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Questions about Forest Landscape Integrity Index

Short answers, pulled from the story.

What is the Forest Landscape Integrity Index and how does it measure forest condition?

The Forest Landscape Integrity Index measures how much human activity has altered forest ecosystems by treating integrity as the opposite of cumulative modification across a landscape. It generates a continuous score from 0 to 10 for each 300-meter pixel using mapped pressures, modeled indirect effects, and changes in connectivity.

When was the global map for the Forest Landscape Integrity Index released and what percentage of forests had high integrity?

In the study's global map for early 2019, 40.5 percent of forest area was classified as high integrity covering about 17.4 million square kilometers across the planet. The index uses data from 2000 to establish a stable baseline while subtracting tree-cover loss from 2001 to 2018.

Which countries have the highest proportion of high-integrity forests according to the Forest Landscape Integrity Index?

High-integrity forests were concentrated in boreal regions of Russia and Canada which together contained about half of the global high-integrity forest area. Nations such as Canada and Russia dominate the upper rankings with vast boreal reserves compared to countries like Brazil and Indonesia that appear lower on the list.

How does the Forest Landscape Integrity Index relate to international conservation frameworks and biodiversity targets?

The Forest Landscape Integrity Index is referenced under Target 2 of the Kunming-Montreal Global Biodiversity Framework for monitoring ecological integrity. It serves as an indicator for tracking progress toward global goals in the 2023 Forest Declaration Assessment and helps identify forests qualifying for funding through High Integrity Forest methodology.

What are the limitations of the Forest Landscape Integrity Index regarding historical data and climate impacts?

Forest modification prior to the year 2000 may not be reflected in the underlying global datasets used for calculation because some pressures are difficult to map consistently at a global scale. Climate change impacts and invasive species remain outside the current model scope while finer-scale infrastructure often escapes detection.