Performance and uncertainty analysis of a short-term climate reconstruction based on multi-source data in the Tianshan Mountains region,China

Short-term climate reconstruction, i.e., the reproduction of short-term(several decades) historical climatic time series based on the relationship between observed data and available longer-term reference data in a certain area, can extend the length of climatic time series and offset the shortage of observations. This can be used to assess regional climate change over a much longer time scale. Based on monthly grid climate data from a Coupled Model Inter-comparison Project phase 5(CMIP5) dataset for the period of 1850–2000, the Climatic Research Unit(CRU) dataset for the period of 1901–2000 and the observed data from 53 meteorological stations located in the Tianshan Mountains region(TMR) of China during the period of 1961–2011, we calibrated and validated monthly average temperature(MAT) and monthly accumulated precipitation(MAP) in the TMR using the delta, physical scaling(SP) and artificial neural network(ANN) methods. Performance and uncertainty during the calibration(1971–1999) and verification(1961–1970) periods were assessed and compared using traditional performance indices and a revised set pair analysis(RSPA) method. The calibration and verification processes were subjected to various sources of uncertainty due to the influence of different reconstructed variables, different data sources, and/or different methods used. According to traditional performance indices, both the CRU and CMIP5 datasets resulted in satisfactory calibrated and verified MAT time series at 53 meteorological stations and MAP time series at 20 meteorological stations using the delta and SP methods for the period of 1961–1999. However, the results differed from those obtained by the RSPA method. This showed that the CRU dataset produced a low degree of uncertainty(positive connection degree) during the calibration and verification of MAT using the delta and SP methods compared to the CMIP5 dataset. Overall, the calibrated and verified MAP had a high degree of uncertainty(negative connection degree) regardless of the dataset or reconstruction method used. Therefore, the reconstructed time series of MAT for the period of 1850(or 1901)–1960 based on the CRU and CMIP5 datasets using the delta and SP methods could be used for further study. The results of this study will be useful for short-term(several decades) regional climate reconstruction and longer-term(100 a or more) assessments of regional climate change.     

Effect of oil source on growth performance,antioxidant capacity,fatty acid composition and fillet quality of juvenile grass carp (Ctenopharyngodon idella)

This study was conducted to evaluate the dietary use of vegetable oil sources in grass carp (Ctenopharyngodon idella). Fish were fed diets having the same lipid level from fish oil (FO), palm oil (PO), rapeseed oil (RO), soybean oil (SO) or linseed oil (LO). The results showed that dietary vegetable oils significantly decreased the feed utilization and a significantly lower growth was observed in SO group, while palm oil showed no effect on the growth performance. Dietary vegetable oils suppressed intestinal digestion by inhibiting the activities of digestive enzymes. Vegetable oils significantly elevated the activities of lipase, hepatic lipase and total lipase in liver, and a phenomenon of intense lipid accumulation emerged in liver of PO and SO groups. Furthermore, linseed oil significantly decreased plasma antioxidant capacity, whereas no significant difference was found between RO and FO groups. Dietary vegetable oils caused a significantly lower EPA and DHA in muscle, and further influenced fillet quality through an increase in cohesiveness, gumminess, chewiness and/or springiness, together with a decrease in hardness. Overall, our results indicated that rapeseed oil may be a suitable alternative oil source for grass carp from a point of growth, feed conversion ratio, antioxidative capacity and hepatic histology.     

山西省襄垣县有机旱作农业发展研究

襄垣县是山西省有机旱作试点县,根据其自然条件,通过总结该县有机旱作发展现状、制约因素及潜力分析,提出适宜的对策措施,为今后有机旱农业的发展提供一定的参考。     

环境对西府海棠锈病发生的影响与病害防治技术

西府海棠锈病是危害西府海棠的最重要病害,造成叶片枯黄、早落,影响次年的开花与结果。本研究,分析了近年来病害严重发生的环境影响因素,并提出防治技术方案。     

“虚拟仿真”背景下畜牧兽医研究生实践教学改革探索研究

研究生教育位于国民教育体系的顶端，是国家高等教育发展水平的重要标志。为培养 既具有责任担当精神，又具有宽厚的专业知识和创新能力，还具有较高的英语水平和较强的计算机网络应用能力的高层次畜牧兽医人才，本研究对我校畜牧兽医专业研究生的培养现状进行了分析总结，提出了基于“虚拟仿真”背景下人才培养的新模式，总结了虚拟仿真研究生科研平台建设的优势和使用效果，为其它专业研究生的培养提出参考。     

氮磷钾配比对长优2号产量和经济性状的影响

采用“3414”方案设计试验,研究氮磷钾不同配比施肥对长优2号产量及经济性状的影响,结果表明,氮、磷、钾对长优2号都有一定的增产效应,其中以氮的增产效应最为显著,磷与钾次之。初步得出本次试验最佳施肥量为“N”16.23㎏/667㎡、“P2O5”8.46㎏/667㎡、“K2O”16.06㎏/667㎡,NPK比接近“1：0.5：1”水平。     

基于landsat8的贵州省2015年农业干旱监测研究

在全球气候变暖背景下,干旱普遍发生,而农业干旱对国民经济发展的影响尤为明显,同时农业干旱还威胁着国家的粮食安全和生态安全。基于贵州省2015年不同季节的landsat8 OIL遥感数据,利用影像数据所获取的植被覆盖指数和地表温度数据,拟合植被指数(NDVI)和地表温度(LST)的特征空间,设计得到贵州省2015年春、夏、秋、冬四个不同季节的不同的土壤湿度,将TVDI作为监测农业干旱状况的指标,得到贵州省2015年的农业干旱时空分布图。结果表明,土壤含水率的高低与植被覆盖和地表温度有关,且TVDI更适宜中等植被覆盖的土壤湿度反演。贵州省2015年全年旱情较缓,各地区均不存在春旱或伏旱,只有冬季绝大部分地区土壤含水率较低,更有力地促进了农业干旱的发生。因此,对农业干旱的监测研究为贵州省农业干旱的监测管理提供有力依据,为今后减少农业干旱的影响和进一步促进农业社会经济可持续发展具有重要的现实意义。     

微生物对鱼粉中组胺含量的影响研究

我国鱼粉产品质量参差不齐,由于原料问题组胺含量普遍高于国际先进水平,过高的鱼粉含量易造成食品安全问题。为了降低过高的组胺含量对鱼粉品质的影响,本实验通过使用微生物参与降解鱼粉产品中的组胺。实验将降解时间与微生物添加比例作为变量,测试出较为适宜微生物降级组胺的条件,以及该条件下的实际效果。实验结果表明在设置的6个时间中(以6小时为时间梯),24h为较适宜的降解时间；在较适宜的降解时间中(24h)较适宜的微生物添加比例为10:1。此时鱼粉组胺含量为1622mg/kg,相较未加入微生物处理的鱼粉组胺含量(5298 mg/kg)降低69%。实验结果证明了微生物处理鱼粉中组胺具有显著的效果,为鱼粉生产、储存技术的改良提供了参考依据。     

宜昌市乡村景观遗产可持续发展模式研究

通过分析宜昌市乡村旅游概况,剖析同质化与适宜性、不均衡与剥离性、区域协同性与再认识3个方面的问题,提出建立景观适宜性评价体系、加大基础服务设施、保护与发展相协调的可持续发展策略。     

巨菌草在动物饲养和生态改善领域的应用研究进展

巨菌草具有适应性广、抗逆性强、根系发达、营养含量丰富、产量高等特点,近年来在动物饲养和生态改善领域得到了广泛应用。本文综述了近年来巨菌草在动物饲养和生态改善领域的最新研究应用进展,对其存在的问题进行讨论,并对其发展前景提出了建议,以期为巨菌草的开发利用提供参考。