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Paradigms and Principles for Integrating Nature Technologies in Biodiversity Monitoring
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Abstract
Employing a combination of nature technologies such as satellite data, eDNA, camera traps, passive acoustic sensors, and GPS monitors can augment traditional biodiversity measurements to help respond to increasing demand for understanding conservation status and outcomes. However, there is no clear guidance or consensus on how nature technologies are best integrated. We aim to provide a robust framework for how nature technologies are being integrated, and present how this enhances understanding at the multiple scales required for growing nature-positive programs. We propose a set of paradigms (survey design, tip-and-cue, validation, consilience, interpolation and extrapolation, and data fusion) and prioritize a set of principles for nature data integration (metadata standards, use rights and licensing, scientific rigor, and utility). We then analyze a diverse set of seven real-world case studies to understand what paradigms are leveraged in practice and how prioritized principles have been implemented. Our case studies applied paradigms with varying frequency (consilience was most common, and tip-and-cue least common), with many applying multiple paradigms in sequence (such as consilience followed by data fusion). We found strong operationalization of several of our prioritized principles, such as licensing and use-rights. We conclude that integrated nature technologies will depend not only on technological advances, but on a collective commitment to refine and build upon paradigms and principles for integration. We provide a foundation for realizing the potential of integrated biodiversity monitoring to help guide future research and conservation action.
DOI
https://doi.org/10.32942/X2C36B
Subjects
Biodiversity
Keywords
Nature technology, biodiversity, satellite data, eDNA, camera traps, passive acoustic sensors, GPS tags, Data Fusion
Dates
Published: 2025-11-13 14:22
Last Updated: 2025-11-13 14:22
License
CC-BY Attribution-No Derivatives 4.0 International
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Conflict of interest statement:
We note that co-authors are affiliated with a variety of institutions that build, use, review, or sell nature technology and its derivative products.
Data and Code Availability Statement:
All work information associated with the conceptual development of the paradigms and principles can be found in the manuscript or supplementary material of this work. Information on the data availability for the case studies is below Alto Mayo case study: Final report, containing open data https://cdn.sanity.io/media-libraries/mlmEWUxEY7eQ/files/3272c4f1c33fb841032cf42f2954b68764fa26f5.pdf?sfvrsn=e66add1e_3 BDFFP case study: The metadata associated with acoustic and camera trap detections (in Darwin Core format), as well as the preprint of the corresponding scientific paper, can be accessed here https://dashboard.wildmon.ai/project/bdffp Gulf of California case study: The raw genetic sequences can be found in GenBank: https://www.ncbi.nlm.nih.gov/sra/PRJNA1260186. All the files and codes related to the original study can be found at: https://doi.org/10.5281/zenodo.16540403 Osa case study: Data and code from “Integrating high-resolution remote sensing and empirical wildlife detection data for climate-resilient corridors across tropical elevational gradients”: https://zenodo.org/records/11122373. Data and code for “Mapping climate adaptation corridors for biodiversity—A regional-scale case study in Central America”: https://zenodo.org/records/11150568. Landcover maps from “Increasing Forest Cover and Connectivity Both Inside and Outside of Protected Areas in Southwestern Costa Rica”: https://figshare.com/articles/dataset/Osa_Peninsula_LULC_Maps_1987_1998_2019/19337912?file=34343183 Western Ghats case study: Code and analyses necessary to reproduce this study: https://github.com/vjjan91/acoustics-Restoration ZWW Case Study: Code necessary to reproduce this study is adapted from Prof Elie Gurarie (University of Maryland), “Working with Movement and Spatial Data in R”: https://terpconnect.umd.edu/~egurarie/research/NWT/Step06_RSF_PartI.html
Language:
English
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