Scientific Publications

Cashman, O., Casey, I., Sorley, M., Forrestal, P., Styles, D., Wall D., Burchill W., Humphreys, J., 2025.

Lowering the greenhouse gas and ammonia emissions from grassland-based dairy production

Agricultural Systems, Volume 222.

Caulfield, M., Graham, M., Gibbons, J,. McNicol, L,. Williams, P,. Chadwick D,. Gakige, J., Wilkes, A., Kimoro, B,. Arndt, C., 2025.
Marginal abatement cost curves of climate-smart agricultural practices to mitigate greenhouse gas emissions from smallholder dairy farms in Kenya
Journal of Cleaner Production, Volume 501, 2025, 145281.

 

del Prado, A., Vibart, R. E., Bilotto, F. M., Faverin, C., Garcia, F., Henrique, F. L., Figueiredo Granja Dorilêo Leite, F., Mazzetto, A. M., Ridoutt, B. G., Yáñez-Ruiz, D. R., Bannink, A., 2025.

Feed additives for methane mitigation: assessment of feed additives as a strategy to mitigate enteric methane from ruminants—accounting; how to quantify the mitigating potential of using antimethanogenic feed additives

Journal of Dairy Science, 108(1), 411–429.  

del Prado, A., Pauné, F., Serrano-Zulueta, R., Baez, J. C., Batalla, I., de Tomassi, C., Fries, R., Guzmán, J., Manzano, P., Márquez, C., Martínez-Cano, V., Pardo, G., Yamat, L., (2025) 

An in-depth approach on ecological and social processes improve quantifying the climatic impact of food production

PLOS Clim 4(6): e0000655. 

Diaz de Otálora, X. D., del Prado, A. Dragoni, F., Balaine, L., Pardo, G., Winiwarter, W., Sandrucci, A., Ragaglini, G., Kabelitz, T., Kieronczyk, M., Jørgensen, G., Estellés, F., Amon, B., 2024.

Modelling the effect of context-specific greenhouse gas and nitrogen emission mitigation options in key European dairy farming systems

Agronomy for Sustainable Development, Volume 44.

Evans, F., Gibbons, J., Chadwick D., Gittins, H., Williams, P., Wynne-Jones, S., 2025.
It’s ‘common-sense’ farming”: Exploring farmers’ decision-making and behaviours towards adopting circular agricultural practices
Journal of Rural Studies, Volume 120, 2025, 103844.

Manzano, P., del Prado, A., & Pardo, G., 2023.

Comparable GHG emissions from animals in wildlife and livestock-dominated savannas

npj Climate and Atmospheric Science, 6, Article number: 27.

Manzano, P., Pardo, G., Itani, M. A., del Prado, A. 2023.

Underrated past herbivore densities could lead to misoriented sustainability policies

npj Biodiversity, 2, Article number: 2. 

McCarthy, T., Wall D.P., Forrestal P.J. , Casey J, I.A., Humphreys, J., 2024. 

Circularity of potassium in a grassland-based dairy farm on a clay loam soil

European Journal of Agronomy, Volume 160.

Müller, AL., Kiese, R.  & Scheer C., 2025.

Carbon footprints of European dairy darming: the role of drained peatlands in GHG assessments 

 npj Sustain. Agric. 3, 44.

Pardo, G., Casas, R., del Prado, A., Manzano, P. 2023.

Carbon footprint of transhumant sheep farms: accounting for natural baseline emissions in Mediterranean systems

International Journal of Life Cycle Assessment, Volume 29. 

Serrano-Zulueta, R., Pardo, G. Pauné, F., del Prado A, Manzano, P., 2023.

Herbivory baseline estimates in Spanish protected areas, and environmental implications 

Landscape Ecology, Volume 38.

Sorley, M., Casey I., Styles D., Merino P., Trindade H., Mulholland M., Cesar Resch Zafra C. R., Keatinge R., Le Gall A., O’Brien D., Humphreys J., 2024.  

Factors influencing the carbon footprint of milk production on dairy farms with different feeding strategies in western Europe

Journal of Cleaner Production, Volume 435.

van Hove, A., Aalstad, K., Pirk, N. 2023. 

Using reinforcement learning to improve drone-based inference of greenhouse gas fluxes

Nordic Machine Intelligence, 3, 1-6.

van Hove, A., Aalstad, K., Pirk, N. 2024. 

Guiding drones by information gain 

Proceedings of the 5th Northern Lights Deep Learning Conference, 

Proceedings of Machine Learning Research 233:89-96 

van Hove, A., Aalstad, K., Lind, V., Arndt, C., Odongo, V., Ceriani, R., Fava, F., Hulth, J., and Pirk, N.2024. 

Inferring methane emissions from African livestock by fusing drone, tower, and satellite data  

Biogeosciences, 22, 4163–4186.

Waarum, IK., van Hove, A., Krogstad, T.R. et al. 2025

Mixtures of Gaussian processes for robotic environmental monitoring of emission sources. 

Environ Monit Assess 197, 626. 

Scientific presentations

Evans, F., Williams, P., Gibbons, J., Chadwick, D., Wynne-Jones, S. 2023. 

Exploring farmers’ decision-making and behaviours towards adopting circularity in agriculture.

International Agri-Food and Climate Circle conference, Copenhagen (Denmark). Poster and 2-min pitch.

Müller Anna-Lena, Guillermo Pardo, Sebastian Friedrich, Ralf Kiese, Clemens Scheer (2025)

Carbon footprints of dairy farming in the pre-alpine region of Southern Germany – The climate impact of drained peatlands in milk production.

International Grassland Conference, from July 15 to 17, 2025, at the IMK-IFU/KIT in Garmisch-Partenkirchen.  

Pardo G., Casas R., del Pardo, A., Manzano, P., 

Huella climática en sistemas ganaderos trashumantes: alta eficiencia con bajos insumos externos.

Proceedings of the X Remedia Workshop Córdoba 22-21 april. Producción ecológica, sostenibilidad y economía

circular frente al cambio climático. Córdoba 21-22 de abril de 2022, page 81.

Pardo, G., Sorley, M., Styles, D., Prado, A. 2024.

Methodological framework to evaluate circularity in livestock systems. 

14th edition of the LCA Food International Conference (Spain). Poster.

Pavesi M., Sari S., Pirondini M., Gislon G., Bava L., Colombini S. 2023. 

Circularity practices and environmental sustainability: The use of bakery by products in feed ratio of dairy cows in a challenging year. 

“Aissa under 40” (Italy). Poster.

M. Pavesi, L. Bava, G. Galassi, M. Battelli, G. Gambarini, A. Giorgino, S. Colombini. 2024.

Effect of feed ingredient based on processed former foodstuff in dairy cow diet: performance and environmental impact.

75th EAAP Annual Meeting held in Florence from September 1-5, 2024.

Prado A., Manzano p., Pardo G.

When the baseline meets the present: reactive N emissions in wildlifevs. livestock-dominated African landscapes, 

Proceedings of the XXI International Nitrogen Workshop. Halving nitrogen waste by 2030 24th – 28th October 2022, page 171. 

Sitienei, D.K., Gurmu, E.B., Wilkes, A., Poole, J., Marquardt, S., Ndung’u, P., Onyango, A.A., Merbold, L., del Prado, A., Pardo, G., Wisser, D., Lanzoni, L., Scholtz, M., Katongole, C., Lind, V., Assouma, M.H., Dossa, L.H., du Toit, L., Rosenstock, T., Steward, P., Kagai, J., Tadese, M., Gibbons, J., Odubote, I.K., Bateki, C.A., Kimoro, B., Bronsvoort, B.M.C. and Arndt, C. 2024. 

Protocol for a Tier 2 approach to generate context-specific enteric methane emission factors (EF) for small ruminants’ production systems based on IPCC method 

ILRI Manual 76. Nairobi, Kenya: ILRI.

Gurmu, E.B., Wilkes, A., Poole, J., Marquardt, S., Ndun’gu, P., Onyango, A.A., Merbold, L., Kori, D., del Prado, A., Pardo, G., Wisser, D., Lanzoni, L., Scholtz, M., Katongole, C., Lind, V., Assouma, M.H., Dossa, L.H., du Toit, L., Rosenstock, T., Steward, P., Kagai, J., Tadese, M., Gibbons, J., Odubote, I.K., Bateki, C.A., Kimoro, B., Bronsvoort, B.M.C. and Arndt, C. 2024. 

Protocol for a Tier 2 approach to generate context-specific enteric methane emission factors (EF) for cattle production systems using IPCC method 

ILRI Manual 77. Nairobi, Kenya: ILRI.

Scientific presentations

Evans, F., Williams, P., Gibbons, J., Chadwick, D., Wynne-Jones, S. 2023. 

Exploring farmers’ decision-making and behaviours towards adopting circularity in agriculture.

International Agri-Food and Climate Circle conference, Copenhagen (Denmark). Poster and 2-min pitch.

Pardo, G., Sorley, M., Styles, D., Prado, A. 2024.

Methodological framework to evaluate circularity in livestock systems. 

14th edition of the LCA Food International Conference (Spain). Poster.

Pavesi M., Sari S., Pirondini M., Gislon G., Bava L., Colombini S. 2023. 

Circularity practices and environmental sustainability: The use of bakery by products in feed ratio of dairy cows in a challenging year. 

“Aissa under 40” (Italy). Poster.

Scientific Publications

Cashman, O., Casey, I., Sorley, M., Forrestal, P., Styles, D., Wall D., Burchill W., Humphreys, J., 2025.

Lowering the greenhouse gas and ammonia emissions from grassland-based dairy production

Agricultural Systems, Volume 222.

Diaz de Otálora, X. D., del Prado, A. Dragoni, F., Balaine, L., Pardo, G., Winiwarter, W., Sandrucci, A., Ragaglini, G., Kabelitz, T., Kieronczyk, M., Jørgensen, G., Estellés, F., Amon, B., 2024.

Modelling the effect of context-specific greenhouse gas and nitrogen emission mitigation options in key European dairy farming systems

Agronomy for Sustainable Development, Volume 44.

Manzano, P., del Prado, A., & Pardo, G., 2023.

Comparable GHG emissions from animals in wildlife and livestock-dominated savannas

npj Climate and Atmospheric Science, 6, Article number: 27

Manzano, P., Pardo, G., Itani, M. A., del Prado, A. 2023.

Underrated past herbivore densities could lead to misoriented sustainability policies

npj Biodiversity, 2, Article number: 2 

McCarthy, T., Wall D.P., Forrestal P.J. , Casey J, I.A., Humphreys, J., 2024. 

Circularity of potassium in a grassland-based dairy farm on a clay loam soil

European Journal of Agronomy, Volume 160.

Pardo, G., Casas, R., del Prado, A., Manzano, P. 2023.

Carbon footprint of transhumant sheep farms: accounting for natural baseline emissions in Mediterranean systems.

International Journal of Life Cycle Assessment, Volume 29. 

Serrano-Zulueta, R., Pardo, G. Pauné, F., del Prado A, Manzano, P., 2023.

Herbivory baseline estimates in Spanish protected areas, and environmental implications 

Landscape Ecology, Volume 38.

Sorley, M., Casey I., Styles D., Merino P., Trindade H., Mulholland M., Cesar Resch Zafra C. R., Keatinge R., Le Gall A., O’Brien D., Humphreys J., 2024.  

Factors influencing the carbon footprint of milk production on dairy farms with different feeding strategies in western Europe

Journal of Cleaner Production, Volume 435.

van Hove, A., Aalstad, K., Pirk, N. 2023. 

Using reinforcement learning to improve drone-based inference of greenhouse gas fluxes

Nordic Machine Intelligence, 3, 1-6.