| Records |
Author  |
Schils, R. |
| Title |
Online maps of Yield Gaps of cereals across Europe |
Type |
Report |
| Year |
2017 |
Publication |
FACCE MACSUR Reports |
Abbreviated Journal |
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10 |
Issue |
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Pages |
Xc9.1-D2 |
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The yield gap and water productivity analysis of key cereal crops in Europe is completed and results are available through www.yieldgap.org |
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XC, CropM |
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no |
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MA @ admin @ |
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4961 |
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Savary, S.; Nelson, A.D.; Djurle, A.; Esker, P.; Sparks, A.; Amorim, L.; Bergamin Filho, A.; Caffi, T.; Castilla, N.; Garrett, K.; McRoberts, N.; Rossi, V.; Yuen, J.; Willocquet, L. |
| Title |
Concepts, approaches, and avenues for modelling crop health and crop losses |
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Report |
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2017 |
Publication |
FACCE MACSUR Reports |
Abbreviated Journal |
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10 |
Issue |
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Pages |
C1.5-D |
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Main text in preparation for publication in a peer-reviewed journal) |
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CropM |
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no |
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MA @ admin @ |
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4952 |
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Sanz-Cobena, A. |
| Title |
Ammonia and nitrous oxide emissions from grazing cattle in Kenya |
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2015 |
Publication |
FACCE MACSUR Reports |
Abbreviated Journal |
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5 |
Issue |
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Pages |
Sp5-56 |
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MACSUR Science Conference 2015 »Integrated Climate Risk Assessment in Agriculture & Food«, 8–9+10 April 2015, Reading, UK |
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no |
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MA @ admin @ |
Serial |
2171 |
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| Author |
Sanna, M.; Acutis, M.; Bellocchi, G. |
| Title |
Interrelationship between evaluation metrics to assess agro-ecological models |
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Report |
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2014 |
Publication |
FACCE MACSUR Reports |
Abbreviated Journal |
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3 |
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Pages |
Sp3-5 |
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When evaluating the performances of simulation models, the perception of the quality of the outputs may depend on the statistics used to compare simulated and observed data. In order to have a comprehensive understanding of model performance, the use of a variety of metrics is generally advocated. However, since they may be correlated, the use of two or more metrics may convey the same information, leading to redundancy. This study intends to investigate the interrelationship between evaluation metrics, with the aim of identifying the most useful set of indicators, for assessing simulation performance. Our focus is on agro-ecological modelling. Twenty-three performance indicators were selected to compare simulated and observed data of four agronomic and meteorological variables: above-ground biomass, leaf area index, hourly air relative humidity and daily solar radiation. Indicators were calculated on large data sets, collected to effectively apply correlation analysis techniques. For each variable, the interrelationship between each pair of indicators was evaluated, by computing the Spearman’s rank correlation coefficient. A definition of “stable correlation” was proposed, based on the test of heterogeneity, allowing to assess whether two or more correlation coefficients are equal. An optimal subset of indicators was identified, striking a balance between number of indicators, amount of provided information and information redundancy. They are: Index of Agreement, Squared Bias, Root Mean Squared Relative Error, Pattern Index, Persistence Model Efficiency and Spearman’s Correlation Coefficient. The present study was carried out in the context of CropM-LiveM cross-cutting activities of MACSUR knowledge hub. No Label |
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no |
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MA @ admin @ |
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2222 |
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| Author |
Sándor, R. |
| Title |
Sensitivity and uncertainty analysis of grassland models in Europe and Israel |
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2015 |
Publication |
FACCE MACSUR Reports |
Abbreviated Journal |
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5 |
Issue |
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Pages |
Sp5-55 |
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Grassland models are valuable tools to test hypotheses on grassland ecosystem functioning. In the frame of FACCE MACSUR LiveM, a model intercomparison was conducted using a dataset from an observational and experimental network of nine multi-year grassland sites spread across Europe (France, Italy, Germany, Switzerland, The Netherlands, and United Kingdom) and Israel, and a suite of nine models to understand grassland functioning in the region. Grassland-specific approaches were compared to approaches mainly conceived to simulate crops and plant functional types. Model evaluation against actual measurements was performed before and after model calibration. The calibrated models were used to analyze their sensitivity to independent variations of temperature, precipitation and [CO2]. The results show to which extent calibration can accommodate model discrepancies. The sensitivity of simulated gross primary production to [CO2] and temperature is an important outcome, considering the fundamental effect of rising temperature and [CO2] on the C cycling of terrestrial ecosystems in the Euro-Mediterranean region. Overall, alternative models exhibit a different sensitivity to climate change factors, with different performances over different conditions. Explained by the basic processes of each model and also induced by different calibration methods, this difference is indicative that more models can be complementary and deliver greater insights than if they were applied individually. No Label |
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MACSUR Science Conference 2015 »Integrated Climate Risk Assessment in Agriculture & Food«, 8–9+10 April 2015, Reading, UK |
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Approved |
no |
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MA @ admin @ |
Serial |
2170 |
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