Abstract
Mangroves of the wet-dry tropical Gulf of Carpentaria, Australia, survive in a harsh environment. One of the worst recorded mangrove dieback events occurred during the El Niño of 2015 following an extreme, two-year sea level drop, illustrating that enhanced climate variability can exacerbate major stressors for these ecosystems. As well as sea level variability, maximum daily temperatures in the Gulf of Carpentaria are also linked to climate variability and change, and may play an important role in overall mangrove health. Here we address how these two factors: sea level variability and maximum daily temperatures, are projected to change under several future emissions scenarios. Climate projections from the sixth generation of Coupled Model Intercomparison Project indicate an increased occurrence of anomalously low and high sea level events in the coming century. This, alongside enhanced temperature stress, is likely to significantly increase risk to mangrove health in this region. The rate of increase of low and high sea level events, and high temperature events, is scenario-dependent, and is largest for a high-emissions scenario.
Original language | English |
---|---|
Article number | 192 |
Pages (from-to) | 1-8 |
Number of pages | 8 |
Journal | Communications Earth and Environment |
Volume | 4 |
Issue number | 1 |
DOIs | |
Publication status | Published - Dec 2023 |
Bibliographical note
Funding Information:The authors wish to thank anonymous reviewers, Claire Spillman, Sugata Narsey, and David Jones for helpful reviews of the manuscript. The authors are also grateful to Francois Delage for processing, and regridding the CMIP6 data, and for providing scripts to read in the data. We also thank Francois Delage, Sugata Narsey, and Ghyslaine Boschat for useful discussions on statistical and data visualisation methods. The authors also thank Wasyl Drosdowsky for his work exploring the timing of the tides in the Gulf, Abhik Santra, Marycarmen Martinez-Diaz and Ruth Reef for useful discussions. We thank the Northern Territory Government of Australia for their partial funding of this project. This project was supported with funding from the Australian Government’s National Environmental Science Program and undertaken with the assistance of resources and services from the National Computational Infrastructure (NCI), which is supported by the Australian Government.
Publisher Copyright:
© 2023, Crown.