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13 results on '"Yeluripati, Jagadeesh B."'

7. Systems approaches in global change and biogeochemistry research

Author

Smith, Pete, Albanito, Fabrizio, Bell, Madeleine, Bellarby, Jessica, Blagodatskiy, Sergey, Datta, Arindam, Dondini, Marta, Fitton, Nuala, Flynn, Helen, Hastings, Astley, Hillier, Jon, Jones, Edward O., Kuhnert, Matthias, Nayak, Dali R., Pogson, Mark, Richards, Mark, Sozanska-Stanton, Gosia, Wang, Shifeng, Yeluripati, Jagadeesh B., Bottoms, Emily, Brown, Chris, Farmer, Jenny, Feliciano, Diana, Hao, Cui, Robertson, Andy, Vetter, Sylvia, Wong, Hon Man, and Smith, Jo

Published
2012

10. Response to Letter to the Editor “Comments on “Modelling soil organic carbon storage with RothC in irrigated Vertisols under cotton cropping systems in the sub-tropics” (Nimai Senapati, Nilantha R. Hulugalle, Pete Smith, Brian R. Wilson, Jagadeesh B. Yeluripati, Heiko Daniel, Subhadip Ghosh, Peter Lockwood. Soil & Tillage Research 143 (2014) 38–49)”

Author

Senapati, Nimai, Hulugalle, Nilantha R., Smith, Pete, Wilson, Brian R., Yeluripati, Jagadeesh B., Daniel, Heiko, Ghosh, Subhadip, and Lockwood, Peter

Published
2016
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11. Impacts of soil and weather data aggregation in spatial modelling of net primary production of croplands

Author

Matthias Kuhnert, Yeluripati, Jagadeesh B., Pete Smith, Holger Hoffmann, Julie Constantin, Elsa Coucheney, Rene Dechow, Henrik Eckersten, Thomas Gaiser, Balázs Grosz, Edwin Haas, Kurt-Christian Kersebaum, Ralf Kiese, Klatt, S., Elisabet Lewan, Claas Nendel, Helene Raynal, Sosa, C., Xenia Specka, Edmar Teixeira, Wang, E., Lutz Weihermueller, Gang Zhao, Zhigan Zhao, Frank Ewert, School of Biological Sciences [Aberdeen], University of Aberdeen, The James Hutton Institute, Crop Science Group, Rheinische Friedrich-Wilhelms-Universität Bonn, UMR : AGroécologie, Innovations, TeRritoires, Ecole Nationale Supérieure Agronomique de Toulouse, Department of Soil and Environment, Swedish University of Agricultural Sciences (SLU), Thünen Institute of Climate Smart Agriculture, Department of Crop Production Ecology, Karlsruhe Institute of Technology (KIT), Leibniz-Zentrum für Agrarlandschaftsforschung = Leibniz Centre for Agricultural Landscape Research (ZALF), Unité de Mathématiques et Informatique Appliquées de Toulouse (MIAT INRA), Institut National de la Recherche Agronomique (INRA), New Zealand Institute for Plant and Food Research Limited, CSIRO, Institute of Bio- and Geosciences Agrosphere (IBG-3), AGroécologie, Innovations, teRritoires (AGIR), Institut National de la Recherche Agronomique (INRA)-Institut National Polytechnique (Toulouse) (Toulouse INP), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées, Departement of Soil and Environment, and Plant & Food Research

Subjects
[SDV]Life Sciences [q-bio]
Abstract

Impacts of soil and weather data aggregation in spatial modelling of net primary production of croplands. iCROPM 2016 International Crop Modelling Symposium "Crop Modelling for Agriculture and Food Security under Global Change"

Published
2016

12. First 20 years of DNDC: Model evolution and GRAMP

Author

Gilshespy, S., Antony, S., Cárdenas, L.M., Chadwick, Dave, Prado, A. del, Li, Changsheng, Misselbrook, T, Rees, Robert M., Salas, William, Sanz Cobeña, Alberto, Smith, Pete, Tilston, Emma, Topp, C.F.E., Vetter, Sylvia H., and Yeluripati, Jagadeesh B.

Subjects
Agricultura
Abstract

The DNDC (DeNitrification and DeComposition) model was first developed by Li et al. (1992) as a rain event-driven process-orientated simulation model for nitrous oxide, carbon dioxide and nitrogen gas emissions from the agricultural soils in the U.S. Over the last 20 years, the model has been modified and adapted by various research groups around the world to suit specific purposes and circumstances. The Global Research Alliance Modelling Platform (GRAMP) is a UK-led initiative for the establishment of a purposeful and credible web-based platform initially aimed at users of the DNDC model. With the aim of improving the predictions of soil C and N cycling in the context of climate change the objectives of GRAMP are to: 1) to document the existing versions of the DNDC model; 2) to create a family tree of the individual DNDC versions; 3) to provide information on model use and development; and 4) to identify strengths, weaknesses and potential improvements for the model.

Published
2014

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