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Banse, M.; Brouwer, F.; Palatnik, R.R.; Sinabell, F. |
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Title |
The Economics of European Agriculture under Conditions of Climate Change (Editorial) |
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Journal Article |
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Year |
2014 |
Publication |
German Journal of Agricultural Economics |
Abbreviated Journal |
German Journal of Agricultural Economics |
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63 |
Issue |
3 |
Pages |
131-132 |
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This Special Issue on “The Economics of European Agriculture under Conditions of Climate Change” brings together a selection of papers that contribute to the understanding of recent developments related to agriculture and climate change in four European coun- tries. The focus of the Special Issue is on quantitative modeling and empirical analyses. The papers presented here not only cover the heterogeneity of agriculture in Europe with case studies from the Mediterranean (Italy), central (Austria) and north-western Europe (Ireland and Scotland) but also give insights into the diversity of quantitative modeling approaches in agriculture. |
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Editorial material |
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TradeM, ft_macsur |
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no |
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Call Number |
MA @ admin @ |
Serial |
4763 |
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Sandhu, H.; Wratten, S.D.; Porter, J.R.; Costanza, R.; Pretty, J.; Reganold, J.P. |
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Title |
Mainstreaming ecosystem services into future farming solutions |
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Journal Article |
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Year |
2016 |
Publication |
The Solutions Journal |
Abbreviated Journal |
The Solutions Journal |
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Volume |
7 |
Issue |
2 |
Pages |
40-47 |
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Agriculture has made remarkable advances in fulfilling the food and nutritional requirement of expanding human numbers worldwide. There are several sustainable farming systems that contribute to overall biodiversity conservation and associated ecosystem services. Yet agricultural practices that have come to predominate since the second half of the 20th century have led to the overuse of fossil fuel-based inputs, unsustainable exploitation of natural resources, and loss of biodiversity. These outcomes also have high costs to human health and the environment. Continuing with largely energy-intense, wasteful, polluting, and unsustainable agriculture is no longer a viable option for future world food security and human well-being. There is an urgent need for forms of agricultural production that improve natural capital and ecosystem services (ES) in food systems worldwide. Mainstreaming ES into future agriculture requires protocols to replace some of the nonrenewable resources (e.g. fossil fuel-based pesticides and fertilizers) with renewable resources (ES such as biological control of insect pests or nitrogen fixation by legumes). The protocols presented here have been tested in different agricultural systems that enable farmland to simultaneously provide food and a range of ecosystem services. Recent research demonstrates that managed systems with these protocols exhibit higher economic value of ecosystem services. Thus, there is need to support the deployment of these protocols through various policy mechanisms for the long-term sustainability of agriculture. |
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CropM |
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MA @ admin @ |
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4759 |
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König, H.J.; Helming, K.; Seddaiu, G.; Kipling, R.; Köchy, M.; Graversgaard, M.; van den Pol-van Dasselaar, A.; Nguyen, T.P.L.; Quaranta, G.; Salvia, R.; Sieber, S.; Ithes, S.; Kjeldsen, C.; Turner, K.G.; Dalgaard, T.; Roggero, P.P. |
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Stakeholder participation in agricultural research: Who should be involved, why, and how? |
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Research in sustainable agricultural management requires appropriate participatory processes and tools enabling efficient dialogue and cooperation to allow researchers and stakeholders to co-produce knowledge. Research approaches that encourage stakeholder participation are in high demand because they allow a better understanding of human-nature interactions and interdependencies between actors. Participatory approaches also support multiple goals of agricultural management: improved productivity, food security, climate change adaptation, environmental conservation, rural development and policy decision making. Approaches to stakeholder engagement in the field of agricultural management research are manifold. Therefore, selecting the “right” approach depends on the specific purpose and contextualized issues at stake. We analyzed ten stakeholder approaches and propose a new framework with which to identify and select appropriate approaches for stakeholder engagement. The framework consists of three components: whom to engage (i.e., stakeholder type and mandate), why to engage (i.e., research purpose: consult, inform, collaborate), and how to engage (i.e., different methodological approaches). We identified different stakeholder groups (who?): farmers, agricultural actors, land users, and policymakers; different purposes (why?): facilitate engagement process, inform stakeholders, and obtain stakeholder perceptions; and different types of engagement methods (how?): participatory field experiments, desk simulations, interviews, panel discussions and different types of workshops. The framework was applied to arrange these approaches, organize them to improve understanding of their main strengths, weaknesses and supports for identifying and selecting an appropriate approach. We conclude that understanding the different facets of available approaches is crucial for selecting an appropriate stakeholder engagement approach. ; |
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MA @ admin @ |
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2564 |
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Özkan, Ş.; Vitali, A.; Lacetera, N.; Amon, B.; Bannink, A.; Bartley, D.J.; Blanco-Penedo, I.; de Haas, Y.; Dufrasne, I.; Elliott, J.; Eory, V.; Fox, N.J.; Garnsworthy, P.C.; Gengler, N.; Hammami, H.; Kyriazakis, I.; Leclère, D.; Lessire, F.; Macleod, M.; Robinson, T.P.; Ruete, A.; Sandars, D.L.; Shrestha, S.; Stott, A.W.; Twardy, S.; Vanrobays, M.L.; Ahmadi, B.V.; Weindl, I.; Wheelhouse, N.; Williams, A.G.; Williams, H.W.; Wilson, A.J.; Østergaard, S.; Kipling, R.P. |
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Title |
Challenges and priorities for modelling livestock health and pathogens in the context of climate change |
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Journal Article |
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Year |
2016 |
Publication |
Environmental Research |
Abbreviated Journal |
Environ. Res. |
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151 |
Issue |
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130-144 |
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Climate change has the potential to impair livestock health, with consequences for animal welfare, productivity, greenhouse gas emissions, and human livelihoods and health. Modelling has an important role in assessing the impacts of climate change on livestock systems and the efficacy of potential adaptation strategies, to support decision making for more efficient, resilient and sustainable production. However, a coherent set of challenges and research priorities for modelling livestock health and pathogens under climate change has not previously been available. To identify such challenges and priorities, researchers from across Europe were engaged in a horizon-scanning study, involving workshop and questionnaire based exercises and focussed literature reviews. Eighteen key challenges were identified and grouped into six categories based on subject-specific and capacity building requirements. Across a number of challenges, the need for inventories relating model types to different applications (e.g. the pathogen species, region, scale of focus and purpose to which they can be applied) was identified, in order to identify gaps in capability in relation to the impacts of climate change on animal health. The need for collaboration and learning across disciplines was highlighted in several challenges, e.g. to better understand and model complex ecological interactions between pathogens, vectors, wildlife hosts and livestock in the context of climate change. Collaboration between socio-economic and biophysical disciplines was seen as important for better engagement with stakeholders and for improved modelling of the costs and benefits of poor livestock health. The need for more comprehensive validation of empirical relationships, for harmonising terminology and measurements, and for building capacity for under-researched nations, systems and health problems indicated the importance of joined up approaches across nations. The challenges and priorities identified can help focus the development of modelling capacity and future research structures in this vital field. Well-funded networks capable of managing the long-term development of shared resources are required in order to create a cohesive modelling community equipped to tackle the complex challenges of climate change. |
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0013-9351 |
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LiveM |
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MA @ admin @ |
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4766 |
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Mirschel, W.; Barkusky, D.; Hufnagel, J.; Kersebaum, K.C.; Nendel, C.; Laacke, L.; Luzi, K.; Rosner, G. |
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Title |
Coherent multi-variable field data set of an intensive cropping system for agro-ecosystem modelling from Müncheberg, Germany |
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Journal Article |
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Year |
2016 |
Publication |
Open Data Journal for Agricultural Research |
Abbreviated Journal |
Open Data J. Agric. Res. |
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2 |
Issue |
1 |
Pages |
1-10 |
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A six-year (1993-1998) multivariable data set for a four-plot intensive crop rotation (sugar beet – winter wheat – winter barley – winter rye – catch crop) located at Leibniz Centre for Agricultural Landscape Research (ZALF) Experimental Station, Müncheberg, Germany, is documented in detail. The experiment targets crop response to water supply on sandy soils (Eutric Cambisol), applying rain-fed and irrigated treatments. Weather as well as soil and crop processes were intensively monitored and management actions were consistently recorded. The data set contains coherent data for soil (water, nitrogen contents), crop (ontogenesis, plant, tiller and ear numbers, above-ground and root biomasses, yield, carbon and nitrogen content in biomass and their fractions, sugar content in beet), weather (all standard meteorological variables) and management (soil tillage, sowing, fertilisation, irrigation, harvest). In addition, observation methods are briefly described. The data set is available via the Open Research Data Portal at ZALF Müncheberg and is published under doi:10.4228/ZALF.1992.271. The data set was used for model intercomparison within the crop modelling part (CropM) of the international FACCE MACSUR project. |
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2352-6378 |
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CropM, ft_macsur |
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MA @ admin @ |
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4762 |
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