This Nature FIRST deliverable outlines the fourth and final milestone in the development and presentation of digital twins under the Nature FIRST project. It details progress on digital twin models for crane migration, sturgeon behaviour, and human-bear conflict forecasting. Additionally, it summarises dissemination efforts, including conference presentations, media coverage, and peer-reviewed publications, showcasing the impact and future potential of these digital tools in ecological research and conservation.

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This Nature FIRST deliverable identifies and addresses key conservation challenges, including habitat and species monitoring, human-nature interactions, and human-wildlife conflicts. These challenges, derived from WP3 analyses and workshops, inform the development of proactive methods and technologies in WP4, which will be implemented in WP5 to improve conservation management in protected areas. This document also includes the milestone List of known criteria and challenges. The deliverable will be updated in April 2024 to refine challenges and solutions based on ongoing project insights.

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A NATURE FIRST deliverable written by by Dr. Jan-Kees Schakel from Sensing Clues.

MEL systems in the nature conservation arena are siloed and hampered by data sharing and data muddling processes that are lengthy, knowledge intensive, labour-intensive, error-prone and costly. This frustrates collaboration, innovation, and ultimately conservation. In this paper a new paradigm on MEL is presented that supports nature conservation in multi-stakeholder landscapes.

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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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