The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Using open access observational data for conservation action: A case study for birds
Open accessAbstract
Ensuring that conservation decisions are informed by the best available data is a fundamental challenge in the face of rapid global environmental change. Too often, new science is not easily or quickly translated into conservation action. Traditional approaches to data collection and science delivery may be both inefficient and insufficient, as conservation practitioners need access to salient, credible, and legitimate data to take action. Open access data could serve as a tool to help bridge the gap between science and action, by providing conservation practitioners with access to relevant data in near real time. Broad-scale citizen-science data represent a fast-growing resource for open access databases, providing relevant and appropriately scaled data on organisms, much in the way autonomous sensors do so on the environment. Several such datasets are now broadly available, yet documentation of their application to conservation is rare. Here we use eBird, a project where individuals around the world submit data on bird distribution and abundance, as an example of how citizen-science data can be used to achieve tangible conservation science and action at local, regional, and global scales. Our examination illustrates how these data can be strategically applied to improve our understanding of spatial and temporal distributions of birds, the impacts of anthropogenic change on ecological systems, and creative conservation solutions to complex problems. We raise awareness of the types of conservation action now happening with citizen-science data, and discuss the benefits, limitations, and caveats of this approach.
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Citations
Cites
The biodiversity of species and their rates of extinction, distribution, and protection
Pimm, S. L., Jenkins, C. N., Abell, R., Brooks, T. M., Gittleman, J. L., Joppa, L. N., Raven, P. H., Roberts, C. M., & Sexton, J. O. (2014) · Science · doi:10.1126/science.1246752 · Cited by 3,542 · cited 1×
“Pimm et al. (2014) suggest that citizen-based observational data currently represent the fastest growth in our ability to understand species' distributions, providing substantial opportunities tomonitor a broad range of species over long time periods and broad spatial extents.”
BackgroundeBird: A citizen-based bird observation network in the biological sciences
Sullivan, B. L., Wood, C. L., Iliff, M. J., Bonney, R. E., Fink, D., & Kelling, S. (2009) · Biological Conservation · doi:10.1016/j.biocon.2009.05.006 · Cited by 2,017
Self-citationSunderland, T., Sunderland‐Groves, J., Shanley, P., & Campbell, B. (2009) · Biotropica · doi:10.1111/j.1744-7429.2009.00557.x · Cited by 172
Cited by
A framework for contextualizing social‐ecological biases in contributory science data
Carlen, E. J., Estien, C. O., Caspi, T., Perkins, D., Goldstein, B. R., Kreling, S. E. S., Hentati, Y., Williams, T. D., Stanton, L. A., Des Roches, S., et al. (2024) · People and Nature · doi:10.1002/pan3.10592 · Cited by 57
Metadata
- Authors
- Sullivan, B. L., Phillips, T., Dayer, A. A., Wood, C. L., Farnsworth, A., Iliff, M. J., Davies, I. J., Wiggins, A., Fink, D., Hochachka, W. M., Rodewald, A. D., Rosenberg, K. V., Bonney, R., & Kelling, S.
- Venue
- Biological Conservation
- Publisher
- Elsevier BV
- Published
- 2017-04
- Volume
- 208
- Pages
- 5-14
- ISSN
- 0006-3207 (ISSN-L)
- OpenAlex
- W2403883012
- Cited by
- 182
- References
- 3
- FWCI
- 16.75
- Type
- journal article
- Language
- en
- Open access
- hybrid
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- Sullivan, B. L., Phillips, T., Dayer, A. A., Wood, C. L., Farnsworth, A., Iliff, M. J., Davies, I. J., Wiggins, A., Fink, D., Hochachka, W. M., Rodewald, A. D., Rosenberg, K. V., Bonney, R., & Kelling, S. (2017). Using open access observational data for conservation action: A case study for birds. Biological Conservation. https://doi.org/10.1016/j.biocon.2016.04.031
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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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