Interactive Effects of Elevated CO2 and Climate Change on Wheat Production in the Mediterranean Region

Kapur, Burçak; Aydin, Mehmet; Yano, Tomohisa; Koç, Müjde; Barutçular, Celaleddin

doi:10.1007/978-3-030-01036-2_12

Cited by 5 publications

(10 citation statements)

References 79 publications

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“…According to Chenu et al (2019), Kapur et al (2019) and Riccetto et al (2020), maize productivity depends on climate and nature of soil among others which are regarded as the yield potentials of a certain area. The crop survives with the mean daily temperature between 16 to 19 C and a consistently required amount of precipitation.…”

Section: Introductionmentioning

confidence: 99%

Understanding the determinants of climate change adaptation strategies among smallholder maize farmers in South-west, Nigeria

Adeagbo

Ojo

Adetoro

2021

Heliyon

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Climate is one of the most important factors in agricultural productivity, which could directly or indirectly influence productivity since the climate is linked to physiological processes. It is, therefore, essential to understanding the various strategies used by farmers to mitigate the adverse impact of climate change and the factors that influence maize farmers' adoption and intensity of climate change adaptation strategies among smallholder maize farmers in South-west Nigeria. In all, a sample of three hundred and thirty (311) smallholder maize farmers were interviewed. A double-hurdle count data model was employed to estimate the factors influencing farmers' adoption of adaptation strategies while accounting for selection bias with the plugging of inverse mill ratio (IMR) as a regressor. Significant variables such as household size, depreciation ratio, frequency of extension visits, access to extension, and non-farm income were factors influencing the adoption of climate change adaptation strategies among maize farmers. Age of the respondent, age square, household size, farm-based organization (FBO), non-farm income, climate information, access to credit, farmers residing in Osun State (location_Osun), distance to market significantly influenced the intensity of climate change adaptation strategies. This study, therefore, concluded that farm-level policy efforts that aim to improve rural development should focus on farmers’ membership in FBO, increase the visits of extension agents, encourage non-farm income and access to climate change information, particularly during the off-cropping season. Policies and investment strategies of the government should be geared towards supporting improved extension service, providing on-farm demonstration training, and disseminating information about climate change adaptation strategies, particularly for smallholder farmers in Nigeria.

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Section: Introductionmentioning

confidence: 99%

Understanding the determinants of climate change adaptation strategies among smallholder maize farmers in South-west, Nigeria

Adeagbo

Ojo

Adetoro

2021

Heliyon

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“…A similar performance was achieved for other sub-basins as well: In Yemisli, E was increased from −0.44 to 0.72. In Karagocer, r 2 was improved from 0.10 to 0.61, which is reasonable for a flat agricultural basin, according to Kapur et al [42]. Therefore, the model responded to the complex conditions of the LSP well and provided a meaningful and reasonable trend of the flow and NO3 distribution [42][43][44].…”

Section: Model Calibrationmentioning

confidence: 60%

Improving the Applicability of the SWAT Model to Simulate Flow and Nitrate Dynamics in a Flat Data-Scarce Agricultural Region in the Mediterranean

Dönmez

Sarı

Berberoğlu

et al. 2020

Water

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Understanding the soil and hydrologic processes in agricultural watersheds are vital for reliable assessments of water quantity and quality to support integrated river basin management. However, deriving hydrology-relevant information is complicated in flat data-scarce agricultural watersheds due to constraints in watershed delineation, flat topography, poor natural drainage, and irregular irrigation schedules by human intervention. The study aimed to improve the applicability of the Soil and Water Assessment Tool (SWAT) model to simulate daily flow and NO3 concentrations in a flat data-scarce agricultural watershed in the Lower Seyhan Plain (LSP) in Turkey. Refined digitized stream networks, discharge data derived from fully equipped gauging stations, and satellite data (Landsat 7 ETM+, Aster GDEM, etc.) had to be integrated into the modeling process to improve the simulation quality. The model was calibrated using a 2-year (2011–2012) dataset of streamflow and NO3 using the Sequential Uncertainty Fitting (SUFI-2) approach and validated from 2013 to 2018. Daily water yields were predicted with a reasonable simulation accuracy (E values ranging from 0.53 to 0.82 and percent bias (PBIAS) from 0 to +4.1). The results proved that integrating redefined stream networks to SWAT within a Geographic Information System (GIS) environment increases the simulation capability of flow and nitrate dynamics efficiently. Automated delineation of these networks and sub-basins at low topographic transitions limits the SWAT accuracy.

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“…As predicted by Zhao et al [25], wheat (6.0% reduction in global yields) will be the second affected species by each degree-Celsius increase in global mean temperature after maize (7.4%), while rice (3.2%) and soybean (3.1%) showed lower rates of increase. Nonetheless, an increase in atmospheric carbon dioxide (CO 2 ) would have a fertilizing effect, especially when the temperature increase is less than 3 • C [47,48]. Middle and high latitudes, as shown in the Nebeur region (latitude: 36 • 17 ), and rainfall changes will be beneficial to increased crop yields [40,49].…”

Section: Long-term Grain Yield and Biomass Simulationmentioning

confidence: 99%

Adoption of Durum Wheat Cultivar ‘Salim’ with a Technical Package and Its Resilience to Climate Change Impacts in Smallholders: Case of Nebeur/Kef Region, Tunisia

Ayed

Mlouhi

Bouhaouel

2021

Plants

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In recent years, there has been an urgent need for local strategies to ensure food sustainability in Tunisia, recognized as a climate change hotspot region. In this context, adaptation measures, including the adoption of high-yielding durum wheat cultivars with adequate agronomical practices, are an important avenue to improving the productivity of the smallholders that represent 80% of Tunisian farmers. Thus, this study highlights the impact of (i) the adoption of the recently marketed durum wheat cultivar ‘Salim’ as compared to the common cultivar ‘Karim’ and the transfer of a technical package to 11 farmers in the Nebeur delegation/Kef-Tunisia (semi-arid region) during the 2013/2014 and 2014/2015 cropping seasons, and (ii) climate change on the expected mean grain yield and biomass by 2070, using the CropSyst agronomic cultivation model based on multi-year crop simulations run with a daily weather series (2020–2070). The adoption of ‘Salim’ with the recommended package, compared to ‘Karim’ with the farmer practices, significantly increased the grain yield (37.84%) and biomass (55.43%). Otherwise, the impact of the 0.8 °C temperature rise on the potential yields and biomass over the next 51 years was positive. Contrary to expectations, the yield increases for the two cultivars were very close, but the yield of ‘Salim’ (36.02 q ha−1) remains much higher than that of ‘Karim’ (23.34 q ha−1). On other hand, ‘Salim’ experienced a higher increase for biomass compared to that of ‘Karim’. These results indicate that the adoption of the ‘Salim’ cultivar with its technical package might be considered as a strategy of adaptation to Nebeur conditions and to future climate change events.

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Interactive Effects of Elevated CO2 and Climate Change on Wheat Production in the Mediterranean Region

Cited by 5 publications

References 79 publications

Understanding the determinants of climate change adaptation strategies among smallholder maize farmers in South-west, Nigeria

Understanding the determinants of climate change adaptation strategies among smallholder maize farmers in South-west, Nigeria

Improving the Applicability of the SWAT Model to Simulate Flow and Nitrate Dynamics in a Flat Data-Scarce Agricultural Region in the Mediterranean

Adoption of Durum Wheat Cultivar ‘Salim’ with a Technical Package and Its Resilience to Climate Change Impacts in Smallholders: Case of Nebeur/Kef Region, Tunisia

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