Methodology Overview
The Ecosystem Integrity Index (EII) is a holistic metric designed to quantify the health of terrestrial ecosystems globally. Unlike simpler metrics that rely on a single proxy, EII synthesizes three fundamental dimensions of ecosystem integrity: Function, Structure, and Composition.
This implementation builds and expands directly on the conceptual framework developed by the UNEP-WCMC: Hill et al. (2022) The Ecosystem Integrity Index: a novel measure of terrestrial ecosystem integrity.
The Three Pillars of Integrity
Our framework defines ecosystem integrity through three distinct but interconnected pillars.
1. Functional Integrity
Does the ecosystem function at its full potential?
Functional Integrity assesses the energy capture and productivity of the ecosystem. In our implementation, this is calculated by measuring the deviation in Net Primary Productivity (NPP). Specifically, we compare the observed NPP against a modeled natural potential NPP for the given environmental conditions. A high score indicates that the ecosystem is functioning (photosynthesizing) at the level expected of a healthy, natural system.
2. Structural Integrity
Is the physical habitat intact and connected?
Structural Integrity evaluates the physical landscape configuration. It measures the degree of human modification (infrastructure, agriculture, urbanization) and the connectivity of natural habitats. High structural integrity means large, unfragmented areas of natural vegetation where ecological flows can occur unimpeded.
3. Compositional Integrity
Is the native biodiversity present?
Compositional Integrity measures the variety of life within the ecosystem. We utilize the Biodiversity Intactness Index (BII) to estimate how much of the original biotic community (species abundance and diversity) remains compared to a pristine baseline.
Aggregation Strategy
To produce the final EII score, these three components are combined using a Limiting Factor approach.
Instead of a simple average—which could mask a collapsed component (e.g., a highly productive monoculture has high function but low composition)—we use a logical framework where the final score is constrained by the lowest performing pillar. We further refine this with a fuzzy logic adjustment to account for the cumulative weight of degradation across multiple dimensions.
See Ecosystem Integrity Aggregation for the mathematical details.