The DOI matches its Crossref record; 163 of the 163 references it cites were found in a registry or an index.
Drones for Conservation in Protected Areas: Present and Future
Open accessAbstract
Park managers call for cost-effective and innovative solutions to handle a wide variety of environmental problems that threaten biodiversity in protected areas. Recently, drones have been called upon to revolutionize conservation and hold great potential to evolve and raise better-informed decisions to assist management. Despite great expectations, the benefits that drones could bring to foster effectiveness remain fundamentally unexplored. To address this gap, we performed a literature review about the use of drones in conservation. We selected a total of 256 studies, of which 99 were carried out in protected areas. We classified the studies in five distinct areas of applications: “wildlife monitoring and management”; “ecosystem monitoring”; “law enforcement”; “ecotourism”; and “environmental management and disaster response”. We also identified specific gaps and challenges that would allow for the expansion of critical research or monitoring. Our results support the evidence that drones hold merits to serve conservation actions and reinforce effective management, but multidisciplinary research must resolve the operational and analytical shortcomings that undermine the prospects for drones integration in protected areas.
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Cited by
UAV remote sensing applications in marine monitoring: Knowledge visualization and review
Yang, Z., Yu, X., Dedman, S., Rosso, M., Zhu, J., Yang, J., Xia, Y., Tian, Y., Zhang, G., & Wang, J. (2022) · Science of The Total Environment · doi:10.1016/j.scitotenv.2022.155939 · Cited by 283
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SmallSats: a new technological frontier in ecology and conservation?
Curnick, D. J., Davies, A. J., Duncan, C., Freeman, R., Jacoby, D. M. P., Shelley, H. T. E., Rossi, C., Wearn, O. R., Williamson, M. J., & Pettorelli, N. (2022) · Remote Sensing in Ecology and Conservation · doi:10.1002/rse2.239 · Cited by 34
Metadata
- Authors
- Jiménez López, J., & Mulero-Pázmány, M.
- Venue
- Drones
- Publisher
- MDPI AG
- Published
- 2019-01-09
- Volume
- 3
- Issue
- 1
- Pages
- 10
- ISSN
- 2504-446X (ISSN-L)
- OpenAlex
- W2911010442
- Cited by
- 300
- References
- 163
- FWCI
- 21.22
- Type
- journal article
- Language
- en
- Open access
- gold
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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