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Wetlands

, 31:471 | Cite as

Geographically Comprehensive Assessment of Salt-Meadow Vegetation-Elevation Relations Using LiDAR

  • Jesper Erenskjold Moeslund
  • Lars Arge
  • Peder Klith Bøcher
  • Bettina Nygaard
  • Jens-Christian Svenning
Article

Abstract

Salt meadows are thought to be vulnerable to habitat loss under future sea-level rise (SLR) due to inundation and compression of coastal environments (coastal squeezing). The extent of this threat is poorly understood due to the lack of geographically comprehensive impact assessments. Here, we linked vegetation data for Danish salt meadows to novel very fine-resolution digital elevation models. We developed statistical models relating plant species richness and average salt tolerance to elevation at different spatial scales. The best models were used to quantify potential impacts of SLR on Danish salt-meadow vegetation under five potential 21st-century scenarios. Overall, species richness increased with elevation (average r 2 = 0.21), while average salt tolerance decreased (average r 2 = 0.45). Fine resolution (≤10-m) topography was required to fully represent vegetation-elevation relationships. At >50-m resolutions only feeble links were found. Under the worst scenarios 67–74% of the Danish salt-meadow area was projected to be lost. Notably, the relatively species-rich upper meadows were predicted to shrink drastically. If realized, these impacts may have severe consequences for salt-meadow biodiversity. We note that sedimentation, not accounted for here, may allow some salt meadows to partly keep up with SLR but the extent to which this will occur and where is uncertain.

Keywords

Coastal squeezing Europe Habitat loss Microtopography Plant species diversity NATURA 2000 

Notes

Acknowledgments

We gratefully acknowledge economic support from the Danish Natural Science Research Council (grant #272-07-0242 to JCS), a NABIIT grant from the Danish Strategic Research Council, and by MADALGO: Center for Massive Data Algorithmics, a Center of the Danish National Research Foundation. We thank Niels Bohr Fondet for a grant to JEM. Finally, we thank Peter Vestergaard and three anonymous reviewers for comments helping to significantly improve the manuscript.

Supplementary material

13157_2011_179_MOESM1_ESM.pdf (6.4 mb)
ESM 1 (PDF 6.41 MB)

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Copyright information

© Society of Wetland Scientists 2011

Authors and Affiliations

  • Jesper Erenskjold Moeslund
    • 1
    • 2
    • 3
  • Lars Arge
    • 2
  • Peder Klith Bøcher
    • 1
  • Bettina Nygaard
    • 4
  • Jens-Christian Svenning
    • 1
  1. 1.Ecoinformatics & Biodiversity Group, Department of Biological SciencesAarhus UniversityAarhus CDenmark
  2. 2.MADALGO - Center for Massive Data AlgorithmicsAarhus UniversityAarhus NDenmark
  3. 3.Faculty of Agricultural ScienceAarhus UniversityTjeleDenmark
  4. 4.Department of Wildlife Ecology and Biodiversity, National Environmental Research InstituteAarhus UniversityRoendeDenmark

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