基于龙泉驿不同品种桃积温的初花期预测模型

Chen Chao, Tian Shan, Li Mei-Yan, Xiao Xiao
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摘要

物候模型是基于植物对环境因子响应机制的数学模型,可以用来模拟植物的生长发育。到目前为止,许多学者已经建立了各种类型的物候模型。我们知道,植物物候期的变化与气象条件密切相关。以往的研究表明,温度在影响植物物候期的各种气象因子中起着关键和决定性的作用。近年来,物候模型被用于重建过去的气候变化、预测树种分布变化、植物灾害风险评估等方面。龙泉驿是国家级成都经济技术开发区所在地。龙泉驿盛产桃子。桃树是该地区主要的经济作物和观赏植物之一。准确预测桃花花期对提高当地农民收入和适应旅游气象服务需求具有重要意义。本文以龙泉宜市气象局物候气象资料为基础,通过线性回归和统计分析,建立了基于有效积温的不同品种桃花初花期预测模型,并对桃花初花期进行了模拟和试验。同时,分析了通过试验的预测模型在温度变化下的响应灵敏度。我们知道,利用有效积温建立的预测模型,可以模拟传统桃花、温室桃花和观赏桃花的初花期,且精度较高。最后,得到了三种桃种的预测模型对温度因子变化的敏感性结果。同期气温下降2℃,3种桃花的初花期平均推迟15.38d。同期气温升高2℃,3种桃花的初花期平均为17.33d。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The prediction model of initial flowering based on accumulated temperature of different species peach in Longquanyi
The phenological model refers to a mathematical model based on the response mechanism of plants to environmental factors, which can be used to simulate plant growth and development.So far, many scholars have established various types of phenological models. We know that changes in phenological period of plants are closely related to meteorological conditions. Previous studies have shown that temperature plays a key and decisive role in various meteorological factors which affects phenological period of plants. In recent years, phenological models have been used to reconstruct past climate change, predict changes in tree species distribution, and plant disaster risk assessment, etc. Longquanyi is the seat of the state-level Chengdu Economic and Technological Development Zone. Longquanyi is rich in peaches. And the peach is one of the main economic crops and ornamental plants in the area. Accurately predicting the flowering period of peach blossoms will play an important role in increasing the income of local farmers and adapting to the demand for tourism meteorological services. Based on the phenological and meteorological data of Meteorological Bureau of Longquanyi, this paper establishes prediction models for the initial flowering period of different species of peach blossoms based on effective accumulated temperature by linear regression and statistical analysis, and carries out the simulation and test of the initial flowering period. At the same time, we have analyzed the response sensitivity of the prediction model that passed the test under the temperature change. We know that the initial flowering period of traditional peach blossom, greenhouse peach blossom and ornamental peach blossom can be simulated based on the prediction model established by effective accumulated temperature, and the accuracy is high. The last,We can get the results of the sensitivity of the prediction model of the three types of peach to the change of temperature factor. During the same period, the temperature decreased by 2 °C, and the initial flowering period of the three types of peach blossoms was delayed by 15.38d on average. During the same period, the temperature increased by 2 °C, and the initial flowering period of the three types of peach blossoms was 17.33d on average.
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