Determination of the Effect of Climate Change on Wheat Yield in the Porsuk Creek Watershed

Çayan Alkan, F. Konukcu
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Abstract

The wheat is one of the main agricultural products that will be affected by climate change. The aim of the study is to determine the effect of climate change on wheat yield in Porsuk Creek Watershed. In this study, wheat yield analyzes in the Porsuk Creek watershed had been conducted using the past (2016-2017) and future (2020-2100) climate data produced according to the optimistic (RCP4.5) and pessimistic (RCP8.5) scenarios of the HadGEM2-ES global climate model, with the help of the WOFOST model. In the Porsuk Creek Watershed, a +23.8% difference for 2016 and a +1.2% difference for 2017 was determined between the observed and predicted by WOFOST model wheat biomass values (2017 values>2016 values and estimated>observed). According to the optimistic scenario results in the watershed, 0.73% wheat yield increase is expected in the near future (2020-2045). In all other remaining periods; it is estimated that there will be a decrease in wheat yields (between 0.43-1.5%). Compared to reference period (1970-2000), the climate change in the creek watershed will occur in the manner of temperature and precipitation increases in the future. As a result, although WOFOST tends to predict wheat yields greater than the observed values, it is thought that the model can be used with confidence to predict future wheat yields. As a result of this study, important data about the planning of wheat agriculture were produced by estimating the plant yield for the use of decision makers.  
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气候变化对波苏克河流域小麦产量影响的测定
小麦是受气候变化影响的主要农产品之一。这项研究的目的是确定气候变化对波苏克河流域小麦产量的影响。本研究利用HadGEM2-ES全球气候模式的乐观情景(RCP4.5)和悲观情景(RCP8.5)生成的过去(2016-2017年)和未来(2020-2100年)气候数据,借助WOFOST模型对Porsuk Creek流域的小麦产量进行了分析。在Porsuk Creek流域,WOFOST模型小麦生物量值的观测值与预测值(2017年值>2016年值,估计值>观测值)之间的2016年和2017年的差异分别为+23.8%和+1.2%。根据该流域的乐观情景结果,预计在不久的将来(2020-2045年)小麦产量将增加0.73%。在所有其他剩余期间;据估计,小麦产量将下降(0.43-1.5%)。与参考期(1970-2000)相比,未来克里克流域的气候变化将以温度和降水增加的方式发生。因此,尽管WOFOST预测的小麦产量往往大于观测值,但认为该模型可以可靠地用于预测未来的小麦产量。研究结果为小麦作物产量的估算提供了重要的小麦农业规划数据,供决策者参考。
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