RESOURCES FOR DOWNLOAD
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OUTPUT TYPE
NATURE FIRST: INTRO AND DEMO OF SOLUTIONS FOR BIODIVERSITY MONITORING
ONLINE SESSION
26 April 2023 11:00-15:00 CET
Download recordings and slides here!
NATURE FIRST: COLLABORATIVE TOOLS AND SERVICES
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.
Download the document here!
NATURE FIRST MEDIA KIT
Would you like to have some communication material about Nature FIRST?
Download our media kit here!
NATURE FIRST: PROJECT MANAGEMENT PLAN
The Project Management Plan is a comprehensive guide for consortium members, detailing operational procedures, roles, and quality assurance to ensure successful project implementation.
Download the deliverable here!
NATURE FIRST: TRAINING MANUALS
The project deliverable Training Manuals details internal as well as wildlife forensics training sessions that took place throughout the project.
Download the deliverable here!
NATURE FIRST: MATRIX OF TANGIBLE METHODS AND DATA SOURCES IN-USE
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.
Download the deliverable here!
NATURE FIRST: ECOSYSTEM BASEMAPS
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.
Download the deliverable here!