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Author Rolinski, S.; Weindl, I.; Heinke, J.; Bodirsky, B.L.; Biewald, A.; Lotze-Campen, H. url  doi
openurl 
  Title (down) Pasture harvest, carbon sequestration and feeding potentials under different grazing intensities Type Journal Article
  Year 2015 Publication Advances in Animal Biosciences Abbreviated Journal Advances in Animal Biosciences  
  Volume 6 Issue 01 Pages 43-45  
  Keywords global dynamic vegetation model; LPJmL; grasslands; livestock production  
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  Language English Summary Language Original Title  
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  ISSN ISBN Medium Article  
  Area Expedition Conference  
  Notes CropM, LiveM, ft_macsur Approved no  
  Call Number MA @ admin @ Serial 4541  
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Author Iocola, I. openurl 
  Title (down) Past experience supports future choices for cropping systems management: the Italian long-term agro-ecosystem experiments (LTAEs) through the IC-FAR network Type Book Whole
  Year 2017 Publication Abbreviated Journal  
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  Corporate Author Thesis Ph.D. thesis  
  Publisher University of Sassari Place of Publication Sassari Editor  
  Language Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title PhD  
  Series Volume Series Issue Edition  
  ISSN ISBN Medium  
  Area Expedition Conference  
  Notes CropM Approved no  
  Call Number MA @ admin @ Serial 5166  
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Author Lauwers, L. url  openurl
  Title (down) Participatory modelling for strategy design on dairy farms Type
  Year 2015 Publication FACCE MACSUR Reports Abbreviated Journal  
  Volume 5 Issue Pages Sp5-34  
  Keywords  
  Abstract To comply with complexity in farming and social demands with respect to farming practices, to remain competitive in and resilient to an ever changing decision environment, today’s farm managers need to develop an extensive portfolio of activities, made coherent by an overall strategic vision. This paper focusses on dairy farming, which shows complexity by integrating crop and livestock processes and faces nowadays important challenges from its social and market environment. The aim is twofold: first, what does strategic thinking mean in dairy farming and what kind of strategic decisions are eligible for a sustainable development, second, what kind of methodological framework can be built to support the farmer’s strategic thinking and decision making. The novel strategy exploration implies not only the mere crop-livestock organization alternatives, but also creatively looks for resilience increasing activities that allow for flexible food nonfood substitutions, multiple valorization trajectories and alternative multi-agents arrangements. Concrete examples include agroforestry, alternative nutrient throughputs or composting. The methodological support focusses on four principles: (i) integrative, considering the whole-farm scale, (iii) normative, leading to improved decision making, (iii)participatory, compiling transdisciplinary knowledge and (iv) communicative, using typical farm benchmarking. Findings are brought together from  literature, own research experiences on dairy farm management and interaction with stakeholders, amongst other the technical sciences researchers in the MACSUR knowledge hub. No Label  
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  Area Expedition Conference MACSUR Science Conference 2015 »Integrated Climate Risk Assessment in Agriculture & Food«, 8–9+10 April 2015, Reading, UK  
  Notes Approved no  
  Call Number MA @ admin @ Serial 2149  
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Author Schaap, B.F.; Reidsma, P.; Verhagen, J.; Wolf, J.; van Ittersum, M.K. url  doi
openurl 
  Title (down) Participatory design of farm level adaptation to climate risks in an arable region in The Netherlands Type Journal Article
  Year 2013 Publication European Journal of Agronomy Abbreviated Journal European Journal of Agronomy  
  Volume 48 Issue Pages 30-42  
  Keywords adaptation; climate change; impact; crop production; wheat; onion; potato; sugar beet; crop production; change impacts; agriculture; variability; events; europe; model  
  Abstract In the arable farming region Flevoland in The Netherlands climate change, including extreme events and pests and diseases, will likely pose risks to a variety of crops including high value crops such as seed potato, ware potato and seed onion. A well designed adaptation strategy at the farm level can reduce risks for farmers in Flevoland. Currently, most of the impact assessments rely heavily on (modelling) techniques that cannot take into account extreme events and pests and diseases and cannot address all crops, and are thus not suited as input for a comprehensive adaptation strategy at the farm level. To identify major climate risks and impacts and develop an adaptation measure portfolio for the most relevant risks we complemented crop growth modelling with a semi-quantitative and participatory approach, the Agro Climatic Calendar (ACC), A cost-benefit analysis and stakeholder workshops were used to identify robust adaptation measures and design an adaptation strategy for contrasting scenarios in 2050. For Flevoland, potential yields of main crops were projected to increase, but five main climate risks were identified, and these are likely to offset the positive impacts. Optimized adaptation strategies differ per scenario (frequency of occurrence of climate risks) and per farm (difference in economic loss). When impacts are high (in the +2 degrees C and A1 SRES scenario) drip irrigation was identified as the best adaptation measure against the main climate risk heat wave that causes second-growth in seed and ware potato. When impacts are smaller (the +1 degrees C and B2 SRES scenario), other options including no adaptation are more cost-effective. Our study shows that with relatively simple techniques such as the ACC combined with a stakeholder process, adaptation strategies can be designed for whole farming systems. Important benefits of this approach compared to modelling techniques are that all crops can be included, all climate factors can be addressed, and a large range of adaptation measures can be explored. This enhances that the identified adaptation strategies are recognizable and relevant for stakeholders. (C) 2013 Elsevier B.V. All rights reserved.  
  Address 2016-10-31  
  Corporate Author Thesis  
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  Language English Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 1161-0301 ISBN Medium Article  
  Area Expedition Conference  
  Notes CropM Approved no  
  Call Number MA @ admin @ Serial 4809  
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Author Ruget, F.; Buis, S.; Irfan, K.; Delmotte, S.; Mouret, J.-C.; Ridaura, S.L.; Trolard, F. url  openurl
  Title (down) Parametrization of a crop model using a regional agronomical database: rice in Camargue with STICS Type Conference Article
  Year 2016 Publication Abbreviated Journal  
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  Publisher Place of Publication Berlin (Germany) Editor  
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  ISSN ISBN Medium poster  
  Area Expedition Conference International Crop Modelling Symposium iCROPM 2016, 2016-05-15 to 2016-05-17, Berlin, Germany  
  Notes Approved no  
  Call Number MA @ admin @ Serial 4908  
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