Effects of conservation practices on agricultural sustainability

He, Qinsi

Effects of conservation practices on agricultural sustainability

He, Qinsi

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Publication Type:: Thesis
Issue Date:: 2024

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Field	Value	Language
dc.contributor.author	He, Qinsi
dc.date.accessioned	2025-04-03T03:20:17Z
dc.date.available	2025-04-03T03:20:17Z
dc.date.issued	2024
dc.identifier.uri	http://hdl.handle.net/10453/186552
dc.description	University of Technology Sydney. Faculty of Science.	en_US.UTF-8
dc.description.abstract	Conservation agriculture, as a sustainable farming system comprising a set of farming practices, has garnered considerable attention worldwide. In this context, this thesis utilized the pre-validated APSIM model, driven by statistically downscaled daily climate data from 27 Global Climate Models under two Shared Socioeconomic Pathways (SSP245 and SSP585), to quantitatively assess the effects of various conservation practices on crop production and profitability, soil carbon sequestration, nitrous oxide emissions, and other environmental factors in the Riverina region of New South Wales (NSW) under climate change. Moreover, the APSIM outputs were combined with footprint methods to investigate the food-energy-water-carbon composite sustainability of these practices, informing region-specific optimal strategies across three sub-regions of NSW. Furthermore, given the uncertain impacts of cover crops founded in the above results, a global meta-analysis was conducted to evaluate the effects of legume and non-legume cover crops on soil organic carbon, main crop yield and nitrous oxide emissions, and a machine learning approach was used to identify the best opportunities for promoting different cover crops. This study confirmed the potential of crop rotation and residue retention practices for climate change mitigation and adaptation in NSW cropland and highlighted the context-based performance of incorporating different types of cover crops.	en_US.UTF-8
dc.format	Thesis (PhD)
dc.language.iso	en_US	en_US.UTF-8
dc.relation	https://opus.lib.uts.edu.au/bitstream/10453/186552/1/thesis.pdf
dc.rights	info:eu-repo/semantics/openAccess
dc.rights	The author owns the copyright in this thesis including all reproduction and reuse rights for the work. The work may not be altered without the permission of the copyright owner. Attribution is essential when quoting or paraphrasing from this thesis.
dc.rights	© 2024 Qinsi He
dc.rights	au.edu.uts.lib/cph
dc.title	Effects of conservation practices on agricultural sustainability	en_US.UTF-8
dc.type	Thesis
utslib.copyright.status	open_access	*

Abstract:

Conservation agriculture, as a sustainable farming system comprising a set of farming practices, has garnered considerable attention worldwide. In this context, this thesis utilized the pre-validated APSIM model, driven by statistically downscaled daily climate data from 27 Global Climate Models under two Shared Socioeconomic Pathways (SSP245 and SSP585), to quantitatively assess the effects of various conservation practices on crop production and profitability, soil carbon sequestration, nitrous oxide emissions, and other environmental factors in the Riverina region of New South Wales (NSW) under climate change. Moreover, the APSIM outputs were combined with footprint methods to investigate the food-energy-water-carbon composite sustainability of these practices, informing region-specific optimal strategies across three sub-regions of NSW. Furthermore, given the uncertain impacts of cover crops founded in the above results, a global meta-analysis was conducted to evaluate the effects of legume and non-legume cover crops on soil organic carbon, main crop yield and nitrous oxide emissions, and a machine learning approach was used to identify the best opportunities for promoting different cover crops. This study confirmed the potential of crop rotation and residue retention practices for climate change mitigation and adaptation in NSW cropland and highlighted the context-based performance of incorporating different types of cover crops.

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http://hdl.handle.net/10453/186552