The Modelling a Path to More Sustainable Landscapes project is a three-year effort to spatially analyze the baseline risk of commodity production and the role of sustainability policies to mitigate those risks. This document is for people interested in increasing the value and integrity of data and in assessing the potential impacts of policy decisions in terms of agriculture production and environmental outcomes.

The Modelling a Path to More Sustainable Landscapes project is a three-year effort to spatially analyse the baseline risk of commodity production and the role of sustainability policies to mitigate those risks. This document is for people interested in increasing the value and integrity of data and in assessing the potential impacts of policy decisions in terms of agriculture production and environmental outcomes.

The Modelling a Path to More Sustainable Landscapes project is a three-year effort to spatially analyse the baseline risk of commodity production and the role of sustainability policies to mitigate those risks.  This document is for people interested in increasing the value and integrity of data and in assessing the potential impacts of policy decisions in terms of agriculture production and environmental outcomes.

Improving the livelihoods, wellbeing and sustainable production practices of small-scale producers requires effective methods to engage with and connect these producers and other stakeholders – which can be a challenge in complex global supply chains. This case study looks at some innovative ways sustainability systems and their partners are approaching this topic, in projects supported by the ISEAL Innovations Fund.

The context in which sustainability systems operate significantly influences the scale, depth and durability of their impacts. This is an important consideration when designing new strategies to improve sustainability performance. To provide support in this area, we have developed the following resources:

This is a conceptual framework which outlines the justification and process for the development of the ISEAL Common Core Indicators. This work began as part of ISEAL's Developing and Improving Poverty Impacts project (DIPI).

Use this template to complete your Compliance Checklist for the ISEAL Assurance Code of Good Practice Version 2.0

Use this template to complete your Compliance Checklist for the ISEAL Standard-Setting Code of Good Practice Version 6.0

Use this template to complete your Compliance Checklist for the ISEAL Impacts Code of Good Practice Version 2.0

ISEAL Board and Committee members and ISEAL staff should conduct themselves at all times in accordance with good professional judgement for the benefit of ISEAL and in such manner as to not create a conflict of interest or appearance of such conflict.

ISEAL has revised its Chain of Custody (CoC) Models and Definitions Guidance to improve clarity and consistency for stakeholders across sectors, reflecting major shifts in supply chain management. The updated guidance is intended to address new regulatory demands (e.g., EUDR, CSRD), technological advancements like blockchain, and the inclusion of additional CoC models such as Controlled Blending and Controlled Mass Balance.

This ISEAL Guidance seeks to capture some of the core elements and good practices that are emerging as a result of this innovation.

The power of landscape initiatives lies in aligning interests and priorities of key stakeholders, including local communities, practitioners, market actors, and local governments around collective goals, actions, and investment so that they are better able to finance and address the system conditions needed to achieve long-term sustainability impacts at a landscape scale.

Credibility-Principles_V1.2 in Chinese ISEAL 11-2020

A showcase of applied, data-driven solutions within the ISEAL Community.

This document summarises the approach ASC, SFP and SFW took to data sharing throughout the Integration of seafood certification and jurisdictional assurance models project in March 2022. It explores data collected at different scales, and how this data can be created, shared and used by the project partners. 

Aquaculture improvement projects (AIPs) have recently emerged as a new form of market-based and non-state governance in the aquaculture sector (Bottema, 2019). They embody multi-stakeholder efforts that leverage the influence of the private sector to drive improvements in aquaculture production and ensure that these changes endure through improved policy and management strategies (Sustainable Fisheries Partnership (SFP), 2019).

This document presents the details and outcomes of the consultative events carried out in the development of the Delta Framework.

This is a set of 6 documents comprising guidance and tools for the Women’s Empowerment indicator, for smallholder and large farm contexts.

This document is an additional guidance to collect data points for sub-indicators #3b Irrigation Efficiency and #3c Water Productivity.

This reference document presents a non-exhaustive list of all the HHPs used in coffee and cotton production globally. It has been compiled based on the information available with the Delta Project Team at the time of the finalization of the framework (June 2022).