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Author |
Curnel, Y. |
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Title |
Satellite remote sensing priorities for better assimilation in crop growth models: winter wheat LAI and grassland mowing dates case studies |
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Book Whole |
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Year |
2015 |
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Thesis |
Ph.D. thesis |
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Publisher |
Université Catholique de Louvain |
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Louvain |
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PhD |
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PhD |
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CropM, LiveM |
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Call Number |
MA @ admin @ |
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5157 |
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Author |
Piccard, I.; Gobin, A.; Curnel, Y.; Goffart, J.-P.; Planchon, V.; Wellens, J.; Tychon, B.; Cattoor, N.; Cools, R. |
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Title |
iPot: Improved potato monitoring in Belgium using remote sensing and crop growth modelling |
Type |
Conference Article |
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Year |
2016 |
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Vienna (Austria) |
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European GeoSciences Union (EGU), General Assembly 2016 |
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Series Volume |
18 |
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Geophysical Research Abstracts, 2016-04-17 to 2016-04-22, Vienna |
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no |
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Call Number |
MA @ admin @ |
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4890 |
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Author |
Curnel, Y.R.W. |
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Title |
Meteorological risks as drivers of environmental innovation in agro-ecosystem management |
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Conference Article |
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Year |
2014 |
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Abstract |
The extreme weather events, projected to increase both in frequency and magnitude with climate change have significant impact on agro-ecosystem services and pose severe limitations to sustainable agricultural land management. The proposed activities start from the hypothesis that these meteorological risks act as drivers of environmental innovation in agro-ecosystem management. These activities deal with risks associated with extreme weather phenomena and with risks of biological origin (e.g. pests and diseases). In order to reach this objective, the following elements of the chain of risk should be considered: • Hazard (assessment of the likely frequency and magnitude of extreme meteorological events)• Impact (analysis of the potential bio-physical and socio-economic impact of extreme weather events on agro-ecosystems)• Vulnerability (identification of the most vulnerable agro-ecosystems)• Risk Management (uncovering innovative risk management and adaptation options)These activities will concentrate on promoting a robust and flexible framework by demonstrating its performance across Belgian agro-ecosystems, and by ensuring its relevance to policy makers and practitioners. Impacts developed from physically based models will not only provide information on the state of the damage at any given time, but also assist in understanding the links between different factors causing damage and determining bio-physical vulnerability. Socio-economic impacts will enlarge the basis for vulnerability mapping, risk management and adaptation options. A strong expert and end-user network will be established to help exploiting project results to meet user needs |
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FACCE MACSUR Mid-term Scientific Conference |
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3(S) Sassari, Italy |
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FACCE MACSUR Mid-term Scientific Conference, 2014-04-01 to 2014-04-04, Sassari, Italy |
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no |
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Call Number |
MA @ admin @ |
Serial |
5101 |
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Author |
Kipling, R.P.; Virkajärvi, P.; Breitsameter, L.; Curnel, Y.; De Swaef, T.; Gustavsson, A.-M.; Hennart, S.; Höglind, M.; Järvenranta, K.; Minet, J.; Nendel, C.; Persson, T.; Picon-Cochard, C.; Rolinski, S.; Sandars, D.L.; Scollan, N.D.; Sebek, L.; Seddaiu, G.; Topp, C.F.E.; Twardy, S.; Van Middelkoop, J.; Wu, L.; Bellocchi, G. |
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Title |
Key challenges and priorities for modelling European grasslands under climate change |
Type |
Journal Article |
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Year |
2016 |
Publication |
Science of the Total Environment |
Abbreviated Journal |
Science of the Total Environment |
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Volume |
566-567 |
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Pages |
851-864 |
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Keywords |
Climate change; Grasslands; Horizon scanning; Livestock production; Models; Research agenda |
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Abstract |
Grassland-based ruminant production systems are integral to sustainable food production in Europe, converting plant materials indigestible to humans into nutritious food, while providing a range of environmental and cultural benefits. Climate change poses significant challenges for such systems, their productivity and the wider benefits they supply. In this context, grassland models have an important role in predicting and understanding the impacts of climate change on grassland systems, and assessing the efficacy of potential adaptation and mitigation strategies. In order to identify the key challenges for European grassland modelling under climate change, modellers and researchers from across Europe were consulted via workshop and questionnaire. Participants identified fifteen challenges and considered the current state of modelling and priorities for future research in relation to each. A review of literature was undertaken to corroborate and enrich the information provided during the horizon scanning activities. Challenges were in four categories relating to: 1) the direct and indirect effects of climate change on the sward 2) climate change effects on grassland systems outputs 3) mediation of climate change impacts by site, system and management and 4) cross-cutting methodological issues. While research priorities differed between challenges, an underlying theme was the need for accessible, shared inventories of models, approaches and data, as a resource for stakeholders and to stimulate new research. Developing grassland models to effectively support efforts to tackle climate change impacts, while increasing productivity and enhancing ecosystem services, will require engagement with stakeholders and policy-makers, as well as modellers and experimental researchers across many disciplines. The challenges and priorities identified are intended to be a resource 1) for grassland modellers and experimental researchers, to stimulate the development of new research directions and collaborative opportunities, and 2) for policy-makers involved in shaping the research agenda for European grassland modelling under climate change. |
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English |
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ISSN |
0048-9697 |
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Notes |
LiveM, ft_macsur |
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no |
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Call Number |
MA @ admin @ |
Serial |
4761 |
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Author |
Virkajärvi, P.; Korhonen, P.; Bellocchi, G.; Curnel, Y.; Wu, L.; Jégo, G.; Persson, T.; Höglind, M.; Van Oijen, M.; Gustavsson, A.-M.; Kipling, R.P. |
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Title |
Modelling responses of forages to climate change with a focus on nutritive value |
Type |
Journal Article |
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Year |
2016 |
Publication |
Advances in Animal Biosciences |
Abbreviated Journal |
Advances in Animal Biosciences |
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Volume |
7 |
Issue |
03 |
Pages |
227-228 |
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Edition |
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ISSN |
2040-4700 |
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Notes |
LiveM, ft_macsur |
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no |
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Call Number |
MA @ admin @ |
Serial |
4876 |
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Permanent link to this record |