Zhihao Tan , Peter de Voil , Jiongchao Zhao , Dongxue Zhao , Hamish McGowan , Liujun Xiao , Daniel Rodriguez
{"title":"谷物种植农场实现净零排放的途径","authors":"Zhihao Tan , Peter de Voil , Jiongchao Zhao , Dongxue Zhao , Hamish McGowan , Liujun Xiao , Daniel Rodriguez","doi":"10.1016/j.agsy.2025.104401","DOIUrl":null,"url":null,"abstract":"<div><h3>CONTEXT</h3><div>Markets and society increasingly demand food production systems that better balance production, profits, and environmental outcomes. Alternative pathways towards achieving NetZero emissions in grain cropping farms can be expected to have benefits and trade-offs across the multiple dimensions of sustainable agriculture, e.g., profits, environment, society and risks.</div></div><div><h3>OBJECTIVES</h3><div>To (i) incorporate capabilities in a whole-farm model to simulate cradle-to-farm gate boundary greenhouse gas emissions, (ii) use a whole-farm model to estimate trade-offs between pathways towards NetZero on three case study farms of Queensland Australia under historical and expected future climate scenarios, and (iii) analyse the influence of site conditions across the main grain growing regions of Queensland Australia on GHG emissions, gross margin (GM), risks, and the need for offsets.</div></div><div><h3>METHODS</h3><div>Using expert consultations and literature analysis we parameterised the whole farm modelling framework APSFarm NextGen and quantified NetZero pathways for grain farms. The model was used to simulate six farm management strategies, including (i) opportunistic, (ii) rigid, (iii) conventional high input strategy, (iv) conservation, (v) agroecology, and (vi) a NetZero approach that used afforestation as an offset. Historical climate (1970–2019), and 2021–2070 climate projections were used together with three Shared Socioeconomic Pathways (SSP): SSP126, SSP245, and SSP585. We assessed site conditions i.e., soil and climate, on gross margin, downside risks, and GHG emissions.</div></div><div><h3>RESULTS AND CONCLUSIONS</h3><div>The mitigation strategies tested here reduced GHG emission intensities but wouldn't achieve Net Zero emissions. Across three case study sites, between 4 % and 14 % of the farm area would need to be afforested to achieve NetZero. NetZero strategies showed, on average, 10.5 % lower GM than the baseline strategies (opportunistic and rigid strategy). This economic impact is equivalent to 2.98 Australian Carbon Credit Units, based on Q1 2024 prices. Under future climate scenarios, achieving NetZero farms will require larger afforestation areas. Environmental factors influenced the outputs: GHG emissions were positively correlated with mean air temperatures, annual precipitation, and soil bulk density. As expected, GM was positively correlated with an aridity index i.e., higher GM in wetter environments. Downside risk, i.e., the probability of achieving a negative return, was negatively correlated with aridity index, i.e., lower risks in wetter environments.</div></div><div><h3>SIGNIFICANCE</h3><div>Achieving NetZero in Australia's grain farms is likely to require offsetting emissions and factoring in lower profits. Model outputs could be used to inform expected trade-offs between economic and environmental outcomes in agriculture's pathways towards NetZero. The APSFarm NextGen model can be easily adapted to be applied to other grain production systems, countries, and regions.</div></div>","PeriodicalId":7730,"journal":{"name":"Agricultural Systems","volume":"229 ","pages":"Article 104401"},"PeriodicalIF":6.1000,"publicationDate":"2025-06-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Pathways towards Net Zero emissions in grain cropping farms\",\"authors\":\"Zhihao Tan , Peter de Voil , Jiongchao Zhao , Dongxue Zhao , Hamish McGowan , Liujun Xiao , Daniel Rodriguez\",\"doi\":\"10.1016/j.agsy.2025.104401\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><h3>CONTEXT</h3><div>Markets and society increasingly demand food production systems that better balance production, profits, and environmental outcomes. Alternative pathways towards achieving NetZero emissions in grain cropping farms can be expected to have benefits and trade-offs across the multiple dimensions of sustainable agriculture, e.g., profits, environment, society and risks.</div></div><div><h3>OBJECTIVES</h3><div>To (i) incorporate capabilities in a whole-farm model to simulate cradle-to-farm gate boundary greenhouse gas emissions, (ii) use a whole-farm model to estimate trade-offs between pathways towards NetZero on three case study farms of Queensland Australia under historical and expected future climate scenarios, and (iii) analyse the influence of site conditions across the main grain growing regions of Queensland Australia on GHG emissions, gross margin (GM), risks, and the need for offsets.</div></div><div><h3>METHODS</h3><div>Using expert consultations and literature analysis we parameterised the whole farm modelling framework APSFarm NextGen and quantified NetZero pathways for grain farms. The model was used to simulate six farm management strategies, including (i) opportunistic, (ii) rigid, (iii) conventional high input strategy, (iv) conservation, (v) agroecology, and (vi) a NetZero approach that used afforestation as an offset. Historical climate (1970–2019), and 2021–2070 climate projections were used together with three Shared Socioeconomic Pathways (SSP): SSP126, SSP245, and SSP585. We assessed site conditions i.e., soil and climate, on gross margin, downside risks, and GHG emissions.</div></div><div><h3>RESULTS AND CONCLUSIONS</h3><div>The mitigation strategies tested here reduced GHG emission intensities but wouldn't achieve Net Zero emissions. Across three case study sites, between 4 % and 14 % of the farm area would need to be afforested to achieve NetZero. NetZero strategies showed, on average, 10.5 % lower GM than the baseline strategies (opportunistic and rigid strategy). This economic impact is equivalent to 2.98 Australian Carbon Credit Units, based on Q1 2024 prices. Under future climate scenarios, achieving NetZero farms will require larger afforestation areas. Environmental factors influenced the outputs: GHG emissions were positively correlated with mean air temperatures, annual precipitation, and soil bulk density. As expected, GM was positively correlated with an aridity index i.e., higher GM in wetter environments. Downside risk, i.e., the probability of achieving a negative return, was negatively correlated with aridity index, i.e., lower risks in wetter environments.</div></div><div><h3>SIGNIFICANCE</h3><div>Achieving NetZero in Australia's grain farms is likely to require offsetting emissions and factoring in lower profits. Model outputs could be used to inform expected trade-offs between economic and environmental outcomes in agriculture's pathways towards NetZero. The APSFarm NextGen model can be easily adapted to be applied to other grain production systems, countries, and regions.</div></div>\",\"PeriodicalId\":7730,\"journal\":{\"name\":\"Agricultural Systems\",\"volume\":\"229 \",\"pages\":\"Article 104401\"},\"PeriodicalIF\":6.1000,\"publicationDate\":\"2025-06-03\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Agricultural Systems\",\"FirstCategoryId\":\"97\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0308521X25001416\",\"RegionNum\":1,\"RegionCategory\":\"农林科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"AGRICULTURE, MULTIDISCIPLINARY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Agricultural Systems","FirstCategoryId":"97","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0308521X25001416","RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"AGRICULTURE, MULTIDISCIPLINARY","Score":null,"Total":0}
Pathways towards Net Zero emissions in grain cropping farms
CONTEXT
Markets and society increasingly demand food production systems that better balance production, profits, and environmental outcomes. Alternative pathways towards achieving NetZero emissions in grain cropping farms can be expected to have benefits and trade-offs across the multiple dimensions of sustainable agriculture, e.g., profits, environment, society and risks.
OBJECTIVES
To (i) incorporate capabilities in a whole-farm model to simulate cradle-to-farm gate boundary greenhouse gas emissions, (ii) use a whole-farm model to estimate trade-offs between pathways towards NetZero on three case study farms of Queensland Australia under historical and expected future climate scenarios, and (iii) analyse the influence of site conditions across the main grain growing regions of Queensland Australia on GHG emissions, gross margin (GM), risks, and the need for offsets.
METHODS
Using expert consultations and literature analysis we parameterised the whole farm modelling framework APSFarm NextGen and quantified NetZero pathways for grain farms. The model was used to simulate six farm management strategies, including (i) opportunistic, (ii) rigid, (iii) conventional high input strategy, (iv) conservation, (v) agroecology, and (vi) a NetZero approach that used afforestation as an offset. Historical climate (1970–2019), and 2021–2070 climate projections were used together with three Shared Socioeconomic Pathways (SSP): SSP126, SSP245, and SSP585. We assessed site conditions i.e., soil and climate, on gross margin, downside risks, and GHG emissions.
RESULTS AND CONCLUSIONS
The mitigation strategies tested here reduced GHG emission intensities but wouldn't achieve Net Zero emissions. Across three case study sites, between 4 % and 14 % of the farm area would need to be afforested to achieve NetZero. NetZero strategies showed, on average, 10.5 % lower GM than the baseline strategies (opportunistic and rigid strategy). This economic impact is equivalent to 2.98 Australian Carbon Credit Units, based on Q1 2024 prices. Under future climate scenarios, achieving NetZero farms will require larger afforestation areas. Environmental factors influenced the outputs: GHG emissions were positively correlated with mean air temperatures, annual precipitation, and soil bulk density. As expected, GM was positively correlated with an aridity index i.e., higher GM in wetter environments. Downside risk, i.e., the probability of achieving a negative return, was negatively correlated with aridity index, i.e., lower risks in wetter environments.
SIGNIFICANCE
Achieving NetZero in Australia's grain farms is likely to require offsetting emissions and factoring in lower profits. Model outputs could be used to inform expected trade-offs between economic and environmental outcomes in agriculture's pathways towards NetZero. The APSFarm NextGen model can be easily adapted to be applied to other grain production systems, countries, and regions.
期刊介绍:
Agricultural Systems is an international journal that deals with interactions - among the components of agricultural systems, among hierarchical levels of agricultural systems, between agricultural and other land use systems, and between agricultural systems and their natural, social and economic environments.
The scope includes the development and application of systems analysis methodologies in the following areas:
Systems approaches in the sustainable intensification of agriculture; pathways for sustainable intensification; crop-livestock integration; farm-level resource allocation; quantification of benefits and trade-offs at farm to landscape levels; integrative, participatory and dynamic modelling approaches for qualitative and quantitative assessments of agricultural systems and decision making;
The interactions between agricultural and non-agricultural landscapes; the multiple services of agricultural systems; food security and the environment;
Global change and adaptation science; transformational adaptations as driven by changes in climate, policy, values and attitudes influencing the design of farming systems;
Development and application of farming systems design tools and methods for impact, scenario and case study analysis; managing the complexities of dynamic agricultural systems; innovation systems and multi stakeholder arrangements that support or promote change and (or) inform policy decisions.