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Tanzania Forest Indicators

Drivers of Deforestation and Degradation

Who is Monitoring

Monitored by Ministry of Agriculture, Ministry of Planning, Economy and Empowerment (Monitoring of National Strategy for Growth and Reduction of Poverty – NSGRP, also known as MKUKUTA)

How is it Monitored

  • Crop productivity aggregated at four governance levels: village, district, regional and national
  • Shifting arable land with changes in temperature and precipitation as detailed in the National Investment Centre (NIC) and NAPA documents
  • Changes in cropping patterns (mono-crop vs. mixed) farming, timing (earlier or later), crop types, seed varietiesfertilizers, pesticides and herbicides
  • Percentage change in food crop production Ministry of Agriculture and Food Security (MAFS)
  • Percentage of smallholders using modern methods of farming (irrigation, fertilizers and improved seeds) National Bureau of Statistics (NBS)
  • Percentage of households whose main income is derivfrom harvesting, processing and marketing of natural resources products National Bureau of Statistics (NBS) or Ministry of Natural Resources and
  • Percentage of smallholders who have one or more off-farm income generating activities National Burea of Statistics
  • Percentage of smallholders who accessed formal credits for agricultural purpose (NBS)

Who is Monitoring

Tanzania Forest Services and National Bureau of Statistics HBS/National Census

How is it Monitored

  • Revenues from sale of forest products
  • Information related to illegal activities and changes in forest utilization
  • Percentage change in proportion of rural households reliance on forest products
  • Adoption of alternative livelihood activities

Who is Monitoring

Ministry of Planning, Economy and Empowerment, Ministry of Energy and Tanzania Forest Service

How is it Monitored

  • Percentage increase in number of customers connected to the national grid and off-grid sources of electricity Ministry of Energy and Minerals (MEM), National/Stations
  • Percentage of households in rural and urban areas using alternative sources of energy to wood fuel (including charcoal) as their main source for cooking NBS
  • Energy generation capacity by source (hydro, wind, solar, gas)
  • Percentage of population connected to the national grid
  • National energy generation capacity
  • Number of projects/programs on alternative energy sources
  • Proportion of households dependent on forests for energy resources

Who is Monitoring

Tanzania Forest Service

How is it Monitored

  • Hectares of land under forest fire annually

Roads generally result in increased deforestation and degradation (Nepstad et al. 2001). They make the transport of goods possible and economically viable, linking resources and producers to markets at lower costs

A large proportion of the population depends on forests in some way for their livelihoods or for their fuelwood, this consequently puts pressure on forests and land


Source: Adapted from Excellensia Consulting (2010)

Ecosystem Types

Ecosystem type

Main regions

Acacia savanna

Shinyanga, Singida

Coastal forest

Lindi, Mtwara, Pwani

Eastern Arc/montane forest

Iringa, Morogoro, Tanga

Guinea-Congo

Kagera, Mwanza

Miombo woodland

Manyara, Morogoro, Tabora

Miombo woodland

Iringa, Morogoro, Tabora

 

Estimated emissions

Forest Change Statistics

Forest change statistics (2002 – 2013) for Tanzania Mainland

 

No.

Change class

Area (x 1,000 ha)

Annual loss (ha/yr)

1

Forest

32,000.9

 

2

Deforestation

6,406.70

582,427.27

3

Non forest

47,595.3

 

4

Wetland

4,506.9

 

5

Water

1,697.3

 

6

No data (clouds/shadow)

304.9

 

Forest change statistics (2004 – 2012) for Zanzibar Island

Forest Cover Types

Vegetation Type

Eastern

Southern

S. Highlands

Central

Lake

Western

Northern

Forest: Humid montane (ha)

274,823

70,169

175,622

38,544

194,815

24,023

418,916

Forest: Lowland (ha)

681,772

610,118

65,340

2,802

16,924

240,331

91,141

Forest: Mangrove (ha)

153,423

37,899

-

132

-

68

2,081

Forest: Plantation (ha)

16,180

3,095

558,227

2,559

85,427

10,533

44,605

Woodland: Closed (> 40%)

1,822,100

1,847,086

838,212

763,517

537,505

1,869,029

363,751

Woodland: Open

(10-40%)

5,045,878

8,140,873

8,707,824

2,945,331

2,843,421

4,896,585

3,517,603

Forest and woodland total

7,994,176

10,709,239

10,345,226

3,752,886

3,678,091

7,040,570

4,438,097

Forest Ownership

People and Economy

(a) Employment

7,000 people are directly employed by the forestry sector, according to 2011 FAO data.

(b) Economic Value

The forestry sector contributed USD 612.9 million to the economy in 2011, which is approximately 2.7% of the GDP.

Total Forest Cover

Trends in forest change from 1990 to 2010 showing an average loss of 403,328 ha per year

 

Total Forested Land

Forests include

  • Montane
  • Lowland
  • Mangrove
  • Plantation Forest

Woodland include

  • Open and Closed Woodlands
  • Thickets

 Woodlands occupy 93% of total forested land

Mozambique Forest Indicators

Carbon Stocks

Drivers of Deforestation and Degradation

Agents and Indirect Causes

  • Increased demand for agricultural products (tobacco, cotton, soybeans)
  • Infrastructure expanding
  • Political factors

Main degradation activities

  • Selective wood cutting
  • Firewood collection
  • Hunting
  • Pastures
  • Fires

Main deforestation activities

  • Large-scale production of sugarcane. producing vegetables, corn, soybeans, bananas
  • Small scale agriculture in a Outgrowing-system cotton, cashew, tobacco

Results

  • Deforestation for establishing the commercial agriculture and forest degradation

Agents and Indirect Causes

  • Population Growth
  • Increased domestic Demand for agricultural product
  • Technological Development

Main degradation activities

  • Selective wood cutting
  • Firewood collection
  • Hunting
  • Pastures
  • Fires

Main deforestation activities

  • Shifting cultivation
  • Yield crops
  • Residential Areas

Results

  • Deforestation for itinerant agriculture and Forest Degradation

Agents and Indirect Causes

  • The increasing international demand for wood and its derivatives
  • Political factors and governance
  • Population growth

Main degradation activities

  • Illegal logging
  • Firewood collection
  • Selective cutting

Main deforestation activities

  • Forest concessions (native wood)
  • Forest Plantations

Results

  • Deforestation for or extraction of timber and products derivates and Forest Degradation

Agents and Indirect Causes

  • Population Growth
  • Infrastructure expansion
  • Increased energy needs

Main degradation activities

  • Firewood collection
  • Coal Production
  • Collection

Main deforestation activities

  • Firewood collection and unsustainable charcoal production
  • Expansion of housing and infrastructure areas

Results

  • Deforestation by accumulation of impact over time collecting firewood and charcoal production and Forest Degradation

Agents and Indirect Causes

  • Population Growth
  • Economic Factors
  • Migration urban rural areas
  • Tourism
  • Political Factors

Main degradation activities

Main deforestation activities

  • Infrastructure expansion (eg roads, housing, tourist accommodation)
  • Industry expanding

Results

  • Deforestation for establishing urban Forest Degradation

Agents and Indirect Causes

  • Increasing international demands for minerals
  • Job search/migration

Main degradation activities

Main deforestation activities

  • Mineral extraction
  • Settlements in residential areas
  • Infrastructure for exploration and flow

Results

  • Deforestation related to mineral extraction Forest Degradation

Agents and Indirect Causes

  • Standard increase in the local population consumption
  • Animal products for domestic consumption
  • Technological Development

Main degradation activities

  • Pastures of small scale and in wooded areas
  • Firewood Production
  • Hunting
  • Fires

Main deforestation activities

  • Extensive grazing of cattle

Results

  • Deforestation r elated to the creation of cattle, goats, swine, birds and Forest Degradation

Ecosystem Types

Ecosystem type

Provinces

Mopane Forest

 

Gaza, Tete, Northern of Sofala &

Manica Province

Mecrusse Forest

Inhambane, Gaza, Nampula & Sofala

Mountainous Forest

Zambezia, Mania & Niassa

Mangoves Forest

Along the wetlands of Coastal Area

 

Forest Concessions Issued

Number of forest concessions issued per year, 1998–2010

Forest classification based on usage

  • Production Forests: 26.9 million ha
  • Conservation Forests: 8.9 million ha
  • Protection Forests: 4.2 million ha

People and Economy

(a) Employment

22 thousand people are directly employed by the forestry sector, according to 2011 FAO data.

(b) Economic Value

The forestry sector contributed USD 330.3 million to the economy in 2011, which is appoximately 2.8% of the GDP.

(c) Types of taxes by logging companies, annual revenues from 2012-2016

 

2012

2013

2014

2015

2016

Total in Mts

 

319.024.593

 

468.506446

 

572.970.033

 

347.057.986

 

446.037.024

 

Total in USD

 

4.519.402,08

 

6.637.008,73

 

8.116.872,54

 

4.916.531,89

 

6.318.699,87

 

Conversion rate USD$ 1 = 70.59 Mts

Statistics Derived from Forest Cover Map of 2007

Province

Total Area [km²]

Closed Forest Area

Open Forest Area

Agriculture w/trees Area

Shifting Cultivation Area

Manica

62,200

16,021.60

18,538.80

4,075.50

11784,3

Maputo

26,964

2,986.60

5,164.20

 

 

Cabo Degaldo

76,820

32,953.20

14,582.00

4,312.60

6633,5

Gaza

77,040

16,959.80

20,749.40

18,309.50

1847,9

Nampula

 

18,280.40

8,630.10

3,752.50

5074,8

Niassa

127,760

57,865.10

363415.3

6403.6

3,430.90

Sofala

68,712

8,538.30

19,958.50

7,791.30

9,373.20

Tete

100,088

19,659.10

22,407.70

18,798.00

5,428.60

Inhambane

67,260

10,999.40

12,057.30

16,466.50

8,566.30

Zambesia

101,284

43,011.40

5,467.10

8,089.10

15,369.50

Total

 

227,274.80

163,900.30

87,998.60

67,509.00

Timber Production

Product Type

Unit

2010

2011

2012

2013

2014

2015

Total

Main Destination

Logs

m3

22,846

35,426

41,543

54,296

147,517

148,093

449,721

China

Sawn Wood

m3

175,491.52

175,982

218,842

226,500

373,769

272,858

1,443,443

China, UK

Parquet (m3)

m2

542.25

109

49

15

169

1,891

2,776

China, South Africa, UK

Veneer (m2)

m2

119.09

102

79

81

129

97

607

China

Sleepers (m3)

m3

1,041.37

1,657

1,998

1,062

1,092

806

7,655

China, South Africa, Malawi

Wood panels

 

-

-   

36

55

9

20

120

China

Bamboo

st

-

307

-

-

-

307

China

Total Forest Cover

Between 1990 and 2010 Mozambique lost 10.0% of its forest cover, around 4,356,000 ha, whereby the average loss per year is 217,800 ha.

 

Uganda Forest Indicators

Carbon Stocks

Drivers of Deforestation and Degradation

Forest Ownership and Management

People and Economy

(a) Employment

12,000 people are directly employed by the forestry sector, according to 2011 FAO data.

(b) Economic Value

The forestry sector contributed USD 589.9 million to the economy in 2011, which is approximately 3.4% of the GDP.

Total Forest Cover

Trends in forest change from 1990 to 2010

 

Kenya Forest Indicators

Carbon Stocks

Comparison of public and community/private forests

Most of the forest land in Kenya is under community and private ownership (77%) while the rest are under public (23%). Private plantations cover 47% of the total forest plantation area, which is almost equal to the area of stocked plantations under public management (53%)

Drivers of Deforestation and Degradation

Direct Drivers

  • Inadequate application of basic silvicultural and ecological principles for forest management
  • Tragedy of the commons resulting in conflicts over natural resources

Indirect Drivers

  • Inadequate integration of the forest sector with other stakeholders
  • Unclear forest responsibilities and weak conflict-management capacity
  • Weak forest governance and institutions
  • Corruption, illegal logging, weak enforcement
  • Inadequate benefit sharing from forest resources
  • Diverse perceptions of importance of forests
  • Communal land tenure systems and their application
  • Lack of private ownership, unclear tenure and access to forest resources

Direct Drivers

  • Overgrazing and inadequate regulation of grazing in forest reserves and community lands

Indirect Drivers

  • More focus shifted to water towers, paying less attention to dryland woodlands, including the coastal and riparian forests

Direct Drivers

  • Clearing of forest for agriculture
  • Degradation of forest
  • Charcoal and fuel wood from unsustainable production
  • Infrastructure and urbanisation
  • Conversion of communal forest to agriculture
  • Mining within forest areas
  • Illegal logging

Indirect Drivers

  • Demand is higher than supply
  • Heavy bureaucracy and poor efficiency obstructing competitiveness
  • Limited knowledge of tree growing (and necessary silviculture) as an enterprise
  • Poverty, high prices for agriculture products, subsidised fertiliser, tax exemption for certain agricultural machinery resulting in unhealthy competition for land
  • Fixed timber prices at low levels
  • Rapidly increasing population has heightened the demand for land
  • Few or no livelihood options have created over dependence on agriculture and mounting pressure on forest lands

Direct Drivers

  • Poor uptake of new technologies
  • Poor awareness of deforestation impacts
  • Poor knowledge of tree planting

Indirect Drivers

  • Uncertain availability of timber and wood for processing enterprises
  • Low investment in wood processing resulting in ineffective processing

Direct Drivers

  • Unsustainable utilisation, including overgrazing
  • Conflict at multiple levels
  • Fires are deliber ate, accidental, poorly managed and they destroy forests
  • Wildlife damage impacting regeneration

Indirect Drivers

  • Traditional farming methods in a context of increased population and overstocking of animals


Source: National Forest Programme 2016 - 2030

Ecosystem Types

Ecosystem type

Main regions

High mountains
and high ranges

Elgon, Kenya, Aberdares,
Cherangani and Mau

Western plateau

Kabarnet, Kakamega, Nandi
and Trans-Mara

Northern mountains

Ndotos, Mathews, Leroghi, Kulal
and Marsabit
a

Coastal forests:

Arabuko-Sokoke, Tana, Kayas,
coral rag and mangrove forests

Southern hills

Taita Hills, Kasigau, Shimba Hills,
Chyulu Hills and Nguruman

Riverine forests

Tana and tributaries, Ewaso-Ngiro,
Kerio, Turkwell and Galana

Forest Estates

Land use area changes in Kenya

Land use

1990

2000

2005

2010

2015

Forest land

4,724

3557

4,047

4230

4413

Crop land

9,258

9661

9,868

10072

10276

Grassland

41,522

41654

41,496

41080

40664

Settlement

57

87

109

126

143

Other lands

1,004

1574

1,035

1044

1053

Wetlands

1,472

1504

1,482

1485

1488

Total area

58,037

58,037

58,037

58,037

58,037

People and Economy

(a) Employment

18,000 people are directly employed by the forestry sector, according to 2011 FAO data.

(b) Economic Value

The forestry sector contributed USD 365.1 million to the economy in 2011, which is approximately 1.2% of the GDP.

Statistics of Saw Mill and Plywood Industries

The demand for building construction, furnishing and other end uses for forest products have grown faster than the supply from Kenya’s forests, resulting in an increase in net imports. The two main direct value addition industries from wood from Kenya’s forests are saw mills and plywood industries

Industry

Number (2010)

Capacity  (2010) ('000m3)

Consumption  (2010) ('000m3)

Demand  (2020) ('000m3)

Saw

850

1000

855

1170

Plywood

4

95

80

118

 

 

 

Total Forest Cover

Between 1990 and 2000, Kenya lost approximately 1.2 million ha of forest land, equivalent to 25% of forest cover.

 

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