Methodology
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. All calculations were conducted in Google Earth Engine.
Data description
For forest extent they derived a map from 2019 by substracting from the Global Tree Cover annual from Tree Cover Loss 2001-2018. They applied a canopy threshold of 20% based on related studies and resampled to 300 m resolution. They quantify observed human pressures (P) within a pixel as the weighted sum of impact of infrastructure (I; representing the combined effect of 41 types of infrastructure weighted by their estimated general relative impact on forests, agriculture (A) weighted by crop
intensity (indicated by irrigation levels), and recent deforestation over the past 18
years.
intensity (indicated by irrigation levels), and recent deforestation over the past 18
years.
Indicator
Biodiversity adjusted hectare years (BAHY) - Aquatic eutrophication
Method / tool
Stepwise 2006