The DOI matches its Crossref record; 35 of the 35 references it cites were found in a registry or an index.
COVID-19 pandemic and associated lockdown as a “Global Human Confinement Experiment” to investigate biodiversity conservation
Open accessAbstract
Efforts to curtail the spread of the novel coronavirus (SARS-CoV2) have led to the unprecedented concurrent confinement of nearly two-thirds of the global population. The large human lockdown and its eventual relaxation can be viewed as a Global Human Confinement Experiment. This experiment is a unique opportunity to identify positive and negative effects of human presence and mobility on a range of natural systems, including wildlife, and protected areas, and to study processes regulating biodiversity and ecosystems. We encourage ecologists, environmental scientists, and resource managers to contribute their observations to efforts aiming to build comprehensive global understanding based on multiple data streams, including anecdotal observations, systematic assessments and quantitative monitoring. We argue that the collective power of combining diverse data will transcend the limited value of the individual data sets and produce unexpected insights. We can also consider the confinement experiment as a “stress test” to evaluate the strengths and weaknesses in the adequacy of existing networks to detect human impacts on natural systems. Doing so will provide evidence for the value of the conservation strategies that are presently in place, and create future networks, observatories and policies that are more adept in protecting biological diversity across the world.
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Cites
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COVID-19 outbreak: Migration, effects on society, global environment and prevention
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Indirect effects of COVID-19 on the environment
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Cited by
Derryberry, E. P., Phillips, J. N., Derryberry, G. E., Blum, M. J., & Luther, D. (2020) · Science · doi:10.1126/science.abd5777 · Cited by 309
Chu, I. Y.-H., Alam, P., Larson, H. J., & Lin, L. (2020) · Journal of Travel Medicine · doi:10.1093/jtm/taaa192 · Cited by 247
A standardisation framework for bio‐logging data to advance ecological research and conservation
Sequeira, A. M. M., O'Toole, M., Keates, T. R., McDonnell, L. H., Braun, C. D., Hoenner, X., Jaine, F. R. A., Jonsen, I. D., Newman, P., Pye, J., et al. (2021) · Methods in Ecology and Evolution · doi:10.1111/2041-210x.13593 · Cited by 87
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Metadata
- Authors
- Bates, A. E., Primack, R. B., Moraga, P., & Duarte, C. M.
- Venue
- Biological Conservation
- Publisher
- Elsevier BV
- Published
- 2020-08
- Volume
- 248
- Pages
- 108665
- ISSN
- 0006-3207 (ISSN-L)
- OpenAlex
- W3033060249
- Cited by
- 265
- References
- 35
- FWCI
- 18.55
- Type
- journal article
- Language
- en
- Open access
- green
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.