Gonzalo Irisarri

NameGonzalo Irisarri
Job titleResearch Scientist
Email addressgonzalo.irisarri@rothamsted.ac.uk
DepartmentNet Zero and Resilient Farming
ORCIDhttps://orcid.org/0000-0001-8610-3040
OfficeNorth Wyke

Research outputs

Comparison of direct and indirect soil organic carbon prediction at farm field scale

Segura, C., Neal, A. L., Castro-Sardina, L., Harris, P., Rivero, M. J., Cardenas, L. M. and Irisarri, G. 2024. Comparison of direct and indirect soil organic carbon prediction at farm field scale. Journal of Environmental Management. 365 (August), p. 121573. https://doi.org/10.1016/j.jenvman.2024.121573

Long-term monitoring of pasture dry matter production across fields with different pasture types, as assessed by rising plate meter

Jones, A., Resendez-Sepulveda, M., Powe, C., Le-Grice, P., Irisarri, G., Griffith, B. A., Wyness, A. and Harris, P. 2024. Long-term monitoring of pasture dry matter production across fields with different pasture types, as assessed by rising plate meter. Rothamsted Research. https://doi.org/10.23637/rothamsted.99077

Field features of the North Wyke Farm Platform: weather, topography, soil, ecosystem services provision index and management

Segura, C., Neal, A. L., Castro-Sardina, L. and Irisarri, G. 2023. Field features of the North Wyke Farm Platform: weather, topography, soil, ecosystem services provision index and management . Rothamsted Research. https://doi.org/10.23637/rothamsted.98y60

Trends of Aboveground Net Primary Productivity of Patagonian Meadows, the Omitted Ecosystem in Desertification Studies

Curcio, M., Irisarri, G., Martinez, G. G. and Oesterheld, M. 2023. Trends of Aboveground Net Primary Productivity of Patagonian Meadows, the Omitted Ecosystem in Desertification Studies. Remote Sensing. 15 (10), p. 2531. https://doi.org/10.3390/rs15102531

Calibrating APSIM for forage sorghum using remote sensing and field data under sub-optimal growth conditions

Della Nave, F., Ojeda, J. J., Irisarri, G. J. N., Pembleton, K., Oyarzabal, M. and Oesterheld, M. 2022. Calibrating APSIM for forage sorghum using remote sensing and field data under sub-optimal growth conditions. Agricultural Systems. 201, p. 103459. https://doi.org/10.1016/j.agsy.2022.103459

Remotely Sensed Spatiotemporal Variation in Crude Protein of Shortgrass Steppe Forage

Irisarri, G., Durante, M., Derner, J. D., Oesterheld, M. and Augustine, D. J. 2022. Remotely Sensed Spatiotemporal Variation in Crude Protein of Shortgrass Steppe Forage. Remote Sensing. 14 (4), p. 854. https://doi.org/10.3390/rs14040854

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