The DOI matches its Crossref record; 144 of the 144 references it cites were found in a registry or an index.
Globally Consistent Quantitative Observations of Planktonic Ecosystems
Open accessAbstract
In this paper we review on the technologies available to make globally quantitative observations of particles, in general, and plankton, in particular, in the world oceans, and for sizes varying from sub-micron to centimeters. Some of these technologies have been available for years while others have only recently emerged. Use of these technologies is critical to improve understanding of the processes that control abundances, distributions and composition of plankton, provide data necessary to constrain and improve ecosystem and biogeochemical models, and forecast changes in marine ecosystems in light of climate change. In this paper we begin by providing the motivation for plankton observations, quantification and diversity qualification on a global scale. We then expand on the state-of-the-art, detailing a variety of relevant and (mostly) mature technologies and measurements, including bulk measurements of plankton, pigment composition, uses of genomic, optical, acoustical methods and analysis using particles counters, flow cytometers and quantitative imaging devices. We follow by highlighting the requirements necessary for a plankton observing system, the approach to achieve it and associated challenges. We conclude with ranked action-item recommendations for the next ten years to move towards our vision of a holistic ocean-wide plankton observing system. Particularly, we suggest to begin with a demonstration project on a GO-SHIP line and/or a long-term observation site and expand from there ensuring that issues associated with methods, observation tools, data analysis, quality assessment and curation are addressed early in the implementation. Global coordination is key for the success of this vision and will bring new insights on processes associated with nutrient regeneration, ocean production, fisheries, and carbon sequestration.
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The FAIR Guiding Principles for scientific data management and stewardship
Wilkinson, M. D., Dumontier, M., Aalbersberg, I. J., Appleton, G., Axton, M., Baak, A., Blomberg, N., Boiten, J.-W., da Silva Santos, L. B., Bourne, P. E., et al. (2016) · Scientific Data · doi:10.1038/sdata.2016.18 · Cited by 18,423
Environmental DNA metabarcoding: Transforming how we survey animal and plant communities
Deiner, K., Bik, H. M., Mächler, E., Seymour, M., Lacoursière‐Roussel, A., Altermatt, F., Creer, S., Bista, I., Lodge, D. M., de Vere, N., et al. (2017) · Molecular Ecology · doi:10.1111/mec.14350 · Cited by 1,918
Multiple stressors of ocean ecosystems in the 21st century: projections with CMIP5 models
Bopp, L., Resplandy, L., Orr, J. C., Doney, S. C., Dunne, J. P., Gehlen, M., Halloran, P., Heinze, C., Ilyina, T., Séférian, R., et al. (2013) · Biogeosciences · doi:10.5194/bg-10-6225-2013 · Cited by 1,649
The Oxford Nanopore MinION: delivery of nanopore sequencing to the genomics community
Jain, M., Olsen, H. E., Paten, B., & Akeson, M. (2016) · Genome Biology · doi:10.1186/s13059-016-1103-0 · Cited by 1,588
Mackey, M., Mackey, D., Higgins, H., & Wright, S. (1996) · Marine Ecology Progress Series · doi:10.3354/meps144265 · Cited by 1,465
Global phytoplankton decline over the past century
Boyce, D. G., Lewis, M. R., & Worm, B. (2010) · Nature · doi:10.1038/nature09268 · Cited by 1,363
(2000) · CrossRef Listing of Deleted DOIs · doi:10.1016/s0967-0653(97)89288-5 · Cited by 1,257
Determinants of community structure in the global plankton interactome
Lima-Mendez, G., Faust, K., Henry, N., Decelle, J., Colin, S., Carcillo, F., Chaffron, S., Ignacio-Espinosa, J. C., Roux, S., Vincent, F., et al. (2015) · Science · doi:10.1126/science.1262073 · Cited by 983
Self-citationUitz, J., Claustre, H., Morel, A., & Hooker, S. B. (2006) · Journal of Geophysical Research: Oceans · doi:10.1029/2005jc003207 · Cited by 959
Self-citationOxford Nanopore MinION Sequencing and Genome Assembly
Lu, H., Giordano, F., & Ning, Z. (2016) · Genomics, Proteomics & Bioinformatics · doi:10.1016/j.gpb.2016.05.004 · Cited by 935
Cited by
Tara Oceans: towards global ocean ecosystems biology
Sunagawa, S., Acinas, S. G., Bork, P., Bowler, C., Coordinators, T. O., Acinas, S. G., Babin, M., Bork, P., Boss, E., Bowler, C., et al. (2020) · Nature Reviews Microbiology · doi:10.1038/s41579-020-0364-5 · Cited by 490
Self-citationSinking organic particles in the ocean—flux estimates from in situ optical devices
Giering, S. L. C., Cavan, E. L., Basedow, S. L., Briggs, N., Burd, A. B., Darroch, L. J., Guidi, L., Irisson, J.-O., Iversen, M. H., Kiko, R., et al. (2020) · Frontiers in Marine Science · doi:10.3389/fmars.2019.00834 · Cited by 143
Self-citationUnderwater dual-magnification imaging for automated lake plankton monitoring
Merz, E., Kozakiewicz, T., Reyes, M., Ebi, C., Isles, P., Baity-Jesi, M., Roberts, P., Jaffe, J. S., Dennis, S. R., Hardeman, T., et al. (2021) · Water Research · doi:10.1016/j.watres.2021.117524 · Cited by 46
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Metadata
- Authors
- Lombard, F., Boss, E., Waite, A. M., Vogt, M., Uitz, J., Stemmann, L., Sosik, H. M., Schulz, J., Romagnan, J.-B., Picheral, M., Pearlman, J., Ohman, M. D., Niehoff, B., Möller, K. O., Miloslavich, P., Lara-Lpez, A., Kudela, R., Lopes, R. M., Kiko, R., Karp-Boss, L., Jaffe, J. S., Iversen, M. H., Irisson, J.-O., Fennel, K., Hauss, H., Guidi, L., Gorsky, G., Giering, S. L. C., Gaube, P., Gallager, S., Dubelaar, G., Cowen, R. K., Carlotti, F., Briseño-Avena, C., Berline, L., Benoit-Bird, K., Bax, N., Batten, S., Ayata, S. D., Artigas, L. F., & Appeltans, W.
- Venue
- Frontiers in Marine Science
- Publisher
- Frontiers Media SA
- Published
- 2019-04-25
- Volume
- 6
- ISSN
- 2296-7745 (ISSN-L)
- OpenAlex
- W2941857669
- Cited by
- 386
- References
- 144
- FWCI
- 25.19
- Type
- journal article
- Language
- en
- Open access
- gold
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- Lombard, F., Boss, E., Waite, A. M., Vogt, M., Uitz, J., Stemmann, L., Sosik, H. M., Schulz, J., Romagnan, J.-B., Picheral, M., Pearlman, J., Ohman, M. D., Niehoff, B., Möller, K. O., Miloslavich, P., Lara-Lpez, A., Kudela, R., Lopes, R. M., Kiko, R., . . . Appeltans, W. (2019). Globally Consistent Quantitative Observations of Planktonic Ecosystems. Frontiers in Marine Science. https://doi.org/10.3389/fmars.2019.00196
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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.