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Author |
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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Report |
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Year  |
2016 |
Publication |
FACCE MACSUR Reports |
Abbreviated Journal |
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8 |
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Pages |
H0.3-D1 |
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Keywords |
policy brief, networking |
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Abstract |
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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MA @ admin @ |
Serial |
2269 |
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Author |
Zimmermann, A.; Britz, W. |
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Title |
European farms’ participation in agri-environmental measures |
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Journal Article |
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Year |
2016 |
Publication |
Land Use Policy |
Abbreviated Journal |
Land Use Policy |
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Volume |
50 |
Issue |
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Pages |
214-228 |
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Keywords |
agri-environmental; CAP; farm; EU; estimation; protection scheme; conservation; programs; willingness; policy; perspective; adoption; ireland |
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Due to their diversity and voluntariness, agri-environmental measures (AEMs) are among the Common Agricultural Policy instruments that are most difficult to assess. We provide an EU-wide analysis of AEM adoption and farm’s total AEM support over total Utilised Agricultural Area using a Heckman sample selection approach and single farm data. Our analysis covers 22 Member States over the 2000-2009 period, assesses the entire portfolio of AEMs and focuses on the relationship between AEM participation and farming system. Results show that participation in AEMs is more likely in less intensive production systems, where, however, per committed hectare AEM premiums tend to be lower. Member States group into three categories: high/low intensity farming systems with low/high AEM enrollment rates, respectively, and large high diversity countries with medium AEM enrollment rates. (C) 2015 Elsevier Ltd. All rights reserved. |
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0264-8377 |
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TradeM, ft_macsur |
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MA @ admin @ |
Serial |
4711 |
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Author |
Bojar, W.; Knopik, L.; Żarski, J.; Kuśmierek-Tomaszewska, R. |
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Title |
Integrated assessment of crop productivity based on the food supply forecasting |
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Journal Article |
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2016 |
Publication |
Agricultural Economics – Czech |
Abbreviated Journal |
Agricultural Economics – Czech |
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61 |
Issue |
11 |
Pages |
502-510 |
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Keywords |
climate changes; decision-making tools; estimation of parameters; forecasted outputs; gamma distribution; predicting yields; climate-change; emissions scenarios; impacts; potato; yield; growth; policy; scale; water |
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Climate change scenarios suggest that long periods without rainfall will occur in the future often causing instability of the agricultural products market. The aim of our research was to build a model describing the amount of precipitation and droughts for forecasting crop yields in the future. In this study, we analysed a non-standard mixture of gamma and one point distributions as the model of rainfall. On the basis of the rainfall data, one can estimate parameters of the distribution. Parameter estimators were constructed using a method of maximum likelihood. The obtained rainfall data allow confirming the hypothesis of the adequacy of the proposed rainfall models. Long series of droughts allow one to determine the probabilities of adverse phenomena in agriculture. Based on the model, yields of barley in the years 2030 and 2050 were forecasted which can be used for the assessment of other crops productivity. The results obtained with this approach can be used to predict decreases in agricultural production caused by prospective rainfall shortages. This will enable decision makers to shape effective agricultural policies in order to learn how to balance the food supplies and demands through an appropriate management of stored raw food materials and import/export policies. |
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0139-570x |
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CropM, TradeM, ft_macsur |
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MA @ admin @ |
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4644 |
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Author |
Lehtonen, H. |
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Title |
Evaluating adaptation and the production development of Finnish agriculture in climate and global change |
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Journal Article |
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Year |
2015 |
Publication |
Agricultural and Food Science |
Abbreviated Journal |
Agricultural and Food Science |
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24 |
Issue |
3 |
Pages |
219-234 |
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Keywords |
agricultural sector modelling; economic adjustment; global prices; climate change; finnish agriculture; crop production; land-use; challenge; ensembles; Finland; Europe; policy |
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Agricultural product prices and policies influence the development of crop yields under climate change through farm level management decisions. On this basis, five main scenarios were specified for agricultural commodity prices and crop yields. An economic agricultural sector model was used in order to assess the impacts of the scenarios on production, land use and farm income in Finland. The results suggest that falling crop yields, if realized due to low prices and restrictive policies, will result in decreasing crop and livestock production and increasing nutrient surplus. Slowly increasing crop yields could stabilise production and increase farm income. Significantly higher crop prices and yields are required, however, for any marked increase in production in Finland. Cereals production would increase relatively more than livestock production, if there were high prices for agricultural products. This is explained by abundant land resources, a high opportunity cost of labour and policies maintaining current dairy and beef production. |
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2016-07-22 |
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ISSN |
1459-6067 |
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TradeM, ft_macsur |
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Call Number |
MA @ admin @ |
Serial |
4750 |
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Author |
Cortignani, R.; Dono, G. |
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Title |
Simulation of the impact of greening measures in an agricultural area of the southern Italy |
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Journal Article |
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Year |
2015 |
Publication |
Land Use Policy |
Abbreviated Journal |
Land Use Policy |
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Volume |
48 |
Issue |
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Pages |
525-533 |
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Keywords |
agricultural policy; supply analysis; mathematical programming; maximum-entropy; level; models |
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Together, sustainable management of natural resources and climate action form one of the three objectives of the 2014-2020 Common Agricultural Policy. This objective is being addressed by replacing the existing direct payments under Pillar 1 with a basic payment, combined with an additional payment conditional on farmers undertaking agricultural practices beneficial for the climate and the environment, a policy referred to as greening. In this study, the impact of greening was assessed using a hybrid model calibrated using positive mathematical programming. The model describes the macro-types of farm production in a Mediterranean agricultural area. The results show that greening was not beneficial throughout the study area and only some farm types have been particularly affected. However, greening appears to have a positive impact on curtailing the use of chemicals, particularly nitrogen, and on crop diversity. (C) 2015 Elsevier Ltd. All rights reserved. |
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0264-8377 |
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TradeM, ft_macsur |
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MA @ admin @ |
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4746 |
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