Impact of climate change on maize yield in China from 1979 to 2016

Climate change severely impacts agricultural production, which jeopardizes food security. China is the second largest maize producer in the world and also the largest consumer of maize. Analyzing the impact of climate change on maize yields can provide effective guidance to national and international economics and politics. Panel models are unable to determine the group-wise heteroscedasticity, cross-sectional correlation and autocorrelation of datasets, therefore we adopted the feasible generalized least square(FGLS) model to evaluate the impact of climate change on maize yields in China from 1979–2016 and got the following results:(1) During the 1979–2016 period, increases in temperature negatively impacted the maize yield of China. For every 1°C increase in temperature, the maize yield was reduced by 5.19 kg 667 m–2(1.7%). Precipitation increased only marginally during this time, and therefore its impact on the maize yield was negligible. For every 1 mm increase in precipitation, the maize yield increased by an insignificant amount of 0.043 kg 667 m–2(0.014%).(2) The impacts of climate change on maize yield differ spatially, with more significant impacts experienced in southern China. In this region, a 1°C increase in temperature resulted in a 7.49 kg 667 m–2 decrease in the maize yield, while the impact of temperature on the maize yield in northern China was insignificant. For every 1 mm increase in precipitation, the maize yield increased by 0.013 kg 667 m–2 in southern China and 0.066 kg 667 m–2 in northern China.(3) The resilience of the maize crop to climate change is strong. The marginal effect of temperature in both southern and northern China during the 1990–2016 period was smaller than that for the 1979–2016 period.     

基于距离相关系数和KNN回归模型的森林蓄积量估测研究

【目的】探究Landsat8 OLI数据和KNN算法在森林蓄积量估测中的潜力。【方法】以湖南省湘潭县为研究区,采用Landsat8 OLI数据和同时期的二类调查数据,通过距离相关系数筛选特征,分别采用线性回归模型(MLR)、K-近邻模型(KNN)、距离加权KNN模型(DW-KNN)和优化欧式KNN模型(FW-KNN)对森林蓄积量进行估测。使用十折交叉方法进行精度检验,对检验结果进行对比分析。【结果】3种KNN模型的估测结果均高于传统的线性模型,并且在3种KNN模型中,FW-KNN算法效果最好,决定系数达到0.69,为3种模型中最高;3种KNN模型中,本研究优化欧氏距离KNN模型的估测精度最高,其均方根误差为30.3%,相比于传统KNN模型的均方根误差降低了5.1%,相比于DW-KNN模型降低了3.3%。【结论】采用DW-KNN蓄积量估测结果明显优于其他两种模型,说明通过特征与蓄积量的相关性优化样本间的距离是一种可行的KNN优化方法。     

郁金香新品种‘黄玉’

‘黄玉’是从郁金香‘Golden Apeldoorn’的芽变中选育的新品种。株高37 cm，花单生于茎顶，鲜黄色，外轮花瓣外侧黄绿色。生育期75 d，盛花期13 d，花朵品质高，抗寒能力强，是优良的盆栽和园林绿化品种。     

华南农业大学农事训练课程的理论与实践——以养蚕与缫丝课为例

以养蚕与缫丝课程模块为例,对其课程内容安排、教学特点、考核方法进行分析,并对其所面临的问题展开探讨,旨在为进一步提高相关实践教学效果提供借鉴。     

辛亥革命前后张謇与袁世凯的交往

张謇与袁世凯的交往长达三十余年,他从最初的相识荐袁、拥袁合作、相互借重到后来的分离,张謇曾幻想依靠袁世凯实现自己“实业救国”的抱负,却以失败而告终。二人分分合合,充满波折的交往过程反映了中国近代资本主义发展的艰难与坎坷。     

甘肃连城自然保护区的生态旅游资源及其评价

位于兰州市西北部的甘肃连城自然保护区,是一个具备丰厚的自然及人文旅游资源的国家级自然保护区.经多方位多层次的调查,在获取该保护区生态旅游资源完备材料的前提下,对其生态旅游资源作了分类描述;在作单项评价后,运用层次分析法对连城自然保护区的生态旅游资源进行了综合评价,据此提出了开发建议.     

发动机排气系统噪声的实验分析

以某车型配备491发动机为例,采用实验对发动机上安装和未安装排气系统时的噪声进行了比较,同时得出了在不同频率范围排气噪声对整车噪声的影响.     

木材干燥应力连续监测方法的研究

本文在卡普法的基础上，提出了木材干燥应力连续监测方法，并设计了所需的配套装置。该方法采用涡流传感器对干燥过程中卡普片的矢高进行连续测试，同时通过计算机自动采集、存储数据。结果表明：矢高与干燥时间存在精密的相关性，它们之间的相关系数大部分达到0．99以上，从而实现了木材干燥应力的自动与连续监测。