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Hempel et al. |
Title |
An integrated modelling approach to assess optimisation potentials for cattle housing climate |
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2016 |
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FACCE MACSUR Reports |
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8 |
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SP8-11 |
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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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4858 |
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Author |
Wehrheim, P. |
Title |
Agriculture and land use in the Commission proposals for the 2030 Climate and Energy Framework |
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Report |
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2016 |
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FACCE MACSUR Reports |
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9 C6 - |
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Sp9-12 |
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Introduction: policy context•Impact Assessment: options, models, examples•Proposal for Effort Sharing Regulation and LULUCF Regulation•Conclusions and Outlook: more work for modellers 1. Fully in line with Paris Agreement, no backsliding on robustness and transparency2.Provides for continuity•Addresses Member States and not individual farmers or foresters•Stand-alone LULUCF pillar•No-debit rule (from KP)•Flexibility within LULUCF and from ESR to LULUCF3.Proposes limited innovations•Flexibility to the ESR up to 280 mt CO2•Aligning accounting rules (AF,CM/GM)•Defining EU-internal process to set national forest management levels•Simplifying administrationConclusions (2) |
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MA @ admin @ |
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4859 |
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Author |
Sinabell, F. |
Title |
Adaptation to climate change in the European agriculture: A new tool for explicit cost accounting |
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Report |
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2016 |
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FACCE MACSUR Reports |
Abbreviated Journal |
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9 C6 - |
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Sp9-10 |
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farm structure in Austria and level of educationchallenges of more volatile markets / more uncertain yieldsmore uncertainty about revenues and costsspecialisation and liquidity problems – not alleviated by EU direct paymentspolitical measures: late, uncertain, no legal title, wrong incentivestax credits – not relevant in Austria for most farmsprice hedging instruments steep learning curve and intransparent marketsmost frequently used: service of buying co-operatives control of accumulation risksdetails of contract are attractive for farmerse.g. monthly benefits for milk producersbenefits at the time of sale for pig, piglet, grain producerscombination with production risk insurance with discountsgovernment support during introduction period / as a new policy instrumentmarketing and sales: wholesale buyers / dairies / producer organisations offer margin insurance as a service |
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MA @ admin @ |
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4860 |
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Sandars et al. |
Title |
A comparison of greenhouse gas (GHG) emissions from dairy farms by four systems models with eight agro-climatic scenarios |
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Report |
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2016 |
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FACCE MACSUR Reports |
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8 |
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SP8-15 |
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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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4861 |
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Author |
Brilli, L.; Ferrise, R.; Dibari, C.; Bindi, M.; Bellocchi, G. |
Title |
Needs on model improvement |
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Report |
Year |
2017 |
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FACCE MACSUR Reports |
Abbreviated Journal |
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10 |
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XC1.1-D |
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The need to answer new scientific questions can be satisfied by an increased knowledge of physiological mechanisms which, in turn, can be used for improving the accuracy of simulations of process-based models. In this context, this report highlights areas that need to be further improved to facilitate the operational use of simulation models. It describes missing approaches within simulation models which, if implemented, would likely improve the representation of the dynamics of processes underlying different compartments of crop and grassland systems (e.g. plant growth and development, yield production, GHG emissions), as well as of the livestock production systems. The following rationale has been used in the organization of this report. We first briefly introduced the need to improve the reliability of existing models. Then, we indicated climate change and its influence on the global carbon balance as the main issue to be addressed by existing crop and grassland (section 2), and livestock (section 3) models. In section 2, among the major aspects that if implemented may reduce the uncertainty inherent to model outputs, we suggested: i) quantifying the effects of climate extremes on biological systems; ii) modelling of multi-species sward; iii) coupling of pest and disease sub-models; iv) improvement of the carry-over effect. In section 3, as the most important aspects to consider in livestock models we indicated: i) impacts and dynamics of pathogens and disease; ii) heat stress effects on livestock; iii) effects on grassland productivity and nutritional values; iv) improvement of GHG emissions dynamics. In Section 4, remarks are made concerning the need to implement the suggested aspects into the existing models. |
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MA @ admin @ |
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4938 |
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