6b-Ghana_PMP.pdf

Ghana Coastal Sustainable Landscape Performance Management Plan

Table of Contents Introduction

Results Framework

Performance Monitoring Task Schedule

Evaluation Schedule

Performance Data Table

Performance Indicator Reference Sheets

Data Quality Assessment Worksheets

Introduction

The Purpose of the Performance Management Plan (PMP)

This Performance Management Plan (PMP) assists the Coastal Sustainable Landscapes Project (CSLP) Office and the USAID/Ghana Economic Growth (EG) Office in managing the process of monitoring, analyzing, evaluating, and reporting on progress towards the achievement of the CSLP Development Objective: To promote low emissions development in Ghana’s Western Region by strengthening community-based natural resource management and monitoring. This DO is dedicated to achieving the main goal of the Global Climate Change Sustainable Landscapes Strategic Objective 1: Accelerate the transition to low emissions development. This PMP also enables the CSLP to monitor progress towards supporting the Ghana Mission Country Development Cooperation Strategy (CDCS) Development Objective Two and Intermediate Results 2.3 and 2.4, as well as “Feed the Future Initiative’s” Intermediate Results 2. These are, respectively:

Sustainable and broadly shared economic growth (Ghana DO 2);

Increased Government accountability and responsiveness ( Ghana DO 2 IR 2.4);

Improved resiliency of vulnerable households and communities and reduced under-nutrition (Ghana DO 2.3, FtF IR 2) (The main goal of the Feed the Future initiative is to “Sustainably Reduce Global Poverty and Hunger.”

Achievement of the DO, IRs and Sub IRs requires coordination and focused efforts between institutions and agencies, the collection and careful monitoring of valid data for correctly linking programmatic efforts to development results, and the evaluation of data for evidence-based decision-making regarding the effectiveness of aid programs1. The CSLP office implements and monitors all of its development results in coordination with implementing partners (IPs) who implement specific CSLP work plan activities. Thus, this PMP links intended development results (presented as a Results Framework) to CSLP activities/strategies and to the USAID Economic Growth office performance assessment activities.

In the sections that follow, the PMP:

provides an overview of the CSLP’s development objectives and Results Framework (RF), describes CSLP’s monitoring tasks and requirements, describes CSLP’s implementation strategy and potential data sources for performance indicators, describes the CSLP’s management system that includes data collection, storage, analysis, communication and reporting, describes data quality assessment procedures, and presents performance indicators reference sheets (PIRS).

Description of the activities to be implemented

Operating in the six coastal districts of Ghana’s resource-rich Western Region, CSLP activities target landscape level engagement with communities, Civil Society Organizations, GOG agencies, the private sector, and international partners, who live and work in the Greater Amanzule wetlands complex to the west of Takoradi-Sekondi, to Cape Three Points to the east. This landscape includes a wide variety of

1 USAID/GHANA, DEVELOPMENT OBJECTIVE 2: Sustainable and Broadly Shared Economic Growth, PERFORMANCE

MANAGEMENT PLAN (PMP). P.4

land use and land tenure regimes, and therefore requires a broad coalition effort, with key individuals and agencies working at the highest levels of policy making in Accra, to the subsistence farmers living in rural environments.

Convening actors, training a diversity of stakeholders and strengthening their capacity, and providing technical assistance on field and institutional/policy level activities are the methods CSLP uses to achieve its various results.

CSLP activities intend to achieve certain results articulated in the:

1. Global Climate Change Sustainable Landscapes Results Framework,

2. USAID/Ghana Country Development Cooperation Strategy, and

3. US Government’s Feed the Future Global Hunger and Food Security Initiative.

The CSLP responds to the following elements of the USAID SL Results Framework:

Strategic Objective 1: Accelerate the transition to low emission development through investments in clean energy and sustainable landscapes

IR1.2 Invest in land-use practices that stop, slow, and reverse emissions from deforestation and degradation of forest and other landscapes programs.

Sub-IR 1.2.2 Capacity in partner countries for national scale implementation of low emission development strategies in the land-use sector, including REDD+ activities, increased Sub-IR 1.2.2.7 Low emission development and REDD+ approaches demonstrated at the sub-national or sector level Sub-IR 1.2.2.6 Economic incentives for land use practices that reduce GHG emissions established

The SL interventions will support the second development objective of ensuring sustainable and broadly shared economic growth in Ghana under the USAID/Ghana Country Development Cooperation Strategy (CDCS). The goal of the strategy is to support the GoG in realizing its goal of becoming an established middle-income country by 2022.

Within the USAID Ghana CDCS Development Objective 2 (DO2), it is expected that CSLP will primarily contribute to:

IR 2.4: Increased government accountability and responsiveness IR 2.4.2: Improved local community management of natural resources

Additionally this project will contribute to:

IR 2.3: Improved resiliency of vulnerable households and communities and reduced under-nutrition (Ref. FTF IR 2)

The CSLP Project is a sub-project of the overall USAID Fisheries and Coastal Management (FCM) Program. The FCM program will be implemented through a combination of three implementing mechanisms. These agreements are intended to support USAID Forward objectives to use local organizations and host country institutions to implement USAID activities and to contribute to long-term sustainability of project impact. In addition, this approach seeks to leverage other USG investments and unique sector capacity and expertise.

Figure 1. FCM Project Overview

Results Framework

The overall long-term impact of the SL project will be to promote low emissions development in Ghana’s Western Region by strengthening community-based natural resource management and monitoring.

The underpinning intermediate results are:

1. Improved livelihoods through enhanced natural resource management practices

2. Strengthened stakeholder engagement and coordination on sustainable landscape management

3. Enhanced capacity for ecosystem services monitoring

The working and draft results framework (RF) for the SL project, including outputs and cross cutting considerations is found in Figure 2. This RF will guide the project outcomes and serve as a tool for performance monitoring throughout the life of the project.

Figure 2. CSLP Results Framework

The content of the PMP

This performance management plan contains the CSLP Results Framework, a results tracking matrix, a performance evaluation plan, a knowledge monitoring plan, Performance Indicator Reference Sheets

(PIRS) (which embody plans for monitoring and data quality issues), and annexes. This PMP expands upon each intermediate result and is presented with the objectives associated with each IR, results, indicators, measurement, baseline and targets that will be used to measure them.

USAID indicators

1. 4.8-7 Quantity of greenhouse gas (GHG) emissions, measured in metric tons of CO2e, reduced or sequestered as a result of USG Assistance (3.1, 3.3)

2. 4.8.1-26 Number of ha of biological significance and/or natural resources under improved NRM as a result of USG assistance (1.3, 3.2)

3. 4.8.1-29 Number of person hours of training in natural resources management and/or biodiversity conservation supported by USG assistance (1.1, 1.2, 1.4, 2.1, 2.2, 2.3, 3.1, 3.2)

4. 4.8.1-6 Number of people with increased economic benefits derived from sustainable natural resource management and conservation as a result of USG assistance (1.3)

5. 4.8.2-14 Number of institutions with improved capacity to address climate change issues as a result of USG assistance (FtF indicator as well) (1.1, 1.4, 2.1, 2.2, 3.1)

6. 4.8.2-29 Number of person hours of training completed in climate change as a result of USG assistance (1.1, 1.2, 1.4, 2.1, 2.3, 3.1, 3.2, 3.3)

Performance Monitoring Task Schedule

Key Elements of the M&E System

Tasks and Responsibilities Timing

USAID US Forest Service CSLP (Staff & Partners)

Project Level

Results

Framework

DO Team Leader and DO team lead the development of the EG Office DO RF and ensure substantial participation of implementing partners and relevant stakeholders. DO team also provides guidance to implementing partners as they develop their project level RFs.

Develops a project level RF that “fits” with and links to the DO level RF. With regard to activity planning, USFS is responsible for ensuring that all project activities contribute to the achievement of a project and/or DO level result.

Participate as team members in the development of the RF;

ensure the overall RF process is consistent and is in line with the ADS and any relevant guidance such as the

Mission Order on

Performance Management.

Ideally, the mission strategy should come first; DO level RFs are then developed within the context of the mission strategy and project level RFs are developed to link, as appropriate, with DO level RFs. If the ideal is not possible, DO team leader should be sure that DO and project level RFs are consistent, even if it means adjusting project strategies and activities after the DO RF is developed and put into place.

Project Level PMP (DO and IR level)

Facilitates sufficient participation of IPs and stakeholders and ensures that the performance indicators and related data will allow for effective

Provides input into the FCM PMP development process.

Develops a draft project level PMP for review by EG colleagues including the development of the results

Plays the lead role in setting up overall systems and processes to ensure effective

Performance Management for the CSLP project. Ensures the USFS team has an

Optimally, the PMP is completed within 3 months after the approval of the new/updated program strategy/RF.

Tasks and Responsibilities Timing

USAID US Forest Service CSLP (Staff & Partners) performance management and program reporting through the EG office reporting documents.

Official project level PMP is approved by Program Office.

framework, identifying performance indicators, completing indicator reference sheets, providing performance data for specific indicators, etc.

Must be aware of and report indicators that are associated with the project.

Should receive a copy of the FCM level PMP to ensure any updates to the CSLP PMP are incorporated as needed to coincide with key indicators in the FCM PMP.

approved RF and a completed PMP in place.

Supports the USFS team to go through the approval processes.

Project Level M&E Systems

DO Team Leader approves the project level PMP and ensures that project level indicators and data provide the information that is necessary for USAID DO/project management and reporting. AOR/COR ensures that the PMP meets

PAPA requirements.

USFS along with CSLP staff have lead responsibility for developing project level performance monitoring systems, based on PAPA and USAID PMP requirements. Drafts project level PMP and submits to USAID for approval. Ensures that key indicators are reported as appropriate in project level reporting (e.g. quarterly and annual reports). Sets up appropriate data collection mechanisms and ensures data quality.

USFS along with CSLP staff have lead responsibility for developing project level performance monitoring systems, based on PAPA and USAID PMP requirements.

Drafts project level PMP and submits to USAID for approval. Ensures that key indicators are reported as appropriate in project level reporting (e.g. quarterlies and annual reports). Sets up appropriate data collection mechanisms and ensures data quality.

Design and install project performance monitoring system during project start up- generally within 3 months after project award. Changes made, as necessary, based on the level of the change and discussions with the

AOR/COR.

Tasks and Responsibilities Timing

USAID US Forest Service CSLP (Staff & Partners)

Collecting performance data

DO Team Leader and AORs/CORs for relevant projects are responsible for ensuring data are collected and of good quality. The collection of selected indicator data - e.g., higher level FTF and SL indicators, or those collected at the national level or resulting from broad cross-project or sector surveys - is the direct responsibility of the DO team leader (or through its M&E Contractor). In the case of national data, USAID managers may procure the data directly; in the case of survey data, they may oversee the local data collection efforts of local survey research firms, for example. The majority of indicator data, however, will be collected by USFS and CSLP staff. USAID managers will work with USFS to identify issues and resolve problems related to data collection and reporting.

USFS is responsible for collecting most data required by the PMP related to the project (USFS and

CSLP staff may collect the data themselves or work with a third party data collector, as appropriate).

In addition, the project may track project-specific indicators that go beyond the program indicators that are provided to USAID program managers. USFS is responsible for data collection (and quality) for any project-specific indicator.

General oversight of data collection efforts by tracking planned data collection schedules. Facilitate data collection by looking for cross-project opportunities for shared data collection, if/when appropriate (e.g., a household level survey that might be able to include both health and agriculture modules).

On-going and per the Performance Monitoring Task Schedule.

Conducting evaluations and

DO team work with USFS to identify program or project

USFS works with the DO team to determine whether

Project Office works with the Periodic - driven by a management

Tasks and Responsibilities Timing

USAID US Forest Service CSLP (Staff & Partners) special studies issues that might be addressed effectively through an evaluation or special study. The DO teams also confer with the Program Office and senior mission management (e.g., through the PIR process) to determine if an evaluation is warranted. If so, the DO team leader and/or AOR/COR works with the Program Office to determine which mechanism can/should be used to conduct the evaluation.

any existing management issues could be addressed effectively through an evaluation or special study.

When it is decided that an evaluation or evaluative activity is to be conducted, USFS may be included on the evaluation team, depending on needs and the design of the evaluation (e.g., a formative midterm evaluation versus a summative final evaluation).

DO ream to identify the need for evaluations and special studies. Assists in framing the evaluation or developing the SOW if necessary.

Manages or participates on the evaluation as needed.

Ensures that close out requirements are met.

issue/need, a critical gap in information, or to meet a stated need or requirement.

Reviewing performance information

DO teams should establish a process to review and analyze performance in consultation with USFS.

These sessions will allow USFS and DO team members to analyze data as a team, to identify management issues that are affecting project or program performance and to develop options to address any identified issues. This team approach strengthens the quality of the performance analysis and builds commitment to subsequent

USFS review, analyzes, and reports performance data. This analysis is conveyed to the AOTR/COTR through project level reporting (quarterly and annual reports).

In addition, USFS participates in project performance reviews with the project team and jointly with USAID managers.

USFS participates in joint/extended program performance reviews, with

Sets up the overall project system to review and analyze performance results. In collaboration with USFS technical experts, review and analyze project performance and help to identify management issues and options for steps to address any such issues.

On-going. It is highly recommended that performance reviews at the project level be conducted every six months.

Tasks and Responsibilities Timing

USAID US Forest Service CSLP (Staff & Partners) actions. Joint reviews should happen at both the program and project level, with the AOR/COR taking the lead for project level reviews.

DO teams develop and compile data tables and conduct related analyses of performance information in preparation for internal mission portfolio (performance) reviews. DO teams prepare or update any documents required for performance reviews.

Project and program performance reviews should happen every six months.

USAID managers and all relevant IPs of the FCM program.

Tasks and Responsibilities Timing

USAID US Forest Service CSLP (Staff & Partners)

Reporting performance results (annual reporting process & portfolio reviews)

The DO team summarizes performance results for portfolio reviews, develops summary write ups for annual reporting processes, and assists in completing data tables.

USFS reports key data in CSLP project reports (quarterly and annual reports). The project’s annual report is expected to have higher level results reporting and analysis (i.e.

review of the year). As appropriate, data and information from project level reports are included in program and mission reports by USAID.

Responsible for the preparation and submission of all project-wide reports to USFS. This includes working with IP teams to assemble all necessary material (data analysis, supporting narrative, etc.), and also preparing analyses and narrative information from field activities. The Project Office also reviews project level annual reports and any program-specific reports focused on performance.

Projects report through quarterly and annual reports. The annual Program Performance Report and the Operational Plan are provided to

USAID/W.

Assessing data quality

The DO team (and/or the AOR/COR) ensures that DQAs are conducted in a timely fashion so that USAID DQA requirements are met, and that appropriate documentation related to data quality is maintained.

The DO team and AOTR/COTRs identify data quality issues and solutions on an ongoing basis and ensure follow-up regarding identified issues with the USFS team.

Ensures that data provided to USAID meet USAID data quality guidelines, to the maximum extent possible.

Provides input into data quality assessments. Flags data quality issues.

Maintains documentation in the files regarding follow up on data quality issues.

Plays the lead role in ensuring that the project has systems, standard tools, and processes in place to ensure data quality and meets reporting requirements.

Establishes policies and approaches in relation to data quality. May lead or facilitate a Mission process to conduct DQAs. Provides related technical support on data quality issues and tasks.

On-going process for AOR/COR and DO teams. If issues emerge, they should be flagged. Any required DQAs in a given year should be completed, with issues and solutions identified, prior to the preparation of the annual report.

Reviewing and updating the PMP

Draft and update the DO/FCM level PMP as

Draft and update the project level PMP as needed.

Sets up an overall process for systematically reviewing and

On-going process as project and activities

Tasks and Responsibilities Timing

USAID US Forest Service CSLP (Staff & Partners) and maintaining the overall performance management system needed. Updates might include (a) adding, deleting or revising performance indicators; (b) changing data sources or data collection methods for a given indicator

(c) updating DQA worksheets; (d) updating performance data and analyses; and (e) adding, deleting or updating data collection instruments. The PMP template, which guides the preparation of PMPs, may also be updated. The final PMP is submitted to the Program Office and Mission Director for approval. Final version of the PMP is maintained in mission files.

Updates might include (a) adding, deleting or revising performance indicators; (b) changing data sources or data collection methods for a given indicator (c) updating DQA worksheets;

(d) updating performance data and analyses; and (e) adding, deleting or updating data collection instruments.

The final PMP is submitted to the Program Office for approval. Final version of the PMP is maintained in project files.

updating the PMP, and more broadly, the performance management system. Assists IPs and/or teams as necessary at any point that updates are necessary or to solve problems.

evolve. Formal process is completed once a year following the portfolio reviews.

Evaluation Schedule

Name of

Activity Implementing

Partners Type of

Instrument

Life of

Project

Total

Value

(US $)

Evaluations

Completed

Evaluations

Future

Evaluations Future

Type2/

Date

Budget

(US$)

Type/Date

Budget

(US$)

Type/Date Budget

(US$)

Coastal

Sustainable

Landscapes

Project

USFS

Participating

Agency

Program

Agreement between

USAID and

USFS

3 years

(2013-

2016)

$ 3.7 million

Baseline

TBD

Mid-Term

Final

2 performance, impact, or other

Performance Data Table

Objective/Indica tor Baseline

FY2014 FY2015 FY2016

Target Actual Target Actual Target Actual

Development Objective (DO):

To promote low emissions development in Ghana’s Western Region by strengthening community-based natural resource management and monitoring.

4.8-7 Quantity of greenhouse gas

(GHG)

emissions, measured in metric tons of

CO2e, reduced or sequestered as a result of

USG assistance

37515 CO2 e 3660 CO2 e 20496

CO2 e

43188

CO2 e

4.8.1-26 Number of ha of biological significance and/or natural resources under improved NRM as a result of

USG assistance

Survey TBD 400 Ha

Ha

1800 Ha

4.8.1-29 Number of person hours of training in natural resources management and/or biodiversity conservation supported by USG assistance

Survey TBD 3000 hours hours

14400

4.8.1-6 Number of people with increased economic benefits derived from sustainable NRM and conservation as

Survey

300 People

People

People a result of USG assistance

4.8.2-14 Number of institutions with improved capacity to address climate change issues as a result of USG assistance

Find out level of awareness through interviews of the institutions (TBD) proposed;

District Assemblies

Traditional Council

Traditional/Town

Palaces 30

CREMAs 9

Farmer Based Org 9

WR EPA

FSD

WD

WR MOFA

20 50 70

4.8.2-29 Number of person hours of training completed in climate change as a result of USG assistance

Survey TBD 1000 hours

Performance Indicator Reference Sheets Performance Indicator Reference Sheet

Name of Develop Objective: To promote low emissions development in Ghana’s Western Region by strengthening community-based natural resource management and monitoring.

Name of Intermediate Result: IR 3: Enhanced capacity for ecosystem services monitoring

Name of Indicator: 4.8-7 Quantity of greenhouse gas (GHG) emissions, measured in metric tons of CO2e, reduced or sequestered as a result of USG assistance

Is this a USAID Annual Report indicator? Yes, for all reporting years.

DESCRIPTION

Precise Definition(s): This indicator reports the quantity of greenhouse has (GHG) emissions, estimated in metric tons of CO2-equivalent, reduced, sequestered, and/or avoided, as a result of USG activities, as compared to a baseline level of GHG emissions. The baseline is the business as usual reference for GHG emissions that would have occurred during the reporting period if there had been no USG intervention.

This indicator is a calculated estimate and not a result of direct emissions measurements.

Higher=Better.

Unit of Measure: Metric Tons of Co2 equivalent

Disaggregated by: N/A

Justification & Management Utility: The Development Objective (The Overall Goal) of the project is aimed at reducing emission of greenhouse gases. It is therefore required to have an indicator that can help to estimate carbon sequestration using a transparent and globally acceptable procedure. This indicator will enable the project to know whether emission is stabilized, reducing or increasing as a result of USG assistance in the region.

PLAN FOR DATA ACQUISITION BY CSLP

Data collection method: The measurement will be done through land use/vegetation/biodiversity sampling sites’ measurement of parameters and using standard formulas to estimate carbon stocks.

Data Source: The source of data will be field measurements taken by the CSLP and partner staff as well as community volunteers whose capacity will be built to monitor carbon stocks regularly.

Method of data acquisition by CSLP: The identified sites will be monitored at set periodic times and the set parameters will be measured. Carbon stocks will be calculated and compared with previous years.

Frequency and timing of data acquisition: Data will be received monthly by the CSLP Specialists from the field for analysis and processing.

Estimated cost of data acquisition: Estimated cost (in dollars and/or level of effort) of collecting, analyzing and providing the data to USAID is TBD.

Individual(s) responsible at CSLP: The Environmental Planning and Spatial Planning Specialist and the Assistant Director

Individual(s) responsible for providing data to CSLP: The CSLP Director and the Assistant Director

Location of Data Storage: The data will be stored electronically within the CSLP office in Takoradi.

DATA QUALITY ISSUES

Date of Initial Data Quality Assessment: The initial data quality assessment will be May 2014 after the baseline data is completed in April 2014.

Known Data Limitations and Significance (if any): N/A

Actions Taken or Planned to Address Data Limitations: N/A

Date of Future Data Quality Assessments: Subsequent Data quality assessment will be conducted yearly. The subsequent data quality assessment will be carried out in April 2015.

Procedures for Future Data Quality Assessments: Once system identified for establishing baseline, similar activities will take place regularly to monitor and develop spot checks to ensure data quality.

PLAN FOR DATA ANALYSIS, REVIEW, & REPORTING

Data Analysis: Data will be analyzed through spot checks by the Environmental Services Specialist, Assistant Director and USFS experts on a semiannual basis to ensure data quality.

Presentation of Data: Data will be presented through graphics (charts and tables) as much as possible to allow for easier interpretation by all stakeholders including community-level partners. Additionally, reporting will include narrative descriptions.

Review of Data: Data will be reviewed semiannually in order to ensure data quality and to provide updated information for quarterly reporting to

USAID.

Reporting of Data: Quarterly and annual reports will feature data tables along with narrative information. Budget requests will similarly leverage data analysis, where possible and practical, in order to request additional funding. Reports to the US Ambassador and other interested USG and Government of Ghana counterparts will also include data whenever and wherever practical.

OTHER NOTES

Notes on Baselines/Targets: Baselines and targets are to be established with the assistance of USFS technical expertise between March and April

2014.

Other Notes:

PERFORMANCE INDICATOR VALUES

Year Target Actual Notes

THIS SHEET LAST UPDATED ON: 04/02/14

To avoid version control problems, type the date of most recent revision or update to this reference sheet.

Name of Develop Objective: To promote low emissions development in Ghana’s Western Region by strengthening community-based natural resource management and monitoring.

Name of Intermediate Result: IR 1: Improved livelihoods through enhanced natural resource management practices

IR 3: Enhanced capacity for ecosystem services monitoring

Name of Indicator: 4.8.1-26 Number of ha of biological significance and/or natural resources under improved NRM as a result of USG assistance

Is this a USAID Annual Report indicator? Yes, for all reporting years.

DESCRIPTION

Precise Definition(s): “Improved natural resource management” includes activities that promote enhanced management of natural resources for one or more objectives, such as conserving biodiversity, sustaining soil or water resources, mitigating climate change, and/or promoting sustainable agriculture.

Management will be guided by a stakeholder-endorsed process following principles of sustainable NRM and conservation, improved human and institutional capacity for sustainable NRM and conservation, access to better information for decision-making, and/or adoption of sustainable

NRM and conservation practices.

An area is considered under “improved management” when any one of the following occurs: management actions are implemented; adaptive management is demonstrated; or on-the-ground management impacts are demonstrated.

Reported as total number of hectares improved during the fiscal year in question, which can include maintained improvement in previously reported hectares and/or new, additional hectares.

A subset of this indicator may also be reported as “Number of hectares of natural resources showing improved biophysical conditions as a result of

USG assistance” if the latter indicator is used; double counting IS allowed.

Higher=better.

Reported as total number of hectares improved during the fiscal year in question, which can include maintained improvement in previously reported hectares and/or new, additional hectares. Improved management should be reported for activities where the CSLP project is plausibly linked to the improvements observed.

Unit of Measure: Hectares.

Disaggregated by: Biologically significant areas=areas identified as important for biodiversity through national, regional, or global priority-setting processes. Biodiversity-funded (components of) activities should report on this category regardless of overlap with other categories.

All other areas=areas with natural resources which are outside of biologically significant areas and targeted for management interventions with non-biodiversity funds. These may include areas characterized by forest production, watersheds, sustainable agriculture areas, areas with tree crop or agroforestry systems.

Justification & Management Utility: Due to inequity in benefit sharing, ownership and management roles of natural resources, people are not interested in establishing private and/or collective forestry/agroforestry resources. An improved policy and enabling environment is the only sure means to encourage more private resources creation. An increase in the number of hectares of private and/or collective forestry/agroforestry estates indicates attractive enabling environment/policy.

PLAN FOR DATA ACQUISITION BY CSLP

Data collection method: Land area under improved management will be estimated using GPS and estimated in hectares. The CSLP staff and partners will collect this information from any piece of land that is identified for development including all other biological information relevant for LED/REDD+. This data will be stored in hard copies and/or soft copies in CSLP office in Takoradi

Data Source: This data will be gathered by the field staffs of CSLP and partners in the field in collaboration with site owners and community stakeholders. It will involve the use of GPS, GIS software in spatial planning analysis.

Method of data acquisition by CSLP: The data will be collected as and when sites are identified and prepared for development. Therefore, every week or day that a site is earmarked following awareness creation, the data will be taken.

Frequency and timing of data acquisition: The data will be received weekly by CSLP from partner staffs and/or CSLP staff through the specialists.

Estimated cost of data acquisition: Staff time will be used to collect and analyze data. Minimal training costs may be incurred to train community members on data collection methods as necessary.

Individual(s) responsible at CSLP: The Environmental and Spatial Planning Specialist and the Assistant Director.

Individual(s) responsible for providing data to CSLP: The Director and the Assistant Director.

Location of Data Storage: The data will be stored electronically in the CSLP office in Takoradi.

DATA QUALITY ISSUES

Date of Initial Data Quality Assessment: Data quality will be assessed monthly and the first assessment will be conducted one month after the start of field activities, likely to be May 2014.

Known Data Limitations and Significance (if any): A potential data quality limitation could be the precision level of the GPS for collecting the data.

Actions Taken or Planned to Address Data Limitations: Good precision GPS units will be used for the data collection. Staff will be trained in the use of the GPS and in planning to collect data on more favorable cloud free times in the day.

Date of Future Data Quality Assessments: Data quality assessments will be conducted quarterly.

Procedures for Future Data Quality Assessments: Data checks will be conducted by sampling sites which are distributed among partners’ sites and areas of jurisdiction. Sample sites will be categorized into small, medium and large sizes and samples will be taken from all 3 categories.

PLAN FOR DATA ANALYSIS, REVIEW, & REPORTING

Data Analysis: The raw data will be entered into GIS/Spatial Planning software for analysis. This will be done by CSLP and partners and will be done weekly as and when the data arrives.

Presentation of Data: The data will be processed into GIS/Spatial Planning maps. This will be done internally by the CSLP and partners.

Review of Data: The data will be reviewed and analyzed during monthly internal or activity-level reviews with implementing partners.

Reporting of Data: The data will feature in quarterly and annual reports through tables as well as narrative information.

OTHER NOTES

Notes on Baselines/Targets: Baselines will be conducted during the month of April 2014.

Other Notes:

PERFORMANCE INDICATOR VALUES

Year Target Actual Notes

2014 560 Ha

2015 1200 Ha

2016 1800 Ha

To avoid version control problems, type the date of most recent revision or update to this reference sheet.

Name of Develop Objective: To promote low emissions development in Ghana’s Western Region by strengthening community-based natural resource management and monitoring.

Name of Intermediate Result: IR 1: Improved livelihoods through enhanced natural resource management practices

IR 2: Strengthened stakeholder engagement and coordination on sustainable landscape management

IR 3: Enhanced capacity for ecosystem services monitoring

Name of Indicator: 4.8.1-29 Number of person hours of training in natural resources management and/or biodiversity conservation supported by USG assistance

Is this a USAID Annual Report indicator? Yes, for all reporting years.

DESCRIPTION

Precise Definition(s): This indicator uses the following equation to express the number of USG-supported training hours that were completed by training participants: (Hours of USG supported training course X Number of people completing that course).

Support from the USG: This indicator counts training hours that were delivered in full or in part as a result of USG assistance. This could include provision of funds to pay teachers, providing hosting facilities, or other key contributions necessary to ensure training was delivered. This indicator does not automatically count any course for which the USG helped develop the curriculum, but rather focuses on delivery of courses that was made possible through full or partial funding from the USG.

People: only people who complete the entire training course are counted for this indicator.

Training: Training is defined as sessions in which participants are educated according to a defined curriculum and set learning objectives. Sessions that could be informative or educational, such as meetings, but do not have a defined curriculum or learning objectives are not counted as training. Natural resources and biodiversity is defined as conserving biodiversity and management natural resources in ways that maintain their long-term viability and preserve their potential to meet the needs of present and future generations.

Unit of Measure: Number of person hours.

Disaggregated by: The data will be disaggregated according to sex (male/female), youth/adult, and district. Involving the youth and women will ensure that natural resources management decisions are embedded amongst the community members so as to incorporate the concerns of all stakeholders.

Justification & Management Utility: The development objective seeks to improve capacity of stakeholders in the six districts in low emissions development and these calls for training of individuals and stakeholders in that direction. The more stakeholders and individuals that are trained, the higher the likelihood that low emission development capacity will be sustained in the districts.

PLAN FOR DATA ACQUISITION BY CSLP

Data collection method: The data will be gathered from participants’ lists in all capacity building/training events within the six districts and even outside the districts at regional and national levels. The data will be collected by the CSLP staff and partners.

Data Source: The data will be from CSLP direct field activities as well as partner field activities that comprise capacity building, training and skill development.

Method of data acquisition by CSLP: CSLP and partners will plan training, awareness creation and other skill development events. Participant lists will be gathered from these events to provide the data for CSLP. The CSLP team will receive these data through weekly reporting by field staff and monthly reporting by partners.

Frequency and timing of data acquisition: The data will be generated weekly as and when the events occur in the work plans of field staff of CSLP and partners.

Estimated cost of data acquisition: Staff time will be used to collect and analyze data therefore no additional cost for collection is foreseen.

Individual(s) responsible at CSLP: All CSLP staff conducting training.

Individual(s) responsible for providing data to CSLP: Assistant Director.

Location of Data Storage: The data will be stored electronically in the CSLP office in Takoradi.

DATA QUALITY ISSUES

Date of Initial Data Quality Assessment: The initial data quality assessment will be conducted by June 2014 by the Assistant Director.

Known Data Limitations and Significance (if any): There could be multiple counting of the same individual(s). This could inflate the numbers and create the picture as if more individuals have received training by the project.

Actions Taken or Planned to Address Data Limitations: In order to try and mitigate double counting, as much as possible, everyone participating in training will be given a unique identification number he/she will be asked to remember at his/her first attendance at a CSLP training event.

Participants will be documented with their birth date, household information, family name, etc. At subsequent trainings, participants with ID numbers will be required to use them as their unique identifier in order to more accurately count the number of people trained.

Date of Future Data Quality Assessments: Data quality assessment will be conducted quarterly. The first data quality assessment will be conducted in June 2014.

Procedures for Future Data Quality Assessments: There will be planned periodic/quarterly visits to communities to identify individuals and interact with them to confirm that they are not being recorded more than once.

PLAN FOR DATA ANALYSIS, REVIEW, & REPORTING

Data Analysis: The data will be analyzed according to sex (male/female), youth/adult, and district. This will be analyzed by the Assistant Director on a quarterly basis.

Presentation of Data: The data will be analyzed and presented in table format for reporting purposes and aggregated in narrative reporting.

Review of Data: CSLP and partner team will review and analyze the data during internal or activity-level reviews.

Reporting of Data: The data will be reported in quarterly and annual reporting through tables and through narrative information.

OTHER NOTES

Notes on Baselines/Targets: The baseline targets were set based on the assumption that in each of the six districts we should have average of thirty-five communities and we will target at least six people per community per year.

Other Notes:

PERFORMANCE INDICATOR VALUES

Year Target Actual Notes

2014 4800

2015 9600

2016 14400

To avoid version control problems, type the date of most recent revision or update to this reference sheet.

Name of Develop Objective: To promote low emissions development in Ghana’s Western Region by strengthening community-based natural resource management and monitoring.

Name of Intermediate Result: IR 1: Improved livelihoods through enhanced natural resource management practices

Name of Indicator: 4.8.1-6 Number of people with increased economic benefits derived from sustainable natural resource management and conservation as a result of USG assistance

Is this a USAID Annual Report indicator? Yes, for all reporting years.

DESCRIPTION

Precise Definition(s): Number of people may be a direct count, or it may be determined by multiplying number of households with increased economic benefits by the number of people per household. Increased economic benefits are increases in economic earnings or consumption due to sustainable management or conservation of natural resources, which can include wages, communal revenues, non-cash benefits, and economic benefits from ecosystem services.

Higher=Better.

Number is specific to each year, not cumulative.

Unit of Measure: Number of people.

Disaggregated by: The data will be disaggregated by sex (male/female), age (youth/adult), and district. This is to ensure that all ages are involved but especially that activities implicate women and youth to encourage equity in decision making and benefit sharing.

Justification & Management Utility: The IR seeks to adopt practices that increase economic benefits to the people of the six coastal districts of the

Western Region. This indicator will thus enable the CSLP to track and segregate the number of people by sex, age and district location who are associated with the first two indicators being tracked as a part of CSLP—as an objective means of associating economic benefits with improved management and sequestration or reduction of GHG emissions. A high number of people benefiting from natural resources management related livelihoods will likely result in sustainable management of the resources and also being climate change conscious.

PLAN FOR DATA ACQUISITION BY CSLP

Data collection method: There would be data collected on the number of people that adopt and implement any of the livelihood ventures including their direct dependents. They will be segregated into sex and age class and also into district of origin. Structured interviews will be used to determine their direct dependents. The data will be collected by staff of CSLP and partners. The data will be stored electronically in the CSLP office in Takoradi.

Data Source: The data will be gathered from the field of people implementing livelihood activities through CSLP.

Method of data acquisition by CSLP: CSLP staff will submit data weekly from the field, while partners will submit data monthly. This data will be collected via interview and survey.

Frequency and timing of data acquisition: The data will be received weekly by the CSLP staff and monthly by partners.

Estimated cost of data acquisition: Staff time will be used to collect data therefore no additional expenses are anticipated.

Individual(s) responsible at CSLP: The Assistant Director and the field staff of CSLP will be responsible for collection and receipt of data.

Individual(s) responsible for providing data to CSLP: The Assistant Director

Location of Data Storage: Data will be stored electronically in the CSLP office in Takoradi.

DATA QUALITY ISSUES

Date of Initial Data Quality Assessment: Initial data quality assessment will be done three months after the start of field work, anticipated for July

2014.

Known Data Limitations and Significance (if any): A likely limitation could be multiple counting of individuals. If same household is counted more than once, it will result in inflation of the figures and make the data less reliable. A PIN number will be used where possible to identify individuals/households in order to avoid double-counting.

Actions Taken or Planned to Address Data Limitations: The data collection instrument should take more information such as age, location, full names etc. so that likely multiple counting will be identified and rectified.

Date of Future Data Quality Assessments: The first data quality assessment will be conducted in July 2014, after three months of field work.

Procedures for Future Data Quality Assessments: The data will be assessed through visits to the communities, identifying the people and conducting short interview/discussions with them.

PLAN FOR DATA ANALYSIS, REVIEW, & REPORTING

Data Analysis: The data will be analyzed and categorized into numbers of people, sex, location (town and/or district), and age. The analysis will be completed monthly by the Assistant Director.

Presentation of Data: The data will be presented in table format and aggregated to be presented in narrative format.

Review of Data: The CSLP team and partners will review and analyze the data during monthly internal review with implementing partners.

Reporting of Data: The data will feature in quarterly and annual report through data tables and narrative information.

OTHER NOTES

Notes on Baselines/Targets: The baselines are yet to be conducted and will be done through survey in April 2014. The targets were based on the fact that at least 50 people will be targeted per each of the six districts per year.

Other Notes:

PERFORMANCE INDICATOR VALUES

Year Target Actual Notes

2014 300

2015 600

2016 900

To avoid version control problems, type the date of most recent revision or update to this reference sheet.

Name of Develop Objective: To promote low emissions development in Ghana’s Western Region by strengthening community-based natural resource management and monitoring.

Name of Intermediate Result: IR 1: Improved livelihoods through enhanced natural resource management practices

IR 2: Strengthened stakeholder engagement and coordination on sustainable landscape management

IR 3: Enhanced capacity for ecosystem services monitoring

Name of Indicator: 4.8.2-14 Number of institutions with improved capacity to address climate change issues as a result of USG assistance

Is this a USAID Annual Report indicator? Yes, for all reporting years.

DESCRIPTION

Precise Definition(s): Institutions with improved capacity will be better able to govern, coordinate, analyze, advise, or make decisions related to mitigation, adaptation, and improved natural resources management. “Improvement” can be ascertained by evaluating capacity gained as a result of training and other interventions as a result of the CSLP project. Relevant institutions may include Government of Ghana agencies, private sector entities, communities and community groups (CREMAS, NGOs, farmers’ or fishing associations), and others.

In order to assess capacity, some possible measures of institutional improvement may include:

-Providing input to relevant assessment or planning exercises, -Increasing the number of certified or technically trained staff, -Engaging with stakeholders to ensure that policies, plans, budgets and investments reflect local realities and ensure that local communities benefit from climate change efforts and investments, -Having access to equipment or other inputs necessary for planning, assessment and management of climate change topics, or

-Collaborating with scientists and policymakers, or hosting workshops involving relevant sectors or themes (e.g. agriculture, environment, forestry, energy, and water) to engage with climate change assessments, plans, or activities.

The narrative accompanying this indicator should describe the nature and extent of capacity built, and the institution(s) involved. If a project builds capacity of the same two institutions from one year to the next, the same number should be reported each year

Unit of Measure: Number of institutions.

Disaggregated by: N/A

Justification & Management Utility: Climate Change is a problem of all and requires addressing the root causes. It therefore requires a sustained and long term initiative that cannot be achieved by a short term project such as CSLP. Sustainability can be assured if local institutions, both governmental and non-governmental within the CSLP coverage area, are engaged to participate in the process. The higher the number of local institutions that are brought on board, the higher the chances of sustaining the ideals of the project. It will also ensure a good number of stakeholders speaking to the same voice on climate change impact reduction.

PLAN FOR DATA ACQUISITION BY CSLP

Data collection method: Planned programs will involve institutions within the catchment area. Participants list will identify the source of participants. Data will be collected by CSLP and partner teams and will include stakeholder interviews to identify how and if institutional capacity has been enhanced.

Data Source: The source of the data will be participants’ lists from project events and events reports in addition to surveys of stakeholders within identified institutions.

Method of data acquisition by CSLP: The CSLP will receive data from CSLP staff and partners on a monthly basis.

Frequency and timing of data acquisition: Data will be received monthly from the CSLP and partner field staff.

Estimated cost of data acquisition: Staff time will be used to collect and analyze data therefore no additional expenses are anticipated.

Individual(s) responsible at CSLP: All CSLP staff.

Individual(s) responsible for providing data to CSLP: Assistant Director

DATA QUALITY ISSUES

Date of Initial Data…