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Monitoring and Evaluation Plan Strengthening Agro-climatic Monitoring and Information Systems (SAMIS) to improve adaptation to climate change and food security in LAO PDR (GCP/LAO/021/LDF)

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Page 1: Monitoring and Evaluation PlanVientane, LAO PDR November 2018. Strengthening Agro-climatic Monitoring and Information Systems (SAMIS) to improve adaptationto climate change and food

Monitoring and Evaluation Plan

Strengthening Agro-climatic Monitoring and Information Systems (SAMIS) to improve adaptation to climate change and food security in LAO PDR

(GCP/LAO/021/LDF)

Page 2: Monitoring and Evaluation PlanVientane, LAO PDR November 2018. Strengthening Agro-climatic Monitoring and Information Systems (SAMIS) to improve adaptationto climate change and food
Page 3: Monitoring and Evaluation PlanVientane, LAO PDR November 2018. Strengthening Agro-climatic Monitoring and Information Systems (SAMIS) to improve adaptationto climate change and food

Monitoring and Evaluation Plan

Vientane, LAO PDRNovember 2018

Strengthening Agro-climaticMonitoring and InformationSystems (SAMIS) to improve adaptationto climate change and food security in LAO PDR(GCP/LAO/021/LDF)

Published by: Food and Agriculture Organization of the United Nations and Ministry of Natural Resources and Environment, Lao PDR and Ministry of Agriculture and Forestry,Lao PDR

Authors: Mr. Phommachanh Phothichanh Dr. Monica Petri

Page 4: Monitoring and Evaluation PlanVientane, LAO PDR November 2018. Strengthening Agro-climatic Monitoring and Information Systems (SAMIS) to improve adaptationto climate change and food

The copyright/disclaimer

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The designations employed and the presentation of material in this information product do not imply the expression of any opinion whatsoever on the part of the Food and Agriculture Organization of the United Nations (FAO), Ministry of Natural Resources and Environment (MONRE), or Ministry of

Agriculture and Forestry (MAF) concerning the legal or development status of any country, territory, city or area or of its authorities, or concerning the delimitation of its frontiers or boundaries. The mention of specific companies or products of manufacturers, whether or not these have been patented, does not imply that these have been endorsed or recommended by FAO, MONRE, or MAF in preference to others of a similar nature that are not mentioned.

The views expressed in this information product are those of the author(s) and do not necessarily reflect the views or policies of FAO, MONRE or MAF.

ISBN 978-92-5-131208-7 (FAO)© FAO, 2019

FAO encourages the use, reproduction and dissemination of material in this information product. Except where otherwise indicated, material may be copied, downloaded and printed for private study, research and teaching purposes, or for use in non-commercial products or services, provided that appropriate acknowl-edgement of FAO as the source and copyright holders is given and that FAO’s endorsement of users’ views, products or services is not implied in any way.

All requests for translation and adaptation rights, and for resale and other commercial use rights should be made via www.fao.org/contact-us/licence-request or addressed to [email protected].

FAO information products are available on the FAO website (www.fao.org/publications) and can be purchased through [email protected]

Photo cover: ©IFAD/Jim Holmes

Page 5: Monitoring and Evaluation PlanVientane, LAO PDR November 2018. Strengthening Agro-climatic Monitoring and Information Systems (SAMIS) to improve adaptationto climate change and food

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Contents »IV .................................................................................. LIST OF TABLES FIGURES AND MAPS

V ..........................................................................................................................................PREFACE

VI .........................................................................................................................ABBREVIATIONS

SECTION 1

1 ............................................................................................................................INTRODUCTION 2 ................................................................................................................... PROJECT OVERVIEW 3 ..........................................................2.1 PROJECT OBJECTIVES4 ..........................................................2.2 PROJECT COMPONENTS, OUTCOMES AND OUTPUTS6 ............................................................................................................................METHODOLOGY

8 .....................................................................................................................MONITORING PLAN

12 ................................................................................................................... EVALUATION PLAN 12 .......................................................5.1 REPORTS AND REPORTING14 .......................................................5.2 BASELINE DATA AND METHODS 14 .......................................................5.3 IMPACT ASSESSMENT METHODS17 .............................................................................................................................CONCLUSIONS

SECTION 2

18 ..............................APPENDIX 1 - TARGET INDICATORS BY PROJECT COMPONENTS

18 ............................................................................................................................................COMPONENT 1:22 ............................................................................................................................................COMPONENT 2:27 ............................................................................................................................................COMPONENT 3:30 ..........................................................................................APPENDIX 2 - FORMAT FOR PPR

30 .......................................................................................................................................FUNDING SOURCE 30 ....................................................................................................................................... PROJECT SYMBOL 30 .............................................................................................................................................PROJECT TITLE30 .................................................................................................................................. REPORTING PERIOD30 ...SUPERVISION MISSIONS/VISITS CARRIED OUT DURING THE REPORTING PERIOD 31 ...........................................................................................APPENDIX 3 - FORMAT FOR PIR 31 ........................................................................................................................... 1. BASIC PROJECT DATA 31 ...........................................................................................................................2. PROJECT OBJECTIVES31 ...................................................3. PROGRESS TOWARDS ACHIEVING PROJECT OBJECTIVES31 ......... 4. PROGRESS IN GENERATING PROJECT OUTPUTS DURING IMPLEMENTATION

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10 Table 1 Detailed project monitoring plan13 Table 2 Summary of project monitoring and impact assessment reports, responsible agencies, time frame and deadline for submission15 Table 3 Impact indicators

Tables»

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Abbreviationsand acronyms

»AMAT Adaptation Monitoring and Assessment ToolAWP/B Annual Workplan and BudgetAWS Automatic Weather StationBH Budget HolderCAgMD Climate and Agro-meteorology DivisionCAWA Climate Adaptation in Wetland AreasCEO Chief Executive Officer of GEFDAFO District Agriculture and Forestry OfficeDMH Department of Meteorology and HydrologyDID Difference-in-differencesEWS Early Warning SystemFAO Food and Agriculture Organization of the United NationsFFS Farmers Field SchoolFPMIS Field Project Management Information SystemGCU GEF Coordinating UnitGEF Global Environment FacilityHH HouseholdLDCF Least Developed Country Fund of GEFLTO Lead Technical OfficerMAF Ministry of Agriculture and ForestryM&E Monitoring and EvaluationMONRE Ministry of Natural Resources and EnvironmentNAPA National Adaptation Programme of ActionNPD National Project DirectorPAFO Provincial Agriculture and Forestry Office PIR Project Implementation ReviewPMU Project Management UnitPPR Project Progress ReportPSC Project Steering CommitteeRF Results FrameworkSOP Standard Operating ProcedureTCSR FAO Resource Mobilization and Operations Support ServiceTOR Terms of ReferencesUSD United Stated Dollar

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1INTRODUCTION »

This Monitoring and Evaluation (M&E) Plan is prepared for the project “Strengthening Agro-climatic Monitoring and Information Systems (SAMIS) to improve adaptation to climate change and food security in Lao PDR”.

The project is funded by the Global Environmental Facility (GEF) under its Least Developed Country Fund (LDCF). The M&E Plan covers monitoring of project per-formance and evaluation of project impacts. Monitoring is used for performance evaluation through assessing success of the project in achieving its time bound targets and objectives whereas the project impacts evaluation is done through the data generated from project studies and analysis as well as baseline survey, mid-term survey and end of the project evaluation. Both project performance and im-pact evaluation will contribute to improve decision making and management, for keeping the project on track towards achieving the outcomes and objectives and by integrating lessons learnt into planning.

The monitoring and evaluation plan for the project will serve two functions: first, periodic assessment of project implementation and performance of activities, and second, evaluation of their results in terms of relevance, effectiveness and impact in promoting the adaptation through reducing vulnerability and increasing adaptive capacity of the smallholder farmers.

The next section presents an overview of the project along with goals, objectives, components, outcomes and outputs. The third section presents methodology that will be used for monitoring and evaluation. The fourth section presents provisions for monitoring and fifth section presents about evaluation. Finally, section six con-cludes the monitoring and evaluation plan.

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2PROJECT OVERVIEW

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The project will enable the data shar-ing and information management in order to reinforce and speed up the

national, provincial and local level planning and decision making in the context of Min-istry of Natural Resources and Environment (MONRE) and Ministry of Agriculture and Forestry (MAF) activities. First, it will setup information infrastructures and function-al and standardized agro-meteorological data analysis procedures. Secondly, it will improve monitoring and analysis of agri-cultural production systems by structuring an information sharing scheme including both agro-ecological and socio-economical scenario information. Agro-meteorological assessment and scenario simulation will support decision-making in relation to ag-riculture and food security at national, pro-vincial and farm levels. The project will ad-dress monitoring, observation, analysis, data storage, and development of value-added information products, promote sharing, and better inform agricultural decision-making. The national, provincial, and local staff of the Department of Meteorology and Hydrology (DMH) within the Ministry of Natural Re-

sources and Environment (MONRE) and of the Department of Agricultural Land Man-agement (DALaM) within the Ministry of Ag-riculture and Forestry (MAF) will be trained on agro-climatic and land resources informa-tion systems. The information systems will benefit multiple sectors and will be devel-oped in close collaboration with other devel-opment partners working on similar areas.

In the framework of the first objective, the project will install 15 new agro-meteorolog-ical weather stations (AWS) and will reha-bilitate 15 existing manual ones. In addition, high performance computing systems for data archival and analysis will be established with at least 5 nodes for the data entry per-sonnel and connected to an early warning system (EWS) and also equipped to receive data from AWS. Three new near-real time products will be available at the DMH (sea-sonal, monthly, and decadal forecast) with appropriate standard operating procedures (SOP). A total of more than 200 national or local level staff will be trained in order to make the process sustainable.

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The second objective will enable the prepa-ration of a customized Land Resources Infor-mation Management System (LRIMS) and the Agro-Ecological Zoning and socio-agricul-tural impact scenarios available for at least seven major production zones prioritized by MAF. At least two customized application software delivered and 100 national staff will be trained. The entire process will enable to insert concern about data sharing and infor-mation management in four of policies and plans prioritizing the new adaptation strat-egies.

In addition, the agro-meteorology advisory will be diffused at field level. It will employ a participatory learning and doing approach through farmer field schools in Xe Champone and Beung Kiat Ngong districts to reduce the vulnerability and promote adaptive capac-ity to effectively respond to the impacts of climate change through the distribution of farmers’ agrometeorological advisory servic-es. In addition, the project will also conduct awareness raising in Salavan, Luangnamtha, and Vientiane Province.

The project contributes to national priorities under National Adaptation Programme of Ac-tion (NAPA), Strategy on Climate Change, Dis-aster Management Strategy and Plan (2003 – 2020), and to the Agricultural Development Strategy (2011 – 2020). The project focuses on GEF LDCF objectives (i) CCA-2: increasing adaptive capacity and (ii) CCA-3: adaptation technology transfer. The project is consist-ent with FAO Strategic Objective 2 (Increase and improve provision of goods and services from Agriculture, forestry, and fisheries in a sustainable manner) and Strategic Objective 5 (Increase the resilience of livelihoods to threats and crises). Also, it is consistent with the Country Programming Framework (CPF) priority 4 on enhanced capacity of Govern-ment and communities to adapt and mitigate climate change and reduce natural disaster vulnerabilities related to Agriculture, forest-ry, and fisheries. The project will be imple-mented for a period of three and half years (June 2017– May 2021) with a total budget of USD 5,479,452 and co-financing of USD 16,130,000.

2.1 Project Objectives

The project objective is to enable the data sharing and information management in order to reinforce and speed up the national, provincial and local level planning and decision

making. The project’s detailed objectives are twofold. First, it will enhance monitoring, anal-ysis, communication, and use of agro-meteorological data and information for decision-mak-ing in relation to agriculture and food security national and provincial levels. Secondly, it will improve monitoring and analysis of agricultural production systems by developing a Land Resources Information Management Systems (LRIMS) and the Agro-Ecological Zoning (AEZ) to support agricultural policies and climate-change adaptation.

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2.2 Project components, outcomes and outputs

[ Component 1 ]Strengthening agro-climatic monitoring, analysis, com-munication and use of data and information for decision making in Agriculture and food security

Outcome 1.1 Improved agro-me-teorological monitoring, communi-cation and analysis facilities estab-lished at national and provincial level.

Output 1.1.1: Agro-meteorological station networks improved/ re-ha-bilitated with both conventional and automatic weather stations to increase coverage in the major Agri-cultural production areas.

Output 1.1.2: Improved data cod-ing and communication facilities upgraded to enhance connectivity of Department of Meteorology and Hydrology (DMH) with provincial level sub-units and users at all levels

Output 1.1.3: Laboratory for agro-meteorological analysis, in-strument calibration and geospatial climate data access, monitoring, processing facilities established and functioned at DMH, Vientiane.

Outcome 1.2: Institutional and tech-nical capacity strengthened to facili-tate data sharing, archiving, analysis and interpretation of agro-mete-

orological information products to users at all levels.

Output 1.2.1: Standard Operating Procedures (SOPs) for climatology and agro-meteorology division of DMH and guidelines for installation of instruments and observation, data coding and maintenance devel-oped and staff trained.

Output 1.2.2: Development and de-livery of training packages relevant to climatology and agro-meteorolo-gy, communication and application of climate and agro-meteorological information by users.

[ Component 2 ]Strengthening institutional and technical capacity for monitoring and analysis of Agriculture production systems and development of Land Resources Informa-tion Management Systems (LRIMS) and Agro-Ecological Zoning (AEZ)

Outcome 2.1 Integrated Land Re-sources Information Management System (LRIMS) and High resolution Agro-Ecological Zones (AEZ) and agriculture production Systems at Risk (SaR) developed based on agricultural resources (climate, land, soil, water and crops).

Output 2.1.1: Land Resources Information Management System

(LRIMS) and customized applica-tions designed, developed, tested and delivered with computing facil-ities for monitoring and assessment of land suitability.

Output 2.1.2: Available data and in-formation on land, soil, water, crops and socio-economics synthesized and National-Agro-Ecological Zoning (NAEZ) and information portal de-veloped, tested and delivered.

Output 2.1.3: Impact scenarios of water availability, crop yield and socio-economics for all major agro-ecological zones assessed and adaptation strategies developed

Outcome 2.2: Technical capacity developed for sustained operation and use of LRIMS, Socio-Agricultural Vulnerability Assessment (SAVA), AEZ and agriculture production Sys-tems at Risk for policy formulation and adaptation planning in Agricul-ture sector.

Output 2.2.1: Training resources on LRIMS, AEZ, SAVA scenario develop-ment and selection of main indicator developed and training programme conducted.

Output 2.2.2: Training resources on assessment of impact scenarios and adaptation strategies devel-oped based on revised LRIMS, SAVA, NAEZ and integrated into the major Agriculture development policies and plans

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Outcome 3.1: Knowledge and information sharing for local ap-plication, Agriculture and food security planning and program-ming and project outcomes/out-puts monitored and evaluated to ensure sustainability.

Output 3.1.1: Local application of climate information and loca-tion specific adaptation strate-gies facilitated through Farmer Field Schools (FFS) in close coor-dination with climate adaptation in wetland areas (CAWA) project activities.

Output 3.1.2: Knowledge and information sharing workshops conducted and best practices, key lessons disseminated via publications, project websites and others to facilitate wider awareness and utilization in oth-er climate sensitive sectors

Output 3.1.3: Project M&E sys-tem established to monitor activ-ities and outputs systematically at all levels (national, provincial and local) and outcomes evalu-ated

[ Component 3 ]Knowledge management and dissemination of in-formation and lessons learned for local application, planning, monitoring and evaluation

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3METHODOLOGY »

Monitoring of progress in achieving project results and objectives will be done based on the targets and indicators established in the project Results Framework (RF). Monitoring and evaluation activities will follow FAO and GEF monitoring and evaluation guidelines.

The project will be monitored closely by FAO (Lead Technical Officer - LTO - and GEF Coordination Unit - GCU) and by the Project Steering Committees through semi-annual reports, technical reports, and regular technical supervision missions fielded as required to enhance success. The monitoring data will be collected by the project staff as well as government counterparts. Reporting of day-to-day monitoring of implementation progress will be the responsibility of the Project Coordinator based on the project’s annual workplan and outputs indicators. The details on the monitoring plan are presented in Section 4.

The data collection will be offline. The Offline Data Collection used for monitoring by Monitoring Teams during of field visits, mid-term review, and final evaluation will be based in KoBo for creating the forms, database and analyse the data.

The data analysis will use MS Excel and R software. The data will be cleaned and compiled and con-solidated in MS Excel sheets. All results of qualitative and quantitative analysis will be presented in the report and all the raw data on MS Excel files.

The evaluation will use the Adaptation Monitoring and Assessment Tool (AMAT) developed by GEF to measure progress toward achieving the outputs and outcomes established at the portfolio level under the LDCF results framework. The tracking tool is expected to be used three times during the life of the project, with the first instance being before GEF CEO endorsement of the PPG materials. The tracking tool will be used again at the time of mid-term evaluation, and a third time when pre-paring the terminal reporting. Data to support preparation of the AMAT indicators will be collected every year.

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Mid-term and final evaluations will be conducted by external evaluators re-cruited by the project. The key indicators for evaluation of outputs and outcomes are presented in the results framework in Appendix I. Indicators

provide parameters against which to assess project performance and achievement in terms of quantity, time, target group and quality. Some indicators are quantitative, whereas some others are semi-quantitative (scale, ranking), or qualitative (percep-tions, opinions, categories). The indicators have been further reviewed and refined during the development of this Monitoring and Evaluation Plan after that activities have been reviewed during the project inception phase. Details in the evaluation plan are presented in Section 5.

In addition, project impact is also analysed, in term of sustainability, financial risk and governance risks. Sustainability is understood as the likelihood of continued benefits after the project ends. Given the uncertainties involved, it may be difficult to have real-istic a priori assessment of sustainability of outcomes. So, assessment of sustainability of outcomes will give special attention to analysis of the risks that are likely to affect the persistence of project outcomes. This assessment should explain how the risks to project outcomes would affect continuation of benefits after the project ends. It will include both exogenous and endogenous risks and will be conducted through stake-holders’ or field level studies.

Financial risks may jeopardize sustainability of project outcomes, the likelihood of fi-nancial and economic would not being available after project end. So, the resources can be sought from multiple sources, such as the public and private sector; these can be also including trends that indicate likelihood that, in future, there will be adequate financial resources for sustaining project outcome. An analysis of financial risk will be conducted at the end of the project to assess the private sector use of the project data.

Institutional framework and governance risks will be evaluated through a study after the completion of the project activities. Governance structures and processes with-in which the project operates pose risks that may jeopardize sustainability of project benefits, and requisite systems for accountability and transparency, and required tech-nical know-how in place.

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4MONITORING PLAN

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Monitoring will be used for performance evaluation through assessing success of the project in achiev-ing its time bound targets and objectives. The mon-

itoring will focus on management and supervision of pro-ject activities, seeking to improve efficiency and overall effectiveness of project implementation. The monitoring will be pursued continuously to collect information on ac-tual implementation of project activities compared to those scheduled in the annual work plans. This will mainly in-clude four aspects, (a) delivery of quality outputs in a time-ly manner, (b) identification of problems and constraints (technical, human resource, and financial), (c) clear recom-mendations for corrective actions, and (d) identification of lessons learned and best practices for scaling up.

The monitoring of the project performance will focus on information related to project implementation process, inputs, activities and outputs. Monitoring through regular collection of project specific data by the project management unit and project stakeholders will facilitate tracking of outputs and outcomes achieved (to compare planned/versus achieved) and better assess the effects of both external factors and internal project operations. It will also help in identifying lessons learned and solutions to keep the project on track. Infor-mation collected will also help inform assessments of the overall costs and benefits of the project including any externalities and spill-overs. A detailed schedule for periodic monitoring reports is available in Table 1. The flow of information between project stakeholders is available in Figure 1. The sum-marized monitoring measures will be the following:

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Component 1i. Periodic reports of DMH, and Provin-

cial DMH stations;

ii. Semi-annual and annual reports of project implementation using ap-proved formats;

iii. Annual review of the outputs and possible outcomes;

iv. Project Steering Committee meeting at half yearly intervals;

v. Field visits and observations by National Monitoring Teams after me-teorological station installation;

vi. Station visits and observations by National Monitoring Teams;

vii. Discussions with the Provincial DMH staff;

viii. Content analysis of publications in

local and national media.

Component 2i. Periodic reports of DALaM and by

PAFO and DAFO in case locally based adaptation strategies are selected;

ii. Semi-annual and annual reports of project implementation using ap-proved formats;

iii. Annual review of the outputs and possible outcomes;

iv. Project Steering Committee meeting at half yearly intervals;

v. Discussions with the PAFO and DAFO in case locally based adaptation strat-egies are selected;

vi. Content analysis of publications in

local and national media.

Further, the monitoring by the FAO Regional Office, GCU and GEF Secretariat will be based on the major three reports as follows.

Component 3i. Periodic reports of DMH, DALaM and

district level staffs PAFO and DAFO;

ii. Semi-annual and annual reports of project implementation using ap-proved formats;

iii. Annual review of the outputs and possible outcomes;

iv. National level progress review by DALaM, Ministry of Agriculture and Forestry and DMH, Ministry of Natu-ral Resource and Environment

v. Project Steering Committee meeting in half yearly interval;

vi. Field visits and observations by Na-tional Monitoring Teams;

vii. Progress review at the provincial and district level meetings of Provincial Agriculture and Forestry Office, Dis-trict Agriculture and Forestry Office, Provincial DMH stations

viii. Field visits and observations by the District Technical Teams;

ix. Discussions with the farmers groups;

x. Content analysis of publications in local and national media.

i. Project Inception Report: Project inception report has been developed by the Project Management Unit (PMU) and revised and ap-

proved by the Lead Technical Officer (LTO) and the GEF Coordination Unit (GCU) in consultation with the BH. The Inception Report is

a key reference document and it is shared with government counterpart to formalize various agreements and plans decided during

the inception phase and the inception workshop. It also includes a detailed AWP/B for the year 2018 along with a detailed project

monitoring and reporting plan.

ii. Bi-annual Project Progress Reports (PPR): The PPRs will be prepared based on the systematic monitoring of output and outcome

indicators identified in the project’s results framework (available in Appendix I). The purpose of the PPR is to identify constraints,

problems or bottlenecks that impede timely implementation and to take appropriate remedial actions. In consultation with the Na-

tional Project Director (NPD), the PMU will prepare semi-annual PPRs and submit them to the BH in a timely manner. Each PPR will be

submitted by the BH to the LTO for review on a no-objection basis. In the event of LTO/GCU comments, the PMU will incorporate them

and the revised PPR will be re-submitted to the LTO for final endorsement prior to final approval by the Government, uploading in

FPMIS and sharing with stakeholders. A format for PPR is available in Appendix II.

iii. Annual Project Implementation Review (PIR): The PMU will prepare the annual PIR covering the period July (the previous year)

through June (current year) for a complete year. The draft PIR will then be reviewed by the LTO and subsequently submitted by the BH

to the GCU for review and approval no later than 10 September each year. The GCU will upload the final report on FPMIS and submit

it to the GEF Secretariat and Evaluation Office as part of the Annual Monitoring Review report of the FAO-GEF portfolio. The GCU will

provide the updated format when the first PIR is due.

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Table 1Detailed project monitoring plan (considering activities startup in June 2017 as per first expenditure)

M&E Activity Responsible Parties Time frame Deadline for reporting

1 Inception Workshop PMU, supported by the NPD. September 2017 November 2017

2 Project Progress Report (PPR)

PMU, with inputs from NPD and other partners.

PPR1: December 2017 to June 2018PPR2: July 2018 to December 2018 PPR3: January 2018 to June 2019PPR4: July 2019 to December 2019 PPR5: January 2019 to June 2020PPR6: July 2020 to December 2020PPR7: January 2020 to June 2021

July 2018 January 2019 July 2019 January 2020July 2020 January 2021July 2021

3 Project Implementation Report (PIR)

PMU and BH, with inputs from NPD and other partners, supported by the LTO and cleared and submitted by the GCU to the GEF Secretariat.

July 2017 to June 2018July 2018 to June 2019July 2019 to June 2020July 2020 to June 2021

July 2018July 2019July 2020July 2021

4Monitoring by the Regional Directorates of DPCs/DOIs/DOFs and DoPCs

Regional Directorates in close collab-oration with concerned DPCs/DOIs/DOFs and DoPCs. PMU will coordi-nate the monitoring in collaboration with the technical experts since the setup of FFS starts.

December 2018June and December 2019June and December 2020this is only relevant for comp 1, Output 1.1.1 for the installation and rehabil-itation of weather stations and comp 3, Output 3.1.1. for the functionality of climate services adopted in collabora-tion with CAWA FFS)

To be requested within a month of field visit

5 PSC meeting PSC members and NPD. Twice in a year Jan/Feb and Jun/Jul each year (tentative)

6 Annual planning meet-ings PMU, supported by the LTO and BH.

Inception Workshop (IW)Annual Planning Meeting 1Annual Planning Meeting 2Annual Planning Meeting 3

Sept 2017 (IW)June/July 2018June/July 2019June/July 2020

7Supervision visits and rating of progress in PPRs and PIRs

LTO, other participating units. Annual To be decided as per need

9 Impact studies Impact studies. End of the third year June-July 2020

10 Final project workshop PMU, supported by the LTO and BH April 2021

Table 1 In addition to the above periodic reports, technical reports will be prepared as part of project outputs and end of assignment reports documenting outputs and lessons learnt by consultants and contracted entities. Upon completion of the missions, consultants will submit reports to FAO. These will be shared with the LTO for review and clearance. Such reports will be shared with the government after receiving and technical clearance from the LTO, as appropriate. Regular meeting minutes will be prepared by the PMU and forwarded to the FAO for record keeping and NPD for sharing in the PSC meetings, as required. During the project development, impact assessment studies will be conducted to support the final evaluation.

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Frequency of Monitoring Reports Flow of Monitoring Reports

GEF Secretariat

1. Annual PIR2. Mid Term Review Report and Management Responses3. Terminal Evaluation Report and management responses

FAO HQ1. Same as above, and2. 6 monthly reports

GEF OFP Office FAO Lao PDR Project Steering Committee

1. All of aboveProject Management Unit

2. Technical reports: Result based

DMH/MONRE DALAM/MAF

3. Technical reports Results based

MoU/LoA/ Consultants

MoU/LoA/ Consultants 3

4. Technical reports (DAFO) Results based

Province - PONREDistrict - DAFO

5. Technical reports since year 2 Decadal reports

Farmers’ Field Schools

6. Evaluation Local community

Figure 1 Flow of monitoring information

LEGEND Interchange between PSC, Internal FAO offices and the GEF • Through approved reports Interchange between LRIMS and agro-meteorology activities (component 1 and 2)• Through annual lessons learning and work planning workshops • Sharing of written reports between sites • Designing web or software application using and interchanging data Sharing data to Farmers’ Field Schools and rest of the community• Local level events and awareness raising• Radio

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5EVALUATION PLAN

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The project impacts will be evaluated through the data generated from baseline survey (conducted during the PPG or using field data gathered by the Climate Adaptation in Wetland Areas - CAWA), midterm survey and end of the project evaluation. Preparation of a new baseline survey is not necessary. The midterm evaluation

will be done after two years of project implementation. The end of the project evaluation will be done at the end of the project implementation. The information generated during the monitoring of the project performance will also be utilized in midterm and end of the term evaluation.

The impacts of the project implementation will entail an improved decision-making at local, decentralized and na-tional level and assessing improved capacity for decision-making at policy, household and farmer levels will be a core concern of project evaluations.

5.1 Reports and reporting

Following the GEF policies and procedures, the AMAT tracking tool was submitted at the time of the CEO endorsement of the project document following the PPG baseline analysis. Given the data and information system related nature of the project, the AMAT was completed during the PPG and a new baseline assessment is not required. An updated report using the AMAT will be submitted at the time of project’s mid-term evaluation; and with the Project’s terminal report. At the mid-term and end, the tracking tools will be completed by the PMU in close consultation with the NPD.

The PMU will collect required information and report on in-kind and cash co-financing as indicated in the project document/CEO Request. This, together with technical project assessment, will constitute the mid-term evaluation report. The PMU will submit the report to the BH in a timely manner at the time of project’s external mid-term eval-uation and with the terminal report.

A draft Final Report will be submitted to BH within two months before the end date of the Execution Agreement, which upon finalization and sharing is expected to guide ministerial or senior government level on the policy deci-sions required for the follow-up of the project, and to provide the donor with information on how the funds were

Page 20: Monitoring and Evaluation PlanVientane, LAO PDR November 2018. Strengthening Agro-climatic Monitoring and Information Systems (SAMIS) to improve adaptationto climate change and food

13

utilized. The same report will also be submitted to the terminal evaluation external expert team. For that purpose, the Terminal Report will be a concise account of the main products, results, conclusions and recommendations of the project, without unnecessary background, narrative or technical details.

Reporting will be done as per the requirements of FAO and GEF. A summary of project monitoring reports, responsi-ble agencies, time frame and deadline for submission is presented in Table 2 below.

Table 2Summary of project monitoring and impact assessment reports, responsible agencies, time frame and deadline for submission (con-sidering activities startup in Nov 2016 as per first expenditure)

M&E Activity Responsible Parties Time frame Deadline for reporting

1 Baseline survey for impact evaluation PMU. October to December 2017

December 2017. One missing data to be provided by the CAWA project

2Adaptation Monitoring and Assessment Tool (AMAT)

Reported by PMU supported by the LTO and cleared and submitted by the GCU to the GEF Secretariat.

AMAT 1 AMAT 2 (formal to mid term review) AMAT 3 AMAT 4 (formal for final review)

June 2018June 2019June 2020June 2021

3 Co-financing report

PMU, with inputs from NPD, and oth-er partners. The project implemen-tation report by PMU supported by the LTO and cleared and submitted by the GCU to the GEF Secretariat.

July 2017-June 2018July 2018-June 2019July 2019-June 2020July 2020-May 2021

July 2018July 2019July 2020July 2021

4 Mid-term review

External Consultant in consultation with the project team and other partners (includes survey of partic-ipating households, travel expenses and report writing)

First two years June 2019

5 Impact studies The long term sustainability of the project assessed through a study End of the third year June-July 2020)

6 Final evaluation

In addition a detailed ex-post analy-sis will be made based on the survey with the government entities for the planning and for the agro-advisory part and with participant house-holds for the agro-meteorology field advisory level

Entire project period September to Decem-ber 2020

7 Terminal Report LTO, TCSR Report Unit Entire project period January to April 2021

8 Independent Terminal evaluation FAO Evaluation Unit Entire project period November to Decem-

ber 2021

Table 2 A final Project review meeting will be organized to discuss the draft Terminal Report before it is finalized by the PMU and approved by the FAO LTO and the GCU. Final sharing workshop will be organized just before termination of the project to share the project results to a wide range of stakeholders. Project achievements will be evaluated after two years of project execution during the midterm review (planned in June 2019), and at the end of the project through an independent final evaluation (to be organized since September 2020 and finalized by end of the project).

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14

5.2 Baseline data and methods

Baseline information for the project was prepared largely during the PPG phase of the project. Information compiled included secondary, qualitative and quantitative data and information provided by the project partners in a number of consulta-tions. Baseline information for Component 1 and 2 included an account of existing information systems, available geospatial data, existing policies, etc. - specifically:

i. Secondary documentation: Documents from government offices like MAF, MONRE, DMH, DALaM outreach/research stations and hydro-meteorological observatories on data and required literature and other official documents relat-ing to project activities. Most of this information was avail-able at the end of the PPG.

ii. Quantitative data: The number of geospatial or agromete-orological computer terminals, information systems, serv-ers and telecommunication systems and experts trained abroad or in other projects. The number of PC stations in has been reassessed by visiting the relevant offices.

Also, number of local level stakeholder has been assessed. In fact, a part of the pro-ject include field activities related to consultation with farmers and local decision makers and with the undertaking of FFS. For these activities, the majority of the data will be available within the CAWA project by the end of the year 2017. In case some of the data is not available, the baseline assessment will triangulate informa-tion gathered during the quantitative and qualitative research, with reflections on how the findings relate to the secondary documentation.

5.3 Impact assessment methods

The impact assessment will be done using difference-in-differences (DID) meth-od. The baseline, mid-term and end-term survey data for the project households and control households will be compared to find out DID estimates for the major quantitative outcomes. The quantitative estimates will be supplemented by partic-ipatory methods allow the farmers groups to identify changes resulting from the adaptation project. It will also help to look distributional effects through who has benefited from the project activities and who has not. This method also helps us to identify the strengths and weaknesses of the projects for future intervention, replication and up-scaling. Impact monitoring indicators will be used for mid-term and end-term evaluations of the project outcomes (Table 3).

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15

Table 3Impact indicators

Project Component Impact indicator Baseline Means of verifications

1. Strengthening agro-climatic monitor-ing, analysis, commu-nication and use of data and information for decision making in agriculture and food security

A fully renewed CAgMD within DMH functioning with clear roles and responsibility

AMAT 2.1.1 Relevant threat informa-tion disseminated to stakeholders on a timely basis

Very old systems and no climate and meteorological services to meet the needs of farmers

0.No dissemination

A fully renewed CAgMD connected with all AWS and databaseand functioning after com-pletion of the project

Reports on systems func-tionality

Improved and new climate and agro-meteorology products available with users

AMAT 2.1.1 Number/type targeted institutions with increased adaptive capacity

No system in place to communicate and receive feedback from users

0

System in place and print-ed Operating Procedures and guidebooks applied (report)

1 Agriculture, 1 Environ-mental, 1 Meteorology and 1 Telecommunication institution trained and their capacity improved

2. Strengthening insti-tutional and technical capacity for moni-toring and analysis of agriculture pro-duction systems and development of Land Resources Information Management Systems (LRIMS) and Agro-Eco-logical Zoning (AEZ)

Number of information systems available

AMAT 2.1.1 Relevant threat informa-tion disseminated to stakeholders on a timely basis (Yes/No)

AMAT 3.2.1 Policy environment and regulatory framework for adap-tation-related technology transfer established or strengthened

MAF/ DALaM staff trained to main-tain and provide or apply LRIMS/ NAEZ information (gender disaggre-gated)

AMAT 2.2.1 Number/type targeted institutions with increased adaptive capacity

Several scattered information system based on partners activities, no ded-icated information systems for the comprehensive structure of the MAF and for agricultureMAF ICT Strategy in place

No

No

0 female/maleSome DALaM senior staff knows the AEZ theoretical concepts

0

Infrastructure and infor-mation systems in place in place

Infrastructure and infor-mation systems functioning and timely appropriate (functionality report)

4 policies, plans or by-laws proposed to competent authority

Training reports for 100 staff (30 female; 70 male)

2 Agriculture, 1 Environ-mental and 1 Planning institutions trained and their capacity improved

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16

Table 3Impact indicators

Project Component Impact indicator Baseline Means of verifications

3. Knowledge man-agement and dissemi-nation of information and lessons learned for local application, planning, monitoring and evaluation

AMAT 3.2.2 Strengthened capacity to transfer appropriate adaptation technologies, disaggregated by gender (Score)

AMAT 2.2.1 No. and type of targeted institutions with increased adap-tive capacity to reduce risks of and response to climate variability [to be summed up with outcomes 1.2 and 2.2]

Framework for knowledge-sharing and packaging of lessons learned and experiences developed/ improved

AMAT 2.1.1 Relevant threat informa-tiondisseminated to stakeholders on a timely basis (Yes/No)

No capacity

0

Obsolete or no sharing and dissemi-nation of knowledge and information platform available

No

Local level interviews/FFS reports demonstrates a 50/75% improvement of capacity

1 Planning and 1 Research institutions trained and their capacity improved

Knowledge exchange portal that supports information exchange at both local and national levels operational

Climate advisories dissemi-nated to relevant stakehold-ers on a timely basis

Table 3 At this stage it is not considered practical to specify TORs for the mid-term and end-term evaluation staff. These TORs will be developed in the due course of project implementation. In addition, and in order to facilitate the terminal evaluation activities, project impact will be analysed, in term of sustainability, financial risk and governance risks though studies that will involve the main project stakeholders at national and decentralized level. The TORs for such studies will also be developed in the due course of project implementation.

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17

6CONCLUSIONS»

The project monitoring and evaluation is based on the project document and indicators in the results frame-work as well as the AMAT tracking tool. Project performance evaluation requires the monitoring of activities and outputs which is closely related with project execution and planned activities versus achievement. Project

impact is assessed through the estimation of outcome targets and through specific and timely assessments, including baseline studies, midterm evaluation and final evaluation. The project baseline information will serve as a basis for monitoring and eventually for impact assessment at project midterm and endterm. The project monitoring and eval-uation approach will also facilitate learning and mainstreaming of project outcomes and lessons learned into good practices as well as national and local policies, plans and improved decision making.

Page 25: Monitoring and Evaluation PlanVientane, LAO PDR November 2018. Strengthening Agro-climatic Monitoring and Information Systems (SAMIS) to improve adaptationto climate change and food

18TA

RGET

INDI

CATO

RS B

Y PR

OJEC

T COM

PONE

NTS

Com

pone

nt 1

: Str

engt

heni

ng ag

ro-c

limat

ic m

onito

ring,

anal

ysis,

com

mun

icatio

n an

d us

e of d

ata a

nd in

form

atio

n fo

r dec

ision

mak

ing i

n Ag

ricul

ture

and

food

secu

rity

APPE

NDI

X 1

» Expe

cted

Out

puts

Indi

cato

rsBa

selin

eAn

nual

mile

ston

esEn

d pr

ojec

t tar

get

Mea

ns o

f ve

rifica

tion

Assu

mpt

ions

Year

1Ye

ar 2

Year

3Ye

ar 4

Out

com

e 1.

1: Im

prov

ed

agro

-met

eoro

logi

cal

mon

itorin

g, co

mm

unica

-tio

n an

d an

alys

is fa

ciliti

es

esta

blish

ed at

nat

iona

l and

pr

ovin

cial l

evel

A fu

lly re

new

ed

CAgM

D w

ithin

DM

H fu

nctio

ning

w

ith cl

ear r

oles

and

resp

onsib

ility

AMAT

Indi

cato

r 2.1

.1

Rele

vant

thre

at in

for-

mat

ion

diss

emin

ated

to

stak

ehol

ders

on

a tim

ely

basi

s (Ye

s/N

o)

Very

old

syst

ems

and

no cl

imat

e and

ag

rom

et se

rvice

s to

mee

t the

nee

ds o

f fa

rmer

s

0.N

o

Prep

a-ra

-tion

and

plan

ning

fo

r est

ab-

lish-

men

t of

syst

ems

Deliv

ery o

f fa

ciliti

es

and

in-

stru

-men

ts

Capa

city

deve

l-op

-men

t an

d te

stin

g

Fully

fu

nctio

nal

unit

2.Ye

s

A fu

lly re

new

ed C

AgM

D co

nnec

ted

with

all A

WS

and

data

base

2.Ye

s

Cont

inuo

us

func

tioni

ng af

ter

com

plet

ion

of th

e pr

ojec

t

Repo

rts o

n sy

stem

s fu

nctio

nalit

y

MON

RE an

d DM

H is

will

ing a

nd ca

pabl

e of

abso

rbin

g the

new

te

chno

logy

Out

put 1

.1.1

: Agr

o-m

ete-

orol

ogica

l sta

tion

netw

orks

im

prov

ed/ r

e-ha

bilit

ated

w

ith b

oth

conv

entio

nal a

nd

auto

mat

ic w

eath

er st

atio

ns

to in

crea

se co

vera

ge in

the

maj

or ag

ricul

tura

l pro

duc-

tion

area

s

Num

ber o

f new

auto

-m

ated

agro

-met

eora-

olog

ical s

tatio

ns an

d re

habi

litat

ed m

anua

l st

atio

ns

Indi

cato

r 2.1

.2.1

Typ

e an

d no

. of m

onito

r-in

g sy

stem

s in

plac

e (T

ype

and

No.

)

0 -

15 n

ew15

reha

b

15 n

ew15

reha

b

--

30 sy

stem

s(a

tota

l of 5

1 st

atio

ns

over

all i

n co

mbi

natio

n w

ith o

ther

bas

elin

e pr

ojec

ts)

30 lo

cal s

yste

ms

Stat

ions

func

tion-

al, w

ith d

ata e

ffec-

tivel

y tra

nsm

itted

Stat

ions

func

tiona

l, w

ith d

ata

effe

ctiv

e-ly

tran

smitt

ed

Suffi

cient

and

upda

t-ed

staf

f cap

aciti

es

Out

put 1

.1.2

: Im

prov

ed

data

codi

ng an

d co

mm

uni-

catio

n fa

ciliti

es u

pgra

ded

to en

hanc

e con

nect

ivity

of

Depa

rtm

ent o

f Met

eoro

lo-

gy an

d Hy

drol

ogy (

DMH)

w

ith p

rovi

ncia

l lev

el su

b-un

its an

d us

ers a

t all

leve

ls

Num

ber o

f AW

S st

atio

ns co

nnec

ted

with

Ear

ly W

arni

ng

Syst

em U

nit

Form

al co

llabo

ratio

n w

ith M

inist

ry o

f Pos

t an

d Te

le-c

omm

unie-

catio

ns

All m

anua

l sta

tions

an

d no

real

-tim

e da

ta tr

ansfe

r and

use

fo

r wea

ther

fore

cast

s

No fo

rmal

colla

b-or

atio

n w

ith th

e M

inist

ry o

f tel

ecom

an

d pr

ivat

e com

-m

unica

tion

serv

ice

prov

ider

s

- -

15 2

- -

- -

All 1

5 (to

tal 5

1)

stat

ions

conn

ecte

d to

EW

S cen

tre a

nd re

ceiv

e re

al-ti

me d

ata

At le

ast 2

MOU

s sig

ned

by D

MH

to fa

cilita

te

com

mun

icatio

ns

Use o

f dat

a fro

m

AWS f

or w

eath

er

fore

cast

s

Prin

ted

and

signe

d co

pies

of t

he M

OU

DMH

ente

r int

o M

OU w

ith te

leph

one

serv

ices t

o en

hanc

e co

nnec

tivity

and

all

sens

ors a

re w

orki

ng

prop

erly

Page 26: Monitoring and Evaluation PlanVientane, LAO PDR November 2018. Strengthening Agro-climatic Monitoring and Information Systems (SAMIS) to improve adaptationto climate change and food

19

Expe

cted

Out

puts

Indi

cato

rsBa

selin

eAn

nual

mile

ston

esEn

d pr

ojec

t tar

get

Mea

ns o

f ve

rifica

tion

Assu

mpt

ions

Year

1Ye

ar 2

Year

3Ye

ar 4

Out

put 1

.1.3

: Lab

orat

ory

for a

gro-

met

eoro

logi

-ca

l ana

lysis

, inst

rum

ent

calib

ratio

n an

d ge

ospa

tial

clim

ate d

ata a

cces

s, m

oni-

torin

g, pr

oces

sing f

acili

ties

esta

blish

ed an

d fu

nctio

ned

at D

MH,

Vie

ntia

ne.

Reha

bilit

ated

facil

ity

(bui

ldin

g) fo

r CAg

n-M

D w

ith la

bora

tory

fo

r cal

ibra

tion

tool

s in

wor

king

cond

i-tio

n, sp

are p

arts

for

sens

or m

aint

enan

ce

A cli

mat

e dat

a an

alys

is ac

cess

and

anal

ysis

facil

ity w

ith

nece

ssar

y har

dwar

e an

d so

ftwar

e

Num

ber o

f nea

r-re

al

time N

WP

prod

ucts

ac

cess

ible

AMAT

Indi

cato

r 2.1

.2.1

Type

and

N

o. of

mon

itori

ng

syst

ems i

n pl

ace

Com

preh

ensiv

e cli-

mat

e-at

las p

repa

red

usin

g ava

ilabl

e dat

a

Very

old

bui

ldin

g an

d no

inst

rum

en-

tatio

n or

calib

ratio

n la

bora

tory

in D

MH

0 (onl

y 1 p

c av

aila

ble

with

the c

limat

e and

ag

ro-m

eteo

rolo

gica

l di

visio

n fo

r sto

ring

all d

ata,

6 de

skto

ps

for d

ata e

ntry

)

4 w

eath

er fo

reca

st

syst

em, n

o ag

ro-m

es-te

o fo

reca

st

4 No cl

imat

e atla

s av

aila

ble

1 - - - -

- 15 lo

cal

agro

met

st

atio

ns

and

10

CAgM

D w

ork

loca

tion

in

use

3 ne

w

prod

ucts

3 -

- 5 no

des f

or

the d

ata

entr

y per

-so

nnel

and

conn

ectio

n to

EW

S

- - 1

- - - - -

New

offi

ce fa

cility

ru

nnin

g with

in D

MH

(Clim

ate a

nd A

gro-

mel-

teor

olog

ical D

ivisi

on)

and

avai

labi

lity o

f ca

libra

tion

tool

s and

pr

oced

ures

for a

ll es

sent

ial s

enso

rsHi

gh p

erfo

rman

ce co

m-

putin

g sys

tem

s for

dat

a ar

chiv

al an

d an

alys

is es

tabl

ished

with

at

leas

t 5 n

odes

for t

he

data

entr

y per

sonn

el

and

conn

ecte

d to

EW

S an

d al

so eq

uipp

ed to

re

ceiv

e dat

a fro

m A

WS

3 ne

w (7

tota

l)1

seas

onal

, 1 m

onth

(in

cludi

ng fr

ost),

and

1 de

cada

l for

ecas

t3

new

(7 to

tal)

1 se

ason

al, 1

mon

th

(inclu

ding

fros

t), an

d 1

deca

dal f

orec

ast

A cli

mat

e atla

s ava

il-ab

le

Esta

blish

ed la

b-or

ator

y and

new

in

stru

men

tatio

n fa

cility

New

com

pute

r sy

stem

s and

da

taba

se av

aila

ble

and

info

rmat

ion

com

mun

icate

d to

us

ers

New

pro

duct

s w

ith im

prov

ed

agro

clim

atic

and

agro

met

info

rma-

tion

New

pro

duct

s with

im

prov

ed a

groc

li-m

atic

and

agr

omet

in

form

atio

nA

prin

ted

clim

ate

atla

s

DMH

prov

ides

addi

-tio

nal s

taff

supp

ort

(in-c

harg

e of t

he la

b -or

ator

y and

agre

ed

TOR

to m

aint

ain

all

AWS)

DMH

activ

ely c

olla

b-or

ates

with

regi

onal

an

d in

tern

atio

nal

cent

res a

nd re

gion

al

and

glob

al ce

ntre

s ar

e will

ing t

o sh

are

thei

r pro

duct

s

Out

com

e 1.

2: In

stitu

tion-

al an

d te

chni

cal c

apac

ity

stre

ngth

ened

to fa

cilita

te

data

shar

ing,

arch

ivin

g, an

alys

is an

d in

terp

reta

tion

of a

gro-

met

eoro

logi

cal

info

rmat

ion

prod

ucts

to

user

s at a

ll le

vels

Impr

oved

and

new

cli

mat

e and

agro

met

pr

oduc

ts av

aila

ble

with

use

rs

AMAT

Indi

cato

r 2.

2.1.

No.

of t

arge

ted

inst

itutio

ns w

ith

incr

ease

d ad

aptiv

e ca

paci

ty to

redu

ce

risk

s of a

nd re

spon

se

to cl

imat

e va

riab

il-ity

(Num

ber)

[to

be

sum

med

up

with

ou

tcom

es 2

.2 an

d 3.1

]

No sy

stem

in p

lace

to

com

mun

icate

and

rece

ive f

eedb

ack

from

use

rs

0

Role

s and

re

spon

-sib

ilitie

s de

fined

&

staf

f tr

aini

ng

(Pha

se 1

)

-

Staf

f tra

in-

ing

(Pha

se 2

)

-

Staf

f tra

in-

ing

(Pha

se 2

)

4

Staf

f tra

in-

ing

(Pha

se 2

)

-

Endo

rsed

SOPs

, gui

de-

book

s (at

leas

t 7)

1 Ag

ricu

lture

1 En

viro

nmen

t1

Met

eoro

logy

1 Te

leco

mm

unic

atio

n (S

taff

trai

ned

and

capa

city

impr

oved

)

Syst

em in

pla

ce

and

prin

ted

Oper

-at

ing P

roce

dure

s an

d gu

ideb

ooks

ap

plie

d

Staf

f are

capa

ble

to fo

llow

Sta

ndar

d Op

erat

ing

Proc

e-du

res a

nd p

rodu

ce

and

diffu

se a

gro-

met

eo se

rvic

es

The D

MH

is ad

optin

g th

e SOP

s and

guid

e-bo

oks a

nd n

omin

ates

re

leva

nt st

aff f

or th

e tr

aini

ng

Page 27: Monitoring and Evaluation PlanVientane, LAO PDR November 2018. Strengthening Agro-climatic Monitoring and Information Systems (SAMIS) to improve adaptationto climate change and food

20

Expe

cted

Out

puts

Indi

cato

rsBa

selin

eAn

nual

mile

ston

esEn

d pr

ojec

t tar

get

Mea

ns o

f ve

rifica

tion

Assu

mpt

ions

Year

1Ye

ar 2

Year

3Ye

ar 4

Out

put 1

.2.1

: Sta

ndar

d Op

erat

ing P

roce

dure

s (S

OPs)

for c

limat

olog

y and

ag

ro-m

eteo

rolo

gy d

ivisi

on

of D

MH

and

guid

elin

es fo

r in

stal

latio

n of

inst

rum

ents

an

d ob

serv

atio

n, d

ata

codi

ng an

d m

aint

enan

ce

deve

lope

d an

d st

aff t

rain

ed

(at l

east

65

tech

nica

l sta

ff tr

aine

d)

Stan

dard

Ope

rat-

ing P

roce

dure

for

CAgM

D

Num

ber o

f gui

de-

lines

Num

ber o

f sta

ff tr

aine

d

AMAT

Indi

cato

r 2.

2.1.

1 N

o. o

f sta

ff tr

aine

d on

tech

nica

l ad

apta

tion

them

es

(dis

aggr

egat

ed

by g

ende

r) [t

o be

su

mm

ed u

p w

ith

outc

omes

2.2

and

3.1]

No SO

P fo

r CAg

MD

4 ex

istin

g gui

delin

es

(agr

onom

ic da

ta

colle

ctio

n, sy

nopt

ic ob

serv

atio

n m

anua

l, w

eath

er o

bser

va-

tion

data

inpu

t, an

d w

eath

er o

bser

vatio

n da

ta h

andb

ook)

No re

gula

r tra

inin

gs

with

in D

MH,

som

e pr

ojec

t tra

inin

g on

hydr

omet

eoro

logy

or

met

eoro

logy

but

not

in

agro

-met

eoro

logy

- - - -

1 1 ne

w 1

up

date

d

20 20

- 1 ne

w 2

up

date

d

45 45

- 1 ne

w 1

up

date

d

- -

A SO

P fo

r Clim

atol

ogy

and

Agro

-met

eoro

logy

Di

visio

n en

dors

ed an

d ap

prov

ed b

y DM

H

At le

ast 4

guid

elin

es

upda

ted

and

3 ne

w

guid

elin

es (s

easo

nal

fore

cast

, mon

thly

fore

-ca

st, a

nd cr

op se

ason

de

cada

l agr

o-m

eteo

r-ol

ogy b

ulle

tins)

dev

el -

oped

and

prin

ted

At le

ast 6

5 te

chni

cal

staf

f tra

ined

(at

leas

t 25

wom

en)

65

Prin

ted

SOPs

avai

l-ab

le an

d im

ple-

men

ted

by D

MH

Prin

ted

guid

elin

es

avai

labl

e and

dis-

trib

uted

to al

l sta

ff at

diff

eren

t lev

els

Trai

ned

staf

f ca

pabl

e of u

sing

and

appl

ying

the

guid

elin

es

Trai

ned

staf

f ca

pabl

e of

usi

ng

and

appl

ying

the

guid

elin

es

DMH

is ex

pect

ed to

en

dors

e the

SOPs

and

guid

elin

es d

urin

g the

pr

ojec

t per

iod

and

allo

ws t

he st

aff t

o be

tr

aine

d

Page 28: Monitoring and Evaluation PlanVientane, LAO PDR November 2018. Strengthening Agro-climatic Monitoring and Information Systems (SAMIS) to improve adaptationto climate change and food

21

Expe

cted

Out

puts

Indi

cato

rsBa

selin

eAn

nual

mile

ston

esEn

d pr

ojec

t tar

get

Mea

ns o

f ve

rifica

tion

Assu

mpt

ions

Year

1Ye

ar 2

Year

3Ye

ar 4

Out

put 1

.2.2

: Dev

elop

-m

ent a

nd d

eliv

ery o

f tra

in-

ing p

acka

ges r

elev

ant t

o cli

mat

olog

y and

agro

-me-

teor

olog

y, co

mm

unica

tion

and

appl

icatio

n of

clim

ate

and

agro

met

eoro

logi

cal

info

rmat

ion

by u

sers

Trai

ning

nee

d as

-se

ssm

ent

Num

ber o

f tra

inin

gs

orga

nize

d an

d in

te-

grat

ed in

to D

MH’

s re

gula

r act

iviti

es

Num

ber o

f sta

ff tr

aine

d in

each

of t

he

trai

ning

pro

gram

mes

Num

ber o

f tra

inin

g m

anua

ls pr

epar

ed

and

prin

ted

Num

ber o

f prin

t and

m

edia

staf

f tra

ined

Num

ber o

f sta

ff at

in

ter-

min

ister

ial

leve

l tra

ined

Num

ber o

f MAF

staf

f tr

aine

d on

fore

cast

ap

plica

tion

For t

he e

ntir

e ou

tput

1.1

.2. :

AM

AT

Indi

cato

r 2.2

.1.1

No.

of

staf

f tra

ined

on

tech

nica

l ada

ptat

ion

them

es (d

isag

gred-

gate

d by

gen

der)

[to

be su

mm

ed u

p w

ith

outc

omes

2.2

and

3.1]

No fo

rmal

trai

ning

pr

ogra

mm

es, 1

un

iver

sity M

sc in

ag

ro-m

eteo

ong

o -in

g, bu

t no

DMH

staf

f par

ticip

atin

g

Abou

t 50

staf

f tr

aine

d th

roug

h na

tiona

l and

inte

r-na

tiona

l spo

nsor

ed

even

tsev

ery y

ear

No L

ao sp

ecifi

c tr

aini

ng m

anua

ls av

aila

ble

No tr

aini

ng to

prin

t an

d m

edia

staf

f

No tr

aini

ng o

n us

e of

clim

ate i

nfor

-m

atio

n fo

r pol

icy

inte

grat

ion

No o

f sta

ff tr

aine

d

No ap

plica

tion

trai

ning

s

1 1 20 0 - - - -

- 3 40 3 25 25 3 80

- 2 20 1 25 25 3 80

- 2 20 0 - - 2 40

1 ne

eds a

sses

smen

t un

dert

aken

At le

ast 4

form

al

trai

ning

pro

gram

mes

or

gani

zed

At le

ast 1

00 te

chni

cal

staf

f out

of 2

05 tr

aine

d (a

t lea

st 3

0/40

%

wom

en)

At le

ast 4

Lao

spec

ific

trai

ning

man

uals

At le

ast 5

0 pr

int a

nd

med

ia re

port

ers

trai

ned

At le

ast 5

0 na

tiona

l pe

rson

nel t

rain

ed

8 st

aff t

rain

ed

In to

tal,

at le

ast 2

00

MAF

staf

f tra

ined

on

fore

cast

app

licat

ion

(5

0 To

T at

nat

iona

l, 15

0 pr

ovin

cial

, and

dis

tric

t; at

leas

t 80

wom

en)

Trai

ning

nee

ds

asse

ssm

ent a

nd

trai

ning

repo

rts

avai

labl

ePr

inte

d tr

aini

ng

man

uals

Trai

ning

repo

rts

& tr

aine

d st

aff

appl

ying

new

kn

owle

dge

Man

uals

prin

ted

Trai

ning

logs

, pr

esen

tatio

ns

avai

labl

e

Trai

ning

logs

, pr

esen

tatio

ns

avai

labl

e

Trai

ning

logs

, pr

esen

tatio

ns

avai

labl

e

Trai

ning

logs

, pr

esen

tatio

ns

avai

labl

e

DMH

take

s ow

ner-

ship

of a

ll tr

aini

ng

activ

ities

and

allo

ws

the s

taff

to at

tend

the

trai

ning

s

DMH

nom

inat

es

staf

f, ide

ntifi

es

rele

vant

expe

rts f

rom

ot

her m

inist

ries,

and

form

ally

requ

ests

th

at M

AF n

omin

ate

staf

f for

trai

ning

s at

natio

nal, p

rovi

ncia

l, an

d di

stric

t lev

els

Page 29: Monitoring and Evaluation PlanVientane, LAO PDR November 2018. Strengthening Agro-climatic Monitoring and Information Systems (SAMIS) to improve adaptationto climate change and food

22

Expe

cted

Out

puts

Indi

cato

rsBa

selin

eAn

nual

mile

ston

esEn

d pr

ojec

t tar

get

Mea

ns o

f ver

ifi-

catio

nAs

sum

ptio

nsYe

ar 1

Year

2Ye

ar 3

Year

4

Out

com

e 2.

1: In

tegr

ated

La

nd R

esou

rces

Info

rma-

tion

Man

agem

ent S

yste

m

(LRI

MS)

and

High

reso

lutio

n Ag

ro-E

colo

gica

l Zon

es (A

EZ)

and

agric

ultu

re p

rodu

ctio

n Sy

stem

s At R

isk (S

AR) d

evel

-op

ed b

ased

on

agric

ultu

ral

reso

urce

s (cli

mat

e, la

nd, s

oil,

wat

er an

d cr

ops)

Num

ber o

f inf

orm

atio

n sy

stem

s ava

ilabl

e

Indi

cato

r 2.1

.1 R

elev

ant

thre

at in

form

atio

n di

ssem

inat

ed to

stak

e-ho

lder

s on

a tim

ely

basi

s (Y

es/N

o)

Indi

cato

r 3.2

.1 P

olit-

cy e

nvir

onm

ent a

nd

regu

lato

ry fr

amew

ork

for a

dapt

atio

n-re

late

d te

chno

logy

tran

sfer

es

tabl

ishe

d or

stre

ngth

-en

ed (

Scor

e)

Seve

ral s

catte

red

info

rmat

ion

syst

em

base

d on

par

tner

s ac

tiviti

es, n

o de

di-

cate

d in

form

atio

n sy

stem

s for

the c

om-

preh

ensiv

e str

uctu

re

of th

e MAF

and

for

agric

ultu

reM

AF IC

T St

rate

gy in

pl

ace

0 =

No

1 =

No p

olicy

Asse

ss-

men

t and

sc

opin

g

Desig

n an

d de

vel-

opm

ent

phas

e

Impl

e-m

enta

tion

phas

e

Eval

uatio

n ph

ase

1 =

Yes

2= D

iscus

sed

and

form

al-

ly pr

opos

ed

At le

ast 2

new

syst

ems

deve

lope

d an

d de

liv-

ered

1 =

Yes

2= D

iscus

sed

and

for-

mal

ly pr

opos

ed

Infra

stru

ctur

e an

d in

form

atio

n sy

stem

s

Infra

stru

ctur

e and

in

form

atio

n sy

s-te

ms f

unct

ioni

ng

Polic

y/Pl

an/B

y la

w d

iscu

ssed

and

fo

rmal

ly p

ropo

sed

to co

mpe

tent

au

thor

ity

Lao

PDR

is ca

pa-

ble o

f abs

orbi

ng

the n

ew te

chno

l-og

y and

capa

ble

of ru

nnin

g on

a su

stai

nabl

e bas

is

Out

put 2

.1.1

: Lan

d Re

sour

c-es

Info

rmat

ion

Man

age-

men

t Sys

tem

(LRI

MS)

and

cust

omize

d ap

plica

tions

de

signe

d, d

evel

oped

, tes

ted

and

deliv

ered

with

com

put-

ing f

acili

ties f

or m

onito

ring

and

asse

ssm

ent o

f lan

d su

itabi

lity

Num

ber o

f ded

icate

d sy

stem

s ava

ilabl

e for

LR

IMS

Num

ber o

f cus

tom

ized

appl

icatio

n so

ftwar

e de

liver

ed

No d

edica

ted

syst

em

avai

labl

e with

DA

LAM

No cu

stom

ized

appl

icatio

n so

ftwar

e av

aila

ble

Feas

ibili

ty

-

Data

col-

lecti

on a

nd

synt

hesis

-

Anal

ysis

and

deve

l-op

-men

t

At le

ast 2

cu

s-to

m-iz

ed

softw

are

Eval

uatio

n of

LRI

MS

syst

em

Test

ing

of th

e so

ftwar

e pa

ckag

es

LRIM

S for

Lao

PDR

av

aila

ble

At le

ast 2

cust

omize

d ap

plica

tions

/ so

ftwar

e de

liver

ed

New

syst

ems i

n op

erat

ion

LRIM

S ins

talle

d an

d w

orki

ng

DALA

M h

as th

e m

anda

te an

d su

fficie

nt st

aff

to co

nsta

ntly

up

date

and

mai

ntai

n th

e sy

stem

Com

pone

nt 2

: Str

engt

heni

ng in

stitu

tiona

l and

tech

nica

l cap

acity

for m

onito

ring a

nd an

alys

is of

Agr

icultu

re p

rodu

ctio

n sy

stem

s and

dev

elop

men

t of L

and

Reso

urce

s In

form

atio

n M

anag

emen

t Sys

tem

s (LR

IMS)

and

Agro

-Eco

logi

cal Z

onin

g (AE

Z)

Page 30: Monitoring and Evaluation PlanVientane, LAO PDR November 2018. Strengthening Agro-climatic Monitoring and Information Systems (SAMIS) to improve adaptationto climate change and food

23

Expe

cted

Out

puts

Indi

cato

rsBa

selin

eAn

nual

mile

ston

esEn

d pr

ojec

t tar

get

Mea

ns o

f ver

ifi-

catio

nAs

sum

ptio

nsYe

ar 1

Year

2Ye

ar 3

Year

4

Out

put 2

.1.2

: Ava

ilabl

e da

ta an

d in

form

atio

n on

la

nd, s

oil, w

ater

, cro

ps an

d so

cio-e

cono

mics

synt

hesiz

ed

and

Natio

nal-A

gro-

Ecol

og-

ical Z

onin

g (NA

EZ) a

nd In

-fo

rmat

ion

Port

al d

evel

oped

, te

sted

and

deliv

ered

Num

ber o

f cat

egor

ies

of d

ata a

vaila

ble i

n th

e da

taba

se

Natio

nal A

EZ d

evel

oped

an

d av

aila

ble f

or u

se

Data

and

info

rmat

ion

port

al h

oste

d by

rele

-va

nt in

stitu

tion

Data

avai

labl

e in

pape

r for

m an

d fra

g-m

ente

d w

ithin

MAF

No A

EZ m

etho

d-ol

ogy a

dopt

ed at

na

tiona

l lev

el fo

r m

ultip

le cr

oppi

ng

syst

ems,

only

smal

l ar

ea ar

e cov

ered

, or

mai

n cr

ops o

nly a

re

cove

red

(mul

tiple

ric

e sys

tem

s, m

aize

, ru

bber

, cas

sava

, su

garc

ane)

, or l

ow

reso

lutio

n is

used

.

GIS u

nit e

xist

s bu

t onl

ine s

patia

l in

form

atio

n sy

stem

is

not a

vaila

ble w

ith

DALa

M

Digi

-tiz

a-tio

n of

dat

a se

ts (i

f re

quir

ed)

0 (mod

el-

para

me

teriz

atio

n th

roug

h lo

cal a

nd

natio

nal

leve

l ac

tiviti

es)

-

Inte

-gr

a-tio

n of

da

ta in

to

the i

nfor

-m

a-tio

n sy

stem

s

0 (ana

lysis

)

1 ex

ists

and

is on

line

Test

ing

and

eval

u-at

ive

1 (mod

el

synt

hesis

&

inte

gra-

tion)

-

Refin

ing

0 (ev-

alua

tion)

1 is

host

ed

by re

leva

nt

inst

itutio

n

At le

ast 5

maj

or ca

te-

gorie

s of d

ata i

nteg

rat-

ed in

to th

e dat

abas

e

Natio

nal A

EZ m

eth-

odol

ogy a

dopt

ed an

d us

ed

1 sp

atia

l inf

orm

atio

n sy

stem

func

tioni

ng

and

acce

ssib

le

Data

base

with

re

trie

val f

acili

ty

Func

tiona

l NAE

Z us

ed as

a de

cisio

n su

ppor

t sys

tem

Func

tiona

l spa

tial

info

rmat

ion

syst

em an

d re

le-

vant

kno

wle

dge

prod

ucts

DALA

M o

r re

leva

nt ag

ency

w

ithin

MAF

has

th

e ins

titut

iona

l an

d te

chni

cal

capa

city t

o su

stai

n th

e inf

or-

mat

ion

syst

ems

with

nec

essa

ry

budg

et re

sour

ces

afte

r com

plet

ion

of th

e pro

ject

Page 31: Monitoring and Evaluation PlanVientane, LAO PDR November 2018. Strengthening Agro-climatic Monitoring and Information Systems (SAMIS) to improve adaptationto climate change and food

24

Expe

cted

Out

puts

Indi

cato

rsBa

selin

eAn

nual

mile

ston

esEn

d pr

ojec

t tar

get

Mea

ns o

f ver

ifi-

catio

nAs

sum

ptio

nsYe

ar 1

Year

2Ye

ar 3

Year

4

Out

put 2

.1.3

: Im

pact

sc

enar

ios o

f wat

er av

ail-

abili

ty, c

rop

yiel

d an

d so

cio-e

cono

mics

for a

ll m

ajor

agro

-eco

logi

cal z

ones

as

sess

ed an

d ad

apta

tion

stra

tegi

es d

evel

oped

Num

ber o

f agr

o-ec

ob-lo

gica

l zon

es h

avin

g sc

enar

ios o

f phy

sical

, bi

ophy

sical

and

socio

ec-

onom

ics

Num

ber o

f pol

icy/p

lane-

ning

pro

cess

es u

sed

the

clim

ate c

hang

e im

pact

sc

enar

ios

AMAT

Indi

cato

r 3.2

.2.1

N

o. o

f pol

icie

s dev

elop

ed

or st

reng

then

ed

Num

ber o

f vul

nera

bilit

y an

d ris

k an

alys

is an

d re

port

s tha

t use

LRI

MS

and

NAEZ

info

rmat

ion

AMAT

Indi

cato

r 2.1

.1.1

Up

date

d ri

sk a

nd v

ulne

r-ab

ility

ass

essm

ent

AMAT

Indi

cato

r 2.1

.1.2

Ri

sk a

nd v

ulne

rabi

lity

asse

ssm

ent c

ondu

cted

Agro

-eco

logi

cal z

onl-

ing d

id n

ot co

nsid

er

a com

preh

ensiv

e na

tiona

l ass

essm

ent

usin

g nat

iona

l dat

a

Low

reso

lutio

n sc

enar

ios a

re b

eing

us

ed fo

r NAP

A,

Natio

nal C

omm

uni-

catio

n an

d re

leva

nt

land

suita

bilit

y cla

ssifi

catio

ns

Som

e pro

ject

is

prod

ucin

g hig

h re

so-

lutio

n da

tase

ts

Curr

ently

avai

labl

e ris

k an

d vu

lner

a-bi

lity p

rodu

cts a

re

with

low

reso

lutio

n,

not u

pdat

ed, t

oo

gene

raliz

ed o

r not

ha

rmon

ized

with

the

full

set o

f agr

icultu

r-al

dat

a ava

ilabl

e. On

e na

tiona

l vul

nera

-bi

lity a

sses

smen

t pr

oduc

ed b

y int

erna

-tio

nal p

artn

ers m

ight

se

rve a

s inp

ut

Anal

ysis

for d

evel

-op

-men

t of

agro

-eco

o-lo

gica

l zo

nes

- - Info

r-m

atio

n co

llect

ed

Deve

l-op

-men

t of

impa

ct

scen

ario

s

2 2 Mod

els a

nd

scen

ario

s de

velo

ped

Vali-

da-ti

on o

f ag

ro-e

coo-

logi

cal

zone

s dat

a an

d in

for-

ma-

tion

1 1 Vuln

er-

abili

ty

and

risk

anal

ysis

Deliv

ery o

f in

form

atio

n pr

oduc

ts

1 1 Map

s, da

taba

ses,

repo

rts

prod

uced

1 1

Impa

ct sc

enar

ios

avai

labl

e for

at le

ast

7 m

ajor

pro

duct

ion

zone

s prio

ritize

d by

M

AF

4 ne

w sc

enar

ios u

sed

for 3

rd n

atio

nal c

om-

mun

icatio

n or

oth

er

rele

vant

nat

iona

l and

lo

cal d

ocum

ents

Scen

ario

s inc

lude

d in

Po

licie

s/Pl

ans/

By la

ws

and

prop

osed

to co

m-

pete

nt a

utho

rity

New

vuln

erab

ility

and

risk

prof

iles a

vaila

ble

with

hig

h re

solu

tion

1 Vu

lner

abili

ty a

sses

s-m

ent

1 Ri

sk a

nd v

ulne

rabi

lity

asse

ssm

ent

Data

base

on

im-

pact

scen

ario

s

Docu

men

ts re

fer-

ring t

o th

e sce

nar-

ios p

rodu

ced

from

th

e pro

ject

New

vuln

erab

ility

an

d ris

k pr

ofile

s sh

owin

g sce

nario

da

ta p

rodu

ced

by

the p

roje

ct

SAVA

repo

rt a

nd

map

s

Syst

ems a

t Ris

k (S

aR) r

epor

t and

m

aps

Rele

vant

agen

cy

with

in M

AF

is ca

pabl

e of

mai

ntai

ning

th

e sce

nario

s an

d re

leva

nt

data

base

Polic

y and

pla

n-ni

ng p

roce

sses

ac

tivel

y see

k to

ha

ve n

ew sc

enar

-io

s

Page 32: Monitoring and Evaluation PlanVientane, LAO PDR November 2018. Strengthening Agro-climatic Monitoring and Information Systems (SAMIS) to improve adaptationto climate change and food

25

Expe

cted

Out

puts

Indi

cato

rsBa

selin

eAn

nual

mile

ston

esEn

d pr

ojec

t tar

get

Mea

ns o

f ver

ifi-

catio

nAs

sum

ptio

nsYe

ar 1

Year

2Ye

ar 3

Year

4

Out

com

e 2.

2: Te

chni

cal

capa

city d

evel

oped

for

sust

aine

d op

erat

ion

and

use o

f LRI

MS,

SAVA

, AEZ

an

d ag

ricul

ture

pro

duct

ion

Syst

ems a

t Risk

for p

olicy

fo

rmul

atio

n an

d ad

apta

tion

plan

ning

in ag

ricul

ture

se

ctor

MAF

/ DAL

aM st

aff

trai

ned

to m

aint

ain

and

prov

ide o

r app

ly

LRIM

S/ N

AEZ

info

rmai-

tion

(gen

der d

isagg

res-

gate

d)

AMAT

Indi

cato

r 2.2

.1 N

o.

and

type

of t

arge

ted

in-

stitu

tions

with

incr

ease

d ad

aptiv

e ca

paci

ty to

re

duce

risk

s of a

nd

resp

onse

to cl

imat

e va

r-ia

bilit

y [to

be s

umm

ed

up w

ith o

utco

mes

1.2

and

3.1]

0 fe

mal

e0

mal

eSo

me D

ALaM

seni

or

staf

f kno

w th

e AEZ

th

eore

tical

conc

epts

0

-15

fem

ale

35 m

ale

4

15 fe

mal

e35

mal

e-

100

staf

f (30

fem

ale;

70

mal

e) tr

aine

d

2 Ag

ricu

lture

1 En

viro

nmen

t1

Plan

ning

(sta

ff tr

aine

d an

d ca

paci

ty im

prov

ed)

Trai

ning

man

uals

and

repo

rts

MAF

, res

earc

h an

d te

leco

mm

unic

atio

n tr

aine

d (1

0 in

stitu

-tio

ns to

tal)

MAF

and

DA-

LaM

nom

inat

e re

leva

nt st

aff

for t

rain

ing a

nd

reta

ins t

hem

Out

put 2

.2.1

: Tra

inin

g re

sour

ces o

n LR

IMS,

Agro

-Eco

logi

cal Z

onin

g, SA

VA sc

enar

io d

evel

opm

ent

and

sele

ctio

n of

mai

n in

dica

-to

r dev

elop

ed an

d tr

aini

ng

prog

ram

me c

ondu

cted

Num

ber o

f tra

inin

g pro

-gr

amm

es o

rgan

ized

Num

ber o

f sta

ff fro

m

MAF

/ MON

RE tr

aine

d

Num

ber o

f tra

inin

g m

anua

ls av

aila

ble f

or

furt

her u

se

AMAT

Indi

cato

r 2.2

.1.1

N

o. o

f sta

ff tr

aine

d on

te

chni

cal a

dapt

atio

n th

emes

(dis

aggr

ed-ga

ted

by g

ende

r) [t

o be

sum

med

up

with

ou

tcom

es 1

.2 an

d 3.

1]

No tr

aini

ng o

rgan

-ize

d on

the t

opics

re

leva

nt to

the

com

pone

nt

Very

few

staf

f fro

m

NAFR

I tra

ined

and

unde

rtak

ing o

n cr

op

mod

ellin

g

No st

anda

rd tr

aini

ng

pack

ages

avai

labl

e

- - - -

5 25 1 25

8 25 1 25

4 - - -

At le

ast 1

7 tr

aini

ngs

orga

nize

d tw

o ea

ch fo

r LR

IMS&

NAEZ

At le

ast 5

0 co

re st

aff

from

MAF

/MON

RE

trai

ned

At le

ast t

wo

stan

dard

m

anua

ls av

aila

ble f

or

furt

her u

se

50

Trai

ning

repo

rts

of M

AF

Nom

inat

ion

lette

rs

from

MAF

/MON

RE

Prin

ted

trai

ning

m

anua

ls

Trai

ning

repo

rts

of M

AF

MAF

com

mits

to

sust

ain

the

core

tech

nica

l ca

pacit

y and

co

llabo

rate

s with

ot

her m

inist

ries

and

depa

rtm

ents

to

upd

ate r

ele-

vant

dat

abas

es

and

info

rmat

ion

port

als

Page 33: Monitoring and Evaluation PlanVientane, LAO PDR November 2018. Strengthening Agro-climatic Monitoring and Information Systems (SAMIS) to improve adaptationto climate change and food

26

Expe

cted

Out

puts

Indi

cato

rsBa

selin

eAn

nual

mile

ston

esEn

d pr

ojec

t tar

get

Mea

ns o

f ver

ifi-

catio

nAs

sum

ptio

nsYe

ar 1

Year

2Ye

ar 3

Year

4

Out

put 2

.2.2

: Tra

inin

g re

sour

ces o

n as

sess

men

t of

impa

ct sc

enar

ios a

nd ad

ap-

tatio

n st

rate

gies

dev

elop

ed

base

d on

revi

sed

LRIM

S, SA

VA, N

AEZ

and

inte

grat

ed

into

the m

ajor

agric

ultu

re

deve

lopm

ent p

olici

es an

d pl

ans

Num

ber o

f rel

evan

t ad

apta

tion

stra

tegi

es

iden

tifie

d an

d do

cu-

men

ted

Num

ber o

f MAF

staf

f tr

aine

d on

new

/ina-

nova

tive a

dapt

atio

n st

rate

gies

Num

ber o

f pol

icies

an

d pl

ans p

riorit

ized

the n

ew ad

apta

tion

stra

tegi

es

AMAT

Indi

cato

r 2.2

.1.1

N

o. o

f sta

ff tr

aine

d on

te

chni

cal a

dapt

atio

n th

emes

(dis

aggr

ed-ga

ted

by g

ende

r) [t

o be

sum

med

up

with

ou

tcom

es 1

.2 an

d 3.

1]

Indi

vidu

al ad

ap-

tatio

n pr

actic

es

are i

dent

ified

and

dem

onst

rate

d

Staf

f tra

ined

dep

end-

ing o

n th

eir r

ole i

n pr

ojec

ts (p

roje

ct

base

d tr

aini

ng)

Mat

rix o

f ada

ptat

ion

stra

tegi

es al

igne

d w

ith n

atio

nal a

gri-

cultu

re p

olici

es ar

e no

t ava

ilabl

e

- - - -

10 25 2 25

10 25 2 25

5 - - -

25 At le

ast 5

0 na

tiona

l le

vel M

AF st

aff t

rain

ed

to in

tegr

ate n

ew in

for-

mat

ion

into

at le

ast 4

m

ajor

agric

ultu

ral p

oli-

cies a

nd p

lans

(at l

east

40

% o

f par

ticip

ants

ar

e wom

en)

4 50

A do

cum

ent o

f ad-

apta

tion

stra

tegi

es

prep

ared

Trai

ning

repo

rts

of M

AF

Polic

ies /

pla

ns /

by la

ws i

nclu

de

scen

ario

s or n

ew

adap

tatio

n st

rat-

egie

s

Trai

ning

repo

rts

of M

AF

The p

olicy

pro

-ce

ss ac

tivel

y see

k ne

w st

rate

gies

co

nsid

erin

g foo

d an

d nu

triti

on

secu

rity

Page 34: Monitoring and Evaluation PlanVientane, LAO PDR November 2018. Strengthening Agro-climatic Monitoring and Information Systems (SAMIS) to improve adaptationto climate change and food

27

Expe

cted

Out

com

es/o

utpu

tsIn

dica

tors

Base

line

Annu

al m

ilest

ones

End

proj

ect t

arge

tM

eans

of

verif

icatio

nAs

sum

ptio

nsYe

ar 1

Year

2Ye

ar 3

Year

4

Out

com

e 3.

1: K

now

ledg

e an

d in

form

atio

n sh

arin

g for

lo

cal a

pplic

atio

n, ag

ricul

ture

an

d fo

od se

curit

y pla

nnin

g an

d pr

ogra

mm

ing a

nd

proj

ect o

utco

mes

/out

puts

m

onito

red

and

eval

uate

d to

en

sure

sust

aina

bilit

y

Indi

cato

r 3.2

.2

Stre

ngth

ened

ca

pacit

y to

tran

sfer

appr

opria

te ad

ap-

tatio

n te

chno

logi

es,

disa

ggre

gate

d by

ge

nder

(Sco

re)

AMAT

Indi

cato

r 2.

2.1

No.

and

type

of

targ

eted

inst

itu-

tions

with

incr

ease

d ad

aptiv

e ca

paci

ty to

re

duce

risk

s of a

nd

resp

onse

to cl

imat

e va

riab

ility

[to

be s

umm

ed u

p w

ith o

utco

mes

1.2

and

2.2]

Fram

ewor

k fo

r kn

owle

dge-

shar

ing

and

pack

agin

g of

less

ons l

earn

ed an

d ex

perie

nces

dev

el-

oped

/ im

prov

ed

AMAT

Indi

cato

r 2.

1.1

Rele

vant

thre

at

info

rmat

ion

diss

emin

ated

to

stak

ehol

ders

on

a tim

ely

basi

s (Ye

s/N

o)

1 =

No

capa

city

0 Obso

lete

or n

o sh

ar-

ing a

nd d

issem

ina-

tion

of k

now

ledg

e an

d in

form

atio

n pl

atfo

rm av

aila

ble

0 =

No

- - - -

- - - -

- - - -

2 2 1 1 =

Yes

2 =

Mod

erat

e ca

paci

ty

(50-

75%

)

1 Pl

anni

ng1

Rese

arch

(sta

ff tr

aine

d an

d ca

paci

ty im

prov

ed )

1 1 =

Yes

Loca

l lev

el in

ter-

view

s

Staf

f of D

MH

, M

AF, r

esea

rch

and

tele

com

mun

icat

ion

trai

ned

(10

inst

itu-

tions

tota

l)

Know

ledg

e ex-

chan

ge p

orta

l tha

t su

ppor

ts in

for-

mat

ion

exch

ange

at

bot

h lo

cal a

nd

natio

nal l

evel

s op

erat

iona

l

Clim

ate

advi

sory

lo

cal l

evel

dis

sem

i-na

tion

func

tiona

l

Inst

itutio

ns h

ave

rele

vant

info

rmat

ion

and

know

ledg

e for

lo

cal a

pplic

atio

n,

agric

ultu

re an

d fo

od

secu

rity p

lann

ing

and

prog

ram

min

g

Com

pone

nt 3

: Kno

wle

dge m

anag

emen

t and

diss

emin

atio

n of

info

rmat

ion

and

less

ons l

earn

ed fo

r loc

al ap

plica

tion,

pla

nnin

g, m

onito

ring a

nd ev

alua

tion

Page 35: Monitoring and Evaluation PlanVientane, LAO PDR November 2018. Strengthening Agro-climatic Monitoring and Information Systems (SAMIS) to improve adaptationto climate change and food

28

Expe

cted

Out

com

es/o

utpu

tsIn

dica

tors

Base

line

Annu

al m

ilest

ones

End

proj

ect t

arge

tM

eans

of

verif

icatio

nAs

sum

ptio

nsYe

ar 1

Year

2Ye

ar 3

Year

4

Out

put 3

.1.1

: Loc

al

appl

icatio

n of

clim

ate

info

rmat

ion

and

loca

tion

spec

ific a

dapt

atio

n st

rate

gies

facil

itate

d th

roug

h Fa

rmer

Fie

ld Sc

hool

s (F

FS) i

n clo

se co

ordi

natio

n w

ith cl

imat

e ada

ptat

ion

in w

etla

nd ar

eas (

CAW

A)

proj

ect a

ctiv

ities

Num

ber o

f FFS

or

gani

zed

and

impl

e-m

ente

d

At lo

cal l

evel

, nu

mbe

r of p

eopl

e th

at h

as in

crea

sed

know

ledg

e of C

C at

lo

cal l

evel

thro

ugh

the p

ilotin

g of i

nfor

-m

atio

nAM

AT In

dica

tor

3.2.

1.1

No.

of i

ndi -

vidu

als t

rain

ed in

ad

apta

tion-

rela

ted

tech

nolo

gies

Num

ber o

f fac

ilita

-to

rs tr

aine

d (g

ende

r di

sagg

rega

ted)

AMAT

Indi

cato

r 2.2

.1.1

No.

of st

aff

trai

ned

on te

chni

cal

adap

tatio

n th

emes

(d

isag

greg

ated

by

gen

der)

[to

be

sum

med

up

with

ou

tcom

es 1

.2 an

d 2.2

]

Num

ber o

f FFS

cli

mat

e for

ecas

t cu

rricu

la av

aila

ble

for u

p-sc

alin

g

Pack

age o

f les

sons

le

arne

d

Outp

ut 2

.1.2

.1:

Syst

ems i

n pl

ace

to

diss

emin

ate

timel

y ri

sk in

form

atio

n

No F

FS in

rela

tion

to cl

imat

e cha

nge

adap

tatio

n on

goin

g, NA

FRI w

orks

with

dy

nam

ic cr

op ca

len-

dars

in 7

villa

ges

Num

ber o

f far

mer

s ad

war

e of c

limat

e ch

ange

adap

tatio

n te

chno

logi

es an

d in

form

atio

n sy

stem

(to

be a

sses

sed

with

CA

WA)

0 0 No F

FS cu

rricu

lum

fo

llow

ing r

egul

arly

th

e ent

ire cr

oppi

ng

seas

on an

d pr

ovid

-in

g clim

ate i

nfor

ma-

tion

avai

labl

e. 1

Save

&

Grow

curr

icula

av

aila

ble f

or ri

ce

0 0

- 0 0 - - - -

6 400

400

20 to

tal

50%

fe

mal

e50

% m

ale

20 1 -

7 480

480

20 to

tal

50%

fe

mal

e50

% m

ale

20 - 1 10

7 400

- 400

- - -

20 F

FS w

ith cl

imat

e co

mpo

nent

impl

e-m

ente

d

1280

1280

40 to

tal

50%

fem

ale

50%

mal

e

40 One F

FS cu

rricu

lum

w

ith cl

imat

e for

e-ca

st in

form

atio

n an

d re

leva

nt ad

apta

tion

prac

tices

dev

elop

ed

and

test

ed

1 Pa

ckag

e

10

FFS f

acili

tatio

n re

-co

rds m

aint

aine

d at

dist

rict l

evel

Trai

ning

reco

rds

Trai

ning

reco

rds

Trai

ning

reco

rds

New

curr

iculu

m

avai

labl

e and

pr

inte

d

Less

ons l

earn

ed

reco

rded

and

diss

emin

ated

FFS

reco

rds

Clos

e col

labo

ra-

tion

with

CAW

A es

tabl

ished

and

part

of t

he co

st o

f im

plem

entin

g FFS

bu

dget

ed in

CAW

A pr

ojec

t

CAW

A co

mpl

etes

vu

lner

abili

ty as

-se

ssm

ent a

nd st

art

its ad

apta

tion

to

clim

ate c

hang

e with

th

e com

mun

ity

Exte

nsio

n fro

m

cent

ral a

nd fr

om

prov

ince

gain

ed

know

ledg

e as a

facil

-ita

tor f

rom

FFS

Prov

incia

l and

co

mm

unity

radi

o st

atio

n ke

ep re

ceiv

e in

form

atio

n fro

m

DMH

and

rele

ase

new

regu

larly

Page 36: Monitoring and Evaluation PlanVientane, LAO PDR November 2018. Strengthening Agro-climatic Monitoring and Information Systems (SAMIS) to improve adaptationto climate change and food

29

Expe

cted

Out

com

es/o

utpu

tsIn

dica

tors

Base

line

Annu

al m

ilest

ones

End

proj

ect t

arge

tM

eans

of

verif

icatio

nAs

sum

ptio

nsYe

ar 1

Year

2Ye

ar 3

Year

4

Out

put 3

.1.2

: Kno

wle

dge

and

info

rmat

ion

shar

ing

wor

ksho

ps co

nduc

ted

and

best

pra

ctice

s, ke

y les

sons

di

ssem

inat

ed vi

a pub

lica-

tions

, pro

ject

web

sites

and

othe

rs to

facil

itate

wid

er

awar

enes

s and

util

izatio

n in

oth

er cl

imat

e sen

sitiv

e se

ctor

s

Num

ber o

f kno

wl-

edge

and

info

rma-

tion-

shar

ing w

ork -

shop

s org

anize

d

Num

ber o

f tra

inin

g m

ater

ials,

pro

d-uc

ts, p

ublic

atio

ns,

guid

elin

es, b

ooks

, ha

ndbo

oks,

flyer

s, w

eb-s

ites,

phon

e ape-

plica

tion,

radi

o, T.

V, aw

aren

ess r

aisin

g ev

ent/

activ

ities

with

co

mm

unity

Som

e on-

goin

g/pa

st

proj

ect a

lread

y cap

-tu

re th

e lin

kage

of

clim

ate i

nfo

serv

ices

and

land

reso

urce

s in

form

atio

n sy

stem

s, bu

t the

re is

no

har-

mon

izatio

n on

the

resu

lts u

p ta

king

to

the p

lann

ing

Ther

e are

lim

ited

prod

ucts

and

pub-

licat

ions

avai

labl

e. Pr

evio

us G

EF p

roje

ct

has p

rodu

ced

trai

n-in

g mat

eria

ls th

at

are a

vaila

ble o

nlin

e

4 -

6 6 trai

ning

an

d ot

her

mat

eria

l-w

ebsit

e

6 5 trai

ning

an

d ot

her

mat

eria

ls,

pub-

lic-a

tions

, m

aps,

app

3 5 trai

ning

an

d ot

her

mat

eria

ls,

publ

i-ca

-tion

s, m

aps,

guid

e-lin

es

At le

ast 1

9 kn

owle

dge

shar

ing w

orks

hops

or-

gani

zed

and

info

rma-

tion

shar

ing m

eetin

gs

cond

ucte

d

At le

ast 1

6 pu

blica

-tio

ns p

rinte

d an

d av

ail-

able

for d

istrib

utio

n

Wor

ksho

p an

d m

eetin

g rep

orts

Map

s, da

taba

ses,

anal

ysis,

trai

ning

m

ater

ials,

pub

lica-

tions

, gui

delin

es,

etc a

vaila

ble a

nd

diss

emin

ated

to al

l re

leva

nt in

stitu

-tio

ns an

d ag

encie

s.

MON

RE/M

AF al

low

s fo

r fre

e exc

hang

e of

data

and

info

r-m

atio

n an

d ha

ve

rele

vant

info

rmat

ion

and

know

ledg

e for

lo

cal a

pplic

atio

n

The p

ublic

atio

n ca

rrie

s rel

evan

t in

form

atio

n to

pro

-m

ote u

p-sc

alin

g and

re

plica

tion

Out

put 3

.1.3

: Pro

ject

M&E

sy

stem

esta

blish

ed to

mon

-ito

r act

iviti

es an

d ou

tput

s sy

stem

atica

lly at

all l

evel

s (n

atio

nal, p

rovi

ncia

l and

loo-

cal)

and

outc

omes

eval

uate

d

M&E

pla

ns es

tab-

lishe

d fo

r on-

goin

g us

e with

in ea

ch

part

ner i

nstit

utio

n (D

ALaM

& D

MH)

Num

ber o

f nat

iona

l, pr

ovin

cial a

nd lo

cal

leve

l mon

itorin

g ca

rrie

d ou

t by P

MU

and

CMUs

Depa

rtm

ents

of

Plan

ning

and

Coop

-er

atio

n, In

spec

tion,

Fi

nanc

e m

onito

rs

MON

RE ac

tiviti

es

-

1 2

2 2

2 2

1 2

At le

ast 6

even

ts

orga

nize

d

At le

ast t

wice

in a

year

m

onito

ring v

isits

or-

gani

zed

and

feed

back

pr

ovid

ed

Wor

ksho

p an

d m

eetin

g rep

orts

Mon

itorin

g re-

port

s

Depa

rtm

ents

of

Plan

ning

and

Coop

-er

atio

n, In

spec

tion,

Fi

nanc

e is a

vaila

ble

to m

onito

r act

iviti

es

usin

g pro

ject

bud

get

Page 37: Monitoring and Evaluation PlanVientane, LAO PDR November 2018. Strengthening Agro-climatic Monitoring and Information Systems (SAMIS) to improve adaptationto climate change and food

30

Funding source

Project symbol

Project Title

Reporting period

Supervision missions/visits carried out during the reporting period

FORMAT FOR PPR APPENDIX 2 »

A.1 Progress and Output

A.2 Progress in reaching target indicators as established in the project Results Framework

B Inputs

C.1 Problems encountered and

risks identified (narrative de-scription)

C.2 Actions taken to address any project shortcomings, problems or risk encountered

C.3 Actions planned to address any project shortcomings, prob-

lems or risk encountered

D. Work plan and expected out-put targets for the next reporting period

E. Reports

F. Attachments

Page 38: Monitoring and Evaluation PlanVientane, LAO PDR November 2018. Strengthening Agro-climatic Monitoring and Information Systems (SAMIS) to improve adaptationto climate change and food

FORMAT FOR PIR APPENDIX 3»1. Basic Project Data

• General Information• Milestone Dates• Funding• Review and evaluation• Rating• Status• Project contacts• Project Summary (as in ProDoc – no more than 1 page)

2. Project objectives

• State the development and global environment objectives of the project

• Please provide a narrative of progress made towards meeting the project objective(s). Describe any significant results at the objective and outcome level attributable to project implementation. Also, please discuss any major challenges to meet the objectives or specific project outcomes (not more than 300 words)

• Please provide a narrative of progress towards the stated GEF Strategic Priorities and Targets. (not more than 200 words)

3. Progress towards achieving project objectives

• Project objective and Outcomes

• Description of indicator • Baseline level Mid-term target

• End-of-project target • Level as of the end of the reporting period

• Progress rating • Global Environment Objective/Development Objective Ratings:

• Rating of Project Progress towards Meeting Objective

• Overall rating of project progress towards meeting project objective(s)

Action plan to address MS, MU, U and HU rating. (To be completed by Lead Technical Unit/Budget Holder)

4. Progress in Generating Project Outputs during Implementation

• Outputs, indicator and targets• Expected completion date • Implementation status as of end of the reporting period (%) • Comments if variance• Describe any problems in delivering outputs • Implementation Progress rating • Implementation Progress Ratings

Overall project implementation progress (To be completed by the GEF Coordination Unit)

Page 39: Monitoring and Evaluation PlanVientane, LAO PDR November 2018. Strengthening Agro-climatic Monitoring and Information Systems (SAMIS) to improve adaptationto climate change and food

128 Phone-Xay Road, Phonxay Village, Saysettha District, VIENTIANEMailing Address: PO Box 1640, 01004 VientianeTelephone: +856-21-414503Fax: +856-21-414500E-mail: [email protected]: http://www.fao.org/in-action/samis/en/

CA1208EN/1/01.19

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