方法

A Decision Support Tool for integrating stakeholder perspectives through WEFE Nexus [乌兹别克斯坦]

approaches_7356 - 乌兹别克斯坦

完整性: 86%

1. 一般信息

1.2 参与方法评估和文件编制的资源人员和机构的联系方式

关键资源人员

Senior Scientist:

Akramkhanov Akmal

International Center of Agricultural Research in Dry Areas (ICARDA)

乌兹别克斯坦

SLM专业人员:
SLM专业人员:
有助于对方法进行记录/评估的项目名称(如相关)
ICARDA Institutional Knowledge Management Initiative
有助于对方法进行记录/评估的机构名称(如相关)
International Center for Agricultural Research in the Dry Areas (ICARDA) - 黎巴嫩

1.3 关于使用通过WOCAT记录的数据的条件

(现场)数据是什么时候汇编的?:

2024

编制者和关键资源人员接受有关使用通过WOCAT记录数据的条件。:

2. SLM方法的描述

2.1 该方法的简要说明

The Decision Support Tool helps decision-makers prioritize sustainable land management practices using the Water-Energy-Food-Ecosystem Nexus, fostering collaboration, facilitating social learning, and balancing diverse stakeholder interests.

2.2 该方法的详细说明

该方法的详细说明:

Land management and agricultural production often face diverse and conflicting interests from various stakeholders. The Water-Energy-Food-Ecosystem (WEFE) Nexus offers a framework for addressing these challenges. Under the CGIAR Nexus Gains Initiative, the International Center for Agricultural Research in the Dry Areas (ICARDA) developed a Decision Support Tool (DST) designed to help decision-makers balance stakeholder interests within the WEFE Nexus. The DST’s main objective is to enable comparison and thus prioritization of sustainable land management (SLM) technologies based on specific criteria and stakeholder-assigned weights.
The DST applies a multi-criteria analysis (MCA) framework combined with the Best-Worst Method (BWM) to capture stakeholder preferences and assign weights to different criteria. The MCA follows a hierarchical structure: the overarching goal of SLM is divided into sector-specific objectives for water, energy, food, and ecosystem health. Each is assessed through specific indicators, with stakeholder interviews used to derive weights and calculate a "Nexus Score"—a weighted average reflecting preferences for different SLM practices.
The tool’s development involved two field campaigns:
* The 2023 campaign gathered indicator values for SLM practices through field visits and interviews with farmers, ensuring data reflected field-level conditions. It concluded with a validation workshop leading to adjustments in the ranking system.
* The 2024 campaign focused on collecting stakeholder weights for indicators within the WEFE Nexus through key informant interviews. A workshop gathered stakeholders from ministries and research institutions, and updated participants on the DST’s development and preliminary findings, while collecting feedback.
Using the DST involves the following steps:
Identify Area: Define geographic boundaries, consult local SLM experts for technical validation, and engage stakeholders at local and regional levels.
Use the Tool: Download the DST, compile an inventory of local SLM practices, gather stakeholder weights, review and complete indicator values, generate results, and refine inputs.
Social Learning: Hold validation workshops with stakeholders to review DST outputs, foster knowledge sharing, and address concerns to build consensus.
Implementation: Based on validated DST outcomes and stakeholder input, implement agreed SLM practices.
Overall, the DST aims to unite stakeholders in a shared understanding of land management decisions while addressing conflicting interests and policies. Findings reveal that departments often weigh indicators differently. Cross-departmental weight comparisons indicate shared priorities for certain criteria and highlight gaps in others, paving the way for interdepartmental collaboration.
The results of the weight survey provided notable insights. Within departments, responses exhibit a wide spread, indicating no collective priority. Across departments, certain criteria—such as reducing fuel consumption, food production, and net profit—are prioritized by all. Conversely, criteria like rain use efficiency, non-food production, and employment opportunities are collectively deprioritized.
This work was conducted under the CGIAR Initiative on Nexus Gains, with gratitude to the CGIAR Trust Fund contributors (www.cgiar.org/funders). The DST and approach are inspired by the thesis of J. Verbist, titled “Perspectives on the Economic Feasibility of Increasing Soil-Based Ecosystem Services on Arable Farms in The Netherlands” (2022), conducted at the Business Economics (BEC) Group of Wageningen University under the supervision of Professors H. Saatkamp and M. Kik.

2.3 该方法的照片

关于照片的一般说明:

More elaboration on the figures and the figures for the other departments can be found in the final report (see references).

2.5 采用该方法的国家/地区/地点

国家:

乌兹别克斯坦

有关地点的进一步说明:

Tashkent (Uzbekistan)

2.6 该方法的开始和终止日期

注明开始年份:

2022

注释:

Tool was developed in 2022, with a literature review and followed by initial design, data collection and two validation workshops. The tool is downloadable via repo MEL (ICARDA knowledge repository).

2.7 方法的类型

  • 基于项目/方案

2.8 该方法的主要目的/目标

The objective of the DST is scale Sustainable Land Management through improved stakeholder engagement and integrated Water-Energy-Food-Ecosystem Nexus management.

2.9 推动或妨碍实施本办法所适用的技术的条件

机构设置
  • 阻碍

Institutional setting is relatively set in silos so departments and ministries generally do not mix and exchange ideas optimally.

参与者的的协作/协调
  • 启动

All of the interviewed and collaborated department and ministries were willing to support and attend the workshop, closely following the developments of the DST.

政策
  • 阻碍

Policy in general often reflect the objective of a specific ministry, which can create conflicting policies.

土地治理(决策、实施和执行)
  • 阻碍

Land governance is characterized by a strong push for productivity and land tenure over ownership.

3. 相关利益相关者的参与和角色

3.1 该方法涉及的利益相关者及其职责

  • 当地土地使用者/当地社区

Farmers were interviewed to understand their preference and to quantify indicator values (e.g., how much fuel does their current practice consume)

  • SLM专家/农业顾问

Experts from the four WEFE departments

They were interviewed to get weights for indicators.

  • 研究人员

ICARDA

ICARDA developed the DST based on Multi-Criteria-Decision-Making (MCDM) literature.

  • 国家政府(规划者、决策者)

Four WEFE departments

These stakeholders implement and formulate policies for land management.

如果涉及多个利益相关者,请注明领导机构:

ICARDA developed the DST and organized the field campaigns and workshops.

3.2 当地土地使用者/当地社区参与该方法的不同阶段
当地土地使用者/当地社区的参与 指定参与人员并描述活动
启动/动机 SLM specialist, as user of the DST, should identify a working area and identify relevant stakeholders and locally available good practices.
计划 互动 When indicator data is retrieved and study area is known, weights for the different WEFE indicators should be given by the stakeholders. Based on that a workshop should be organized where stakeholders can discuss the outcome of the DST and move towards implementation.
实施 互动 Once stakeholder agree on the outcome of the DST, the resulting SLM Technologies can be implemented
监测/评估 互动 The DST can be used for MEL as well. Stakeholders can interviewed to see if preferences have changed over time and to validate indicator values when data becomes available.

3.3 流程图(如可用)

具体说明:

The Decision Support Tool (DST) facilitates the planning and implementation of Sustainable Land Management (SLM) practices through a structured process. The flow chart illustrates the four main phases of using the DST: identifying the area, utilizing the tool, promoting social learning, and implementing the plan. Each phase involves specific steps to ensure the tool’s effective use and stakeholder collaboration. The following guidelines provide a detailed explanation of these steps, guiding users from initial planning to final execution.

Objective Values: The first distinct process within the framework of the DST is the incorporation of objective values. These values are derived from measurable and verifiable data such as yield, fertilizer use, irrigation efficiency, and net-income. The DST leverages this quantitative information to assess how well different interventions perform across a range of technical criteria.

Subjective Values: The second process addresses the integration of subjective values, which stem from the perceptions, priorities, and preferences of stakeholders. These values are gathered through weighing, such as Direct Ranking or the Best-Worst Method (BWM), to reflect stakeholders’ interests, but also reflecting social and cultural dimensions. Incorporating subjective values ensures that the tool aligns with the needs and interests of the communities and stakeholders involved, fostering greater acceptance and ownership of the chosen SLM practices. This process emphasizes the importance of balancing technical efficiency with social relevance, resulting in a more holistic and inclusive decision-making process.

1. Identify Area
A.Demarcate Area: Define the geographical boundaries at the farm and watershed levels. These scales are suitable for applying the DST because the DST focusses on land management rather than more abstract national and policy levels.
B.Identify Local SLM Experts: Engage local experts in SLM early in the process to leverage their knowledge about the area’s specific practices and challenges. They are the right people to validate technical aspects of land management, which is invaluable regarding the indicator values.
C.Identify Stakeholders: Identify relevant stakeholders across different levels, including local authorities, farmers, and regional organizations. Even if broader-scale stakeholders (e.g., national ministries) are involved, focus on local or regional branches that directly influence the area.

2. Use the Tool
A.Download the Tool: Access the DST from ICARDA's Monitoring, Evaluation, and Learning (MEL) platform after defining the area and identifying stakeholders.
B.Inventory Local Good Practices: Review existing SLM practices and identify those most relevant for the area. The DST comes with predefined options, but additional practices can be added to reflect the local context.
C.Collect Weights: Gather weights for different indicators from stakeholders using methods like the Best-Worst-Method (BWM) or direct ranking. These weights will be used to reflect stakeholder preferences in the evaluation.
D.Review and Complete Indicator Values: Assess and adjust the default indicator values within the DST to better reflect local conditions, considering factors like soil properties, rainfall, and market conditions. In addition, when local SLM practices are added, these indicators values should also be given.
E.Generate Results: Use the weighted indicators to run the DST and produce visualizations and evaluations of various SLM options.
F.Adjust Inputs: If necessary, refine the input data based on insights gained during the tool’s use, allowing for recalibration of indicator values, weights, or additional local practices.

3. Social Learning
A.Prepare Validation Workshops, Inviting Stakeholders: Organize workshops with identified stakeholders to validate the DST’s outputs. Ensure that all relevant voices are heard, and prepare to address any concerns raised.
B.Validation Workshop: Facilitate a structured workshop where stakeholders can review and discuss the tool’s results. The workshop should encourage knowledge sharing and foster social learning. The DST is a mean to create common understanding and appreciation among WEFE stakeholders for sustainable land management.
C.Iterate:
C1. Concerns to be Considered: Document and address any issues or concerns raised by stakeholders during the workshop, potentially revising the DST inputs or methodology.
C2. Common Approval: Aim for a shared understanding and acceptance of the results, incorporating feedback from the validation process.

4. Implementation
Once the results are validated and any necessary adjustments have been made, proceed to implement the agreed-upon SLM practices. The plan should reflect the insights gained through the DST analysis and stakeholder feedback, ensuring that the execution phase aligns with the validated recommendations.

3.4 有关SLM技术选择的决策

具体说明谁有权决定选择要实施的技术:
  • 所有相关参与者,作为参与式方法的一部分
解释:

The rationale behind the DST as an Approach is that there is somewhat consensus on which SLM Technologies are implemented.

明确做出决策的依据:
  • 对充分记录的SLM知识进行评估(基于证据的决策)
  • 研究结果
  • 个人经验和意见(无记录)

4. 技术支持、能力建设和知识管理

4.1 能力建设/培训

是否为土地使用者/其他利益相关者提供培训?:

  • WEFE Departments
培训形式:
  • 课程
涵盖的主题:

A short course on the WEFE concept and its relation to land management was conducted, to build a common understanding.

4.2 咨询服务

土地使用者有权使用咨询服务吗?:

指明是否提供了咨询服务:
  • 在土地使用者的土地上
  • 在固定中心

4.3 机构强化(组织发展)

是否通过这种方法建立或加强了机构?:

4.4 监测和评估

监测和评估是该方法的一部分吗?:

注释:

ME is not necessarily part of the DST, the process of intermediate feedback is more seen as the process rather than monitoring. ME implementation depends on what is in place by local authorities and land users.

4.5 研究

研究是该方法的一部分吗?

提供进一步的细节,并指出是谁做的研究:

A publication in Operations and Research was done. This paper elaborated on the need, concept, and use of the DST.

5. 融资和外部物质支持

5.1 该方法中SLM组成部分的年度预算

注释(例如主要的资助来源/主要捐助者):

The main objective was to make a DST so not to implement SLM Technologies. DST is programmed in excel exactly for the reason to have no ongoing finance for IT. The Tool is downloadable through the institutional knowledge management of ICARDA (repo MEL). Costs are expected for implementing/constructing the SLMs or for holding the workshops.

5.2 为土地使用者提供财政/物质支援

土地使用者是否获得实施该技术的财政/物质支持?:

5.3 对特定投入的补贴(包括劳动力)

 

5.4 信用

是否根据SLM活动的方法给予信用值?:

5.5 其它激励或手段

是否有其他激励措施或工具用于促进SLM技术的实施?:

6. 影响分析和结论性陈述

6.1 方法的影响

这种方法是否有助于基于证据的决策?:
  • 是,很少
  • 是,中等
  • 是,支持力度很大

The DST requires input data such as indicators value and weight of these indicators. Therefore, the DST is also framework to elaborate decision and priorities in SLM/WEFE, increase evidence-based DM.

该方法是否提高了SLM的协调性和成本效益?:
  • 是,很少
  • 是,中等
  • 是,支持力度很大

The DST shows where stakeholders can work together and where their action contradict, knowing this can lead to more cost-effective policies and improve coordination.

该方法是否提高了其他利益相关者的知识和能力?:
  • 是,很少
  • 是,中等
  • 是,支持力度很大

The DST revolves around WEFE Nexus, hence when presenting the DST, WEFE is also automatically considered as well, which enhanced the knowledge of the stakeholders.

该方法是否建立/加强了机构、利益相关者之间的合作?:
  • 是,很少
  • 是,中等
  • 是,支持力度很大

The DST should lead to cross-department collaborations.

6.4 该方法的长处/优点

编制者或其他关键资源人员认为的长处/优势/机会
Integrated Analysis Across Multiple Sectors: The DST incorporates the Water-Energy-Food-Ecosystem (WEFE) Nexus, enabling a holistic evaluation of Sustainable Land Management (SLM) practices. This allows stakeholders to assess potential trade-offs and synergies across sectors, promoting balanced, multi-faceted decision-making.
Stakeholder-Driven Approach: By gathering weights from stakeholders through methods like the Best-Worst Method, the DST reflects diverse priorities and values. This inclusivity fosters greater acceptance and ownership of SLM decisions, enhancing alignment with local needs and contexts.
User-Friendly and Adaptable Design: The DST is designed to be intuitive and compatible with common spreadsheet software, reducing the need for specialized training. Users can also adapt the tool by adding local practices and adjusting parameters, ensuring it remains relevant across varying contexts.
Support for Social Learning and Collaborative Decision-Making: The DST’s framework encourages stakeholder validation workshops, which facilitate knowledge sharing and collaborative refinement of the tool. This social learning process enhances mutual understanding among stakeholders and builds consensus on SLM priorities.
Visual and Quantitative Decision Support: By translating data into weighted scores and visual representations, the DST provides clear, actionable insights into SLM options. This visual aid helps decision-makers quickly identify win-win solutions or understand potential trade-offs, aiding more informed and efficient planning.

6.5 该方法的弱点/缺点以及克服它们的方法

编制者或其他关键资源人员认为的弱点/缺点/风险 如何克服它们?
Dependence on Stakeholder Involvement: The DST’s effectiveness relies heavily on active engagement from a diverse set of stakeholders to provide accurate weighting and feedback. If stakeholders are unwilling to participate or lack interest, the tool’s output may not fully reflect local priorities and needs. If stakeholder involvement is limited, their weights can be estimated based on previous studies or similar contexts to approximate their likely priorities. Alternatively, you can demonstrate the DST’s relevance by showcasing how it supports their specific goals or decision-making processes, encouraging them to see the value of their input.
Oversimplification of Indicator Values: The DST may reduce complex, multi-faceted indicators to single values, which can overlook important nuances, such as temporal variability or site-specific conditions, potentially leading to decisions that don’t capture the full reality. This can be considered during the proposed workshop and may result in change of indicator values.

7. 参考和链接

7.1 方法/信息来源

  • 实地考察、实地调查

Two surveys were doen. First, one was done to talk to farmers in order to get the values related to the WEFE indicators. Then a second was done to obtain weights of indicates given by the WEFE departements.

  • 与土地使用者的访谈

Interviews to understand how they implement their practice, to fill in indicator values. We have surveyed 20 practices with three farmers each.

  • 与SLM专业人员/专家的访谈

Two workshops were held to validate the developments of the DST and the collected data. The participants can be considers experts and researched.

  • 根据报告和其他现有文档进行编译

Numerous

7.2 参考可用出版物

标题、作者、年份、ISBN:

Verbist, J., & Akramkhanov, A. (2024). A decision support tool for stakeholder engagement in sustainable land management using the WEFE Nexus: A simulation for the Aral Sea Basin stakeholders. Lecture Notes in Operations Research.

7.3 链接到网络上可用的相关信息

标题/说明:

Joren Verbist, Ulugbek Sadullaev, Ruhangiz Nurbekova, Akmal Akramkhanov. (18/12/2023). DSS for WEFE Nexus: Balancing Stakeholder Priorities for Sustainable Land Management and survey results on SLM practices.

URL:

https://hdl.handle.net/20.500.11766/69182

标题/说明:

Akmal Akramkhanov, Joren Verbist, Shakhzoda Umarova. (18/12/2023). Report on the validation of "Sustainable land use practices: increasing soil fertility, effective use of water resources, and increasing the efficiency of agrotechnical activities" workshop.

URL:

https://hdl.handle.net/20.500.11766/69038

标题/说明:

Support Tool for Stakeholder Engagement in Sustainable Land Management using the WEFE Nexus: A simulation for the Aral Sea Basin stakeholders.

URL:

https://hdl.handle.net/20.500.11766/69569

标题/说明:

Joren Verbist, Akmal Akramkhanov. (25/9/2024). A Decision Support Tool for Stakeholder Engagement in Sustainable Land Management using the WEFE Nexus: A simulation for the Aral Sea Basin stakeholders. BWM conference in Delft university.

URL:

https://hdl.handle.net/20.500.11766/69567

标题/说明:

Akmal Akramkhanov, Joren Verbist. (25/9/2024). Decision Support Tool for Sustainable Land Management: Integrating Stakeholders and WEFE Nexus. Landscape 2024 conference Humboldt university.

URL:

https://hdl.handle.net/20.500.11766/69568

标题/说明:

Joren Verbist, Akmal Akramkhanov. (1/12/2023). Progress Report 2023: Decision Support System for WEFE Nexus to balance stakeholder priorities in sustainable land management.

URL:

https://hdl.handle.net/20.500.11766/68947

模块