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Author Gabaldón-Leal, C.; Webber, H.; Otegui, M.E.; Slafer, G.A.; Ordonez, R.A.; Gaiser, T.; Lorite, I.J.; Ruiz-Ramos, M.; Ewert, F.
Title Modelling the impact of heat stress on maize yield formation Type Journal Article
Year 2016 Publication Field Crops Research Abbreviated Journal Field Crops Research
Volume 198 Issue Pages (down) 226-237
Keywords Heat stress; Maize; Zea mays (L); Crop models; HIGH-TEMPERATURE STRESS; KERNEL NUMBER; CROP GROWTH; GRAIN-YIELD; SIMULATION; CLIMATE; HYBRIDS; SET; VALIDATION; COMPONENTS
Abstract 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 degrees 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 degrees C improved yield simulation using air temperature (RMSE: 221 gm(-2)) without the need to simulate canopy temperature (RMSE: 175 gm(-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. (C) 2016 Elsevier B.V. All rights reserved.
Address 2016-11-17
Corporate Author Thesis
Publisher Place of Publication Editor
Language English Summary Language Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 0378-4290, 1872-6852 ISBN Medium Article
Area Expedition Conference
Notes ft_macsur, CropM Approved no
Call Number MA @ admin @ Serial 4880
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Author Below, T.B.; Mutabazi, K.D.; Kirschke, D.; Franke, C.; Sieber, S.; Siebert, R.; Tscherning, K.
Title Can farmers’ adaptation to climate change be explained by socio-economic household-level variables Type Journal Article
Year 2012 Publication Global Environmental Change Abbreviated Journal Glob. Environ. Change
Volume 22 Issue 1 Pages (down) 223-235
Keywords Sub-Saharan Africa; Tanzania; Adaptive capacity; Index; Vulnerability; Adaptation; adaptive capacity; environmental-change; south-africa; vulnerability; variability; resilience; tanzania; framework; drought; policy
Abstract A better understanding of processes that shape farmers’ adaptation to climate change is critical to identify vulnerable entities and to develop well-targeted adaptation policies. However, it is currently poorly understood what determines farmers’ adaptation and how to measure it. In this study, we develop an activity-based adaptation index (AAI) and explore the relationship between socioeconomic variables and farmers’ adaptation behavior by means of an explanatory factor analysis and a multiple linear regression model using latent variables. The model was tested in six villages situated in two administrative wards in the Morogoro region of Tanzania. The Mlali ward represents a system of relatively high agricultural potential, whereas the Gairo ward represents a system of low agricultural potential. A household survey, a rapid rural appraisal and, a stakeholder workshop were used for data collection. The data were analyzed using factor analysis, multiple linear regression, descriptive statistical methods and qualitative content analysis. The empirical results are discussed in the context of theoretical concepts of adaptation and the sustainable livelihood approach. We found that public investment in rural infrastructure, in the availability and technically efficient use of inputs, in a good education system that provides equal chances for women, and in the strengthening of social capital, agricultural extension and, microcredit services are the best means of improving the adaptation of the farmers from the six villages in Gairo and Mlali. We conclude that the newly developed AAI is a simple but promising way to capture the complexity of adaptation processes that addresses a number of shortcomings of previous index studies.
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Corporate Author Thesis
Publisher Place of Publication Editor
Language English Summary Language Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 0959-3780 ISBN Medium Article
Area Expedition Conference
Notes TradeM Approved no
Call Number MA @ admin @ Serial 4467
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Author Olesen, J.E.; Niemeyer, S.; Ceglar, A.; Roggero, P.-P.; Lehtonen, H.; Schönhart, M.; Kipling, R.
Title Section 5.3. Agriculture Type Book Chapter
Year 2017 Publication Abbreviated Journal
Volume Issue Pages (down) 223-243
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Corporate Author Thesis
Publisher European Environmental Agency Place of Publication Copenhagen, Denmark Editor
Language Summary Language Original Title
Series Editor Series Title Climate change, impacts and vulnerability in Europe 2016. An indicator-based report Abbreviated Series Title
Series Volume EEA Report (1/2017) Series Issue Edition
ISSN ISBN Medium
Area Expedition Conference
Notes CropM, LiveM, TradeM Approved no
Call Number MA @ admin @ Serial 4964
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Author Mitter, H.; Schmid, E.; Schneider, U.A.
Title Modelling impacts of drought and adaptation scenarios on crop production in Austria (Modellierung von Auswirkungen verschiedener Dürre- und Anpassungsszenarien auf die agrarische Pflanzenproduktion in Österreich) Type Conference Article
Year 2014 Publication Jahrbuch der ÖGA Abbreviated Journal
Volume 24 Issue Pages (down) 223-234
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Area Expedition Conference 24. Jahrestagung der Österreichischen Gesellschaft für Agrarökonomie, 2014-09-25 to 2014-09-26, Vienna
Notes TradeM Approved no
Call Number MA @ admin @ Serial 5026
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Author Kowalczyk, A.; Kuźniar, A.
Title The threats of water erosion in the Grajcarek river basin Type Journal Article
Year 2012 Publication Polish Journal of Environmental Studies Abbreviated Journal Pol. J. Environ. Stud.
Volume 21 Issue 5a Pages (down) 217-221
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Corporate Author Thesis
Publisher Place of Publication Editor
Language English Summary Language Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN ISBN Medium Article
Area Expedition Conference
Notes CropM Approved no
Call Number MA @ admin @ Serial 4588
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