典型干旱荒漠绿洲区耕层土壤养分空间变异

[目的]对干旱荒漠绿洲区耕层土壤养分空间特征进行研究,为绿洲土地资源的合理开发利用,以及土壤施肥方案的科学制定提供理论依据。[方法]基于GIS与地统计学方法对新疆维吾尔自治区精河县耕层土壤养分空间变异特征及影响因素进行分析。[结果](1)研究区内有效磷的空间变异性较强(变异系数Cv为67.45%),速效钾的空间变异性最弱(Cv为40.76%)。(2)有机质、碱解氮和有效磷存在较强的空间自相关性,其空间变异主要由地形、土壤质地和土壤类型等结构性因素所引起;速效钾为中等程度的空间自相关性,其空间变异不仅受结构性因素的影响,还与随机因素(即施肥和种植结构)有关。(3)各土壤养分元素在绿洲内部具有较高含量的片状和斑块状分布,而在绿洲外缘,其含量相对较低,且呈大面积的片状分布。[结论]精河县耕层土壤养分总体呈现出有机肥含量缺乏,磷钾肥相对丰富的特点。     

Sampling saproxylic beetles: lessons from a 10-year monitoring study

We sampled saproxylic beetles using trunk window traps in two birch-dominated forests in Finland during 1990-1999. The sampling scheme, 10 traps attached to living fruiting bodies of Fomes fomentarius growing on dead birches, remained unchanged in both forests throughout the study period. Beetles belonging to 32 selected families were identified every year, whereas all species were identified during the last 4 years. Total number of identified individuals was 40,294 and number of species 583, of which 258 were saproxylic (dependent on dead wood). Species richness of rare and threatened saproxylic beetles in the samples varied a lot between the years and did not fluctuate synchronously between the forests. Variation between years was smaller when all saproxylic species were pooled together and some abundant species fluctuated synchronously in the two forests. Similarity indices and DCA-ordination did not generally suggest decreasing similarity between samples with increasing temporal isolation. Incidence-based similarities of common saproxylic species within and between forests and years were high (means 0.7-0.8), whereas those of rare saproxylics were roughly 50% smaller and much more variable. More than 75% of the common saproxylic species found during the entire 10-year period were detected already after 3 years of sampling but accumulation of rare and threatened species was much slower. Our results suggest that: (1) occurrence of rare and threatened species in samples is much less predictable than that of common species and, e.g. reserve selection based on rarities should be made cautiously; (2) estimation of total number of threatened species in a forest is very difficult, because such species accumulate slowly in the samples; (3) samples from different years can be comparable in certain cases.     

华北半干旱区土壤养分和植被特征的小尺度空间异质性研究

A field experiment was conducted at Kezuohouqi County, Inner Mongolia Autonomous Region of China, which was located on the southeastern edge of the Horqin Sandy Land, to study the spatial variability of soil nutrients for a small-scale, nutrient-poor, sandy site in a semi-arid region of northern China; to investigate whether or not there were ＂islands of fertility＂ at the experimental site; and to determine the key nutrient elements that sustained ecosystem stability. Results obtained from geostatistical analysis indicated that the spatial distribution pattern of soil total nitrogen （STN） was far different from those of soil organic matter （SOM）, total phosphorus （STP）, and total potassium （STK）. Compared to SOM, STP, and STK, STN had a lower structural heterogeneity ratio and a longer range, while other elements were all similar. In addition, STN had an isotropic spatial structure, whereas the others had an anisotropic spatial structure. The spatial structure patterns of herbage species, cover, and height also differed, indicating that spatial variability was subjected to different ecological factors. Differences in the spatial variability patterns among soil nutrients and vegetation properties showed that soil nutrients for a small-scale were not the primary limiting factors that influenced herbage spatial distribution patterns. Incorporating spatial distribution patterns of tree species, namely, Pinus sylvestris var. mongolica Litv. and shrub Lespedeza bicolor Turcz. in a research plot and using fractal dimension, SOM, STP, and STK were shown to contribute to the ＂islands of fertility＂ phenomenon, however STN was not, possibly meaning that nitrogen was a key limiting element. Therefore, during restoration of similar ecosystems more attention should be given to soil nitrogen.     

渭干河灌区土壤水盐空间变异性研究

根据直线和网格布点法布置的150个取样点的测定资料,应用经典统计分析方法．探讨了垦荒地土壤电导率和重量含水率的空间变异性,并给出了不同置信水平及精度要求下两者的合理取样数目。应用自相关和半方差分析方法进一步讨论了土壤电导率及土壤重量含水率的空间变异结构和半方差函数模型。结果表明,垦荒地土壤电导率和重量含水率的空间变异都是有结构的,土壤电导率的最大相关域为9m,土壤重量含水率的最大相关域为6．4m。两者的半方差函数可用有基台的线型模型拟合。     

Neural network ensemble residual kriging application for spatial variability of soil properties

High quality, agricultural nutrient distribution maps are necessary for precision management, but depend on initial soil sample analyses and interpolation techniques. To examine the methodologies for and explore the capability of interpolating soil properties based on neural network ensemble residual kriging, a silage field at Hayes, Northern Ireland, UK, was selected for this study with all samples being split into independent training and validation data sets. The training data set, comprised of five soil properties: soil pH, soil available P, soil available K, soil available Mg and soil available S,was modeled for spatial variability using 1) neural network ensemble residual kriging, 2) neural network ensemble and 3) kriging with their accuracies being estimated by means of the validation data sets. Ordinary kriging of the residuals provided accurate local estimates, while final estimates were produced as a sum of the artificial neural network (ANN) ensemble estimates and the ordinary kriging estimates of the residuals. Compared to kriging and neural network ensemble,the neural network ensemble residual kriging achieved better or similar accuracy for predicting and estimating contour maps. Thus, the results demonstrated that ANN ensemble residual kriging was an efficient alternative to the conventional geo-statistical models that were usually used for interpolation of a data set in the soil science area.     

基于GIS和Kriging的蓝田县土壤养分空间变异特征研究

以陕西省蓝田县北部黄土台塬区为例,采用GPS定位,测定了2007年1024个采样点的土壤有机质、碱解氮、速效磷、速效钾等含量,通过经典统计学方法对研究区的土壤养分变异特征进行了全局描述,利用GIS和Kriging插值方法,在ArcGIS 9.2下的Geostatistical analyst模块研究了这些土壤养分的空间...     

洪雅县退耕竹林碳储量时空格局

建立退耕还林重点示范县洪雅县竹林碳储量多元线性回归遥感模型,基于碳储量遥感模型估算出四川省洪雅县退耕还林以前(1994年)、退耕还林后第4年(2004年)和退耕还林后第7年(2007年)的竹林碳储量,利用地理信息系统软件对竹林碳储量的时空格局变化进行定量分析。结果表明:13年间(1994—2007年)洪雅县竹林碳储量和面积均呈现逐年上升趋势,前期(1994—2004年)增速大于后期(2004—2007年);竹林碳储量和面积分布规律相似,都呈现出向低海拔、平缓坡和各坡向发展的趋势,其中2004年>25°坡度区域竹林碳储量和面积变化最明显,2004年>25°坡度区域竹林碳储量增加量占总增加量的79.53%,竹林面积增加量占总增加量的78.18%,表明退耕还林工程的实施是区域竹林碳储量与面积增加的驱动力;竹林碳密度呈现先降后升总体略微降低的特点,1994年碳密度最高为33.76tC·hm-2,2004年下降为33.25tC·hm-2,2007年又恢复到33.67tC·hm-2;利用克里金插值(Kriging)对模型进行优化可在一定程度上提高预测精度。     

基于地统计学和GIS的太湖典型地区土壤属性制图研究——以土壤全氮制图为例

在地理信息系统(GIS)支持下，运用地统计学方法对太湖典型地区耕层土壤全氮含量的空间变异特征进行分析，探讨了适用于研究区域土壤全氮制图的最佳邻域，并在此基础上利用块段克立格(Block Kriging)法绘制了土壤全氮含量空间分布图。结果表明，土壤全氮的空间变异性在40km步长变化域上表现为明显的各向同性，超出这个范围，土壤全氮空间变异的各向异性明显增强，以40km步长变化域上土壤全氮的空间结构特征作为Kriging插值依据有助于提高制图精度。制图结果表明，研究区域土壤全氮含量在江阴和宜兴两市境内普遍较高，锡山和武进两市相对较低；且高值斑块区主要分布在地势低洼的圩田区，这是人为施肥和土壤特性共同影响的结果。Kriging估值标准差分布图可为评价和提高制图精度提供十分有用信息。     

RAPD and ISSR molecular markers in <Emphasis Type="Italic">Olea europaea</Emphasis> L.: Genetic variability and molecular cultivar identification

Thirty Portuguese and eight foreign olive (Olea europaea L.) cultivars were screened using Random Amplified Polymorphic DNA (RAPD) and Inter-Simple Sequence Repeat (ISSR) markers. Twenty RAPD primers amplified 301 reproducible bands of which 262 were polymorphic; and 17 ISSR primers amplified 204 bands of which 180 were polymorphic. The percentage of polymorphic bands detected by ISSR and RAPD was similar (88 and 87%, respectively). The genetic variability observed was similar in the Portuguese and foreign olive cultivars. Seven ISSR and 12 RAPD primers were able to distinguish individually all 38 olive cultivars. Twenty specific molecular markers are now available to be converted into Sequence Characterised Amplified Region (SCAR) markers. Relationships among Portuguese and foreign cultivars is discussed.     

Soil macroinvertebrate fauna of a Mediterranean arid system: Composition and temporal changes in the assemblage

Temporal variability is a key factor to understand the structure of belowground communities. Seasonal and annual variations are especially relevant in unpredictable desert ecosystems, where macroinvertebrates are poorly known, despite constituting an important group of soil organisms. In the present study, we analyse the composition and temporal (seasonal and annual) variations of soil macroinvertebrates in an arid area of southern Spain. During two years, macroinvertebrates were sampled in litter and belowground levels by means of soil cores. Results show that the assemblage was dominated by arthropods, especially Formicidae and Coleoptera. The assemblage differed between litter and belowground levels. In litter, detritivores dominated the community, while belowground fauna showed a similar proportion of detritivores and herbivores and a low percentage of predators. Litter and belowground assemblages showed seasonal variations in richness, abundance, biomass and composition, although variations were more marked in litter than belowground. Patterns of seasonal variation also differed between the two study years for both litter and belowground invertebrates. The seasonal and annual variability of the assemblage has potentially important implications for community dynamics in the study system, since the changes in species composition and trophic structure of soil invertebrate assemblages may affect species interactions and food web dynamics over time. Therefore, integrating temporal variability is likely to be crucial to understand soil community dynamics and food webs, especially in heterogeneous, variable systems as deserts.