Water and nitrogen use and productivity of dryland mixed farming system under climate change

Z. K. Wang; D. L. Liu; B. Wang; A. Cowie

Water and nitrogen use and productivity of dryland mixed farming system under climate change

Z. K. Wang
, D. L. Liu
, B. Wang
, A. Cowie

Lanzhou University
NSW Department of Primary Industries
University of New South Wales
University of New England

Research output: Chapter in Book / Conference Paper › Conference Paper › peer-review

Abstract

Mixed farming comprising crop, pasture and livestock is more self-sufficient and has lower environmental costs than crop farming system. Mechanisms contributing to yield advantage in mixed system is unclear, water and nitrogen balances in mixed system under changing climate is not well assessed. This study used the pre-validated APSIM model, driven by climate data from 27 Global Climate Models (GCMs) under two Shared Socioeconomic Pathways (SSP245 and SSP585). Six mixed farming system including lucerne pasture, livestock and different crop rotation (WCWC, WFWC, WFWO, WWB, WWC, and WWO) were simulated, pure crop rotations were set as the benchmark. The effects of pasture crop and sheep grazing on soil water and nitrogen balances and crop productivity in mixed farming were assessed during the historical period (1985-2008), near future (NF, 2033-2056), and far future (FF, 2057-2080) in Riverina, southeast Australia.

Original language	English
Title of host publication	Proceedings of the 25th International Congress on Modelling and Simulation, MODSIM 2023
Editors	Jai Vaze, Chris Chilcott, Lindsay Hutley, Susan M. Cuddy
Publisher	Modelling and Simulation Society of Australia and New Zealand Inc. (MSSANZ)
Pages	1018-1024
Number of pages	7
ISBN (Electronic)	9780987214300
Publication status	Published - 2023
Externally published	Yes
Event	25th International Congress on Modelling and Simulation, MODSIM 2023 - Darwin, Australia Duration: 9 Jul 2023 → 14 Jul 2023

Publication series

Name	Proceedings of the International Congress on Modelling and Simulation, MODSIM
ISSN (Electronic)	2981-8001

Conference

Conference	25th International Congress on Modelling and Simulation, MODSIM 2023
Country/Territory	Australia
City	Darwin
Period	9/07/23 → 14/07/23

Bibliographical note

Publisher Copyright:
© 2023 Proceedings of the International Congress on Modelling and Simulation, MODSIM. All rights reserved.

UN SDGs

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

SDG 2 Zero Hunger
SDG 8 Decent Work and Economic Growth

Keywords

Farming system modeling
mixed farming
temporal resources facilitation
water use efficiency

Cite this

Wang, Z. K., Liu, D. L., Wang, B., & Cowie, A. (2023). Water and nitrogen use and productivity of dryland mixed farming system under climate change. In J. Vaze, C. Chilcott, L. Hutley, & S. M. Cuddy (Eds.), Proceedings of the 25th International Congress on Modelling and Simulation, MODSIM 2023 (pp. 1018-1024). (Proceedings of the International Congress on Modelling and Simulation, MODSIM). Modelling and Simulation Society of Australia and New Zealand Inc. (MSSANZ).

Wang, Z. K. ; Liu, D. L. ; Wang, B. et al. / Water and nitrogen use and productivity of dryland mixed farming system under climate change. Proceedings of the 25th International Congress on Modelling and Simulation, MODSIM 2023. editor / Jai Vaze ; Chris Chilcott ; Lindsay Hutley ; Susan M. Cuddy. Modelling and Simulation Society of Australia and New Zealand Inc. (MSSANZ), 2023. pp. 1018-1024 (Proceedings of the International Congress on Modelling and Simulation, MODSIM).

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title = "Water and nitrogen use and productivity of dryland mixed farming system under climate change",

abstract = "Mixed farming comprising crop, pasture and livestock is more self-sufficient and has lower environmental costs than crop farming system. Mechanisms contributing to yield advantage in mixed system is unclear, water and nitrogen balances in mixed system under changing climate is not well assessed. This study used the pre-validated APSIM model, driven by climate data from 27 Global Climate Models (GCMs) under two Shared Socioeconomic Pathways (SSP245 and SSP585). Six mixed farming system including lucerne pasture, livestock and different crop rotation (WCWC, WFWC, WFWO, WWB, WWC, and WWO) were simulated, pure crop rotations were set as the benchmark. The effects of pasture crop and sheep grazing on soil water and nitrogen balances and crop productivity in mixed farming were assessed during the historical period (1985-2008), near future (NF, 2033-2056), and far future (FF, 2057-2080) in Riverina, southeast Australia.",

keywords = "Farming system modeling, mixed farming, temporal resources facilitation, water use efficiency",

author = "Wang, \{Z. K.\} and Liu, \{D. L.\} and B. Wang and A. Cowie",

note = "Publisher Copyright: {\textcopyright} 2023 Proceedings of the International Congress on Modelling and Simulation, MODSIM. All rights reserved.; 25th International Congress on Modelling and Simulation, MODSIM 2023 ; Conference date: 09-07-2023 Through 14-07-2023",

year = "2023",

language = "English",

series = "Proceedings of the International Congress on Modelling and Simulation, MODSIM",

publisher = "Modelling and Simulation Society of Australia and New Zealand Inc. (MSSANZ)",

pages = "1018--1024",

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}

Wang, ZK, Liu, DL, Wang, B & Cowie, A 2023, Water and nitrogen use and productivity of dryland mixed farming system under climate change. in J Vaze, C Chilcott, L Hutley & SM Cuddy (eds), Proceedings of the 25th International Congress on Modelling and Simulation, MODSIM 2023. Proceedings of the International Congress on Modelling and Simulation, MODSIM, Modelling and Simulation Society of Australia and New Zealand Inc. (MSSANZ), pp. 1018-1024, 25th International Congress on Modelling and Simulation, MODSIM 2023, Darwin, Australia, 9/07/23.

Water and nitrogen use and productivity of dryland mixed farming system under climate change. / Wang, Z. K.; Liu, D. L.; Wang, B. et al.
Proceedings of the 25th International Congress on Modelling and Simulation, MODSIM 2023. ed. / Jai Vaze; Chris Chilcott; Lindsay Hutley; Susan M. Cuddy. Modelling and Simulation Society of Australia and New Zealand Inc. (MSSANZ), 2023. p. 1018-1024 (Proceedings of the International Congress on Modelling and Simulation, MODSIM).

Research output: Chapter in Book / Conference Paper › Conference Paper › peer-review

TY - GEN

T1 - Water and nitrogen use and productivity of dryland mixed farming system under climate change

AU - Wang, Z. K.

AU - Liu, D. L.

AU - Wang, B.

AU - Cowie, A.

PY - 2023

Y1 - 2023

N2 - Mixed farming comprising crop, pasture and livestock is more self-sufficient and has lower environmental costs than crop farming system. Mechanisms contributing to yield advantage in mixed system is unclear, water and nitrogen balances in mixed system under changing climate is not well assessed. This study used the pre-validated APSIM model, driven by climate data from 27 Global Climate Models (GCMs) under two Shared Socioeconomic Pathways (SSP245 and SSP585). Six mixed farming system including lucerne pasture, livestock and different crop rotation (WCWC, WFWC, WFWO, WWB, WWC, and WWO) were simulated, pure crop rotations were set as the benchmark. The effects of pasture crop and sheep grazing on soil water and nitrogen balances and crop productivity in mixed farming were assessed during the historical period (1985-2008), near future (NF, 2033-2056), and far future (FF, 2057-2080) in Riverina, southeast Australia.

AB - Mixed farming comprising crop, pasture and livestock is more self-sufficient and has lower environmental costs than crop farming system. Mechanisms contributing to yield advantage in mixed system is unclear, water and nitrogen balances in mixed system under changing climate is not well assessed. This study used the pre-validated APSIM model, driven by climate data from 27 Global Climate Models (GCMs) under two Shared Socioeconomic Pathways (SSP245 and SSP585). Six mixed farming system including lucerne pasture, livestock and different crop rotation (WCWC, WFWC, WFWO, WWB, WWC, and WWO) were simulated, pure crop rotations were set as the benchmark. The effects of pasture crop and sheep grazing on soil water and nitrogen balances and crop productivity in mixed farming were assessed during the historical period (1985-2008), near future (NF, 2033-2056), and far future (FF, 2057-2080) in Riverina, southeast Australia.

KW - Farming system modeling

KW - mixed farming

KW - temporal resources facilitation

KW - water use efficiency

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M3 - Conference Paper

AN - SCOPUS:85185217162

T3 - Proceedings of the International Congress on Modelling and Simulation, MODSIM

SP - 1018

EP - 1024

BT - Proceedings of the 25th International Congress on Modelling and Simulation, MODSIM 2023

A2 - Vaze, Jai

A2 - Chilcott, Chris

A2 - Hutley, Lindsay

A2 - Cuddy, Susan M.

PB - Modelling and Simulation Society of Australia and New Zealand Inc. (MSSANZ)

T2 - 25th International Congress on Modelling and Simulation, MODSIM 2023

Y2 - 9 July 2023 through 14 July 2023

ER -

Wang ZK, Liu DL, Wang B, Cowie A. Water and nitrogen use and productivity of dryland mixed farming system under climate change. In Vaze J, Chilcott C, Hutley L, Cuddy SM, editors, Proceedings of the 25th International Congress on Modelling and Simulation, MODSIM 2023. Modelling and Simulation Society of Australia and New Zealand Inc. (MSSANZ). 2023. p. 1018-1024. (Proceedings of the International Congress on Modelling and Simulation, MODSIM).

Water and nitrogen use and productivity of dryland mixed farming system under climate change

Abstract

Publication series

Conference

Bibliographical note

UN SDGs

Keywords

Other files and links

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Cite this