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Klosterhalfen, A.; Weihermüller, L.; Herbst, M.; Schmidt, M.; Vanderborght, J.; Vereecken, H. |
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Title |
AgroC – Development and Evaluation of a Model for Carbon Fluxes in Agroecosystems |
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Conference Article |
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Year |
2014 |
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CropM |
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2014 AGU Fall Meeting, San Francisco, USA, 2014-12-15 to 2014-12-19 |
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MA @ admin @ |
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2544 |
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Author |
Klosterhalfen, A.; Herbst, M.; Schmidt, M.; Weihermüller, L.; Vanderborght, J.; Vereecken, H. |
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Title |
AgroC – Development and evaluation of a model for carbon fluxes in agroecosystems |
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Conference Article |
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Year |
2015 |
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CropM |
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European GeoSciences Union (EGU), General Assembly 2015, 2015-12-04 to 2015-04-17 |
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no |
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MA @ admin @ |
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2546 |
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Author |
Klosterhalfen, A.; Herbst, M.; Schmidt, M.; Vereecken, H.; Weihermüller, L. |
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Title |
AgroC – Development and First Evaluation of a Model for Carbon Fluxes in Agroecosystems |
Type |
Conference Article |
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Year |
2014 |
Publication |
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Abbreviated Journal |
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CropM |
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MACSUR CropM International Symposium and Workshop: Modelling climate change impacts on crop production for food security, Oslo, Norway, 2014-02-10 to 2014-02-12 |
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no |
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MA @ admin @ |
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2545 |
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Author |
Klatt, S.; Kraus, D.; Rahn, K.-H.; Werner, C.; Kiese, R.; Butterbach-Bahl, K.; Haas, E. |
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Title |
Parameter-induced uncertainty quantification of a regional N2O and NO3 inventory using the biogeochemical model LandscapeDNDC |
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2014 |
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CropM |
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no |
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Call Number |
MA @ admin @ |
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2542 |
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Author |
Kipling, R.P.; Topp, C.F.E.; Bannink, A.; Bartley, D.J.; Blanco-Penedo, I.; Cortignani, R.; del Prado, A.; Dono, G.; Faverdin, P.; Graux, A.-I.; Hutchings, N.J.; Lauwers, L.; Gulzari, S.O.; Reidsma, P.; Rolinski, S.; Ruiz-Ramos, M.; Sandars, D.L.; Sandor, R.; Schoenhart, M.; Seddaiu, G.; van Middelkoop, J.; Shrestha, S.; Weindl, I.; Eory, V. |
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Title |
To what extent is climate change adaptation a novel challenge for agricultural modellers |
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Journal Article |
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Year |
2019 |
Publication |
Environmental Modelling & Software |
Abbreviated Journal |
Env. Model. Softw. |
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120 |
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Pages |
Unsp 104492 |
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Keywords |
Adaptation; Agricultural modelling; Climate change; Research challenges; greenhouse-gas emissions; farm-level adaptation; land-use; food; security; adapting agriculture; livestock production; decision-making; change impacts; dairy farms; crop |
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Abstract |
Modelling is key to adapting agriculture to climate change (CC), facilitating evaluation of the impacts and efficacy of adaptation measures, and the design of optimal strategies. Although there are many challenges to modelling agricultural CC adaptation, it is unclear whether these are novel or, whether adaptation merely adds new motivations to old challenges. Here, qualitative analysis of modellers’ views revealed three categories of challenge: Content, Use, and Capacity. Triangulation of findings with reviews of agricultural modelling and Climate Change Risk Assessment was then used to highlight challenges specific to modelling adaptation. These were refined through literature review, focussing attention on how the progressive nature of CC affects the role and impact of modelling. Specific challenges identified were: Scope of adaptations modelled, Information on future adaptation, Collaboration to tackle novel challenges, Optimisation under progressive change with thresholds, and Responsibility given the sensitivity of future outcomes to initial choices under progressive change. |
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Address |
2020-02-14 |
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Language |
English |
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1364-8152 |
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LiveM, ft_macsur |
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Call Number |
MA @ admin @ |
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5223 |
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