Knowledge Resource Center for Ecological Environment in Arid Area
酸枣耗水特征分析及预测模型的构建 | |
其他题名 | Water-consumption characteristics and prediction models of Zizyphus jujuba var. spinosa |
滕慧颖1; 马长明2; 刘春鹏3; 谢晓亮4; 田伟4 | |
来源期刊 | 中南林业科技大学学报
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ISSN | 1673-923X |
出版年 | 2020 |
卷号 | 40期号:1页码:22-29 |
中文摘要 | 【目的】探讨酸枣Zizyphus jujuba var. spinosa的耗水特性,构建其耗水模型,以期为干旱区酸枣造林及人工补水提供理论依据和技术支持。【方法】采用热扩散探针法(TDP)对酸枣的树干液流进行连续监测,并利用全自动小型气象站对其环境因子进行同步测定,进而分析了酸枣的耗水特性,探讨了其耗水与环境因子的关系,并构建了酸枣耗水的预测模型。【结果】1)酸枣树干液流呈现昼高夜低相互交替的变化规律,白天树干液流具有一定的波动性,呈现多峰。晴天时液流启动、达到首峰、开始下降时间均早于阴天,而达到最大值时间晚于阴天;晴天时液流最大值、平均液流速度和耗水量均大于阴天。2)与其他月份树干液流波形相比,5月份波动性较大,10月份呈现双峰;各月份平均液流速度和日均耗水量呈现先升高后降低的趋势,6- 7月份最大,9-10月最小。3)树干液流主要与太阳辐射、大气温度和空气相对湿度相关,其中与太阳辐射和大气温度呈显著正相关,与空气相对湿度呈显著负相关;各月份的相关性呈现先升高后降低的趋势。4)构建了酸枣各月耗水预测模型,经F检验,各模型均达到显著水平,除9-10月份外,调整R~2均达到0.8以上,拟合良好;经过验证,利用耗水模型计算的预测值与真实值整体误差率均小于10%,说明耗水模型均具有一定的可靠性。【结论】总结了酸枣的耗水规律,揭示了其耗水与环境因子的相关性,构建了耗水预测模型,经验证,具有一定的可靠性。 |
英文摘要 | 【Objective】In order to provide theoretical basis and technical support for afforestation and water supplement of Zizyphus jujuba var. spinosa in arid area,the water-consumption characteristics were studied and the prediction models were constructed【. Method】 The stem sap flow of Zizyphus jujuba var. spinosa was detected continuously with the thermal dissipation probe(TDP),meanwhile,the environmental factors were detected with automatic miniature weather station,then this paper analyzed the water-consumption characteristics of Zizyphus jujuba var. spinosa,and studied the relationship between its water-consumption and environmental factors,and then constructed the prediction models.【Result】1)The stem sap flow of Zizyphus jujuba var. spinosa is higher during the day time and lower in the night;there is some volatility with many peaks during the day time. Compared with cloudy days,the starting time,peak-appearing time and descending time of the stem sap flow are earlier,and the max-apearing time is later in sunny days. The max and average value of sap flow velocity,the daily water consumption are all higher in sunny days than in cloudy days. 2)As far as the variation of the stem step flow,compared with other months,there are more obvious volatility in May,and there are double peaks in October. The average of sap flow velocity and the daily water consumption of every month increase at first and decrease subsequently,with the max value in June and July and the minimum value in September and October. 3)The stem sap flow are mainly correlated with solar radiation,air temperature,air relative humidity,and it has significant positive correlation with solar radiation and air temperature,significant negative correlation with air relative humidity. The correlation coefficient of every month increase at first and decrease subsequently. 4)Water-consumption prediction models are constructed in every month,and are all significant by F test;the adjusted R~2 are all above 0.8 indicating better fit except September and October;By the verification,the relative error rate between predictive value calculated with models and measured value in every month is bellow 10%,and indicate the reliability of all water-consumption prediction models.【Conclusion】This paper summarize the water-consumption characteristics of Zizyphus jujuba var. spinosa,and reveal the relationship between its water-consumption and environmental factors,and then construct the prediction models which have certain reliability by verification. |
中文关键词 | 树干液流 ; 野生酸枣 ; 预测模型 ; 耗水量 ; 环境因子 |
英文关键词 | stem sap flow Zizyphus jujuba var. spinosa prediction model water consumption environmental factors |
语种 | 中文 |
收录类别 | CSCD |
WOS类目 | FORESTRY |
WOS研究方向 | Forestry |
CSCD记录号 | CSCD:6682512 |
资源类型 | 期刊论文 |
条目标识符 | http://119.78.100.177/qdio/handle/2XILL650/318463 |
作者单位 | 1.国家半干旱农业工程技术研究中心, 国家半干旱农业工程技术研究中心, 石家庄, 河北 050051, 中国; 2.河北农业大学林学院, 保定, 河北 071000, 中国; 3.河北省林业和草原科学研究院河北省林木良种技术创新中心, 石家庄, 河北 050061, 中国; 4.河北省农林科学院经济作物研究所, 石家庄, 河北 050051, 中国 |
推荐引用方式 GB/T 7714 | 滕慧颖,马长明,刘春鹏,等. 酸枣耗水特征分析及预测模型的构建[J],2020,40(1):22-29. |
APA | 滕慧颖,马长明,刘春鹏,谢晓亮,&田伟.(2020).酸枣耗水特征分析及预测模型的构建.中南林业科技大学学报,40(1),22-29. |
MLA | 滕慧颖,et al."酸枣耗水特征分析及预测模型的构建".中南林业科技大学学报 40.1(2020):22-29. |
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