Forecasting the effect of climate on the amount of production and yield of vegetables in Khuzestan province Case study (tomatoes, cucumbers and watermelons)

Sadatasl, Lale; Yavari, Gholamreza; Ejlali, Farid; Paroon, Sadigheh

doi:10.22034/iuvs.2022.557127.1222

Forecasting the effect of climate on the amount of production and yield of vegetables in Khuzestan province Case study (tomatoes, cucumbers and watermelons)

Document Type : Original Article

Authors

Lale Sadatasl

Gholamreza Yavari

Farid Ejlali

Sadigheh Paroon

Department of Agriculture, Payame Noor University, Tehran, Iran

10.22034/iuvs.2022.557127.1222

Abstract

1.Introduction: The agriculture section as a subsection of our economy receives the most impact under the climate fluctuations. Climate change is an unsustainable factor affecting the yield of agricultural crops. Therefore, agricultural production, especially rainfed cultivation, has a high correlation with climatic factors. Climate change, in addition to affecting the production of agricultural crops, affects the sustainability and performance of agricultural products by influencing water resources. Agricultural product performance forecasting is one of the management tools in agricultural sector planning and policy making. The purpose of the current study was to evaluate the yield and production rate of three summer crops including cucumber, tomato and watermelon due to climate change in Khuzestan province and their prediction for the years 2025 to 2100.
2.Materials and Methods: In order to evaluate the reaction function of summer crops yield in Khuzestan province, meteorological data including precipitation, minimum temperature, maximum temperature and relative humidity of 13 meteorological stations including Ahvaz, Izeh, Andimeshk, Mahshahr, Behbahan, Dezful, Azadegan, Ramhormoz, Shushtar, Masjed Soleiman, Omidieh, Shadegan and Shoush was collected during the years 1991 to 2020. Excel and SPSS software were used to calculate and analyze the indicators. The climatic indices of Khuzestan province were divided into two climatic regions. Region (1) included Ahvaz, Mahshahr, Behbahan, Shoushtar, Omidie, Shadegan and Shoush, and region (2) included Dezful, Azadegan, Ramhormoz, Masjed Soliman and Andimeshk. The yield function of three products including cucumber, tomato and watermelon at two regions was estimated using panel data and Eviews software. Then, the yield and production rate of crops were predicted using the climate forecasting scenarios for the years 2025 to 2100.
3.Results and Discussion: The results showed that temperature had a negative and significant effect on the yield of tomato in region (1) and region (3), but it had a positive and significant effect on the yield of region (2). Rainfall had a negative and significant effect on the yield of tomato in region (1). But rainfall had a positive and significant effect on the yield of crops in region (2) and (3). Humidity had a positive and significant effect on tomato in region (1) and (2), but it had a negative effect on region (3). Temperature had a positive and significant effect on cucumber yield in region (1) and region (3). But it had a negative effect on the yield of cucumber in region (2). Rainfall had a positive and significant effect on cucumber yield in region (1) and (3). But it had a negative effect on the performance of region (2). Humidity also had a positive effect on the performance of cucumber in region (1), but it had a negative effect on the performance of region (2) and (3). Temperature had a negative and significant effect on watermelon yield in region (1) and (3), but it had a positive effect on watermelon yield in region (2). Rainfall had a negative and significant effect on the yield of watermelon in region (1), but it did not have a significant effect on the yield of region (2) and (3). Humidity had a negative and significant effect on the yield of watermelon in region (1) and (3), but it had a positive and significant effect on the yield of region (2). Also, the results showed that the highest percentage of yield changes in climate scenarios were related to cucumber in region (3) and watermelon and tomato in region (2). The results of forecasting the production rate of selected crops during the years 2100-2025 showed that the highest production rate was related to tomato in region (2), watermelon in region (2) and watermelon in region (1). Based on the results, during the years 2100-2025, the cultivated area of tomato crop in region (1) showed a more downward trend, but the cultivated area of cucumber crop in region (1) showed a more upward trend.
4.Conclusion: The results of yield forecasting until year 2100 showed that cucumber crop in region (3) and watermelon and tomato crops in region (2) have respectively higher increase rate of yield. Also, results demonstrated that in region (2), tomato and watermelon have higher production rate, respectively. Given to adverse effects of climate change on the production of studied crops and in order to prevent considerable reduction of production rate, solutions should be provided to adapt more to climate conditions, such as changing the cultivation pattern, optimal management of resources and production of varieties resistant to climate change. Therefore, according to the obtained results, it could be stated that region (2) has a relative advantage in the production of watermelon and tomato crops.

Keywords

Climatic factors

Climate forecasting scenario

Panel data

Yield reaction function

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