Spatial Patterns of Soil Moisture as Affected by Shrubs, in Different Climatic Conditions

At three study sites, representing Mediterranean, semi-aridand mildly-arid climatic conditions, the effect of shrubs onthe spatial patterns of soil moisture was studied. At eachsite soil moisture was measured, on hillslopes, at thevicinity of 8 shrubs. For each shrub the measurements havebeen taken at 3 microenvironments, i.e. under the shrub (US),at the margins of shrub (MS) and between shrubs (BS). At themicroenvironments US and MS the measurements were taken at 3 directions: upslope, downslope and sideslope of the shrubs. At all sampling points soil samples were taken from 3 depths: 0–2, 2–5 and 5–10 cm. In addition, rock fragments cover percentage near the shrubs was determined. A soil moisture pattern was found, around each shrub,which is composed of a radial gradient and a downslope gradient. The radial gradient is expressed by soil moisture decreasingfrom the US microenvironment, in all directions, through the MS towards the BS microenvironment. The US microenvironmenthas a `spatial advantage' of higher soil moisture content dueto (1) relatively higher infiltration rate, (2) capture overlandflow from the BS area upslope that shrub and (3) low evaporationrate because of the shading effect.The downslope gradient is expressed by decreasing soil moisturefrom the upslope direction of each shrub (MS and US microenvironments) towards the downslope direction of that shrub (MS and US microenvironments, respectively). Thisgradient is controlled by the relatively high content of rockfragments near the shrubs at their upslope direction. Suchrock fragments spatial distribution is attributed to (1) thedetachment and transport of rock fragments by sheep and goatstrampling and (2) the effect of shrub on the continuity ofoverland flow and sediment transport. The effect of rockfragments is similar to that of shrubs regarding increasinginfiltration and decreasing evaporation rate. The relativelyhigh soil moisture at the upslope direction of each shrubenhances annuals growth producing a positive feedback loop:soil moisture – annuals growth – trampling. This sequencemaintains the typical rock fragments spatial organization andcontributes to the sustainability of the grazing system.At all the study sites at the US microenvironment there isa trend of decreasing soil moisture with increasing soildepth. At microenvironments MS and BS soil moisture increaseswith soil depth.The results are of great relevance for rehabilitationstrategies as they suggest that in order to combatdesertification in degraded semi-arid and mildly-arid areas,where the main land use is grazing, both shrubs and rockfragment should be kept at their present spatial distribution.  

我国县域尺度生态环境质量状况及空间格局分析

利用全国31个省(自治区、直辖市)2008年的县域数据,按照《生态环境状况评价技术规范(试行)》(HJ/T192-2006)的方法和指标,评价了全国县域尺度的生态环境质量状况,分析县域生态环境质量的空间分布格局。结果表明,我国县域生态环境质量以"良"和"一般"为主,占国土面积的72%;东部地区县域生态环境质量好于中西部地区,中部地区县域生态环境质量以"良"为主,西部地区则以"一般"为主;在空间分布格局上,各生态环境质量类型受气候、大的地形地貌影响明显,与重要的气候分界线、山脉分布具有很好的相关性。  

An Integrated Framework for Regional Studies: Emergy Based Spatial Analysis of the Province of Cagliari

This research proposes an integrated framework to investigate human-dominated systems and provide a basic approach to urban and regional studies in which the multiple interactions between economic and ecological processes are considered as a whole. Humans generate patterns of land use, infrastructures and other settings and redistribute ecosystem functions as flows of energy and matter for self-maintenance. To understand these emerging interactions between humans and ecological processes, human activities (e.g. transformation processes, land conversions, use of resources) and biophysical agents such as geomorphology, climate and natural cycles need to be considered. Emergy Analysis (spelled with an “m”) is then used as an environmental accounting method to evaluate different categories of resource use with reference to their environmental cost. A case study of the Province of Cagliari (in the island of Sardinia, Italy) is reported and the procedure for allocating emergy flows, assigning them to districts and managing point data is discussed. Outcomes plotted on a map showed non-homogeneous spatial distribution of emergy flows throughout the region, suggesting the way ecosystem functions are affected and restructured by the human economy.  

Using Spatial Pattern to Quantify Relationship Between Samples, Surroundings, and Populations

The need for accurate carbon budgeting, climate change modelling, and sustainable resource management has lead to an increase in the number of large area forest monitoring programs. Large area forest monitoring programs often utilize field and remotely sensed data sources. Sampling, via field or photo plots, enables the collection of data with the desired level of categorical detail in a timely and efficient manner. When sampling, the aim is to collect representative detailed data enabling the statistical reporting upon the characteristics of larger areas. As a consequence, approaches for investigating how well sample data represent larger areas (i.e., the sample neighbourhood and the population) are desired. Presented in this communication is a quantitative approach for assessing the nature of sampled areas in relation to surrounding areas and the overall population of interest. Classified Landsat data is converted to forest/non-forest categories to provide a consistent and uniform data set over a 130,000 km² study region in central British Columbia, Canada. From this larger study area 322 2 × 2 km photo plots on a 20 × 20 km systematic grid are populated with composition and configuration information for comparison to non-sampled areas. Results indicate that typically, within the study area, the spatial pattern of forest within a photo plot is representative of the forest patterns found within primary and secondary neighbourhoods and over the entire population of the study. These methods have implications for understanding the nature of data used in monitoring programs worldwide. The ability to audit photo and field plot information promotes an increased understanding of the results developed from sampling and provides tools identifying locations of possible bias.  

Modeling the spatial pattern of farmland using GIS and multiple logistic regression: a case study of Maotiao River Basin, Guizhou Province, China

Land use change is an important topic in the field of global environmental change and sustainable development. Land use change modeling has attracted substantial attention because it helps researchers understand the mechanisms of land use change and assists regulatory bodies in formulating relevant policies. Maotiao River Basin is located in the province of Guizhou, China, which has a developed agricultural industry in the karst mountain areas. This paper selected biophysical and social–economic factors as independent variables, and constructed a multiple logistic regression of farmland spatial distribution probability by random sampling. Then, by using GIS technology and integrating the 2000 data, this study predicted the farmland spatial pattern. When the predicted map was compared with the actual farmland map for 2000, we noted that 71% of the simulation is in accordance with the 2000 farmland pattern. The result satisfactorily proves the reasonability and applicability of our model.  

Spatial Patterns of Water Quality in the Cuiabá River Basin, Central Brazil

This study evaluates the spatial patterns of land occupation and their relationship to water quality in the Cuiabá River watershed, one of the main affluents of the Pantanal floodplain. The impact of farming and other land occupation forms were studied using a three year time series. Monitoring included 15 parameters at 21 stations with a total of 1266 different samples. Ten stations along the Cuiabá River were ordinated by Principal Component Analysis (PCA). For an exploratory analysis in the spatial domain, sub-basins of the Cuiabá watershed were classified according to mean concentrations of selected water quality parameters. Supervised classification of digital Landsat ETM imagery and standard GIS techniques were applied to parameterize land use and occupation according to a watershed scale. Redundancy Analysis (RDA) was then used to evaluate impacts of environmental and socio-economic factors on water quality.A Cuiabá headwater station only shows slightly elevated total coliform counts and concentrations of nutrients in the river after it passes regions of extensive cattle farming. After the confluence with the Manso River, nutrient and COD concentrations increase significantly, receiving loads from sub-basins under intensive agricultural land use, with mean annual concentrations up to 1.74 mg/L of total nitrogen (Kjedahl). Sub-watersheds with intensive fishing culture activities were shown to have significant impact on nitrogen concentrations, reaching mean concentrations of 2.66 mg/L of total nitrogen in the affluents. Most serious biological and chemical water pollution can be observed at stream outlets in the urban agglomeration of Cuiabá/Várzea Grande. Affluent pollution is reflected in the water quality of the Cuiabá River: subsequent monitoring stations in the urban area are ordinated on a gradient of increasing degradation of chemical and biological water quality. The auto-depuration capacity of the Cuiabá River is intact, but elevated concentrations of Phosphorous and Chemical Oxygen Demand can be observed as far away as the Pantanal floodplain, about 120 km downstream from the urban agglomeration.  

Variation in spatial pattern of criteria air pollutants before and during initial rain of monsoon

Spatial patterns of various criteria air pollutants,like SO₂, NO₂, O₃, and TSP were studied atShahdara National Ambient Air Quality Monitoring stationin Delhi (India) in July 1999. The minimum pollutantconcentrations were observed during morning hours,whereas the highest concentrations were found during thelate night hours, which seem to be related with thevehicular emission. Pre-monsoon daily ambient airquality spatial pattern was compared with the spatialpattern during initial and subsequent rain shower ofmonsoon. These spatial patterns were found to beessentially the same before and during rain, however asignificant decrease in SO₂, NO₂ and TSPconcentrations (40-45%) was observed after initial andsubsequent rains of the monsoon, demonstrating theimportance of rainfall in the scavenging of thesecriteria air pollutants.  

Characterization of soil organic matter content of two sample size populations along a climatic transect

Soil organic matter (SOM) content was determined in two populations of soil samples that were taken from 0–2 soil depth. One population represented soil samples that were takenfrom a square of 25 cm² in size (small-S population) and the other population represented soil samples that were taken from a square of 2500 cm² in size (large-L population). Thesamples were collected on hillslopes in different climatic regions: Mediterranean (GIV), semi-arid (MAL), mildly-arid (MIS) and arid (KAL). The results of both S and L populationsshowed decreasing SOM mean and variance from the Mediterranean site to the arid site. Statistical and spatial characteristics of each population were compared between the climatic regions. In addition, comparison between the two populations was made foreach site. The difference in sample size did not significantly affect the mean values of SOM of the two populations in sitesGIV, MAL and KAL, but did affect the mean at site MIS. At all study sites, except for site MAL, the variance increased with decreasing sample size. At sites GIV and KAL the coefficient ofvariation of S population was higher (more than 1.5 times) thanthat of L population, whereas at sites MAL and MIS, the differences were negligible. The relationships between the valuesof S and L samples at the individual sampling points defined thebackground of the study sites, which reflects the effect of vegetation (type), grazing, biological crust and soil properties.It was found that at the extreme sites GIV and KAL the backgroundwas characterized by relatively low SOM content with small areas of high organic matter content. At site MIS the background wascharacterized by relatively high SOM with small areas of low organic matter content. At site MAL the background was not dominated by high values of SOM nor by low ones. The spatial pattern of L population became more simple with increasing aridity. At the relatively wet sites the spatial pattern did notdepend on the sample size while in the more arid sites it was sample size dependent. It was indicated that the spatial structure of SOM at the semi-arid and mildly arid sites is anisotropic whereas at the Mediterranean and arid sites it is isotropic.  

Nitrogen isotope ratios in pine bark as an indicator of N emissions from anthropogenic sources

The article describes the use of Scots pine bark to identifynitrogen sources in eastern Germany, as well as background areas in Russia and Bulgaria, by using natural isotope ratios of total nitrogen (N_t) and individual N compoundssuch as ammonium (NH₄ ⁺), nitrate (NO₃ ^-)and amid nitrogen (amide-N). The samples collected were analysed using an elemental analyser in connection with a gas isotope mass spectrometer (EA-IRMS). Natural ¹⁵N abundances in pine bark from impact areas suggest that the ammonium accumulated on the surface of the bark is releasedfrom livestock management. Bark of Scots pines growing near agricultural land had highly depleted ¹⁵N_t values (between –8 and –12), while bark from background areas (unpolluted areas) displayed slightly negative ¹⁵N_t values (mean ¹⁵N_t = –3.8). It is assumed that part of the N adsorbed on the bark surface is mainly derived from ammonia(mean ¹⁵N_t = –40.3) escaping from livestock housing and during the application of manure. This assumption is confirmed by experiments under controlled conditions in which manure samples were spread on soil. In addition, temporal and spatial variations of ¹⁵N_t abundances in pine bark from various locations in eastern Germany as wellas pine stands in Nature Park Dübener Heath are discussed.  

洪泽湖湖滨带表层沉积物氮、磷、有机质分布及污染评价

洪泽湖作为中国第四大淡水湖泊，是江苏北部地区重要的水源地，同时也是南水北调东线工程的重要调蓄湖泊之一，研究其湖滨带表层沉积物氮、磷、有机质的污染情况对维持洪泽湖水安全和生物多样性具有重要现实意义。基于2020年8月于洪泽湖湖滨带采集的43个表层（0~10 cm）沉积物样品，分析了总氮（TN）、总磷（TP）和有机质（OM）含量的空间分布特征及相关性，并运用综合污染指数法和有机污染指数法评价其污染程度。结果表明，洪泽湖湖滨带表层沉积物TN、TP、OM含量范围分别为232~2 152 ，123~439，0.91~18.65 mg/kg，均值分别为985，276，10.93 mg/kg；空间分布上均表现为东部大堤、成子湖和西部区域的TN、TP、OM含量高于过水通道；Pearson相关性分析显示，表层沉积物中ω(OM)与ω(TN)（r=0.705，P<0.01）、ω(TN)与ω(TP)（r=0.504，P<0.01）呈显著正相关；洪泽湖湖滨带表层沉积物综合污染指数范围为0.45~1.88，平均值为0.93，有机污染指数范围为0.001~0.221，平均值为0.067，2种评价方法均显示洪泽湖湖滨带表层沉积物中TN、TP、OM整体处于清洁—轻度污染状态。