Evidence map›Paper›PMID 36753481›Full record

ArticlePloS one2023

Prehistoric pathways to Anthropocene adaptation: Evidence from the Red River Delta, Vietnam.

Ryan J Rabett, Risa Morimoto, Thorsten Kahlert, Christopher M Stimpson, Shawn O'Donnell, Nguyen Thi Mai Huong, Bui Van Manh, Rachael Holmes, Phạm Sinh Khánh, Tran Tan Van and 1 more

Abstract read
In one paragraph

Article in PloS one, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Ryan J RabettArchaeology & Palaeoecology, School of Natural & Built Environment, Queen's University Belfast, Belfast, United Kingdom.ORCID 0000-0002-1876-2199
Risa MorimotoDepartment of Economics, School of Oriental and African Studies (SOAS), University of London, London, United Kingdom.
Thorsten KahlertCentre for Geographic Information Science and Geomatics, School of Natural & Built Environment, Queen's University Belfast, Belfast, United Kingdom.
Christopher M StimpsonOxford University Museum of Natural History, Oxford, United Kingdom.
Shawn O'DonnellDepartment of Geography & Environmental Sciences, Northumbria University, Newcastle Upon Tyne, United Kingdom.ORCID 0000-0003-0731-7425
Nguyen Thi Mai HuongVietnam Academy of Social Sciences, Institute of Archaeology, Hanoi, Vietnam.
Bui Van ManhDepartment of Tourism, Ninh Bình City, Ninh Bình Province, Vietnam.
Rachael HolmesSchool of Geography, Geology & the Environment, University of Leicester, Leicester, United Kingdom.ORCID 0000-0002-6045-8705
Phạm Sinh KhánhTràng An Landscape Complex Management Board, Ninh Bình City, Ninh Bình Province, Vietnam.
Tran Tan VanVietnam Institute of Geosciences & Mineral Resources, Ministry of Natural Resources & Environment, Hanoi, Vietnam.
Fiona CowardDepartment of Archaeology, Anthropology & Forensic Science, Faculty of Science & Technology Bournemouth University, Poole, Dorset, United Kingdom.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

AcclimatizationRiversClimate ChangeHumansVietnam

Identifiers

PMID36753481
PMCPMC9907861

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.