Designing, Developing and Operationalizing a National Forest Landscape Restoration (FLR) Measurement, Reporting, and Verification (MRV) System-Uganda

 

Request for Proposals (RfP)
Designing, Developing and Operationalizing a National Forest Landscape Restoration (FLR) Measurement, Reporting, and Verification (MRV) System for Uganda
Requested by IUCN Uganda Country Office (UCO), Land Systems Programme under the Forest Landscape Restoration (FLR) Implementation Hub: Responsive and need-driven support and financing for the implementation of carbon-intensive forest landscape restoration (FLR) strategies to deliver national climate and development targets.
Project Nunber: P03298
RfP Reference Number: IUCN-26-04-P03298-06.
Welcome to this Procurement by IUCN. You are hereby invited to submit a Proposal. Please read the information and instructions carefully because non compliance with the instructions may result in disqualification of your Proposal from this Procurement.

1. REQUIREMENTS
1.1. A detailed description of the services to be provided can be found in Attachment 1.

2. CONTACT DETAILS
2.1. During the course of this procurement, i.e. from the publication of this RfP to the award of a contract, you may not discuss this procurement with any IUCN employee or representative other than the following contact. You must address all correspondence and questions to the contact, including your Proposal.
IUCN Contact: Margaret Amony, Finance and Administrative Officer/ Procurement Focal Person, UCO Email address: tenders.ug@iucn.org

3. PROCUREMENT TIMETABLE
3.1. This timetable is indicative and may be changed by IUCN at any time. If IUCN decides that changes to any of the deadlines are necessary, we will publish this on our website and contact you directly if you have indicated your interest in this procurement (see Section 3.2).

DATE-ACTIVITY
27th April 2026-Publication of the Request for Proposals
15th May 2026-Deadline for expressions of interest
20th May 2026- Deadline for submission of proposals
25th May 2026-Expected contract award date
1st June 202- Expected contract start date
30th November 2026-Expected contract end date

3.2. Please email the IUCN contact to express your interest in submitting a Proposal by the deadline stated above. This will help IUCN to keep you updated regarding the procurement.

4. COMPLETING AND SUBMITTING A PROPOSAL
4.1. Your Proposal must consist of the following four separate documents:
 Signed Declaration of Undertaking (see Attachment 2)
 Pre-Qualification Information (see Section 4.3 below)
 Technical Proposal (see Section 4.4 below)
 Financial Proposal (see Section 4.5 below)
Proposals must be prepared in English.

4.2. Your Proposal must be submitted by email to the IUCN Contact (see Section 2). The subject heading of the email shall be [RfP Reference No. IUCN-26-04-P03298-06 bidder name]. The bidder name is the name of the company/organisation on whose behalf you are submitting the Proposal, or your own surname if you are bidding as a self-employed consultant. Your Proposal must be submitted in PDF format. You may submit multiple emails suitably annotated, e.g. Email 1 of 3, if attached files are too large to suit a single email transmission. You may not submit your Proposal by uploading it to a file-sharing tool.
IMPORTANT: Submitted documents must be password-protected so that they cannot be opened and read before the submission deadline. Please use the same password for all submitted documents. After the deadline has passed and within 12 hours, please send the password to the IUCN Contact. This will ensure a secure bid submission and opening process.
Please DO NOT email the password before the deadline for Proposal submission.

4.3. Pre-Qualification Criteria
IUCN will use the following Pre-Qualification Criteria to determine whether you have the capacity to provide the required goods and/or services to IUCN. Please provide the necessary information in a single, separate document.
Pre-Qualification Criteria
1. 3 relevant references of clients similar to IUCN / similar work
2. Confirm that you have all the necessary legal registrations to perform the work
3. How many employees does your organisation have who are qualified for this work?

4.4. Technical Proposal
The Technical Proposal must address each of the criteria stated in the table below explicitly and separately, quoting the relevant criteria reference number (in the two middle-columns).
Proposals in any other format will significantly increase the time it takes to evaluate, and such roposals may therefore be rejected at IUCN’s discretion.
Where CVs are requested, these must be of the individuals who will actually carry out the work specified. The individuals you put forward may only be substituted with IUCN’s approval.
IUCN will evaluate Technical Proposals with regards to each of the following criteria and their relative importance as follows:
SN-Description-Information to provide-Relative weight
1. Technical capability
1.1 State your understanding of the assignment objectives and tasks.-10
1.2. Define the scope of work clearly and in sufficient detail.-10
1.3. Articulate how you will achieve each objective and task in sufficient detail, while directing proper level of effort towards each objective and task.-15
1.4. State your understanding of the expected outputs and provide technical solutions and expected outcomes.-15
1.5. Define the equipment, techniques, tools, approaches, and methods to be used in executing the assignment.-20
1.6. Provide assignment time schedule in conformity with assignment scheduling and duration.-5
2. Past performance alignment and coherence with current assignment objectives and tasks
2.1. Provide your past performance/ relevant experience that match with the current assignment.-10
2.2. Indicate key personnel and their qualifications, expertise and past work experience that match with the current assignment.-10
2.3. Attach detailed CVs of individuals whose qualifications, expertise, and past work experience match with the current assignment, and who will carry out the work specified.-5
TOTAL-100%

4.5. Financial Proposal
4.5.1. The Financial Proposal must be a fixed and firm price for the provision of the goods/services stated in the RfP in their entirety.
4.5.2. Prices include all costs
Submitted rates and prices are deemed to include all costs, insurances, taxes (except VAT, see below), fees, expenses, liabilities, obligations, risk and other things necessary for the performance of the Terms of Reference or Specification of Requirements. IUCN will not accept charges beyond those clearly stated in the Financial Proposal. This includes applicable withholding taxes and similar. It is your responsibility to determine whether such taxes apply to your organisation and to include them in your Financial Proposal.
4.5.3. Applicable Goods and Services Taxes
Proposal rates and prices shall be exclusive of Value Added Tax to ensure that we are comparing like for like. This applies regardless of whether the IUCN office in question is exempt from VAT.
4.5.4. Currency of proposed rates and prices
All rates and prices submitted by Proposers shall be in Uganda Shillings.
4.5.5. Breakdown of rates and prices
Include here all the required price information breakdown, for example daily rates or unit prices for goods. The price needs to be broken down as follows:
SN-Description-Quantity-Unit Price-Total Price
1 Professional fees
2 Per diems/Day Day Allowance
3 Reimbursables (specify below)
a)
b)
c)
d)
4 Travel expenses
TOTAL

4.6. Additional information not requested by IUCN should not be included in your Proposal and will not be considered in the evaluation.

4.7. Your Proposal must remain valid and capable of acceptance by IUCN for a period of 60 man days following the submission deadline.

4.8. Withdrawals and Changes
You may freely withdraw or change your Proposal at any time prior to the submission deadline by written notice to the IUCN Contact. However, in order to reduce the risk of fraud, no changes or withdrawals will be accepted after the submission deadline.

5. EVALUATION OF PROPOSALS
5.1. Completeness
IUCN will firstly check your Proposal for completeness. Incomplete Proposals will not be considered further.

5.2. Pre-Qualification Criteria
Only Proposals that meet all of the pre-qualification criteria will be evaluated.

5.3. Technical Evaluation
5.3.1. Scoring Method
Your Proposal will be assigned a score from 0 to 10 for each of the technical evaluation criteria, such that ‘0’ is low and ‘10’ is high.
5.3.2. Minimum Quality Thresholds
Proposals that receive a score of ‘0’ for any of the criteria will not be considered further.
5.3.3. Technical Score
Your score for each technical evaluation criterion will be multiplied with the respective relative weight (see Section 4.4) and these weighted scores added together to give your Proposal’s overall technical score.
Subject to the requirements in Sections 4 and 7, IUCN will award the contract to the bidder whose Proposal achieves the highest total score.
5.4. Financial Evaluation and Financial Scores
The financial evaluation will be based upon the full total price you submit. Your Financial Proposal will receive a score calculated by dividing the lowest Financial Proposal that has passed the minimum quality thresholds (see Section 5.3.2) by the total price of your Financial Proposal.
Thus, for example, if your Financial Proposal is for a total of CHF 100 and the lowest Financial Proposal is CHF 80, you will receive a financial score of 80/100 = 80%

5.5. Total Score
Your Proposal’s total score will be calculated as the weighted sum of your technical score and your financial score.
The relative weights will be:
Technical: 70%
Financial: 30%
Thus, for example, if your technical score is 83% and your financial score is 77%, you will receive a total score of 83 * 70% + 77 * 30% = 58.1% + 23.1% = 81.2%.
Subject to the requirements in Sections 4 and 7, IUCN will award the contract to the bidder whose Proposal achieves the highest total score.

6. EXPLANATION OF PROCUREMENT PROCEDURE
6.1. IUCN is using the Open Procedure for this procurement. This means that the contracting opportunity is published on IUCN’s website and open to all interested parties to take part, subject to the conditions in Section 7 below.

6.2. You are welcome to ask questions or seek clarification regarding this procurement. Please email the IUCN Contact (see Section 2), taking note of the deadline for submission of questions in Section 3.1.

6.3. All Proposals must be received by the submission deadline in Section 3.1 above. Late Proposals will not be considered. All Proposals received by the submission deadline will be evaluated by a team of evaluators in accordance with the evaluation criteria stated in this RfP.
No other criteria will be used to evaluate Proposals. The contract will be awarded to the bidder whose Proposal received the highest Total Score. IUCN does, however, reserve the right to cancel the procurement and not award a contract at all.

6.4. IUCN will contact the bidder with the highest-scoring Proposal to finalise the contract. We will contact unsuccessful bidders after the contract has been awarded and provide detailed feedback. The timetable in Section 3.1 gives an estimate of when we expect to have completed the contract award, but this date may change depending on how long the evaluation of Proposals takes.

7. CONDITIONS FOR PARTICIPATION IN THIS PROCUREMENT
7.1. To participate in this procurement, you are required to submit a Proposal, which fully complies with the instructions in this RfP and the Attachments.
7.1.1. It is your responsibility to ensure that you have submitted a complete and fully compliant Proposal.
7.1.2. Any incomplete or incorrectly completed Proposal submission may be deemed noncompliant, and as a result you may be unable to proceed further in the procurement process.
7.1.3. IUCN will query any obvious clerical errors in your Proposal and may, at IUCN’s sole discretion, allow you to correct these, but only if doing so could not be perceived as giving you an unfair advantage.
7.2. In order to participate in this procurement, you must meet the following conditions:
 Free of conflicts of interest
 Registered on the relevant professional or trade register of the country in which you are established (or resident, if self-employed)
 In full compliance with your obligations relating to payment of social security contributions and of all applicable taxes
 Not been convicted of failing to comply with environmental regulatory requirements or other legal requirements relating to sustainability and environmental protection
 Not bankrupt or being wound up
 Never been guilty of an offence concerning your professional conduct
 Not involved in fraud, corruption, a criminal organisation, money laundering, terrorism, or any other illegal activity.
7.3. You must complete and sign the Declaration of Undertaking (see Attachment 2).
7.4. If you are participating in this procurement as a member of a joint venture, or are using subcontractors, submit a separate Declaration of Undertaking for each member of the joint venture and sub-contractor, and be clear in your Proposal which parts of the goods/services are provided by each partner or sub-contractor.
7.5. Each bidder shall submit only one Proposal, either individually or as a partner in a joint venture.
In case of joint venture, one company shall not be allowed to participate in two different joint ventures in the same procurement nor shall a company be allowed to submit a Proposal both on its behalf and as part of a joint venture for the same procurement. A bidder who submits or participates in more than one Proposal (other than as a subcontractor or in cases of alternatives that have been permitted or requested) shall cause all the Proposals with the bidder’s participation to be disqualified.

7.6. By taking part in this procurement, you accept the conditions set out in this RfP, including the following:
 It is unacceptable to give or offer any gift or consideration to an employee or other representative of IUCN as a reward or inducement in relation to the awarding of a contract.
Such action will give IUCN the right to exclude you from this and any future procurements, and to terminate any contract that may have been signed with you.
 Any attempt to obtain information from an employee or other representative of IUCN concerning another bidder will result in disqualification.
 Any price fixing or collusion with other bidders in relation to this procurement shall give IUCN the right to exclude you and any other involved bidder(s) from this and any future procurements and may constitute a criminal offence.

8. CONFIDENTIALITY AND DATA PROTECTION
8.1. IUCN follows the European Union’s General Data Protection Regulation (GDPR). The information you submit to IUCN as part of this procurement will be treated as confidential and shared only as required to evaluate your Proposal in line with the procedure explained in this RfP, and for the maintenance of a clear audit trail. For audit purposes, IUCN is required to retain your Proposal in its entirety for 10 years after then end of the resulting contract and make this available to internal and external auditors and donors as and when requested.

8.2. In the Declaration of Undertaking (Attachment 2) you need to give IUCN express permission to use the information you submit in this way, including personal data that forms part of your Proposal. Where you include personal data of your employees (e.g. CVs) in your Proposal, you need to have written permission from those individuals to share this information with IUCN, and for IUCN to use this information as indicated in 8.1. Without these permissions, IUCN will not be able to consider your Proposal.

9. COMPLAINTS PROCEDURE
If you have a complaint or concern regarding the propriety of how a competitive process is or has been executed, then please contact procurement@iucn.org. Such complaints or concerns will be treated as confidential and are not considered in breach of the above restrictions on communication (Section 2.1).

10. CONTRACT
The contract will be based on IUCN’s template in Attachment 3, the terms of which are not negotiable. They may, however, be amended by IUCN to reflect particular requirements from the donor funding this particular procurement.

11. ABOUT IUCN
IUCN is a membership Union uniquely composed of both government and civil society organisations. It provides public, private and non-governmental organisations with the knowledge and tools that enable human progress, economic development and nature conservation to take place together.

Headquartered in Switzerland, IUCN Secretariat comprises around 1,000 staff with offices in more than 50 countries.

Created in 1948, IUCN is now the world’s largest and most diverse environmental network, harnessing the knowledge, resources and reach of more than 1,300 Member organisations and some 10,000 experts. It is a leading provider of conservation data, assessments and analysis. Its broad membership enables IUCN to fill the role of incubator and trusted repository of best practices, tools and international standards.

IUCN provides a neutral space in which diverse stakeholders including governments, NGOs, scientists, businesses, local communities, indigenous peoples’ organisations and others can work together to forge and implement solutions to environmental challenges and achieve sustainable development.

Working with many partners and supporters, IUCN implements a large and diverse portfolio of conservation projects worldwide. Combining the latest science with the traditional knowledge of local communities, these projects work to reverse habitat loss, restore ecosystems and improve people’s well being.
www.iucn.org
https://twitter.com/IUCN/

12. ATTACHMENTS
Attachment 1 Specification of Requirements / Terms of Reference
Attachment 2 Declaration of Undertaking (select 2a for companies or 2b for self-employed asapplicable to you)
Attachment 3 Contract Template

THE REPUBLIC OF UGANDA
Ministry of Water and Environment
Department of Forest Management (DFM)
Water and Environment Information System – www.weis.mwe.go.ug/fssd

TERMS OF REFERENCE
Consultancy for the Development of a National Forest Landscape Restoration (FLR) Measurement, Reporting, and Verification (MRV) System for Uganda Designing and Operationalising a Four-Tier National FLR-MRV System from Tree Farmer to MWE Headquarters, Built Upon an Upgraded FOMIS within the WEIS Portal and Benchmarked Against Global Best Practice
Project Title: National FLR-MRV System for Uganda: Four-Tier WEIS/FOMIS Data Hub from Tree Farmer to MWE Headquarters
Location: Republic of Uganda
Duration: 6 Months
WEIS Platform: weis.mwe.go.ug/fssd (Forestry Sector Support Department module)
Reporting To: Project Steering Committee co-chaired by MWE; Secretariat
support from FSSD
Benchmarked On: WRI TerraMatch/TerraFund MRV System • Malawi National FLR Strategy Monitoring • Rwanda Cross-Sectoral Task Force • FAO/WRI Road to Restoration Framework • IUCN Restoration Barometer

List of Acronyms
AFR100-African Forest Landscape Restoration Initiative
**API-**Application Programming Interface
**CSO-**Civil Society Organization
**DFO-**District Forest Officer
**EMIS-**Environment Management Information System (under WEMIS)
**FLR-**Forest Landscape Restoration
**FOMIS-**Forestry Management Information System — the WEIS Forestry Sector database component
**FSSD-**Forestry Sector Support Department
**GIS-**Geographic Information System
IUCN-International Union for Conservation of Nature
**MWE-**Ministry of Water and Environment
**MRV-**Measurement, Reporting, and Verification
**NDC-**Nationally Determined Contribution
**NDP-**National Development Plan
**NEMA-**National Environment Management Authority
**NFMS-**National Forest Monitoring System
MWE- National Forestry Authority
**RB-**Restoration Barometer (IUCN)
**REDD+ -**Reducing Emissions from Deforestation and Forest Degradation
RUWAS- Rural Water and Sanitation Database (under WEMIS)
**ToR-**Terms of Reference
**TWG-**Technical Working Group
**WEIS-**Water and Environment Information System — national portal: weis.mwe.go.ug
WEMIS- Water and Environment Management Information System (broader platform suite)
**WRI -**World Resources Institute

Executive Summary
Uganda has committed to restoring 2.5 million hectares of land under the Bonn Challenge and AFR100. Tracking this pledge requires a robust, nationally owned MRV system that generates credible data from the tree farmer in the field all the way to reporting desks at MWE Headquarters and global platforms such as the IUCN Restoration Barometer.
A national stakeholder workshop on the IUCN Restoration Barometer revealed three critical weaknesses: fragmented restoration monitoring with no standardised approach, over-reliance on a single “area restored” figure, and significant data gaps in finance, biodiversity, and livelihoods.
Crucially, the workshop also confirmed that Uganda already possesses powerful but under-utilised assets: the National Forest Monitoring System (NFMS) and the Forestry Management Information System (FOMIS) within the Water and Environment Information System (WEIS) portal at weis.mwe.go.ug/fssd.
The defining innovation of this consultancy is the design and operationalisation of a four-tier, bottomup FLR-MRV architecture within the upgraded WEIS/FOMIS platform, with purpose-designed dashboards at each level:

Tier-Level- Primary Actor- Dashboard Name- Core Function
1. Field / Farm-Tree Farmer,-Community Group- **My Farm Dashboard-**Log trees planted, GPS polygon, survival rate, income
2 District- District Forest Officer (DFO)-District FLR Dashboard-Aggregate farm data; verify; compile district FLR report
3 Sub national/Regional-MWE Regional Office-Regional FLR Dashboard -Aggregate district data; flag anomalies; verify in the field
4 National-MWE Headquarters /FSSD or DFM-**National FLR Command Centre-**National totals; Bonn/AFR100/RB reporting; policy analytics

The system will be benchmarked against leading global FLR-MRV frameworks, principally the WRI TerraMatch/TerraFund MRV system operating across 27 African countries, and Malawi’s National FLR
Strategy Monitoring Framework, to ensure that Uganda’s upgraded WEIS/FOMIS is built to the highest available standard while remaining nationally owned and fiscally sustainable.

1. Project Background
In 2011, Uganda joined the Bonn Challenge, pledging to restore 2.5 million hectares of deforested and degraded land, subsequently reinforced through AFR100. This target, which approximately 12.5% of Uganda’s land area, is a cornerstone of Uganda’s NDCs, REDD+ Strategy & Action Plan, Integrated Forest Landscape Restoration Strategy and Forest Investment Plan.

1.1 The WEIS Forestry Sector Data Platform
The WEIS portal (weis.mwe.go.ug), managed by MWE, hosts the FSSD/DFM module at weis.mwe.go.ug/fssd. This currently provides: forest cover trends by MWE (Ha); detailed sub-national forestry cover statistics; seedling distribution quantities; regional distribution data (2023/2024); districtlevel distribution; and an online facility for applying for planting materials. These data streams are the foundational layer of any national FLR-MRV system and must be preserved, complemented, and extended not replaced by the upgraded system.

1.2 The MRV Gap: No Data Path from Farmer to Headquarters
Currently, Uganda’s restoration monitoring has no structured pathway for data to flow from a tree farmer or community group upward through district, regional, and national levels. Project data are collected in isolation using varied methodologies, making national aggregation unreliable. There is no common digital interface for the tree farmer to register an activity, no district dashboard for the DFO to verify and compile, no regional layer for MWE regional offices to oversee, and no national command centre for FSSD/DFM and MWE Headquarters to produce real-time, auditable reports for the Restoration Barometer, NDC progress tracking, or investment mobilisation. This ToR addresses that gap in its entirety.
1.3 Findings from the Restoration Barometer Workshop
• Fragmentation: Numerous restoration initiatives implemented by many actors with inconsistent monitoring tools and no shared data protocol.
• Data Gaps: Reporting relies on “area restored” alone; finance, biodiversity, and livelihood data are absent.
• Existing Assets: NFMS/MRV and WEIS/FOMIS are established but under configured for comprehensive FLR monitoring.
• Stakeholder Needs: Urgent demand for a bottom-up data reporting mechanism, clear guidelines, and a data-sharing framework to eliminate duplication.
2. Rationale for the Assignment
The project-based, ad-hoc approach to FLR monitoring makes reliable national aggregation impossible and exposes Uganda to risk of double-counting, omission, and loss of investor confidence. Uganda is not alone in this challenge: research across 39 FLR monitoring tools in Africa found that the three most commonly cited limiting factors were inadequate funding, infrastructure deficits, and inadequate technical expertise. The WEIS/FOMIS platform directly addresses all three by leveraging existing national infrastructure, minimising costs, and embedding capacity building into the upgrade. Critically, global evidence demonstrates that the most effective FLR monitoring systems are “nested”: individual farm or project data contribute to district totals, district data contribute to national goals, and national data contribute to continental and global commitments. This nested principle championed by WRI, FAO, and AFR100 is the architectural foundation of the four-tier WEIS/FOMIS upgrade proposed under this ToR.

3. Overall Objective
To develop a comprehensive, operational, and nationally-owned FLR-MRV system for Uganda that enables structured, verifiable data flow from the individual tree farmer, through district and regional levels, to MWE Headquarters and international reporting frameworks all operating within the upgraded WEIS/FOMIS platform at weis.mwe.go.ug/fssd.

4. Specific Objectives
• Four-tier MRV architecture: Design and implement a four-tier, bottom-up FLR-MRV data architecture within WEIS/FOMIS: (1) Tree Farmer/Community, (2) District, (3) MWE Regional Office, (4) MWE Headquarters/FSSD each with a dedicated, role-appropriate dashboard.
• Upgrade FOMIS on WEIS: Strategically enhance the WEIS Forestry Sector Support module to serve as the central, interoperable data hub for all FLR project, financial, and impact data, building on existing forest cover trend and seedling distribution KPIs.
• Harmonise monitoring tools: Integrate NFMS/MRV, WEIS/FOMIS, and NEMA’s Environmental Network into a coherent FLR architecture, avoiding duplication.
• Benchmark against best systems: Ensure the WEIS FLR-MRV system is designed against the WRI TerraMatch/TerraFund MRV framework, Malawi’s national framework, and other leading systems identified during the assignment.
• Develop methodologies: Produce clear, practical protocols for measuring FLR indicators across all four tiers, addressing data gaps in finance, biodiversity, and livelihoods.
• Ensure Restoration Barometer interoperability: Resolve interpretation issues raised at the workshop; enable seamless one-click reporting to the RB platform from the MWE Headquarters dashboard.
• Build sustained capacity: Develop comprehensive user manuals, training programmes, and governance structures for each tier to ensure long-term national ownership.

5. The Four-Tier WEIS/FOMIS FLR-MRV Architecture
The upgraded WEIS/FOMIS system will operate as a nested, hierarchical MRV architecture. Each tier feeds the one above it; each tier’s dashboard is calibrated to the decision-making and reporting needs of that level’s primary users. Data submitted at a lower tier is automatically aggregated, validated, and made available to higher tiers eliminating manual re-entry, reducing error, and providing real-time national visibility of Uganda’s FLR progress.
Data flow: Tree Farmer → District Forest Officer → MWE Regional Office → MWE Headquarters/FSSD → National & International Reporting Platforms
Tier 1 —Field/Farm Level: “My Farm Dashboard”
This is the data-entry point for the entire system. Without reliable, geolocated data from the individual farmer, household, or community group, the national system is built on anecdote. Inspired by the WRI TerraFund Flority mobile data collection app, which enables locally led organisations to map restoration polygons offline, the Tier 1 interface must be accessible on low-cost smartphones with offline capability.

TIER 1 - FIELD / FARM LEVEL | PRIMARY USER: Tree Farmer, Smallholder, Community Group,
Private Plantation Owner
Primary Actor / User :Tree farmer or designated community data champion;
registered WEIS user with Tier 1 access credentials.
Data Inputs & Collection Method
• GPS polygon/boundary of restoration plot (via mobile app - offline capable)
• Restoration type: agroforestry, natural regeneration, woodlot, plantation (with species list)
• Number and species of trees planted / naturally regenerated
• Planting date and estimated survival rate (6-month update)
• Seedling source (MWE nursery linked to existing WEIS planting material service, private nursery, or self-grown)
• Household socio-economic data: labour days, income from restoration, food security selfassessment
• Photo documentation (geo-tagged, auto-uploaded when connectivity restored) Dashboard KPIs / Indicators
• Total area registered under restoration (Ha) on my plots
• Number of trees planted vs. target
• Tree survival rate (%) at 6 and 12 months
• Restoration type breakdown (pie chart)
• Seedlings received from MWE (linked to WEIS seedling distribution records)
• Status of my planting material applications
• Comparison: my progress vs. subcounty average
Dashboard Actions & Tools
• Submit / update planting activity report (every 6 months)
• Apply for MWE planting materials directly within dashboard (existing WEIS service)
• Flag disturbances: fire, encroachment, drought impact
• View field verification schedule (when DFO will visit)
• Download my farm FLR certificate (once verified by DFO)
• Access extension advisory content (species guides, planting techniques) Verification Mechanism
Field verification by District Forest Officer (DFO) every 12 months; cross-check against satellite tree-canopy change data (WRI Land & Carbon Lab / Global Forest Watch).

Tier 2 - District Level: “District FLR Dashboard”
The District Forest Officer (DFO) is the critical validation node of the entire system. The DFO’s dashboard aggregates all Tier 1 data submitted by farmers within the district, enables scheduling field verification, and produces the official district FLR report that feeds the regional tier. This mirrors the roles of district-level data managers in Rwanda’s Cross-Sectoral Task Force monitoring system and of district-level restoration coordinators in Malawi.

TIER 2 - DISTRICT LEVEL | PRIMARY USER: District Forest Officer (DFO), District Natural Resources Officer
Primary Actor / User: District Forest Officer (DFO) or designated District Natural Resources Officer; verified WEIS Tier 2 user.
Data Inputs & Collection Method
• Aggregated Tier 1 submissions from all registered farmers and groups within the district
• Verified field inspection reports (GPS-stamped, photo-evidenced)
• District nursery production and seedling distribution records (feeding into and from existing WEIS seedling KPI)
• Sub-county and parish-level disaggregation of restoration activities
• List of active restoration projects (NGOs, private sector) operating in district
• District land degradation baseline (from ROAM or equivalent assessment)
Dashboard KPIs / Indicators
• Total verified FLR area in district (Ha) with trend chart
• Number of registered farmers/groups by subcounty (heat map)
• Verification rate (%): share of Tier 1 submissions that have been field-checked
• Restoration type breakdown by area and intervention type
• Seedlings distributed from district nurseries vs. received from MWE
• Pending farm reports awaiting DFO review (flagged queue)
• District contribution (%) to national Bonn Challenge/AFR100 target Dashboard Actions & Tools
• Review and approve / query / reject Tier 1 farm submissions
• Assign field verification visits (calendar integration)
• Submit quarterly District FLR Report to MWE Regional Office
• Flag anomalies or suspected double-counting for regional review
• Manage district-level restoration project registry
• Generate district FLR certificates for verified farmers
• Download disaggregated district dataset for local planning
Verification Mechanism
Review and approval by MWE Regional Officer; independent remote sensing verification using Collect
Earth Online or equivalent satellite tool, cross-checking district boundaries against reported areas.

Tier 3 - Regional Level: “Regional FLR Dashboard”
MWE Regional Offices serve as the quality assurance and aggregation layer between districts and headquarters. They hold supervisory responsibility for multiple districts, enabling cross-district comparison, anomaly detection, and regional-level technical support. Their dashboard provides the analytical tools required to manage this oversight function effectively.
TIER 3 — MWE REGIONAL OFFICE LEVEL | PRIMARY USER: MWE Regional Forestry Officer
Primary Actor / User: MWE Regional Forestry; verified WEIS Tier 3 user.
Data Inputs & Collection Method
• Aggregated and verified Tier 2 district submissions from all districts within the region
• District DFO field inspection reports and verification certificates
• Regional MWE nursery and seedling distribution summaries (from WEIS FSSD module)
• Regional land-use and forest cover change maps (from NFMS/remote sensing layer)
• Reports from CSOs, NGOs, and private sector restoration projects active in the region
Dashboard KPIs / Indicators
• Total FLR area by district within the region (comparative bar/map view)
• Regional FLR trend: area under restoration over 3- year rolling period
• District verification compliance rate (% of submissions verified by DFO within 30 days)
• Restoration type distribution across the region
• Biodiversity and carbon co-benefit estimates (aggregated from verified Tier 2 data)
• Finance tracked: project budgets registered in the region’s FLR finance module
• Alert dashboard: districts with low reporting, anomalies, or verification backlogs
Dashboard Actions & Tools
• Approve district quarterly FLR reports before submission to HQ
• Conduct and record regional supervisory field visits
• Submit bi-annual Regional FLR Report to MWE HQ/FSSD
• Commission or coordinate targeted satellite verification of queried areas
• Coordinate multi-district restoration initiatives and NGO reporting in region
• Provide technical guidance and WEIS training support to district DFOs
• Generate regional FLR progress brief for regional media and stakeholder communications
Verification Mechanism
Review and approval by FSSD at MWE Headquarters; cross-validation against national NFMS forest cover change data and regional remote sensing outputs fromSEPAL/Google Earth Engine.

Tier 4 - National Level: “National FLR Command Centre”
The MWE Headquarters dashboard is Uganda’s authoritative, real-time FLR monitoring and reporting centre. It consolidates all data from the three lower tiers into a national picture, provides analytics for strategic decision-making and investment mobilisation, and enables one-click reporting to the Restoration Barometer, NDC tracking system, and other international platforms. It is equivalent to WRI’s TerraMatch national-level dashboard, which aggregates project-level data across 27 African countries into country- and portfolio-level views for funders and policymakers.

TIER 4 - MWE HEADQUARTERS / FSSD | PRIMARY USER: FSSD
Director, MWE Commissioner, National Reporting Team, Policy Makers

Primary Actor / User: DFM Department, MWE Commissioner for Environment, National FLR Focal Point; verified WEIS Tier 4 administrator user.
Data Inputs & Collection Method
• Aggregated and approved Tier 3 regional submissions from all MWE regional offices
• National Forest Monitoring System (NFMS) biophysical layer: forest cover gain/loss from remote sensing
• MWE annual forest cover trend data (existing WEIS/FSSD KPI)
• National seedling distribution totals (existing WEIS/FSSD KPI)
• Finance data: national FLR budget allocations, disbursements, private investment reported by region
• IUCN Restoration Barometer data template (for RB reporting cycle)
• NDC and REDD+ reporting templates (linked to national carbon accounting) Dashboard KPIs / Indicators
• National FLR area (Ha): total vs. Bonn Challenge / AFR100 target (2.5M Ha) — live progress bar
• National forest cover trend (from MWE / NFMS): annual change in Ha
• Breakdown by restoration type, region, and landuse category
• National carbon sequestration estimates from verified restoration areas
• Biodiversity co-benefit index (aggregated national score)
• Number of farmers/households engaged and jobs generated (national totals)
• FLR finance dashboard: total investment tracked, funding sources, financing gap vs. target
• Restoration Barometer readiness indicator: completeness of RB data fields (%)
• National MRV data quality scorecard: verification rates and data completeness by district/region
• Interactive national FLR map: georeferenced restoration polygons, colour coded by type and verification status
Dashboard Actions & Tools
• Generate and submit IUCN Restoration Barometer national report (one-click export)
• Generate NDC progress update and REDD+ periodic reporting outputs
• Generate AFR100 annual progress report
• Produce national FLR State of Progress Report (annual publication)
• Trigger national verification audits for regions or districts with anomalies
• Manage system-wide user access, permissions, and data integrity protocols
• Commission national-scale remote sensing verification through SEPAL/GEE
• Share aggregate public-facing data with WEIS public KPI portal (weis.mwe.go.ug/fssd)
• Interface with Treasury and donor reporting systems on FLR finance utilisation
Verification Mechanism
Independent third-party audit every two years; crossvalidation against NFMS national forest cover data; alignment check with IUCN Restoration Barometer verification protocol.

6. Benchmarking: International FLR-MRV Systems
The upgraded WEIS/FOMIS FLR-MRV system shall not be designed in isolation. A core requirement of this consultancy is that the system design is explicitly benchmarked against the best available and operational FLR-MRV systems globally, and that their proven features are adapted to Uganda’s national context. The systems listed below represent the current global state of practice and must be reviewed and documented by the consulting team during the Systems Architecture Audit (Phase 1).
System /Platform-Country /Scope-Tier Coverage-Key Features Key Lesson for WEIS/FOMIS
WRI TerraMatch / TerraFund MRV-27 African countries (incl. Uganda)-Farmer → National → Global-Mobile-first polygon collection (Flority app); offline capability; sixmonthly project reports;
AI-assisted satellite treecounting (1m resolution); TerraMatch dashboard for project, country, and portfolio views; nineindicator MRV framework covering biophysical, socioeconomic, and financial data; 98% cost reduction vs. traditional inventory.-Adopt the nested project-to-national architecture. Benchmark KPIs on TerraFund’s nine indicator categories. Explore integration of WRI’s AI tree-canopy dataset for independent satellite verification of Tier 1 and Tier 2 submissions.
Malawi National FLR Strategy Monitoring Framework- Malawi (first national FLR framework in Africa, 2018)- Household → District → National-First**-AFR100 country to-endorse a national FLR-strategy (2017); household-level Restoration Intensity Score (HRIS) linked to Food Consumption Score; Collect Earth mapathons for land-cover verification; multi-stakeholder National Restoration Platform (housed in Ministry); WRI Road to Restoration
methodology.-**Adopt householdlevel restoration intensity scoring as a Tier 1 indicator. Model the National Restoration Platform structure on Malawi’s multiministry platform.
Use Collect Earth Online for DFO and regional remotesensing verification.
Rwanda Cross- Sectoral Task Force Monitoring System -Rwanda-Farm →
District → National-Ministerially mandated cross-sectoral task force (2015); Agroforestry Task Force (2021) and Erosion Control Task Force (2022) coordinate sector-specific monitoring; all feed into national Vision 2050 / NDC reporting; coordinated multistakeholder verification.-Model Uganda’s TWG structure on Rwanda’s taskforce governance.
Establish sectorspecific subdashboards (agroforestry, woodlots, natural regeneration) within Tier 2 and Tier 4.
FAO / WRI Road to Restoration Framework- Global (applied in Kenya, Ethiopia, El Salvador,Malawi)-Project →Landscape → National-Step-by-step indicator selection process anchored to restoration goals; Restoration Goal Wheel tool; FAO/WRI matching indicators at national and landscape scale; Kenya Water Towers Agency created inclusive working group; El Salvador Ministry of Environment created multi-dimensional restoration index.-Use the Restoration Goal Wheel to codesign Uganda’s national indicator framework with stakeholders in Phase 2. Adopt FAO/WRI matched indicators as the bridge between Tier 1 field data and Tier 4 RB reporting.
IUCN Restoration Barometer-Global (Uganda is a participating country) National → Global-Flexible protocol tracking Bonn Challenge commitments; structured national data template; country progress profiling; online submission
platform; Barometer scores used to attract investment and influence policy.- The Tier 4 National FLR Command Centre must export data directly and completely to the RB template. The RB data fields must be reverse engineered into Tier 1–4 indicators during Phase 2 design to ensure full traceability.
**FAO Collect Earth / Collect Earth Online-Multi-country Africa (Cameroon, Ethiopia, Kenya, Malawi, Niger, Rwanda)-Landscape → National-Web-based collaborative land-cover assessment tool; Mapathon methodology engages local experts in visual land-cover identification; eliminates software installation; produces auditable land-use change statistics; low cost.-**Adopt as the standard remotesensing verification tool for Tier 2 (DFO) and Tier 3 (Regional) verification. Integrate Collect Earth Online outputs as the independent verification layer within the WEIS/FOMIS verification workflow.

Benchmark Requirement: The consulting team must produce a formal Benchmark Analysis Report (delivered as part of D2 - Systems Architecture & Gap Analysis) that: (a) documents the features of each system above; (b) assesses their applicability and adaptability to Uganda’s institutional and technical context; (c) specifies which features will be directly adopted, adapted, or excluded from the WEIS/FOMIS design; and (d) justifies each decision. The benchmark report must include evidence from direct engagement with at least two of the systems’ implementing teams.

7. Scope of Work and Key Tasks
The consultancy is executed in four phases. The four-tier dashboard architecture and benchmarking are cross-cutting themes throughout all phases. All system development work requires sign-off from WEIS system administrators at MWE before implementation.
Phase 1: Inception, Stakeholder Consolidation, and Systems Architecture Mapping (Months 1–3). This Phase will be contracted out and fully funded in 2026
Task 1.1 - Inception Report and Work Plan
Submit an inception report mapping the existing WEIS/FOMIS data architecture, including its current KPIs, and proposing a detailed month-by month work plan that addresses the Uganda Barometer Country Report findings.
Task 1.2 - Stakeholder Mapping
Expand the stakeholder map to all four tiers: individual farmers and community groups (Tier 1); DFOs and district natural resources officers (Tier 2); MWE regional officers (Tier 3); FSSD, MWE commissioners, MWE, NEMA (Tier 4). Establish formal communication and user registration protocols for each tier.

Task 1.3 - Systems Architecture Audit and Benchmark Analysis
• WEIS/FOMIS Technical Audit: Conduct a deep technical review of the WEIS Forestry module including data model, technology stack, KPI structure, geospatial capacity, API readiness, and user access management.
• Benchmark Analysis Report: Formally analyse and document the six benchmark systems specified in Section 6. Identify features for direct adoption, adaptation, or exclusion in WEIS/FOMIS design. Engage directly with implementing teams of WRI TerraMatch and Malawi’s national framework.
• WEMIS Ecosystem Mapping: Document integration points with EMIS, National Wetlands Information System, RUWAS, and WEIS Spatial Data Service (sds.weis.mwe.go.ug).
• NFMS Review: Analyse NFMS data structures and reporting cycles to define the integration protocol with WEIS/FOMIS.

Task 1.4 - FLR Initiative Inventory
Create a georeferenced, verified inventory of all FLR initiatives in Uganda, by tier, for integration into the upgraded WEIS/FOMIS project registry.

Phase 2: Methodological and Technical Design (Months 4–6) This Phase will be contracted out and fully funded in 2026
Task 2.1 - Four-Tier Dashboard Specification
Develop detailed technical specifications for each of the four dashboards (My Farm Dashboard, District FLR Dashboard, Regional FLR Dashboard, National FLR Command Centre) as described in Section 5. Specifications must cover: user interface wireframes; data fields at each tier; automated aggregation logic between tiers; role-based access control; mobile-first design requirements for Tier 1; and offline data-sync capability for Tier 1 field use.

Task 2.2 - National Indicator Framework
Facilitate stakeholder workshops to agree on Uganda’s national FLR indicator framework, mapped across all four tiers. The framework must be fully aligned with the benchmarked systems and must enable complete population of the Restoration Barometer data template from Tier 4 data. Indicators must cover: area and restoration type; tree count and survival; carbon and biodiversity; livelihoods and jobs; and restoration finance.

Task 2.3 - FOMIS Central Data Hub Upgrade Plan
• Expanded data model: Design the data model to include FLR-specific entities at each tier: farm polygons, intervention types, biophysical impacts, socioeconomic data, and a restoration finance module. Ensure new entities complement existing WEIS KPIs.
• Interoperability APIs: Specify APIs for FOMIS to connect with EMIS, NFMS, the WEIS Spatial Data Service, and the Restoration Barometer online platform.
• Offline mobile interface: Specify the Tier 1 offline-capable mobile application for farmer data entry, benchmarked on the TerraFund Flority app experience.
• Automated tier aggregation: Design the automated data roll-up logic between Tier 1→Tier 2→Tier 3→Tier 4 with built-in validation and anomaly flagging.

Task 2.4 - Methodological Protocols
• Area & baseline protocol: Guidance on intervention vs. impact area, pre-2010 activities, and linkage to MWE forest cover baselines in WEIS.
• Biodiversity assessment protocol: Practical scoring scheme compatible with WEIS data fields.
• Socioeconomic and jobs protocol: Methodology linking job types and headcounts across all tiers.
• Finance tracking protocol: Standard methodology for recording and apportioning FLR project finance at Tier 2–4 levels.
• Satellite verification protocol: Standard operating procedure for Collect Earth Online-based remote sensing verification at Tiers 2 and 3.

***Phase 3: Prototyping, Piloting, and Validation (Months 7–13)-*This Phase will be contracted out and fully funded in 2027
Task 3.1 - WEIS/FOMIS Prototype Development
Develop a functional, tested prototype of the upgraded WEIS Forestry module covering all four dashboard tiers, including the Tier 1 mobile data-entry interface and Tier 4 reporting exports. Prototype must be integrated with the existing WEIS portal and must not disrupt existing KPI services.

Task 3.2 - Pilot Site Selection
Select 2–3 pilot districts covering contrasting ecosystems and social contexts. At each site, recruit and register pilot participants at all four tiers: farmers, DFOs, Regional officers, and MWE HQ staff. Conduct pre-pilot training tailored to each tier’s dashboard.
Task 3.3 - Full Four-Tier Field Pilot
Execute a complete bottom-up data flow test: farmers enter data via Tier 1 mobile interface → DFO reviews and verifies in Tier 2 → Regional officer reviews and approves in Tier 3 → FSSD/MWE HQ receives aggregated national view in Tier 4 → pilot export to Restoration Barometer template. Document all technical issues, usability gaps, and data quality findings.
Task 3.4 - Validation Workshop
Present pilot results and the full prototype for national validation, with participants from all four tiers including pilot farmers and DFOs. Incorporate feedback into final system design.

Phase 4: Finalisation, Capacity Building, and Roll-out (Months 14–15) This Phase will be contracted out and fully funded in 2027
Task 4.1 - System Finalisation
Incorporate validation feedback to finalise the four-tier WEIS/FOMIS system and all associated protocols.

Task 4.2 - Tier-Specific User Manuals
• Tier 1 Manual: Farmer and community group guide to registering and using the My Farm Dashboard on mobile (with visual/pictorial format for low-literacy users).
• Tier 2 Manual: DFO guide to the District FLR Dashboard: reviewing submissions, conducting field verification, and submitting district reports.
• Tier 3 Manual: MWE Regional Officer guide to the Regional FLR Dashboard: oversight, approval workflows, and regional report generation.
• Tier 4 Manual: FSSD/MWE HQ guide to the National FLR Command Centre: national analytics, international reporting exports, and system administration.
• Technical Administrator Guide: Full system documentation for WEIS system administrators at MWE.

Task 4.3 - Capacity Development Plan
Produce a phased, costed national roll-out and training plan covering all four tiers, specifying training modalities, frequencies, and responsible agencies for each level.

Task 4.4 - Final Report
Submit a comprehensive final report synthesising all activities, lessons learned, benchmark comparisons, and governance recommendations for the long-term operation of the national FLR-MRV system within WEIS.

8. Expected Deliverables and Funding Timelines
No. -Deliverable-Description-Month
D1 Inception Report-To be contracted and fully funded in 2026-Month 2
Description
Detailed work plan, methodology, stakeholder engagement strategy, and initial WEIS/FOMIS architecture review.

D2 Systems Architecture, Gap Analysis & Benchmark Report -To be contracted and fully funded in 2026-Month 4
Complete audit of WEIS/FOMIS (current KPIs, data model, technology), WEMIS ecosystem, and NFMS; gap analysis for fourtier FLR-MRV; formal benchmark analysis of six reference systems.

D3 Technical Design Report -“Uganda FLR-MRV Framework”-To be contracted and fully funded in 2026-Month 6
Finalized four-tier indicator framework, technical specifications for all four dashboards (UI wireframes, data models, APIs, access control), offline mobile interface spec, and tier aggregation logic.

D4 WEIS/FOMIS Four-Tier PrototypeTo be contracted and fully funded in 2027-Month 11
Functional, tested prototype of all four dashboard tiers within the WEIS portal, including Tier 1 mobile interface, ready for piloting.

D5 Pilot and Validation Report-To be contracted and fully funded in 2027
Results from full four-tier pilot (farm to HQ data flow test), remote-sensing verification results, and validation workshop minutes.

D6 Final System, Tier- Specific User Manuals & Technical Guide-*To be contracted and fully funded in 2027-*Month 14
Fully operational upgraded WEIS/FOMIS four-tier system; all five user manuals (Tiers 1–4 + Admin); public-facing KPI updates on weis.mwe.go.ug/fssd.

D7 National Roll-out Strategy & Final Report *To be contracted and fully funded in 2027-*Month 15
Phased, costed national implementation and training plan for all four tiers; governance framework; final synthesis report.

9. WEIS/FOMIS Current Forestry Sector Module - Status and Integration Map
The following table documents the current data and services available via weis.mwe.go.ug/fssd and maps each to its role in the upgraded four-tier FLR-MRV system.

Current WEIS/FOMIS KPI-Description -Tier(s) Served-FLR-MRV Integration Role
Forest Cover Trends by MWE (Ha)-Tracks national forest cover over time in hectares, managed by MWE-Tier 4- National baseline and trend data for measuring FLR biophysical impact; primary input to MWE layer of Tier 4 National Command Centre.
Forestry Cover Details-Sub-national disaggregated forest cover statistics-Tiers 2, 3, 4-District and regional baselines for DFO and Regional Officer dashboards; enables comparison of FLR progress against degradation baseline.
Seedling Distribution Quantity-Volume of planting materials distributed by MWE-**Tiers 1, 2, 4-**Directly linked to Tier 1 My Farm Dashboard (seedling source field); aggregated by district in Tier 2; contributes to national planting material KPI.
**Distribution by Regions (2023/2024)-Regional breakdown of MWE seedling distribution-Tiers 3, 4-Feeds Regional FLR-Dashboard’s input-tracking layer; baseline for regional seedling demand forecasting.
Distribution of Districts-District-level MWE seedling distribution data-Tier 2-**Directly feeds District FLR Dashboard; DFO can crosscheck registered farm plantings against seedling distribution records to verify submissions.
**Planting Material Application Service-**Online MWE facility to apply for planting materials -Tier 1-Integrated into My Farm Dashboard: farmers apply for MWE seedlings as part of registering a restoration activity, creating automatic linkage between supply and planting records.
Forestry Sector Support Department | Ministry of Water and Environment | weis.mwe.go.ug/fssd

10. Institutional Arrangements and Governance
The project will be overseen by a Project Steering Committee, co-chaired by MWE, with members from NEMA, the Uganda Wildlife Authority, MWE (as custodian of WEIS forestry data), the Association of Uganda Professional Foresters, and CSO/private-sector representatives.

A Technical Working Group (TWG) modelled on Rwanda’s effective cross-sectoral task force structure will be reactivated and expanded to include DFO representatives (Tier 2), MWE regional officers (Tier 3), and WEIS system administrators. The TWG will meet bi-monthly. All WEIS/FOMIS development activities require sign-off from the WEIS system administration team at MWE before implementation.

11. Duration and Budget
The assignment is expected to be completed within 15 months of the contract start date. The assignment will be funded in two (2) non-binding Phases: Phase I and Phase 2 in 2026 and Phase 3 and Phase 4 in 2027, depending on the availability of additional funds, and IUCN is not legally obliged to proceed to Phases 3 and 4. The financial proposal must include a comprehensive budget breakdown covering:
• Professional fees for all team members
• Field missions to pilot sites, including Tier 1 farmer engagement and Tier 2 DFO training
• National and district-level stakeholder workshops at all four tiers
• Hardware/software for WEIS/FOMIS development, mobile app prototyping, and Tier 1 device procurement (pilot)
• Satellite verification costs (Collect Earth Online, SEPAL, or GEE processing) for Tier 2 and Tier 3 verification workflows
• Benchmark engagement costs: travel or virtual sessions with WRI TerraMatch and Malawi national framework teams
• Capacity building and production of all five tier-specific user manuals
• A sustainability reserve for ongoing WEIS/FOMIS hosting and maintenance in Year 1 postdeployment

12. Qualifications and Expertise of the Consulting Team
12.1 Team Leader / Senior MRV Specialist
Advanced degree in forestry, environmental science, or related field; minimum 10 years designing MRV systems for REDD+ or FLR; strong familiarity with Uganda’s policy context and the WEIS/WEMIS platform; demonstrated knowledge of the WRI TerraFund MRV framework or equivalent nested monitoring systems.

12.2 National Systems & Database Architect (Lead WEIS/FOMIS Upgrade)
Critical and non-negotiable role. A Ugandan national with expert-level working knowledge of the WEIS/FOMIS architecture as deployed at weis.mwe.go.ug, specifically including the FSSD Forestry module. Must demonstrate: experience in multi-tier web application design and development; database architecture, including geospatial data models; REST API design and integration; mobile-first / offlinecapable application development; and role based access control systems. Evidence of prior work on WEIS or WEMIS components is highly desirable.

12.3 Remote Sensing / GIS Specialist
Expertise in SEPAL, Google Earth Engine, and Collect Earth Online; experience in land-cover change analysis and integration of satellite data into national MRV systems. Familiarity with WRI Land & Carbon Lab datasets and the WEIS Spatial Data Service is advantageous.

12.4 Forest Inventory and Carbon Specialist
Proven experience in forest inventories and carbon assessments; working knowledge of NFMS data and how MWE forest cover data is structured and reported through WEIS; ability to design carbon monitoring protocols compatible with the four-tier WEIS/FOMIS data model.

12.5 Social Scientist / Livelihoods and Finance Economist
Experience in participatory monitoring, socioeconomic surveys, and restoration finance tracking; ability to design Tier 1 farmer survey instruments compatible with WEIS/FOMIS data entry; experience with the WRI Road to Restoration framework’s socioeconomic indicators is an advantage.

12.6 Stakeholder Engagement and Capacity Building Specialist
Proven track record in facilitating multi-stakeholder processes and designing tiered training programmes for government audiences at all levels; experience in training district officials on digital data platforms; ability to design pictorial/visual training materials for low-literacy Tier 1 users.

16. Payment Schedule
Payments shall be made in three (4) instalments, linked to the satisfactory completion and approval of deliverables by IUCN, and according to the payment schedule in the table below:

Payment schedule for Phases I&II
No.-Deliverable-Description-Month-%age
**D1 Inception Report-***To be contracted and fully funded in 2026-Month 2 -*20%
Detailed work plan, methodology, stakeholder engagement strategy, and initial WEIS/FOMIS architecture review.

D2 Systems Architecture, Gap Analysis & Benchmark Report To be contracted and fully funded in 2026-Month 4**-40%**
Complete audit of WEIS/FOMIS (current KPIs, data model, technology), WEMIS ecosystem, and NFMS; gap analysis for four-tier FLR-MRV; formal benchmark analysis of six reference systems.

D3 Technical Design Report - “Uganda FLR-MRV Framework” *To be contracted and fully funded in 2026-Month 6 -*40%
Finalized four-tier indicator framework, technical specifications for all four dashboards (UI wireframes, data models, APIs, access control), offline mobile interface spec, and tier aggregation logic.

To be contracted and fully funded in 2027
D4.1) WEIS/FOMIS Four-Tier Prototype
D5. 2) Pilot and Validation Report
D6. 3) Final System, Tier-Specific User Manuals & Technical Guide
D7. 4) National Roll-out Strategy & Final Report

14 Data Ownership and Confidentiality
IUCN follows the European Union’s General Data Protection Regulation (GDPR). The information you submit to IUCN as part of this procurement will be treated as confidential and shared only as required to evaluate your proposal in line with the procedure explained in this RfP, and for the maintenance of a clear audit trail. For audit purposes, IUCN is required to retain your proposal in its entirety for 10 years and make this available to internal and external auditors and donors as and when requested.

15 Evaluation Criteria
The evaluation will be conducted using the evaluation criteria in table below:

Evaluation criteria
SN-Technical Evaluation Criteria-Scores
1. Level of understanding of the assignment objectives and tasks-10
2. Being able to define the scope of work in sufficient detail-10
3.Articulation of how each objective and task will be executed giving sufficient detail while directing proper level of effort towards each objective and task-20
4.Level of understanding of the expected outputs and providing technical solutions and expected outcomes-15
5.Being able to define the equipment, techniques, tools, approaches and
methodologies to be used in executing the assignment.-15
6.Providing assignment schedule in conformity with the assignment scheduling
and duration-10
7. Experts CV qualifications, expertise, and past work experience matching with current assignment-20
TOTAL SCORE 100

16 About IUCN
IUCN is a membership Union uniquely composed of both government and civil society organisations. It provides public, private and non-governmental organisations with the knowledge and tools that enable human progress, economic development and nature conservation to take place together.

Headquartered in Switzerland, IUCN Secretariat comprises around 1,000 staff with offices in more than 50 countries.

Created in 1948, IUCN is now the world’s largest and most diverse environmental network, harnessing the knowledge, resources and reach of more than 1,300 Member organisations and some 10,000 experts. It is a leading provider of conservation data, assessments and analysis. Its broad membership enables IUCN to fill the role of incubator and trusted repository of best practices, tools and international standards.

IUCN provides a neutral space in which diverse stakeholders including governments, NGOs, scientists, businesses, local communities, indigenous peoples organisations and others can work together to forge and implement solutions to environmental challenges and achieve sustainable development.

Working with many partners and supporters, IUCN implements a large and diverse portfolio of conservation projects worldwide. Combining the latest science with the traditional knowledge of local communities, these projects work to reverse habitat loss, restore ecosystems and improve people’s well-being.
www.iucn.org
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How to apply

Step 1: Acquire Tender Documents
Obtain the relevant tender documents.

Step 2: Review Requirements
Thoroughly read the tender specifications, terms, and conditions.

Step 3: Prepare Proposal
Prepare your proposal as guided, ensuring all the required information is included.

Step 4: Submission
Submit your completed proposal by the submission deadline via the email address tenders.ug@iucn.org

N.B: Please note that the email to be used exclusively for this consultancy is tenders.ug@iucn.org