Archived resources
Last updated
Was this helpful?
Last updated
Was this helpful?
This section includes older resources that may still be useful for reference but are no longer actively maintained.
Last updated: October 2021
The LandScale assessment framework—developed through two years of field testing and extensive consultation—provides a common language for assessing landscape sustainability. The most up-to-date version (1.1) is available in the .
The version below, along with the translated copies, does not reflect the updated indicator and metric categorizations introduced in the 2025 refresh. However, it can be cross-referenced with version 1.1.
Last updated: October 2021
This resource was developed to help multi-stakeholder groups at any stage of their development report their activities and progress in a structured manner based on five critical elements of integrated landscape management.
Last updated: November 2021
This resource was developed to guide the assessment team through the process of building a stakeholder engagement plan for the full scope of the assessment and includes a template for doing so. This process now takes place directly on the platform instead.
Last updated: August 2022
This resource is a repository for metric assessment and visualizations, providing recommendations and guidance.
Last updated: August 2022
This resource was developed to help assessment teams summarize the most important details of their landscape assessment in an engaging and easy-to-understand way for report sharing.
Last updated: October 2021
Last updated: October 2021
This resource builds on the Forest Landscapes Restoration (FLR) typology to generalize and expand it, addressing the full set of ecosystem types and restoration situations that may be encountered in a LandScale assessment. More up-to-date information is available via .
This resource contains the IUCN typology that can be used to standardize ecosystem classification and includes a crosswalk between that typology and the World Ecosystems Map, which LandScale recommends as the default data for relevant metrics. More up-to-date information is available via .