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