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Forest Landscape Integrity Index (FLII)

Data source provider

UN Biodiversity Lab (UNBL)

Use cases

Exposure quantification, Financial stability monitoring, Scenario analysis

Data group

Biodiversity and forestry indicators

Metric Type

Physical vulnerability

Methodology/ Standard / Classification/ Taxonomy / Reference

TNFD (The LEAP Approach)

Unit (e.g. CO2)

square kilometre

Dimension (e.g. Sector, Customer)

By Country

Time horizon 

Backward-Looking

Frequency

Upon Update

Time series

2019

Accessibility

Public

Observation on data availability/gaps

UNBL is a free, open-source environment that does not require any previous GIS experience. Data can be accessed through the Map view and selecting the Layer "Forest Landscape Integrity Index (FLII)". To produce the Forest Landscape Integrity Index (FLII), four data sets were combined representing: (i) forest extent; (ii) ‘observed’ pressure from high impact, localized human activities for which spatial datasets exist, specifically: infrastructure, agriculture, and recent deforestation; (iii) ‘inferred’ pressure associated with edge effects, and other diffuse processes, (e.g. activities such as hunting and selective logging) modelled using proximity to observed pressures; and iv) anthropogenic changes in forest connectivity due to forest loss. These datasets were combined to produce an index score for each forest pixel (300m), with the highest scores reflecting the highest forest integrity, and applied to forest extent for the start of 2019. Sourced from Wildlife Conservation Society

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