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The Agriculture, Vulnerability and Adaptation (AVA) project in Colombia's Upper Cauca River Basin is developing a comprehensive vulnerability assessment model to help the agricultural sector adapt to climate change. Moving beyond traditional biophysical models, the AVA approach integrates four dimensions: biophysical, political-institutional, economic-productive, and sociocultural. This interdisciplinary and participatory method involves stakeholders—including farmers, researchers, and government authorities—to identify key indicators and collect data, ensuring the results are relevant to local needs and less sensitive to the uncertainties of climate modeling. The project aims to create a universally accessible tool for adaptation planning that can be scaled to regional or national levels.

The authors introduce Service Path Attribution Networks (SPANs), developed as part of the Artificial Intelligence for Ecosystem Services (ARIES) project, to address the 'spatial mismatch' between where ecosystem services are produced and where they are used. The framework distinguishes between provisioning services (beneficial carriers) and preventive services (detrimental carriers), utilizing agent-based modeling to track 'carrier agents' across the landscape. By identifying source, sink, and use locations, the model generates five types of maps—theoretical, possible, actual, inaccessible, and blocked—to help decision-makers identify where service delivery is efficient or impaired. The paper demonstrates the application of SPANs to five service types: aesthetic viewsheds, riverine flood regulation, subsistence fisheries, recreation, and carbon sequestration, arguing that this flow-based approach enables more accurate valuation and targeted conservation planning.

The document details the outcomes of a September 2011 workshop designed to scope the Arctic Resilience Report (ARR). It defines resilience as the capacity of a system to absorb disturbance and reorganise while retaining its identity, and proposes a methodology to identify 'tipping points'—abrupt and potentially irreversible changes in social-ecological systems. The report outlines a preliminary assessment of Arctic drivers (such as climate change and resource demand), sources of general resilience (including biodiversity and governance), and potential regime shifts across local, regional, and pan-arctic scales. It concludes with a formal proposal to the Arctic Council to implement the ARR project between 2012 and 2015, emphasizing the integration of indigenous knowledge and the need for policy-relevant outputs.

The policy brief examines how local climate adaptation lessons are 'upscaled' to inform higher-level decision-making. It introduces a framework based on two axes—epistemology (realism vs. constructionism) and intent of inquiry (universalism vs. contextualism)—to categorize how case studies mediate between local efforts and political goals. By analyzing projects in Sweden, Canada, and Indonesia, the brief demonstrates that methodological choices determine whether research supports planned regulatory policy or non-coercive, self-organized adaptation. It emphasizes the need to balance benefits between community stakeholders, policy makers, and researchers.

The report examines how local climate adaptation lessons are 'upscaled' to inform national or sub-national policy. It introduces a sense-making framework based on two axes—epistemology (realism vs. constructionism) and intent of inquiry (universalism vs. contextualism)—to categorize how research connects with policy. By analyzing three case studies (Stockholm, Niagara, and the Mahakam Delta), the authors demonstrate that methodological choices determine whether research supports 'planned policy' (regulatory/coercive) or 'self-organised adaptation' (non-coercive). The report argues that case studies can serve as platforms to challenge disabling governance structures and leverage stakeholder competencies to reinvent institutions.

The document argues that effective climate adaptation requires a comprehensive information system comprising basic climate data, economic cost-benefit analyses, adaptation best practices, and vulnerability assessments. It emphasizes that information must be user-centered and iterative, moving beyond simple scientific publication to a collaborative dialogue between providers and decision-makers. The author highlights significant gaps in observational data, particularly in the developing world, and the difficulty of scaling global climate models to local levels. To ensure equitable and effective use, the paper suggests the use of 'boundary organizations' like NGOs and local universities to translate complex data into locally relevant knowledge, while adhering to specific communication principles to overcome barriers like scientific jargon and uncertainty.

The Global Subsidies Initiative (GSI) presents a methodology for measuring irrigation subsidies by calculating the difference between the cost of making irrigation water available and the revenue received from beneficiaries. The framework focuses on 'full supply cost,' incorporating annual capital costs (interest and depreciation) and operation and maintenance (O&M) costs, while excluding complex elements like opportunity costs and full social costs due to data constraints. It provides detailed guidance on allocating joint capital costs in multi-purpose projects using the Alternative Justifiable Expenditures (AJE) and Separate Costs, Remaining Benefits (SCRB) methods. The methodology also addresses specific subsidies such as discounted electricity for groundwater pumping and identifiable government expenditures on environmental externalities. Revenue components include water sales, hydropower, fishing rights, and pollution taxes.

The report introduces the Impact Pathways Framework to quantify the public benefits of agricultural Beneficial Management Practices (BMPs). Using the South Tobacco Creek (STC) watershed in Manitoba as a case study, the authors analyze three specific BMPs: zero-till, forage conversion (permanent cover), and small multi-purpose dams. The study calculates the non-market value of these practices by linking biophysical impact modes—such as phosphorus and sediment reduction and greenhouse gas mitigation—to economic valuation methods, primarily avoided cost and benefit transfer. The findings suggest that these BMPs provide significant public benefits that exceed their implementation costs, supporting the rationale for government funding of such practices to improve water quality and climate outcomes.

The paper argues that current irrigation subsidy estimates are inconsistent and lack transparency because they often ignore capital costs, opportunity costs, and environmental externalities. It proposes two primary measurement approaches: a 'net cost to government' method, which subtracts total revenues (including hydropower and fisheries) from gross costs (including depreciation and externalities), and a 'net benefit to recipient' method, which compares the water's economic value to the price paid. The author highlights that irrigation is a major global water consumer, often heavily subsidized, which discourages efficient water use and leads to environmental degradation such as salinization and groundwater depletion.

The document serves as a practical guide for Technical Research Institutes (TRIs) tasked with conducting the self-assessment phase of the African Peer Review Mechanism (APRM). It details the roles of TRIs, the challenges of using the 88-page APRM questionnaire, and the necessity of balancing technical objectivity with the political sensitivities of participating African governments. The handbook offers specific methodologies for gathering expert and public opinion, vetting desk research sources, and managing the logistical and political pressures of the process. It concludes by suggesting that TRIs expand their role beyond the initial report to monitor the implementation of Programmes of Action (PoA).

The document argues that traditional integrated resource planning (IRP) is too generation-centric and fails to account for the specific operational, financial, and grid-side benefits of distributed and renewable energy. It introduces the Energy Resource Investment Strategy (ERIS) methodology, which uses probabilistic load and fuel forecasting and portfolio theory to value these resources. Key technical discussions include the use of Effective Load Carrying Capability (ELCC) to measure reliability contributions, the role of geographical dispersion in reducing portfolio variability, and the financial advantages of modular, short-lead-time resources in mitigating the risk of overbuilding capacity.

The report provides a framework for China to move from the rhetoric of a circular economy (CE) to implementation by establishing a robust system of indicators. It argues that material flow analysis (MFA) is the most relevant tool for this purpose, as it allows for the monitoring of physical material and energy flows across macro, meso, and micro levels. The document details key MFA indicators—such as Direct Material Input (DMI) and Total Material Requirement (TMR)—and examines how the European Union, United States, and Japan have institutionalized these measures to track eco-efficiency and the decoupling of economic growth from environmental pressure. It concludes with recommendations for China to integrate CE indicators into national accounts and collaborate with international practitioners.

The document argues that scientists and engineers possess significant power to reshape the world and should take responsibility for planning its sustainable use. It introduces 'sustainability appraisal' as a methodology to assess the environmental, social, and economic impacts of activities, moving beyond traditional cost-benefit analysis to seek 'win-win-win' solutions. The author emphasizes that a revolution in design is necessary, targeting reductions in energy use by 90% and resource use by 80%. Practical examples of sustainable re-engineering are provided, such as the Interface Company's reduction of chemicals in floor coverings and a sustainable hanging basket project in West Yorkshire.

The paper argues that traditional project evaluation fails to capture the unique value of knowledge networks, which lies in relationships and collective influence rather than just individual deliverables. To address this, the author develops a three-part framework consisting of a planning process, quarterly progress journals for monitoring, and annual and final evaluations. This approach integrates elements from Outcome Mapping, Results Based Management, Logical Framework Analysis, and Human Resource performance evaluations. The framework distinguishes between 'network effectiveness' (doing the right thing) and 'network efficiency' (doing things right), using the Climate Change Knowledge Network as a practical example to demonstrate how to track behavioral changes in both network members and external stakeholders.

The document argues that existing poverty-environment initiatives by the World Bank and UNDP-EU treat the environment primarily as a commodity for income generation, neglecting critical life-supporting services. It proposes a new framework for UNEP based on 'elementary functionings' and 'safe minimum standards' (SMS) to protect non-market ecological services like water purification and air quality, which the poor depend on more heavily than the rich. The author introduces the PASIR (Pressure, Activity, State, Impact, Response) methodological framework and a five-stage road map to operationalize these concepts into national policy, emphasizing the need for participatory institutions and stewardship by the poor.

The document details a technical framework for climate impact assessments in British Columbia, focusing on the selection of General Circulation Models (GCMs) and the quantification of heat-related health and labour risks. It establishes a process for downscaling climate data to 111 population centres and applies exposure-response functions to estimate unexpected deaths, hospitalisations, and lost labour hours. The text also outlines several proactive adaptation scenarios—including increased air conditioning adoption, window shading, urban planning, and shifted work hours—and the economic metrics used to conduct cost-benefit analyses for these interventions.

The document provides a framework for governments to assess how climate policies affect national budgets, focusing on the production side of fossil fuels and infrastructure. It details a five-step methodology: establishing a base case, developing scenarios, assessing policy impacts, allocating value between consumers and producers, and splitting value between government and commercial entities. The report applies this to Russia, Kazakhstan, Azerbaijan, and Egypt, highlighting that oil assets are most sensitive to global demand shifts, while coal and gas are more influenced by regional dynamics and infrastructure. It recommends that governments reduce upfront capital commitments, adapt tax regimes, and diversify into low-carbon technologies to mitigate the risk of stranded assets.

The IRMF Results Handbook outlines the GCF's approach to results-based management, focusing on measuring paradigm shift, mitigation, adaptation, and enabling environments. It defines core and supplementary indicators, establishes reporting requirements via Annual Performance Reports (APRs) and evaluations, and provides a structured methodology for setting baselines and targets to ensure portfolio-wide data aggregation.

The GCF EFA Guidance outlines the methodologies for performing financial analysis (from an investor's perspective) and economic analysis (from a societal perspective) to support the assessment of GCF investment criteria. It provides sector-specific recommendations for areas such as transport, water security, energy efficiency, and agriculture, while detailing the required profitability indicators, baseline scenario development, and sensitivity analysis needed for project appraisal.

The document describes CRiSTAL (Community Risk Identification and Adaptation Tool), a framework developed by IUCN, IISD, SEI, and Intercooperation to analyze the links between climate threats, local livelihoods, and project activities. The tool uses a two-module process—Climate Context and Livelihoods, followed by Adaptation Planning and Management—to help project planners avoid maladaptation and enhance community resilience. It relies on a combination of scientific climate data and community consultations, with data managed via Microsoft Excel. Since its 2007 launch, it has been applied in over 20 countries, following initial field tests in Mali, Bangladesh, Tanzania, Nicaragua, and Sri Lanka.