Pulina, A., Lai, R., Salis, L., Seddaiu, G., Roggero, P. P., & Bellocchi, G. (2018). Modelling pasture production and soil temperature, water and carbon fluxes in Mediterranean grassland systems with the Pasture Simulation Model. Grass Forage Sci., 73(2), 272–283.
Abstract: Grasslands play important roles in agricultural production and provide a range of ecosystem services. Modelling can be a valuable adjunct to experimental research in order to improve the knowledge and assess the impact of management practices in grassland systems. In this study, the PaSim model was assessed for its ability to simulate plant biomass production, soil temperature, water content, and total and heterotrophic soil respiration in Mediterranean grasslands. The study site was the extensively managed sheep grazing system at the Berchidda‐Monti Observatory (Sardinia, Italy), from which two data sets were derived for model calibration and validation respectively. A new model parameterization was derived for Mediterranean conditions from a set of eco‐physiological parameters. With the exception of heterotrophic respiration (Rh), for which modelling efficiency (EF) values were negative, the model outputs were in agreement with observations (e.g., EF ranging from ~0.2 for total soil respiration to ~0.7 for soil temperature). These results support the effectiveness of PaSim to simulate C cycle components in Mediterranean grasslands. The study also highlights the need of further model development to provide better representation of the seasonal dynamics of Mediterranean annual species‐rich grasslands and associated peculiar Rh features, for which the modelling is only implicitly being undertaken by the current PaSim release.
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Pulina, A., Bellocchi, G., Seddaiu, G., & Roggero, P. P. (2016). Scenario analysis of alternative management options on the forage production and greenhouse gas emissions in Mediterranean grasslands. (Vol. 116, pp. 263–266).
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Prange, S., Vohland, K., Conradt, T., & Hattermann, F. F. (2013). Klimabedingte Veränderungen der Abflussdynamik von ausgewählten deutschen Fließgewässern und ihre naturschutzfachliche Bedeutung. In: Schutzgebiete Deutschlands im Klimawandel – Risiken und Handlungsoptionen. In F. Badeck, K. Böhning-Gaese, G. Ellwanger, J. Hanspach, P. L. Ibisch, S. Klotz, et al. (Eds.), (pp. 55–69). Naturschutz und Biologische Vielfalt, 129. Bonn-Bad Godesberg: Bundesamt für Naturschutz.
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Powell, J. (2015). Productivity Implications of Extreme Precipitation Events: the case of Dutch Wheat Farmers (Vol. 5).
Abstract: The paper applies a stochastic production frontier model to measure factor productivity and assess the impact of large variations in precipitation on production and the technical efficiency of farms that grow wheat in the Netherlands. A crop level analysis is conducted using an unbalanced panel of 322 farms in 129 regions that grew wheat for at least two years in the period 2002-2013. In general, higher rates of precipitation were found to reduce wheat production. However, those effects were found to be dependent on the type of soil and the month in which the precipitation was realized. Heavy precipitation in December and August were found to decrease efficiency, while increasing efficiency in April. Results show the importance of controlling for local conditions and interaction effects between variables when assessing the implications of extreme weather events. No Label
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Potopová, V. (2015). Observed and simulated growth, development and yield of field-grown tomato in the Elbe lowland, the Czech Republic (Vol. 5).
Abstract: This study deals with observed and simulated growth, development and yield of the fresh-market Thomas F1 tomato bush cultivar (Solanum lycopersicum L.) grown under open field conditions at farm scale in the Elbe lowland. The CROPGRO-Tomato model used in this study is part of the DSSAT V4.5 software. The model has been calibrated with growth analyses data from field experiments, agronomic evidence (GC UPRAVY software) and the most currently available data from the literature sources of cardinal temperatures for tomato phenology, fruit growth and photosynthesis (Tb – base temperature; Topt1 – the lowest temperature at which maximum rate is attained; Topt2 – the upper temperature at which maximum rate is sustained; Tmax – maximum temperature). The sampling plants were collected a once 14 days for analysis of basic physiological parameters: LAI (Leaf area index), LAR (Leaf Area Ratio), C (Crop Growth Rate), RGRw (Relative Growth Rate) and NAR (Net Assimilation Rate). Phenology observation was done weakly. Meteorological, soil and agro-technical parameters across the fields were monitored. The treatments were well-irrigated and well-fertilised, and therefore, no water or N stress was present.Parameters affecting leaf growth, dry biomass productions, and dry biomass of leaves, stem and generative organs from planting to harvest were calibrated against the observed data. Phenological development and growth processes such as leaf expansion and fruit growth depend on cardinal temperatures. Leaf area expansion depends on the new leaf mas produced and specific leaf area, which is influenced by light, temperature, root N uptake, and plant water status. Starting date for the simulation corresponds with transplanting date of the crop in the field, which was set at day 141. The simulation period ended at day 273, a reasonable estimate for the date when plants are stopped in practice. Initial input dry biomass at Mochov farm (Suchdol) was set to 2.25 (2.88), 1.71 (2.5) and 0.01 (0.78) grams for leaves, stem and generative organs, respectively. No Label
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