The DOI matches its Crossref record; 55 of the 55 references it cites were found in a registry or an index.
High-resolution mapping of losses and gains of Earth’s tidal wetlands
Open accessAbstract
Tidal wetlands are expected to respond dynamically to global environmental change, but the extent to which wetland losses have been offset by gains remains poorly understood. We developed a global analysis of satellite data to simultaneously monitor change in three highly interconnected intertidal ecosystem types—tidal flats, tidal marshes, and mangroves—from 1999 to 2019. Globally, 13,700 square kilometers of tidal wetlands have been lost, but these have been substantially offset by gains of 9700 km 2 , leading to a net change of −4000 km 2 over two decades. We found that 27% of these losses and gains were associated with direct human activities such as conversion to agriculture and restoration of lost wetlands. All other changes were attributed to indirect drivers, including the effects of coastal processes and climate change.
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Breiman, L. (2001) · Machine Learning · doi:10.1023/a:1010933404324 · Cited by 133,538
Google Earth Engine: Planetary-scale geospatial analysis for everyone
Gorelick, N., Hancher, M., Dixon, M., Ilyushchenko, S., Thau, D., & Moore, R. (2017) · Remote Sensing of Environment · doi:10.1016/j.rse.2017.06.031 · Cited by 14,719
High-Resolution Global Maps of 21st-Century Forest Cover Change
Hansen, M. C., Potapov, P. V., Moore, R., Hancher, M., Turubanova, S. A., Tyukavina, A., Thau, D., Stehman, S. V., Goetz, S. J., Loveland, T. R., et al. (2013) · Science · doi:10.1126/science.1244693 · Cited by 11,704
The use of the Normalized Difference Water Index (NDWI) in the delineation of open water features
McFEETERS, S. K. (1996) · International Journal of Remote Sensing · doi:10.1080/01431169608948714 · Cited by 7,725
Xu, H. (2006) · International Journal of Remote Sensing · doi:10.1080/01431160600589179 · Cited by 5,998
The value of estuarine and coastal ecosystem services
Barbier, E. B., Hacker, S. D., Kennedy, C., Koch, E. W., Stier, A. C., & Silliman, B. R. (2011) · Ecological Monographs · doi:10.1890/10-1510.1 · Cited by 5,654
Marine Ecoregions of the World: A Bioregionalization of Coastal and Shelf Areas
Spalding, M. D., Fox, H. E., Allen, G. R., Davidson, N., Ferdaña, Z. A., Finlayson, M., Halpern, B. S., Jorge, M. A., Lombana, A., Lourie, S. A., et al. (2007) · BioScience · doi:10.1641/b570707 · Cited by 4,084
Self-citationranger: A Fast Implementation of Random Forests for High Dimensional Data in C++ and R
Wright, M. N., & Ziegler, A. (2017) · Journal of Statistical Software · doi:10.18637/jss.v077.i01 · Cited by 3,340
Status and distribution of mangrove forests of the world using earth observation satellite data
Giri, C., Ochieng, E., Tieszen, L. L., Zhu, Z., Singh, A., Loveland, T., Masek, J., & Duke, N. (2011) · Global Ecology and Biogeography · doi:10.1111/j.1466-8238.2010.00584.x · Cited by 3,171
ETOPO1 arc-minute global relief model : procedures, data sources and analysis
Amante, C., & Eakins, B. W. (2009) · NOAA Institutional Repository · Cited by 3,095
Cited by
Brown, C. F., Kazmierski, M. R., Pasquarella, V. J., Rucklidge, W. J., Samsikova, M., Zhang, C., Shelhamer, E., Lahera, E., Wiles, O., Ilyushchenko, S., et al. (2025) · arXiv · doi:10.48550/arxiv.2507.22291 · Cited by 172
Metadata
- Authors
- Murray, N. J., Worthington, T. A., Bunting, P., Duce, S., Hagger, V., Lovelock, C. E., Lucas, R., Saunders, M. I., Sheaves, M., Spalding, M., Waltham, N. J., & Lyons, M. B.
- Venue
- Science
- Published
- 2022-05-13
- Volume
- 376
- Issue
- 6594
- Pages
- 744-749
- ISSN
- 0036-8075 (ISSN-L)
- 1095-9203
- OpenAlex
- W4280592757
- Cited by
- 489
- References
- 55
- FWCI
- 48.18
- Type
- journal article
- Language
- en
- Open access
- green
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- Murray, N. J., Worthington, T. A., Bunting, P., Duce, S., Hagger, V., Lovelock, C. E., Lucas, R., Saunders, M. I., Sheaves, M., Spalding, M., Waltham, N. J., & Lyons, M. B. (2022). High-resolution mapping of losses and gains of Earth’s tidal wetlands. Science. https://doi.org/10.1126/science.abm9583
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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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