施肥对新垦绿洲风沙土肥力及碳积累的影响

利用2005年安排在临泽边缘绿洲沙地农田的长期施肥定位试验,研究不同用量有机肥、化肥、有机肥和化肥配施对绿洲沙地土壤肥力及有机碳积累的影响。试验包括高量有机肥单施(M3),氮磷化肥单施(NP3),低、中、高量氮磷钾化肥单施(NPK1,NPK2,NPK3),及低、中、高量氮磷钾化肥配施高、中、低量有机肥9个处理(NPK1M3,NPK2M2,NPK3M1),测定分析10年后不同施肥处理耕层(0~20 cm)土壤物理化学性状特征及有机碳动态。结果表明:施有机肥及有机无机配施处理较单施化肥处理容重下降0.13 g·cm^-3,田间持水量提高6.7%,单施有机肥、有机无机配施较单施化肥,土壤有机碳(SOC)和全氮含量分别提高64.8%、36.3%和64.9%、49.5%。高量施用氮磷化肥和氮磷钾化肥处理全磷含量最高,有机肥及有机无机配施较单施化肥有效氮含量显著增加,有机无机配施及高量施用磷肥土壤有效磷积累明显,高量施用有机肥能显著提升有效钾含量。连续施肥处理10年后,SOC含量提高了1.68~2.84倍,土壤全氮、全磷、碱解氮及有效磷均有一定程度的提高,但单施化肥及有机肥与氮磷化肥配施有效钾含量下降。SOC的积累速率单施化肥、有机无机配施、单施有机肥处理分别为0.27、0.59,0.87 g·kg^-1·a^-1。增施有机肥、适量减少化肥投入、氮磷钾化肥的平衡施用是绿洲沙地农田土壤肥力持续提升的施肥管理对策。     

滇西北亚高山针叶林、硬叶栎类林的树种多样性

在滇西北香格里拉地区,以长苞冷杉(Abiesgeorgei)林、丽江云杉(Picealikiangensis)林作为亚高山针叶林的代表,以川滇高山栎(Quercusaquifolioides)林作为硬叶栎类林的代表,分别选择了6块样地,采用Shannon-Wiener多样性指数(H)、Simpson多样性指数的倒数(D')、Pielou均匀度指数(JH、JD)分别测定其树种多样性,并进行了比较研究。结果表明,三个森林类型的Shannon Wiener指数、Simpson指数的倒数、物种丰富度的顺序均为:长苞冷杉林>川滇高山栎林>丽江云杉林;而前两类森林的Pielou均匀度指数差异不大,但都高于丽江云杉林的均匀度指数值。滇西北的川滇高山栎具有很强的萌生能力。人工种植的亚高山针叶林的树种多样性较原始林低,需要较长时间的恢复过程。亚高山针叶林的存在极大地丰富了云南省的树种多样性,使云南植被的垂直地带性得到了充分体现。     

某电站坝区玄武岩承压水特征及其对建坝影响分析

某电站玄武岩坝区地质条件复杂,研究表明坝区玄武岩裂隙含水系统具有不均匀性、各向异性和多级次性特点。本文结合玄武岩裂隙特征和渗透系数确定方法,给出了评价岩体渗透性的尺度。勘探揭露河床右侧及右岸岸坡发育承压水,据埋藏条件和水化学成分可分为上部承压水和下部承压水,分别对其分布范围特征;承压水水位、流量及动态特征;承压水水化学特征;贮存环境特征;补给、径流、排泄特征等方面进行阐述,分析了承压水对建坝影响,根据分析成果采取针对性处理措施,取得了较好的效果。     

A density-based approach for detecting network-constrained clusters in spatial point events

Existing spatial clustering methods primarily focus on points distributed in planar space. However, occurrence locations and background processes of most human mobility events within cities are constrained by the road network space. Here we describe a density-based clustering approach for objectively detecting clusters in network-constrained point events. First, the network-constrained Delaunay triangulation is constructed to facilitate the measurement of network distances between points. Then, a combination of network kernel density estimation and potential entropy is executed to determine the optimal neighbourhood size. Furthermore, all network-constrained events are tested under a null hypothesis to statistically identify core points with significantly high densities. Finally, spatial clusters can be formed by expanding from the identified core points. Experimental comparisons performed on the origin and destination points of taxis in Beijing demonstrate that the proposed method can ascertain network-constrained clusters precisely and significantly. The resulting time-dependent patterns of clusters will be informative for taxi route selections in the future.     

Size and spatial distribution of loess slides on the Chinese Loess Plateau

ABSTRACT

The size and spatial distribution of loess slides are important for estimating the yield of eroded materials and determining the landslide risk. While previous studies have investigated landslide size distributions, the spatial distribution pattern of landslides at different spatial scales is poorly understood. The results indicate that the loess slide distribution exhibits a power-law scaling across a range of the size distribution. The mean landslide size and size distribution in the different geomorphic types are different. The double Pareto and inverse gamma functions can coincide well with the empirical probability distribution of the loess slide areas and can quantitatively reveal the rollover location, maximum probability, and scaling exponents. The frequency of loess slides increases with mean monthly precipitation. Moreover, point distance analysis showed that > 80% of landslides are located < 3 km from other loess slides. We found that the loess slides at the two study sites (Zhidan and Luochuan County) in northern Shaanxi Province, China show a significant clustered distribution. Furthermore, analysis results of the correlated fractal dimension show that the landslides exhibit a dispersed distribution at smaller spatial scales and a clustered distribution at larger spatial scales.     

Cloning and phylogenetic analysis of a fatty acid elongase gene from Nannochloropsis oculata CS179

Nannochloropsis oculata CS179, a unicellular marine microalga, is rich in long-chain polyunsaturated fatty acids (LCPUFAs). Elongase and desaturase play a key role in the biosynthesis of PUFAs. A new elongase gene, which encodes 322 amino acids, was identified via RT-PCR and 5′ and 3′ RACE. The sequence of the elongase gene was blast-searched in the NCBI GenBank and showed a similarity to those of the cryptosporidium. But the NJ-tree revealed that the N. oculata CS179 elongase clustered with those of the microalgae Phaeodactylum tricornutum, Ostreococcus tauri and Thalassiosira pseudonana.