Supplementary Materials to "A Data-driven Framework for Forest Conservation Prioritisation: From Citizen Science Data to Protected Area Designation"

General information This folder contains code, data, and figures related to the submitted manuscript "A Data-driven Framework for Forest Conservation Prioritisation: From Citizen Science Data to Protected Area Designation". Please note that this version of code and data may be updated again to address upcoming reviews. License Creative Commons Attribution 4.0 InternationalPlease note that the CAPTAIN modelling section of this work builds on Silvestro et al. (2022). When citing the CAPTAIN optimisation framework, please refer to this publication. Contact and Support Corresponding author: Katharina HornORCID: https://orcid.org/0009-0006-7971-3514 Affiliation: Technische Universität Berlin Funding This work was supported by the Federal Ministry for Economic Affairs and Energy (BMWE) the German Space Agency at DLR in the scope of the research project "OpenPrioBio – Early prioritization of areas to promote biodiversity by fusing multimodal earth observation data with open geodata and AI" [award number: 50EE2409A-C]. Daniele Silvestro received funding from ETH Zurich and the Swedish Foundation for Strategic Environmental Research MISTRA within the framework of the research programme BIOPATH (F 2022/1448). Acknowledgements We thank our project partners and colleagues at LANUK, LUP, DWD, and BfN for the support. We further thank Christoph Grüneberg and Prof. Hartmut Kenneweg for their ornithological expertise, and Maurice Hage for the processing of the agroclimatic indicators. Finally, we thank the German Space Agency at DLR for providing us with the access to the web platform "EO-Lab" to ease data access, data processing and modelling. Finally, we want to warmly thank the editors and reviewers for their constructive and helpful feedback.