A new article by Nature FIRST partners, published in Carnivore Damage Prevention News, introduces the Human–Bear Conflict Radar, a digital twin tool for managing and forecasting human–wildlife conflict in near real-time. The article outlines its development, current use by scientists and rangers, and future prospects including wider community involvement and expansion to other species and regions.

This document provides an overview of the tools developed by Nature FIRST to enhance the conservation of species and habitats in real-world situations. Six of these tools, including the Bear Human-Wildlife-Conflict Radar, have been successfully implemented by our consortium partners, while four additional concepts are currently under development. 

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Koen de Koning, Jeroen Broekhuijsen, Ingolf Kühn, Otso Ovaskainen Franziska Taubert, Dag Endresen, Dmitry Schigel, and Volker Grimm

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The Project Management Plan is a comprehensive guide for consortium members, detailing operational procedures, roles, and quality assurance to ensure successful project implementation.

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The project deliverable Training Manuals details internal as well as wildlife forensics training sessions that took place throughout the project.

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This project deliverable provides a comprehensive baseline assessment of conservation objectives, activities, and evaluation methods at the project field sites. It identifies current practices, gaps, and challenges to act as a starting point for the solutions offered. It includes a detailed methodology, a matrix in spreadsheet form, and an interview guide for data collection.

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The "Four Ecosystem Basemaps" deliverable details methods for biodiversity assessment and monitoring in conservation areas. It includes two main methods: the Ecosystem Basemaps, which provide essential environmental input data for creating Digital Twins, risk and suitability maps, and habitat maps; and the Habitat Mapping Model, which uses Earth Observation technologies and machine learning to semi-automatically identify and map habitats of community interest. The document also includes 26 datasets to support these methods.

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