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of 42
pro vyhledávání: '"Joanna Sharp"'
Autor:
Iris Vogeler, Linda Lilburne, Trevor Webb, Rogerio Cichota, Joanna Sharp, Sam Carrick, Hamish Brown, Val Snow
Publikováno v:
MethodsX, Vol 9, Iss , Pp 101632- (2022)
Agroecosystem models have become an important tool for impact assessment studies, and their results are often used for management and policy decisions. Soil information is a key input for these models, yet site-specific soil property data are often n
Externí odkaz:
https://doaj.org/article/2b0a00afb6bd468ea513d1a777dfacb1
Autor:
Rogerio Cichota, Iris Vogeler, Joanna Sharp, Kirsten Verburg, Neil Huth, Dean Holzworth, Neal Dalgliesh, Val Snow
Publikováno v:
MethodsX, Vol 8, Iss , Pp 101566- (2021)
Soil processes have a major impact on agroecosystems, controlling water and nutrient cycling, regulating plant growth and losses to the wider environment. Process-based agroecosystem simulation models generally encompass detailed descriptions of the
Externí odkaz:
https://doaj.org/article/46050144bf6748f6886deafcf3c9355b
Publikováno v:
Soil Research. 61:176-186
Context The performance of process-based agroecosystem simulation models is highly sensitive to the numerous input parameters, many associated with high variability and uncertainty. Aims Our aims were to: (1) test the accuracy of the Agricultural Pro
Publikováno v:
Pedosphere. 29:195-203
There is a well-recognized need for improved fractionation methods to partition soil organic matter into functional pools. Physical separation based on particle size is widely used, yielding particulate organic matter (POM, i.e., free or “uncomplex
Autor:
Elizabeth Pattey, Ute Skiba, Brian Grant, Gianni Bellocchi, Katja Klumpp, Pete Smith, Matthew T. Harrison, Val Snow, Sylvie Recous, Joanna Sharp, Fiona Ehrhardt, Arti Bhatia, Joël Léonard, Raphaël Martin, Andrew D. Moore, Jordi Doltra, Renata Sándor, Lorenzo Brilli, Jean-François Soussana, Peter Grace, Susanne Rolinski, Ward Smith, Vasileios Myrgiotis, Raia Silvia Massad, Qing Zhang, Miko U. F. Kirschbaum, Lianhai Wu, Nuala Fitton, Luca Doro, Bruno Basso, Christopher D. Dorich, Patricia Laville
Publikováno v:
IRTA Pubpro. Open Digital Archive
Institut de Recerca i Tecnologia Agroalimentàries (IRTA)
Field Crops Research
Field Crops Research, Elsevier, 2020, ⟨10.1016/j.fcr.2020.107791⟩
Field Crops Research, 2020, ⟨10.1016/j.fcr.2020.107791⟩
Institut de Recerca i Tecnologia Agroalimentàries (IRTA)
Field Crops Research
Field Crops Research, Elsevier, 2020, ⟨10.1016/j.fcr.2020.107791⟩
Field Crops Research, 2020, ⟨10.1016/j.fcr.2020.107791⟩
Croplands and grasslands are agricultural systems that contribute to land–atmosphere exchanges of carbon (C). We evaluated and compared gross primary production (GPP), ecosystem respiration (RECO), net ecosystem exchange (NEE) of CO2, and two deriv
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5910ff0af48dcc5043477b69767e3df4
http://hdl.handle.net/20.500.12327/824
http://hdl.handle.net/20.500.12327/824
Autor:
Brent Clothier, Steve Thomas, Dean Holzworth, Sam Carrick, Karin Müller, Joanna Sharp, Hamish E. Brown, Rogerio Cichota
Publikováno v:
Computers & Geosciences. 113:33-42
In modelling the hydrology of Earth's critical zone, there are two major challenges. The first is to understand and model the processes of infiltration, runoff, redistribution and root-water uptake in structured soils that exhibit preferential flows
Autor:
Dean Holzworth, Neil Huth, Kirsten Verburg, Val Snow, Joanna Sharp, Rogerio Cichota, Iris Vogeler, N. P. Dalgliesh
Publikováno v:
MethodsX, Vol 8, Iss, Pp 101566-(2021)
MethodsX
MethodsX
Highlights • Introducing the models and user interface for characterising a soil in APSIM simulations. • Listing and describing the parameters needed for building soil descriptions in APSIM. • Providing recommendations for good practice when se
Autor:
E. D. Meenken, Denis Curtin, P. M. Fraser, N Shaw, E.N. Khaembah, Steve Thomas, Brendon J. Malcolm, Joanna Sharp, Paul Johnstone, R.F. Zyskowski, Hamish E. Brown, John de Ruiter, Edmar Teixeira, E. Chakwizira
Publikováno v:
Agriculture, Ecosystems & Environment. 220:226-235
The effectiveness of growing winter cover crops to mitigate nitrogen (N) leaching can be widely variable, even within a single climatic zone. We sought to investigate key drivers of this variability for the Canterbury Plains of New Zealand. First, th
Publikováno v:
Environmental Modelling & Software. 72:304-313
Most climate impact assessments for food production simulate single crops with re-initialised soil conditions. However, crop rotations with multiple crops are used in many agricultural regions worldwide. This case-study compares methods to aggregate
Autor:
Fiona Ehrhardt, Mark A. Liebig, Raphaël Martin, Jordi Doltra, Russel McAuliffe, Val Snow, Joël Léonard, Andrew D. Moore, Stephanie K. Jones, Lutz Merbold, Pete Smith, Lianhai Wu, Elizabeth A. Meier, Paul C. D. Newton, Arti Bhatia, Gianni Bellocchi, Massimiliano De Antoni Migliorati, Miko U. F. Kirschbaum, Ward Smith, Brian Grant, Renáta Sándor, Joanna Sharp, Lorenzo Brilli, Nuala Fitton, Jean-François Soussana, Elizabeth Pattey, Luca Doro, Katja Klumpp, Christopher D. Dorich, Bruno Basso, Raia Silvia Massad, Sylvie Recous, Patricia Laville, Qing Zhang, Matthew T. Harrison, Sandro José Giacomini, Susanne Rolinski, Mark Lieffering, Peter Grace, Vasileios Myrgiotis
Publikováno v:
Global Change Biology
Global Change Biology, Wiley, 2018, 24 (2), pp.e603-e616. ⟨10.1111/gcb.13965⟩
Global Change Biology, 24 (2)
Global Change Biology, 2018, 24 (2), pp.e603-e616. ⟨10.1111/gcb.13965⟩
Global Change Biology, Wiley, 2018, 24 (2), pp.e603-e616. ⟨10.1111/gcb.13965⟩
Global Change Biology, 24 (2)
Global Change Biology, 2018, 24 (2), pp.e603-e616. ⟨10.1111/gcb.13965⟩
International audience; Simulation models are extensively used to predict agricultural productivity and greenhouse gas emissions. However, the uncertainties of (reduced) model ensemble simulations have not been assessed systematically for variables a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::510dbcd19d15faa2b0f6279fc61e6dd6