Abstract: There is an important gap in how variations in herbivore dung composition affect GHG emissions on pastures, especially due to differences in dry matter (DM) and nitrogen contents. Oversimplifications can compromise the accuracy of mitigation strategies. This study aims to address this gap by investigating how the chemical composition of dung from different species influences GHG emissions in pasture systems. The results showed that drier dung led to higher cumulative N₂O emissions. The highest emissions were observed from goat at 9.47 mg N-N₂O g⁻ dry soil, followed by sheep at 5.95 mg N-N₂O g⁻ dry soil, beef cattle at 5.44 mg N₂O g⁻ dry soil, dairy cattle at 2.67 mg N₂O g⁻ dry soil, and horse at 0.83 mg N₂O g⁻ dry soil. It was observed that higher dung moisture content generally corresponded to increased CH₄ emissions, except for horse dung. The highest cumulative CH₄ emission was for dairy cattle dung (8.29 mg C-CH₄ g⁻ dry soil), followed by beef cattle (3.89 mg C-CH₄ g⁻ dry soil), sheep (2.32 mg C-CH₄ g⁻ dry soil), goats (1.89 mg C-CH₄ g⁻ dry soil), and horses (1.66 mg C-CH₄ g⁻ dry soil). Principal Component Analysis illustrated that PC, named as diet quality, explained 61.9% of the variance, was positively correlated with N₂O and negatively correlated with fiber content and C/N ratio, while PC, named as acetrophic and hydrogenotrophic methanogenesis, explained 19.6% of the variance, linking VS to reduced CH₄ emissions. This study establishes relationships between manure chemical composition and GHG emissions, filling a fundamental knowledge gap and supporting the development of cause-and-effect models.
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Overview
This study investigates how the chemical makeup of dung from different herbivores impacts greenhouse gas emissions, specifically nitrous oxide (N₂O) and methane (CH₄), in pasture soils.
Results find that variations in dry matter and nitrogen content of dung strongly influence the levels of these emissions, highlighting the importance of considering dung composition in mitigation strategies.
Background and Research Gap
Greenhouse gas (GHG) emissions from pasture soils largely come from microbial processes influenced by the nutrients and moisture in dung.
Previous studies often oversimplified by treating herbivore dung similarly without accounting for differences in chemical composition such as dry matter (DM) content and nitrogen levels.
This simplification can reduce the accuracy of predicting or mitigating GHG emissions in grassland systems.
The study aims to fill this knowledge gap by examining how dung from different species, with varying chemical profiles, affects N₂O and CH₄ emissions.
Methodology
Dung samples were collected from multiple herbivore species: goats, sheep, beef cattle, dairy cattle, and horses.
The chemical composition of dung was analyzed, focusing on dry matter content, nitrogen concentration, fiber content, and carbon to nitrogen (C/N) ratio.
GHG emissions of nitrous oxide (N₂O) and methane (CH₄) were measured from soil amended with these different dung types.
Statistical analyses, including Principal Component Analysis (PCA), were applied to identify relationships between dung composition and emission patterns.
Key Findings: Nitrous Oxide (N₂O) Emissions
There was a clear relationship between dung dryness and N₂O emissions: drier dung resulted in greater cumulative N₂O emissions.
The ranking of N₂O emissions by species was:
Goat dung: 9.47 mg N-N₂O per gram dry soil (highest)
Sheep dung: 5.95 mg
Beef cattle dung: 5.44 mg
Dairy cattle dung: 2.67 mg
Horse dung: 0.83 mg (lowest)
This indicates that the nitrogen content and moisture level in dung influence the microbial processes that generate nitrous oxide in soils.
Key Findings: Methane (CH₄) Emissions
Higher moisture content in dung generally led to increased methane emissions, with the exception of horse dung, which did not follow this trend.
This suggests that wetter dung promotes methanogenesis, possibly by creating anaerobic conditions favorable for methane-producing microbes.
Statistical Analysis and Interpretation
Principal Component Analysis (PCA) distilled complex dung composition data into major factors explaining variance in emissions:
PC1 (“diet quality”) explained 61.9% of variance
Positively correlated with N₂O emissions
Negatively correlated with fiber content and C/N ratio
This implies that dung with higher nitrogen and better diet quality leads to more N₂O production.
PC2 (“acetotrophic and hydrogenotrophic methanogenesis”) explained 19.6% of variance
Linked volatile solids (VS) to reduced methane emissions
Suggests that certain organic compounds in dung affect specific methane production pathways.
Significance and Implications
The study provides clear evidence that differences in herbivore dung composition have a direct, measurable impact on GHG emissions from pasture soils.
These empirical relationships offer a foundation for developing improved, compositional-based mitigation strategies rather than one-size-fits-all approaches.
By incorporating chemical composition data, models predicting GHG emissions from pasture systems will be more accurate, helping manage climate impact from livestock.
This research fills a major knowledge gap and contributes to better cause-and-effect understanding of manure management and its environmental outcomes.
Cite This Article
APA
Amaral Júnior FP, Souza de Sousa CE, Rafael de Almeida Moreira B, Rodrigues Alves BJ, Longhini VZ, da Silva Cardoso A, Ruggieri AC.
(2024).
How does the chemical composition of dung affect nitrous oxide and methane emissions in pasture soils?
J Environ Manage, 373, 123630.
https://doi.org/10.1016/j.jenvman.2024.123630
Department of Animal Science, School of Agricultural and Veterinary Sciences, Sao Paulo State University (UNESP), SP, Brazil. Electronic address: francisco.amaral@unesp.br.
Souza de Sousa, Camila Eduarda
Department of Animal Science, School of Agricultural and Veterinary Sciences, Sao Paulo State University (UNESP), SP, Brazil.
Rafael de Almeida Moreira, Bruno
Centre for Crop Sciences, Queensland Alliance for Agriculture and Food Innovation (QAAFI), The University of Queensland, St Lucia, QLD, Australia.
Rodrigues Alves, Bruno José
Brazilian Research Corporation (EMBRAPA), RJ, Brazil.
Longhini, Vanessa Zirondi
Federal University of Mato Grosso Do Sul (UFMS), MS, Brazil.
da Silva Cardoso, Abmael
University of Wisconsin, Madison, USA.
Ruggieri, Ana Cláudia
Department of Animal Science, School of Agricultural and Veterinary Sciences, Sao Paulo State University (UNESP), SP, Brazil.
MeSH Terms
Brazil
Grassland
Greenhouse Gases / chemistry
Horses
Manure / analysis
Methane
Nitrous Oxide
Ruminants
Soil / chemistry
Animals
Conflict of Interest Statement
Declaration of competing interest The authors declare that they have no competing interests in the research presented in this paper. There are no financial, personal, or professional affiliations that could influence the objectivity, integrity, or impartiality of the information presented.