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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Sustain. Food Syst.</journal-id>
<journal-title>Frontiers in Sustainable Food Systems</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Sustain. Food Syst.</abbrev-journal-title>
<issn pub-type="epub">2571-581X</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fsufs.2025.1481149</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Sustainable Food Systems</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Research on the ecological&#x2013;economic effects of combined planting&#x2013;breeding modes: a case study of <italic>Zizania latifolia</italic>&#x2013;shelduck in China</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name><surname>Teng</surname> <given-names>Wangtengfei</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
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</contrib>
<contrib contrib-type="author">
<name><surname>Xu</surname> <given-names>Lidan</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
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</contrib>
<contrib contrib-type="author" corresp="yes">
<name><surname>Li</surname> <given-names>Zhidong</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="corresp" rid="c001"><sup>&#x002A;</sup></xref>
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<contrib contrib-type="author">
<name><surname>Liu</surname> <given-names>Moucheng</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
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<contrib contrib-type="author">
<name><surname>Rao</surname> <given-names>Didi</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
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<contrib contrib-type="author">
<name><surname>Wan</surname> <given-names>Qi</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
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<aff id="aff1"><sup>1</sup><institution>Key Laboratory of Applied Research on Tropical Crop Information Technology of Hainan Province, Institute of Scientific and Technical Information, Chinese Academy of Tropical Agricultural Sciences</institution>, <addr-line>Haikou</addr-line>, <country>China</country></aff>
<aff id="aff2"><sup>2</sup><institution>Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences</institution>, <addr-line>Beijing</addr-line>, <country>China</country></aff>
<author-notes>
<fn fn-type="edited-by" id="fn0001">
<p>Edited by: L&#x00F3;r&#x00E1;nt D&#x00E9;nes D&#x00E1;vid, John von Neumann University, Hungary</p>
</fn>
<fn fn-type="edited-by" id="fn0002">
<p>Reviewed by: Leonardo Alfredo Ornella, Cubiqfoods SL, Spain</p>
<p>Haoming Chen, Nanjing University of Science and Technology, China</p>
</fn>
<corresp id="c001">&#x002A;Correspondence: Zhidong Li, <email>lizhidong@catas.cn</email></corresp>
</author-notes>
<pub-date pub-type="epub">
<day>04</day>
<month>03</month>
<year>2025</year>
</pub-date>
<pub-date pub-type="collection">
<year>2025</year>
</pub-date>
<volume>9</volume>
<elocation-id>1481149</elocation-id>
<history>
<date date-type="received">
<day>15</day>
<month>08</month>
<year>2024</year>
</date>
<date date-type="accepted">
<day>17</day>
<month>02</month>
<year>2025</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x00A9; 2025 Teng, Xu, Li, Liu, Rao and Wan.</copyright-statement>
<copyright-year>2025</copyright-year>
<copyright-holder>Teng, Xu, Li, Liu, Rao and Wan</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/">
<p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</p>
</license>
</permissions>
<abstract>
<p>In the context of global climate change, it is crucial to adopt ecologically sound production practices to promote sustainable agricultural development. Combined rice&#x2013;fish, rice&#x2013;crab, and <italic>Zizania latifolia</italic> (ZL)&#x2013;shelduck modes are increasingly advocated by scholars because of the complex farmland landscapes and environmentally friendly nutrient cycles associated with these modes. In this study, a comprehensive evaluation of the ecological&#x2013;economic benefits of a combined planting&#x2013;breeding system in Jinyun, Zhejiang, China, was conducted via life cycle assessment (LCA) and cost&#x2013;benefit analysis on the basis of literature review and field research data. The following results were obtained. (1) The single-season total carbon footprint for the combined ZL&#x2013;shelduck planting&#x2013;breeding mode was 4062.19&#x202F;kg CO<sub>2</sub> eq/ha, whereas it was 4553.32&#x202F;kg CO<sub>2</sub> eq/ha for the ZL monoculture mode. Compared with those of the ZL monoculture mode, the carbon emissions of the combined ZL&#x2013;shelduck mode decreased by 10.79%, with agricultural inputs identified as the primary source of carbon emissions for both modes. (2) The net ecological and economic benefits of the combined planting&#x2013;breeding mode and the monoculture mode were 102,482.26 yuan/ha and 70,423.60 yuan/ha, respectively. Compared with those of the ZL monoculture mode, the net benefits significantly increased by 45.52% in the combined planting&#x2013;breeding mode. Notably, the sale of shelduck products and reductions in agricultural inputs and labor costs were important factors leading to the income gap between the two types of modes. This study not only provides a quantitative evaluation of the comprehensive ecological&#x2013;economic benefits of different agricultural production modes but also serves as an important reference for the introduction of relevant ecological compensation policies and the promotion of production and ecological win&#x2013;win in the future.</p>
</abstract>
<kwd-group>
<kwd>ecological agriculture</kwd>
<kwd>combined planting&#x2013;breeding modes</kwd>
<kwd>agricultural carbon footprint</kwd>
<kwd>agricultural heritage</kwd>
<kwd>ecological compensation</kwd>
</kwd-group>
<contract-sponsor id="cn1">National Natural Science Foundation of China<named-content content-type="fundref-id">10.13039/501100001809</named-content></contract-sponsor>
<counts>
<fig-count count="7"/>
<table-count count="4"/>
<equation-count count="5"/>
<ref-count count="67"/>
<page-count count="12"/>
<word-count count="8031"/>
</counts>
<custom-meta-wrap>
<custom-meta>
<meta-name>section-at-acceptance</meta-name>
<meta-value>Agroecology and Ecosystem Services</meta-value>
</custom-meta>
</custom-meta-wrap>
</article-meta>
</front>
<body>
<sec sec-type="intro" id="sec1">
<label>1</label>
<title>Introduction</title>
<p>Agricultural production modes not only determine food supply levels but also have an impact on the environment (<xref ref-type="bibr" rid="ref53">Tilman et al., 2002</xref>). Due to the increasing world population, global food demand is expected to double by 2050 (<xref ref-type="bibr" rid="ref29">Janni et al., 2024</xref>), posing a considerable challenge to agricultural sustainability both in terms of meeting the growing demand for food and for reducing the adverse environmental impacts of adaptations to climate change (<xref ref-type="bibr" rid="ref12">Cui et al., 2018</xref>). Combined rice&#x2013;fish, rice&#x2013;crab, rice&#x2013;duck and <italic>Zizania latifolia</italic> (ZL)&#x2013;shelduck modes play important roles in improving crop yield and reducing greenhouse gas emissions from agriculture (<xref ref-type="bibr" rid="ref67">Zhang et al., 2023</xref>; <xref ref-type="bibr" rid="ref8">Chen et al., 2024</xref>). Compared with monoculture modes for agricultural production, combined planting&#x2013;breeding modes closely integrate the planting&#x2013;breeding industries, which not only improves the utilization efficiency of agricultural resources but also reduces environmental pollution and ecological damage (<xref ref-type="bibr" rid="ref26">Huang et al., 2021</xref>). For example, in a combined farming mode, organic matter and nutrients from animal manure are introduced into cultivated land to maintain or even improve soil fertility and ultimately improve food production efficiency (<xref ref-type="bibr" rid="ref22">Franzluebbers et al., 2014</xref>). Crop residues is used as feed for livestock and poultry breeding, which reduces feed costs (<xref ref-type="bibr" rid="ref15">De Faccio Carvalho et al., 2021</xref>). Combined farming modes have certain ecological and economic benefits and realize the efficient utilization of resources (<xref ref-type="bibr" rid="ref8">Chen et al., 2024</xref>). Therefore, it has been widely used in modern agricultural production.</p>
<p>In combined planting&#x2013;breeding modes, the synergistic relationships among different food animals and plants are exploited to increase the yield of agricultural products, which is an important pathway for promoting green and sustainable development in agriculture (<xref ref-type="bibr" rid="ref20">Feng et al., 2023</xref>). <xref ref-type="bibr" rid="ref45">Mahapatra (1994)</xref> defined a combined planting&#x2013;breeding system as a system in which production factors such as land, labor, and capital are optimally allocated and complex interactions among each subsystem are optimized through production processes. Intensive agricultural production has led to a series of ecological and economic issues, including the overuse of chemical fertilizer, excessive energy consumption, and a reduction in biodiversity (<xref ref-type="bibr" rid="ref2">Bai et al., 2018</xref>; <xref ref-type="bibr" rid="ref61">Xing et al., 2022</xref>). The coupling of planting&#x2013;breeding is an important way to improve agricultural sustainability (<xref ref-type="bibr" rid="ref32">Jin et al., 2021</xref>; <xref ref-type="bibr" rid="ref51">Tan et al., 2023</xref>). On this basis, scholars have conducted much research on the ecological and economic benefits of combined planting&#x2013;breeding mode (<xref ref-type="bibr" rid="ref52">Tang and Jin, 2021</xref>; <xref ref-type="bibr" rid="ref50">Rufino et al., 2021</xref>; <xref ref-type="bibr" rid="ref55">Wang et al., 2023</xref>; <xref ref-type="bibr" rid="ref33">Kang et al., 2024</xref>), covering a variety of systems such as rice&#x2013;fish systems (<xref ref-type="bibr" rid="ref1">Ahmed and Garnett, 2011</xref>), rice&#x2013;shrimp systems (<xref ref-type="bibr" rid="ref20">Feng et al., 2023</xref>), rice&#x2013;duck systems (<xref ref-type="bibr" rid="ref17">Du et al., 2023</xref>) and other combinations of agriculture and animal husbandry (<xref ref-type="bibr" rid="ref5">Brewer and Gaudin, 2020</xref>; <xref ref-type="bibr" rid="ref21">Franzluebbers et al., 2021</xref>).</p>
<p>To assess ecological benefits, scholars have employed the life cycle assessment (LCA) method (<xref ref-type="bibr" rid="ref61">Xing et al., 2022</xref>), the emergy method (<xref ref-type="bibr" rid="ref51">Tan et al., 2023</xref>), and the equivalence factor method (<xref ref-type="bibr" rid="ref30">Jia et al., 2021</xref>) to analyze the impact of combined planting&#x2013;breeding modes on soil microbial communities (<xref ref-type="bibr" rid="ref3">Bashir et al., 2020</xref>), soil biodiversity and functions (<xref ref-type="bibr" rid="ref20">Feng et al., 2023</xref>), ecological footprint (<xref ref-type="bibr" rid="ref58">Xian et al., 2023</xref>), and ecosystem services (<xref ref-type="bibr" rid="ref43">Liu et al., 2023</xref>), and concluded that combined planting&#x2013;breeding modes can effectively reduce the use of chemical fertilizers and pesticides (<xref ref-type="bibr" rid="ref33">Kang et al., 2024</xref>), improve soil quality (<xref ref-type="bibr" rid="ref35">Li et al., 2025</xref>), and reduce greenhouse gas emissions (<xref ref-type="bibr" rid="ref19">Fang et al., 2023</xref>). For instance, <xref ref-type="bibr" rid="ref64">Ye et al. (2024)</xref> compared the ecosystem service values (ESVs) of rice&#x2013;fish&#x2013;water spinach system, rice&#x2013;fish system, rice monoculture through a field experiment. They discovered that the net ESVs of the rice&#x2013;fish&#x2013;water spinach system and the rice&#x2013;fish system increased by 31.4% and 14.1%, respectively, compared with the rice monoculture. According to a study by <xref ref-type="bibr" rid="ref4">Berg et al. (2024)</xref>, they compared rice&#x2013;fish system and rice monoculture in the Mekong Delta and found that the rice&#x2013;fish system can significantly improve ecosystem services. However, some studies have suggested that combined planting&#x2013;breeding modes can have certain negative environmental impacts, such as causing water quality deterioration; therefore, it is necessary to establish locally adapted combined planting&#x2013;breeding modes on the basis of regional differences in agriculture (<xref ref-type="bibr" rid="ref37">Li et al., 2023</xref>).</p>
<p>To determine economic benefits, scholars have explored the impact of combined planting&#x2013;breeding modes on agricultural economics from the aspects of the net income of farmer households (<xref ref-type="bibr" rid="ref11">Cui et al., 2023</xref>), agricultural resource utilization efficiency (<xref ref-type="bibr" rid="ref54">Wang et al., 2024</xref>), crop quality and yield (<xref ref-type="bibr" rid="ref34">Li et al., 2022</xref>), and agricultural input (<xref ref-type="bibr" rid="ref24">Greenfeld et al., 2021</xref>). For example, <xref ref-type="bibr" rid="ref44">Ma et al. (2022)</xref> compared combined crop&#x2013;livestock systems with decoupled specialized livestock systems and reported that the net profit per kilogram of animal products in combined systems was greater than that in decoupled systems. <xref ref-type="bibr" rid="ref47">Minviel and Veysset (2021)</xref> compared combined farms and specialized farms in France and reported that combined farms were not necessarily more economical than specialized farms in terms of production factors; under the combined mode, farms might need to be reorganized to achieve better scale economy, and more targeted policies might be needed to promote an optimal allocation of farm resources. <xref ref-type="bibr" rid="ref63">Yang et al. (2024)</xref> compared the economic benefits of rice&#x2013;fish, rice&#x2013;shrimp, and rice&#x2013;duck systems with those of rice monoculture, and found that the economic benefits of the three integrated systems were significantly higher than those of rice monoculture, with an increase of 153.06&#x2013;431.40%.</p>
<p>In conclusion, combined planting&#x2013;breeding modes are sustainable agricultural production modes (<xref ref-type="bibr" rid="ref50">Rufino et al., 2021</xref>) that can prevent biodiversity loss (<xref ref-type="bibr" rid="ref23">Goswami et al., 2024</xref>), are better adapted to climate change (<xref ref-type="bibr" rid="ref16">Delandmeter et al., 2024</xref>) and can increase employment (<xref ref-type="bibr" rid="ref36">Li et al., 2011</xref>). Many studies have explored the ecological effects (<xref ref-type="bibr" rid="ref19">Fang et al., 2023</xref>; <xref ref-type="bibr" rid="ref9">Chen et al., 2023</xref>), and economic effects (<xref ref-type="bibr" rid="ref6">Cao et al., 2017</xref>; <xref ref-type="bibr" rid="ref44">Ma et al., 2022</xref>) of combined planting&#x2013;breeding modes. However, these studies have often been focused on singular perspectives, and comprehensive ecological and economic benefits have rarely been considered (<xref ref-type="bibr" rid="ref39">Ling et al., 2021</xref>). In addition, most studies on combined planting&#x2013;breeding modes have been focused on rice paddies (<xref ref-type="bibr" rid="ref1">Ahmed and Garnett, 2011</xref>; <xref ref-type="bibr" rid="ref17">Du et al., 2023</xref>; <xref ref-type="bibr" rid="ref20">Feng et al., 2023</xref>), and research on other crops and animal breeding modes is lacking. <xref ref-type="bibr" rid="ref42">Liu et al. (2024)</xref> compared the fruit tree&#x2013;crayfish system with rice&#x2013;crayfish system and crayfish monoculture, and found that the fruit tree-crayfish system emitted almost no CO<sub>2</sub> and N<sub>2</sub>O. Although combined economic crops and animal planting&#x2013;breeding modes have attracted more and more attention, there are still obvious deficiencies in the quantitative evaluation of their ecological and economic benefits, which need to be further improved. ZL and shelduck are economically valuable agricultural products (<xref ref-type="bibr" rid="ref60">Xiao et al., 2023</xref>). In addition, the combined farming mode involving ZL and shelduck enhances the efficiency of water and soil resource utilization, reduces the use of chemical fertilizers and pesticides, and advances the development of ecologically sound agriculture. Therefore, in this study, a symbiotic system consisting of ZL and shelduck was taken as an example, the carbon footprint of the system was used to calculate carbon emissions, and cost&#x2013;benefit analysis was conducted to determine the comprehensive ecological and economic benefits of this mode.</p>
</sec>
<sec sec-type="materials|methods" id="sec2">
<label>2</label>
<title>Materials and methods</title>
<sec id="sec3">
<label>2.1</label>
<title>Study area and system introduction</title>
<p>In this study, the ZL&#x2013;shelduck symbiotic system in Jinyun County, Zhejiang Province, China (28&#x00B0;24&#x2032;39&#x2033; to 28&#x00B0;57&#x2032;12&#x2033;N, 119&#x00B0;51&#x2032;57&#x2033; to 120&#x00B0;25&#x2032;20&#x2033;E) (<xref ref-type="fig" rid="fig1">Figure 1</xref>), is used as an example to explore the ecological and economic effects of combined planting&#x2013;breeding modes. The terrain in the study area is complex and diverse, with large elevation fluctuation and obvious slope undulation. The successful practice of the ZL&#x2013;shelduck symbiotic system can provide references for the development of sustainable agriculture in mountainous areas.</p>
<fig position="float" id="fig1">
<label>Figure 1</label>
<caption>
<p>Location and topography of the Zhejiang Jinyun ZL&#x2013;shelduck symbiotic system.</p>
</caption>
<graphic xlink:href="fsufs-09-1481149-g001.tif"/>
</fig>
<p>This research case was selected on the basis of three reasons. First, the ZL&#x2013;shelduck symbiotic mode is a typical example of a combined planting&#x2013;breeding mode. This mode combines the cultivation of crops grown in water with the breeding of waterfowl, making full use of the water surface space of ZL fields to raise shelducks. Second, both ZL and shelduck occupy significant positions in the current dietary structure of China as common vegetables and meat. The promotion of the combined planting&#x2013;breeding of these species is highly important for safeguarding food security. Third, the Jinyun ZL and shelduck industry is widely renowned. Jinyun County is the largest production base for ZL, with a planting area of 66,000 mu (approximately 4,400 hectares), accounting for 8% of the national total in China. The area has been called the &#x201C;Hometown of Zhejiang <italic>Zizania latifolia</italic>&#x201D; and &#x201C;Hometown of China <italic>Zizania latifolia</italic>&#x201D; and received the title of &#x201C;Hometown of Chinese Shelduck&#x201D; in 1997. In 2010, Jinyun shelduck became the first livestock and poultry species in Zhejiang Province to receive protection as an &#x201C;Agro&#x2013;product Geographical Indications&#x201D; from the Ministry of Agriculture and Rural Affairs of the People&#x2019;s Republic of China. In 2021, the ZL&#x2013;shelduck symbiotic system was recognized by the Ministry of Agriculture and Rural Affairs of the People&#x2019;s Republic of China in the sixth edition of China Nationally Important Agricultural Heritage. The development and preservation of the local ZL&#x2013;shelduck symbiotic system have received much attention from relevant governmental departments.</p>
<p>In the ZL&#x2013;shelduck symbiotic system, on the one hand, ZL fields can provide habitat for shelducks; on the other hand, shelducks feed on weeds and snails in ZL fields, and their excrement can provide organic fertilizer for ZL. The combined planting&#x2013;breeding mode involving ZL and shelduck not only reduces reliance on chemical fertilizers and pesticides for ZL cultivation but also offers a more natural environment for shelducks (<xref ref-type="fig" rid="fig2">Figure 2</xref>).</p>
<fig position="float" id="fig2">
<label>Figure 2</label>
<caption>
<p>The symbiotic landscape of ZL and shelducks.</p>
</caption>
<graphic xlink:href="fsufs-09-1481149-g002.tif"/>
</fig>
</sec>
<sec id="sec4">
<label>2.2</label>
<title>LCA method and calculation procedures</title>
<p>In this study, the LCA framework was used to estimate the carbon footprint of the ZL&#x2013;shelduck symbiotic system. LCA is a methodological tool for calculating the carbon emissions of products or services (including crops). In accordance with the International Organization for Standardization (ISO) process for documenting and evaluating LCAs, this study includes a complete objective and scope definition, inventory analysis, impact assessment and results analysis procedure (<xref ref-type="bibr" rid="ref27">ISO, 2006</xref>).</p>
<sec id="sec5">
<label>2.2.1</label>
<title>Definition of objectives and scope</title>
<p>In this study, the carbon footprint of the ZL&#x2013;shelduck symbiotic system was measured by taking the unit area as a functional unit, and the carbon footprint was expressed as CO<sub>2</sub> equivalents (CO<sub>2</sub> eq) (<xref ref-type="bibr" rid="ref28">ISO, 2018</xref>). In a complete agricultural LCA, resource utilization and potential environmental impacts from all raw material extraction, crop production, processing and use, and waste disposal processes should be considered (<xref ref-type="bibr" rid="ref38">Liang et al., 2009</xref>). The scope of the assessment was determined on the basis of the production and growth activities of ZL and shelduck, ranging from the raw material acquisition and production of agricultural inputs such as fertilizers to the harvest of ZL and shelduck products, and the transportation of them (<xref ref-type="fig" rid="fig3">Figure 3</xref>).</p>
<fig position="float" id="fig3">
<label>Figure 3</label>
<caption>
<p>Life cycle CO<sub>2</sub> emissions of the ZL&#x2013;shelduck symbiotic system.</p>
</caption>
<graphic xlink:href="fsufs-09-1481149-g003.tif"/>
</fig>
<p>In this study, only single-season ZL was considered. Field survey results show that farmers start applying base fertilizer in March each year; after the ZL seedlings are planted, fertilizers and pesticides are applied for crop management, and shelducks are placed in the ZL fields from April to June. Before the shelducks are placed in the fields, they are vaccinated and regularly fed with maize. The harvest period for single-season ZL is from July to September, during which shelducks can be slaughtered in a timely manner. Due to the unique growth habit of ZL, farmers use artificial means to harvest them. Since it is difficult to quantify resource utilization and the environmental impacts of packaging, consumption, and waste disposal in this symbiotic system, only transportation was considered. The carbon footprint accounting process included both direct and indirect carbon emissions, with direct emissions consisting of greenhouse gas emissions from fields (<xref ref-type="bibr" rid="ref25">Huang et al., 2016</xref>). Owing to limitations in data precision and experimental conditions, only indirect carbon emissions, such as those from chemical fertilizers, pesticides, and irrigation, were considered. Therefore, this study includes three processes in carbon footprint accounting: the first is the agricultural input process (including raw materials production and agricultural inputs production), which includes fertilizers, pesticides, and maize feed, the second is the agricultural process, which involves mainly agricultural machinery irrigation, and the third is the transportation process, which involves the sale of ZL and shelduck products.</p>
</sec>
<sec id="sec6">
<label>2.2.2</label>
<title>Inventory analysis</title>
<p>In this study, the amounts of compound fertilizer, urea, bactericides and insecticides for ZL monoculture were obtained from the &#x2018;Regulation for the cultural practice of <italic>Zizania latifolia</italic> Turcz&#x2019;, which was introduced by <xref ref-type="bibr" rid="ref13">Quality and Technology Supervision of Zhejiang Province (2014)</xref>. The amounts of compound fertilizer, urea, and maize used were obtained from the &#x2018;Technical Regulations for the Production of <italic>Zizania latifolia</italic> and Shelduck Nesting&#x2019;, which was introduced by <xref ref-type="bibr" rid="ref14">Lishui Market Supervision Administration (2020)</xref> (<xref ref-type="table" rid="tab1">Table 1</xref>). Compared with the ZL&#x2013;shelduck system, when a ZL monoculture mode is adopted, it is necessary to spray a 1,500 times greater amount of 20% WP myclobutanil (0.12&#x202F;kg/ha) to prevent Uromyces coronatus, a 600 times greater amount of 20% WP tricyclazole (0.30&#x202F;kg/ha) to prevent Helminthosporium leaf spot, an 800 times greater amount of 5% WP validamycin (0.05625&#x202F;kg/ha) to prevent sheath blight, a 2000 times greater amount of 25% WP buprofezin (0.1125&#x202F;kg/ha) to prevent the green slender planthopper, and a 4,000 times greater amount of 20% SC chlorantraniliprole (0.045&#x202F;kg/ha) to prevent stem borer, each of which is applied once. According to previous studies, shelducks prey on insect pests such as planthoppers and borers in a symbiotic mode involving ZL and shelduck. Therefore, the use of buprofezin and chlorantraniliprole can be ignored when the combined mode of ZL and shelduck is used. The prices of ZL and shelduck were taken from related research conducted by <xref ref-type="bibr" rid="ref60">Xiao et al. (2023)</xref>. The fertilizer price and maize feed price were obtained from relevant research by <xref ref-type="bibr" rid="ref66">Zhang et al. (2015)</xref>. The labor cost was obtained from relevant research by <xref ref-type="bibr" rid="ref56">Wu et al. (2014)</xref>. The prices of pesticides and shelduck eggs were based on general market prices. The shelduck density was taken to be 45-75/ha according to the &#x2018;Technical Regulations for the Production of <italic>Zizania latifolia</italic> and Shelduck Nesting&#x2019;(<xref ref-type="bibr" rid="ref14">Lishui Market Supervision Administration 2020</xref>), with an average of 60/ha. The data for electricity consumption for irrigation was based on relevant research by <xref ref-type="bibr" rid="ref7">Cao et al. (2014)</xref>, ZL production (<xref ref-type="bibr" rid="ref40">Lishui Daily, 2024</xref>) (according to the information provided by local technicians, the yield difference of ZL under the two modes is small, so it is ignored in this study and calculated according to the unified standard), shelduck egg production (<xref ref-type="bibr" rid="ref41">Lishui Network, 2023</xref>), and the price of electricity (<xref ref-type="bibr" rid="ref59">Xiangshan County People's Government, 2024</xref>) obtained from official local government information.</p>
<table-wrap position="float" id="tab1">
<label>Table 1</label>
<caption>
<p>Life cycle inventory analysis of the ZL&#x2013;shelduck symbiotic system.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top" colspan="2">Characteristics</th>
<th align="left" valign="top">Unit</th>
<th align="center" valign="top">ZL monoculture</th>
<th align="center" valign="top">ZL&#x2013;shelduck symbiotic system</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="middle" rowspan="5">Agricultural inputs</td>
<td align="left" valign="middle">Compound fertilizer</td>
<td align="left" valign="middle">kg/ha</td>
<td align="center" valign="middle">2100.00</td>
<td align="center" valign="middle">1912.50</td>
</tr>
<tr>
<td align="left" valign="middle">Urea</td>
<td align="left" valign="middle">kg/ha</td>
<td align="center" valign="middle">412.50</td>
<td align="center" valign="middle">127.50</td>
</tr>
<tr>
<td align="left" valign="middle">Bactericide</td>
<td align="left" valign="middle">kg/ha</td>
<td align="center" valign="middle">0.48</td>
<td align="center" valign="middle">0.48</td>
</tr>
<tr>
<td align="left" valign="middle">Insecticide</td>
<td align="left" valign="middle">kg/ha</td>
<td align="center" valign="middle">0.16</td>
<td align="center" valign="middle">&#x2013;</td>
</tr>
<tr>
<td align="left" valign="middle">Maize</td>
<td align="left" valign="middle">kg/ha</td>
<td align="center" valign="middle">&#x2013;</td>
<td align="center" valign="middle">135.00</td>
</tr>
<tr>
<td align="left" valign="middle">Farming</td>
<td align="left" valign="middle">Electricity for irrigation</td>
<td align="left" valign="middle">kWh/ha</td>
<td align="center" valign="middle">222.75</td>
<td align="center" valign="middle">222.75</td>
</tr>
<tr>
<td align="left" valign="middle" rowspan="3">Outputs</td>
<td align="left" valign="middle">Yield of ZL</td>
<td align="left" valign="middle">t/ha</td>
<td align="center" valign="middle">28.86</td>
<td align="center" valign="middle">28.86</td>
</tr>
<tr>
<td align="left" valign="middle">Quantity of shelduck</td>
<td align="left" valign="middle">shelduck/ha</td>
<td align="center" valign="middle">&#x2013;</td>
<td align="center" valign="middle">60.00</td>
</tr>
<tr>
<td align="left" valign="middle">Quality of shelduck egg</td>
<td align="left" valign="middle">kg/ha</td>
<td align="center" valign="middle">&#x2013;</td>
<td align="center" valign="middle">730.26</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>Data were rounded to two decimal places according to standard rounding rules.</p>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="sec7">
<label>2.2.3</label>
<title>Carbon footprint analysis</title>
<p>In this study, the carbon footprint estimation procedure for the ZL&#x2013;shelduck symbiotic system mainly included (1) the carbon dioxide produced by agricultural inputs, (2) the carbon dioxide emitted during farming processes, and (3) the carbon dioxide produced during transportation. To facilitate the summation of emissions, carbon dioxide emissions from different processes were measured in units of carbon dioxide equivalent (CO<sub>2</sub> eq).</p>
<p>According to field research, compound fertilizer and urea are the main fertilizers used for ZL, and maize is the main feed for shelducks. Therefore, in the process of calculating the carbon footprint of agricultural inputs, the carbon dioxide produced by the inputs of compound fertilizer, urea, bactericides, insecticides, and maize feed were considered.</p>
<p>The estimation method for carbon dioxide produced by agricultural inputs (<inline-formula>
<mml:math id="M1">
<mml:mi>C</mml:mi>
<mml:msub>
<mml:mi>F</mml:mi>
<mml:mi mathvariant="italic">inputs</mml:mi>
</mml:msub>
</mml:math>
</inline-formula>) is shown in <xref ref-type="disp-formula" rid="EQ1">Equation 1</xref>:</p>
<disp-formula id="EQ1"><label>(1)</label> <mml:math id="M2">
<mml:mi>C</mml:mi>
<mml:msub>
<mml:mi>F</mml:mi>
<mml:mi mathvariant="italic">inputs</mml:mi>
</mml:msub>
<mml:mo>=</mml:mo>
<mml:munderover>
<mml:mstyle displaystyle="true">
<mml:mo stretchy="true">&#x2211;</mml:mo>
</mml:mstyle>
<mml:mrow>
<mml:mi>i</mml:mi>
<mml:mo>=</mml:mo>
<mml:mn>1</mml:mn>
</mml:mrow>
<mml:mi>n</mml:mi>
</mml:munderover>
<mml:msub>
<mml:mi>&#x03B8;</mml:mi>
<mml:mi>i</mml:mi>
</mml:msub>
<mml:mo>&#x00B7;</mml:mo>
<mml:msub>
<mml:mi>&#x03BE;</mml:mi>
<mml:mi>i</mml:mi>
</mml:msub>
</mml:math></disp-formula>
<p>where <inline-formula>
<mml:math id="M3">
<mml:mi>C</mml:mi>
<mml:msub>
<mml:mi>F</mml:mi>
<mml:mi mathvariant="italic">inputs</mml:mi>
</mml:msub>
</mml:math>
</inline-formula> represents the carbon footprint of agricultural production inputs, with units of kg CO<sub>2</sub> eq/ha. <inline-formula>
<mml:math id="M4">
<mml:mi>n</mml:mi>
</mml:math>
</inline-formula> represents the type of agricultural input. <inline-formula>
<mml:math id="M5">
<mml:msub>
<mml:mi>&#x03B8;</mml:mi>
<mml:mi>i</mml:mi>
</mml:msub>
</mml:math>
</inline-formula> represents the quantity of the <inline-formula>
<mml:math id="M6">
<mml:mi>i</mml:mi>
</mml:math>
</inline-formula> type of agricultural input, with units of kg/ha. <inline-formula>
<mml:math id="M7">
<mml:msub>
<mml:mi>&#x03BE;</mml:mi>
<mml:mi>i</mml:mi>
</mml:msub>
</mml:math>
</inline-formula> represents the carbon emission factor of the <inline-formula>
<mml:math id="M8">
<mml:mi>i</mml:mi>
</mml:math>
</inline-formula> type of agricultural input, with units of kg CO<sub>2</sub> eq/kg (<xref ref-type="table" rid="tab2">Table 2</xref>).</p>
<table-wrap position="float" id="tab2">
<label>Table 2</label>
<caption>
<p>Greenhouse gas emission factors for various agricultural activities.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top" colspan="2">Items</th>
<th align="left" valign="top">Emission factors</th>
<th align="left" valign="top">Data sources</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="middle" rowspan="5">Agricultural inputs</td>
<td align="left" valign="middle">Compound fertilizer</td>
<td align="left" valign="middle">1.77&#x202F;kg CO<sub>2</sub> eq/kg</td>
<td align="left" valign="middle">
<xref ref-type="bibr" rid="ref25">Huang et al. (2016)</xref>
</td>
</tr>
<tr>
<td align="left" valign="middle">Urea</td>
<td align="left" valign="middle">0.956&#x202F;kg CO<sub>2</sub> eq/kg</td>
<td align="left" valign="middle">
<xref ref-type="bibr" rid="ref10">Chinese Academy of Environmental Planning, Beijing Normal University, Sun Yat-Sen University, and China City Greenhouse Gas Working Group (2022)</xref>
</td>
</tr>
<tr>
<td align="left" valign="middle">Bactericide</td>
<td align="left" valign="middle">10.60&#x202F;kg CO<sub>2</sub> eq/kg</td>
<td align="left" valign="middle">
<xref ref-type="bibr" rid="ref25">Huang et al. (2016)</xref>
</td>
</tr>
<tr>
<td align="left" valign="middle">Insecticide</td>
<td align="left" valign="middle">16.60&#x202F;kg CO<sub>2</sub> eq/kg</td>
<td align="left" valign="middle">
<xref ref-type="bibr" rid="ref25">Huang et al. (2016)</xref>
</td>
</tr>
<tr>
<td align="left" valign="middle">Maize</td>
<td align="left" valign="middle">0.80&#x202F;kg CO<sub>2</sub> eq/kg</td>
<td align="left" valign="middle">
<xref ref-type="bibr" rid="ref10">Chinese Academy of Environmental Planning, Beijing Normal University, Sun Yat-Sen University, and China City Greenhouse Gas Working Group (2022)</xref>
</td>
</tr>
<tr>
<td align="left" valign="middle">Farming</td>
<td align="left" valign="middle">Electricity consumption for irrigation</td>
<td align="left" valign="middle">0.5617&#x202F;kg CO<sub>2</sub> eq/kWh</td>
<td align="left" valign="middle">
<xref ref-type="bibr" rid="ref46">Ministry of Ecology and Environment of the People's Republic of China (2024)</xref>
</td>
</tr>
<tr>
<td align="left" valign="middle">Transportation</td>
<td align="left" valign="middle">Transportation</td>
<td align="left" valign="middle">0.052&#x202F;kg CO<sub>2</sub> eq/t&#x00B7;km</td>
<td align="left" valign="middle">
<xref ref-type="bibr" rid="ref48">Peng et al. (2016)</xref>
</td>
</tr>
</tbody>
</table>
</table-wrap>
<p>In the energy consumption estimation process for farming, only electricity consumption for irrigation was considered.</p>
<p>The estimation method for carbon dioxide produced during farming processes (<inline-formula>
<mml:math id="M9">
<mml:mi>C</mml:mi>
<mml:msub>
<mml:mi>F</mml:mi>
<mml:mi mathvariant="italic">farming</mml:mi>
</mml:msub>
</mml:math>
</inline-formula>) is shown in <xref ref-type="disp-formula" rid="EQ2">Equation 2</xref>:</p>
<disp-formula id="EQ2"><label>(2)</label> <mml:math id="M10">
<mml:mi>C</mml:mi>
<mml:msub>
<mml:mi>F</mml:mi>
<mml:mi mathvariant="italic">farming</mml:mi>
</mml:msub>
<mml:mo>=</mml:mo>
<mml:mi mathvariant="italic">EL</mml:mi>
<mml:msub>
<mml:mi>E</mml:mi>
<mml:mi mathvariant="italic">input</mml:mi>
</mml:msub>
<mml:mo>&#x00D7;</mml:mo>
<mml:mi>&#x03B5;</mml:mi>
</mml:math></disp-formula>
<p>where <inline-formula>
<mml:math id="M11">
<mml:mi>C</mml:mi>
<mml:msub>
<mml:mi>F</mml:mi>
<mml:mi mathvariant="italic">farming</mml:mi>
</mml:msub>
</mml:math>
</inline-formula> represents the carbon dioxide emissions arising from electricity consumption for irrigation, with units of kg CO<sub>2</sub> eq/ha. <inline-formula>
<mml:math id="M12">
<mml:mi mathvariant="italic">EL</mml:mi>
<mml:msub>
<mml:mi>E</mml:mi>
<mml:mi mathvariant="italic">input</mml:mi>
</mml:msub>
</mml:math>
</inline-formula> represents the input of irrigation electricity, with units of kWh/ha. <inline-formula>
<mml:math id="M13">
<mml:mi>&#x03B5;</mml:mi>
</mml:math>
</inline-formula> represents the greenhouse gas emission factor of electricity, with units of kg CO<sub>2</sub> eq/kWh.</p>
<p>The estimation method for carbon dioxide produced during transportation (<inline-formula>
<mml:math id="M14">
<mml:mi>C</mml:mi>
<mml:msub>
<mml:mi>F</mml:mi>
<mml:mi mathvariant="italic">trans</mml:mi>
</mml:msub>
</mml:math>
</inline-formula>) is shown in <xref ref-type="disp-formula" rid="EQ3">Equation 3</xref>:</p>
<disp-formula id="EQ3"><label>(3)</label> <mml:math id="M15">
<mml:mi>C</mml:mi>
<mml:msub>
<mml:mi>F</mml:mi>
<mml:mi mathvariant="italic">trans</mml:mi>
</mml:msub>
<mml:mo>=</mml:mo>
<mml:msub>
<mml:mi>W</mml:mi>
<mml:mi>j</mml:mi>
</mml:msub>
<mml:mo>&#x00D7;</mml:mo>
<mml:mi>L</mml:mi>
<mml:mo>&#x00D7;</mml:mo>
<mml:mi>&#x03BB;</mml:mi>
</mml:math></disp-formula>
<p>where <inline-formula>
<mml:math id="M16">
<mml:mi>C</mml:mi>
<mml:msub>
<mml:mi>F</mml:mi>
<mml:mi mathvariant="italic">trans</mml:mi>
</mml:msub>
</mml:math>
</inline-formula> represents the carbon dioxide emissions derived from transportation, with units of kg CO<sub>2</sub> eq/ha. <inline-formula>
<mml:math id="M17">
<mml:msub>
<mml:mi>W</mml:mi>
<mml:mi>j</mml:mi>
</mml:msub>
</mml:math>
</inline-formula> represents the weight of the ZL and shelduck eggs transported, with units of kg/ha. <inline-formula>
<mml:math id="M18">
<mml:mi>L</mml:mi>
</mml:math>
</inline-formula> represents the transport distance, which is estimated according to the distance from the Qianlu Township People&#x2019;s Government to Hangzhou. According to the Gaode map, this distance is 206 kilometers. <inline-formula>
<mml:math id="M19">
<mml:mi>&#x03BB;</mml:mi>
</mml:math>
</inline-formula> represents the carbon emission coefficient of road transportation, with units of kg CO<sub>2</sub> eq/t&#x00B7;km.</p>
<p>The calculation method for the carbon footprint of the ZL&#x2013;shelduck symbiotic system is shown in <xref ref-type="disp-formula" rid="EQ4">Equation 4</xref>:</p>
<disp-formula id="EQ4"><label>(4)</label> <mml:math id="M20">
<mml:mi>C</mml:mi>
<mml:msub>
<mml:mi>F</mml:mi>
<mml:mi mathvariant="italic">total</mml:mi>
</mml:msub>
<mml:mo>=</mml:mo>
<mml:mi>C</mml:mi>
<mml:msub>
<mml:mi>F</mml:mi>
<mml:mi mathvariant="italic">inputs</mml:mi>
</mml:msub>
<mml:mo>+</mml:mo>
<mml:mi>C</mml:mi>
<mml:msub>
<mml:mi>F</mml:mi>
<mml:mi mathvariant="italic">farming</mml:mi>
</mml:msub>
<mml:mo>+</mml:mo>
<mml:mi>C</mml:mi>
<mml:msub>
<mml:mi>F</mml:mi>
<mml:mi mathvariant="italic">trans</mml:mi>
</mml:msub>
</mml:math></disp-formula>
</sec>
</sec>
<sec id="sec8">
<label>2.3</label>
<title>Analysis of economic benefits</title>
<p>The economic benefits of the system were calculated on the basis of the cost and output of ZL and shelduck per hectare and the economic cost of the carbon footprint (<xref ref-type="table" rid="tab3">Table 3</xref>). The calculation method is shown in <xref ref-type="disp-formula" rid="EQ5">Equation 5</xref>:</p>
<disp-formula id="EQ5"><label>(5)</label> <mml:math id="M21">
<mml:mi>N</mml:mi>
<mml:mi>I</mml:mi>
<mml:mo>=</mml:mo>
<mml:mi>T</mml:mi>
<mml:mi>I</mml:mi>
<mml:mo>&#x2212;</mml:mo>
<mml:mi>T</mml:mi>
<mml:mi>C</mml:mi>
</mml:math></disp-formula>
<table-wrap position="float" id="tab3">
<label>Table 3</label>
<caption>
<p>The unit price of agricultural inputs and outputs.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top">Characteristics</th>
<th align="left" valign="top">Unit</th>
<th align="center" valign="top">ZL monoculture</th>
<th align="center" valign="top">ZL&#x2013;shelduck symbiotic system</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="middle">Compound fertilizer</td>
<td align="left" valign="middle">yuan/kg</td>
<td align="center" valign="middle">2.80</td>
<td align="center" valign="middle">2.80</td>
</tr>
<tr>
<td align="left" valign="middle">Urea</td>
<td align="left" valign="middle">yuan/kg</td>
<td align="center" valign="middle">2.40</td>
<td align="center" valign="middle">2.40</td>
</tr>
<tr>
<td align="left" valign="middle">Maize</td>
<td align="left" valign="middle">yuan/kg</td>
<td align="center" valign="middle">&#x2013;</td>
<td align="center" valign="middle">3.60</td>
</tr>
<tr>
<td align="left" valign="middle">Bactericide</td>
<td align="left" valign="middle">yuan/kg</td>
<td align="center" valign="middle">45.67</td>
<td align="center" valign="middle">45.67</td>
</tr>
<tr>
<td align="left" valign="middle">Insecticide</td>
<td align="left" valign="middle">yuan/kg</td>
<td align="center" valign="middle">171.50</td>
<td align="center" valign="middle">&#x2013;</td>
</tr>
<tr>
<td align="left" valign="middle">ZL</td>
<td align="left" valign="middle">yuan/kg</td>
<td align="center" valign="middle">3.76</td>
<td align="center" valign="middle">3.76</td>
</tr>
<tr>
<td align="left" valign="middle">Shelduck</td>
<td align="left" valign="middle">yuan/shelduck</td>
<td align="center" valign="middle">&#x2013;</td>
<td align="center" valign="middle">90.78</td>
</tr>
<tr>
<td align="left" valign="middle">Shelduck egg</td>
<td align="left" valign="middle">yuan/kg</td>
<td align="center" valign="middle">&#x2013;</td>
<td align="center" valign="middle">24.00</td>
</tr>
<tr>
<td align="left" valign="middle">Electricity</td>
<td align="left" valign="middle">yuan/kWh</td>
<td align="center" valign="middle">0.48</td>
<td align="center" valign="middle">0.48</td>
</tr>
<tr>
<td align="left" valign="middle">Labor</td>
<td align="left" valign="middle">yuan/ha</td>
<td align="center" valign="middle">30375.00</td>
<td align="center" valign="middle">22125.00</td>
</tr>
<tr>
<td align="left" valign="middle">CO<sub>2</sub></td>
<td align="left" valign="middle">yuan/t</td>
<td align="center" valign="middle">174.30</td>
<td align="center" valign="middle">174.30</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>Data were rounded to two decimal places according to standard rounding rules.</p>
</table-wrap-foot>
</table-wrap>
<p>In this formula, <inline-formula>
<mml:math id="M22">
<mml:mi>N</mml:mi>
<mml:mi>I</mml:mi>
</mml:math>
</inline-formula> represents net income, <inline-formula>
<mml:math id="M23">
<mml:mi>T</mml:mi>
<mml:mi>I</mml:mi>
</mml:math>
</inline-formula> represents total income, and <inline-formula>
<mml:math id="M24">
<mml:mi>T</mml:mi>
<mml:mi>C</mml:mi>
</mml:math>
</inline-formula> represents total cost, which includes not only labor and agricultural costs but also carbon emission costs. According to the research of <xref ref-type="bibr" rid="ref57">Xia et al. (2016)</xref>, the economic cost per ton of CO<sub>2</sub> is 174.3 yuan.</p>
</sec>
</sec>
<sec sec-type="results" id="sec9">
<label>3</label>
<title>Results</title>
<sec id="sec10">
<label>3.1</label>
<title>Carbon footprints of different farming modes</title>
<p>The carbon footprints of the ZL monoculture and combined ZL&#x2013;shelduck planting&#x2013;breeding mode were 4553.32 kg CO<sub>2</sub> eq/ha and 4062.19 kg CO<sub>2</sub> eq/ha, respectively (<xref ref-type="fig" rid="fig4">Figure 4</xref>). Compared with those of ZL monoculture, the carbon emissions of the combined ZL&#x2013;shelduck planting&#x2013;breeding mode were 10.79% lower, indicating that the combined farming mode has significant effects on reducing carbon emissions.</p>
<fig position="float" id="fig4">
<label>Figure 4</label>
<caption>
<p>Composition of the carbon footprints of the ZL&#x2013;shelduck symbiotic system and ZL monoculture (unit: kg CO<sub>2</sub> eq/ha). Data were rounded to two decimal places according to standard rounding rules.</p>
</caption>
<graphic xlink:href="fsufs-09-1481149-g004.tif"/>
</fig>
<p>From the perspective of different emission sources, the carbon emissions from chemical fertilizers use under the two modes were the highest. The carbon emissions from chemical fertilizers in the ZL monoculture was 4111.35 kg CO<sub>2</sub> eq/ha, whereas the carbon emissions from chemical fertilizers in the ZL&#x2013;shelduck combined planting&#x2013;breeding mode was 3507.02 kg CO<sub>2</sub> eq/ha. Compared with those in ZL monoculture, the carbon emissions of chemical fertilizers in the combined mode decreased by 14.70%. Carbon emissions from transportation were second only to those from fertilizers, with 309.19 kg CO<sub>2</sub> eq/ha in the ZL monoculture mode, accounting for 6.79% of the total carbon emissions in this mode. The carbon emissions from the transportation process in the combined ZL&#x2013;shelduck planting&#x2013;breeding mode were 317.01 kg CO<sub>2</sub> eq/ha, representing 7.80% of the total carbon emissions for this mode. Maize feed was also a source of carbon emissions, compared to ZL monoculture, the carbon emissions from maize feed in the combined ZL&#x2013;shelduck planting&#x2013;breeding mode were 108 kg CO<sub>2</sub> eq/ha, which accounted for 2.66% of the total carbon emissions in the combined mode. In general, the combined planting&#x2013;breeding mode could significantly reduce the carbon emissions caused by agricultural production activities. Chemical fertilizers were the main source of carbon emissions, followed by transportation, and maize feed was also an important source of carbon emissions.</p>
<p>In the two modes, the carbon emissions of agricultural input process were the largest, followed by those from the transportation process, and finally that from the farming process (<xref ref-type="fig" rid="fig5">Figure 5</xref>). Compared to ZL monoculture, the carbon emissions of farming processes in the combined ZL&#x2013;shelduck planting&#x2013;breeding mode did not change, while the carbon emissions from agricultural inputs and transportation decreased by 12.11 and 2.53%.</p>
<fig position="float" id="fig5">
<label>Figure 5</label>
<caption>
<p>Composition of carbon footprints of the three emission processes in the ZL&#x2013;shelduck symbiotic system and in ZL monoculture.</p>
</caption>
<graphic xlink:href="fsufs-09-1481149-g005.tif"/>
</fig>
</sec>
<sec id="sec11">
<label>3.2</label>
<title>Economic benefits of different farming modes</title>
<p>In general, the total income from the combined ZL&#x2013;shelduck planting&#x2013;breeding mode was 131,590.30 yuan/ha, and it was 108,617.25 yuan/ha for ZL monoculture (<xref ref-type="table" rid="tab4">Table 4</xref>). Compared with that from ZL monoculture, the total income of the combined planting&#x2013;breeding mode was 21.15% greater. The net income of the monoculture mode and the combined planting&#x2013;breeding mode was 70,423.60 yuan/ha and 102,482.26 yuan/ha, respectively. Compared with that of the monoculture mode, the net income of the combined planting&#x2013;breeding mode increased by 45.52%.</p>
<table-wrap position="float" id="tab4">
<label>Table 4</label>
<caption>
<p>The income and cost of outputs and inputs (unit: yuan/ha).</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top" colspan="3">Indicators</th>
<th align="center" valign="top">ZL monoculture</th>
<th align="center" valign="top">ZL&#x2013;shelduck symbiotic system</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="middle" rowspan="3">Income</td>
<td align="left" valign="middle">Crop income</td>
<td align="left" valign="middle">ZL</td>
<td align="center" valign="middle">108617.25</td>
<td align="center" valign="middle">108617.25</td>
</tr>
<tr>
<td align="left" valign="middle" rowspan="2">Shelduck products income</td>
<td align="left" valign="middle">Shelduck</td>
<td align="center" valign="middle">&#x2013;</td>
<td align="center" valign="middle">5446.80</td>
</tr>
<tr>
<td align="left" valign="middle">Shelduck egg</td>
<td align="center" valign="middle">&#x2013;</td>
<td align="center" valign="middle">17526.25</td>
</tr>
<tr>
<td align="left" valign="middle" rowspan="8">Cost</td>
<td align="left" valign="middle" rowspan="6">Agricultural inputs cost</td>
<td align="left" valign="middle">Compound fertilizer</td>
<td align="center" valign="middle">5880.00</td>
<td align="center" valign="middle">5355.00</td>
</tr>
<tr>
<td align="left" valign="middle">Urea</td>
<td align="center" valign="middle">990.00</td>
<td align="center" valign="middle">306.00</td>
</tr>
<tr>
<td align="left" valign="middle">Bactericide</td>
<td align="center" valign="middle">21.75</td>
<td align="center" valign="middle">21.75</td>
</tr>
<tr>
<td align="left" valign="middle">Insecticide</td>
<td align="center" valign="middle">27.01</td>
<td align="center" valign="middle">&#x2013;</td>
</tr>
<tr>
<td align="left" valign="middle">Maize</td>
<td align="center" valign="middle">0.00</td>
<td align="center" valign="middle">486.00</td>
</tr>
<tr>
<td align="left" valign="middle">Electricity</td>
<td align="center" valign="middle">106.25</td>
<td align="center" valign="middle">106.25</td>
</tr>
<tr>
<td align="left" valign="middle">Labor cost</td>
<td align="left" valign="middle">Labor</td>
<td align="center" valign="middle">30375.00</td>
<td align="center" valign="middle">22125.00</td>
</tr>
<tr>
<td align="left" valign="middle">Environmental cost</td>
<td align="left" valign="middle">CO<sub>2</sub></td>
<td align="center" valign="middle">793.64</td>
<td align="center" valign="middle">708.04</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>Data were rounded to two decimal places according to standard rounding rules.</p>
</table-wrap-foot>
</table-wrap>
<p>From the perspective of income channels, the combined ZL&#x2013;shelduck planting&#x2013;breeding mode generated income from the cultivation of ZL and from the sale of shelducks and shelduck eggs, which account for 4.14 and 13.32% of the total income, respectively. These findings indicate that revenue from shelduck eggs plays a significant role in the combined planting&#x2013;breeding mode.</p>
<p>For input costs, labor is the primary source of cost (<xref ref-type="fig" rid="fig6">Figure 6</xref>). In the ZL monoculture mode, the cost of labor was 30,375 yuan/ha, accounting for 79.53% of the total cost of this mode. In the combined ZL&#x2013;shelduck planting&#x2013;breeding mode, the cost of labor was 22,125 yuan/ha, representing 76.01% of the total cost of this mode. Compound fertilizer is an important source of cost. In the monoculture mode and the combined planting&#x2013;breeding mode, the cost of compound fertilizer accounted for 15.40 and 18.40%, respectively, of the total cost. Compared with that in the monoculture mode, the cost of compound fertilizer in the combined ZL&#x2013;shelduck planting&#x2013;breeding mode decreased by 8.93%. Notably, in this study, carbon emissions were translated into economic costs and incorporated into the economic benefit analysis framework. The carbon emission costs in the monoculture mode and the combined planting&#x2013;breeding mode accounted for 2.08 and 2.43% of their respective total costs.</p>
<fig position="float" id="fig6">
<label>Figure 6</label>
<caption>
<p>Composition of costs in the ZL&#x2013;shelduck symbiotic system and in ZL monoculture (unit: yuan/ha). Data were rounded to two decimal places according to standard rounding rules.</p>
</caption>
<graphic xlink:href="fsufs-09-1481149-g006.tif"/>
</fig>
<p>The labor cost was highest under the two modes, followed by agricultural input cost, and the environmental cost was the lowest (<xref ref-type="fig" rid="fig7">Figure 7</xref>). Compared with those in the monoculture mode, the labor costs, agricultural input costs, and environmental costs in the combined ZL&#x2013;shelduck planting&#x2013;breeding mode decreased by 27.16, 10.68, and 10.79%, respectively. The results suggest that the combined planting&#x2013;breeding mode has the potential to reduce costs and emissions relative to monoculture methods.</p>
<fig position="float" id="fig7">
<label>Figure 7</label>
<caption>
<p>Composition of three types of costs for the ZL&#x2013;shelduck symbiotic system and for ZL monoculture.</p>
</caption>
<graphic xlink:href="fsufs-09-1481149-g007.tif"/>
</fig>
<p>The net income of the monoculture mode and the combined ZL&#x2013;shelduck planting&#x2013;breeding mode account for 64.84 and 77.88%, respectively, of the total income. This finding also indicates that, compared with the monoculture mode, the combined ZL&#x2013;shelduck planting&#x2013;breeding mode has advantages in terms of resource utilization and cost control.</p>
</sec>
</sec>
<sec sec-type="discussion" id="sec12">
<label>4</label>
<title>Discussion</title>
<p>The combined ZL&#x2013;shelduck planting&#x2013;breeding mode can reduce the use of chemical fertilizers and pesticides, thereby decreasing carbon emissions. Compared with those of ZL monoculture, the carbon emissions of the combined planting&#x2013;breeding mode decreased by 10.79%. This is because shelducks feed on weeds, duckweed, and pests in ZL fields, which reduces the use of pesticides. The organic excrement of shelducks can also serve as natural fertilizers for the growth of ZL, which reduces the use of chemical fertilizers, results in a beneficial ecological cycle, reduces environmental impact, and has significant ecological benefits. This finding is consistent with the findings of <xref ref-type="bibr" rid="ref17">Du et al. (2023)</xref>, who compared ratoon rice monoculture with a combined rice&#x2013;duck planting&#x2013;breeding mode and reported that, compared with ratoon rice monoculture, the combined mode reduced the input of chemical fertilizers by 15%, and significantly lowered carbon emissions. In this study, chemical fertilizers were the main source of carbon emissions, which is consistent with the conclusions of <xref ref-type="bibr" rid="ref18">Fan et al. (2022)</xref> and <xref ref-type="bibr" rid="ref62">Xu et al. (2023)</xref>, who studied different agricultural modes and reported that chemical fertilizer was the main factor leading to greenhouse gas emissions. <xref ref-type="bibr" rid="ref19">Fang et al. (2023)</xref> compared the rice&#x2013;shrimp symbiotic mode with rice monoculture and reported that the combined planting&#x2013;breeding mode effectively reduced greenhouse gas emissions. Compared with the monoculture mode, the combined mode increased feed input and carbon emissions to a certain extent but did not affect the overall emission-reducing effect of the combined mode. However, <xref ref-type="bibr" rid="ref31">Jiao et al. (2023)</xref> demonstrated in their study of the Qingtian rice&#x2013;fish culture system that the rice&#x2013;fish mode contributed to a reduction in carbon emissions. However, after comparing data from different years, they authors concluded that environmental risks associated with increased feed input exist for this mode.</p>
<p>The combined ZL&#x2013;shelduck planting&#x2013;breeding mode can significantly improve economic benefits. On the one hand, compared with the monoculture mode, the combined planting&#x2013;breeding mode can not only produce ZL, but also harvest products such as shelducks and shelduck eggs, thus increasing the overall income. On the other hand, this mode effectively reduced the input cost of agricultural resources and labor. In this study, compared with the monoculture mode, the net income of the combined planting&#x2013;breeding mode increased by 45.52%, and the proportion of net income in the total income was greater, accounting for 77.88% of the total income. This finding is consistent with the conclusions of <xref ref-type="bibr" rid="ref21">Franzluebbers et al. (2021)</xref> and <xref ref-type="bibr" rid="ref63">Yang et al. (2024)</xref>on different combined modes for planting&#x2013;breeding. From the perspective of input economy and input diseconomy, <xref ref-type="bibr" rid="ref47">Minviel and Veysset (2021)</xref> studied combined farming in France and reported that most farms presented an input diseconomy because the economic benefits of combined farming were affected by the farm scale, public subsidies and other factors. It can be seen that the combined planting&#x2013;breeding mode has the potential to achieve production and ecological win&#x2013;win.</p>
<p>The first goal of this study was to integrate ecology and economy into the same framework, calculate the economic cost of carbon emissions, and comprehensively consider the net benefits of the two modes. In analyzing input costs, most researchers measure only ecological or economic benefits (<xref ref-type="bibr" rid="ref65">Yu et al., 2023</xref>; <xref ref-type="bibr" rid="ref39">Ling et al., 2021</xref>). The second objective was to quantify the carbon emissions over the life cycle of agricultural products and clarify the carbon emissions at each stage, which can provide systematic support for the formulation of emission reduction policies for agricultural production.</p>
<p>However, there are several shortcomings in this study. Owing to the limited availability of data, our carbon footprint accounting process did not involve the consumption of agricultural products or material exchange processes within soil systems. In subsequent studies, researchers could extend the life cycle chain and supplement experimental measurements to quantify ecological effects more precisely. At the institutional level, ecological protection compensation mechanisms should be explored for farming practices to promote combined planting&#x2013;breeding modes and sustainable development in modern agriculture. For example, by improving the ecological subsidy policy of combined planting&#x2013;breeding modes, farmers were guided to continue to adopt combined planting&#x2013;breeding modes rather than turning to crop monoculture, thus promoting the synchronous development of the local environment and economy (<xref ref-type="bibr" rid="ref31">Jiao et al., 2023</xref>). At the same time, the accounting system of ecological compensation standards should be improved to establish appropriate compensation benchmarks for different agricultural ecosystems (<xref ref-type="bibr" rid="ref49">Qiao et al., 2025</xref>).</p>
</sec>
<sec sec-type="conclusions" id="sec13">
<label>5</label>
<title>Conclusion</title>
<p>In this study, the LCA method was employed for the ZL&#x2013;shelduck symbiotic system as an example to calculate the carbon footprint of ZL monoculture and the combined planting&#x2013;breeding mode to explore the ecological benefits of both modes. On this basis, the carbon footprint cost was transformed into economic cost, and the comprehensive ecological&#x2013;economic benefits of the combined mode were obtained by combining the economic benefit results in the cost&#x2013;benefit calculations. The results showed that (1) the combined ZL&#x2013;shelduck planting&#x2013;breeding mode could effectively reduce the use of chemical fertilizers and pesticides relative to the monoculture mode. Compared with those of ZL monoculture, the carbon emissions of the combined mode were 10.79% lower. (2) In addition to income from ZL, shelduck products provided additional income to farmer households in the combined planting&#x2013;breeding mode. Compared with that of ZL monoculture, the net income of the combined mode was 45.52% higher. The results suggested that the combined planting&#x2013;breeding mode is an efficient and ecologically sustainable agriculture mode that achieves mutual benefits in terms of ecology and the economy by integrating resources, optimizing resource allocation, and managing biodiversity.</p>
<p>This study demonstrates the potential of combined planting&#x2013;breeding modes to achieve mutual benefits in terms of both ecology and economy. In future studies, researchers could quantify ecological effects more precisely by improving the analysis of the life cycle chain. At the institutional level, ecological compensation mechanisms could be explored and combined planting&#x2013;breeding modes could be promoted in agricultural practices, thereby advancing sustainable development in modern agriculture.</p>
</sec>
</body>
<back>
<sec sec-type="data-availability" id="sec14">
<title>Data availability statement</title>
<p>The original contributions presented in the study are included in the article/supplementary material, further inquiries can be directed to the corresponding author.</p>
</sec>
<sec sec-type="author-contributions" id="sec15">
<title>Author contributions</title>
<p>WT: Formal analysis, Investigation, Visualization, Writing &#x2013; original draft. LX: Project administration, Supervision, Writing &#x2013; review &#x0026; editing. ZL: Conceptualization, Funding acquisition, Project administration, Supervision, Writing &#x2013; review &#x0026; editing. ML: Funding acquisition, Investigation, Writing &#x2013; review &#x0026; editing. DR: Investigation, Visualization, Writing &#x2013; review &#x0026; editing. QW: Investigation, Writing &#x2013; review &#x0026; editing.</p>
</sec>
<sec sec-type="funding-information" id="sec16">
<title>Funding</title>
<p>The author(s) declare financial support was received for the research, authorship, and/or publication of this article. This study was supported by the National Natural Science Foundation of China (42171279) and the 2023 Open Fund Project of Key Laboratory of Applied Research on Tropical Crop Information Technology of Hainan Province (ZDSYS-KFJJ-202303).</p>
</sec>
<ack>
<p>We are thankful to the Agriculture and Rural Bureau of Jinyun County, the People&#x2019;s Government of Qianlu Township and local farmer households for their support to this article.</p>
</ack>
<sec sec-type="COI-statement" id="sec17">
<title>Conflict of interest</title>
<p>The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec sec-type="disclaimer" id="sec18">
<title>Publisher&#x2019;s note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
</sec>
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