The DOI matches its Crossref record; 165 of the 165 references it cites were found in a registry or an index.
Essential ocean variables for global sustained observations of biodiversity and ecosystem changes
Open accessAbstract
Sustained observations of marine biodiversity and ecosystems focused on specific conservation and management problems are needed around the world to effectively mitigate or manage changes resulting from anthropogenic pressures. These observations, while complex and expensive, are required by the international scientific, governance and policy communities to provide baselines against which the effects of human pressures and climate change may be measured and reported, and resources allocated to implement solutions. To identify biological and ecological essential ocean variables (EOV s) for implementation within a global ocean observing system that is relevant for science, informs society, and technologically feasible, we used a driver‐pressure‐state‐impact‐response (DPSIR) model. We (1) examined relevant international agreements to identify societal drivers and pressures on marine resources and ecosystems, (2) evaluated the temporal and spatial scales of variables measured by 100+ observing programs, and (3) analysed the impact and scalability of these variables and how they contribute to address societal and scientific issues. EOV s were related to the status of ecosystem components (phytoplankton and zooplankton biomass and diversity, and abundance and distribution of fish, marine turtles, birds and mammals), and to the extent and health of ecosystems (cover and composition of hard coral, seagrass, mangrove and macroalgal canopy). Benthic invertebrate abundance and distribution and microbe diversity and biomass were identified as emerging EOV s to be developed based on emerging requirements and new technologies. The temporal scale at which any shifts in biological systems will be detected will vary across the EOV s, the properties being monitored and the length of the existing time‐series. Global implementation to deliver useful products will require collaboration of the scientific and policy sectors and a significant commitment to improve human and infrastructure capacity across the globe, including the development of new, more automated observing technologies, and encouraging the application of international standards and best practices.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
The State of World Fisheries and Aquaculture 2022
(2022) · FAO eBooks · doi:10.4060/cc0461en · Cited by 5,689
Trophic Downgrading of Planet Earth
Estes, J. A., Terborgh, J., Brashares, J. S., Power, M. E., Berger, J., Bond, W. J., Carpenter, S. R., Essington, T. E., Holt, R. D., Jackson, J. B. C., et al. (2011) · Science · doi:10.1126/science.1205106 · Cited by 4,087 · cited 1×
“Resulting population declines worldwide may have dangerous top-down effects on the structure, function and stability of marine food webs (Estes et al., 2011; McCauley et al., 2015).”
BackgroundAccelerating loss of seagrasses across the globe threatens coastal ecosystems
Waycott, M., Duarte, C. M., Carruthers, T. J. B., Orth, R. J., Dennison, W. C., Olyarnik, S., Calladine, A., Fourqurean, J. W., Heck, K. L., Hughes, A. R., et al. (2009) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0905620106 · Cited by 3,955
Biodiversity redistribution under climate change: Impacts on ecosystems and human well-being
Pecl, G. T., Araújo, M. B., Bell, J. D., Blanchard, J., Bonebrake, T. C., Chen, I.-C., Clark, T. D., Colwell, R. K., Danielsen, F., Evengård, B., et al. (2017) · Science · doi:10.1126/science.aai9214 · Cited by 3,668
Global warming and recurrent mass bleaching of corals
Hughes, T. P., Kerry, J. T., Álvarez-Noriega, M., Álvarez-Romero, J. G., Anderson, K. D., Baird, A. H., Babcock, R. C., Beger, M., Bellwood, D. R., Berkelmans, R., et al. (2017) · Nature · doi:10.1038/nature21707 · Cited by 3,385
Mangroves among the most carbon-rich forests in the tropics
Donato, D. C., Kauffman, J. B., Murdiyarso, D., Kurnianto, S., Stidham, M., & Kanninen, M. (2011) · Nature Geoscience · doi:10.1038/ngeo1123 · Cited by 3,374
Borcard, D., Gillet, F., & Legendre, P. (2011) · doi:10.1007/978-1-4419-7976-6 · Cited by 2,997
Structure and function of the global ocean microbiome
Sunagawa, S., Coelho, L. P., Chaffron, S., Kultima, J. R., Labadie, K., Salazar, G., Djahanschiri, B., Zeller, G., Mende, D. R., Alberti, A., et al. (2015) · Science · doi:10.1126/science.1261359 · Cited by 2,921
The Pacific Decadal Oscillation
Mantua, N. J., & Hare, S. R. (2002) · Journal of Oceanography · doi:10.1023/a:1015820616384 · Cited by 2,773
The quiet revolution of numerical weather prediction
Bauer, P., Thorpe, A., & Brunet, G. (2015) · Nature · doi:10.1038/nature14956 · Cited by 2,729
Cited by
Marine top predators as climate and ecosystem sentinels
Hazen, E. L., Abrahms, B., Brodie, S., Carroll, G., Jacox, M. G., Savoca, M. S., Scales, K. L., Sydeman, W. J., & Bograd, S. J. (2019) · Frontiers in Ecology and the Environment · doi:10.1002/fee.2125 · Cited by 437
Globally Consistent Quantitative Observations of Planktonic Ecosystems
Lombard, F., Boss, E., Waite, A. M., Vogt, M., Uitz, J., Stemmann, L., Sosik, H. M., Schulz, J., Romagnan, J.-B., Picheral, M., et al. (2019) · Frontiers in Marine Science · doi:10.3389/fmars.2019.00196 · Cited by 386
Self-citationEcological variables for developing a global deep-ocean monitoring and conservation strategy
Danovaro, R., Fanelli, E., Aguzzi, J., Billett, D., Carugati, L., Corinaldesi, C., Dell’Anno, A., Gjerde, K., Jamieson, A. J., Kark, S., et al. (2020) · Nature Ecology & Evolution · doi:10.1038/s41559-019-1091-z · Cited by 287
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
Self-citationAcoustic indices respond to specific marine mammal vocalizations and sources of anthropogenic noise
Ferguson, E. L., Clayton, H. M., & Sakai, T. (2023) · Frontiers in Marine Science · doi:10.3389/fmars.2023.1025464 · Cited by 15
“Studies have utilized various ecological indicators to describe the overall condition or health of marine ecosystems, and inform management and conservation practices (Halpern et al., 2014; Loomis et al., 2014; Miloslavich et al., 2018).”
Metadata
- Authors
- Miloslavich, P., Bax, N. J., Simmons, S. E., Klein, E., Appeltans, W., Aburto‐Oropeza, O., Andersen Garcia, M., Batten, S. D., Benedetti‐Cecchi, L., Checkley, D. M., Chiba, S., Duffy, J. E., Dunn, D. C., Fischer, A., Gunn, J., Kudela, R., Marsac, F., Muller‐Karger, F. E., Obura, D., & Shin, Y.
- Venue
- Global Change Biology
- Publisher
- Wiley
- Published
- 2018-04-05
- Volume
- 24
- Issue
- 6
- Pages
- 2416-2433
- ISSN
- 1354-1013 (ISSN-L)
- 1365-2486
- OpenAlex
- W2796410914
- Cited by
- 408
- References
- 165
- FWCI
- 26.50
- Type
- journal article
- Language
- en
- Open access
- hybrid
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Essential ocean variables for global sustained observations of biodiversity and ecosystem changes. https://app.cochat.ai/papers/10.1111/gcb.14108
- The paper
- Miloslavich, P., Bax, N. J., Simmons, S. E., Klein, E., Appeltans, W., Aburto‐Oropeza, O., Andersen Garcia, M., Batten, S. D., Benedetti‐Cecchi, L., Checkley, D. M., Chiba, S., Duffy, J. E., Dunn, D. C., Fischer, A., Gunn, J., Kudela, R., Marsac, F., Muller‐Karger, F. E., Obura, D., & Shin, Y. (2018). Essential ocean variables for global sustained observations of biodiversity and ecosystem changes. Global Change Biology. https://doi.org/10.1111/gcb.14108
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
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.