Multi-scale mapping of Australia’s terrestrial and blue carbon stocks and their continental and bioregional drivers

Lewis Walden; Oscar Serrano; Mingxi Zhang; Zefang Shen; James Z. Sippo; Lauren T. Bennett; Damien T. Maher; Catherine E Lovelock; Peter I Macreadie; Connor Gorham; Anna Lafratta; P. S. Lavery; Luke Mosley; Gloria M. S. Reithmaier; Jeffrey J. Kelleway; Sabine Dittmann; Fernanda Adame; Carlos M. Duarte; John Barry Gallagher; Pawel Waryszak; Paul Carnell; Sabine Kasel; Nina Hinko-Najera; Rakib Hassan; Madeline Goddard; Alice R. Jones; Raphael A. Viscarra Rossel

doi:10.1038/s43247-023-00838-x

Multi-scale mapping of Australia’s terrestrial and blue carbon stocks and their continental and bioregional drivers

Lewis Walden, Oscar Serrano, Mingxi Zhang, Zefang Shen, James Z. Sippo, Lauren T. Bennett, Damien T. Maher, Catherine E Lovelock, Peter I Macreadie, Connor Gorham, Anna Lafratta, P. S. Lavery, Luke Mosley, Gloria M. S. Reithmaier, Jeffrey J. Kelleway, Sabine Dittmann, Fernanda Adame, Carlos M. Duarte, John Barry Gallagher, Pawel WaryszakPaul Carnell, Sabine Kasel, Nina Hinko-Najera, Rakib Hassan, Madeline Goddard, Alice R. Jones, Raphael A. Viscarra Rossel

Research output: Contribution to journal › Article › peer-review

9 Scopus citations

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.

Original language	English (US)
Journal	Communications Earth & Environment
Volume	4
Issue number	1
DOIs	https://doi.org/10.1038/s43247-023-00838-x
State	Published - Jun 1 2023

Bibliographical note

KAUST Repository Item: Exported on 2023-06-06
Acknowledgements: R.A.V.R., L.W., Z.S., and O.S. thank the Australian Government for funding this research via grant ACSRIV000077. O.S. thanks the additional support of I+D+i projects RYC2019-027073-I and PIE HOLOCENO 20213AT014 funded by MCIN/AEI/10.13039/501100011033 and FEDER20213AT014. We thank contributions from Dr. Andy Stevens, Lindsay Hutley, and the many colleagues who contributed to the collection of soil samples and data used in this research. This work is supported by the use of (i) Terrestrial Ecosystem Research Network (TERN) infrastructure, which is enabled by the Australian Government’s National Collaborative Research Infrastructure Strategy (NCRIS) and (ii) computational resources in the Pawsey Supercomputing Centre, which is funded by the Australian Government and the Government of Western Australia.

UN SDGs

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

Access to Document

10.1038/s43247-023-00838-x

https://repository.kaust.edu.sa/bitstream/10754/692388/1/s43247-023-00838-x.pdf

Cite this

Walden, L., Serrano, O., Zhang, M., Shen, Z., Sippo, J. Z., Bennett, L. T., Maher, D. T., Lovelock, C. E., Macreadie, P. I., Gorham, C., Lafratta, A., Lavery, P. S., Mosley, L., Reithmaier, G. M. S., Kelleway, J. J., Dittmann, S., Adame, F., Duarte, C. M., Gallagher, J. B., ... Viscarra Rossel, R. A. (2023). Multi-scale mapping of Australia’s terrestrial and blue carbon stocks and their continental and bioregional drivers. Communications Earth & Environment, 4(1). https://doi.org/10.1038/s43247-023-00838-x

@article{7294bf8308b644efa014c63ab4c47361,

title = "Multi-scale mapping of Australia{\textquoteright}s terrestrial and blue carbon stocks and their continental and bioregional drivers",

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{\textquoteright}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.",

author = "Lewis Walden and Oscar Serrano and Mingxi Zhang and Zefang Shen and Sippo, {James Z.} and Bennett, {Lauren T.} and Maher, {Damien T.} and Lovelock, {Catherine E} and Macreadie, {Peter I} and Connor Gorham and Anna Lafratta and Lavery, {P. S.} and Luke Mosley and Reithmaier, {Gloria M. S.} and Kelleway, {Jeffrey J.} and Sabine Dittmann and Fernanda Adame and Duarte, {Carlos M.} and Gallagher, {John Barry} and Pawel Waryszak and Paul Carnell and Sabine Kasel and Nina Hinko-Najera and Rakib Hassan and Madeline Goddard and Jones, {Alice R.} and {Viscarra Rossel}, {Raphael A.}",

note = "KAUST Repository Item: Exported on 2023-06-06 Acknowledgements: R.A.V.R., L.W., Z.S., and O.S. thank the Australian Government for funding this research via grant ACSRIV000077. O.S. thanks the additional support of I+D+i projects RYC2019-027073-I and PIE HOLOCENO 20213AT014 funded by MCIN/AEI/10.13039/501100011033 and FEDER20213AT014. We thank contributions from Dr. Andy Stevens, Lindsay Hutley, and the many colleagues who contributed to the collection of soil samples and data used in this research. This work is supported by the use of (i) Terrestrial Ecosystem Research Network (TERN) infrastructure, which is enabled by the Australian Government{\textquoteright}s National Collaborative Research Infrastructure Strategy (NCRIS) and (ii) computational resources in the Pawsey Supercomputing Centre, which is funded by the Australian Government and the Government of Western Australia.",

year = "2023",

month = jun,

day = "1",

doi = "10.1038/s43247-023-00838-x",

language = "English (US)",

volume = "4",

journal = "Communications Earth & Environment",

issn = "2662-4435",

publisher = "Springer Nature",

number = "1",

}

Walden, L, Serrano, O, Zhang, M, Shen, Z, Sippo, JZ, Bennett, LT, Maher, DT, Lovelock, CE, Macreadie, PI, Gorham, C, Lafratta, A, Lavery, PS, Mosley, L, Reithmaier, GMS, Kelleway, JJ, Dittmann, S, Adame, F, Duarte, CM, Gallagher, JB, Waryszak, P, Carnell, P, Kasel, S, Hinko-Najera, N, Hassan, R, Goddard, M, Jones, AR & Viscarra Rossel, RA 2023, 'Multi-scale mapping of Australia’s terrestrial and blue carbon stocks and their continental and bioregional drivers', Communications Earth & Environment, vol. 4, no. 1. https://doi.org/10.1038/s43247-023-00838-x

TY - JOUR

T1 - Multi-scale mapping of Australia’s terrestrial and blue carbon stocks and their continental and bioregional drivers

AU - Walden, Lewis

AU - Serrano, Oscar

AU - Zhang, Mingxi

AU - Shen, Zefang

AU - Sippo, James Z.

AU - Bennett, Lauren T.

AU - Maher, Damien T.

AU - Lovelock, Catherine E

AU - Macreadie, Peter I

AU - Gorham, Connor

AU - Lafratta, Anna

AU - Lavery, P. S.

AU - Mosley, Luke

AU - Reithmaier, Gloria M. S.

AU - Kelleway, Jeffrey J.

AU - Dittmann, Sabine

AU - Adame, Fernanda

AU - Duarte, Carlos M.

AU - Gallagher, John Barry

AU - Waryszak, Pawel

AU - Carnell, Paul

AU - Kasel, Sabine

AU - Hinko-Najera, Nina

AU - Hassan, Rakib

AU - Goddard, Madeline

AU - Jones, Alice R.

AU - Viscarra Rossel, Raphael A.

N1 - KAUST Repository Item: Exported on 2023-06-06 Acknowledgements: R.A.V.R., L.W., Z.S., and O.S. thank the Australian Government for funding this research via grant ACSRIV000077. O.S. thanks the additional support of I+D+i projects RYC2019-027073-I and PIE HOLOCENO 20213AT014 funded by MCIN/AEI/10.13039/501100011033 and FEDER20213AT014. We thank contributions from Dr. Andy Stevens, Lindsay Hutley, and the many colleagues who contributed to the collection of soil samples and data used in this research. This work is supported by the use of (i) Terrestrial Ecosystem Research Network (TERN) infrastructure, which is enabled by the Australian Government’s National Collaborative Research Infrastructure Strategy (NCRIS) and (ii) computational resources in the Pawsey Supercomputing Centre, which is funded by the Australian Government and the Government of Western Australia.

PY - 2023/6/1

Y1 - 2023/6/1

N2 - 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.

AB - 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.

UR - http://hdl.handle.net/10754/692388

UR - https://www.nature.com/articles/s43247-023-00838-x

U2 - 10.1038/s43247-023-00838-x

DO - 10.1038/s43247-023-00838-x

M3 - Article

SN - 2662-4435

VL - 4

JO - Communications Earth & Environment

JF - Communications Earth & Environment

IS - 1

ER -

Multi-scale mapping of Australia’s terrestrial and blue carbon stocks and their continental and bioregional drivers

Abstract

Bibliographical note

UN SDGs

Access to Document

Other files and links

Fingerprint

Multi-scale mapping of Australia's terrestrial and blue carbon stocks and their bioregional environmental drivers

Cite this

Multi-scale mapping of Australia’s terrestrial and blue carbon stocks and their continental and bioregional drivers

Abstract

Bibliographical note

UN SDGs

Access to Document

Other files and links

Fingerprint

Datasets

Multi-scale mapping of Australia's terrestrial and blue carbon stocks and their bioregional environmental drivers

Cite this