Abstract: The aim of this presentation is to illustrate the activities performed by the LiveM-Task L1.2. group based at the University of Tuscia, Viterbo, Italy. Three different pluriannual databases were built to perform retrospective studies aimed at establishing the relationships between temperature humidity index (THI) and parameters of interest for dairy cow farms. The THI combines temperature and humidity in a single value and has been widely used to quantify heat stress in farm animals. The first database was built to assess the relationships between THI and mortality over a 6 yr period (2002-2007); the second one was a 7 yr database (2001-2007) which was built to establish the relationships between THI and milk yield; the last database included THI, milk somatic cell counts, total bacterial counts, fat and protein percentages data collected over a 7 yr period (2003-2009). The analysis of the three databases provided several equations which demonstrated and quantified an increase of mortality, reduction of milk yield and a worsening of milk quality in hot environment. Results of these analyzes authorized speculations about risks for dairy cows and their productivity in a warming planet. Furthermore, the same results are being utilized by economists also working within MACSUR at the University of Tuscia for an integrated study aimed at establishing the economic impact of climate change in the dairy sector. Combining this information with climate change regional scenarios might permit prediction of the impact of global warming and identification of adaptation measures that are appropriate for specific contexts. No Label

Abstract: The workshop was called to define an overarching question to be answered by all Regional  Pilot Studies and to select from the existing studies those that fit best to the aims of  MACSUR. The question that evolved from the discussions is “What would be the different  contributions of different European adaptation strategies to ensure global food security  until 2050 at different scales (farm to EU) while keeping the GHG targets?” Workshop  participants agreed to use the newest climate simulations related to Representative  Concentration Pathways that were also used by the AgMIP and ISI-MIP projects. There was  also agreement to use a subset of the AgMIP scenarios (S2-S6) for impact assessments, with  AgMIP scenario S1 as the reference scenario, for details see Table 3 below. The selection  of Regional Pilot Studies was discussed separately for European Grand Regions, but there  was no concluding decision taken. The Project Steering Committee will finally decide on  showcase studies at a meeting in the first week of July based on characterisations sent in  by interested members. Questionnaires for characterising the Regional Pilot Studies will be  sent by the Hub to the regional contact persons mentioned in Table 2 to fill in. The  characterization list can be extended. The questionnaires should be filled in by the end of  June. Stakeholder meetings are planned for October 2013 in each region where  preliminary/sample outputs of the regional pilot studies should be presented. Results will  be presented at the mid-term meeting in April 2014. The last year of MACSUR is then  available to improve the studies.The geographic extent of the Regional Pilot Studies is  approximately county level – representing the area of the studies they are based on. The  Regional Pilot Studies will be linked within the grand regions (northern, central, southern  Europe) by consistent regional and continental Representative Agricultural Pathways (RAP).  These regional RAPs will feed into the RAP process underway at AgMIP. Through the  common RAPs the Regional Pilot Studies will reflect the common challenges of the greater  region and by having several Regional Pilot Studies the diversity of the environment,  farming systems, and political systems is represented. The workshop was a first step into  further planning and performing the Regional Pilot Studies that will fine-tune the results of  the workshop. No Label

Abstract: Non available. No Label