Republic of Mozambique

Ministry of Agriculture
Nacional Directorate of Land and Forestry

Plan of Technical Cooperation
with JICA under the REDD+
toward Formulation of REDD+implementation Framework inMozambique

REDD+ Research and Develoment Center, FFPRI
February 7th, 2012

Joaquim Macuacua
Chief of Department of Natural Resource Inventory

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Basic Country Information
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Introduction to Mozambique
DNTF framework
Basic information on forest
Land cover map (Forests)
Land cover percentage destribution
History of National Forest Inventory
Hystory of REDD+ readiness preparation

Implantation framework proposed to RPP draft
Objective of Technical Coopetation with JICA under REDD+Grant Aid and DNTF-JICA Technical Cooperation Project
Proposed Overall Structure of the Project
Elements into consideration for REDD+2Location – Southern Africa, with Coastline at Indian Ocean and hinterland
links to Tanzania, Malawi, Zimbabwe,Zambia, South Africa and Swaziland;Area ~ 799,380 Sq km;

Population ~20 Millions (2007 censor),

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Language: Portuguese as a national
language and other natives languages;
Climate – Hot and humid, dry and coldseseans (Temp. 9º - 45º C);
Rainfall: 500 – 900 mm/year;
Independent in 1975 and end of civil
war 1992 (16 years);
Resources – Land, Water, Forests, Fish,Natural Gas (LPG), Mineral Charcoal,etc;
Institution that control Forest Natural
Resource: National Directorate ofLands and Forestry under Ministry ofAgriculture,3

National Directorate of Land and Forest is the institution of the state
responsible for implementation of policies related to land and forest resources.
NATIONAL
DIRECTOR
DEPUTY NATIONAL
DIRECTORCOUNCIL OF DIRECTORS

Land
Surveying
Department

Cadastre
Department

Forestry
Department

TECHNICAL COMMITEE

Wildlife
Department

NaturalResource
Inventory
Department

Law
Enforcement
Departament

Planning
Departament

Finance &Admin
Department

Community
BasedManagement

DPA

SPFFB(Forest andWildlife)

SPGC(Land)

SP
Agriculture

SP
Veterinary

SP
AgrarianExtension

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Mozambique is located in a tropical region characterised by miombo forest
with (semi)deciduous and evergreen forest, 51% of the country is covered byforest currently it is 40 million hectar;◦ Vegetation forest types (5 classes: Dense Forest, Opened, Mangrove, Moist open, Thicket);◦ Ecological zones (9 classes: Moist Miombo Forest, Sub-litoral moist Forest, Mosaic of costal
forest, mopane forest, etc.);Climate: with two seasons, a wet and hot season from October to March anda dry and cold season from April to September;
Forest is defined as area with a conopy cover >15% of coverage, tree hight >3m and surface ≥ 0.5ha. National definition of “forest” shall be agreed
among stakeholders and be reported to UNFCCC (to be published at CDMsite)
Forest area trend is decreasing in 0.58% per year, which 220 000 ha/annum(1990-2004). Increasing in Pantation area;◦ Estimated total volume and other wooded vegetation land 1.74 billion m 3 or 36.6 m3/ha;

Land belongs to the government;

56Agriculture

Other areas

15%

3%

Grassland

12%

Forest51%
OtherWoodedland
19%

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1980

1st National Inventory was conducted (financial1994

2nd National Inventory was conducted (financial2007

3rd National Inventory was conducted (finacialsupport by FAO);
support by FAO);

support by Italy/Mozambique);1983, 1998, 1999, 2004, 2007 Provincial forest inventory at
Niassa, Sofala, Cabo Delgado, Zambézia, Inhambane, Manicaand Maputo has been condacted(financial support by FAO, Finland,Italy/Mozambique).
 2012 provincial forest inventory to be carried out at Cabo
Delgado, Nampula, Gaza, Inhambane, sofala, Niassa, Tete,
Zambezia (financial support Gov. Mozambique, Italy),

Main purpose of those inventories was/is for timber
production and biomass assessment;
Scale 1: 1 000 000 at national level, 1: 250 000 at provinciallevel8March 2009
R-PIN(Readiness Project Idea Note) for
REDD was submitted to the World Bank. Norway funded for
consultancy work;
June 2009 National REDD+ Strategy was started draftingwith a fund from Norway as a part of the South-South
cooperation support between Brazil and Mozambique. With
this fund, IIED work with FAS (Brazil), Indufor (Finland),
University Eduardo Mondlane (UEM- Mozambique University),
Centro Terra Vida (CTV-Mozambique NGO) to support MICOAand MINAG’s responsibility. A working group was establishedinvolving stakeholders;

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April 2010
Japan Grant Aid on Forest Preservation
Programme (Japan Grant Aid) was signed between MINAG and
the Government of Japan, which enable Mozambique
government to purchase satellite images and equipment to beready for REDD+ monitoring;
October 2010
Mozambique became a member of REDD+Partnership. Vice Minister of MICOA gave a speech for theministerial meeting held in Nagoya CBD-COP10.
June 2011
The government of Mozambique decided
to halt temporally drafting of National REDD+ Strategy andspeed up the formulation process of RPP.

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September 2011

A draft of RPP was submitted to FCPF;

December 2011
JICA Detailed Planning Survey Team visited
Mozambique and agreed to conduct the Establishment ofSustainable Forest Resource Information Platform for
Monitoring REDD+ from 2012 for 5 years.
Some voluntary initiatives/programs on carbon stock exist
within the country.

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A fair, transparent and independent
National Accounting System in Mozambique(Coordination MICOA and MINAG)CONDES
UT-REDD+
National REDD+ Information Platform
Strategy andLegislation

Administration andAccounting

National Forest Resource(MRV and RL/REL)

Laws, Regulation,
Policy, Strategy,
Safeguard etc

Risk, Credit Benefit, Geographic availability,
Insurance etc
Leakage* National Council for Sustainable Development (comprising various ministers and chaired by Prime Minister)** Technical unit of REDD+12

 Establishment of Sustainable Forest Resource

Information Platform for Monitoring REDD+.

Creating a database GIS facilities at HQ with a nationwide
satellite image map and available forest and geographic
information, bases for MRV and RELs/RLs for forest resource
information platform, in addition to existing forest inventory
objectives.
We believe that national RL/REL and MRV should be prepared,administered, managed at national level with government
responsibility.

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Annual Forest loss

<Bi-products of REDD+>* Protect water sources* Maintain air, soil, andwater quality* Provide habitat ofanimals* Secure ecosystem andbiodiversity* Thus, improve foodJapan Grant Aidand JICA Projectsecurity of large
population

CarbonCredit<Bi-products of REDD+>* Prevent erosion* Protect people from flood &drought* Share the benefit among people* Thus, help people get out frompoverty

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Grant Aid: JPY 0.7billion
By Ministry of Foreign
Affairs of Japan(Fund Management
Contract with ‘Crown
Agents’ of Japan)

DNTF & JICA Advisor:
Policy Planning,
Implementation, Facilitation

DNTF
NationalDirector

JICA
Advisor

Chief of Natural
Resource Inventory
Staff, Field Staff- Purchase satellite
images, equipment,
vehicles (includinginstalling & user
training & maintenanceservices)

Technical cooperation
project between DNTF
and JICA

DNTF-JICA
Project will
use thegoods andfacilities set
by Grant Aid- Capacity development
to establish a forest
resource database andinformation platform
and to conduct
monitoring by remotesensing and groundsurvey, and to produce
RL/RELProposed Overall Structure of the Project inMozambique[Establishment of Sustainable Forest Resource Information Platform for Monitoring REDD+] :Executing Agency: Mozambique DNTF
1. Database System functioning as theForest Resource Information Platform isestablished.
Japan Grant
Aid:- SatelliteImages- GIS facility- Survey
equipment

2. Basis of MRV for the Forest Resource
Information Platform is developed.
(MRV: Monitoring, Report and Verification)

3. RELs/RLs for the Forest Resource
Information Platform are created.

In the future
Cooperation/Coordination
withother relevant
initiatives &projects
onREDD+

4. Data set of biomass and carbon estimate
is prepared.
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Mining andagriculturearea data

Past remotesensing dataand images,
historicalchanges

ForestInformation
Platform inServer

Land use
data

Computers

Forestinventorydata

Protected
area data

A product of pansharpened, misacted,
colour coded, geocoded nationwide
satellite image

Plantation
area data

Concession
area data

Purchasedby Grant
AidSoftware

GPS-GIS Database Experts
172. Developed the base of MRV to sustain theforest information Platform
2.1 Develop capacity in Remote Sensing to detect forest
cover changes using SAR in 2 provinces (Gaza andTete)
2.2 Establish on the ground monitoring system andimplement••

Establish inventory system in 2 provinces and each

2 target districts in the 8 provinces
Establish the monitoring systems in each 2districts for the 10 provinces

Geographicinformation

Forest Utilization
Plan + MonitoringPlan

Provínces
MaputoGaza
Inhambane
ManicaZambezia
Tete
SofalaNampulaNiassaCabo Delgado

Deforestation/ForestDegradation
Detection & Report
Training (GPS, GIS)

Check ground data withsatelitte images ( MODIS)and update base Map

Forest Inventory
ExpertDistrict 1
Matutuine
BileneMaboteGondolaMurrumbala
Moatize
Golongoza
MecuburiNuembeAncuabeDistrict 2
MagudeＭａｂａｌａｎｅVilanculo
Macossa
Gile
Tsangano
Cheringoma
Mossuril
MajuneMontepuez

SDAE*

GPSreport

SPFFB**

SurveyReport

DNTF HQ***

GPS-GIS Database Experts<Note>*SDAE: districtal service of economical activity (Agricultura, Forestas, etc)**SPFFB: Provincial service of forest and wild life***HQ: Department of Natural Resourcwe Inventory18

3. Create RELs/RLs for Natural Forest Resource Information Platform

1994

2000

2005

2010

4. Prepare data sets for biomass and carbon estimation

2= 0.8345（kg/ha）

haあたり材積R

haあたり空間体積（m3/ha）

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Indicators◦ Ecological zones;◦ Distance;
Monitoring target of each forest◦ Deforestation;◦ Degradation;◦ Afforestation;◦ Conservation;
Identification of the driving force of DD and DF◦ DD

Increasing demand for biomass energy

Hunting, particularly the use of fire in land clearing◦ DF

Clearence for agriculture;

Mining and infrastructure development including expansion of urban areas;Shifting cultivation;20

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Accuracy level to identify the area/scale/classification◦ accuracy should be between 86% -90%;◦ land cover map at scale 1: 50 000;

Approach to identifying areas◦ Wall to wall (accordingly to the forest type);21

joaquimmacuacua@gmail.com
aa182877@yahoo.com.br

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