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20

RESULTS AND

DISCUSSION

The results presented below summarize the

findings from the surveys conducted in the

four target countries: Cameroon, Gabon,

RoC, and DRC. Here we present information

relevant to setting reference emission levels

for REDD+ activities by determining historical

deforestation rates in mangroves, providing

an analysis of drivers of deforestation and

degradation

of

mangrove

ecosystems,

estimating values of ecosystem services and

presenting carbon stocks, sequestration

as well as potential emissions. Having

accurate estimates of these metrics can help

governments in making the case for the

inclusion of mangroves in national REDD+

plans and can allow for improved monitoring,

reporting and verifications necessary for

REDD+ activities in the region.

Mangrove area change (2000 –

2010) and analysis of drivers

Mangrove area change (2000 – 2010)

The following data are presented with some

important caveats that must be taken into

account when interpreting the results. Firstly,

the relatively low 30m spatial resolution

Landsat imagery from which the mangrove

classifications were derived does not allow

for identification of very localized small-scale

(<30m) deforested patches common in many

mangrove areas. This does not allow us to

qualify the quality of the ecosystem in terms

of density and height of trees. A forest may

have been degraded and thinned to some

degree but not completely deforested and this

may not be evident from the satellite images

analysed here. Furthermore, the Congo River

Basin has extremely high levels of cloud cover,

thus making access of cloud-free images for

the region difficult. To generate cloud free

coverages for the area of interest, images

from years preceding and following the study

years were acquired, usually 3 in total, and

merged together in a process which selected

the best quality pixels from all 3 images, again

decreasing the accuracy of analysis. Finally,

although the satellite images and derived

mangrove classifications were validated by

an expert in the field, a far greater amount

of validation is recommended to increase

confidence in the results and improve the

accuracy of our analysis. Validation by experts

in each country rather than one for the whole

region would be highly beneficial.

However, even given these caveats, some

interesting trends do emerge from the analysis.

Deforestation rates are high, with 18% loss

between 2000 and 2010 in Cameroon, 35%

loss in the RoC, 6% loss in the DRC and 19%

loss in Gabon. The overall rate of loss per year

for the region is high, 18% over the decade, so

1.8% loss per year. However, along with these

fast rates of loss the analysis also found areas

of regrowth and resilience, meaning that the

overall net loss was relatively insignificant.

Cameroon exhibited 0.5% net loss, RoC 2.5%,

DRC 1.6%, Gabon 2.7% and the overall region

1.6%. As stated above this net loss does not

take into account degradation and thinning of