Evidence map›Paper›PMID 38665203›Full record

ArticleCommunications earth & environment2023

Global survey shows planners use widely varying sea-level rise projections for coastal adaptation.

Daniella Hirschfeld, David Behar, Robert J Nicholls, Niamh Cahill, Thomas James, Benjamin P Horton, Michelle E Portman, Rob Bell, Matthew Campo, Miguel Esteban and 19 more

Abstract read
In one paragraph

Article in Communications earth & environment, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Perspective on Regional Sea-level Change and Coastal Impacts.Cambridge prisms. Coastal futures · 2024
    Article
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

29 authors.

Daniella HirschfeldDepartment of Landscape Architecture and Environmental Planning, Utah State University, 4005 Old Main Hill, Logan, UT 84322-4005 USA.ORCID 0000-0001-9664-7594
David BeharSan Francisco Public Utilities Commission, San Francisco, CA USA.
Robert J NichollsTyndall Centre for Climate Change Research, University of East Anglia, Norwich, UK.ORCID 0000-0002-9715-1109
Niamh CahillDepartment of Mathematics and Statistics, National University of Ireland, Maynooth, Ireland.ORCID 0000-0003-3086-550X
Thomas JamesGeological Survey of Canada, Natural Resources Canada, Victoria, Canada.ORCID 0000-0001-7321-047X
Benjamin P HortonEarth Observatory of Singapore, Nanyang Technological University, Singapore, Singapore.ORCID 0000-0001-9245-3768
Michelle E PortmanMarCoast Ecosystems Integration Lab, Technion - Israel Institute of Technology, Haifa, 32000 Israel.
Rob BellBell Adapt Ltd, Hamilton, 3210 New Zealand.ORCID 0000-0002-8490-8942
Matthew CampoEdward J. Bloustein School of Planning & Public Policy, Rutgers, The State University of New Jersey, New Brunswick, NJ USA.ORCID 0000-0003-4338-6874
Miguel EstebanDepartment of Civil and Environmental Engineering, Waseda University, Tokyo, Japan.ORCID 0000-0003-3032-499X
Bronwyn GobleThe Oceanographic Research Institute, Durban, South Africa.
Munsur RahmanInstitute of Water and Flood Management (IWFM), Bangladesh University of Engineering and Technology (BUET), Dhaka, 1000 Bangladesh.
Kwasi Appeaning AddoUniversity of Ghana, Accra, Ghana.ORCID 0000-0001-8981-5684
Faiz Ahmed ChundeliSchool of Planning and Architecture, Vijayawada, Andhra Pradesh India.ORCID 0000-0003-1556-2375
Monique AungerGeological Survey of Canada, Lands and Minerals Sector, Natural Resources Canada 601 Booth Street, Ottawa, ON Canada.
Orly BabitskyMarCoast Ecosystems Integration Lab, Technion - Israel Institute of Technology, Haifa, 32000 Israel.
Anders BealWoodrow Wilson International Center for Scholars, Washington, DC USA.
Ray BoyleCollege of Environmental Design, University of California Berkeley, Berkeley California, USA.
Jiayi FangInstitute of Remote Sensing and Earth Sciences, School of Information Science and Technology, Hangzhou Normal University, Hangzhou, 311121 China.ORCID 0000-0002-0420-5615
Amir GoharUniversity of the West of England, Bristol, UK.
Susan HansonTyndall Centre for Climate Change Research, University of East Anglia, Norwich, UK.ORCID 0000-0002-2198-1595
Saul KaramesinesDepartment of Landscape Architecture and Environmental Planning, Utah State University, 4005 Old Main Hill, Logan, UT 84322-4005 USA.
M J KimMinistry of Oceans and Fisheries affairs, Busan, Republic of Korea.ORCID 0000-0001-9502-2533
Hilary LohmannDepartment of Planning and Natural Resources, St. Croix, USVI USA.
Kathy McInnesClimate Science Centre, CSIRO Environment, Aspendale, VIC Australia.ORCID 0000-0002-1810-7215
Nobuo MimuraGlobal and Local Environment Co-creation Institute, Ibaraki University, Ibaraki, Japan.ORCID 0000-0002-7082-9194
Doug RamsayNational Institute for Water and Atmospheric Research, Auckland, New Zealand.
Landis WengerDepartment of Landscape Architecture and Environmental Planning, Utah State University, 4005 Old Main Hill, Logan, UT 84322-4005 USA.
Hiromune YokokiDepartment of Civil, Architectural, and Environmental Engineering, Ibaraki University, Ibaraki, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Including sea-level rise (SLR) projections in planning and implementing coastal adaptation is crucial. Here we analyze the first global survey on the use of SLR projections for 2050 and 2100. Two-hundred and fifty-three coastal practitioners engaged in adaptation/planning from 49 countries provided complete answers to the survey which was distributed in nine languages - Arabic, Chinese, English, French, Hebrew, Japanese, Korean, Portuguese and Spanish. While recognition of the threat of SLR is almost universal, only 72% of respondents currently utilize SLR projections. Generally, developing countries have lower levels of utilization. There is no global standard in the use of SLR projections: for locations using a standard data structure, 53% are planning using a single projection, while the remainder are using multiple projections, with 13% considering a low-probability high-end scenario. Countries with histories of adaptation and consistent national support show greater assimilation of SLR projections into adaptation decisions. This research provides new insights about current planning practices and can inform important ongoing efforts on the application of the science that is essential to the promotion of effective adaptation.

Indexed as

Climate-change adaptationEnvironmental studiesGeography

Identifiers

PMID38665203
PMCPMC11041751

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

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.