A comparison of regression methods for estimating soil-atmosphere diffusion gas fluxes by a closed-chamber technique

Continuous changes in methane (CH₄) and carbon dioxide (CO₂) concentrations inside a closed chamber were measured on the forest floor at three sites: a deciduous forest and a coniferous forest in Hokkaido, Japan, and a birch forest in West Siberia, Russian Federation. Flux estimations by three types of regression methods, exponential, nonlinear, and linear, were examined using field-collected concentration data. The pattern of change with time of the gas concentration in the headspace differed, mainly according to site but also, to a lesser extent, according to the gas. This was a function of both the chamber height and surface soil property relating to soil gas diffusion and the gas concentration profile. Flux estimations did not differ statistically between the exponential and nonlinear methods for either gas at any site, because both of those regression methods were based on diffusion theory. However, the flux values estimated by linear regression were significantly different from those estimated by the other two methods for both CH₄ and CO₂ at the deciduous forest site and for CO₂ at the coniferous forest site. Shortening the chamber deployment period improved the linearity of the curve, but did not completely eliminate the error. Our results suggest that linear regression is not a good model of the change in headspace concentration with time.     

Illinois Soil Nitrogen Test Method Optimization for Analysis of Temperate Mineral Grassland Soils

ABSTRACT

A reliable and practical test that can provide timely measurements of the levels of mineralizable nitrogen (MN) in soil is critical for improving the accuracy of N fertilizer applications for grassland and crops. The Illinois soil N test (ISNT) is considered to be a good estimate of MN, once soils are grouped according to soil characteristics such as the drainage type and sampling depth. To date, development and evaluation of the ISNT method has been conducted using arable soils mainly in North America where, in general, soils have lower levels of soil organic matter (SOM) compared to temperate grassland soils. We evaluated the effects of two pre-treatment soil aggregate sizes of <1 mm and <2 mm on the yield and recovery of MN (1) across temperate grassland soil types, and (2) across a 6-h interval diffusion period. No significant difference existed in the concentrations of ISNT-N between the two soil aggregate sizes of each soil type. For both aggregate sample sizes, the recovery of spiked amino sugar-N glucosamine from a temperate grassland soil was generally linear until hour 5, after which the quantities of recovered N diminished. Although N recovery after 6 h of diffusion at 50°C (±1°C) was less than 100% in both aggregate size samples, the response models indicated that the standard ISNT protocol using a 5-h diffusion period is appropriate for temperate grassland soils. The incomplete recovery of N in these mineral soils suggested that the protocol could be further optimized for temperate soils with high organic matter content and additional evaluation of the temperature during diffusion within an enclosed environment may be required using N (spiked glucosamine-N) recovery studies.     

WeibuⅡ作物损失模型的差分法拟合

Pennypacker(1980)、Madden(1981)等学者将韦布尔(Weibull)曲线y(x)=1-exp{-((x-a)/b)~c}(x>a,b>0,c>0)用以描述植病进展和植病导致产量损失的非线性回归关系,其生物学意义和适应性引起人们注意。但是如何利用一组实验数据来拟合该模型,一直没有一个简便易行的方法。为了解决这个问题,本文研究了Weibull模型的差分法拟合技术。     

积分型Meyer-Knig-Zeller算子在Orlicz空间中的逼近阶

在Orlicz空间LM 中研究积分型Meyer-Ko　¨nig-Zeller算子的逼近阶,并得到了1种估计。     

基于典型叶片模板自动匹配的虫损叶面积测量

为了定量化评估农作物的虫害程度,提出了一种基于典型叶片模板自动匹配的叶片虫损面积测量新方法。先将叶片图像二值化并提取其外轮廓;再对提取的轮廓进行多边形近似,以多边形的顶点为端点将叶片外轮廓划分成若干子轮廓;然后采用形状上下文对完整叶片与虫损叶片之间的子轮廓进行自动配准,找出其间的相互映射关系;最后根据映射关系对虫损叶片进行重建,计算出虫损面积。对10类不同叶片的测量分析表明：该方法平均每叶片耗时0.962 s,最大相对误差为8.22%,平均相对误差为4.78%。其中,形状复杂度高的叶片平均相对误差为7.48%,复杂度中等的叶片为5.99%,复杂度低的叶片为1.84%。结果表明,该方法能准确而快速地测量虫损叶面积。     

Hilbert空间中渐近非扩张半群不动点的粘性逼近研究

研究了Hilbert空间中渐近非扩张半群不动点的粘性逼近,得到了渐近非扩张半群不动点的强收敛定理。     

aw逼近集与度量投影的连续性

该文在wCLUR(CLUR)的空间中,讨论了aw逼近紧与弱逼近紧(aw逼近紧与逼近紧)关系,并且由此得出Y是aw逼近紧,PY是范-弱(范-范)上半连续。     

The non-recoverable phosphorus following sorption onto a Brazilian Ultisol

Phosphorus (P) immobilization in soil involves geochemical (e.g., sorption, precipitation, and diffusion) and microbiological (microbial uptake) processes. Using a Brazilian Ultisol, relative contributions of both processes to the total immobilization of applied P over 14 days were investigated. The P immobilized by microbes as interpreted by microbial suppression (achieved by mercury sterilization) was 17, 50, 54, and 56% (of the total immobilized P) on days 3, 7, 10, and 14 after fertilization, respectively. In the short-term (1 to 3 days), microbes played less of a role than did the physical effect of shaking the soil, but became the major factor by days 7 to 14. Geochemical process that might be considered short-term ageing caused only 13–16% of the total immobilization in the same time period above. Calculations supported the interpretation that measurable diffusion occurred across water films on the soil particles.     

海南岛白唇竹叶青蛇扩散的初步研究

据《中国动物志》记载,海南岛的竹叶青蛇为两个物种,即白唇竹叶青蛇和福建竹叶青蛇。为研究白唇竹叶青蛇在海南岛上的扩散路线,作者采集了海南岛不同方位的标本共12号,PCR扩增其12S、16S、Cyt b、ND_4四个线粒体基因序列,共约1 446 bp,并从GenBank下载了10个个体的Cyt b和ND_4基因序列;通过绘制单倍型的统计简约网络图,进行原始单倍型分析,再绘制扩散路线图。结果显示,采自海南岛西部的单倍型较多,故初步得出结论,白唇竹叶青蛇在岛上很可能自西向东扩散。     

基于扩散理论的华北春玉米生理成熟后籽粒脱水过程分析

玉米机收籽粒可以显著提高玉米的生产效率,是玉米生产的发展方向。生理成熟后的籽粒含水率是决定机收质量的关键,受品种、密度和气候等多种因素影响。准确估算生理成熟后玉米籽粒含水率,进而分析其主要影响因素,最终确定玉米收获时间和筛选适宜机收的品种,对玉米主产区华北的春玉米籽粒机收发展具有重要意义。因此,于2017年和2018年在河北省泊头、南大港、玉田和山西榆次进行了两年田间春玉米试验,每年设置7个共性品种,每个品种3个密度,对生理成熟后籽粒含水率、品种性状、气象和管理要素进行了监测,并利用基于扩散理论考虑空气温湿度的脱水模型对籽粒含水率进行了模拟,进而计算脱水曲线下的面积(AUDDC),用以筛选脱水优异的玉米品种。结果表明,基于扩散理论的籽粒脱水模型对玉米生理成熟后籽粒含水率的模拟效果较好;年份、地点和品种对生理成熟时籽粒含水率(M_0)和水分扩散速率(k)具有显著影响,密度对脱水参数影响不显著。逐步线性回归分析得到灌浆期参考作物蒸发蒸腾量(ET_0)、最高气温和灌水量对M_0具有显著的正效应,生理成熟后30 d内ET0和灌浆中后期降雨对k具有显著的正效应,全生育期降雨对k具有显著的负效应。品种性状中对M_0影响最大的为苞叶层数(正效应),对k影响最大的为叶片数(负效应)。通过模型计算得到,生理成熟后10d华北地区春玉米籽粒含水率可以下降到28%,籽粒含水率下降到25%的概率为50%。由模型计算得到各品种生理成熟后10 d内的AUDDC,与AUDDC平均值比较发现‘京农科728’‘张1453’‘华农887’‘广德5’和‘金科玉3306’为脱水表现优异的品种。