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Peer-reviewedCC BYEnvironmental science & technology

Sea Level Rise Damages on Ecosystem Quality─A Life Cycle Impact Pathway.

  • Nele Teutloff1,2
  • Martin Dorber3
  • Peter K R Holzapfel1
  • Matthias Finkbeiner1
  • Alexis Laurent2
  1. 1Chair of Sustainable Engineering, Institute of Environmental Technology, Technische Universität Berlin, Berlin10623, Germany.
  2. 2Section for Quantitative Sustainability Assessment, Department of Environmental and Resource Engineering, Technical University of Denmark, Lyngby2800, Denmark.
  3. 3Department of Energy and Process Engineering, Norwegian University of Science and Technology, Trondheim, TrøndelagNO-7491, Norway.
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Abstract

Climate change causes species extinction not only by the direct increase in surface temperatures but also by indirect mechanisms, like sea level rise (SLR). These indirect mechanisms are rarely integrated into environmental impact assessment methods, such as life cycle assessment (LCA). In this study, we address this gap by outlining a new impact pathway within the life cycle impact assessment framework that links greenhouse gas (GHG) emissions to ecosystem damages via climate change-induced SLR for 244 different GHGs. We use the latest global digital terrain model with corrected referencing between sea level and coastal elevation for a new globally differentiated and open-source flood model predicting the areas flooded by SLR with a spatial resolution of 1 arc-second (∼30 m). The effects on ecosystems are quantified by computing the potentially disappeared fraction of species caused by flooding in coastal ecoregions worldwide for five terrestrial taxa. A spatial analysis of the results shows that vascular plants and reptiles face the highest extinction risks from SLR, with regional hot spots identified in Central America and across many islands of Southeast Asia. We recommend integrating the developed impact pathway into the LCA framework to better capture impacts to species-rich and particularly vulnerable coastal ecoregions.

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Cite

BibTeXRIS
BibTeX
@article{teutloff2026level,
  title = {{Sea Level Rise Damages on Ecosystem Quality─A Life Cycle Impact Pathway.}},
  author = {Nele Teutloff and Martin Dorber and Peter K R Holzapfel and Matthias Finkbeiner and Alexis Laurent},
  journal = {Environmental science \& technology},
  year = {2026},
  month = oct,
  doi = {10.1021/acs.est.6c04798},
  url = {https://europepmc.org/article/MED/42915974},
  note = {CC BY},
}
RIS
TY  - JOUR
TI  - Sea Level Rise Damages on Ecosystem Quality─A Life Cycle Impact Pathway.
AU  - Nele Teutloff
AU  - Martin Dorber
AU  - Peter K R Holzapfel
AU  - Matthias Finkbeiner
AU  - Alexis Laurent
PY  - 2026
DA  - 2026/10/01
JO  - Environmental science & technology
DO  - 10.1021/acs.est.6c04798
UR  - https://europepmc.org/article/MED/42915974
AB  - Climate change causes species extinction not only by the direct increase in surface temperatures but also by indirect mechanisms, like sea level rise (SLR). These indirect mechanisms are rarely integrated into environmental impact assessment methods, such as life cycle assessment (LCA). In this study, we address this gap by outlining a new impact pathway within the life cycle impact assessment framework that links greenhouse gas (GHG) emissions to ecosystem damages via climate change-induced SLR for 244 different GHGs. We use the latest global digital terrain model with corrected referencing between sea level and coastal elevation for a new globally differentiated and open-source flood model predicting the areas flooded by SLR with a spatial resolution of 1 arc-second (∼30 m). The effects on ecosystems are quantified by computing the potentially disappeared fraction of species caused by flooding in coastal ecoregions worldwide for five terrestrial taxa. A spatial analysis of the results shows that vascular plants and reptiles face the highest extinction risks from SLR, with regional hot spots identified in Central America and across many islands of Southeast Asia. We recommend integrating the developed impact pathway into the LCA framework to better capture impacts to species-rich and particularly vulnerable coastal ecoregions.
SN  - 0013-936X
SN  - 1520-5851
ER  -