Abstract

The soil in terrestrial and coastal blue carbon ecosystems is an important carbon sink. National carbon inventories require accurate assessments of soil carbon in these ecosystems to aid conservation, preservation, and nature-based climate change mitigation strategies. Here we harmonise measurements from Australia’s terrestrial and blue carbon ecosystems and apply multi-scale machine learning to derive spatially explicit estimates of soil carbon stocks and the environmental drivers of variation. We find that climate and vegetation are the primary drivers of variation at the continental scale, while ecosystem type, terrain, clay content, mineralogy and nutrients drive subregional variations. We estimate that in the top 0–30 cm soil layer, terrestrial ecosystems hold 27.6 Gt (19.6–39.0 Gt), and blue carbon ecosystems 0.35 Gt (0.20–0.62 Gt). Tall open eucalypt and mangrove forests have the largest soil carbon content by area, while eucalypt woodlands and hummock grasslands have the largest total carbon stock due to the vast areas they occupy. Our findings suggest these are essential ecosystems for conservation, preservation, emissions avoidance, and climate change mitigation because of the additional co-benefits they provide.

Multi-scale spatial machine learning of soil carbon stocks in Australia’s terrestrial and coastal marine ecosystems reveals eight bio-regions and their underlying subregional drivers that can help inform strategies for conservation and climate change mitigation.

Details

Title
Multi-scale mapping of Australia’s terrestrial and blue carbon stocks and their continental and bioregional drivers
Author
Walden, Lewis 1   VIAFID ORCID Logo  ; Serrano, Oscar 2   VIAFID ORCID Logo  ; Zhang, Mingxi 1 ; Shen, Zefang 1   VIAFID ORCID Logo  ; Sippo, James Z. 3 ; Bennett, Lauren T. 4   VIAFID ORCID Logo  ; Maher, Damien T. 3   VIAFID ORCID Logo  ; Lovelock, Catherine E. 5   VIAFID ORCID Logo  ; Macreadie, Peter I. 6   VIAFID ORCID Logo  ; Gorham, Connor 7 ; Lafratta, Anna 7 ; Lavery, Paul S. 7   VIAFID ORCID Logo  ; Mosley, Luke 8 ; Reithmaier, Gloria M. S. 9   VIAFID ORCID Logo  ; Kelleway, Jeffrey J. 10 ; Dittmann, Sabine 11   VIAFID ORCID Logo  ; Adame, Fernanda 12   VIAFID ORCID Logo  ; Duarte, Carlos M. 13   VIAFID ORCID Logo  ; Gallagher, John Barry 14   VIAFID ORCID Logo  ; Waryszak, Pawel 6   VIAFID ORCID Logo  ; Carnell, Paul 6   VIAFID ORCID Logo  ; Kasel, Sabine 4   VIAFID ORCID Logo  ; Hinko-Najera, Nina 4 ; Hassan, Rakib 15 ; Goddard, Madeline 16   VIAFID ORCID Logo  ; Jones, Alice R. 17 ; Viscarra Rossel, Raphael A. 1   VIAFID ORCID Logo 

 Curtin University, Soil & Landscape Science, School of Molecular & Life Sciences, Faculty of Science & Engineering, Perth, Australia (GRID:grid.1032.0) (ISNI:0000 0004 0375 4078) 
 Consejo Superior de Investigaciones Científicas, Centro de Estudios Avanzados de Blanes, Blanes, Spain (GRID:grid.4711.3) (ISNI:0000 0001 2183 4846); Edith Cowan University, School of Science & Centre for Marine Ecosystems Research, Joondalup, Australia (GRID:grid.1038.a) (ISNI:0000 0004 0389 4302) 
 Southern Cross University, Faculty of Science & Engineering, Lismore, Australia (GRID:grid.1031.3) (ISNI:0000000121532610) 
 The University of Melbourne, School of Ecosystem and Forest Sciences, Melbourne, Australia (GRID:grid.1008.9) (ISNI:0000 0001 2179 088X) 
 The University of Queensland, School of Biological Sciences, Brisbane, Australia (GRID:grid.1003.2) (ISNI:0000 0000 9320 7537) 
 Deakin University, Centre for Integrative Ecology, School of Life and Environmental Sciences, Waurn Ponds, Australia (GRID:grid.1021.2) (ISNI:0000 0001 0526 7079) 
 Edith Cowan University, School of Science & Centre for Marine Ecosystems Research, Joondalup, Australia (GRID:grid.1038.a) (ISNI:0000 0004 0389 4302) 
 University of Adelaide, School of Agriculture, Food and Wine, Urrbrae, Australia (GRID:grid.1010.0) (ISNI:0000 0004 1936 7304) 
 University of Gothenburg, Department of Marine Sciences, Gothenburg, Sweden (GRID:grid.8761.8) (ISNI:0000 0000 9919 9582) 
10  University of Wollongong, School of Earth, Atmospheric and Life Sciences, and Environmental Futures Research Centre, Wollongong, Australia (GRID:grid.1007.6) (ISNI:0000 0004 0486 528X) 
11  Flinders University, College of Science & Engineering, Adelaide, Australia (GRID:grid.1014.4) (ISNI:0000 0004 0367 2697) 
12  Griffith University, Australian Rivers Institute, Centre for Marine and Coastal Research, Southport, Australia (GRID:grid.1022.1) (ISNI:0000 0004 0437 5432) 
13  King Abdullah University of Science and Technology, Red Sea Research Center and Computational Biosciences Research Center, Thuwal, Saudi Arabia (GRID:grid.45672.32) (ISNI:0000 0001 1926 5090) 
14  University of Tasmania, Institute of Marine and Antarctic Studies, Tasmania, Australia (GRID:grid.1009.8) (ISNI:0000 0004 1936 826X) 
15  Curtin University, Curtin Institute for Computation, Perth, Australia (GRID:grid.1032.0) (ISNI:0000 0004 0375 4078); Geoscience Australia, Canberra, Australia (GRID:grid.452453.1) (ISNI:0000 0004 0606 1752) 
16  Charles Darwin University, Research Institute for the Environment and Livelihoods, Darwin, Australia (GRID:grid.1043.6) (ISNI:0000 0001 2157 559X) 
17  University of Adelaide, School of Biological Sciences and Environment Institute, Adelaide, Australia (GRID:grid.1010.0) (ISNI:0000 0004 1936 7304) 
Pages
189
Publication year
2023
Publication date
Dec 2023
Publisher
Nature Publishing Group
e-ISSN
26624435
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2821509319
Copyright
© The Author(s) 2023. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.