Developed in consultation with Indigenous Peoples, this document contains voluntary guidelines for the conduct of cultural, environmental and social impact assessments regarding developments proposed to take place on, or which are likely to impact on, sacred sites and on lands and waters traditionally occupied or used by indigenous and local communities.

The TNFD risk and opportunity registers outline different categories of nature related risks and opportunities, indicate useful information to record for each risk and opportunity identified and provide connections to other categories of metrics and prioritisation criteria outlined in the TNFD LEAP approach. The TNFD risk and opportunity registers provide a template that can be completed by an organisation as they work through the Assess phase.

This guide was developed to support businesses and financial institutions to develop nature strategies, and contribute to nature positive. The guide follows four, high-level business actions outlined in ACT-D: Assess, Commit, Transform and Disclose.

The Corporate Sustainability Reporting Directive (CSRD) introduces phased sustainability reporting for entities from 2025, using European Sustainability Reporting Standards (ESRS). Key requirements include double materiality assessments, mandatory disclosure in management reports, assurance processes, and compliance roadmaps. Businesses must integrate financial and sustainability reporting to align with evolving EU regulations.

The 2024 Australian Sustainability Reporting Standards (ASRS) mandates phased sustainability reporting, starting in 2026. It introduces mandatory climate-related disclosures (AASB S2) alongside voluntary general sustainability disclosures (AASB S1). Key preparatory steps include materiality assessments, gap analysis, and compliance roadmaps, with assurance transitioning from limited to reasonable by 2030.

The New Zealand Climate Standards (NZCS) Toolkit, based on guidance from the External Reporting Board (XRB), supports entities in adopting climate-related disclosure standards. It provides a question directory, principles, and a glossary to facilitate compliance. Emphasising judgement over a checklist approach, it aims to prepare stakeholders for effective climate reporting.

The report examines variations in naming and classifying sustainability topics across 33 global frameworks. These inconsistencies hinder effective impact management and interoperability, limiting holistic understanding. Recommendations include enhancing conceptual coherence, fostering collaboration across frameworks, and improving clarity on emerging topics to support sustainable practices and policy alignment.

The framework seeks to create a shared understanding and common language for investors on target setting, while steering private financial flows in alignment with the mission of the Global Biodiversity Framework to halt and reverse biodiversity loss by 2030. It focuses on listed equity and corporate bonds.

The technical guideline outlines a methodology for how companies and investors can profile nature-related risks arising from dependencies and impacts of economic activities by combining nature data with data on the locations of companies' activities.

This supplement provides financial institutions with a framework for integrating natural capital considerations into their decision-making processes. It offers practical guidance on assessing and valuing natural capital dependencies and impacts, helping institutions manage risks and identify opportunities related to natural capital. It includes methodologies for incorporating natural capital into investment analysis, lending, and insurance underwriting, ultimately promoting sustainable finance practices.

This guide outlines a variety of tools and methodologies designed to help companies integrate natural capital considerations into their business decision-making processes. It provides detailed descriptions of different tools, case studies, and practical examples, enabling businesses to assess their environmental impacts, dependencies, and opportunities. The guide aims to promote sustainable business practices by highlighting the importance of valuing natural capital.

This guide supports investors in integrating nature and climate considerations into investment strategies. It offers insights and frameworks for addressing the interconnected challenges of climate change and biodiversity loss, promoting holistic and sustainable investment approaches.

This document provides guidance for organisations when identifying their nature-related dependencies, impacts, risks and opportunities. It outlines the foundation of international standards, guidelines and frameworks, in particular the UN Guiding Principles on Business and Human Rights. The guidance document's key focus areas include guidance for meaningful engagement with Indigenous Peoples, Local Communitas (IPLC) & affected stakeholders, preparation for engagement, and incorporate of engagement into action.

This publication provides investors with insights from pilot projects supporting the TNFD framework. It highlights best practices and lessons learned for integrating nature-related financial disclosures into investment strategies, enhancing transparency and sustainability. It outlines the valuable insights gained and significant findings obtained from a global pilot project initiated by UNEP FI in conjunction with 20 financial institutions.

This document provides guidance for organisations who choose to use scenario analysis to explore the possible consequences of nature loss and climate change, the ways in which governments, markets and society might respond, and the implications of these uncertainties for business strategy and financial planning. It includes a collection of practical tools, templates and techniques, in addition to general guidance. This guidance supports organisations in conducting a qualitative scenario workshop, focusing the exercise on testing, refining and stretching their thinking, planning and decision-making.

The report explores how artificial intelligence (AI) and machine learning (ML) can address challenges in global pension systems. It highlights AI's potential to enhance governance, personalisation, fraud prevention, and investment strategies while emphasising ethical implementation and data privacy considerations to optimise retirement outcomes and ensure system sustainability.