{"id":297416,"date":"2025-12-03T21:19:13","date_gmt":"2025-12-03T21:19:13","guid":{"rendered":"https:\/\/www.newsbeep.com\/uk\/297416\/"},"modified":"2025-12-03T21:19:13","modified_gmt":"2025-12-03T21:19:13","slug":"overlooked-and-extensive-ghost-forest-formation-across-the-us-atlantic-coast","status":"publish","type":"post","link":"https:\/\/www.newsbeep.com\/uk\/297416\/","title":{"rendered":"Overlooked and extensive ghost forest formation across the US Atlantic coast"},"content":{"rendered":"

Adame, M. F. et al. All tidal wetlands are blue carbon ecosystems. BioScience 74, 253\u2013268 (2024).<\/p>\n

Article<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n

Donato, D. C. et al. Mangroves among the most carbon-rich forests in the tropics. Nat. Geosci. 4, 293\u2013297 (2011).<\/p>\n

Article<\/a>\u00a0
\n CAS<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n

Barbier, E. B. et al. The value of estuarine and coastal ecosystem services. Ecol. Monogr. 81, 169\u2013193 (2011).<\/p>\n

Article<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n

O\u2019Donnell, K. L. et al. Saltwater intrusion and sea level rise threatens US rural coastal landscapes and communities. Anthropocene 45, 100427 (2024).<\/p>\n

Article<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n

Choat, B. et al. Global convergence in the vulnerability of forests to drought. Nature 491, 752\u2013755 (2012).<\/p>\n

Article<\/a>\u00a0
\n CAS<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n

Chambers, J. Q. et al. Hurricane Katrina\u2019s carbon footprint on US Gulf Coast forests. Science 318, 1107\u20131107 (2007).<\/p>\n

Article<\/a>\u00a0
\n CAS<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n

Kirwan, M. L. & Gedan, K. B. Sea-level driven land conversion and the formation of ghost forests. Nat. Clim. Change 9, 450\u2013457 (2019).<\/p>\n

Article<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n

McDowell, N. et al. Processes and mechanisms of coastal woody-plant mortality. Glob. Change Biol. 28, 5881\u20135900 (2022).<\/p>\n

Article<\/a>\u00a0
\n CAS<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n

Ury, E. A., Yang, X., Wright, J. P. & Bernhardt, E. S. Rapid deforestation of a coastal landscape driven by sea-level rise and extreme events. Ecol. Appl. 31, e02339 (2021).<\/p>\n

Article<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n

White, E., Ury, E. A., Bernhardt, E. S. & Yang, X. Climate change driving widespread loss of coastal forested wetlands throughout the North American coastal plain. Ecosystems 25, 812\u2013827 (2022).<\/p>\n

Article<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n

Williams, K., MacDonald, M. & Sternberg, L. daS. L. Interactions of storm, drought, and sea-level rise on coastal forest: a case study. J. Coast. Res. 19, 1116\u20131121 (2003).<\/p>\n


\n Google Scholar<\/a>\u00a0\n <\/p>\n

Conner, W. H. Ecology of Tidal Freshwater Forested Wetlands of the Southeastern United States (Springer, 2007).<\/p>\n

Book<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n

Powell, E. et al. Spaceborne lidar observations reveal impacts of inundation on coastal forest structure across the US mid-Atlantic. Estuar. Coast. Shelf Sci. 323, 109372 (2025).<\/p>\n

Article<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n

Smart, L. S. et al. Aboveground carbon loss associated with the spread of ghost forests as sea levels rise. Environ. Res. Lett. 15, 104028 (2020).<\/p>\n

Article<\/a>\u00a0
\n CAS<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n

Smith, A. J. & Kirwan, M. L. Sea level-driven marsh migration results in rapid net loss of carbon. Geophys. Res. Lett. 48, e2021GL092420 (2021).<\/p>\n

Article<\/a>\u00a0
\n CAS<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n

Carmichael, M. J., Helton, A. M., White, J. C. & Smith, W. K. Standing dead trees are a conduit for the atmospheric flux of CH4 and CO2 from wetlands. Wetlands 38, 133\u2013143 (2018).<\/p>\n

Article<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n

Martinez, M. & Ard\u00f3n, M. Drivers of greenhouse gas emissions from standing dead trees in ghost forests. Biogeochemistry 154, 471\u2013488 (2021).<\/p>\n

Article<\/a>\u00a0
\n CAS<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n

Williams, K., Ewel, K. C., Stumpf, R. P., Putz, F. E. & Workman, T. W. Sea-level rise and coastal forest retreat on the west coast of Florida, USA. Ecology 80, 2045\u20132063 (1999).<\/p>\n

Article<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n

Smith, I., Fiorino, G., Grabas, G. & Wilcox, D. A. Wetland vegetation response to record-high Lake Ontario water levels. J. Gt Lakes Res. 47, 160\u2013167 (2021).<\/p>\n

Article<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n

Tully, K. et al. The invisible flood: the chemistry, ecology, and social implications of coastal saltwater intrusion. BioScience 69, 368\u2013378 (2019).<\/p>\n

Article<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n

Bhattachan, A. et al. Evaluating the effects of land-use change and future climate change on vulnerability of coastal landscapes to saltwater intrusion. Elem. Sci. Anthr. 6, 62 (2018).<\/p>\n

Article<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n

Sallenger, A. H., Doran, K. S. & Howd, P. A. Hotspot of accelerated sea-level rise on the Atlantic coast of North America. Nat. Clim. Change 2, 884\u2013888 (2012).<\/p>\n

Article<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n

Velasquez-Manoff, M. As sea levels rise, so do ghost forests. The New York Times (8 October 2019).<\/p>\n

Zee, G., Griswold, L., Manzo, D. & Pereira, I. \u2018Ghost forests\u2019 threaten New Jersey\u2019s water, ecosystem. ABC News (29 November 2023).<\/p>\n

Cheng, Y. et al. Scattered tree death contributes to substantial forest loss in California. Nat. Commun. 15, 641 (2024).<\/p>\n

Article<\/a>\u00a0
\n CAS<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n

Dixon, D. J., Zhu, Y., Brown, C. F. & Jin, Y. Satellite detection of canopy-scale tree mortality and survival from California wildfires with spatio-temporal deep learning. Remote Sens. Environ. 298, 113842 (2023).<\/p>\n

Article<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n

Field, C. R., Gjerdrum, C. & Elphick, C. S. Forest resistance to sea-level rise prevents landward migration of tidal marsh. Biol. Conserv. 201, 363\u2013369 (2016).<\/p>\n

Article<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n

Pasquarella, V. J., Elkinton, J. S. & Bradley, B. A. Extensive gypsy moth defoliation in Southern New England characterized using Landsat satellite observations. Biol. Invasions 20, 3047\u20133053 (2018).<\/p>\n

Article<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n

Bernhardt, E. Coastal freshwater wetlands squeezed between migrating salt marshes and working lands. Sci. Adv. 8, eadd1628 (2022).<\/p>\n

Article<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n

Chen, Y. & Kirwan, M. L. Upland forest retreat lags behind sea-level rise in the mid-Atlantic coast. Glob. Change Biol. 30, e17081 (2024).<\/p>\n

Article<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n

Tully, K. L., Weissman, D., Wyner, W. J., Miller, J. & Jordan, T. Soils in transition: saltwater intrusion alters soil chemistry in agricultural fields. Biogeochemistry 142, 339\u2013356 (2019).<\/p>\n

Article<\/a>\u00a0
\n CAS<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n

Ury, E. A., Wright, J. P., Ard\u00f3n, M. & Bernhardt, E. S. Saltwater intrusion in context: soil factors regulate impacts of salinity on soil carbon cycling. Biogeochemistry 157, 215\u2013226 (2022).<\/p>\n

Article<\/a>\u00a0
\n CAS<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n

Ard\u00f3n, M., Morse, J. L., Colman, B. P. & Bernhardt, E. S. Drought-induced saltwater incursion leads to increased wetland nitrogen export. Glob. Change Biol. 19, 2976\u20132985 (2013).<\/p>\n

Article<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n

Kirwan, M. L. et al. Feedbacks regulating the salinization of coastal landscapes. Annu. Rev. Mar. Sci. 17, 461\u2013484 (2025).<\/p>\n

Article<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n

Helton, A. M. et al. Over, under, and through: hydrologic connectivity and the future of coastal landscape salinization. Water Resour. Res. 61, e2024WR038720 (2025).<\/p>\n

Article<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n

Ohenhen, L. O., Shirzaei, M., Ojha, C., Sherpa, S. F. & Nicholls, R. J. Disappearing cities on US coasts. Nature 627, 108\u2013115 (2024).<\/p>\n

Article<\/a>\u00a0
\n CAS<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n

Osland, M. J. et al. Migration and transformation of coastal wetlands in response to rising seas. Sci. Adv. 8, eabo5174 (2022).<\/p>\n

Article<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n

Maxwell, T. L. et al. Soil carbon in the world\u2019s tidal marshes. Nat. Commun. 15, 10265 (2024).<\/p>\n

Aakala, T., Kuuluvainen, T., Gauthier, S. & De Grandpr\u00e9, L. Standing dead trees and their decay-class dynamics in the northeastern boreal old-growth forests of Quebec. Ecol. Manag. 255, 410\u2013420 (2008).<\/p>\n

Article<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n

Kearney, W. S., Fernandes, A. & Fagherazzi, S. Sea-level rise and storm surges structure coastal forests into persistence and regeneration niches. PLoS ONE 14, e0215977 (2019).<\/p>\n

Article<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n

McDowell, N. et al. Pervasive shifts in forest dynamics in a changing world. Science 368, eaaz9463 (2020).<\/p>\n

Article<\/a>\u00a0
\n CAS<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n

Lagomasino, D. et al. Storm surge and ponding explain mangrove dieback in southwest Florida following Hurricane Irma. Nat. Commun. 12, 4003 (2021).<\/p>\n

Article<\/a>\u00a0
\n CAS<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n

White, E. & Kaplan, D. Restore or retreat? Saltwater intrusion and water management in coastal wetlands. Ecosyst. Health Sustain. 3, e01258 (2017).<\/p>\n

Article<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n

Fagherazzi, S. et al. The ecohydrology of coastal ghost forests. Ecohydrology 18, e70020 (2025).<\/p>\n

Article<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n

Kirwan, M. L. & Megonigal, J. P. Tidal wetland stability in the face of human impacts and sea-level rise. Nature 504, 53\u201360 (2013).<\/p>\n

Article<\/a>\u00a0
\n CAS<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n

Neville, J. A., Emanuel, R. E., Ard\u00f3n, M. & Pavelsky, T. Location and design of flow control structures differentially influence salinity patterns in small artificial drainage systems. J. Water Resour. Plan. Manag. 149, 05023002 (2023).<\/p>\n

Article<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n

van Zelst, V. T. M. et al. Cutting the costs of coastal protection by integrating vegetation in flood defences. Nat. Commun. 12, 6533 (2021).<\/p>\n

Article<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n

Fagherazzi, S. et al. Sea level rise and the dynamics of the marsh-upland boundary. Front. Environ. Sci. 7, 25 (2019).<\/p>\n

Article<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n

Du, L. et al. Drainage ditch network extraction from lidar data using deep convolutional neural networks in a low relief landscape. J. Hydrol. 628, 130591 (2024).<\/p>\n

Article<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n

Storm surge overview. NOAA https:\/\/www.weather.gov\/phi\/stormsurge<\/a> (2025).<\/p>\n

National Agriculture Imagery Program (NAIP). USDA Farm Production and Conservation Business Center https:\/\/naip-usdaonline.hub.arcgis.com\/<\/a> (2024).<\/p>\n

Brandt, M. et al. An unexpectedly large count of trees in the West African Sahara and Sahel. Nature 587, 78\u201382 (2020).<\/p>\n

Article<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n

Gu, J. et al. Recent advances in convolutional neural networks. Pattern Recognit. 77, 354\u2013377 (2018).<\/p>\n

Article<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n

Kattenborn, T., Leitloff, J., Schiefer, F. & Hinz, S. Review on convolutional neural networks (CNN) in vegetation remote sensing. ISPRS J. Photogramm. Remote Sens. 173, 24\u201349 (2021).<\/p>\n

Article<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n

Ouali, Y., Hudelot, C. & Tami, M. An overview of deep semi-supervised learning. Preprint at https:\/\/arxiv.org\/abs\/2006.05278<\/a> (2020).<\/p>\n

Ronneberger, O., Fischer, P. & Brox, T. U-Net: convolutional networks for biomedical image segmentation. In International Conference on Medical Image Computing and Computer-Assisted Intervention (eds Navab, N. et al.) 234\u2013241 (Springer, 2015).<\/p>\n

Tan, M. & Le, Q. V. EfficientNet: rethinking model scaling for convolutional neural networks. In International Conference on Machine Learning 6105\u20136114 (ICML, 2019).<\/p>\n

Deng, J. et al. ImageNet: a large-scale hierarchical image database. In 2009 IEEE Conference on Computer Vision and Pattern Recognition 248\u2013255 (IEEE, 2009).<\/p>\n

Abraham, N. & Khan, N. M. A novel focal tversky loss function with improved attention U-Net for lesion segmentation. In 2019 IEEE 16th International Symposium on Biomedical Imaging 683\u2013687 (IEEE, 2019).<\/p>\n

Detection surveys. US Forest Service https:\/\/www.fs.usda.gov\/science-technology\/data-tools-products\/fhp-mapping-reporting\/detection-surveys<\/a> (2021).<\/p>\n

3D Elevation Program. US Geological Survey https:\/\/www.usgs.gov\/3d-elevation-program<\/a> (2024).<\/p>\n

NOAA Shoreline. NOAA https:\/\/shoreline.noaa.gov\/med-res.html<\/a> (2024).<\/p>\n

Hansen, M. C. et al. High-resolution global maps of 21st-century forest cover change. Science 342, 850\u2013853 (2013).<\/p>\n

Article<\/a>\u00a0
\n CAS<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n

Coastal Change Analysis Program (C-CAP) regional land cover. NOAA Office for Coastal Management https:\/\/coast.noaa.gov\/digitalcoast\/data\/ccapregional.html<\/a> (2024).<\/p>\n

Protected Areas Database of the United States (PAD-US). USGS https:\/\/doi.org\/10.5066\/P96WBCHS<\/a> (2024).<\/p>\n

Ord, J. K. & Getis, A. Local spatial autocorrelation statistics: distributional issues and an application. Geogr. Anal. 27, 286\u2013306 (1995).<\/p>\n

Article<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n

Caldas de Castro, M. & Singer, B. H. Controlling the false discovery rate: a new application to account for multiple and dependent tests in local statistics of spatial association. Geogr. Anal. 38, 180\u2013208 (2006).<\/p>\n

Article<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n

Breiman, L. Random forest. Mach. Learn. 45, 5\u201332 (2001).<\/p>\n

Article<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n

Hoeppner, S. S., Shaffer, G. P. & Perkins, T. E. Through droughts and hurricanes: tree mortality, forest structure, and biomass production in a coastal swamp targeted for restoration in the Mississippi River Deltaic Plain. For. Ecol. Manag. 256, 937\u2013948 (2008).<\/p>\n

Article<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n

Dormann, C. F. et al. Collinearity: a review of methods to deal with it and a simulation study evaluating their performance. Ecography 36, 27\u201346 (2013).<\/p>\n

Article<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n

Zhu, M. et al. Class weights random forest algorithm for processing class imbalanced medical data. IEEE Access 6, 4641\u20134652 (2018).<\/p>\n

Article<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n

Nembrini, S., K\u00f6nig, I. R. & Wright, M. N. The revival of the Gini importance?. Bioinformatics 34, 3711\u20133718 (2018).<\/p>\n

Article<\/a>\u00a0
\n CAS<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n

Greenwell, B. M. pdp: an R package for constructing partial dependence plots. R. J. 9, 421 (2017).<\/p>\n

Article<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n

National hydrography dataset. US Geological Survey https:\/\/www.usgs.gov\/national-hydrography\/national-hydrography-dataset<\/a> (2024).<\/p>\n

TIGER\/Line Shapefiles. US Census Bureau https:\/\/www.census.gov\/geographies\/mapping-files\/time-series\/geo\/tiger-line-file.html<\/a> (2024).<\/p>\n

National levee database. US Army Corps of Engineers https:\/\/levees.sec.usace.army.mil\/<\/a> (2024).<\/p>\n

Ho, D. E., Imai, K., King, G. & Stuart, E. A. MatchIt: nonparametric preprocessing for parametric causal inference. J. Stat. Softw. 42, 1\u201328 (2011).<\/p>\n

Article<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n

Yeung, H. C. H. et al. Overlooked and extensive ghost forest formation across the US Atlantic coast\u2013data. Zenodo https:\/\/doi.org\/10.5281\/zenodo.16380867<\/a> (2025).<\/p>\n

Individual tree species parameter maps. US Forest Service https:\/\/www.fs.usda.gov\/science-technology\/data-tools-products\/fhp-mapping-reporting\/individual-tree-species-parameter-maps<\/a> (2022).<\/p>\n","protected":false},"excerpt":{"rendered":"Adame, M. F. et al. All tidal wetlands are blue carbon ecosystems. BioScience 74, 253\u2013268 (2024). Article\u00a0 Google…\n","protected":false},"author":2,"featured_media":297417,"comment_status":"","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[22],"tags":[16159,1397,119891,90,8508,56,54,55],"class_list":{"0":"post-297416","1":"post","2":"type-post","3":"status-publish","4":"format-standard","5":"has-post-thumbnail","7":"category-environment","8":"tag-climate-change-mitigation","9":"tag-environment","10":"tag-forest-ecology","11":"tag-science","12":"tag-sustainable-development","13":"tag-uk","14":"tag-united-kingdom","15":"tag-unitedkingdom"},"_links":{"self":[{"href":"https:\/\/www.newsbeep.com\/uk\/wp-json\/wp\/v2\/posts\/297416","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.newsbeep.com\/uk\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.newsbeep.com\/uk\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.newsbeep.com\/uk\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/www.newsbeep.com\/uk\/wp-json\/wp\/v2\/comments?post=297416"}],"version-history":[{"count":0,"href":"https:\/\/www.newsbeep.com\/uk\/wp-json\/wp\/v2\/posts\/297416\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.newsbeep.com\/uk\/wp-json\/wp\/v2\/media\/297417"}],"wp:attachment":[{"href":"https:\/\/www.newsbeep.com\/uk\/wp-json\/wp\/v2\/media?parent=297416"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.newsbeep.com\/uk\/wp-json\/wp\/v2\/categories?post=297416"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.newsbeep.com\/uk\/wp-json\/wp\/v2\/tags?post=297416"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}