Match!
Sara Minoli
Potsdam Institute for Climate Impact Research
Climate changeCroppingCropClimatologyAgronomy
6Publications
3H-index
27Citations
What is this?
Publications 11
Newest
#1Femke Lutz (PIK: Potsdam Institute for Climate Impact Research)H-Index: 1
#2Stephen J. Delgrosso (ARS: Agricultural Research Service)H-Index: 1
Last. Christoph Müller (PIK: Potsdam Institute for Climate Impact Research)H-Index: 61
view all 9 authors...
Abstract. No-tillage is often suggested as a strategy to reduce greenhouse gas emissions. Modeling tillage effects on nitrous oxide (N2O) emissions is challenging and subject to large uncertainties, as the processes producing the emissions are complex and strongly non-linear. Previous findings have shown deviations between the LPJmL5.0-tillage model and results from meta-analysis on global estimates of tillage effects on N2O emissions. Here we tested LPJmL5.0-tillage at four different experiment...
Source
#1Sara Minoli (Humboldt University of Berlin)H-Index: 3
#1Sara Minoli (Humboldt University of Berlin)
Last. Thomas A. M. Pugh (University of Birmingham)H-Index: 24
view all 14 authors...
1 CitationsSource
#1Bing Liu (NAU: Nanjing Agricultural University)H-Index: 8
#2Pierre Martre (University of Montpellier)H-Index: 36
Last. Senthold Asseng (UF: University of Florida)H-Index: 45
view all 57 authors...
Efforts to limit global warming to below 2°C in relation to the pre-industrial level are under way, in accordance with the 2015 Paris Agreement. However, most impact research on agriculture to date has focused on impacts of warming >2°C on mean crop yields, and many previous studies did not focus sufficiently on extreme events and yield interannual variability. Here, with the latest climate scenarios from the Half a degree Additional warming, Prognosis and Projected Impacts (HAPPI) project, we e...
4 CitationsSource
#1Sara Minoli (PIK: Potsdam Institute for Climate Impact Research)H-Index: 3
#2Dennis B. Egli (UK: University of Kentucky)H-Index: 39
Last. Christoph Müller (PIK: Potsdam Institute for Climate Impact Research)H-Index: 61
view all 4 authors...
Abstract Crop models require information on both weather and agronomic decisions to simulate crop productivity and to design adaptation strategies. Due to the lack of observational data, previous studies used different approaches to determine sowing dates and cultivar parameters. However, the timing of harvest has not yet been sufficiently analyzed. Here we propose an algorithm to determine location-specific maturity (or harvest) dates for applications in global modelling studies. Given a sowing...
2 CitationsSource
#1Sara MinoliH-Index: 3
#2Susanne RolinskiH-Index: 18
Last. Dennis B. EgliH-Index: 39
view all 4 authors...
Source
#1Senthold Asseng (UF: University of Florida)H-Index: 45
#2Pierre Martre (University of Montpellier)H-Index: 36
Last. Frank Ewert (University of Bonn)H-Index: 45
view all 67 authors...
Wheat grain protein concentration is an important determinant of wheat quality for human nutrition that is often overlooked in efforts to improve crop production. We tested and applied a 32‐multi‐model ensemble to simulate global wheat yield and quality in a changing climate. Potential benefits of elevated atmospheric CO2 concentration by 2050 on global wheat grain and protein yield are likely to be negated by impacts from rising temperature and changes in rainfall, but with considerable dispari...
13 CitationsSource
#1Daniel Wallach (INRA: Institut national de la recherche agronomique)H-Index: 29
#2Pierre Martre (SupAgro)H-Index: 36
Last. Zhao Zhang (BNU: Beijing Normal University)H-Index: 26
view all 48 authors...
A recent innovation in assessment of climate change impact on agricultural production has been to use crop multi model ensembles (MMEs). These studies usually find large variability between individual models but that the ensemble mean (e‐mean) and median (e‐median) often seem to predict quite well. However few studies have specifically been concerned with the predictive quality of those ensemble predictors. We ask what is the predictive quality of e‐mean and e‐median, and how does that depend on...
8 CitationsSource
#1Sara MinoliH-Index: 3
#2Joshua ElliottH-Index: 24
Last. Christoph MüllerH-Index: 61
view all 10 authors...
#1Sara MinoliH-Index: 3
#2Dennis B. EgliH-Index: 39
Last. Christoph MüllerH-Index: 61
view all 3 authors...
One of the major pathways of nitrogen (N) loss from agricultural systems is represented by ammonia (NH3) volatilisation. At the global scale, soil application of livestock manures and N-fertilisers represents one of the main sources of this atmospheric pollutant. A literature review was carried out over 78 field trials in order to collect and summarise the research on NH3 emission from land application of manure and N-fertiliser in Italy. Data availability proved to be still limited in terms of ...
11 Citations
12