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Climate Change and Sustainable Agricultural System

A special issue of Sustainability (ISSN 2071-1050). This special issue belongs to the section "Sustainable Agriculture".

Deadline for manuscript submissions: 30 April 2025 | Viewed by 3633

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Guest Editor
Department of Agricultural and Biosystems Engineering, Iowa State University, Ames, IA 50011, USA
Interests: hydrology; water harvesting; water quality; wastewater treatment; environment irrigation; drainage; climate change; agriculture; food security; sustainable systems
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Special Issue Information

Dear Colleagues,

We plan to publish a Special Issue of Sustainability with a focus on “Climate Change and Sustainable Agricultural System”. Climate change is one of the most important challenges facing humanity and affects almost every continent. Agricultural production systems can lead to increased availability of nitrogen in the soil resulting in emissions of nitrous oxide (N2O). Other agricultural activities that may contribute to N2O emissions from agricultural soils include the application of synthetic fertilizers and animal manure, as well as irrigation practices used for rice and other crops. Animal production systems, especially those used for ruminants such as dairy cows and cattle, produce methane (CH4) as part of their normal digestive processes, thereby representing over a quarter of greenhouse gas emissions from the agriculture sector. In addition, manure management (storage, treatment, land application) accounts for about 11% of total greenhouse gas emissions from the agriculture sector in the United States. Smaller amounts of GHG emissions include the burning of crop residues, which produces CH4 and N2O. Therefore, we encourage you to submit original research articles related to agricultural production systems, GHG emissions from agriculture, and climate mitigation practices as themes for a possible publication in this Special Issue.

Prof. Dr. Rameshwar Kanwar
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Sustainability is an international peer-reviewed open access semimonthly journal published by MDPI.

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Keywords

  • sustainable agricultural production systems
  • soil, air, and water pollution from agriculture
  • climate mitigation technologies and agricultural practices
  • management of forest lands to minimize GHG emissions and increase carbon sequestration
  • soil health
  • carbon sequestration and GHG emissions in agriculture
  • land management systems for agriculture and biodiversity
  • recycling of drainage water for agriculture
  • innovations in irrigation systems for rice and other crops of future innovative policies to implement technologies for mitigating climate change and pollution

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Published Papers (3 papers)

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Research

19 pages, 1230 KiB  
Article
The Influence of Climate Perception and Low-Carbon Awareness on the Emission Reduction Willingness of Decision Makers in Large-Scale Dairy Farming: Evidence from the Midwest of Inner Mongolia, China
by Pengjie Lu and Guanghua Qiao
Sustainability 2024, 16(17), 7421; https://doi.org/10.3390/su16177421 - 28 Aug 2024
Viewed by 1088
Abstract
In recent years, global climate change has profoundly influenced natural ecosystems and human societies, making climate mitigation and carbon emission reduction a point of consensus among the international community. The issue of carbon emissions in agriculture, particularly in the livestock sector, is garnering [...] Read more.
In recent years, global climate change has profoundly influenced natural ecosystems and human societies, making climate mitigation and carbon emission reduction a point of consensus among the international community. The issue of carbon emissions in agriculture, particularly in the livestock sector, is garnering increasing attention. This study focuses on large-scale dairy farms in the central and western regions of Inner Mongolia, exploring their low-carbon production behavioral intentions and influencing factors. By constructing a structural equation model (PLS-SEM), we systematically analyze the relationships between variables such as climate perception, value judgment, attitude, subjective norms, and perceived control and their combined effects on low-carbon production behavioral intentions. The findings suggest that the influence of climate perception and low-carbon awareness is mediated. Thus, the stronger the farm owners’ perception of climate change, the more they recognize the value of low-carbon production and the greater the social pressure they experience and their sense of self-efficacy. The farm owners’ attitudes, perceptions of social norms, and evaluations of their own capabilities collectively determine their intentions regarding low-carbon production. Furthermore, multi-group analysis showed significant heterogeneity in behavioral intentions between different scales of dairy farms. Small-scale farms, due to their weaker economic capacity, tend to harbor negative attitudes towards low-carbon production, while large-scale farms, with greater economic power and sensitivity to policy and market demands, are more likely to take low-carbon actions. This study provides theoretical support for formulating effective low-carbon policies, contributing to the sustainable development of the livestock sector and agriculture as a whole. Full article
(This article belongs to the Special Issue Climate Change and Sustainable Agricultural System)
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13 pages, 10457 KiB  
Article
Sustainability of Lolium multiflorum L. ‘Cajamarquino Ecotype’, Associated with Trifolium repens L., at Three Cutting Frequencies in the Northern Highlands of Peru
by Romy Vallejos-Cacho, Luis Asunción Vallejos-Fernández, Wuesley Yusmein Alvarez-García, Eduardo Alberto Tapia-Acosta, Sylvia Saldanha-Odriozola and Carlos Enrique Quilcate-Pairazaman
Sustainability 2024, 16(16), 6927; https://doi.org/10.3390/su16166927 - 13 Aug 2024
Cited by 1 | Viewed by 1113
Abstract
Livestock farming feed in the northern highlands of Peru is based on the association of ryegrass (Lolium multiflorum L.) ecotype cajamarquino–white clover (Trifolium repens L.) Ladino variety, which constantly varies in its agronomic characteristics and nutritional value due to management considerations [...] Read more.
Livestock farming feed in the northern highlands of Peru is based on the association of ryegrass (Lolium multiflorum L.) ecotype cajamarquino–white clover (Trifolium repens L.) Ladino variety, which constantly varies in its agronomic characteristics and nutritional value due to management considerations and its association with the soil and the animal. The objective of this study was to evaluate yield, plant height, growth rate, tillering, tiller number, spikelets, basal diameter in ryegrass, elongation rate, internode length and decline points in clover over one year. Nutritive value was represented by crude protein (CP), neutral detergent fibre (NDF), in vitro digestibility of dry matter (IVDDM) and metabolisable energy (ME) at three cutting frequencies (30, 45 and 60 days). Better yield (5588 kg DM ha) and plant height (47.1 cm) were shown by the 60-day cutting frequency; however, there was no difference (p > 0.05) between the three cutting frequencies in annual yield. There were no differences between the number of tillers and basal diameter. Clover height, elongation rate and internode length were higher at 60 days. The highest CP concentration and the lowest NDF value (p < 0.05) were achieved by clover at 30 and 45 days. Producers should consider the results when deciding when to use this association in dairy cattle feeding. Full article
(This article belongs to the Special Issue Climate Change and Sustainable Agricultural System)
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16 pages, 1705 KiB  
Article
Residue Management and Nutrient Stoichiometry Control Greenhouse Gas and Global Warming Potential Responses in Alfisols
by Dharmendra Singh, Sangeeta Lenka, Narendra Kumar Lenka, Dinesh Kumar Yadav, Shashi S. Yadav, Rameshwar S. Kanwar, Abhijit Sarkar and Jitendra Kushwaha
Sustainability 2024, 16(10), 3997; https://doi.org/10.3390/su16103997 - 10 May 2024
Cited by 3 | Viewed by 1102
Abstract
Although crop residue returns are extensively practiced in agriculture, large uncertainties remain about greenhouse gas (GHG) emissions and global warming potential (GWP) responses to residue return (RR) rates under different residue placements and nutrient supplements. We conducted a laboratory mesocosm experiment in Alfisol [...] Read more.
Although crop residue returns are extensively practiced in agriculture, large uncertainties remain about greenhouse gas (GHG) emissions and global warming potential (GWP) responses to residue return (RR) rates under different residue placements and nutrient supplements. We conducted a laboratory mesocosm experiment in Alfisol in central India to investigate the responses of soil GHG emissions (CO2, N2O, and CH4) and the global warming potential to four wheat RR rates (R0: no residue; R5: 5 Mg/ha; R10: 10 Mg/ha; R15: 15 Mg/ha) and two placements (surface [Rsur] and incorporated [Rinc]) under three nutrient supplement levels (NSLs) (NS0: no nutrients, NS1: nutrients (N and P) added to balance the stoichiometry of C:N:P to achieve 30% humification in RR at 5 t/ha, NS2: 3 × NS1). The results demonstrated a significant (p < 0.05) interaction effect of RR × NSL × residue placement on N2O emission. However, CH4 and GWP responses to the RR rate were independent of NSL. N2O fluxes ranged from −2.3 µg N2O-N kg−1 soil (R5 NS0 Rsur) to 43.8 µg N2O-N kg−1 soil (R10 NS2 Rinc). A non-linear quadratic model yielded the best fit for N2O emissions with RR rate (R2 ranging from 0.55 to 0.99) in all NSLs and residue placements. Co-applying wheat residue at 10 and 15 Mg/ha at NS1 reduced CH4 and N2O emissions (cf. R0 at NS1). However, increasing NSLs in NS2 reduced the nutrient stoichiometry to < 12:1 (C:N) and < 50:1 (C:P), which increased N2O emissions in all RR rates (cf. R0) across all residue placements. Averaged across nutrient levels and residue placements, the order of the effects of RR rates on CH4 emissions (µg C kg−1 soil) was R10 (5.5) > R5 (3.8) > R15 (2.6) > R0 (1.6). Our results demonstrated a significant linear response of total GWP to RR rates R15 > R10 > R5 > R0, ranging from 201.4 to 1563.6 mg CO2 eq kg−1 soil. In conclusion, quadratic/linear responses of GHGs to RR rates underscore the need to optimize RR rates with nutrient supplements and residue placement to reduce GHG emissions and GWP while ensuring optimal soil health and crop productivity. Full article
(This article belongs to the Special Issue Climate Change and Sustainable Agricultural System)
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