Sea-level driven land conversion and the formation of ghost forests
Matthew L. Kirwan () and
Keryn B. Gedan
Additional contact information
Matthew L. Kirwan: College of William and Mary
Keryn B. Gedan: George Washington University
Nature Climate Change, 2019, vol. 9, issue 6, 450-457
Abstract:
Abstract Ghost forests created by the submergence of low-lying land are one of the most striking indicators of climate change along the Atlantic coast of North America. Although dead trees at the margin of estuaries were described as early as 1910, recent research has led to new recognition that the submergence of terrestrial land is geographically widespread, ecologically and economically important, and globally relevant to the survival of coastal wetlands in the face of rapid sea level rise. This emerging understanding has in turn generated widespread interest in the physical and ecological mechanisms influencing the extent and pace of upland to wetland conversion. Choices between defending the coast from sea level rise and facilitating ecosystem transgression will play a fundamental role in determining the fate and function of low-lying coastal land.
Date: 2019
References: Add references at CitEc
Citations: View citations in EconPapers (9)
Downloads: (external link)
https://www.nature.com/articles/s41558-019-0488-7 Abstract (text/html)
Access to the full text of the articles in this series is restricted.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:nat:natcli:v:9:y:2019:i:6:d:10.1038_s41558-019-0488-7
Ordering information: This journal article can be ordered from
https://www.nature.com/nclimate/
DOI: 10.1038/s41558-019-0488-7
Access Statistics for this article
Nature Climate Change is currently edited by Bronwyn Wake
More articles in Nature Climate Change from Nature
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().