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Global raster dataset on historical coastline positions and shelf sea extents since the Last Glacial Maximum

  • Johannes De Groeve*
  • , Buntarou Kusumoto
  • , Erik Koene
  • , W. Daniel Kissling
  • , Arie C. Seijmonsbergen
  • , Bert W. Hoeksema
  • , Moriaki Yasuhara
  • , Sietze J. Norder
  • , Sri Yudawati Cahyarini
  • , Alexandra van der Geer
  • , Hanneke J. M. Meijer
  • , Yasuhiro Kubota
  • , Kenneth F. Rijsdijk
  • *Corresponding author for this work

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

Abstract

Motivation: Historical changes in sea level caused shifting coastlines that affected the distribution and evolution of marine and terrestrial biota. At the onset of the Last Glacial Maximum (LGM) 26 ka, sea levels were >130 m lower than at present, resulting in seaward-shifted coastlines and shallow shelf seas, with emerging land bridges leading to the isolation of marine biota and the connection of land-bridge islands to the continents. At the end of the last ice age, sea levels started to rise at unprecedented rates, leading to coastal retreat, drowning of land bridges and contraction of island areas. Although a growing number of studies take historical coastline dynamics into consideration, they are mostly based on past global sea-level stands and present-day water depths and neglect the influence of global geophysical changes on historical coastline positions. Here, we present a novel geophysically corrected global historical coastline position raster for the period from 26 ka to the present. This coastline raster allows, for the first time, calculation of global and regional coastline retreat rates and land loss rates. Additionally, we produced, per time step, 53 shelf sea rasters to present shelf sea positions and to calculate the shelf sea expansion rates. These metrics are essential to assess the role of isolation and connectivity in shaping marine and insular biodiversity patterns and evolutionary signatures within species and species assemblages.

Main types of variables contained: The coastline age raster contains cells with ages in thousands of years before present (bp), representing the time since the coastline was positioned in the raster cells, for the period between 26 ka and the present. A total of 53 shelf sea rasters (sea levels <140 m) are presented, showing the extent of land (1), shelf sea (0) and deep sea (NULL) per time step of 0.5 kyr from 26 ka to the present.

Spatial location and grain: The coastline age raster and shelf sea rasters have a global representation. The spatial resolution is scaled to 120 arcsec (0.333° × 0.333°), implying cells of c. 3,704 m around the equator, 3,207 m around the tropics (±30°) and 1,853 m in the temperate zone (±60°).

Time period and temporal resolution: The coastline age raster shows the age of coastline positions since the onset of the LGM 26 ka, with time steps of 0.5 kyr. The 53 shelf sea rasters show, for each time step of 0.5 kyr, the position of the shelf seas (seas shallower than 140 m) and the extent of land.

Level of measurement: Both the coastline age raster and the 53 shelf sea rasters are provided as TIFF files with spatial reference system WGS84 (SRID 4326). The values of the coastline age raster per grid cell correspond to the most recent coastline position (in steps of 0.5 kyr). Values range from 0 (0 ka, i.e., present day) to 260 (26 ka) in bins of 5 (0.5 kyr). A value of “no data” is ascribed to pixels that have remained below sea level since 26 ka.

Software format: All data processing was done using the R programming language.

© 2022 The Authors. Global Ecology and Biogeography published by John Wiley & Sons Ltd.
Original languageEnglish
Pages (from-to)2162-2171
JournalGlobal Ecology and Biogeography
Volume31
Issue number11
Online published14 Aug 2022
DOIs
Publication statusPublished - Nov 2022
Externally publishedYes

Funding

S.J.N. was supported by the European Research Council under the EU H2020 and Research and Innovation program (SAPPHIRE grant 818854). W.D.K. acknowledges funding from the University of Amsterdam via the Faculty Research Cluster “Global Ecology”. M.Y. was supported by grants from the Research Grants Council of the Hong Kong Special Administrative Region, China (project codes: HKU 17300821, HKU 17300720 and HKU 17302518) and the Marine Conservation Enhancement Fund (project code: MCEF20002; to M.Y.). B.K. and Y.K. were supported by the Program for Advancing Strategic International Networks to Accelerate the Circulation of Talented Researchers by the Japan Society for the Promotion of Science and the Ocean‐180 project by Ministry of Education, Culture, Sports, Science and Technology.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 13 - Climate Action
    SDG 13 Climate Action

Research Keywords

  • coastline retreat
  • connectivity change
  • glacial sensitive model
  • insular biodiversity patterns
  • palaeogeography
  • Pleistocene climate change
  • prehistorical human settlement
  • sea-level fluctuations
  • shelf expansion

Publisher's Copyright Statement

  • This full text is made available under CC-BY 4.0. https://creativecommons.org/licenses/by/4.0/

RGC Funding Information

  • RGC-funded

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