SAI DECISION DASHBOARDS - PowerPoint Presentation

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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

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Prepared 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

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Section 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.

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SECTION 1

Background for Facilitators on Decision Dashboards and the Engagement Process

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SECTION 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

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Purpose 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

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What is a Dashboard?

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Sustainable 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

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How have the SAI dashboards been built?

SHARED Stakeholder engagement process which uses a specialized co-design framework to build the dashboards

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Engagement 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

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Initial 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

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Initial 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

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Initial 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

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SECTION 2

Facilitation Guide for using the Dashboards: Exploring each Module

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To 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

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Three country-based SAI Dashboards

http://landscapeportal.org/SairlaTanzania/

http://landscapeportal.org/SairlaZambia/

http://landscapeportal.org/SairlaEthiopia/

ZAMBIA

TANZANIA

ETHIOPIA

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Dashboard 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

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Interactive 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

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There are currently eight modules in each SAI Dashboard

Socio-economic

Root cause analysis

Stakeholder mappingPrioritisation of SAI practicesSAI TrialsTrade-offs

Land HealthClimate

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Landing Page – Ethiopia SAI Dashboard

http://landscapeportal.org/SairlaEthiopia/

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Root 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

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Root 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

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Stakeholder 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

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Mbarali 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

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Mbarali

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.

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Stakeholder Network Module - Ethiopia

Entire Network in Ethiopia

Just Government Organizations Ethiopia

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Women

Moist Lowland

SAI Prioritization Module - Ethiopia

View the prioritized SAI practices as bubbles or in table format.

Download the report here

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Men

Moist Lowland

SAI Prioritization Module - Ethiopia

View the prioritized SAI practices as bubbles or in table format.

Download the report here

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Land Health Module

There are two options for exploring the land health data:

By exploring by individual soil fertility elements

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Land 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

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Soil 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.

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The 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.

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•

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.

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The 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.

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Soil 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.

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Land 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

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Land Health Module – Maps

To activate the detailed indicator maps, you must click on the map to the left.

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Land 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

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Climate 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)

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Climate Module – Zambia

There are two options for exploring the climate data:

By exploring point click visualizations or

District Based

Visualisations

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Climate 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

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Climate 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

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Socioeconomic Module – Tanzania

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Socioeconomic Module – Ethiopia

HH and farm size

Source of income

Farm ownership

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Socioeconomic Module – Zambia

HH and farm size

Source of income

Source of

labour

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SAI Trials Module – Tanzania

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SAI 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

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Participatory Tradeoff Activity

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Tradeoffs 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

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Tradeoffs 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

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SAI Dashboard Feedback form on

dashboard utility

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Section 3

Applying the Dashboards for Decision Making

Group Exercise at Tables

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Group 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

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Activity: 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.

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Ensuring 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

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FUTURE USE OF DASHBOARDS

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Step 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

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Decide 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

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Thank you!

For more information please contact Leigh Ann Winowiecki L.A.Winowiecki@cgiar.org or Mieke Bourne

M.Bourne@cgiar.org