interior: Defined as
forest cover beginning 100m from forest edge.
2.
Forest edge: Includes all
forest edge (up to 100m into areas having forest cover), grassland and degraded
forest within and including the gazetted forest reserve boundary.
Category
A:
Perceived forest interior threats (not ranked):
§
Pole cutting (not a threat in Kasigau Forest)
§
Fuelwood collection (Chawia Forest only)
§
Grazing in the forest (Chawia Forest only)
§
Overuse of water resources
§
Timber harvesting (not a threat in Ngangao Forest)
§
Exotic species invasions (Chawia Forest only)
§
Forest fires (Ngangao and Kasigau Forests only)
§
Dry season livestock grazing (Kasigau Forest only)
Category
B: Perceived
forest edge threats (not ranked):
§
Habitat conversion to agriculture (not a threat in Kasigau Forest)
§ Forest fires
|
Direct
Threats |
Area
Ranking |
Intensity Ranking |
Urgency Ranking |
TotalRanking |
%
Threat Met |
Raw Score |
TRA Index |
A1 |
Pole cutting |
6 |
3 |
3 |
12 |
5 |
.6 |
|
A2 |
Fuelwood collection |
5 |
1 |
2 |
8 |
0 |
0 |
|
A3 |
Grazing in the forest |
3 |
6 |
4 |
13 |
5 |
.65 |
|
A4 |
Overuse of water |
4 |
4 |
6 |
14 |
15 |
2.1 |
|
A5 |
Timber harvesting |
2 |
5 |
5 |
12 |
20 |
2.4 |
|
A6 |
Exotic species invasions |
1 |
2 |
1 |
4 |
0 |
0 |
|
Sub-Total |
63 |
|
5.75 |
9.1% |
||||
B1 |
Habitat conversion to agriculture |
2 |
2 |
1 |
5 |
20 |
1.0 |
|
B2 |
Forest fires |
1 |
1 |
2 |
4 |
20 |
.8 |
|
Sub-Total |
9 |
|
1.8 |
20% |
||||
Total |
72 |
|
7.55 |
10.5% |
|
Direct
Threats |
Area
Ranking |
Intensity Ranking |
Urgency Ranking |
TotalRanking |
%
Threat Met |
Raw Score |
TRA Index |
A1 |
Forest fires |
1 |
4 |
1 |
6 |
30 |
.54 |
|
A2 |
Timber harvesting |
2 |
1 |
2 |
5 |
15 |
.75 |
|
A3 |
Pole cutting |
4 |
2 |
3 |
9 |
10 |
.9 |
|
A4 |
Overuse of water resources |
3 |
3 |
4 |
10 |
10 |
1.0 |
|
Sub-Total |
30 |
|
3.19 |
10.6% |
||||
B1 |
Forest fires |
1 |
2 |
1 |
4 |
30 |
1.2 |
|
B2 |
Habitat conversion to agriculture |
2 |
2 |
2 |
6 |
15 |
.9 |
|
B3 |
|
|
|
|
|
|
|
|
B4 |
|
|
|
|
|
|
|
|
Sub-Total |
10 |
|
2.1 |
21% |
||||
Total |
40 |
|
5.29 |
13.2% |
|
Direct
Threats |
Area
Ranking |
Intensity Ranking |
Urgency Ranking |
TotalRanking |
%
Threat Met |
Raw Score |
TRA Index |
A1 |
Pole cutting |
4 |
3 |
4 |
11 |
10 |
1.1 |
|
A2 |
Exotic species invasions |
2 |
1 |
2 |
5 |
0 |
0 |
|
A3 |
Forest fires |
1 |
4 |
1 |
6 |
30 |
1.8 |
|
A4 |
Overuse of water |
3 |
2 |
3 |
8 |
0 |
0 |
|
Sub-Total |
30 |
|
2.9 |
9.6% |
||||
B1 |
Habitat conversion to agriculture |
2 |
2 |
2 |
6 |
30 |
1.8 |
|
B2 |
Forest fires |
1 |
1 |
1 |
3 |
30 |
.9 |
|
B3 |
|
|
|
|
|
|
|
|
B4 |
|
|
|
|
|
|
|
|
Sub-Total |
9 |
|
2.7 |
30% |
||||
Total |
39 |
|
5.6 |
14.3% |
|
Direct
Threats |
Area
Ranking |
Intensity Ranking |
Urgency Ranking |
TotalRanking |
%
Threat Met |
Raw Score |
TRA Index |
A1 |
Dry season livestock grazing |
4 |
2 |
3 |
9 |
15 |
1.35 |
|
A2 |
Timber harvesting |
3 |
3 |
4 |
10 |
20 |
.2 |
|
A3 |
Forest fires |
2 |
4 |
2 |
8 |
10 |
.8 |
|
A4 |
Overuse of water resources |
1 |
1 |
1 |
3 |
15 |
.45 |
|
Sub-Total |
30 |
|
2.8 |
9.3% |
||||
B1 |
Forest fires |
1 |
1 |
1 |
3 |
10 |
.3 |
|
B2 |
|
|
|
|
|
|
|
|
B3 |
|
|
|
|
|
|
|
|
B4 |
|
|
|
|
|
|
|
|
Sub-Total |
3 |
|
.3 |
10% |
||||
Total |
33 |
|
3.1 |
9.4% |
Definitions of % Threat Met for Taita Hills Forests, by individual threat[9]:
1. FOREST INTERIOR THREATS
Pole Cutting:
Sustainable
pole cutting system established and observed.
Fuelwood collection:
Sustainable
fuelwood collection system established.
Grazing in the forest:
Long
term cattle grazing eliminated from the forest
(seasonal grazing in times of unusual drought is permitted).
Cattle passage through the forest allowed only along roads and designated
paths.
Overuse of water resources:
Agreements
with communities in place regarding efficient water extraction from the forest.
Timber harvesting:
A
sustainable off-take system in place and enforced in those forests where
harvesting is deemed appropriate. Quotas
observed. No harvesting taking place in forests where harvesting is
deemed unsustainable.
Exotic species invasions:
No
new introductions of invasive species, or pressure to plant exotics in the
forest. No further spread of
existing invasive species.
Forest fires:
Early
fire detection and village fire-fighting mobilisation system in place.
Instances of fires limited to natural occurances.
2. FOREST EDGE THREATS
Habitat conversion to agriculture:
No
conversion of forest land to agriculture. No
pressure to convert forest land to agriculture.
Forest fires:
100% of
forest boundary cleared. Early fire
detection and village fire-fighting mobilisation system in place.
No cases of forest edge fires in months when land preparation for
agriculture does not take place. Careful land preparation techniques in practice by villagers
farming close to the forest edge. Forest
edge fires occurring in months when land preparation does take place are
extinguished rapidly and limited in scope.
PILOT
THREAT REDUCTION ASSESSMENT EXERCISE IN
SANGO BAY FOREST/WETLAND, UGANDA
The project
team for Sango Bay met and agreed on the major threats from those that were
identified in the participatory planning process. The team selected Malabigambo and Kaiso forest blocks of
Sango Bay as a starting point. The
major direct threats selected for these forest blocks were:
§
Illegal pitsawing
(Ps)
§
Over-harvesting of
poles (Pc), and
§
Clearing of
under-growth (Cu)
The field
team assessed threats along existing footpaths in the forest.
The team walked through the forest and ranked each encountered threat
occurrence in terms of the agreed parameters.
Ranking was therefore done on a scale from 1 to 3; a score of 3
represented the most serious threat, and a score of 1 represented the least
serious in terms of area, intensity and urgency.
The field
team of 13 people spent 7 days in the forest.
A thinking back in time has been done to assess the “Threat Met” percentage in respect to the situation existing on the ground at the beginning of the project, compared to the current situation. The degree to which each threat had been met was decided retrospectively by the project team as perceived in comparison to the situation at the beginning of the Project.
Table
1 indicates that clearing of undergrowth for different purposes has affected the
largest area in the forest blocks assessed.
On the other hand, pitsawing is the most intense and most urgent threat
followed by over-harvesting of poles.
Table
1: The Threat Reduction Assessment
Index Calculation for Sango-Bay Forests:
Threat[10] |
Area
Ranking |
Intensity
Ranking |
Urgency
Ranking |
Total
Ranking |
Threat
Met
(%) |
Raw
Score |
TRA
Index |
Illegal
Pitsawing (PS) |
1 |
3 |
3 |
7 |
40 |
2.8 |
|
Clearing
undergrowth (CU) |
3 |
1 |
1 |
5 |
40 |
2.0 |
|
Over-harvesting
of Poles (PC) |
2 |
2 |
2 |
6 |
30 |
1.8 |
|
Total |
6 |
6 |
6 |
18 |
|
6.6 |
36.0% |
Definitions of 100% threat reduction for Sango Bay Forests are as follows: 100% reduction of illegal pitsawing involves eliminating illegal pitsawing in the forest, although there could be regulated pitsawing in designated zones under permits by the Forest Department. 100% reduction of clearing undergrowth involves eliminating all illegal clearance, but could involve controlled clearance according to agreed parameters by stakeholders. 100% reduction of harvesting of poles involves elimination of illegal pole cutting and introduction of sustainable regulated pole cutting in designated zones.
11.3.2001
Participants:
Kenya
Project Team; supported by Lauren Persha and Alan Rodgers
For this exercise the threats are split into two categories:
1.
Forest interior: Defined as forest cover beginning 100m from forest
edge.
2.
Forest edge: Includes all
forest edge (up to 100m into areas having forest cover), grassland and degraded
forest within and including the gazetted forest reserve boundary.
Category
A: Perceived
forest interior threats (not ranked):
§
Tree cutting for poles, charcoal burning and wood carving
§
Overgrazing / overbrowsing
§
Destruction of springs by livestock
Category
B: Perceived
forest edge threats (not ranked):
§
Tree cutting for poles, charcoal burning and wood carving
§
Uncontrolled forest fires
§
Overgrazing / overbrowsing
§
Settlement / encroachment
|
DIRECT THREAT A = Forest interior threats B = Forest edge threats |
Area
Ranking[11] |
Intensity
Ranking |
Urgency
Ranking |
Total
Ranking |
Threat
Met (%) |
Raw Score |
TRA Index |
A1 |
Tree cutting for poles, charcoal burning and wood carving |
3 |
3 |
2 |
8 |
10 |
0.8 |
|
A2 |
Overgrazing / browsing |
2 |
2 |
1 |
5 |
20 |
1.0 |
|
A3 |
Destruction of springs by livestock |
1 |
1 |
3 |
5 |
30 |
1.5 |
|
|
A
category totals
|
|
|
|
18 |
|
3.3 |
18.33 |
B1 |
Tree cutting for poles, charcoal burning and wood carving |
4 |
3 |
3 |
10 |
10 |
1.0 |
|
B2 |
Uncontrolled forest fires |
2 |
2 |
2 |
6 |
10 |
0.6 |
|
B3 |
Overgrazing / browsing |
3 |
1 |
1 |
5 |
10 |
0.5 |
|
B4 |
Settlement / encroachment |
1 |
4 |
4 |
9 |
20 |
1.8 |
|
|
B
category totals
|
|
|
|
30 |
|
3.9 |
13.0 |
|
Final
Threat Reduction Index
|
|
|
|
48 |
|
7.2 |
15.0% |
A
= Threats which occur inside higher altitude closed forest (forest interior
threats).
B
= Threats which occur inside lower
altitude Acacia-Balanites woodland (forest edge threats)
Definitions
of % Threat Met for Ol Doinyo Orok – Namanga Hill Forest, by individual threat[12]:
1.
FOREST
INTERIOR THREATS
Tree
cutting for poles, charcoal burning and wood carving:
Sustainable off-take system in place and observed.
Overgrazing
/ overbrowsing:
Livestock entry into the forest reserve regulated by designated forest department / village authorities. Regulations observed by livestock keepers.
Destruction
of springs by livestock:
Sustainable water use system agreed to and in place.
Agreements observed by livestock keepers.
Tree
cutting for poles, charcoal burning and wood carving:
Sustainable off-take system in place and observed.
Uncontrolled
forest fires:
100% of forest boundary cleared. Early
fire detection and village fire-fighting mobilisation system in place.
Overgrazing
/ overbrowsing:
Livestock entry into the forest reserve regulated by designated forest
department / village authorities. Regulations
observed by livestock keepers.
Settlement / encroachment:
No conversion of forest land to agriculture. No pressure to degazette forest land to meet village agricultural needs.
[1]
The two categories of fire threats on the forest edge can be separated based
on time of year that the fire occurs (burning for land preparation is only
undertaken during certain months of the year) and location of the fire
origin.
[2]
TRA conducted for time period Nov. 1999 – March 2001.
[3]
Only those threats which were perceived to be of serious consequence were
assessed in this TRA (i.e., threat levels and impacts of cattle
grazing/movement along forest interior paths and pole cutting were not well
enough understood by the participants to include in the analysis).
[4]
This percentage was given because 60% of the forest reserve boundary (40km)
was cleared in late 2000. The
number of forest edge fires was greater in 2000 compared to 1999, however
2000 was also an exceptionally dry year.
[5] The high threat met percentage was given because the threat of agricultural encroachment on the eastern side of Chome F.R. has been virtually removed, through a process of renegotiating the reserve boundary with villagers and planting a clear live boundary to mark the new edge. However, encroachment pressure may exist on other sides of the reserve now or in the future, as well as pressure to push the boundary further into forest reserve land.
[6] TRA conducted for time period Nov. 1999 – January 2001.
[7] Only those threats which were perceived to be of serious consequence were assessed in this TRA.
[8] The logging of Juniper in Kitumbeine is considered to have worsened over the time period of assessment. Considerable areas are cleared and evidence of new logging has been observed on each of the five times the forest was visited over the past 1.5 years. To date, no steps have been made to control or curb this threat.
[9] Note that further detail and clarification will be added later by the Kenya Project Team.
[10] Threats for Sango Bay Forests were not sub-divided into Forest Interior and Forest Edge threats because threats to the forest are deemed uniform throughout.
[11]
A
score of 1 represents the lowest ranking across all threats, and a 3 (A) or
a 4 (B) is the highest ranking, representing the highest threat.
[12] Note that further detail and clarification will be added later by the Kenya Project Team.