Carbon and water footprints of major crop production in India

Autor: Amaresh Kumar NAYAK, Rahul TRIPATHI, Manish DEBNATH, Chinmaya Kumar SWAIN, Biswaranjan DHAL, Shanmugam VIJAYKUMAR, Anshuman Debasis NAYAK, Sangita MOHANTY, Mohammad SHAHID, Anjani KUMAR, Manoj RAJAK, Khitish Chandra MOHARANA, Dibyendu CHATTERJEE, Susmita MUNDA, Pravat GURU, Rubina KHANAM, Banwari LAL, Priyanka GAUTAM, Suschismita PATTANAIK, Arvind Kumar SHUKLA, Nuala FITTON, Pete SMITH, Himanshu PATHAK

Publikováno v: Pedosphere. 33:448-462

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::33d042d217111ec96d2fad7d395519be
https://doi.org/10.1016/j.pedsph.2022.06.045

Assessment of ecosystem services of rice farms in eastern India

Autor: A. K. Nayak, Md Shahid, A. D. Nayak, B. Dhal, K. C. Moharana, B. Mondal, R. Tripathi, S. D. Mohapatra, P. Bhattacharyya, N. N. Jambhulkar, A. K. Shukla, Nuala Fitton, Pete Smith, H. Pathak

Publikováno v: Ecological Processes, Vol 8, Iss 1, Pp 1-16 (2019)

Abstract Background Rice is a major cereal crop and staple food of eastern India, and most farmers depend solely on rice for their livelihood. Rice farming provides both tangible and non-tangible benefits to ecosystems which need to be maintained and

Externí odkaz: https://doaj.org/article/253f3f55336242b699cc54e7a8db3ef7

Food and nutrition security under global trade: a relation-driven agent-based global trade model

Autor: Jiaqi Ge, J. Gareth Polhill, Jennie I. Macdiarmid, Nuala Fitton, Pete Smith, Heather Clark, Terry Dawson, Mukta Aphale

Publikováno v: Royal Society Open Science, Vol 8, Iss 1 (2021)

This paper addresses the highly relevant and timely issues of global trade and food security by developing an empirically grounded, relation-driven agent-based global trade model. Contrary to most price-driven trade models in the literature, the rela

Externí odkaz: https://doaj.org/article/860de54b5cec47ee8b1b6dfa279deca9

There is a growing realization that the complexity of model ensemble studies depends not only on the models used but also on the experience and approach used by modelers to calibrate and validate results, which remain a source of uncertainty. Here, we applied a multi-criteria decision-making method to investigate the rationale applied by modelers in a model ensemble study where 12 process-based different biogeochemical model types were compared across five successive calibration stages. The modelers shared a common level of agreement about the importance of the variables used to initialize their models for calibration. However, we found inconsistency among modelers when judging the importance of input variables across different calibration stages. The level of subjective weighting attributed by modelers to calibration data decreased sequentially as the extent and number of variables provided increased. In this context, the perceived importance attributed to variables such as the fertilization rate, irrigation regime, soil texture, pH, and initial levels of soil organic carbon and nitrogen stocks was statistically different when classified according to model types. The importance attributed to input variables such as experimental duration, gross primary production, and netecosystem exchange varied significantly according to the length of the modeler’s experience. We argue that the gradual access to input data across the five calibration stages negatively influenced the consistency of the interpretations made by the modelers, with cognitive bias in 'trial-and-error' calibration routines. Our study highlights that overlooking human and social attributes is critical in the outcomes of modeling and model intercomparison studies. While complexity of the processes captured in the model algorithms and parameterization is important, we contend that (1) the modeler’s assumptions on the extent to which parameters should be altered and (2) modeler perceptions of the importance of model parameters are just as critical in obtaining a quality model calibration as numerical or analytical details

Autor: Fabrizio Albanito, David McBey, Matthew Harrison, Pete Smith, Fiona Ehrhardt, Arti Bhatia, Gianni Bellocchi, Lorenzo Brilli, Marco Carozzi, Karen Christie, Jordi Doltra, Christopher Dorich, Luca Doro, Peter Grace, Brian Grant, Joël Léonard, Mark Liebig, Cameron Ludemann, Raphael Martin, Elizabeth Meier, Rachelle Meyer, Massimiliano De Antoni Migliorati, Vasileios Myrgiotis, Sylvie Recous, Renáta Sándor, Val Snow, Jean-François Soussana, Ward N. Smith, Nuala Fitton

Publikováno v: Environmental Science and Technology
Environmental Science and Technology, 2022, 56 (18), pp.13485-13498. ⟨10.1021/acs.est.2c02023⟩

There is a growing realization that the complexity of model ensemble studies depends not only on the models used but also on the experience and approach used by modelers to calibrate and validate results, which remain a source of uncertainty. Here, w

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1dbadd6d00dc3c224b9a39e130d3e55e
https://pubmed.ncbi.nlm.nih.gov/36052879

Assessing life cycle environmental impacts of inoculating soybeans in Argentina with Bradyrhizobium japonicum

Autor: Claus Nordstrøm Scheel, Nuala Fitton, Angelica Mendoza Beltran, Jannick Højrup Schmidt, Jesper Hedal Kløverpris

Publikováno v: Mendoza Beltran, A, Scheel, C N, Fitton, N, Schmidt, J & Kløverpris, J H 2021, ' Assessing life cycle environmental impacts of inoculating soybeans in Argentina with Bradyrhizobium japonicum ', International Journal of Life Cycle Assessment, vol. 26, no. 8, pp. 1570-1585 . https://doi.org/10.1007/s11367-021-01929-7

PurposeTo estimate life cycle impacts from introducing the yield-enhancing inoculant containing the nitrogen-fixing bacteriumBradyrhizobium japonicumand the signal molecule lipochitooligosaccharide (LCO) in Argentinian soybean production. The study f

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3745679c0c890b05f79ee85a0eb6db09
https://vbn.aau.dk/ws/files/467139179/MendozaBeltran2021_Article_AssessingLifeCycleEnvironmenta.pdf