Changes in spatio-temporal distribution of AgMERRA-derived agro-climatic indices and agro-climatic zones for wheat crops in the northeast Iran

Yaghoubi, Fatemeh; Bannayan, Mohammad; Asadi, Ghorban Ali

doi:10.1007/s00484-021-02156-3

Cited by 3 publications

(1 citation statement)

References 69 publications

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“…Agroclimatic zoning is an important tool for agricultural planning and decision-making, 42,43 thus reducing the risk of crop losses, as it assesses the compatibility between species and the environment, characterizing regions with high or less aptitude, 44,45 contributing to the planning of public policies that benefit the regional socioeconomic development. 46,47 In this context, our objective was to evaluate future changes in the agroclimatic conditions of banana cultivation in Brazil.…”

Section: Introductionmentioning

confidence: 99%

Agroclimatic zoning for bananas under climate change in Brazil

et al. 2022

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BACKGROUND Climate change is the main cause of biotic and abiotic stresses in plants and affects yield. Therefore, we sought to carry out a study on future changes in the agroclimatic conditions of banana cultivation in Brazil. The current agroclimatic zoning was carried out with data obtained from the National Institute of Meteorology related to mean air temperature, annual rainfall, and soil texture data in Brazil. The global climate model BCC‐CSM1.1 (Beijing Climate Center‐Climate System Model, version 1.1), adopted by the Intergovernmental Panel on Climate Change, corresponding to Representative Concentration Pathways (RCPs) 2.6, 4.5, 6.0, and 8.5 for the period 2050 (2041–2060) and 2070 (2061–2080), obtained through the CHELSA V1.2 platform, was chosen for the climate projections of the Coupled Model Intercomparison Project 5. Matrix images at a depth of 5–15 cm, obtained through the product of the SoilGrids system, were used for the texture data. ArcGIS version 10.8 was used to construct the maps. RESULTS Areas favorable to the crop plantation were classified as suitable when air temperature TAIR was between 20 and 29 °C, annual rainfall RANNUAL between 1200 and 1900 mm, and soil clay content CSOIL between 30 and 55%. Subsequently, the information was reclassified, summarizing the classes into preferential, recommended, little recommended, and not recommended. The current scenario shows a preferential class of 8.1%, recommended of 44.6%, little recommended of 47.1%, and not recommended of 0.1% for the Brazilian territory. CONCLUSION The results show no drastic changes in the total area regarding the classes, but there is a migration from these zones; that is, from tropical to subtropical and temperate regions. RCP 8.5–2070 (2061–2080) showed trends with negative impacts on arable areas for banana cultivation at the end of the century. © 2022 Society of Chemical Industry.

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Section: Introductionmentioning

confidence: 99%

Agroclimatic zoning for bananas under climate change in Brazil

et al. 2022

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Identifying the most effective climate parameters on crop yield in rain-fed agriculture and irrigated farming in Iran

Kheyruri,

Neshat,

Sharafati

et al. 2024

Physics and Chemistry of the Earth, Parts A/B/C

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Evaluation of water management effects on potato yield and water productivity in northeast Iran using the SWAP model

Mustafavi Babukani,

Hashminejhad,

Armin

et al. 2024

Water Supply

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The agro-hydrological SWAP model was employed for simulation of evapotranspiration, yield, and water productivity of potato under six irrigation scenarios (100, 90, 80, 70, 60, and 50% potato water requirement (WR)) in Fariman, Ghoochan, and Golmakan in the northeast Iran. The results showed that the SWAP model well-simulated potato yield and water productivity. The model slightly overestimates the potato yield and underestimates the water productivity. The results revealed that irrigation scheduling is an important factor effecting on evapotranspiration, yield, and water productivity of potatoes. By decreasing irrigation water to 50% WR, potato evapotranspiration and yield decreased in all three study areas. However, potato water productivity increased in Fariman and Golmakan and decreased in Ghoochan, as irrigation volume decreased to 50% WR. In Fariman and Golmakan, irrigation at the rate of 80% WR led to the best irrigation management to have maximum water productivity (2.96 and 2.48 kg m−3, respectively) and acceptable potato yield (21,376.2 and 10,998.7 kg ha−1). In Ghoochan, by adopting the irrigation scenario at the level of 90% WR, the potato yield decreased by approximately 7.6% compared to the full irrigation conditions. However, the highest amount of water productivity (2.27 kg m−3) was achieved.

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Changes in spatio-temporal distribution of AgMERRA-derived agro-climatic indices and agro-climatic zones for wheat crops in the northeast Iran

Cited by 3 publications

References 69 publications

Agroclimatic zoning for bananas under climate change in Brazil

Agroclimatic zoning for bananas under climate change in Brazil

Identifying the most effective climate parameters on crop yield in rain-fed agriculture and irrigated farming in Iran

Evaluation of water management effects on potato yield and water productivity in northeast Iran using the SWAP model

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