6 th regional coordination meeting amman - november 11-12, 2014 water management strategies and...
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6th Regional Coordination MeetingAmman - November 11-12, 2014
Water Management Strategies and potential impacts on Livelihoods in
(TUNISIA)
WLI Goal and national policy
Please insert a picture that represents your work
Overall Goal: to improve the livelihoods of rural households and communities in areas where water scarcity, land degradation, and associated problems are prevalent.
Intended Outputs: 1. Assessment of climate change effects on agro-systems2. Management tools for Integrated water and land use3. Enhanced knowledge, skills and qualifications for key stakeholders. 4. Tools for assessment of rural livelihoods improvements
National Policy Objectives in Tunisia : 1. Increasing the income per capita and reducing poverty2. Enhancing food self-sufficiency3. Water saving and rational use of natural resources
Improvement of water management in rangeland and crop-based production systems through field testing, adaptation and monitoring effects of water harvesting, irrigation management and using saline water to improve crop and livestock productivity.Quantification of benefits from improved interventions and adaptation measures in terms of water savings and enhanced benefit/cost ratioAssess future scenarios for Global Climate Change (GCC) and impacts on water resources, agriculture, and livelihoods for consideration by decision-makers
Capacity building for implementation, analysis and assessment of all adaptation measures
Outscaling and dissemination of outputs to other areas in Tunisia and WLI partnering countries
Research themes
ASSESS FUTURE SCENARIOS FOR GCC AND IMPACTS ON
WATER RESOURCES, AGRICULTURE, AND
LIVELIHOODS
WATER MANAGEMENT IN RANGELANDS AND CROP PRODUCTION SYSTEMS
QUANTIFICATION OF BENEFITS FROM IMPROVED
INTERVENTIONS AND ADAPTATION MEASURES
Capacity building
Post doc placement in US Laboratories
Trainings
Outscaling andDissemination
Workshops and seminars
Publications
Description of the 3 sites
S3 : South
150,000 ha
Range 150-230 mm
Small irrigation schemes (Fruit trees, Vegetables)Water harvesting
50,000 inhabitants
5 (3-10 ha)
S1 : North
50km x 50 km
450 mm
Durum wheat, Citrus
S2 : Centre
740,000 ha
240 mm (80-2000)
Barley LivestockCactus
410,000 inhab.
2914 ha
2241 hab. (2002)
8 (1-2 ha each)
Site
Surface area
Rainfall
Targeted Agrosystem
Population
Benchmark site surface area
Population
Pilot sites
Mechanisms for Community Inclusion
Site Advisory Group Members
CRDA Médenine
CRDA Sidi Bouzid
CRDA Nabeul
CTA Béni Khalled
• Please insert a picture here
Associations Benefitted (FTF indicator)
Farmers, NGOs
Farmers, NGO
Farmers
Farmers
Distribution characteristics of Temperature have been determined for the northern site using historical data (1911-2000), focus on January.
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1 2 3 4 5 6 7 8 9 10 11 12
mean1925mean1955mean1985
T(°C)
months
1911-19401941-19701971-2000
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10
12
14
8 10 12 14
jan1971-2000jan1941-70
Q-Q plotvs 1911-1940
T(°C)
T(°C)
Quintile to quintile plot for the coldest month (January), showing a steady increase in temperature over the last century. Distribution statistics will be used for correcting ARPRGE forecasts of CC.
Calibration and validation of SWAT model for Oued Rmel watershed
Precipitation series
Case study of Wadi Rmel , nothern Tunisia. Work on rainfall-runoff simulation using two rainfall-runoff models GR2M and SWAT
Canal-water uptake by farmers in the citrus growing area of Benikhalled (Nabeul governorate), showing an important shift in the frequency of exceedence over 2013.
0.0
0.2
0.4
0.6
0.8
1.0
0 2000 4000 6000 8000
Freq
uen
ce o
f exc
eed
ence
Irrigation m3/ha
2011
2012
2013
ETc = 7600 m3/ha
I. requierement =5000m3/ha
Climate change and its impacts on barley production : Case of Sidi Bouzid
Growing season rainfall evolution (mm) RCP4.5 RCP8.5 2020-2030 -6% +11%
2050-2060 -13% -2%
2080-2090 -37% -26%
Barley yield evolution RCP4.5 RCP8.52021-2029 +58% +32%
2051-2059 +24% -22%
2080-2090 -39% -3%
•Annual rainfall (1999-2013) : 229 mm•Average growing season rainfall: 160 mm (observed)
•Barley grain yield (2002-2013) : 277 kg/ha (observed)
(An
na
bi p
rilim
ina
ry r
esu
lts)
GCM= HadGEM2-ES/ Crop model= DSSAT
- Various effect of rainfall patterns change with interaction with CO2 level increase (RCP4.5<RCP8.5) and with other weather parameters: T (+2-4°C)…; - Uncertainties Need to Compare several GCMs ongoing with MRI-CGCM, IPSL)
ETc .75(ETc) .5(ETc) Farm's0
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300F
ruit
s n
um
ber
/tre
e LSD(5%)=31.6
Relationship between water deficits and orange production in dry environments. Experiment conducted in a drip irrigated orchards, situated in Megarine (governorate of Medenine).
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SW
B1
00
DI7
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FM
SW
B1
00
DI7
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FM
SW
B1
00
DI7
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FM
SW
B1
00
DI7
0
FM
Potato Carrot Green bean (Luzdi otono)
Green bean(Local)
Treatments
IWP
(k
g/m
3)
2013-2014
LSD (5%)Carrot, 2.077Potato, 1.277
Green bean Luz, 2.114 Geen bean L, 1.997
DI WPCarrot, 25%Potato, 24%
Green bean, 30-33%
FM WP Carrot, 38%Potato, 45%
Green bean, 30-32%
0
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2500
Rainfed condition Irrigation conditionCrop
Gra
in y
ield
(kg/
ha)
0
1000
2000
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5000
6000
Rainfed condition Irrigation conditionCrop
Biol
ogic
al y
ield
(kg/
ha)
Yield components
Grain yield of barley (kg/ha) under different scenariosadaptation tested
Biological yield of barley (kg/ha) under different scenariosadaptation tested
Barley Durum wheat Barley with cactus as alleys (alley
cropping)
Barley with olives tree as alleys (alley
cropping)
Mixture barley/vetch
012345678
Rainfed condition Supplemental irrigation condition
Crop
g-W
UE (k
g/m
m/h
a)
Barley Durum wheat Barley with cactus as alleys (alley
cropping)
Barley with olives tree as alleys (alley
cropping)
Mixture barley/vetch
02468
101214161820
Rainfed condition Supplemental irrigation condition
Crop
b-W
UE (k
g/m
m/h
a)WUE
Grain-WUE of barleyunder different scenariosadaptation tested
Biological-WUE of barleyunder different Scenarios adaptation tested
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CA CV
Gra
in y
ield
(kg/
ha)
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CA CV
Biol
ogic
al y
ield
(kg/
ha)
Yield components
Under rainfed condition
Under Supplemental irrigation
Barley Durum wheat5
5.2
5.4
5.6
5.8
6
6.2
6.4
6.6
CA CVCrops
Grai
n yi
eld
(kg/
ha)
Barley Durum wheat0
2
4
6
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CA CVCrops
Biol
ogica
l yie
ld (k
g/ha
)
WUE
Under rainfed condition
Under Supplemental irrigation
Barley Barley with cactus as alleys (alley cropping)
Durum wheat0
1
2
3
4
5
6
CA CV
g-W
UE (k
g/m
m/h
a)
Barley Barley with cactus as alleys (alley cropping)
Durum wheat0
2
4
6
8
10
12
14
CA CV
b-W
UE (k
g/m
m/h
a)
Barley Durum wheat5
5.2
5.4
5.6
5.8
6
6.2
6.4
6.6
CA CVCrops
g-W
UE (k
g/m
m/h
a)
Barley Durum wheat02468
1012141618
CA CVCrops
b-W
UE (k
g/m
m/h
a)
Understanding and improving Livelihoods : Cost benefit analysis of agricultural adaptation options to climate change
RESULTS : COMPARISON BETWEEN DIFFERENT ALTERNATIVE LAND USES IN RANGELANDS : CASE OF
ZOGHMAR
Net present value (NPV) (8%, 20 years) in TND/ha - 2013
Alternative land uses Farmer’s perspective National perspective
Cactus 1220 726Cactus in alley + pasture 1669 800Cactus in alley+ barley 1913 366
Non intervention : Rangelands
This analysis confirms that integrated livestock, crop and forage net income is more climate resilient.
RESULTS : COMPARISON BETWEEN DIFFERENT ALTERNATIVE LAND USES IN RANGELANDS : CASE OF
ZOGHMARNPV (8%, 20 years) in TND/ha - 2013Non intervention : Rainfed barley
• Irrigation constitutes the best adaptation alternative at farm perspective, but better information is needed to assess the cost of water degradation.
Farmer’s perspective Social perspective0
1000200030004000500060007000
Cactus Cactus in alleyCactus in alley cropping with barleyIrrigated barley
RESULTS : IMPACT OF CACTUS FEEDING ON FARMER’ INCOME
Sheep breeding (no cactus feeding)
Integrated Sheep breeding + cactus
0
500
1000
1500
2000
2500
3000
3500
4000
Gross margin/household (TND/year)
RESULTS : PROFITABILITY OF OLIVE TREES PLANTATION AT FARMER, NATIONAL SOCIETY AND GLOBAL COMMUNITY
PERSPECTIVE : CASE OF ZOGHMAR
NPV (8%, 60 years) in TND/ha - 2013
Farm
er persp
ective
National persp
ective
Global persp
ective
-4000
-3000
-2000
-1000
0
1000
2000
3000
Olive tree plantation in rangelandsConversion of barley to olive tree plantationConversion of barley to olive tree plantation in irrigated areas
IRR % Observed
Private perspective 24%Social perspective 23%
NPV (DT)
Discount rate 12% 10% 8% Costs + 10 % Benefits - 20 %
Private perspective 2491 3615 5231 2340 1691
Social perspective 2073 3027 4402 1910 1333
Case study 2 : Water harvesting techniques investment at farm level
Net Present Value (30 years), WHT investment
Sustainable Livelihoods Approach (SLA)
Natural capital Financial capital Physical capital Human capital Social capital
LivestockFarm seizeLand qualityWater qualityOlive trees
Agriculture incomeLivestock incomeOff-farm income
JessourOwnership of plowing means
Education, Household seizeAgeHouseholds expenditure
Member of association, Distance to nearest hospital , Certificate of Ownership, SONEDE network
List of indicators by type of livelihood capital
Naturel capital
Financial capital
Physical capitalHuman capital
Social capital
0
20
40
60
80
100
Total watershed
Social capital is the most dominating capital followed by physical capital.Financial capital seems to be not representative due to the low agriculture and livestock incomes. Projections indicate that the livelihood assets will be changed during 2013-2030 period : Physical, human and social capital will be improved with very little increment in financial capital. Natural capital will slowly decrease.
POST DOC PLACEMENTS IN US LABSCandidate M. Annabi F. Mokh N. SghaierOrganization INRAT IRA INAT
Hosting Lab Vegetable and Forage Crop Research Unit (USDA-ARS, Prosser, WA)
Conservation and Production Research Laboratory (USDA-ARS, Bushland, Texas)
USDA-ARS Hydrology and Remote Sensing Laboratory (Beltsville, MD)
Supervisors Dr Ashok Alva Dr. Paul D. Colaizzi Dr .Martha Anderson
Period Jan-Mar14; Jul-Sep14 Jun-Nov14 Sept14-Feb15
Topic Estimating the effect of the future climate change on durum wheat productivity in Northern Tunisia and the potential benefits of conservation agricultural and sowing date advancing
Irrigation management and crop water modeling
Performance evaluation of ALEXI Evapotranspiration model in Northern Tunisia
TRAININGS
• Aquacrop Training in partnership with FAO; WLI Modeling Thematic Group, Cairo (August 24-28, 2014)
• Regional Training Workshop on Cost Benefit Analysis, Thematic Group: Economics of Natural Resources Management, Amman - Jordan (June 24-25, 2014)
• Catalyzing Change through the Impact Pathway and Theories of Change; WLI Socio-Economic Thematic Group, Amman (April 16-17, 2014)
DEGREES
MSc theses, PhD theses, etc.
FUTURE PROSPECTS
Modelling:• CC model downscaling• Adaptation, calibration and validation of used models
Monitoring• More advanced field monitoring equipments and methods • Use of RS techniques for spatial analysis
Practices• Test the various practices: irrigation scheduling, deficit, irrigation,
WH-SI, intercropping, conservation agriculture, etc.• Try other innovative practices
Economic and social studies• Social acceptance and farmer willingness• Economic evaluation of adaptation options • Assessing the impacts on farmer incomes and livelihood• Water resources allocation
Capacity building, exchanges and networking• Post doc and researchers exchanges in both directions• Networking with US Labs and Univ.• Provide advanced trainings on specific topics
Dissemination and Outreach• International IF journal papers• Books• Interactive decision making tools (portals)• Extension tools and materials
Draft Workplan for 2015: Accelerated Schedule
2015 2014
12 11 10 9 8 7 6 5 4 3 2 1 12 11
Improve Water Mgt Strategies
Monitoring / Modeling
Reporting
Publication
Improve Livelihoods
Data analysis & reporting
Publication
Exchange Knowledge
Stakeholder workshops/trainings
Publication
Quarterly & Annual Reporting
Monitoring WLI Indicators
National Research Teams
IRA INRAT INAT
Bio-physical Component
Houcine KhatteliMohamed Ouessar Kamel NagazMongi Ben ZaiedFathia El MokhAmal HachaniAbderrahmen Sghaier
Mohamed Ben HammoudaMohamed AnnabiHatem Cheik MhamedSalah Ben Youssef
Netij Ben MechliaHammadi HabaiebMoncef MasmoudiNabil SghaierAsma LasramNawal Temani Zayani
Socio-economic Component
Mongi SghaierMohamed AbdeladhimRiadh Bechir
Hamed Daly-HassenNajoua Esaaidi, EngineerMaher Bel Haj Kacem, Engineer student
Thank you
Local stakeholders
South Centre North
CRDA MédenineFarmersLocal NGOs
CRDA Sidi BouzidFarmers
CTA Béni KhalledGDAFamers
US Labs Vegetable and Forage Crops Production Research Lab, Prosser, Washington
Soil and Water Management Research Lab, Bushland, Texas
Hydrology and Remote Sensing Lab, Beltsville, Maryland (in partnership with NASA on MENA WISP Project)
Dr Ashok Alva Dr. Paul D. ColaizziDr Steve Evett
Dr .Martha Anderson