Impact of climate change on irrigation management for olive orchards at southern Spain

The irrigation management for olive orchards under future weather conditions requires the development of advanced tools for considering specific physiological and phenological components affected by the foreseen changes in climate and atmospheric [CO2]

Adaptation Strategies to Climate Change for summer crops on Andalusia: evaluation for extreme maximum temperatures

Evaluate a set of agricultural adaptation strategies to cope with climate change impacts, with focus on the consequences of extreme events on the adaptations proposed in the semi-arid environment of Andalusia (Southern Spain)

Impact of climate change on the Andalusian agriculture: Corn

Los efectos del cambio clim&aacute;tico sobre el cultivo del ma&iacute;z han sido ampliamente estudiados a nivel europeo y mundial debido a su importancia econ&oacute;mica y social. En Andaluc&iacute;a, aunque su cultivo es relativamente bajo en comparaci&oacute;n con otros cultivos, es interesante su estudio al ser un cereal con altos requerimientos de riego y productividad baja, generando serias dudas sobre su sostenibilidad en el medio y largo plazo. As&iacute;, el ma&iacute;z se ha mostrado muy sensible tanto al estr&eacute;s h&iacute;drico como t&eacute;rmico, factores que hacen a este cultivo especialmente vulnerable al impacto del cambio clim&aacute;tico.</p

Impact of climate change on irrigation management for olive orchards at southern Spain

The irrigation management for olive orchards under future weather conditions requires the development of advanced tools for considering specific physiological and phenological components affected by the foreseen changes in climate and atmospheric [CO2]

Modelling the impact of heat stress on maize yield formation

The frequency and intensity of extreme high temperature events are expected to increase with climate change. Higher temperatures near anthesis have a large negative effect on maize (Zea mays, L.) grain yield. While crop growth models are commonly used to assess climate change impacts on maize and other crops, it is only recently that they have accounted for such heat stress effects, despite limited field data availability for model evaluation. There is also increasing awareness but limited testing of the importance of canopy temperature as compared to air temperature for heat stress impact simulations. In this study, four independent irrigated field trials with controlled heating imposed using polyethylene shelters were used to develop and evaluate a heat stress response function in the crop modeling framework SIMPLACE, in which the Lintul5 crop model was combined with a canopy temperature model. A dataset from Argentina with the temperate hybrid Nidera AX 842 MG (RM 119) was used to develop a yield reduction function based on accumulated hourly stress thermal time above a critical temperature of 34 °C. A second dataset from Spain with a FAO 700 cultivar was used to evaluate the model with daily weather inputs in two sets of simulations. The first was used to calibrate SIMPLACE for conditions with no heat stress, and the second was used to evaluate SIMPLACE under conditions of heat stress using the reduction factor obtained with the Argentine dataset. Both sets of simulations were conducted twice; with the heat stress function alternatively driven with air and simulated canopy temperature. Grain yield simulated under heat stress conditions improved when canopy temperature was used instead of air temperature (RMSE equal to 175 and 309 g m−2, respectively). For the irrigated and high radiative conditions, raising the critical threshold temperature for heat stress to 39 °C improved yield simulation using air temperature (RMSE: 221 g m−2) without the need to simulate canopy temperature (RMSE: 175 g m−2). However, this approach of adjusting thresholds is only likely to work in environments where climatic variables and the level of soil water deficit are constant, such as irrigated conditions and are not appropriate for rainfed production conditions.Fil: Gabaldón Leal, C.. Centro Alameda del Obispo; EspañaFil: Webber, H.. Universitat Bonn; AlemaniaFil: Otegui, Maria Elena. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad de Buenos Aires. Facultad de Agronomía. Departamento de Producción Vegetal. Cátedra de Producción Vegetal; ArgentinaFil: Slafer, Gustavo Ariel. Universidad de Lleida; España. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Institució Catalana de Recerca i Estudis Avancats; EspañaFil: Ordóñez, R. A.. Universidad de Lleida; EspañaFil: Gaiser, T.. Universitat Bonn; AlemaniaFil: Lorite, I. J.. Centro Alameda del Obispo; EspañaFil: Ruiz Ramos, M.. Universidad Politécnica de Madrid; EspañaFil: Ewert, F.. Universitat Bonn; Alemani

Pan-European multi-crop model ensemble simulations of wheat and grain maize under climate change scenarios

The simulated data set described in this paper was created by an ensemble of nine different crop models: HERMES (HE), Simplace (L5), SiriusQuality (SQ), MONICA (MO), Sirius2014 (S2), FASSET (FA), 4M (4M), SSM (SS), DSSAT-CSM IXIM (IX). Simulations were performed for grain maize (six models) and winter wheat (eight models) under diverse conditions over agriculturally relevant areas in the EU-27 at a 25 x 25 km spatial resolution. Simulations were drawn from combinations of three representative concentration pathways and climate outputs from five general circulation models for time periods 2040-2069 and 2070-2099. Historical climate data was the basis for simulation years 1980-2010 and considered as a baseline. Simulation results from 1980-2010 and 2040-2069 were used to analyze crop responses to changing climatic variables and their diverging sensitivities to these variables. This data paper describes the creation, motivation and format of the simulation results to enable others to use the data set