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| Author | Köchy, M. | ||||
| Title | Maps of grasslands in Europe | Type | Report | ||
| Year | 2013 | Publication | FACCE MACSUR Reports | Abbreviated Journal | |
| Volume | 1 | Issue | Pages | D-L1.3.1 | |
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| Abstract | Modelling of climate effects on agriculture and food security at the European scale requires a harmonized spatially, explicit database of European land use. It can be used for scaling results of point models to an area. A recent review of land cover maps focused on the global scale (Köchy, 2010). European land use as a subset of global land use is contained in the product GlobCover representing the year 2009 with a resolution of 0.3 km. A European product is the CORINE data set with a resolution of 100 m and a minimum mapping unit of 25 ha representing the year 2006 (version 16, European Environmental Agency, 2012). For scaling the results obtained for individual points to larger regions one needs fine-grained maps using the same categories as represented by the sample points. The CORINE map of pasture cover (Fig. 1) has the advantage of being very fine-grained and the classification being supervised. The visual differences to coarser maps of cover matched to census (Fig. 4), however, indicate, that none of the existing maps is reflecting reality perfectly. Since MACSUR will likely work with official national statistics it may be preferable to use one of the census-calibrated maps. For a better match, official EU spatial reporting schemes may be used at a grain that ensures data privacy of the land owners. No Label | ||||
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| Notes | Approved | no | |||
| Call Number | MA @ admin @ | Serial | 2257 | ||
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| Author | Lacetera, N. | ||||
| Title | National and transnational dairy cows biometeorological datasets linked to productive, reproductive and health performances data | Type | Report | ||
| Year | 2013 | Publication | FACCE MACSUR Reports | Abbreviated Journal | |
| Volume | 1 | Issue | Pages | D-L1.2.1 | |
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| Abstract | Different datasets have been completed and are now available for the analysis of interannual and seasonal variations of productive, reproductive or health data relative to intensively dairy cows and also to establish the relationships between temperature humidity index (THI) and dairy cow performances. Datasets are referred to different European countries (Italy, Belgium, Luxembourg and Slovenia) with different climatic features. All these datasets have data relative to Animal Pedigree (Cow ID, Birth date, Breed, Sire ID and Dam ID), Test-day records (Cow ID, Herd ID, Parity, Calving date, Test date, Milk yield, Milk fat and protein (%), Milk somatic cell score), Reproductive events (Cow ID, Herd ID, Parity, Calving date, AI date, Sire ID, Days Open, NRR-56 day), and Daily meteorological records (Meteo station ID, Zip code of the meteo station, Observation date, Max temperature, Min temperature, Mean temperature, Max relative humidity, Min relative humidity, Mean relative humidity, Solar radiation, Wind speed). The dataset relative to Italy includes also Mortality data (Animal ID, Herd ID, Death date) and Bulk milk quality data (Herd ID, Test date, Fat & protein (%), Somatic cell score, Bacterial count, Herd latitude, Herd longitude, Herd elevation). An additional database is still under construction and will be based on Spanish data from organic dairy farms. No Label | ||||
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| Notes | Approved | no | |||
| Call Number | MA @ admin @ | Serial | 2256 | ||
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| Author | Bartley, D. | ||||
| Title | Identification of datasets on climate change in relation to livestock productivity (production and fitness traits) and livestock infectious disease | Type | Report | ||
| Year | 2013 | Publication | FACCE MACSUR Reports | Abbreviated Journal | |
| Volume | 1 | Issue | Pages | D-L1.1 | |
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| Abstract | Datasets from Germany and the United Kingdom containing information on geographic (European Union 27 countries), climatic, meteorological, host and infectious agents’ parameters (figure 2) have been completed and are now available for preliminary analysis relating to data quality and consistency. Data set information will continue to be added over the next 12 months. No Label | ||||
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| Notes | Approved | no | |||
| Call Number | MA @ admin @ | Serial | 2255 | ||
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| Author | Nendel, C. | ||||
| Title | Data classification and criteria catalogue for data requirements | Type | Report | ||
| Year | 2013 | Publication | FACCE MACSUR Reports | Abbreviated Journal | |
| Volume | 1 | Issue | Pages | D-C1.2 | |
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| Abstract | Data requirements for calibration and validation of agro-ecosystem models were elaborated and a classification scheme for the suitability of experimental data for model testing and improvement has been developed. The scheme enables to evaluate datasets and to classify datasets upon their quality to be used in crop modelling. No Label | ||||
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| Notes | Approved | no | |||
| Call Number | MA @ admin @ | Serial | 2254 | ||
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| Author | Bindi, M. | ||||
| Title | Identification of most important cropping systems and available models | Type | Report | ||
| Year | 2013 | Publication | FACCE MACSUR Reports | Abbreviated Journal | |
| Volume | 1 | Issue | Pages | D-C1.1 | |
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| Abstract | For each region or agro-ecological zone in Europe the major cropping systems have been identified based on their cropping area. Next, for each of the selected cropping systems the most widely applied models that fulfil a number of criteria (including their documentation in peer reviewed publications; good user guides and documentation of code; source code available) have been identified. Some possible model comparisons have been hypothesized on the basis of cropping systems and model availability. No Label | ||||
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| Notes | Approved | no | |||
| Call Number | MA @ admin @ | Serial | 2253 | ||
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