Impact of land‐use intensity on the relationships between vegetation indices,photosynthesis and biomass of intensively and extensively managed grassland fens

Vegetation indices are widely used as model inputs and for non‐destructive estimation of biomass and photosynthesis, but there have been few validation studies of the underlying relationships. To test their applicability on temperate fens and the impact of management intensity, we investigated the relationships between normalized difference vegetation index (NDVI), leaf area index (LAI), brown and green above‐ground biomass and photosynthesis potential (PP). Only the linear relationship between NDVI and PP was management independent (R² = 0·53). LAI to PP was described by a site‐specific and negative logarithmic function (R² = 0·07–0·68). The hyperbolic relationship of LAI versus NDVI showed a high residual standard error (s.e.) of 1·71–1·84 and differed between extensive and intensive meadows. Biomass and LAI correlated poorly (R² = 0·30), with high species‐specific variability. Intensive meadows had a higher ratio of LAI to biomass than extensive grasslands. The fraction of green to total biomass versus NDVI showed considerable noise (s.e. = 0·13). These relationships were relatively weak compared with results from other ecosystems. A likely explanation could be the high amount of standing litter, which was unevenly distributed within the vegetation canopy depending on the season and on the timing of cutting events. Our results show there is high uncertainty in the application of the relationships on temperate fen meadows. For reliable estimations, management intensity needs to be taken into account and several direct measurements throughout the year are required for site‐specific correction of the relationships, especially under extensive management. Using NDVI instead of LAI could reduce uncertainty in photosynthesis models.     

Whole wheat bread: Effect of bran fractions on dough and end-product quality

Consumption of whole-wheat based products is encouraged due to their important nutritional elements that benefit human health. However, the use of whole-wheat flour is limited because of the poor processing and end-product quality. Bran was postulated as the major problem in whole wheat breadmaking. In this study, four major bran components including lipids, extractable phenolics (EP), hydrolysable phenolics (HP), and fiber were evaluated for their specific functionality in flour, dough and bread baking. The experiment was done by reconstitution approach using the 2⁴ factorial experimental layout. Fiber was identified as a main component to have highly significant (P < 0.05) and negative influence on most breadmaking characteristics. Although HP had positive effect on farinograph stability, it was identified as another main factor that negatively impacted the oven spring and bread loaf volume. Bran oil and EP seemed to be detrimental to most breadmaking characteristics. Overall, statistical analysis indicates that influence of the four bran components are highly complex. The bran components demonstrate multi-way interactions in regards to their influence on dough and bread-making characteristics. Particularly, Fiber appeared to have a high degree of interaction with other bran components and notably influenced the functionality of those components in whole wheat bread-making.     

西安气温日变化特征的城郊差异

为了研究城市化对西安气温日变化的影响,利用西安及其郊区站咸阳1961—2013年4次气温的观测资料,采用城郊对比法对西安和咸阳2个站气温的年、季节、6 h变温、昼夜温差的变化特征进行对比分析,揭示城市化对西安气温日变化特征的影响。结果表明:(1)西安市气温的变化无论哪个时次都高于咸阳且呈上升趋势,2时西安气温的上升幅度最显著,0.56℃/10 a,14时西安与咸阳气温变化趋势基本一致;(2)西安城市气温上升变化幅度从1990s中期开始明显增大,且城市季节变化趋势最明显的是春季,其次是冬季,夏季变化最小,咸阳气温变暖趋势明显滞后于西安5~8年;6 h气温变化温幅度最大的是早晨到中午这个时段,最小的是夜间到早晨。     

中国大陆地区基于太阳辐射经验值计算ET0的适用性研究

太阳辐射是利用FAO推荐的Penman-Monteith(PM)公式计算参考作物需水量(ET_0)的必要参数。为了探究PM公式在辐射数据缺失的条件下,利用FAO推荐的公式及参数获得太阳辐射值(R_(s_c))替代观测值(R_(s_o))在中国大陆地区的适用性,本研究选用了中国大陆112个站点至少15 a的多年月平均观测数据,通过逐点计算分析了R_(s_c)和R_(s_o)的时空差异及二者分别输入PM公式获得的参考作物需水量ET_(0_c)和ET_(0_o)的时空差异。结果表明,R_(s_c)与R_(s_o)存在显著的时空差异性,二者相对差值范围为-2.86～4.41 MJ·m~(-2)·d~(-1),且在4—8月份差异较大;大致以"胡焕庸线"为界,线西北区域R_(s_c)与R_(s_o)的时空差异相对较小,且稳定,线东南区域的时空差异较大,且不稳定。但是,基于二者计算的ET_(0_c)和ET_(0_o)时空差异却不显著,平均只有0.06～0.26 mm·d~(-1)的误差;"胡焕庸线"西北地区的ET_(0_c)和ET_(0_o)绝对差值常年稳定在0.00～0.25 mm·d~(-1),"胡焕庸线"线东南地区则随季节而变化,夏季差异相对较大。在实际的应用中,西北地区全年和北方地区春、秋、冬三季以及长江、珠江流域所覆盖的南方地区在1、2、10、11、12月使用R_(s_c)替代R_(s_o)获得ET_0具有较好的适用性,北方地区的夏季、南方地区的3—9月份使用R_(s_c)计算ET_0则必须研究相应的方法对结果进行矫正,否则会有误差,且偏大。     

日粮阴阳离子差对泌乳前期热应激奶牛血液酸碱平衡和生产性能的影响

研究日粮阴阳离子差对泌乳前期热应激奶牛血液酸碱平衡和生产性能的影响,选用36头热应激条件下泌乳前期荷斯坦奶牛,采用完全随机试验设计(n=12),以不同日粮阴阳离子差[DCAD;(Na K )-(Cl- S2-)mEq/kgDM]为试验处理,即对照组(DCAD为 130.49 mEq/kg DM),试验Ⅰ组(DCAD为 251.54 mEq/kg DM)和试验Ⅱ组(DCAD为 383.87 mEq/kg DM),试验期42 d。结果表明:(1)提高日粮DCAD可明显增强奶牛血液的缓冲能力和运氧能力。血液pH和碱超值随着日粮DCAD的升高而上升(P<0.05),DCAD对其他血气指标的影响不明显,其中二氧化碳总量、二氧化碳分压、实际碳酸氢盐、氧饱和度均逐渐增加(P>0.05),而氧分压则呈峰形变化(P>0.05);(2)DCAD对奶牛血清尿素氮、总蛋白、白蛋白的影响均达到了极显著水平(P<0.01),肌酸磷酸激酶变化明显(P<0.05),血糖含量直线上升(P>0.05);(3)适当提高日粮DCAD可显著提高奶牛的生产性能。试验Ⅰ组和试验Ⅱ组的4%标准乳较对照组分别提高了11.0%和5.1%(P<0.05),而乳脂率明显降低(P<0.05),乳蛋白率(P<0.05)和乳糖含量(P>0.05)随日粮DCAD的升高而增加。综合以上各项指标考虑,建议以试验Ⅰ组(DCAD为 251.54 mEq/kg DM)作为泌乳早期奶牛的DCAD日粮。     

大流量电液控制阀设计与试验

设计了一种大流量电液控制阀,采用压差反馈取代常用的位移反馈,为二级阀闭环提供了一种新方法并降低了成本;采用椭圆油口降低了阀芯长度与质量,有利于提高系统频响。建立了电液控制阀系统的数学模型并进行了仿真分析,结果表明采用矩形窗口与三角形窗口组合的复合节流窗口的设计可同时满足大流量时的快速性与小流量时的稳定性要求,电液控制阀最大流量为417 L/min,在±50%输入信号下频响为73 Hz。研制了试验样机并成功应用于液压软管脉冲试验系统,系统在不同负载下的水锤波响应进一步验证了所设计大流量电液控制阀应用的广泛性。     

规模化畜禽养殖场粪便养分数据空间化表征方法

针对目前进行规模化养殖场粪便养分分配,主要以行政单元为单位将规模化养殖统计数据总量按农田面积简单分配,认为所有的农用地之间都是均匀的,而忽视了农用地块之间存在差异性的问题,利用GIS空间分析技术,结合农用地地块间的空间差异性以及规模养殖畜禽粪便作为肥料施用的特殊性,构建了规模化畜禽养殖统计数据空间化算法,并结合农用地最大养分负荷,实现从规模畜禽养殖统计数据到区域畜禽粪便养分供给的空间化转换,最后以福州市闽侯县上街镇为例进行了算法的实际应用。结果表明研究区农用地氮、磷最大养分负荷分别为169.994 kg/hm2和34.973 kg/hm2。无论是畜禽养殖粪便氮养分还是磷养分,都未超过算法设定的阈值。     

浅谈推算和预测宏观尺度土壤N_2O释放量的方法

土壤是N2 O的最主要释放源 .本文综述了根据局部地区土壤N2 O释放观察结果 ,推算和预测宏观尺度土壤甚至全球土壤N2 O释放通量变化和年释放量的方法 ,评述了各类方法的优缺点 ;并着重讨论了释放过程机理模型的应用 .     

用GIS和作物模型对作物生产进行区域模拟方法

简要地介绍了区域模拟及对模拟结果进行检验的方法。基于空间地理信息的模拟既能反映大范围地区内气候、土壤等地理信息的空间变量对作物产量的影响 ,也能反映不同地区社会经济情况、农业耕作方式等对作物生产的影响。在GIS技术支持下 ,对基于站点的作物生长模拟模型进行改造 ,从而对大区域范围进行以特点网格 (如 5 0km× 5 0km)为单元的模拟     

水稻的硅素积累与分配特性及其基因型差异

研究了南方稻区30个水稻品种(系)的硅素积累与分配特性及其基因型差异。结果表明,水稻成熟期植株含硅量在1.62％～2.66％之间,植株含硅量的基因型差异显著;前期硅素积累量少,幼穗分化期以后硅素积累量占总积累量的3/4,不同生育阶段硅素积累的基因型差异达显著或极显著水平。硅在器官中的分配因生育期及栽培季节不同而异,早季成熟期硅在茎叶穗中的分配比例分别为43.36％、23.07％和33.57％,晚季分别为33.23％、19.75％、47.02％。水稻硅素积累量与干物质积累量、稻谷产量及N、P、K积累量呈显著相关。