What is the land useMSA compositionMSA modelMSA regeneration targets

What is the Land Use & Why is so important for Biodiversity Assessment?

Land use refers to how land is managed (e.g. farming, cities, forests). It's crucial for biodiversity: intensive changes reduce natural habitats and lower the MSA (Mean Species Abundance), threatening species and ecosystems. A key metric for sustainability.

Here's what land use is and why it matters

Video that explains what the Land Use MSA KPI is and why it is important for biodiversity assessment.

Today we talk about MSA Land Use KPI. MSA stands for Mean Species Abundance, and this indicator shows how human activities affected natural ecosystems by assessing the abundance of species, comparing it to the natural state. The source for this kpi is Globio Model, developed by the PBL Netherlands Environmental Assessment Agency and you can find this metric in the "State of Biodiversity" section on the XNatura platform. This indicator is key across sectors like agriculture, renewable energies, urban planning and infrastructure. For example, if an infrastructure project causes excessive habitat fragmentation, it can significantly decrease the MSA, which may impact project approval from local authorities. Follow us to discover more metrics and how they can help your business environmental strategy.

How is the MSA built?

Video that explains how the Mean Species Abundance (MSA) is composed and its main impact drivers.

Mean Species Abundance (MSA) is a key indicator for assessing the state of biodiversity in an ecosystem, and is influenced by four main impact drivers: MSA Land Use, MSA Climate Change, MSA Infrastructure, and MSA LBA (Land-use Based Abatement). Each of these factors contributes to determining how far the average abundance of species in a habitat deviates from natural reference conditions. Analyzing them separately allows for a better understanding of the causes of ecological degradation and the planning of targeted interventions.

The platform allows not only to distinguish these individual drivers, but also to visualize them spatially through a GIS map. This tool allows for the precise identification of hotspots and priority areas for intervention, facilitating more effective and site-specific regeneration strategies. In this way, businesses and governments can make informed and evidence-based decisions to protect and enhance biodiversity.

Is the MSA a physical model or an AI model?

Video that explains whether the Mean Species Abundance (MSA) is a physical model or an AI model.

XNatura enables the assessment of Mean Species Abundance (MSA) through two complementary approaches. The first is a physical model, based on Globio, that uses land use data to estimate the impact of human activities on biodiversity. This scientifically validated model provides a reliable analysis of the ecological status of an area based on changes in land cover.

In parallel, XNatura has developed a proprietary algorithm that estimates MSA directly from satellite imagery, without requiring prior knowledge of land use. This approach makes it globally scalable, even in areas where spatial data are sparse or absent, allowing rapid, continuous, high-resolution assessment of biodiversity.

How can I use the MSA to set regeneration targets?

Image that illustrates the Land Use MSA regeneration targets.

XNatura allows you to set strategic biodiversity targets by projecting average species abundance (MSA) into future scenarios aligned with international frameworks and EU directives. You can choose from four ready-made targets and monitor progress directly on the platform:

  • Match your neighbor - a benchmarking approach that allows you to align your environmental performance with that of peer companies in your sector or region.
  • Restoring 30 percent of lost MSA - a concrete regeneration goal that pushes the company to offset some of its impact.
  • 50-point MSA goal - aims to protect 50 percent of the company's land, keeping it in a natural or semi-natural state.
  • 100-point MSA goal - the highest level of ambition: to fully regenerate the damage caused by the company's activities, restoring the habitat to its original natural state.

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XNatura focuses on the digitalization of nature, integrating artificial intelligence, IoT sensors, satellite technologies, and cloud computing. The goal is to collect, process, and analyze environmental data to support companies, public entities, and natural parks in monitoring and managing risks and impacts on nature, biodiversity, and climate change.

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