Biodiversity In Real Estate: What 'Good' looks like for Retail Buildings in the United States

For commercial real estate teams, a "good" biodiversity benchmark for a US retail building means achieving a Natural Cover score above 53.5%, an MSA Land Use score above 0.56, and a Protected Area Sensitivity Index (PASI) below 0.077 in the asset's immediate vicinity. Derived from location-based performance data compiled by Aura, these top 25% thresholds offer asset managers a concrete, data-driven baseline to satisfy nature-related questions in investor due diligence questionnaires (DDQs).

In the retail sector, achieving "good" biodiversity performance requires balancing consumer-facing infrastructure, footprint layouts, and surface parking areas with sensitive ecosystem management. High-performing retail assets minimize operational impacts on nearby ecological systems, mitigate localized heat island effects, and protect natural buffers to enhance both asset resilience and the community experience.

Defining "Good" Through Key Biodiversity Metrics

To understand what "good" looks like for a US retail building, we look at four core metrics. A high-performing asset typically falls within the top 25% of the retail asset class across these indicators.

1. Natural Cover (Top 25% Benchmark: >53.5%)

Natural cover represents the share of land within a 500m radius of a property that is green or natural rather than paved or artificial surfaces. While retail locations and shopping centers frequently require substantial parking infrastructure, top-performing US retail sites maintain a natural cover score above 53.5% in their immediate vicinity, placing them in the highest tier for surrounding habitat support.

Data Source: Based on the European Space Agency's dataset.

2. MSA Land Use (Top 25% Benchmark: >0.563)

Mean Species Abundance (MSA) serves as a proxy for ecosystem condition or ecological intactness. It measures how close the surrounding environment is to a natural state. For retail assets, an MSA Land Use score above 0.563 indicates that the surrounding environment retains strong ecological integrity despite commercial development.

Data Source: Combines European Space Agency data on land cover with the Globio model.

3. Biodiversity Sensitivity Exposure (Top 25% Benchmark: PASI <0.077)

The Protected Area Sensitivity Index (PASI) measures a building's proximity and exposure to protected or environmentally sensitive lands, weighting both the size of the protected area and its distance from the site.

  • What this means for you: A lower score is better. Retail assets with a sensitive area proximity index below 0.077 are safely buffered from sensitive ecosystems. This signals lower operational risk, fewer nature-related development constraints, and streamlined compliance with changing local zoning or environmental regulations.

Data Source: WDPA Protected Areas.

4. Threatened Species Total (Top 25% Benchmark: 0)

This metric tracks the nearby presence of species classified as threatened or at risk. It aggregates verified observations of Critically Endangered, Endangered, or Vulnerable species reported within a 1km radius of the property over the last 10 years. For high-performing US retail sites, the benchmark for "good" is 0, indicating a clean record of direct interface with at-risk species.

Data Source: Global Biodiversity Information Facility (GBIF).

US Retail Asset Class Benchmarks

The following table outlines the median and top-performing (Top 25%) benchmarks for US retail buildings, derived from Aura's comprehensive retail dataset.

Metric Asset Class Median Top 25% (High Performance) Data Source
Natural Cover 36.7% > 53.5% European Space Agency
MSA Land Use 0.401 > 0.563 Globio Model
Sensitivity Index (PASI) 0.400 < 0.077 WDPA Protected Areas
Threatened Species Total 2.00 0.00 GBIF

Source: Aura US Retail Benchmark Dataset

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How to Report This in a DDQ

When responding to investor DDQs, nature-related disclosures, or sustainability reporting requests, use these asset class benchmarks to provide clear context:

  • Contextualize with Percentiles: Rather than sharing abstract raw numbers, report that your retail asset "sits in the top 25% of the US retail asset class for ecological intactness and ecosystem condition."
  • Demonstrate Low Environmental Risk: Leverage a low biodiversity sensitivity exposure score to explicitly prove that your shopping center or retail asset is located away from sensitive environmental zones, reducing future regulatory risk.
  • Support Framework Alignment: This location-backed quantitative evidence directly feeds into the "Locate" and "Evaluate" phases of the TNFD LEAP process, satisfying the data-driven responses today's investors look for.

Check whether your own asset shares these operational strengths. Search any address to benchmark your site instantly using the tool on this page.

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