INTEGRATED LAND USE ASSESSMENT (ILUA) · INTEGRATED LAND USE ASSESSMENT (ILUA) – ZAMBIA JUNE 2005...

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INTEGRATED LAND USE ASSESSMENT (ILUA) 1LUA A.C.M. Mas inja ( Mrs.) FORESTRY DEPARTMENT INTEGRATED LAND USE ASSESSMENT (ILUA) REPUBLIC OF ZAMBIA UPDATE - BRIEF Jackson M. MUKOSHA

Transcript of INTEGRATED LAND USE ASSESSMENT (ILUA) · INTEGRATED LAND USE ASSESSMENT (ILUA) – ZAMBIA JUNE 2005...

Page 1: INTEGRATED LAND USE ASSESSMENT (ILUA) · INTEGRATED LAND USE ASSESSMENT (ILUA) – ZAMBIA JUNE 2005 – JULY/OCTOBER 2008 ... Example of Data Analysis (Biophysical Vs Socio -economic

INTEGRATED LAND USE

ASSESSMENT (ILUA)

1LUA

A.C.M. Mas inja (Mrs.)

FORESTRY DEPA RTMENT

INTEGRATED LAND USE ASSESSMENT (ILUA) REPUBLIC OF ZAMBIA

UPDATE - BRIEF

Jackson M. MUKOSHA

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INTEGRATED LAND USE ASSESSMENT (ILUA) – ZAMBIA

JUNE 2005 – JULY/OCTOBER 2008

• The MTENR is undertaking a National Integrated Land

Use Assessment Project (ILUA) with financial and

technical assistance of the FAO. (TCP/ZAM/3007 – A);

• FAO Netherlands Partnership program (FNPP);

• Finnish Government through a trust fund,

GCP/ZAM/065/FIN; and

• The Government of the Republic of Zambia.

ILUA Objective

• Assist Zambia land use institutions to develop and strengthen their capacity to collect, compile, and process and disseminate reliable up-to-date information to policy makers;

• Plan and carry out national land use assessment

• Develop up-to-date integrated land use information system; and

• Set up a long term land use monitoring system.

ILUA - Concept

ILUA

Remote Sensing

Field Survey(local interviews / measurements)

IS

Qualityinformation

National policy development

Sustainable resources

management

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Coverage

The project covers the w hole country;

Comprises of three phases:

- preparatory;

- f ieldw ork; and

- information system development

The project is now in the f inal phase of data analysis and reporting.

The data collection includes:

- forest resource;

- crops;

- livestock; and

- social economic data.

STAKEHOLDERS INV OLV ED IN ILUA

• Lead Institution is Forestry Department, Ministry of Tourism,

Environment and Natural Resources.

• Collaborating Institutions:

� Agriculture, (Ministry of Agriculture and Cooperatives).

� Survey, (Ministry of Lands).

� Central Statist ical Off ice, (Ministry of Finance and National Planning).

� ZAWA, (Zambia Wildlife Author ity)

� Fisher ies

� Water Affairs Department

� Univers ity of Zambia

� Copperbelt University

� Local Government, (Councils)

� Zambia Forestry College

� NGOs

Distribution of tracts for the Integrated Land Use Assessment inDistribution of tracts for the Integrated Land Use Assessment in ZambiaZambia

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10

mSubplots

Household surveySubplot Level 2

(SPL2)Subplot Level 1

(SPL1)

Plo

t 1

Plo

t 3

Plot 4

250 m

500 m

1 Km

1 K

m

Plot 2

Tract

Tract X,Y coordinates

10

m

Plot central line

××××

.

(+ 10m)(-10m)

20m

Towards end of the

plot

3.99 m

SP3L 1 a n d

SP3L 212

5 m

Plot

250 m

20 m

Plot starting point

Plot orientat ion

SP2L 1 a n d

SP2L 2

SP1L 1 a n d

SP1L 2

Plot end poin t

Measurement Point (MP)

Tract, Plot and Subplot DesignTract, Plot and Subplot Design

Scope of the Integrated Land use Assessment (ILU A)Scope of the Integrated Land use Assessment (ILU A)

1.

PEOPLE

Crop

Information

Population

Information

Accessibil ity to

Services

Knowledge

(Legislations)

Livestock

production

ECOSY STEM

Forest Products

and Services

Land use &

Forest Types

Environmental

Problems

Soils texture

and Drainage

General Land

Management

1. Biophysical (Variables) Data

2. Socio-economic (Variables) Data

0

2 0

B a d

2 0

B ad B a dU n s u s t a i n a b l e

4 0

P o o r

4 0

P o o r P o o rA lm o s t u n su s ta in a b le

6 0

M e d iu m

E C O S Y S T E M W E L L B E IN G

6 0

M ed iu m M e d iu m

80

O K

8 0

O K O KA lm o s t s u s t a in a b le

1 0 0

G o o d

1 00

G o o d G o o dS u s ta in a b le

HU

MAN

WE

LLB

EI

N

G

West ern

23

62

Lusaka

81

23

Copperb elt

62

36

Southern

68

27

North-w est ern

42

79

Cent ral

50

38

North ern

35

72

Luapula

40

46

East ern

46

60

Example of Data Analysis (Biophysical Vs SocioExample of Data Analysis (Biophysical Vs Socio--economic Data)economic Data)

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Prov inces in Zambia

Land Area (ha) Wooded Area (ha)

% Cov er

Central 9,450,438 4,913,115 52.0

Copperbelt 3,244,377 1,893,522 58.4

Eastern 7,004,411 5,128,460 73.2

Luapula 6,368,106 3,162,225 49.7

Lusaka 2,283,401 986,260 43.2

Northern 14,791,385 8,023,022 54.2

Northwestern 10,730,419 8,915,325 83.1

Southern 8,739,283 5,101,232 58.4

Western 12,649,580 8,433,420 66.7

Total 75,261,400 46,556,581 61.9

Source: ILUA Land cover map (2005 landsat Images)

Inland Water (Land

under water)

4%

Forested area

62%

Other Land (Bare rock

+ Cultivated + Buil t-up

land)

34%

Province Land Area (ha) Cultivated Area (ha)

Central 9,450,438 2,767,876

Copperbelt 3,244,377 730,178

Eastern 7,004,411 1,368,143

Luapula 6,368,106 1,467,175

Lusaka 2,283,401 659,867

Northern 14,791,385 3,575,413

Northwestern 10,730,419 727,004

Southern 8,739,283 2,259,323

Western 12,649,580 1,550,124

Total 75,261,400 15,105,104

Area of cultivated land per province

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Previous inventories, growing

Stock

Total Growing Stock in Zambia, billion m3

0.000.501.001.502.002.503.003.504.004.50

ZFAP, 1996 Forest

Support

Programme,

2004

Global Forest

Resource

Assessment,

FAO 2005

ILUA, 2008

Main Land Cover Classes

ha %

Total Forest area 41,729,000 66%

Total Other Wooded Land 4,828,000 8%

Total Other Land 25,641,000 21%

Inland Water 467,496.91 5%

Land cover classes

Land Cover Classes, ha

789,826

34,252,150

15,093,179

358,707

0

0

1,116,685

4,723,533

8,381

5,870,054

1,619,880

4,568,652

227,628

447,546

2,302,429

6,705

531,356

2,598,111

746,580

0

5,00

0,0

00

10,000,

000

15,000,

000

20,000,

000

25,000,

000

30,000,

000

35,000,

000

40,000,

000

E vergreen Natural Forests

Deciduous Natural Forests

Broadleaved Planted Forests

Shrub Area

Barren Lands

Mars hlands

Perennial Crops

Fal low Areas

RuralAreas

Rivers

ha

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Area of major National Land Ownership

Commercial volume

Commercial V olum e in Forests, m3/ha

0.0

2.0

4.0

6.0

8.0

10.0

12.0

14.0

16.0

Central Copperbel t E astern Luapula Lusak a North

Western

Northern Southern W estern

Forest Disturbance level

Fore st Disturbance le vel, %

0

0.05

0.1

0.15

0.2

0.25

0.3

0.35

0.4

A rea Forest Not Disturbed Area Forest Sl ightly Dis turbed Area Forest Moderately

Dis turbed

Area Forest Heavi ly Disturbed

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Province Central Copbelt Eastern Luapula Lusaka Northern NWestern Southern Western

2005 52 58 73 50 43 54 83 58 67

2000 55 62 73 52 61 52 88 59 66

1990 66 65 76 52 62 53 89 80 67

Land Change between 1990 - 2005

Land Change between 1990 - 2005

Distribution of Agriculture land

Sum O f Count O f

201 Household

Number

Sum of

Total Agr

Land

Assessed

Agr under

Title Deeds

Agr

under

Customa

ry

Agr

rented

Land

Agr land

not

classified

1680 22,477.1 7,609.5 3,960.3 20.8 10,886.6

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Distribution of Agriculture land

Modeled distribution of total household income

Proportion of Land area allocated to Cult ivation of various Crops by the sample

Households

Wheat

0%

Maize

25%

Rye

0%Millet

8%

Rice

2%Beans

10%

Soybeans

2%

Groundnuts

15%

Sweet pot atoes

7%

Irish potat oes

1%

Cassava

14%

Other annual food crop

3%

T obacco

0%

Sunf lower

1%

P apr ika

0%

T ree nurseries ornamental

0%

Guava

0%

Cott on 4%

Sorghum

5%

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Livestock Species owned by sample Households

Cat tle-Young Sto ck

4%

Cattle- Weaners male

1 %

Catt le-Weaners female

1%

Catt le-Adult male

3 %

Cat tle-Adult female

10 %

Catt le-Oxen

3%

Sheep

1%

Goats

1 2%

Pigs

6%

Ch ik en -Lay ers

1 %

Ch ik en -Broiler s

0%

Chiken-Fr ee Ran ge

5 5%Turkeys

0 %

Ducks

1%

Other Poult ry

1%

Guinea Pigs

0%

Rabbits

0 %

Level of Agriculture Input Utilization

Use of household inputs, % of total households

3 9.5

4.6

13.6

39.7

11.46.4

12.1 11.2

0.64.6

0.0

5.0

10.0

15.0

20.0

25.0

30.0

35.0

40.0

45.0

Hired

person

labour

Feeds,

fodder, etc.

Veterinary,

drugs etc.

Tools Spareparts ,

m ainetance

etc.

Hi ring of

power

source,

animals etc.

Transport,

storage

Ferti lizer,

Her bisides,

pesticides,

etc.

Irrigation

facil ities

Other

Policy implications

• Based on this analysis of ILUA data which was carried out in order to identify the required key information to link it to relevant national policies and action plans related to agriculture and forestry, the study offers the following policy implications:

• The country has a large population under extreme poverty. Even though poverty is widespread, the majority of people in Zambia who are affected by high poverty levels are predominantly found in rural areas. The country’s poor and non-poor are closely associated with agriculture and the greatest gains on poverty reduction can be achieved through stimulating an efficient agricultural sector. This is further reinforced by the observation that the periods of highest economic growth in most developing countries coincide with the periods when agriculture was most vibrant. This observation in itself implies that for anti-poverty programmes to achieve the intended, they have to be designed and implemented in a manner that takes into account the large presence of the chronic poor in rural areas. There is need to design poverty reduction programmes that favourthe agricultural sector.

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Income distribution vs urban and rural areas

Deforestation vs urban and rural areas

First Impression First Impression –– Remote Sensing Products From the Mapping ComponentRemote Sensing Products From the Mapping Component

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WAY FORWARD (beyond field data collection, analysis and outputs),GRZ and Cooperating Partners can lead further support and addedvalue: Extension of ILUA Phase one

• Filling gaps in information of ILUA

- Complete ILUA database with reliable information for various uses

- Increase sample size in selected provinces

• Dissemination of ILUA information

- Agreed data sharing policy for ILUA data; Operational “one-stop-shop” also use of

CD, Internet

- Link web-based ILUA site to/from livestock censu s data and population census etc

• Improved data by Remote Sensing methodological development and testing for

monitoring of forest biomass and forest degradation

- Human capacity in collecting and analyzing data for REDD and carbon balance

accounting

• To stimulate the implementation of best practice guidelines in (fire management,

timber harvesting, tree planting, carbon accounting etc

THANK YOU FOR

YOUR TIME