Estimation of soil strength properties for critical rooting conditions

Methods to aid in the large-scale testing and characterization of Coastal Plain soils based on their susceptibility to root-limiting strength problems were developed and analyzed. They were basically regression equations modeled after a Taylor series expansion. The equations relate changes of soil strength, bulk density and soil water content between field and “critical rooting conditions”. Once equations wered eveloped from a data set of 426 laboratory samples, critical rooting bulk density was predicted for a separate set of laboratory and field samples. All laboratory samples and appropriate field samples were equilibrated at — 100 kPa soil-water potential. Soils used were sandy Ultisols, which may limit the scope of equations.

In many cases, changes in the water contents were not a significant factor in the prediction of soil strength. This may be a reflection of the limited capabilities of the equations, the uniform equilibration of soil-water potential of the soils, or the fact that the slope of the strength vs. bulk density curve is independent of water content over the range of samples considered. Nevertheless, it does simplify the equations and may suggest that a series of several equations for different soil types would be better than a single equation that requires soil-water content.     

Analysis of virgin olive oil volatiles by a novel electronic nose based on a miniaturized SAW sensor array coupled with SPME enhanced headspace enrichment

A novel electronic nose based on solid-phase microextraction (SPME) coupled with a surface acoustic wave (SAW) sensor array has been used to analyze different quality virgin olive oils. A mathematical model was designed with 37 samples to distinguish lampante from the other virgin olive oils categories (extra-virgin and virgin), because lampante-virgin olive oils cannot be consumed without a previous refining process. The model, successfully validated with a test set of 16 samples, was able to classify 90% of the samples correctly. Misclassifications were explained by SPME-HRGC analyses and a second sensory evaluation.     

农业机械化发展效应的全局密切值法测度

构建了我国农业机械化发展效应测度的ICOE指标体系,应用全局密切值法对我国各省、市、自治区农业机械化发展效应进行测度.根据测度结果将全国各省、市、自治区农业机械化发展效应划分为A、B、C 3个等级,并分析了2004、2006年各省、市、自治区农业机械化发展效应变化的原因.     

Photosynthetic pathway and biomass energy production

The current interest in locating new or alternative sources of energy has focused attention on solar energy capture by crops that can be subsequently utilized as a substitute for fossil fuels. The very high productivity of sugarepane and the fact that it accumulates sugars that are directly fermentable to alcohol may have caused seemingly less productive crops to be overlooked. We show here that recoverable alcohol from achievable commercial yields of pineapple can actually equal that of sugarcane, with the pineapple crop requiring only a fraction of the water used by sugarcane. Pineapple is well adapted to the subhumid or semiarid tropics and thus is particularly well suited for exploiting large areas not now under cultivation with any crop of commercial value.     

New method for detecting cellular transforming genes

Tumor induction in athymic nude mice can be used to detect dominant transforming genes in cellular DNA. Mouse NIH 3T3 cells freshly transfected with either cloned Moloney sarcoma proviral DNA or cellular DNA's derived from virally transformed cells induced tumors when injected into athymic nu/nu mice. Tumors were also induced by cells transfected with DNA from two tumor-derived and one chemically transformed human cell lines. The mouse tumors induced by human cell line DNA's contained human DNA sequences, and DNA derived from these tumors was capable of inducing both tumors and foci on subsequent transfection. Tumor induction in nude mice represents a useful new method for the detection and selection of cells transformed by cellular oncogenes.     

Correction to: Individual based modelling of fish migration in a 2-D river system: model description and case study

Landscape Ecology - In the original publication of the article, the third author name has been misspelt. The correct name is given in this Correction. The original version of this article was revised.     

Evaluating the effect of 3D urban form on neighborhood land surface temperature using Google Street View and geographically weighted regression

Landscape Ecology - Land surface temperature (LST) directly responds to incoming solar radiation and is strongly influenced by vertical urban structures, such as trees and buildings that provide...     

A comparison of popular approaches to optimize landscape resistance surfaces

Landscape Ecology - Landscape resistance surfaces are often used to address questions related to movement, dispersal, or population connectivity. However, modeling landscape resistance is...     

The value of linking paleoecological and neoecological perspectives to understand spatially-explicit ecosystem resilience

Context

Predicting ecosystem resilience is a challenge, especially as climate change alters disturbance regimes and conditions for recovery. Recent research has highlighted the importance of spatially-explicit disturbance and resilience processes to long-term ecosystem dynamics. “Neoecological” approaches characterize resilience mechanisms at relatively fine spatio-temporal resolutions, but results are difficult to extrapolate across broad temporal scales or climatic ranges. Paleoecological methodologies can consider the effects of climates that differ from today. However, they are often limited to coarse-grained spatio-temporal resolutions.

Methods

In this synthesis, we describe implicit and explicit examples of studies that incorporate both neo- and paleoecological approaches. We propose ways to build on the strengths of both approaches in an explicit and proactive fashion.

Results

Linking the two approaches is a powerful way to surpass their respective limitations. Aligning spatial scales is critical: Paleoecological sampling design should incorporate knowledge of the spatial characteristics of the disturbance process, and neoecological studies benefit from a longer-term context to their conclusions. In some cases, modeling can incorporate non-spatial data from paleoecological records or emerging spatial paleo-data networks with mechanistic disturbance/recovery processes that operate at fine spatiotemporal scales.

Conclusions

Linking these two complementary approaches is a powerful way to build a complete understanding of ecosystem disturbance and resilience.

     

有机态和无机态硼对柑橘枳橙砧木生长及生理的影响

以柑橘枳橙[Citrus siinensis(L.)Osb.×Poncirus trifoliata(L.)Raf.]砧木为试验材料,采用水培方式,研究有机态山梨醇—硼和无机态硼酸对其生长及各种生理指标的影响。两种形态硼都能增加砧木幼苗各部位的干、鲜质量和株高;有机态山梨醇—硼对地下部生长的促进作用尤为明显。有机态山梨醇—硼比无机态硼酸更易于向叶片等地上部位转运,有机态山梨醇—硼处理根和茎中的硼含量与无机态硼酸处理没有显著差异,但叶片中的硼含量与硼积累量均显著高于无机态硼酸处理,叶片占总硼含量的比例也显著高于无机态硼酸处理。有机态山梨醇—硼处理各部位钾、钙、镁元素含量高于对照,而无机态硼酸处理各部位元素含量则比有机态山梨醇—硼处理高。缺硼易导致叶片中糖类物质的积累,有机态山梨醇—硼比无机态硼酸能更有效地促进叶片中多糖物质的转运,有机态山梨醇—硼处理可溶性糖含量比对照和无机态硼酸处理分别降低26.3%和11.8%,淀粉含量分别降低43.5%和26.1%。在提高枳橙砧木叶片抗逆能力方面,有机态山梨醇—硼效果优于无机态硼酸,两种硼类型处理叶片中脯氨酸和伤害率均显著低于对照,有机态山梨醇—硼和无机态硼酸分别降低了20.6%和19.6%,有机态山梨醇—硼和无机态硼酸处理伤害率降低了13.3%和16.5%,有机态山梨醇—硼处理叶片中丙二醛含量显著低于无机态硼酸处理19.4%。有机态硼对改善枳橙砧木根系的生长发育的作用效果优于无机态硼酸;能有效降低叶片中碳水化合物的含量,有利于光合作用产物顺利转移;而在减少叶片有害物质的积累、保护质膜方面,有机态与无机态硼有同样的效果。