Spatial structure of multispecies distributions in southern California, USA

Analysis of the spatial distribution of all species of conservation importance within a region is necessary to augment reserve selection strategies and habitat management in biodiversity conservation. In this study, we analyzed the spatial aggregation, spatial association, and vegetation types of point occurrence data collected from museum and herbaria records for rare, special concern, threatened, and endangered species of plants, reptiles, mammals, and birds in western Riverside County in southern California, USA. All taxa showed clumped distributions, with aggregation evident below 14 km for plants, 12 km for reptiles, 2 km for mammals, and 10 km for birds. In addition, all combinations of the different species groups showed high positive spatial association. The Santa Rosa Plateau exhibited the highest number of rare, special concern, threatened, and endangered species, and shrubland (coastal sage and chaparral) was the vegetation type inhabited by the most species. Local land use planning, zoning and reserve design should consider the spatial aggregation within and between species to determine the appropriate scale for conservation planning. The higher spatial association between species groups in this study may indicate interdependence between different species groups or shared habitat requirements. It is important to maintain diverse communities due to potential interdependence. The results of the study indicate that concentrating preservation efforts on areas with the highest number of species of concern and the restoration of native shrublands are the most appropriate actions for multiple species habitat conservation in this area.     

Influence of spatial root distribution,organic nitrogen mineralization and fertilizer application on soil interlayer ammonium

The amount of interlayer NH ₄ ⁺ -N and net mineralization of organic N were measured at periodic intervals, over a period of 10 months, in soil samples collected from a peach orchard which had been subjected to different rates of N fertilizer application. Two different groups of soil samples, designated sampling 1 and sampling 2 were collected. Soils of sampling 1 were collected from sites where the soil was heavily penetrated by tree roots and those of sampling 2 were collected from sites where the soil remained free from tree roots. In sampling 1, during the 10-month period, the concentration of interlayer NH ₄ ⁺ -N showed significant variations, while in sampling 2 no significant variation was found. In sampling 1 the amount of NH ₄ ⁺ -N released from the interlayers of the clay minerals were not influenced by the N fertilizer application rate. Changes in the interlayer NH ₄ ⁺ -N concentrations were related to variation in net N mineralization and immobilization rates as well as to plant uptake N. It is concluded that, in our experiment, the dynamics of interlayer NH ₄ ⁺ -N in soil were influenced by the spatial distribution of the tree roots and organic N mineralization, while N application influenced seasonal variation but not the total interlayer NH ₄ ⁺ -N released during the experiment.     

Variability in soils and vegetation associated with harvester ant (Pogonomyrmex rugosus) nests on a Chihuahuan Desert watershed

The effects of harvester ant (Pogonomyrmex rugosus) nests on the density and cover of spring annual plants and on soil characteristics were measured at three locations characterized by different soils and dominant vegetation on a desert watershed. There were few differences in vegetation and soils associated with harvester ant nests at locations at the base of the watershed where brief periods of flooding and sediment deposition occur at periodic intervals. At mid-slope locations, there were significant increases in total nitrogen, inorganic phosphorus, and cover (biomass) of four species of spring annuals at the edges of nest disks when compared with reference sites. The spring annuals that exhibited increased cover were species that increase biomass as a function of available nitrogen. At a clay-loam, Scleropogon-Hilaria, grassland site, there were significant reductions in the concentrations of Ca²⁺ and Mg²⁺, significant increases in nitrate and total nitrogen, but a significant increase in cover in only one species of annual plant. The data demonstrate that the effects of ants on soil properties and vegetation vary with site location and soil type.     

Identifying, understanding, and describing spatial processes in agricultural landscapes — four case studies

To evaluate the quality of the ecosystem and for making resources and land management decisions landscapes have to be assessed quantitatively. For a better understanding of landscape processes and their characterization, the analysis of the inherent variability is a major factor. Four case studies in which problems associated with landscape analysis are discussed. Spatial processes remain a main focus, as their analysis provides information on the relation between relevant state variables in agricultural landscapes. Variogram analysis showed that mineral soil nitrogen (N_min) sampled in a field at different scales, domains, and times is an instationary spatial process. Spatial association of grain yield, soil index and remotely sensed vegetation index may not be identifiable from kriged contour maps as local coincidence may be obscured behind classified areas. Crop yield in subsequent years and remotely sensed information are not related if a unique response is assumed. An alternative data stratification procedure is described here for the identification of different response functions in agricultural ecosystems. Processes of crop yield and underlying variables are described in autoregressive state-space models. This technique incorporates both deterministic and stochastic relations between different variables and is based on relative changes in space.     

The use of a water budget model and yield maps to characterize water availability in a landscape

Crop yield maps may contain substantial corollary information regarding the distribution of yield related soil properties across a landscape. One of these properties is water holding capacity (WHC). Since WHC is an important parameter for crop models and is also critical for crop yield, our objective was to determine if WHC could be estimated by matching simulated yield with yield map data. We collected soil cores for water retention measurements and recorded plant phenological stages from 60 plots on four transects over two growing seasons (1997 and 1998). Soil cores were also sampled on 40 other locations set out on a grid pattern. We utilized a simple water budget model that uses the relative transpiration ratio to calculate relative yield from available water in the soil profile. Rainfall, potential evapotranspiration and soil water holding capacity are input. An optimization program varies the WHC to produce a grain yield similar to the one from the yield map at a particular location. This analysis was carried out over several scales by averaging yields over 55 m×71 m, 27 m×35 m, and 11 m×14 m areas. Yield data from 2 years were used. Yields from the transects in both years were significantly related to measured WHC in the surface 0–10 cm of soil. The calculated stress indices from the water budget model and estimated available WHC calculated for the 1997 data were similar to those calculated for the 1998 data where data were aggregated in 27 by 35 m or larger blocks. The contour map of estimated WHC was similar to the map of measured WHC for some features though there were also some differences. Use of multiple years of yield data are required to give stable results for estimated water holding capacities.. This information could be used in a farm management plan by allowing a producer to classify a field into areas that are buffered against drought and areas more susceptible to drought.     

Body size, niche breadth, and ecologically scaled responses to habitat fragmentation: mammalian predators in an agricultural landscape

The ability to make a priori assessments of a species' response to fragmentation, based on its distribution in the landscape, would serve as a valuable conservation and management tool. During 1997-1999, we monitored 717 scent stations to examine seasonal use of forest patches, corridors, and crop fields by coyotes (Canis latrans), domestic cats (Felis catus), foxes (Vulpes vulpes and Urocyon cinereoargenteus), raccoons (Procyon lotor), striped skunks (Mephitis mephitis), opossums (Didelphis virginiana), and long-tailed weasels (Mustela frenata). For each species we developed landscape-based ecologically scaled landscape indices (ELSI), and we modeled species spatial distribution across three spatial scales (landscape-level, element-level, and local habitat-level). Our results suggest that these predators view landscape fragmentation at different spatial scales and demonstrate strong interspecific differences in their response to elements of the landscape. All species except coyotes and domestic cats avoided agricultural fields. In general, predator species that were more mobile (i.e. high ESLI for landscape connectivity; coyotes) were characterized by landscape- and element-based logistic models. In contrast, models including local habitat features generally were most appropriate for less mobile or more stenophagous predators (e.g. long-tailed weasels). Our analysis extends the application of the ESLI concept to species assemblages that do not appear to function as metapopulations, and it highlights the importance of examining spatial scale and species-specific responses to habitat fragmentation. We discuss the relevance of these findings for defining ecological landscapes, understanding predator-prey interactions at multiple spatial scales, and conserving predator and prey populations in fragmented landscapes.     

上海市区街道灰尘重金属污染研究

对上海市区街道灰尘重金属的分布特征、赋存形态及其生物有效性进行了研究,结果表明,市区街道灰尘中Pb、Cu、Ni和Zn的平均含量分别为264、182、86和673 mg kg-1,远高于上海市土壤环境背景值;重金属含量空间分布差异较大,Cu、Pb和Zn污染中心区主要位于商业区和内环线附近,Ni污染中心区主要位于外环线附近;市区街道灰尘中Pb主要以铁锰氧化物结合态存在,Cu主要以有机物结合态存在,Ni主要以残渣态和铁锰氧化物结合态存在,Zn主要以残渣态存在;其生物有效性表现为:Ni≈Pb>Zn>Cu。     

Genetic Relationship between <Emphasis Type="Italic">Castanea sativa</Emphasis> Mill. Trees from North-western to South Spain Based on Morphological Traits and Isoenzymes

This study is focused in the main chestnut growing areas from north- to south-western Spain. We studied 50 accessions corresponding to 22 cultivars named by local growers; 11 from Andalucía, 9 from Castilla-León, and 2 from Extremadura. These were compared with 22 types classified previously in Galicia (82 accessions). Ten morphological traits and five isoenzyme systems were used to classify them and establish genetic relationships. A lower genetic variability has been found in Extremadura (middle Spain) and Andalucía (south) than in Galicia (north western) which may be because of the lower importance of the crop in those areas and the geographic barriers between them. Galicia could be the origin of the types found in Castilla-León, Extremadura, and south-western Andalucía, and the types found in Central Andalucía were closer to those found in Castilla-León and Extremadura. Most accessions studied (117/132) could be classified positively, making 37 out of 44 cultivars found from northern to southern Spain. Three groups of synonymies were found in Castilla-León: ‘Brava’ and ‘Negral’, ‘Gallego’ and ‘Injerto’, and ‘Rapega’ and ‘Verdello’. Most of the Spanish types have been propagated as a principal clone. Variability within the types is important and must be considered to select the best clones as cultivars.     

天津表土中多环芳烃含量的空间分布特征与来源

采用聚类分析、方差分析和多重比较等统计方法,结合空间分异分析研究了天津表土中多环芳烃(PAHs)含量的多元和空间分布特征。结果表明,可根据样点PAHs含量和空间分布特征将天津地区划分为三个含量有显著差异且连续分布的区域,即南北低值区、市中心近郊次高值区和塘沽汉沽高值区。三区除PAHs含量有显著差别外,16种PAHs化合物的谱分布也有显著不同。根据不同化合物的含量关系及天津地区燃料消耗资料可以判定,南北低值区土壤中PAHs基本来自燃煤排放,而两个高值区污染来源复杂,除燃煤仍是主要来源外,其他重要来源还包括燃油和其他工业活动。     

Soil properties and their spatial pattern in an oasis on the lower reaches of the Tarim River, northwest China

In this study, classical, geostatistical methods and a geographical information system have been used to identify soil properties including soil organic carbon (SOC), total nitrogen (total N), salt content (SC) and soil moisture (SM), and their spatial variation as well as their relationships with groundwater, land use, and soil texture. The data came from 36 soil samples from 0 to 20 cm depth, and 36 groundwater samples in the Tikanlik Oasis on the lower reaches of the Tarim River, northwest China. The objective was to provide a scientific basis for understanding the heterogeneity of the spatial distribution of soil properties on a large scale with the goal of accelerating the sustainable development of agriculture in the oasis. The results showed that the SC and SM of the surface soil varied greatly, but the SOC and total N varied very little. A possible reason for the low variability of SOC and total N was the relatively consistent human activities within the typical agricultural oasis with more than 75% land used as cropland and orchards, because there was no significant effect of land use types on soil total N and SOC. Geostatistical analysis and the kriging estimator showed that SC and SM had a strong spatial autocorrelation. One-way ANOVA and LSD suggested that land use was the main structural indicator that resulted in the spatial autocorrelation of SC and SM within the 0-20 cm soil depth through its significant differences in soil texture, irrigation and groundwater. In particular, croplands and orchards had significantly higher SM, silt and clay particle percentages and lower SC compared to other land uses due to regular irrigation. Additionally, irrigation could effectively relieve the degree of the hazard from soil salt and soil water stress in cropland.