TECH SOLUTIONS

Nature landscape with digital overlay depicting a lush green forest, possibly a jungle, with superimposed squares and grids blending technology with the natural scene.

The urgency of addressing the decline in biodiversity requires innovative and proactive approaches, and a data-driven preventive strategy is crucial to the success of nature conservation efforts. Technology plays a pivotal role in achieving this goal, providing a suite of tools and methodologies to enhance our understanding of biodiversity loss, predict potential threats, and formulate effective conservation strategies. Nature FIRST offers a variety of tech solutions and tools developed to address the specific issues and needs of natural areas and biosphere reserves.

PROOF OF PRINCIPLE: FOUR RELATED TOOLS

Number one inside a teal circle on a transparent background.

ECOSYSTEM BASE MAPS

A tool to automatically create ecosystem base maps, including biotic, abiotic, natural and anthropogenic features.

This will significantly increase the quality of such maps, lower the costs of creating them drastically, and make comparisons across ecosystems much easier.

A white number two inside a teal circle on a black background.

MONITORING ECOSYSTEMS

A tool for automatic monitoring of ecosystems and evaluation of interventions. This will facilitate more continuous and proactive monitoring and alerting, needed to detect and address drivers behind biodiversity decline in an early stage.

Number 3 inside a teal circle on a white background.

DIGITAL TWIN MODELS

The modelled ecological and anthropogenic processes serve as the codified body of knowledge to contextualise and interpret environmental observations.

We will also use them to make data-driven prediction and support scenario simulations, thus building upon the latest state of knowledge to create new knowledge about biodiversity drivers and decline.

Number four in a blue circle on a white background

SEMANTICS-DRIVEN DATA METHODS AND TOOLS

These are needed to bridge taxonomic differences between data collections and organisations and prepare the various data sources for the three above-mentioned tools. To this end, we will apply the latest graph and semantic AI technologies.

Map showing NDVI data over Eastern European region with green color indicating vegetation health.
Topographic elevation map of a region in Eastern Europe, showing varying elevation levels with green, yellow, and red colors. Includes geographic locations like Satu Mare, Baia Mare, and Vynohradiv. Elevation key indicates levels from 500 to 2,000 meters.

ECOSYSTEM BASE MAPS

Ecosystem basemaps are automated representations of protected areas that provide information, organised in layers, about all characteristics of the area that can be collected and processed automatically. They thus include biotic, abiotic, natural and anthropogenic features, such as altitudes, gradients, soil types, groundwater levels, surface water, roads, built areas and points of interest, but also calculated layers such moisture and vegetation indexes, lidar-derived vegetation structure, distances to roads, water and built areas, and more.

MONITORING ECOSYSTEMS

We aim for continuous near real-time monitoring of ecosystems to provide actionable information. This is achieved by combining remote sensing images (satellite-based and on-site), with environmental forensics.

We step up from just mapping an area into near real-time monitoring it, and forecasting data. In this way, we get predictive information that can be used to prevent issues before they occur.

Map showing bear observation hotspots in a specific region with a heatmap and an image of a bear.
Digital illustration of a glowing plant with data charts and graphs, symbolizing technology and growth.

DIGITAL TWIN MODELS

The Nature FIRST project makes use of digital twins to create model-driven, continuous ecosystem monitoring beyond simple species counts. A digital twin is essentially a dynamic model of a real-world entity or system that is continuously updated in real-time, to mirror its physical counterpart. These digital twins serve as a means for learning, improving monitoring models, and translating environmental observations into actionable information for site managers and policymakers.

SEMANTIC-DRIVEN DATA METHODS AND TOOLS


Semantic-driven data methods and tools provide a framework for efficient data management and interpretation. These methods establish a unified language through taxonomies, ensuring a shared understanding of concepts. By employing crossovers and exact match relations, diverse data sources are seamlessly integrated into a graph format, facilitating comprehensive analysis and enabling real-time monitoring. This approach not only overcomes challenges in data engineering but also empowers researchers and conservationists to make informed decisions by extracting valuable insights from the interconnected web of information. The multilingual and adaptable nature of these tools, coupled with their ability to incorporate metadata and support cross-domain collaboration, positions them as crucial assets in the proactive and effective management of biodiversity, offering a powerful solution for addressing the complex challenges posed by biodiversity decline.

Mind map showing relationships between Natura 2000 Sites, habitats from different years (2021, 2017, 2012), EUNIS and RedList species categories, and Corine Land Cover with images and links.

OUR FIRST AREAS OF APPLICATION