Paradigms and Principles for Integrating Nature Technology Data: Challenges, Opportunities, and Next Steps in Real‐World Biodiversity Monitoring

Abstract

Employing a combination of nature technology data (NTD) from satellites, eDNA, camera traps, acoustic monitors, and GPS can augment traditional biodiversity measurements to help understand conservation status and outcomes. While previous works have integrated these data, there remains a significant gap between individual exploratory cases and replicable, scalable, and standardized approaches. Notably, there is no clear guidance or consensus on how NTD are best integrated in practice. To address this gap, 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 (metadata standards, use rights and licensing, scientific rigor, and utility) as the foundations of an actionable framework for NTD integration. We then analyze seven diverse, real‐world case studies across biomes, use cases, and user types to understand what paradigms are leveraged in practice, how prioritized principles have been implemented, and identify challenges, opportunities, and next steps. Distilling NTD integration into paradigms helped map the relationships between workflows, such as how low‐barrier‐to‐entry methods (like consilience) can lead to deeper integration (extrapolation or data fusion), and revealed that there are different purposes and tools needed even when sensor use is similar. The paradigms also helped elucidate key challenges (such as mismatches in scale and lack of data, reference libraries, and methodological guidance) and opportunities (increasing data resolution, systematizing guidance, and producing new repeatable tools). For prioritized principles, metadata standards and vehicles for sharing permissions and use rights could increase impact and reuse. We conclude that next steps, including new training resources, use of high‐resolution satellite data, increased multimodal field data collection, use of standardized repositories, and APIs that support integration, are needed to operationalize these paradigms and principles. These steps will provide a foundation for realizing the potential of integrated biodiversity monitoring to help guide conservation action.