Bringing evidence to bear on negotiating ecosystem service and livelihood tradeoffs in sustainable agricultural intensification SAI in Tanzania Ethiopia and Zambia as part of the SAIRLA program Prepared by ID: 788712
Download The PPT/PDF document "SAI DECISION DASHBOARDS" is the property of its rightful owner. Permission is granted to download and print the materials on this web site for personal, non-commercial use only, and to display it on your personal computer provided you do not modify the materials and that you retain all copyright notices contained in the materials. By downloading content from our website, you accept the terms of this agreement.
Slide1
SAI DECISION DASHBOARDS
Bringing evidence to bear on negotiating ecosystem service and livelihood trade-offs in sustainable agricultural intensification (SAI) in Tanzania, Ethiopia and Zambia as part of the SAIRLA program
Slide2Prepared by
By Leigh Ann Winowiecki, Mieke Bourne, Sabrina Chesterman, Christine Magaju, Constance Neely, Tor Vågen, Faith Musili, Patricia Masikati
, and Hadia Seid (ICRAF), Boniface Massawe (SUA)
Further informationProject websitehttp://www.worldagroforestry.org/project/bringing-evidence-bear-negotiating-ecosystem-service-and-livelihood-trade-offs-sustainableDecision dashboards flyer
http://www.worldagroforestry.org/output/decision-dashboardsLinks to SAI Country dashboardshttp://landscapeportal.org/SairlaEthiopia/
http://landscapeportal.org/SairlaZambia/http://landscapeportal.org/SairlaEthiopia/SHARED stakeholder engagement process
http://www.worldagroforestry.org/shared
Slide3Section 1
Purpose: Introduce what is a Decision Dashboard and the Engagement Process around the Design of the Dashboards.Audience: Facilitators and Champions to provide a background. Section 2 Purpose: Demonstrate each module in the Dashboard.
Audience: Individual users of the dashboard and group sessions.Section 3
Purpose: Apply the Dashboards for Decision Making and ensure its sustainability.Audience: Facilitators working with stakeholders.
Slide4SECTION 1
Background for Facilitators on Decision Dashboards and the Engagement Process
Slide5SECTION 1 – Background for Facilitators on Decision Dashboards and the Engagement Process
Purpose of the guidelinesWhat is a decision dashboard and why is it usefulDashboard co-design process
Slide6Purpose of this Guide
To prepare facilitators to introduce new users and interested stakeholders to the SAI dashboards Guidance on interaction with the SAI Dashboard To elicit feedback on the sustainability and utility of the SAI dashboardTo identify mechanisms to raise awareness around the SAI dashboards
To establish a system for using the dashboards to facilitate discussions and encourage engagement around the use of evidence in decision making
Slide7What is a Dashboard?
Slide8Slide9Sustainable Agriculture Intensification (SAI) Dashboards
Tailored dashboards have been developed within the SAIRLA project
Ethiopia, Tanzania and Zambia each has its own dashboard co-designed by target users
Slide10How have the SAI dashboards been built?
SHARED Stakeholder engagement process which uses a specialized co-design framework to build the dashboards
Slide11Engagement Process for the
SAI DashboardDistrict-level WorkshopsUser interaction and feedback processBuilding of prototype dashboards
National-level workshops to present prototypesEngagement process with NLAs for continues feedback, capacity needs and embedding dashboards into planning and intervention processes on SAI
Slide12Slide13Initial district level (
Mbarali) SHARED workshop in 2016 http://www.worldagroforestry.org/sites/default/files/outputs/SAIRLA_MbaraliWorkshopReport_Feb2017_sm.pdfNational level SHARED workshop in 2017 http://www.worldagroforestry.org/sites/default/files/outputs/SAIRLA SHARED Workshop Report May 2017 Tanzania_final_0.pdf
Continuous engagements with NLA &partnersDistrict level meetings August 2018NLA meetings (quarterly)Beta version of the dashboard in 2018
SHARED Engagement Process for the SAI Dashboard –Tanzania I
Slide14Initial district level (
Ziway) SHARED workshop in 2016 http://www.worldagroforestry.org/sites/default/files/outputs/SAIRLA_ZiwayWorkshopReport_Feb2017_sm.pdf National level SHARED workshop in 2017 http://www.worldagroforestry.org/sites/default/files/outputs/ICRAF%20Report_Ethiopia%20SAIRLA%20National%20SHARED%20workshop_March%202017_final.pdf
Establishment of Core Dashboard TeamBeta version of dashboard 2018Continuous engagements with NLA &partnersNov 2018 – NLA meeting
SHARED Engagement Process for the SAI Dashboard – Ethiopia
Slide15Initial workshops at district level (
Solwezi) and then national level as well as local engagements to understand stakeholder networks, decision making processes2016 http://www.worldagroforestry.org/sites/default/files/outputs/SAIRLA_SolweziWorkshopReport_Feb2017_sm.pdf2017 http://www.worldagroforestry.org/sites/default/files/outputs/SAIRLA%20Report_Zambia%20SHARED%20National%20Workshop_May2017_final.pdf
Establishment of core group for dashboard development and initial scoping of available data 2018Placement of the initial information (SAI priorities, root cause mapping and stakeholder networks) on the dashboard - 2018The dashboard can be accessed at:
http://landscapeportal.org/SairlaZambia/SHARED Engagement Process for the SAI Dashboard – Zambia
Slide16SECTION 2
Facilitation Guide for using the Dashboards: Exploring each Module
Slide17Slide18To store, access, and share available SAI data online
To visualize data in a way that is easy and quick to understandTo view data on multiple topics at the same time to support decision makingTo enhance capacity to interpret, discuss and use dashboard data, including to support tradeoff considerations when planning SAI interventions and policies
Objectives of the SAI Dashboards
Slide19Three country-based SAI Dashboards
http://landscapeportal.org/SairlaTanzania/
http://landscapeportal.org/SairlaZambia/
http://landscapeportal.org/SairlaEthiopia/
ZAMBIA
TANZANIA
ETHIOPIA
Slide20Dashboard Interaction Session
WorkstationsDepending on the number of participants have workstations set up with a computer and the dashboard already loaded. Participants can also use their phones if needed. 4-6 participants per computer
Have the user guide printed next to the workstations to allow participants to refer to this Feedback form to capture aspects on missing data and user functionality
Slide21Interactive Session Flow – Exploring each Module
General Landing page – example from the Ethiopia dashboard
Root cause analysis – examples from the Ethiopia and Zambia dashboardsSocial network model – examples from all three dashboards
SAI prioritization – example from Ethiopia dashboard Land health module – example from the Ethiopia and Tanzania dashboardsClimate module – example from the Zambia dashboard Socio-economic module – example from all dashboards
SAI Interventions- examples from Tanzania and Ethiopia dashboard
Slide22There are currently eight modules in each SAI Dashboard
Socio-economic
Root cause analysis
Stakeholder mappingPrioritisation of SAI practicesSAI TrialsTrade-offs
Land HealthClimate
Slide23Landing Page – Ethiopia SAI Dashboard
http://landscapeportal.org/SairlaEthiopia/
Slide24Root Cause Analysis Module - Ethiopia
Select the root cause you would like to explore here
This graphic assesses the root cause of lack of coordination within institutions
Slide25Root Cause Analysis Module - Zambia
Select the root cause you would like to explore here
This graphic assesses the root cause of lack of stakeholder participation in Zambia
Slide26Stakeholder Network Module – Zambia National Network
The stakeholder maps show the
organisations
working on SAI.Use the key on the right to select to view the whole network, the network of one particular organisation, a type of
organisation or to view the network according to how frequency.These maps are interactive so you can drag the dots (organisations) around and hover or click on a dot to see the name. When looking at the maps, the arrows originate from the organisation
named and point to the organisation that was named as an SAI information source
Slide27Mbarali District SAI information network
Stakeholder Network Module – Tanzania
The stakeholder maps show the
organisations
working on SAI.We used the key on the right to select to view the network at the district level.The colors indicate the type of organization (red is farmer organization, yellow is government).
These maps are interactive so you can drag the dots (organisations) around and hover or click on a dot to see the name. When looking at the maps, the arrows originate from the organisation named and point to the organisation
that was named as an SAI information source
Slide28Mbarali
District SAI information network
Stakeholder Network Module - Tanzania
Here we zoomed in to better see the names of the organization
Note the diversity of stakeholders active at the district level.
Slide29Stakeholder Network Module - Ethiopia
Entire Network in Ethiopia
Just Government Organizations Ethiopia
Slide30Women
Moist Lowland
SAI Prioritization Module - Ethiopia
View the prioritized SAI practices as bubbles or in table format.
Download the report here
Slide31Men
Moist Lowland
SAI Prioritization Module - Ethiopia
View the prioritized SAI practices as bubbles or in table format.
Download the report here
Slide32Land Health Module
There are two options for exploring the land health data:
By exploring by individual soil fertility elements
Slide33Land Health Module
There are two options for exploring the land health data:
By exploring by individual soil fertility elements
By clicking on the Land Health maps tab to explore the spatial predictions of soil health indicators
Slide34Soil Organic Carbon (SOC)
is a key indicator of soil health. SOC influences the water holding capacity of the soil, cation exchange capacity, soil fertility, among other key soil properties.
SOC is influenced by land management practices and aboveground vegetation.
A value of 20 g carbon per kg of soil, is often used as a general threshold needed for agricultural productivity. Thus, soil with values less than this threshold could be considered constrained due to low SOC content.
The density plot shows the distribution of SOC levels in the topsoil across the samples
Land Health Module – Soil Organic Carbon - Tanzania
This map shows the value of the topsoil organic carbon for each of the 160 sampled LDSF plots.
Slide35The box plots on the left is a visualization of the total nitrogen. The boxplots show the range of the nitrogen quantity in the topsoil for a given cluster (n=16 clusters per site). The dots on the plot show the outliers. The heavy vertical line in the middle of the box shows the median point.
Land Health Module – Total Nitrogen- Tanzania
This map shows the value of the topsoil total nitrogen for each of the 160 sampled LDSF plots.
Slide36•
Soil pH is an indicator of soil acidity. At low soil pH values (< 5.5) there is a risk of aluminum and magnesium toxicity. At high soil pH (> 8.3), there can be induced phosphorous and micronutrient deficiency which may also indicate high sodium levels.
Land Health Module – Soil pH- Tanzania
This map shows the value of the topsoil pH values for each of the 160 sampled LDSF plots.
Slide37The sum of Exchangeable Bases is the sum of Ca
+2
, Mg2+,Na+,K
+. This is an overall indicator of soil fertility. The general thresholds are: values <4 cmolc kg-1 is extremely low, while 8 cmolc/ kg is low but can be managed.
Land Health Module- Exchangeable Bases- Tanzania
This map shows the value of the topsoil Exchangeable Bases for each of the 160 sampled LDSF plots.
Slide38Soil contains different sized particles: sand (2.0 - 0.05 mm), silt (0.05-0.002 mm) and clay (<0.002 mm).
These data have implications for the water holding capacity of the soil, the infiltration rates as well as soil organic carbon storage potential.
Land Health Module – Clay Content - Tanzania
This map shows the clay content (%) of the topsoil for each of the 160 sampled LDSF plots.
Slide39Land Health Module – Maps
Land Health Maps
were generated using the Ecosystem Health Surveillance Database at World Agroforestry (ICRAF)
Using the field data collected with the LDSF and
Landsat imagery (2017) at 30 meter resolution
Soil Organic Carbon (SOC)
Soil pH
Fractional Vegetation cover using SATVI index -1990
Fractional Vegetation cover using SATVI index -2017
Wetness Index
Soil Erosion
Slide40Land Health Module – Maps
To activate the detailed indicator maps, you must click on the map to the left.
Slide41Land Health Module – Maps – Exploring Multiple Indicators
By simultaneously exploring multiple land and soil health indicators one can start to look at the how the indicators potentially influence each other.
For example, this location has LOW soil organic carbon (SOC), HIGH soil erosion prevalence, and has seen a decrease in fractional vegetation cover between 1990 and 2017.
Soil Organic Carbon (SOC)
Soil pH
Fractional Vegetation cover using SATVI index -1990
Fractional Vegetation cover using SATVI index -2017
Wetness Index
Soil Erosion
Slide42Climate Module – Zambia
There are two options for exploring the climate data:
By exploring point click visualizations
These rainfall data are the Tropical Rainfall Monitoring Mission (TRMM)
Slide43Climate Module – Zambia
There are two options for exploring the climate data:
By exploring point click visualizations or
District Based
Visualisations
Slide44Climate Module – Zambia – Point Click
Visualisation Tab
Rainfall trends from 1998-2017
Boxplots of the same trends by looking at the variation in rainfall for each month – between the years 1998-2017
Use the slider to select the years
Slide45Climate Module – Zambia – District based
visualisations
2) Select two different districts on the map
4) Compare the boxplots of the same trends by looking at the variation in rainfall for each month – between the years 1998-2017
1) Use the slider to select the years
3) Compare the trends for the two districts by month
Slide46Socioeconomic Module – Tanzania
Slide47Socioeconomic Module – Ethiopia
HH and farm size
Source of income
Farm ownership
Slide48Socioeconomic Module – Zambia
HH and farm size
Source of income
Source of
labour
Slide49SAI Trials Module – Tanzania
Slide50SAI Trials Module – Ethiopia
No
Zone
Woreda
Kebele
Sub-kebele
# Farmer
1
East Shewa
Ziway / Adami tulu jido kombolcha
Gerbi widena
Gerbi
10
2
East Shewa
Ziway / Adami tulu jido kombolcha
Gerbi widena
Widena
10
3
East Shewa
Ziway / Adami tulu jido kombolcha
Abini germamo
Ezebawi zone
10
4
East Shewa
Meki / Dugda
Shubi gemo
Sembo megala
10
5
East Shewa
Mojo / Lume
Ajersa joro
Zone 1&2
10
6
East Shewa
Mojo / Lume
Bola butta
Adi mamo
20
Total no of farmer
70
Kebele
Papaya Survival Rate (%)
Avocado Survival Rate (%)
Gerbi widena
66.6
73.33
Abini germama
48.14
80
Shubi gemo
85
93.3
Ejersa Joro & Bola butta
78
86.6
70 farmers registered and engaged in the SAI intervention across three counties in June 2017
Farmer selection was based on the following criteria:
availability of plot of land and water, accessibility, farmer’s interest and accountability to mange fruit tree seedlings were considered.
In 2017 crop season for
homegarden
fruit and multipurpose tree integration
Slide51Participatory Tradeoff Activity
Slide52Tradeoffs Module – Tanzania
SAI Dashboard Discussion and Participatory Tradeoff Activity of SAI practices in
Mbarali
, Tanzania, August 2018
Explore the radar charts from the various stakeholder groups using the participatory tradeoff activity
Select the SAI practice here
Slide53Tradeoffs Module – Ethiopia
Explore the perceived tradeoffs of SAI practices
Select the SAI practice here
Participatory Tradeoff Activity of SAI practices in
Addis Ababa November 2018
Slide54SAI Dashboard Feedback form on
dashboard utility
Slide55Section 3
Applying the Dashboards for Decision Making
Group Exercise at Tables
Slide56Group Activity: Applying the Dashboard to SAI Decisions
Step One: Divide into groups of 4-6 people by the types of decisions you are making:Policy DevelopmentAdvisory Roles
Programme DevelopmentYearly Implementation PlanningStep Two: Think of a policy, program development or planning activity that you would participate in for SAI (can be national or local level) – choose one case per group
Slide57Activity: Applying the dashboard to SAI decisions
Step Three: What are examples of the decisions that would be associated with your SAI case?Write them down on blue cardsStep Four:
Briefly write down what types of data would you need to inform your SAI decision case?Write them down on back of the blue cardStep Five: Discuss how this data could be obtained and incorporated into the dashboard.
Slide58Ensuring data inputs to the SAI dashboard and actions
Step Six: What is missing to support your SAI decision case?Indicate what actions are needed and by whom/which organization to support the decision
Indicate specific contacts who could contributeDevelop a plan to ensure data access
Slide59FUTURE USE OF DASHBOARDS
Slide60Step One
: SET UP CORE DASHBOARD TEAMAgree on dashboard team membersDevelop terms of reference for the core dashboard - see example belowData ScopingAssist in contacting relevant personnel with data accessAssist with any communication needs to access and download data and delivery to the ICRAF dashboard development team
Co-ordinate responses on which data is to be prioritised for inclusionSensitisation of additional end users
Focal point within project to explain the dashboard to other intended users and engage their input and feedback into the processSuggest meetings / conferences / presentations opportunities where we can showcase the dashboard for use in decision making Communication focal pointTo attend skype meetings every quarter and actively contribute to WhatsApp group
Coordinate feedback on visual and functionality checks on the dashboardSustainabilitySuggest leveraging opportunities with partners to ensure the dashboard can be embedded beyond the life cycle of the project
Slide61Decide on timelines for interaction and roles
Engage in regular correspondence to integrate additional insights on how the dashboard can be showcased and enhancedProvide regular feedback and input to the dashboardPlan of action for roles and responsibilities for enhancementIdentify key opportunities to raise awareness around the SAI Dashboards
Continue to explore ways to improve usability and further applicationsIdentify champions in various organizations who will raise awareness of the dashboards
Additional Steps for the Core Dashboard Team and Interested Stakeholders
Slide62Thank you!
For more information please contact Leigh Ann Winowiecki L.A.Winowiecki@cgiar.org or Mieke Bourne
M.Bourne@cgiar.org