连续施肥20年后棕壤团聚体分布和碳储量变化

利用两种不同分离方法(干筛法与湿筛法)对耕作施肥20年后棕壤的团聚体组成、团聚体有机碳含量以及有机碳储量进行了研究.结果表明:棕壤团聚体以0.25～1mm团聚体为主.与长期不施肥比较,除0.25～1mm粒级外长期施用氮磷化肥使风干团聚体和水稳性团聚体巾较大团聚体和微团聚体数量下降,降低了各级风干团聚体中有机碳积累,增了了水稳性团聚体中有机碳积累;长期施用有机肥较大团聚体和微团聚体数量增加及其相连的有机碳含量和储量均增加;长期有机无机肥配施大团聚体数量下降,微团聚体数量增加,有机碳含量均增加,大团聚体碳库储量下降,微团聚体碳库储量增加.由此可见长期施有机肥土壤结构改善,固C潜力增加.长期高量有机肥与无机肥配施可能有利于土壤固碳,但不利于作物生长.     

青海省东部山区旱作农田土壤团聚体特征研究

比较了青海省东部山区垂直梯度分布的三种旱作农田土壤(黑钙土、栗钙土、灰钙土),在0~60 cm土层的不同粒级土壤风干团聚体和水稳性团聚体含量间的差异,并结合其它土壤质量指标(有机质、粘粒)对不同土壤结构和抗侵蚀能力进行了综合评价。结果表明,>0.25mm风干团聚体、>0.25mm水稳性团聚体含量和土壤有机质含量与土壤类型间有密切关系。均表现为黑钙土>栗钙土>灰钙土。黑钙土和栗钙土的土壤有机质含量与>0.25mm水稳性团聚体间存在显著正相关关系(P<0.05),灰钙土则无明显相关性;三种土壤粘粒含量与>0.25mm风干团聚体和0.25mm水稳性团聚体含量间无明显相关性。各项指标综合比较,三种土壤抗侵蚀能力大小为:黑钙土>栗钙土>灰钙土。     

不同施肥处理对棕壤几个肥力指标的影响

23年定位试验结果表明:土壤有机碳、全氮和碱解氮、生物氮量以:高量有机肥区>低量有机肥区>化肥区>对照。土壤C/N基本维持在11~16之间。单施化肥处理土壤微生物碳量降低,Kos值高于其它施化肥处理,有机无机肥配合施用,结合态腐殖质含量明显下降,松结态/重组腐殖质的比值和松/紧比值也有所降低。有机无机配施各处理土壤微生物碳量,以及土壤松结态、稳结态、紧结态腐殖质的含量显著升高,提高松结态/重组腐殖质和松/紧的比值;不同用量的施有机肥处理土壤微生物碳量与对照相比差异不显著,Kos值下降,其他指标均升高。     

土地利用方式对红壤和黄壤颗粒有机碳和碳黑积累的影响

颗粒有机碳和碳黑是土壤中两类性质不同的碳库,它们的数量可反映土壤有机质的稳定性。结果表明,浙江省红壤和黄壤中这两类碳库有很大的变化,并与土地利用方式存在联系。颗粒有机碳的数量及其占总有机碳的比例:林地>茶园>旱地;而碳黑占总有机碳的比例一般是:旱地、茶园>次生林地>原生林地。颗粒有机碳是土壤碳库的易变组分,易受利用方式改变而变化,颗粒有机碳占总有机碳的比例随土壤有机质的积累而增加。相同土地利用方式土壤中碳黑数量与粘粒呈正比。土壤中>1 mm水稳定性团聚体与颗粒有机碳含量相关,而土壤<0.25 mm团聚体与碳黑含量相关。     

长期施肥对褐土有机无机复合性状演变及其与肥力关系的影响

通过8年长期定位试验,研究了不同施肥方式对褐土有机无机复合状况及腐殖质结合形态的影响。结果表明,长期不施肥使土壤有机碳、重组有机碳、原土复合量、松结态和紧结态有机碳含量明显下降,松/紧值降低,原土复合度上升;长期单施常量NPK化肥有同样的趋势;长期单施增量NPK化肥可大体保持土壤肥力水平不下降,但成本较高;采用有机肥(物)料配施常量NPK化肥,可明显提高土壤有机碳、重组有机碳含量和原土复合量以及土壤松、稳、紧各级结合态有机碳含量,增加松结态占重组有机碳比率,提高松/紧值,增强土壤调控能力。土壤有机无机复合状况及腐殖质结合形态是评价褐土培肥效果和标志土壤肥力演变的重要指标。     

长期施肥对棕壤有机碳及各组分的影响

本文通过棕壤长期定位施肥试验,研究了玉米-玉米-大豆轮作条件下不同施肥处理土壤有机碳及其不同密度组分的变化及其影响闪素.结果表明:经过27年的长期不同施肥,土壤有机碳含量有了明显变化,总的变化趋势是:高量有机肥区(12.30g kg-1)>低量有机肥区(11.41g k-1)>化肥区(9.95g kg-1)>1979年(试验前9.03g kg-1)>对照处理(8.23g kg-1),尤其以高量有机肥配施化肥处理的有机碳水平最高,氮磷钾配合施用有机碳水平要高于其它单施化肥处理;长期施肥可以显著提高土壤中轻组部分含量和轻组有机碳含量,不同施肥处理间差异显著.单施化肥处理,特别是氮磷钾配合施用,轻组部分数量和轻组有机碳含量高于无肥处理和试验前土壤.有机无机肥配合施用轻组有机碳含量明显高于单施化肥处理.施用不同肥料均可以提高土壤重组有机碳含量,有机无机肥配施效果明显.     

岩溶山区植被破坏前后土壤团聚体分形特征研究

土壤结构性是影响土壤肥力的一个重要因素。本文运用分形模型对不同植被类型土壤水稳性团聚体进行了研究,探讨了分形维数与土壤肥力的关系。结果表明:土壤团聚体粒径分布的分形维数与水稳性团聚体含量之间存在呈显著线性回归关系,林地和不同开垦年限农地土壤的物理性质随土壤团聚体的分形维数变化而变化,即分形维数越小,>0.25mm水稳性团聚体含量越高,土壤容重越小,总孔度大,毛管孔隙和通气孔隙占总孔隙的比例大,自然含水量和田间持水量相应较高;有机质、全N、碱解N与分形维数呈极显著的负相关,分形模型为土壤肥力研究提供新方法。上述结果在一定程度表明,植被遭到破坏、不合理的人为开垦,是土壤退化和生态环境恶化的主要原因。     

不同施肥处理对棕壤腐殖酸组成和性质的影响

23年定位试验结果表明:施用有机肥可提高土壤腐殖酸含量, HA/FA升高,土壤胡敏酸的羧基/酚羟基比升高,E4 /E6 值较高。施化肥处理HA/FA下降,羧基/酚羟基比下降,E4 /E6 值下降。有机无机配施HA/FA下降较明显,其它指标介于有机肥和化肥之间。有机无机配施处理土壤活性胡敏酸平均含量高于有机肥和化肥。松结态腐殖酸占总腐殖酸的10% ~20%。胡敏酸占3% ~8%,富里酸占6% ~11%。施肥可显著降低松结态腐殖酸、胡敏酸和富里酸的比例。化肥的施用可促进紧结态的腐殖酸向松结态的转化,加速地力的消耗。有机无机配施处理可较大幅度地提高松结态胡敏酸的比例,而减低松结态富里酸的比例。     

黄土丘陵区植被恢复中土壤团聚体演变及其与土壤性质的关系

在野外调查与室内分析的基础上,对黄土丘陵区典型草原带植被自然恢复过程中土壤水稳性团聚体及其主要影响因子的演变规律进行了研究,并用通径分析法对二者的相互关系进行了定量分析。结果表明:随着植被演替,土壤中大粒级水稳性团聚体含量逐步增加,>5mm粒级团聚体在土壤团粒结构中占主导地位,含量占50%~80%。其次是5~2mm含量,占到10%~15%左右。不同群落之间>5mm团聚体含量在2m深土层加权平均值比较结果为:大羽茅群落>长芒草群落>铁杆蒿群落>百里香群落>香茅草群落,其中大羽茅群落是香茅草群落>5mm团聚体含量的近5倍,长芒草群落也是香茅草群落的近4倍左右。主要影响因子对团聚体直接作用系数的大小为:物理性粘粒>有机质>全氮>全铁>阳离子交换量>全量铝>游离铁>全磷>pH值>粘粒>碳酸钙。物理性粘粒、有机质和全氮是影响水稳性团聚体含量的主要因子。     

沈阳市郊玉米连作土壤有机质组成及其对土壤结构的影响

通过对沈阳市郊玉米连作土壤的有机质、结构情况以及二者相互关系研究表明,土壤中有机质大致范围在16.31g kg-1～23.72g kg-1,腐殖质大致范围在15.17g kg-1～21.49g kg-1,非腐殖质大致范围在1.14g kg-1～2.59g kg-1;在腐殖质各组分中,胡敏素的含量最高,约占腐殖质总量的58.93%～66.34%,胡敏酸约占16.26%～22.87%,富里酸约占16.82%～18.20%瑚富比约在0.95～1.32之间;干筛处理后>0.25mm的土壤团聚体占到80%以上,其中以>2mm团聚体为主,湿筛处理后>0.25mm的土壤团聚体仅占20%左右,其中0.25～0.5mm团聚体为主,水稳性系数在17.33%～35.67%.对有机质及其各组分与土壤各级团聚体做的相关分析结果表明,有机质与0.25～5mm粒径组的团聚体呈显著相关,与>5mm团聚体不相关,且胡敏酸主要影响1～5mm大团聚体的形成.     

Trust,empathy, social identity,and contribution of knowledge within patient online communities

People are increasingly utilising patient online communities (POC) to seek useful health information and empathetic support. Success of POC is reliant upon the willingness of members to contribute useful information and knowledge. Few studies have examined the influence of interpersonal bonds between members on members’ contribution of information and knowledge within the context of POC. We investigated how trust, social identity, and empathy influence members’ willingness to contribute knowledge to POC. Results indicated that trust and social identity within POC positively influenced the development of empathy. Empathy in turn exerted a positive influence on willingness to contribute personal knowledge and experience. Social identity also directly influenced members’ willingness to contribute knowledge. The findings highlight the importance of trust, empathy, and a sense of group cohesiveness within online health settings in motivating members to contribute knowledge and support to other participants in POC.     

Particulate organic carbon in the surface waters of the North Atlantic: spatial and temporal variability based on satellite ocean colour

We have examined the 16-year time series of particulate organic carbon (POC) concentration in the surface waters of the North Atlantic derived from SeaWiFS and MODIS-Aqua data. The annual mean POC concentrations are the highest in the northern North Atlantic, reaching 120 mg m^?3. Moving south, the mean annual POC concentrations decrease to minimum values of about 30 mg m^?3 at around 30° N and increase in the equatorial region to about 70 mg m^?3. The seasonal amplitude of POC concentration in the northern North Atlantic region is larger when compared to other regions. The annual mean surface POC concentrations in the entire North Atlantic basin show a statistically significant trend with an average decrease of 0.79 mg m^?3 year^?1. Regionally averaged 16-year mean POC biomass integrated over the optical depth, euphotic depth, and mixed-layer depth is estimated at about 1.27, 4.34, and 4.59 g m^?2, respectively. Even larger biomass of 6.26 g m^?2 is estimated if one chooses to use in the calculations the greatest from the daily values of the estimates listed above at each pixel of the satellite data. Comparisons of POC biomass with primary productivity allowed us to assess temporal and spatial patterns of POC losses.     

POC net,a subclass of Petri nets,and its application to timed Petri nets

Liveness is one of the most important properties of the Petri net analysis. This property is concerned with a capability for firing of transitions. On the other hand, place-liveness is another notion related to liveness, which is concerned with a capability for having tokens in places. Concerning these liveness and place-liveness problems, this paper suggests a new subclass of Petri net, ‘POC nets’, as a superclass of AC nets and DC nets. For this subclass, the equivalence between liveness and place-liveness is shown and a sufficient condition for liveness for this POC net is derived. Then the results are extended to liveness problem of timed Petri nets which have transitions with finite firing durations and the earliest firing rule. Although liveness of a (non-timed) Petri net is neither necessary nor sufficient condition for liveness of a timed Petri net, it is shown that liveness is preserved if the net has POC structure. Furthermore, it is pointed out that if a POC net satisfies some additional condition, Petri net liveness is equivalent to timed Petri net liveness. Finally, it is shown that liveness of timed POC nets with TC structure and the earliest firing rule is decidable with deterministic polynomial time complexity.     

Ocean colour estimates of particulate organic carbon reservoirs in the global ocean – revisited

We have examined 16 years (1998–2013) of particulate organic carbon (POC) concentrations derived from remotely sensed ocean colour. POC concentrations vary spatially from more than 300 mg m^?3 in the northern North Atlantic in summer to about 20 mg m^?3 in the oligotrophic South Pacific (16-year global average = 67.7 mg m^?3). The seasonal variability is weak at lower latitudes and stronger at higher latitudes. The annual mean surface POC concentrations show statistically significant regional trends (p < 0.05, 95% confidence level), and are decreasing in the North Atlantic and North Pacific and increasing in the South Pacific and Southern Oceans. The global trend is not significant. The 16-year global average water column POC biomass integrated over the euphotic depth, the mixed layer depth, or based on a combination of these two depths is estimated to be about 3.97, 3.92, and 5.03 g m^?2, respectively. Water column integrated biomass shows different spatial and seasonal patterns than the surface POC concentrations, and is increasing in many ocean regions. Globally averaged POC biomass is also increasing. At the same time ocean colour data indicate a decrease in the global oceanic productivity (PP). This means that there is a negative trend in the ratio of PP to POC biomass almost everywhere in the ocean. Such a decrease could indicate that the biological pump in the ocean is weakening, but longer time series of the ocean colour data are needed to confirm this observation.     

Comparison of MERIS,MODIS, SeaWiFS-derived particulate organic carbon,and in situ measurements in the South China Sea

Medium Resolution Imaging Spectrometer (MERIS), Moderate Resolution Imaging Spectroradiometer (MODIS), and Sea-viewing Wide Field-of-view Sensor (SeaWiFS) particulate organic carbon (POC) concentration products for the South China Sea (SCS) were compared with in situ data collected from October 2007 to December 2013. Spectral remote-sensing reflectance (R_rs,λ) was also measured to help understand POC algorithm performance. A strict comparison of the satellite-derived POC and in situ measurements showed that MERIS, MODIS, and SeaWiFS underestimated in situ values by 29.1, 11.7, and 31.5%, respectively. Similar results were obtained with a relaxed matching criterion. Through analysis of the causes of product uncertainty, the results suggested that satellite retrieval of R_rs,λ and the global POC algorithm both have an impact on inversion accuracy. However, the formulation of the POC algorithm seems to be more critical. When a regional algorithm was developed to obtain satellite-derived POC, both the strict and relaxed comparison results showed significant improvement, but for coastal waters, both algorithms had larger errors. Other factors affecting the comparison are also discussed.     

Multispectral remote-sensing algorithms for particulate organic carbon (POC): The Gulf of Mexico

To greatly increase the spatial and temporal resolution for studying carbon dynamics in the marine environment, we have developed remote-sensing algorithms for particulate organic carbon (POC) by matching in situ POC measurements in the Gulf of Mexico with matching SeaWiFS remote-sensing reflectance. Data on total particulate matter (PM) as well as POC collected during nine cruises in spring, summer and early winter from 1997-2000 as part of the Northeastern Gulf of Mexico (NEGOM) study were used to test algorithms across a range of environments from low %POC coastal waters to high %POC open-ocean waters. Finding that the remote-sensing reflectance clearly exhibited a peak shift from blue-to-green wavelengths with increasing POC concentration, we developed a Maximum Normalized Difference Carbon Index (MNDCI) algorithm which uses the maximum band ratio of all available blue-to-green wavelengths, and provides a very robust estimate over a wide range of POC and PM concentrations (R² = 0.99, N = 58). The algorithm can be extrapolated throughout the region of shipboard sampling for more detailed coverage and analysis.     

Using big data analytics to extract disease surveillance information from point of care diagnostic machines

This paper explains a novel approach for knowledge discovery from data generated by Point of Care (POC) devices. A very important element of this type of knowledge extraction is that the POC generated data would never be identifiable, thereby protecting the rights and the anonymity of the individual, whilst still allowing for vital population-level evidence to be obtained. This paper also reveals a real-world implementation of the novel approach in a big data analytics system. Using Internet of Things (IoT) enabled POC devices and the big data analytics system, the data can be collected, stored, and analyzed in batch and real-time modes to provide a detailed picture of a healthcare system as well to identify high-risk populations and their locations. In addition, the system offers benefits to national health authorities in forms of optimized resource allocation (from allocating consumables to finding the best location for new labs) thus supports efficient and timely decision-making processes.     

Transport of video over partial order connections

A Partial Order and partial reliable Connection (POC) is an end-to-end transport connection authorized to deliver objects in an order that can differ from the transmitted one. Such a connection is also authorized to lose some objects. The POC concept is motivated by the fact that heterogeneous best-effort networks such as Internet are plagued by unordered delivery of packets and losses, which tax the performances of current applications and protocols. It has been shown, in several research works, that out of order delivery is able to alleviate (with respect to CO service) the use of end systems' communication resources. In this paper, the efficiency of out-of-sequence delivery on MPEG video streams processing is studied. Firstly, the transport constraints (in terms of order and reliability) that can be relaxed by MPEG video decoders, for improving video transport, are detailed. Then, we analyze the performance gain induced by this approach in terms of blocking times and recovered errors. We demonstrate that POC connections fill not only the conceptual gap between TCP and UDP but also provide real performance improvements for the transport of multimedia streams such MPEG video.     

Structural synthesis for a lower-mobility parallel kinematic machine with swivel hinges

In this paper, a novel parallel kinematic machine is proposed. Its active platform (main supporting spindle) is manufactured with swivel hinges, that is, we substitute the spherical hinge with a swivel hinge. The active platform is also divided into several layers, which alters the characteristics of a single-layer-platform parallel machine. This paper applies a comprehensive structural approach based on position and orientation characteristics (POC). Each single open chain (SOC) is studied independently from the whole mechanism; we also analyse the POC of each kinematic pair. By the method of union, we obtain the POC matrix of the output motion of each link. Based on the verification of the 5-DOF (degree of freedom) parallel kinematic machine, we construct 3-DOF and 4-DOF parallel mechanisms with swivel hinges through the combination and union of different chains, and develop them into a series.     

Within-day variability of particulate organic carbon and remote-sensing reflectance during a bloom of Phaeocystis antarctica in the Ross Sea,Antarctica

We examined the within-day variability in seawater optical properties and biogeochemical constituents for a high-latitude location in the Ross Sea, Antarctica, during development of the annual spring phytoplankton bloom. Measurements of particulate organic carbon concentration (POC), chlorophyll-a concentration (Chl), and particle size distribution were conducted at 4–6 hour intervals in parallel with determinations of the spectral absorption and attenuation coefficients of particles, and the spectral remote-sensing reflectance of the surface ocean (R_rs). Surface POC and Chl exhibited more than a twofold variation throughout the day in the continuous presence of natural light. A minimum occurred near local noon coinciding with peak solar irradiance, a maximum in the evening, and a subsequent decrease throughout the night-time hours. These patterns were accompanied by large changes in the magnitude and spectral shape of R_rs, including the blue-to-green spectral band ratios used in ocean colour algorithms for estimating POC and Chl. The variability in R_rs could not be explained by changes in solar zenith angle, but was consistent with observations of within-day variations in spectral absorption and scattering by particles which were influenced by changes in the particle concentration and size distribution. The accuracy of an empirical ocean colour algorithm for estimating POC from R_rs was unaffected by within-day variability, implying that short-term variations in surface POC can be potentially monitored by multiple within-day measurements of R_rs, through means of in situ and remote sensing observations if available. Our findings also suggest that within-day changes in POC can be significant compared with the variability observed on meso-scale spatial scales, potentially confounding the interpretation of remote-sensing data obtained from temporal and spatial compositing of images measured at different times within a single day.