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Abstract Drones have emerged as a cost‐effective solution to detect and map plant invasions, offering researchers and land managers flexibility in flight design, sensors and data collection schedules. A systematic review of trends in drone‐based image collection, data processing and analytical approaches is needed to advance the science of invasive species monitoring and management and improve scalability and replicability.We systematically reviewed studies using drones for plant invasion research to identify knowledge gaps, best practices and a path toward advancing the science of invasive plant monitoring and management. We devised a database of 33 standardized reporting parameters, coded each study to those parameters, calculated descriptive statistics and synthesized how these technologies are being implemented and used.Trends show a general increase in studies since 2009 with a bias toward temperate regions in North America and Europe. Most studies have focused on testing the validity of a machine learning or deep learning image classification technique with fewer studies focused on monitoring or modelling spread. Very few studies used drones for assessing ecosystem dynamics and impacts such as determining environmental drivers or tracking re‐emergence after disturbance. Overall, we noted a lack of standardized reporting on field survey design, flight design, drone systems, image processing and analyses, which hinders replicability and scalability of approaches. Based on these findings, we develop a standard framework for drone applications in invasive species monitoring to foster cross‐study comparability and reproducibility.We suggest several areas for advancing the use of drones in invasive plant studies including (1) utilizing standardized reporting frameworks to facilitate scientific research practices, (2) integrating drone data with satellite imagery to scale up relationships over larger areas, (3) using drones as an alternative to in‐person ground surveys and (4) leveraging drones to assess community trait shifts tied to plant fitness and reproduction.
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Harnessing the full potential of drones for fieldwork
Abstract Field-based research in the biological sciences encounters several challenges, including cost, accessibility, safety, and spatial coverage. Drones have emerged as a transformative technology to address these challenges while providing a less intrusive alternative to field surveys. Although drones have mainly been used for high-resolution image collection, their capabilities extend beyond mapping and image production. They can be tailored to track wildlife, measure environmental parameters, and collect physical samples, and their versatility enables researchers to tackle a variety of biodiversity and conservation challenges. In this article, we advocate for drones to be integrated more comprehensively into field-based research, from site reconnaissance to sampling, interventions, and monitoring. We discuss the future innovations needed to harness their full potential, including customized instrumentation, fit-for-purpose software and apps, and better integration with existing online databases. We also support leveraging community scientists and empowering citizens to contribute to scientific endeavors while promoting environmental stewardship via drones.
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- Award ID(s):
- 2416164
- PAR ID:
- 10573623
- Publisher / Repository:
- Oxford University Press
- Date Published:
- Journal Name:
- BioScience
- Volume:
- 75
- Issue:
- 5
- ISSN:
- 0006-3568
- Format(s):
- Medium: X Size: p. 379-387
- Size(s):
- p. 379-387
- Sponsoring Org:
- National Science Foundation
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