Ryan J. Rabett
Prehistoric pathways to Anthropocene adaptation: Evidence from the Red River Delta, Vietnam
Rabett, Ryan J.; Morimoto, Risa; Kahlert, Thorsten; Stimpson, Christopher M.; O’Donnell, Shawn; Mai Huong, Nguyen Thi; Manh, Bui Van; Holmes, Rachael; Khánh, Phạm Sinh; Van, Tran Tan; Coward, Fiona
Authors
DR Risa Morimoto rm36@soas.ac.uk
Senior Lecturer in Development Economics
Thorsten Kahlert
Christopher M. Stimpson
Shawn O’Donnell
Nguyen Thi Mai Huong
Bui Van Manh
Rachael Holmes
Phạm Sinh Khánh
Tran Tan Van
Fiona Coward
Contributors
Lalit Kumar Sharma
Editor
Abstract
Over the past twenty years, government advisory bodies have placed increasing emphasis on the need for adaptive measures in response to the effects of human-induced climate change. Integrated Assessment Models (IAMs), which incorporate macroeconomic and climate variables, feature prominently in advisory content, though they rarely draw on data from outside strictly constrained hypothetical systems. This has led to assertions that they are not well-suited to approximate complex systemic human-environment processes. Modular, interdisciplinary approaches have offered a way to address this shortcoming; however, beyond climate records, prehistoric data continue to be under-utilised in developing such models. In this paper we highlight the contribution that archaeology and palaeoecology can make to the development of the next generation IAMs that are expected to enhance provision for more local and pro-active adaptations to future climate change. We present data from one of Southeast Asia’s most heavily developed river deltas: the Red River (Song Hong) Delta, in Vietnam and localised analysis from the Tràng An Landscape Complex World Heritage Site, on the delta’s southern margin. Comparison is made between Shared Socio-economic Pathways (SSP) 5–8.5 and SSP2–4.5 emission projection models and the Mid-Holocene inundation of the Red River Basin. We highlight the value to taking a scientific long view of coastal evolution through an illustrative set of eight research foci where palaeo-data can bring new and localised empirical data to bear on future risk management planning. We proceed to demonstrate the applicability of palaeoenvironmental, zooarchaeological and historical evidence to management and the development of sustainable conservation strategies using Tràng An as a case study. In so doing, we further highlight the importance of knowledge exchange between scientific, corporate, non-governmental, local, and state stakeholders to achieve tangible results on the ground.
Citation
Rabett, R. J., Morimoto, R., Kahlert, T., Stimpson, C. M., O’Donnell, S., Mai Huong, N. T., Manh, B. V., Holmes, R., Khánh, P. S., Van, T. T., & Coward, F. (2023). Prehistoric pathways to Anthropocene adaptation: Evidence from the Red River Delta, Vietnam. PLoS ONE, 18(2), Article e0280126. https://doi.org/10.1371/journal.pone.0280126
Journal Article Type | Article |
---|---|
Acceptance Date | Dec 20, 2022 |
Online Publication Date | Feb 8, 2023 |
Publication Date | Feb 8, 2023 |
Deposit Date | Feb 13, 2023 |
Publicly Available Date | Feb 13, 2023 |
Journal | PLoS ONE |
Electronic ISSN | 1932-6203 |
Publisher | Public Library of Science |
Peer Reviewed | Peer Reviewed |
Volume | 18 |
Issue | 2 |
Article Number | e0280126 |
DOI | https://doi.org/10.1371/journal.pone.0280126 |
Publisher URL | https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0280126#sec016 |
Additional Information | Data Access Statement : Sea level reconstruction data for Tràng An during the MidHolocene high stand has been published in Kahlert et al. (https://doi.org/10.1016/j.quascirev.2021. 107001). Sea level rise model comparisons utilised published palaeoenvironmental results, CoastalDEM® courtesy of Climate Central (https:// go.climatecentral.org/coastaldem/). Projected sea levels were obtained via the NASA IPCC AR6 Sea Level Projection Tool (https://sealevel.nasa.gov/ data_tools/17). The topographical base map used in Fig 5 is derived from SRTM 1 Arc Sec DEM, |
Files
pone.0280126.pdf
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Licence
http://creativecommons.org/licenses/by/4.0/
Publisher Licence URL
http://creativecommons.org/licenses/by/4.0/
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