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Reducing uncertainty in nitrogen budgets for African livestock systems

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Reducing uncertainty in nitrogen budgets for African livestock systems. / Rufino, M. C.; Brandt, P.; Herrero, M.; Butterbach-Bahl, K.

In: Environmental Research Letters, Vol. 9, No. 10, 105008, 13.10.2014.

Research output: Contribution to Journal/MagazineJournal articlepeer-review

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Rufino, MC, Brandt, P, Herrero, M & Butterbach-Bahl, K 2014, 'Reducing uncertainty in nitrogen budgets for African livestock systems', Environmental Research Letters, vol. 9, no. 10, 105008. https://doi.org/10.1088/1748-9326/9/10/105008

APA

Rufino, M. C., Brandt, P., Herrero, M., & Butterbach-Bahl, K. (2014). Reducing uncertainty in nitrogen budgets for African livestock systems. Environmental Research Letters, 9(10), [105008]. https://doi.org/10.1088/1748-9326/9/10/105008

Vancouver

Rufino MC, Brandt P, Herrero M, Butterbach-Bahl K. Reducing uncertainty in nitrogen budgets for African livestock systems. Environmental Research Letters. 2014 Oct 13;9(10). 105008. https://doi.org/10.1088/1748-9326/9/10/105008

Author

Rufino, M. C. ; Brandt, P. ; Herrero, M. ; Butterbach-Bahl, K. / Reducing uncertainty in nitrogen budgets for African livestock systems. In: Environmental Research Letters. 2014 ; Vol. 9, No. 10.

Bibtex

@article{efc2a1682d584466a0bbf58c05a21e96,
title = "Reducing uncertainty in nitrogen budgets for African livestock systems",
abstract = "Livestock is poorly represented in N budgets for the African continent although some studies have examined livestock-related N flows at different levels. Livestock plays an important role in N cycling and therefore on N budgets including livestock-related flows. This study reviews the literature on N budgets for Africa to identify factors contributing to uncertainties. Livestock densities are usually modelled because of the lack of observational spatial data. Even though feed availability and quality varies across seasons, most studies use constant livestock excretion rates, and excreta are usually assumed to be uniformly distributed onto the land. Major uncertainties originate in the fraction of manure managed, and emission factors which may not reflect the situation of Africa. N budgets use coarse assumptions on production, availability, and use of crop residues as livestock feed. No flows between croplands-livestock and rangelands reflect the lack of data. Joint efforts are needed for spatial data collection of livestock data, crowdsourcing appears to be a promising option. The focus of the assessment of N budgets must go beyond croplands to include livestock and crop-livestock flows. We propose a nested systems definition of livestock systems to link local, regional level, and continental level and to increase the usefulness of point measurements of N losses. Scientists working at all levels should generate data to calibrate process-based models. Measurements in the field should not only concentrate on greenhouse gas emissions, but need to include crop and livestock production measurements, soil stock changes and other N loss pathways such as leaching, run-off and volatilization to assess management practices and trade-offs. Compared to the research done in other continents on N flows in livestock systems, there are few data for Africa, and therefore concerted effort will be needed to generate sufficient data for modelling.",
keywords = "emissions, flows, losses, systems, uncertainties",
author = "Rufino, {M. C.} and P. Brandt and M. Herrero and K. Butterbach-Bahl",
year = "2014",
month = oct,
day = "13",
doi = "10.1088/1748-9326/9/10/105008",
language = "English",
volume = "9",
journal = "Environmental Research Letters",
issn = "1748-9326",
publisher = "IOP Publishing Ltd",
number = "10",

}

RIS

TY - JOUR

T1 - Reducing uncertainty in nitrogen budgets for African livestock systems

AU - Rufino, M. C.

AU - Brandt, P.

AU - Herrero, M.

AU - Butterbach-Bahl, K.

PY - 2014/10/13

Y1 - 2014/10/13

N2 - Livestock is poorly represented in N budgets for the African continent although some studies have examined livestock-related N flows at different levels. Livestock plays an important role in N cycling and therefore on N budgets including livestock-related flows. This study reviews the literature on N budgets for Africa to identify factors contributing to uncertainties. Livestock densities are usually modelled because of the lack of observational spatial data. Even though feed availability and quality varies across seasons, most studies use constant livestock excretion rates, and excreta are usually assumed to be uniformly distributed onto the land. Major uncertainties originate in the fraction of manure managed, and emission factors which may not reflect the situation of Africa. N budgets use coarse assumptions on production, availability, and use of crop residues as livestock feed. No flows between croplands-livestock and rangelands reflect the lack of data. Joint efforts are needed for spatial data collection of livestock data, crowdsourcing appears to be a promising option. The focus of the assessment of N budgets must go beyond croplands to include livestock and crop-livestock flows. We propose a nested systems definition of livestock systems to link local, regional level, and continental level and to increase the usefulness of point measurements of N losses. Scientists working at all levels should generate data to calibrate process-based models. Measurements in the field should not only concentrate on greenhouse gas emissions, but need to include crop and livestock production measurements, soil stock changes and other N loss pathways such as leaching, run-off and volatilization to assess management practices and trade-offs. Compared to the research done in other continents on N flows in livestock systems, there are few data for Africa, and therefore concerted effort will be needed to generate sufficient data for modelling.

AB - Livestock is poorly represented in N budgets for the African continent although some studies have examined livestock-related N flows at different levels. Livestock plays an important role in N cycling and therefore on N budgets including livestock-related flows. This study reviews the literature on N budgets for Africa to identify factors contributing to uncertainties. Livestock densities are usually modelled because of the lack of observational spatial data. Even though feed availability and quality varies across seasons, most studies use constant livestock excretion rates, and excreta are usually assumed to be uniformly distributed onto the land. Major uncertainties originate in the fraction of manure managed, and emission factors which may not reflect the situation of Africa. N budgets use coarse assumptions on production, availability, and use of crop residues as livestock feed. No flows between croplands-livestock and rangelands reflect the lack of data. Joint efforts are needed for spatial data collection of livestock data, crowdsourcing appears to be a promising option. The focus of the assessment of N budgets must go beyond croplands to include livestock and crop-livestock flows. We propose a nested systems definition of livestock systems to link local, regional level, and continental level and to increase the usefulness of point measurements of N losses. Scientists working at all levels should generate data to calibrate process-based models. Measurements in the field should not only concentrate on greenhouse gas emissions, but need to include crop and livestock production measurements, soil stock changes and other N loss pathways such as leaching, run-off and volatilization to assess management practices and trade-offs. Compared to the research done in other continents on N flows in livestock systems, there are few data for Africa, and therefore concerted effort will be needed to generate sufficient data for modelling.

KW - emissions

KW - flows

KW - losses

KW - systems

KW - uncertainties

U2 - 10.1088/1748-9326/9/10/105008

DO - 10.1088/1748-9326/9/10/105008

M3 - Journal article

AN - SCOPUS:84907888741

VL - 9

JO - Environmental Research Letters

JF - Environmental Research Letters

SN - 1748-9326

IS - 10

M1 - 105008

ER -