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Kipling, R. |
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Title |
LiveM and the knowledge hub concept: Grassland and livestock modelling in MACSUR Phase 2 |
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2015 |
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FACCE MACSUR Reports |
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4 |
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SP4-8 |
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TradeM International Workshop 2014 »Economics of integrated assessment approaches for agriculture and the food sector«, 25–27 November 2014, Hurdalsjø, Norway |
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MA @ admin @ |
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2198 |
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Author |
Kipling, R. |
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Communicating Modelling |
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2015 |
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FACCE MACSUR Reports |
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4 |
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SP4-7 |
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No abstract. No Label |
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TradeM International Workshop 2014 »Economics of integrated assessment approaches for agriculture and the food sector«, 25–27 November 2014, Hurdalsjø, Norway |
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MA @ admin @ |
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2197 |
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Kipling, R.; Özkan, Ş. |
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Title |
Stakeholder engagement and the perceptions of researchers: How agricultural modellers view challenges to communication |
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2016 |
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FACCE MACSUR Reports |
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8 |
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SP8-20 |
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Abstract |
Conference presentation PDF |
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LiveM2016: International livestock modelling conference – Modelling grassland-livestock systems under climate change |
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MA @ admin @ |
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4835 |
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Kipling, R.; Scollan, N.; Bannink, A.; van Middelkoop, J. |
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Title |
From diversity to strategy: Livestock research for effective policy in a climate change world |
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2016 |
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FACCE MACSUR Reports |
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8 |
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H0.3-D1 |
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policy brief, networking |
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European livestock agriculture is extraordinarily diverse, and so are the challenges it faces. This diversity has contributed to the development of a fragmented set of research communities. As a result, livestock research is often under-represented at policy level, despite its high relevance for the environment and food security. Understanding livestock systems and how they can sustainably adapt to global change requires inputs across research areas, including grasslands, nutrition, health, welfare and ecology. It also requires experimental researchers, modellers and stakeholders to work closely together. Networks and capacity building structures are vital to enable livestock research to meet the challenges of climate change. They need to maintain shared resources and provide non-competitive arenas to share and synthesize results for policy support. ï‚· Long term strategic investment is needed to support such structures. Their leadership requires very different skills to those effective in scientific project coordination. |
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no |
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MA @ admin @ |
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2269 |
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Kipling, R.; Topp, K.; Don, A. |
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Title |
Appropriate meta-data for modellers |
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2014 |
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FACCE MACSUR Reports |
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3 |
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D-L1.4.1 |
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Report D-L1.4.1 provided an overview of the data and related resources available online and through EU funded projects, relating to soil organic carbon (SOC), and carbon sequestration in grasslands in particular. Building on D-L1.4.1, the report presented here discusses how meta-data describing these types of data (and experimental data more generally) can best be presented in an online resource useful to grassland modellers requiring data to use in their modelling work. Identifying the useful categories of meta-data is a necessary precursor to providing such a resource, which could facilitate better communication between modelling and experimental research groups, allowing researchers to more efficiently locate relevant data and to link up with other scientists working on similar topics. A survey among grassland modelling teams and an assessment of online meta-data resources was used to produce recommendations about the meta-data categories that should be included in an online resource. The categories are generic, so that the recommendations can be followed in the design of meta-data resources for the more general agricultural modelling community. No Label |
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MA @ admin @ |
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2235 |
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