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Composition of thermotolerant mycobiota in the soil of Israeli deserts and northern territories was examined in spatiotemporal dynamics. A total of 165 species from 82 genera were isolated at 37 °C using the soil dilution plate method. Aspergilli ( Aspergillus fumigatus and A. niger) and teleomorphic ascomycetes ( Canariomyces notabilis, Chaetomium nigricolor, and Ch. strumarium) comprised the basic part of the thermotolerant communities. The desert communities remarkably differed from the northern communities by a much higher abundance of A. fumigatus and teleomorphic species, as well as by a lower abundance of A. niger and Rhizopus arrhyzus. Seasonal dynamics revealed for the southern Negev was expressed mainly in the variations of species richness (substantially lower in the winter), and abundances of A. fumigatus (dominant in the summer) and A. niger (dominant in the winter). The composition of thermotolerant mycobiota was almost entirely different from the composition of mesophilic mycobiota at 25 °C. Melanin-containing fungi with many-celled conidia that dominated mesophilic communities in the deserts did not grow at 37 °C, while prevailing aspergilli accompanied by teleomorphic species with perithecial fruit bodies were apparently able not only to survive but also to germinate at this temperature and be active during a long hot period in the desert. [ABSTRACT FROM AUTHOR]

• A total of 51 antibiotics were detected in the Yangtze River. • Antibiotic compositions varied among three landform regions. • Elevation had indirect and negative effects on antibiotic concentrations in water. • Animal production predominately contributes to antibiotic profiles. • Total nitrogen is the best predictor of antibiotics. Human-induced antibiotic pollution in the world's large rivers poses significant risk to riverine ecosystems, water quality, and human health. This study identified geophysical and socioeconomic factors driving antibiotic pollution in the Yangtze River by quantifying 83 target antibiotics in water and sediment samples collected in its 6300-km-long reach, followed by source apportionment and statistical modeling. Total antibiotic concentrations ranged between 2.05–111 ng/L in water samples and 0.57–57.9 ng/g in sediment samples, contributed predominantly by veterinary antibiotics, sulfonamides and tetracyclines, respectively. Antibiotic compositions were clustered according to three landform regions (plateau, mountain-basin-foothill, and plains), resulting from varying animal production practices (cattle, sheep, pig, poultry, and aquaculture) in the sub-basins. Population density, animal production, total nitrogen concentration, and river water temperature are directly associated with antibiotic concentrations in the water samples. This study revealed that the species and production of food animals are key determinants of the geographic distribution pattern of antibiotics in the Yangtze River. Therefore, effective strategies to mitigate antibiotic pollution in the Yangtze River should include proper management of antibiotic use and waste treatment in animal production. [Display omitted] [ABSTRACT FROM AUTHOR]

River ecosystems interact strongly with adjacent terrestrial environments and receive dissolved organic matter (DOM) from a variety of sources, all of which are vulnerable to human activities and natural processes. However, it is unclear how and to what extent human and natural factors drive DOM quantity and quality changes in river ecosystems. Here, three fluorescence components were identified via optical techniques, including two humic-like substances and one protein-like component. The protein-like DOM was mainly accumulated in anthropogenically impacted regions, while humic-like components exhibit the opposite trend. Furthermore, the driving mechanisms of both natural and anthropogenic factors on the variations in DOM composition were investigated using partial least squares structural equation modelling (PLS-SEM). Human activities, especially agriculture, positively influence the protein-like DOM directly by enhancing anthropogenic discharge with protein signals and also indirectly by affecting water quality. Water quality directly influences the DOM composition by stimulating in-situ production through a high nutrient load from anthropogenic discharge and inhibiting the microbial humification processes of DOM due to higher salinity levels. The microbial humification processes can also be restricted directly by a shorter water residence time during the DOM transport processes. Furthermore, protein-like DOM was more sensitive to direct anthropogenic discharge than indirect in-situ production (0.34 vs. 0.25), especially from non-point source input (39.1%), implying that agricultural industry optimization may be an efficient way to improve water quality and reduce protein-like DOM accumulation. • 1-A higher ratio of protein-like DOM was found in anthropogenically impacted regions. • 2-Human activities positively influence the protein-like DOM directly and indirectly. • 3-A shorter water residence time inhibited the microbial humification of protein-like DOM. • 4-The protein-like DOM was more sensitive to direct anthropogenic discharge. [ABSTRACT FROM AUTHOR]

Major constituent concentrations (Na+, K+, Ca2+, Mg2+, HCO 3 −, SO 4 2−, Cl−, NO 3 −) were determined for a 121 km reach of the proglacial Matanuska River, associated tributaries, and five additional glacial rivers on the Kenai Peninsula of southcentral Alaska during peak flow conditions in July 2019. Mass balance and mixing models were utilized to gain insight to chemical weathering processes and carbon feedback implications along the sampling transect. Solute compositions of the Matanuska River varied spatially, shifting from carbonate dominance near the terminus of the Matanuska Glacier to a carbonate-silicate weathering signature in the lower reaches of the river. Geochemical modeling suggests that carbonate dissolution closest to the Matanuska Glacier terminus is driven by sulfuric acid produced from the oxidation of sulfide minerals in the subglacial and proglacial system that acts as a source of CO 2. This contrasts with the lower reaches of the Matanuska River, its tributaries, and other Kenai glacial rivers, where mineral dissolution is dominated by carbonic acid and weathering acts as a sink of atmospheric CO 2. The spatial variations observed in stream and river compositions are predominantly attributed to the local lithological variations across the catchment, with subglacial weathering signatures observed in the meltwater solute compositions closest to the Matanuska Glacier terminus. This study highlights the importance of spatial sampling in proglacial systems, as proglacial water chemical signatures and carbon feedback implications can shift significantly away from the glacial terminus. • Spatial sampling approach captured shifts in weathering signatures along the river. • Matanuska proglacial system transitions from a source to a sink of CO 2 along its transect. • Overall, Matanuska proglacial river system contributed a net sequestration of CO 2. • Lithology, subglacial weathering, and acid sources control the observed weathering signatures. [ABSTRACT FROM AUTHOR]

• CrAssphage showed significant and strong correlation with enteric pathogens. • CrAssphage and enteric pathogen concentrations are lowest during summer except s tx 2. • No spatial variation was identified in the pathogen concentrations in WWTPs in NC, USA. • CrAssphage monitoring can be a powerful tool for water quality surveillance. Enteric disease remains one of the most common concerns for public health, particularly when it results from human exposure to surface and recreational waters contaminated with wastewater. Characterizing the temporal and spatial variation of enteric pathogens prevalent in wastewater is critical to develop approaches to mitigate their distribution in the environment. In this study, we aim to characterize pathogen variability and test the applicability of the human-associated wastewater indicator crAssphage as an indicator of enteric viral and bacterial pathogens. We conducted weekly samplings for 14 months from four wastewater treatment plants in North Carolina, USA. Untreated wastewater samples were processed using hollow fiber ultrafiltration, followed by secondary concentration methods. Adenovirus, norovirus, enterovirus, Salmonella , Shiga toxin 2 (stx 2), Campylobacter , and crAssphage were measured by quantitative polymerase chain reaction (qPCR) and reverse transcriptase (rt)-qPCR. Our results revealed significant correlations between crAssphage and human adenovirus, enterovirus, norovirus, Salmonella , and Campylobacter (p <0.01). Pathogens and crAssphage concentrations in untreated wastewater showed distinct seasonal patterns, with peak concentrations of crAssphage and viral pathogens in fall and winter, while bacterial pathogens showed peaked concentrations in either winter (Campylobacter) , fall (Salmonella) , or summer (stx 2). This study enhances the understanding of crAssphage as an alternative molecular indicator for both bacterial and viral pathogens. The findings of this study can also inform microbial modeling efforts for the prediction of the impact of wastewater pathogens on surface waters due to increased flooding events and wastewater overflows associated with climate change. Designed in BioRender®. [Display omitted] [ABSTRACT FROM AUTHOR]

Liquid crystal phase retarders are utilized by photonic devices and imaging systems for various applications, such as tunable filtering, light modulation, polarimetric imaging, remote sensing and quality inspection. Due to technical difficulties in the manufacturing process, these phase retarders may suffer from spatial non-uniformities, which degrade the performance of the systems. These non-uniformities can be characterized by measuring the spectral transmission at each voltage and each point on the liquid crystal cell, which is time consuming. In this work, we present a new fast and simple method for measuring and computationally estimating the spatial variations of a liquid crystal phase retarder with planar alignment. The method is based on measuring the spectral transmission of the phase retarder at several spatial locations and estimating it at others. The experimental results show that the method provides an accurate spatial description of the phase retarder and can be employed for calibrating relevant systems.

The urban heat island (UHI) effect, in which urbanized areas tend to have warmer conditions compared to their rural surroundings, has drawn increasing attention in recent years. Using ground-based and satellite remote sensing data, we present a method to quantify the spatial pattern and diurnal and seasonal variations in canopy layer heat islands (CLHIs) in China’s 32 major cities during 2009 and investigate their relationships with built-up intensity (BI), nighttime lights, vegetation activity, surface albedo, and surface urban heat island intensity (SUHII). The results show that both the annual daytime and nighttime CLHI intensities (CLHIIs) were positive ranging from 0.2 °C to 2.2 °C and from 0.3 °C to 2.4 °C for these major cities, respectively. Higher CLHIIs were observed in the night, especially for northern parts of China. Along urban–rural gradients, the CLHI effect had an exponential decay shape and differed greatly by season. The CLHII distribution correlated positively and significantly to BI and nighttime lights. Vegetation activity was negatively correlated with the CLHII and more strongly in summer. Surface albedo showed an extremely weak correlation with the CLHII. In addition, CLHII had a strong correlation with SUHII. The annual daytime SUHII was 1.2 ± 1.1 °C (mean ± standard deviation) with 0.40 °C (95% confidence interval 0.36 to 0.44 °C) of annual daytime CLHII. The annual nighttime SUHII was 2.0 ± 0.8 °C with 1.04 °C (0.99 to 1.09 °C) of annual nighttime CLHII. Our results suggest that, reducing built-up intensity and anthropogenic heat emissions and increasing urban vegetation provide a co-benefit of mitigating SUHI and CLHI effects.

A new type of polarization signatures for the radar imaging of the Earth's cover is proposed. These signatures allow determining the degree of spatial variations of the backscattering coefficient based on the fractal approach. The azimuthal dependence of the radar backscattering spatial variations is discovered when analyzing backscattering on a pine forest. [ABSTRACT FROM AUTHOR]

We investigated the occurrence of disinfection by-products (DBPs) with genotoxic potential in plant effluent and distribution water samples from four drinking water treatment plants in two Chinese cities using comprehensive two-dimensional gas chromatography–quadrupole mass spectrometry. We tested the samples for 37 DBPs with genotoxic potential, which we had previously identified and prioritized in water under controlled laboratory conditions. Thirty of these DBPs were found in the water samples at detection frequencies of between 10% and 100%, and at concentrations between 3.90 and 1.77 × 10 3 ng/L. Of the DBPs detected, the concentrations of 1,1,1-trichloropropan-2-one were highest, and ranged from 299 to 1.77 × 10 3 ng/L with an average of 796 ng/L. The concentrations of 6-chloro-2-N-propan-2-yl-1,3,5-triazine-2,4-diamine and 2,6-ditert-butylcyclohexa-2,5-diene-1,4-dione were also much higher, and ranged from 107 to 721 ng/L, and from 152 to 504 ng/L, respectively. Concentrations of 1,1,1-trichloropropan-2-one, 2-chloro-1-phenylethanone, 2,2-dichloro-1-phenylethanone and 6-chloro-2-N-propan-2-yl-1,3,5-triazine-2,4-diamine were highest at or near the treatment plants and decreased with increasing distance from the plants. Patterns in the concentrations of benzaldehyde, 2-phenylpropan-2-ol, and 1-methylnaphthalene differed between plants. The levels of DBPs such as 4-ethylbenzaldehyde, (E)-non-2-enal, and 1-phenylethanone were relatively constant within the distribution systems, even at the furthest sampling points (20 km < d < 30 km). A risk assessment showed that there was no risk to human health. It is, however, important to note that, because of limited availability of toxicity data, only five DBPs were evaluated in this study. The risks to health associated with exposure to the target potentially genotoxic DBPs should not be ignored because of their prolonged existence in drinking water. [ABSTRACT FROM AUTHOR]

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Meiofauna are ubiquitous but poorly-studied components of soft-bottom marine habitats around the world, including mangroves. The dynamic environmental conditions and heterogeneous sediments of mangroves present challenges to understanding the structure of mangrove meiofaunal assemblages at various spatial and temporal scales. In this study, we investigated the meiofaunal assemblage structure of sediments colonised by three mangrove species, namely, Avicennia marina, Rhizophora stylosa and Aegiceras corniculatum , at three locations in subtropical eastern Australia. Spatial and temporal variations were tested by sampling at the three mangrove locations (i.e. Tallebudgera, Currumbin and Terranora) in autumn, with samplings repeated at Tallebudgera at two other times broadly representing during dry/cool winter and wet/hot summer seasons. We examined the variability of the sediment environments within each of the different mangrove species, and investigated how meiofaunal assemblages would respond to the particular changes in their habitats to result in differences in assemblage structure between and within sites. Total meiofaunal density was highest in Tallebudgera and Currumbin and lowest in Terranora (mean density of 424, 393 and 239 ind.10 cm −2 , respectively). In Tallebudgera, the density was higher in winter and summer (mean density of 546 and 530 ind.10 cm −2 , respectively). The meiofaunal assemblage in this study shows a trend and association with the environmental variables. High availability of food proxies such phaeopigments, Chl a or TOC, with moderate tannin content and appropriate habitat structure (sediment particle size, belowground root biomass and/or moisture content provide the best condition for the meiofauna to achieve the highest density. However, given the complex dynamic habitats and the spatial heterogeneity of the mangrove environments across different locations and seasons, no clear generalization could be made regarding the key environmental variables that predominantly shape the meiofaunal assemblages’ structure. [ABSTRACT FROM AUTHOR]

Geographically weighted regression (GWR) models have been employed in previous studies regarding vehicular travel demands, but few studies have locally modeled walking travel demands at intersections to address the issue of spatially varying relationships. Harnessing a comprehensive collection of walking and bicycling traffic counts over 10 years in Chittenden County, Vermont, US, along with socioeconomic characteristics, transit accessibility indices, land use attributes and characteristics of intersections and roadway networks, this study utilizes GWR models to identify whether there are spatially varying relationships between active mode travel demands and ambient built-environment attributes. One Ordinary Least Square (OLS) model and two GWR models were parametrically calibrated: a full GWR model of all local variables and a mixed GWR model of both global and local variables. K-fold cross-validation method is used to select variables that significantly influence the volume of active travel modes in the OLS model. The uniform set of variables is investigated in two GWR models. Only residuals of the mixed GWR model exhibit spatial independence. The prediction accuracy of the three models is respectively compared by means of the k-fold cross-validation method. Results show that the mixed GWR model has higher prediction accuracy, while the other two models have roughly the same level of performance. We find that not all independent variables possess a spatially varying relationship with active mode volumes. The flexibility of the mixed GWR model that allows some independent variables to be global strengthens its prediction power. With these findings, transportation planners can dynamically estimate bicycle and pedestrian volumes at widespread intersections, and this geographical realism would facilitate local transportation planning, facility design, safety enhancement and operation analysis, as well as instilling new insights into interdisciplinary spatial research domain. [ABSTRACT FROM AUTHOR]

Radon and its short lived decay products accumulated in indoor environment are the main source of public exposure to natural radiations. The health effects as well as a great number of natural and artificial factors affecting the radon accumulation in indoor environments are some of the motives for the scientific interest in radon issue. Following this global trend, many studies of indoor radon in the Balkan region, including the Republic of Macedonia have been conducted in the last decade. This paper is an overview of the published papers regarding indoor radon concentration measurements with nuclear track detectors in the Republic of Macedonia. It gives basic information about the spatial and temporal variability of indoor radon over the territory of the country, following by a description of the some factors which affect its variations. This review attempts: to organize available indoor radon results in order to show clear picture of the so far conducted surveys; to highlight the need for continuation of more extensive radon investigation in workplaces; to motivate the building professionals to create as much as possible mitigation methods for indoor radon reduction, to motivate the health professionals for epidemiological studies etc. [ABSTRACT FROM AUTHOR]

Introduction and objective. This study examines the geographical variation of amenable mortality in Poland, focusing primarily on the role of health care resources at the level of administrative districts and regions, and selected area socioeconomic characteristics as explanatory factors. The concept was used of amenable mortality, based on the assumption that deaths from certain causes should not occur in the presence of timely and effective health care. Materials and method. Standardized death rates (SDR) from causes considered amenable to health care and, separately, for ischaemic heart disease (IHD), were calculated for each of 379 districts (NUTS 4 level) in Poland in 1991-1995 and 2006-2010, using unit mortality data from the National Causes of Death Register. The analytical procedure involved spatial analysis of the distribution of amenable mortality rates, selection of explanatory variables and fitting multilevel regression models using area-level and regional-level characteristics. Results. The results indicate that mortality from conditions which have become amenable to medical intervention has generally decreased in all districts of Poland in the past two decades. Considerable territorial variation in mortality can be observed. Since the 1990s, these differences have been reduced for IHD-related mortality and have increased for amenable mortality. Conclusions. The presented analysis only partly confirms the correlation between variables reflecting the infrastructure of health care resources and the territorial variation in mortality from these two categories of causes of death. Significant correlations with variation in mortality are revealed for the number of primary care physicians (at district level) and the number of specialist practitioners (at regional level). However, after controlling for socioeconomic variables, such as education and low income, the effect of the health care infrastructure-related variables was considerably reduced. The multi-level models also revealed a substantial variation at the regional level, which implies that there are other unobserved contextual influences on amenable mortality at this level. [ABSTRACT FROM AUTHOR]

In China, household CO2 emissions (HCEs) are increasing due to economic development and accelerated urbanization. This paper details the spatial variations of per capita household CO2 emissions (PHCEs) in China and the factors impacting PHCEs using spatial statistical analysis and a spatial panel data model for the period from 1997 to 2014. Our results indicate that (1) there has been high provincial variation in rates of change across China, with some provinces' PHCEs increasing by an order of magnitude from 1997 to 2014; (2) the Global Moran's I of PHCEs are above 0, and the spatial differences between PHCEs are caused by the High-High cluster and Low-Low cluster in China; (3) a 1% increase of per capita income, education level, and urbanization will result in increases in PHCEs of 0.6990%, 0.0149%, and 0.0044%, respectively, whilst a 1% increase in household size will result in a 0.0496% decrease in PHCEs. There are a large number of factors impacting CO2 emissions, while there is little specific guidance on the spatial variations and provincial characteristics of CO2 emissions from the perspective of household consumption. [ABSTRACT FROM AUTHOR]

Two species of chthamalid barnacles are well established from the upper to the lower limit of the midlittoral zone on the rocky shores of the North Adriatic Sea: Chthamalus stellatus, Poli and Chthamalus montagui, Southward. The present study deals with the vertical distribution and abundance for each species at two localities of the Istrian peninsula coast (North Adriatic Sea). For this purpose chthamalid populations were monitored in 2015 along the Slovenian marine coast (Bay of Koper, Gulf of Trieste) and along the Croatian marine coast, near Rovinj (west Istrian coast), both on limestone. The main aim of the study was to establish if there was a relationship between the vertical distribution and abundance of these two species at different spatial scales: small (between sites, about 1 kilometer) and large (between localities, 10s of kilometers). The selected localities are slightly different in tidal range, in orientation and wave exposure. Three sites were randomly selected at each locality and two transects per tidal level (upper, middle and lower) were chosen on each site. The abundance of each chthamalids species in 1 dm2 plots was determined at three different tidal levels along each transect. The results indicated that the vertical distribution of C. montagui and C. stellatus was very similar between localities and even among sites, but their abundance varied. At both localities, C. montagui was more abundant in the upper and middle tidal levels, while C. stellatus was more abundant at the lower tidal level. It was also found that C. montagui was more abundant in sheltered conditions (Bay of Koper), while C. stellatus on the coast more exposed to the wave action (near Rovinj), at all tidal levels. [ABSTRACT FROM AUTHOR]

Spatial patterns of distribution, abundance, and species diversity of small odontocetes including species in the Delphinidae and Phocoenidae families were investigated using long-term dedicated sighting survey data collected between 1983 and 2006 in the North Pacific. Species diversity indices were calculated from abundance estimated using density surface modeling of line-transect data. The estimated abundance ranged from 19,521 individuals in killer whale to 1,886,022 in pantropical spotted dolphin. The predicted density maps showed that the habitats of small odontocetes corresponded well with distinct oceanic domains. Species richness was estimated to be highest between 30 and 40°N where warm- and cold-water currents converge. Simpson׳s Diversity Index showed latitudinal diversity gradients of decreasing species numbers toward the poles. Higher diversity was also estimated in the coastal areas and the zonal areas around 35–42°N. Coastal–offshore gradients and latitudinal gradients are known for many taxa. The zonal areas around 35°N and 40°N coincide with the Kuroshio Current and its extension and the subarctic boundary, respectively. These results suggest that the species diversity of small odontocetes primarily follows general patterns of latitudinal and longitudinal gradients, while the confluence of faunas originating in distinct water masses increases species diversify in frontal waters around 30–40°N. Population densities tended to be higher for the species inhabiting higher latitudes, but were highest for intermediate latitudes at approximately 35–40°N. According to latitudinal gradients in water temperature and biological productivity, the costs for thermoregulation will decrease in warmer low latitudes, while feeding efficiency will increase in colder high latitudes. These trade-offs could optimize population density in intermediate latitudes. [ABSTRACT FROM AUTHOR]

Aims: Our study aimed to determine whether, and to what extent, stand characteristics and topography affected spatial variations in soil organic carbon (SOC), total nitrogen (TN) and total phosphorus (TP) concentrations in subtropical forests. Methods: Soil samples were taken from a Choerospondias axillaris deciduous broadleaved forest and a Lithocarpus glaber-Cyclobalanopsis glauca evergreen broadleaved forest. Spatial variations in SOC, TN and TP concentrations and the factors affecting them were investigated using geostatistical analysis and stepwise linear regression, respectively. Results: The L. glaber-C. glauca forest exhibited higher coefficients of variation (CVs) of SOC (35 %) and TN (34 %) concentrations than the C. axillaris forest (27 % for SOC and 21 % for TN), but the CV of TP concentration in the L. glaber-C. glauca forest (17 %) was lower than that in the C. axillaris forest (24 %). Stand characteristics contributed the most to spatial variations in SOC and TP, while soil texture made the greatest contribution to variations in TN. Topography contributed the least to variations in SOC, TN and TP. Conclusions: Stand characteristics, together with topography and soil texture, contributed to spatial variations in SOC, TN and TP concentrations. The contributions of stand characteristics differed in SOC, TN and TP due to their different cycling characteristics. [ABSTRACT FROM AUTHOR]

The aim of this study is to identify the main sources responsible of airborne particles around an industrial site. For this purpose, two sampling points were installed around a real industrial site, characterized by a variety of steel-plant processes. Several chemical analyses were performed in order to determine the concentrations of 18 trace metals. An advanced technique called Positive Matrix Factorization (PMF) was used to find the sources and their relative contribution to PM10. PMF has a substantial advantage over more conventional methods in receptor modeling due to non-negativity of factors and use of error estimates. The present study is the first reported comparison between sources profiles given by PMF and the real iron and steel sources such as Basic Oxygen Furnace, Electric Arc Furnace, steelworks and coke plants. The results show that the choice of trace metal is very important to judge their representativeness compared to measure total mass PM10. Globally, the identification, according to real source profile, is in a good agreement with PMF source profile, and their inter-comparison revealed the most robust association of elements. The contribution of identified emission sources has large temporal and spatial variations and can provide a good information to validate identification using others exogenous information. [ABSTRACT FROM AUTHOR]

The Gulf of Guinea represents a wide tract of the African coast with complex and rich coastal ecosystems undergoing various pressures. The seasonal variations of chlorophyll-a concentration (Chla) along the Gulf of Guinea (GoG) and their relations with physical oceanographic variables were analyzed using satellite observations covering the period 2002–2012. The effects of sea surface temperature (SST), sea level anomalies (SLA), winds, geostrophic currents, eddy kinetic energy (EKE), mesoscale eddies and fronts were considered on a monthly time scale. The analysis for each unit area was carried out on a chlorophyll index (IChla) computed as the product of the mean distance from the coast to the eutrophic threshold (1 mg m −3 isoline) and the average Chla in the eutrophic area. The study, based on satellite-derived Chla, was allowed by the unprecedented coverage given by the products distributed by the ESA Ocean Colour Climate Change Initiative (OC_CCI) resulting from the merging of data from several satellite missions. The physical variables served as potential predictors in a statistical Boosted Regression Tree (BRT) model. To account for the heterogeneous nature of the GoG, the analysis was conducted on eight systems that made up a partition of the whole region defined on the basis of the BRT model results and climatological properties. The western-most domain, from Guinea-Bissau to Sierra Leone, was associated with upwelling properties in boreal winter and appeared to share some characteristics with the overall Northwest African upwelling system. The region of Ivory Coast and Ghana also had upwelling properties but the main upwelling season was in boreal summer. In general upwelling conditions with cold SST, negative SLA, fairly strong frontal activity, and moderate winds, appeared as the environmental window most favorable to high IChla values. For these systems, the BRT model fitted the IChla data well with a percentage of explained total deviance D 2 between 70% and 91% when using only physical oceanographic variables. Finally, the systems associated with the coasts of Nigeria to Gabon showed some mixed properties, with D 2 values of 54–60%. Among these systems, a common feature seemed to be the importance of river discharge to explain IChla variations. Where possible (for the Niger River in the Nigeria system), the addition of river data as predictor in the BRT model resulted in a significant increase of D 2 to 75%. Further progress is needed to understand the observed relationships and to predict how they can evolve in the face of climate change. [ABSTRACT FROM AUTHOR]

The aim of this research was to study spatial and temporal variation in epiphyte cover and leaf biomass of Posidonia oceanica in Eastern Tunisia. Sampling was conducted at four stations on the Mahdia coast during October and December 2010, and April and August 2011, which correspond respectively to autumn, winter, spring and summer in this area. Posidonia oceanica shoots were collected at two depths (5 and 10 m). Cover of macroinvertebrates and macroalgae was estimated on adult leaves. The results showed that leaf and epiphyte biomasses vary significantly according to sampling date, with the highest values recorded in August. We found a high diversity of epiphytic assemblages on the leaves of P. oceanica with clear qualitative and quantitative dominance of Rhodophyceae compared to other groups, followed by Phaeophyceae. Most epiphyte species on the leaves of P. oceanica in Eastern Tunisia are the same as those in other parts of the Mediterranean Sea. No bathymetrical variation in the epiphytic community was found in our study area, which can be explained by the high levels of water clarity in Mahdia. [ABSTRACT FROM AUTHOR]

The Ross Sea plays a major role in the transfer of organic carbon from the surface into the deep sea due to the combination of high seasonal productivity and Antarctic bottom water formation. Here we present a particle inventory of the Ross Sea based on a combined deployment of a video particle profiler (VPP) and a high-resolution digital holographic microscope (DIHM). Long-distance (100 s of kilometers) and short-distance (10 s of kilometers) sections showed high variability of particle distributions that co-varied with the density structure of the water column. Particle export was apparent at sites of locally weakened pycnoclines, likely an indirect effect of nutrient mixing into the surface layer and local blooms that lead to export. Particle volume abundances at 200–300 m depth were highly correlated with particle volume abundances in the upper mixed layer (< 60 m), consistent with particles at depth primarily the result of export rather than lateral advection. Phaeocystis antarctica (Haptophyta) colonies that were initially retained in the mixed layer sank below the euphotic zone within a period of two weeks. Fine-scale analysis at a resolution < 1 m revealed a significantly overdispersed (i.e., highly patchy) environment in all casts. Patchiness, as determined by the Lloyd index of patchiness and the Index of Aggregation, increased in and below the pycnocline presumably due to aggregation of particles while accumulating on density gradients. In contrast, particles in the upper mixed layer and in the nepheloid layers were more randomly distributed. In 40 of the 84 VPP depth profiles, a periodicity of particle peaks ranged from 10 to 90 m with a mode of 30 m, which can be regarded as the “relevant scale” or “characteristic patch size” of the vertical distribution of particles. While chlorophyll fluorescence and particle mass determined by VPP were significantly correlated at higher particle abundances, the relationship changed from cast to cast, reflecting changes in the relative contribution of fresh phytoplankton to total particle mass. Particles that sank below the main pycnocline were composed of phytoplankton, marine snow with and without embedded phytoplankton, crustacean plankton, and a surprisingly high percentage of heterotrophic (and perhaps mixotrophic) protists, such as acantharians and tintinnids. [ABSTRACT FROM AUTHOR]

Mercury (Hg) poses environmental and health risks due to its global distribution and high toxicity exhibited in some of its chemical forms. Although Hg is naturally present in the environment, human activities have increased its cycling among the land, atmosphere and ocean by a factor of three to five comparing the pre-industrial period to the present day. The Torviscosa chlor-alkali plant (CAP), which operated since the beginning of twentieth century, was one of the most important Cl production capacity in the Northern Italy and was responsible for an uncontrolled discharge of Hg in the surrounding area. Previous studies reported the high degree of Hg pollution in soils, river sediments and surface waters of the area, but the Hg level in the atmospheric media was never taken into consideration. In this work, an integrated approach was applied with the aim to assess the level, distribution and dispersion of gaseous elemental mercury (GEM) close to the CAP area. GEM levels were monitored by means of four surveys conducted from September 2014 to July 2015, at fixed locations and covering an area of about 10 km (including CAP area, Torviscosa village and reclaimed land), accomplished to Hg bioaccumulation measurements in selected lichens. The results indicate that the CAP area currently represents the main source of GEM in the Friuli Venezia Giulia region. The highest levels were found close to the old factory's buildings (more than 5000 ng m), whereas other sites are less impacted. The emission of GEM is not clearly related to the intensity of solar radiation (temperature) at the soil level; however, this latter influences the release from the old buildings employed in the past for the production activities. The most important factor driving the GEM dispersion is the wind, as confirmed by the map of lichens bioaccumulation. In this context, the GEM plume partially affects the nearby village of Torviscosa (about 1 km), but the values found were always well below the international thresholds for residential areas, thus excluding the risk of inhalation for local inhabitants. [ABSTRACT FROM AUTHOR]

• We map onset of photosynthesis (SOS SIF) of evergreen vegetation for Tibetan Plateau. • SOS SIF advanced widely across the surveyed areas during 2001–2019. • The response of SOS SIF to temperature depends on water availability. • Trade-off between water and light affects the response of SOS SIF to precipitation. • New explanations for spatial variations in response of SOS SIF to climate change. Phenological changes of evergreen vegetation affect ecosystem functions and land-atmosphere exchanges. Although recent studies have documented changes in the spring onset of photosynthesis derived from satellite solar-induced chlorophyll fluorescence (SOS SIF) of evergreen vegetation in the Northern Hemisphere, spatial variations in the response of the onset of spring photosynthesis to climate change remain poorly characterized. Using a continuous solar-induced chlorophyll fluorescence dataset, we found that SOS SIF advanced in more than 70.0% of surveyed areas with evergreen vegetation, represented as pixels and spread widely across the Tibetan Plateau. Warming temperatures contributed to advanced SOS SIF in more than 42.0% of surveyed areas, mainly in the southeast and areas between 90 and 97 °E. Increasing precipitation contributed to advanced SOS SIF in about 15.0% of surveyed areas, mainly along the southeastern edge of the plateau. A negative partial correlation between SOS SIF and temperature (R P (SO S SIF , T)) was observed in more than 65.0% of surveyed areas, and stronger negative R P (SO S SIF , T) was found in areas with a larger positive interannual correlation between preseason temperature and precipitation, likely due to the better match between favorable temperature and water conditions in these areas. The positive R P (SO S SIF , T) was likely associated with low water availability. The partial correlation between SOS SIF and precipitation (R P (SO S SIF , P)) was spatially diverse, with negative R P (SO S SIF , P) in about half of surveyed areas. Stronger negative R P (SO S SIF , P) was observed in areas with a stronger negative interannual correlation between preseason precipitation and solar radiation, which was probably caused by the trade-off between water and light availability to maximize the benefits from precipitation. The positive R P (SO S SIF , P) was likely due to the lack of solar radiation. This study provides new explanations for spatial variations in the response of SOS SIF to temperature and precipitation, contributing to assessments of vegetation phenology and global carbon cycle modeling. [ABSTRACT FROM AUTHOR]

High-latitude marine environments, such as the Beagle Channel, are highly vulnerable to modifications related to climate change and anthropogenic impacts, which can rapidly affect the ecological attributes of plankton communities and thus alter ecosystem trophodynamics. This study compares the mesozooplankton community structure in the inner and outer (eastern) Beagle Channel during spring and assesses the interactions of the main mesozooplankton trophic groups with lower and higher trophic level organisms under an isotopic approach. Oceanographic data and biological samples, ranging from sediment and phytoplankton to pelagic squat lobsters (Grimothea gregaria), were collected along the channel during two research cruises conducted in November 2019. Mesozooplankton abundance and taxonomic composition differed between sectors, in agreement with their distinct environmental conditions. The inner sector was dominated by copepods, mainly Clausocalanidae spp., followed by cirripede and echinoderm larvae and appendicularians. In the outer sector, with shallower, saltier, and warmer waters than the inner one, mesozooplankton abundances were notably higher and both copepods and decapod larvae, mainly Peltarion spinosulum and G. gregaria zoeae, were dominant. This pattern in meroplankton abundance was consistent with the bathymetric distribution reported for benthic adults. Between-sector differences in taxonomic composition, e.g., Macruronus novaezelandiae (hake) larvae occurring only in the outer sector, may be attributed to the higher connectivity between this sector and the open ocean and the semi-enclosed character of the inner channel. Mesozooplankton spatial variability was partially reflected in the isotopic niche width of their different trophic groups such as copepods, euphausiids and decapod larvae. However, at the community level, trophic attributes (i.e., baseline resources, trophic positions, isotopic diversity metrics) were quite similar in the two sectors, suggesting similar basal and vertical trophic structures. According to Bayesian stable isotope mixing models, most trophic groups, including pelagic G. gregaria , rely on phytoplankton as their main carbon source. This reveals a weak predation pressure on mesozooplankton by the squat lobster and reinforces a bottom-up regulation during the spring season. This study contributes to our knowledge of trophic interactions in plankton communities and how they are regulated by bottom-up and top-down forces, which is imperative for monitoring and management purposes. • Mesozooplankton community structure differed between the inner and outer channel. • Zooplankton abundance was higher in the saltier, warmer and shallower outer sector. • Similar community trophic attributes were found in both sectors. • Phytoplankton constitute the main carbon source for all trophic groups in spring. [ABSTRACT FROM AUTHOR]

Limited research exists on factors influencing the place of death (POD) or hospital deaths among lymphoma patients in China, despite the country's significant burden of lymphoid neoplasms. This study aimed to describe the distribution of POD among lymphoma patients and identify the factors associated with hospital lymphoma deaths to provide evidence for developing targeted healthcare policies. Data in this study were obtained from the National Mortality Surveillance System (NMSS). The distribution of POD among individuals who died from lymphoma was analyzed, and factors influencing the choice of dying in the hospital were examined. Chi-square test was employed to analyze the differences in characteristic distributions. Multilevel logistic regression analysis was identify the relationship between hospital deaths due to lymphoma and individual factors, as well as socioeconomic contextual variables. During 2013-2021, there were 66772 lymphoma deaths reported by the NMSS, including 44327 patients (66.39%) who died at home and 21211 (31.77%) died in the hospital. Female patients, those had a higher level of educational attainment, retired individuals, those died of non-Hodgkin lymphoma, residents of urban areas, patients between the ages of 0 and 14, and unmarried individuals had a higher probability of dying in hospitals. Improving health care providers' understanding of palliative care for cancer patients and prioritizing accessible services are essential to enhance the quality of end-of-life care. These approaches ensure the equitable allocation of healthcare resources and provide diverse options for minorities with specific preferences regarding end-of-life care., Competing Interests: None., (AJCR Copyright © 2023.)

The spatial dynamics of the red grouper Epinephelus morio plays a fundamental role in the fishery management on the Campeche Bank, where it is overfished. The objective of this study was to characterize the spatial dynamics of this population. We used a dynamic model of spatial distribution to estimate population movement rates between adjacent areas. The model was applied using information on catch per unit effort and length-frequency distributions for the Mexican mid-sized fleet that operated in the area in the period 1973-1977. These data were chosen to ensure that the information would reflect the condition of the resource before overfishing. It was possible to quantify the spatial dynamics of the red grouper and the results were consistent with previously known movement patterns. The results showed different movement rates and temporal patterns of movement for different population sectors. The spawning aggregations and the seasonal upwelling occurring in the eastern part of the Bank were considered as key factors influencing the pattern of population movements.

Short-term temporal variability in infaunal crustacean communities was evaluated against environmental variability. The area of study was located at two stations at 45 and 60 m depth under the influence of the Ebro River. Differences in the relative abundance of crustacean species between sites might be related to the distance from the river, with higher organic matter supply and finer mud content near the river. There was a marked seasonal variability linked to high phytoplankton production in spring, which supplied organic matter to the benthos, inducing higher crustacean abundance. In late summer there was a reduction in the infaunal crustacean abundance and species richness that could have been caused by two factors: the establishment of the thermocline, which could limit the availability of organic matter to the seabed, and the high water temperatures, which caused the production of phytoplankton exudates and accumulation of mucilaginous aggregates over the seabed. The 45-m site was under the influence of otter-trawl fishing and precisely in this area the seasonal variability was not observed, probably masked by the effects of trawling impact.

Baltic larval cod drift, growth and survival use idealised constructed mean prey fields of nauplius distributions. These simulations revealedthe best feeding conditions for Baltic cod larvae longer than 6 mm. For shorter, first feeding larvae (between 4.5 and 6 mm) pronounced differences in growth and survival were observed,which depend on food availability and to a lesser degree on ambient temperature. We performed runs with an Individual-based Model (IBM) for Baltic cod larvae in order to demonstrate hownatural variability in prey abundance influences the survival success of first feeding larvae. In the Baltic, this larval stage lives mainly between 20 and 40 m depth and feeds exclusivelyon the nauplii of different calanoid copepods (Acartia spp., Pseudocalanus acuspes, Temora longicornis and Centropages hamatus).Prey data obtained from vertically stratified samples in the Bornholm Basin (Baltic Sea) in 2001 and 2002 indicate a strong variability at spatial and temporal scales. We calculatedlarval survival and growth in relation to natural variation of prey fields, i.e. species-specific nauplius abundance.The results of the model runs yielded larval survival rates from 60 to 100% if the mean size of nauplii species was taken and lower survival if prey consisted of early nauplius stages only.

Bottom-up long-term planning models generally consider low levels of spatial, temporal, and technical details to reduce associated computation. However, these details are required to capture spatial and temporal variability of Renewable Energy Sources (RESs) and perform harmonized dispatch of conventional generating units. In their absence, models may overestimate RESs uptake and underestimate the quantum of required flexible resources. This may create a false impression of sector decarbonization and the obtained capacity mix may result in frequent RES or load curtailment during real-time system operations. In this context, this study aims to improve upon the shortcomings of conventional planning approaches and develop a TIMES based planning model for the Indian power sector. The model adopts high spatial and temporal definitions of 5 regions and 288 sub-annual timeslices. RESs are categorized into sub-classes based on annual capacity factors to capture their intra-regional variations without further increasing the spatial resolution. Each month is represented by a day of chronological hourly resolution that facilitates the capture of RES temporal variations and incorporation of operational aspects of generating units such as minimum stable generation, ramp limits and partial load operation. The impact of these operational parameters on system planning is analysed to identify a trade-off between planning accuracy and computational complexity. The study is relevant for countries that are rigorously following their decarbonization plans with high penetration of variable RESs and have a similar trajectory as that of India. The results indicate that decarbonization levels can be better assessed if capacity mix and flexible resources are adequately valued by considering operational parameters at the planning stage for a power system dominated by low flexible generation. • A high temporal resolution multi-period multi-region Indian power sector planning model. • Considering operational aspects at planning stage to assess flexibility requirement. • Classification of RES to capture intra-regional variations without increasing spatial resolution. • Timeslices wise capacity factors of RES to capture their temporal variability. • Carbon tax to expedite decarbonization by promoting investment in green technologies. [ABSTRACT FROM AUTHOR]

The southern subspecies of the lesser rhea is distributed through the Argentine Patagonia and southern Chile. Habitat-loss and poaching were identified as the main threats to lesser rhea populations by the IUCN, which classified the species as ‘Least concern’ in 2014. Although Rhea pennata pennata is among the most conspicuous wildlife across the large Patagonian rangelands, the available estimates of abundance are scarce, mostly restricted to reports between 12 and 30 years old, and resulted from different surveying methods. Our purpose in this work was to obtain estimates of R. p. pennata abundance across different sites in the Argentine Patagonia, and to explore the main factors affecting the spatial variation in abundance. We surveyed over 4,000 km of line transects across six sites and obtained abundance estimates using the Distance sampling analysis. Also, we fitted restricted mixed models to evaluate the effects of different factors on the variation in R. p. pennata encounter rates among sites. We found that the abundance of R. p. pennata was very low either in the encounter rate (taking until 113 km of survey to detect a group of rheas depending on the site) or population density (between 0.0063 and 0.28 individuals.km-2). The occurrence of sheep ranching affected negatively the variation in the abundance of R. p. pennata among sites, whereas the availability of grassland habitat increased the chance of finding groups during the surveys. Line-transect surveys following the Distance sampling procedures are adequate to estimate encounter rates, although the low number of observations requires repeated surveys per site to obtain reliable estimates of animal density. Extended and sustained survey efforts and the implementation of a monitoring program are crucial to assess population trends of lesser rheas. Law enforcement to control poaching, increase in public awareness and an action plan to reduce threats are all necessary steps to conserve this emblematic species in Patagonia.

Fish assemblages of Ria de Aveiro coastal lagoon (Northwest Portugal) were studied from February 2012 and January 2013. Sampling were monthly conducted with a traditional beach-seine net (“chincha”) at 9 sites. Multivariate approach were used in order to analyse the spatial and temporal variation in fish community. A total of 58,201 fishes, weighting 249,540 g, were identified, representing 37 taxa and 21 families. Four taxa (Atherina spp., Dicentrarchus labrax, Liza spp., and Sardina pilchardus) were responsible for 94.7% and 85.4% of the total abundance, in number and weight. There were significant differences in fish community, in terms of fish number and weight, between sites and between months (ANOSIM, p

We have studied the heterogeneity of vertical profiles of biogeochemical components obtained from sediment core slicing. Sediment cores were collected in the intertidal zone of the Arcachon Bay and on the continental slope of the Bay of Biscay, at 550 and 1000 m depth. At each station of the Arcachon Bay, five 1 m-side zones were delimited at low tide. In each square, 3 cores were collected. Spatial heterogeneity on the continental slope was obtained from the study of 3 cores of multi-corer while 2 or 3 multi-corer deployments were used during the same oceanographic cruise. Similarity between profiles was determined to estimate the spatial heterogeneity at different scales. In the Arcachon Bay, results showed a spatial heterogeneity at a decimetre scale on apparently homogeneous areas. Despite the spatial variability, all the replicated profiles in Arcachon Bay sediments had similar trends, suggesting homogeneous benthic properties. However, a sampling with replicate cores handling is required for seasonal monitoring or study of biogeochemical mechanisms in coastal environments. We observe that the spatial variability on the continental margin of the Bay of Biscay is lower than in coastal environment of the Arcachon Bay. Heterogeneity is equivalent at a decimetre scale and at a hundred meters scale, which is the precision of the sampling positioning due to the drift of the boat and the tilt of the corer cable. In addition, our 10-year-long database for the Bay of Biscay showed that differences in the shape of profiles obtained in sediment cores collected at the same stations throughout this long period may not be interpreted in terms of evolution with time, because the observed variability is as high as the spatial heterogeneity. [ABSTRACT FROM AUTHOR]

Numerical models play a vital role in the SOFC (solid oxide fuel cell) research field; nonetheless, one can never rely on a non-validated model. Numerous models exist in the literature; however, they are utmost validated with the conventional I V (current-voltage) curves, whereas the temperature variations are almost never validated. In this study, we present spatial currents and temperatures computed by a numerical model and measured in-situ by the electrode-segmentation method in microtubular-SOFCs. By exploiting these numerical and experimental data, we evaluate the accuracy of the current distribution predicted by a numerical model validated with the conventional I V curve. This evaluation shows that the numerical model underestimates the current variations. Secondly, we assess the reliability of the temperature distribution predicted by the model verified with the conventional I V curve. This assessment reveals that the numerically computed temperatures substantially differ from the experimental results with the rising current density. Thirdly, we analyze the accuracy of the model-validation based on the I V curves and the temperature variations. This double validation approach improves the accuracy of the model. [ABSTRACT FROM AUTHOR]

We investigated the spatial variation of sediment nutrients in Lake Taihu, China. Surface sediments were collected at 106 sampling site, spaced about 5 km apart in Jan 2014. The results showed that the TN, TP, and TOC concentrations of surface sediments throughout Lake Taihu generally varied between 0.941 and 3.708 mg N/g dry weight (dw), 0.220 and 2.100 mg P/g dw, and 0.27% and 2.85% dw, respectively. There were significant sitespecific variations of nutrient concentrations among all lake regions and between regions. The mean concentrations of TN and TP in the northern region were higher than those of other regions, while the mean concentrations of TOC in the eastern region were higher than those of other regions. Algal bloom, wind-induced waves, and intra-habitat heterogeneity may explain these variations in nutrient concentrations in sediment. These baseline data are important in designing the management and conservation policies of the eutrophic lake. [ABSTRACT FROM AUTHOR]

Methods for the assessment of spatial variations in temporal trends (SVTT) are important tools for disease surveillance, which can help governments to formulate programs to prevent diseases, and measure the progress, impact, and efficacy of preventive efforts already in operation. The linear SVTT method is designed to detect areas with unusual different disease linear trends. In some situations, however, its estimation trend procedure can lead to wrong conclusions. In this article, the quadratic SVTT method is proposed as alternative of the linear SVTT method. The quadratic method provides better estimates of the real trends, and increases the power of detection in situations where the linear SVTT method fails. A performance comparison between the linear and quadratic methods is provided to help illustrate their respective properties. The quadratic method is applied to detect unusual different cervical cancer trends in white women in the United States, over the period 1969 to 1995. [ABSTRACT FROM AUTHOR]

The sediment-water exchange, spatial variations, and ecological risk of polycyclic aromatic hydrocarbons (PAHs) in the water and sediment of the Songhua River, China, were investigated and assessed in this paper. The fugacity fraction (ff ) was used to evaluate the sediment-water exchange of PAHs between the water and sediment. The results suggest that the values of ff decreased with an increasing number of PAH rings. The sediment acts as a secondary emission source for threeand four-ring PAHs, whereas five-ring PAHs were deposited in the sediment from the water. The high ff values of PAHs found in autumn suggest large releases of PAHs after abundant deposition in summer, and the lowest ff values of PAHs occurred in summer. The values were especially low for five- and six-ring PAHs, which exhibited considerable deposition from the water to the sediment. PAHs with low molecular weights showed strong variations, which were potentially caused by their active physical-chemical properties. Additionally, high molecular weight BaP displayed weak variations, increasing the potential risk in the sediment. The simplified qualitative method of Cwater/Csediment is useful for assessing variations in the sediment-water exchange. The relationships between Cwater/Csediment and ff were investigated by determining the Pearson correlation coefficients (R). The results exhibited a significant negative correlation, with R = -1.000 and P = 0.000 for Flu, R = -0.993 and P = 0.007 for Phe, R = -0.998 and P = 0.002 for FlA, and R = -0.971 and P = 0.029 for BaP. The coefficients of variation indicated that five-ring PAHs were more sensitive than three and four-ring PAHs. Thus, these low-ring PAHs can be easily exchanged between the sediment and the water. Additionally, the ecological risk of PAHs to aquatic organisms in the Songhua River is relatively low. [ABSTRACT FROM AUTHOR]

Birth weight is an important indicator of overall infant health and a strong predictor of infant morbidity and mortality, and low birth weight (LBW) is a leading cause of infant mortality in the United States. Numerous studies have examined the associations of birth weight with ambient air pollution, but the results were inconsistent. In this study, a spatial statistical technique, geographically weighted regression (GWR) is applied to explore the spatial variations in the associations of birth weight with concentrations of ozone (O 3 ) and fine particulate matter (PM 2.5 ) in the State of Georgia, USA adjusted for gestational age, parity, and six other socioeconomic, behavioral, and land use factors. The results show considerable spatial variations in the associations of birth weight with both pollutants. Significant positive, non-significant, and significant negative relationships between birth weight and concentrations of each air pollutant are all found in different parts of the study area, and the different types of the relationships are affected by the socioeconomic and urban characteristics of the communities where the births are located. The significant negative relationships between birth weight and O 3 indicate that O 3 is a significant risk factor of LBW and these associations are primarily located in less-urbanized communities. On the other hand, PM 2.5 is a significant risk factor of LBW in the more-urbanized communities with higher family income and education attainment. These findings suggest that environmental and health policies should be adjusted to address the different effects of air pollutants on birth outcomes across different types of communities to more effectively and efficiently improve birth outcomes. [ABSTRACT FROM AUTHOR]

Spatial variations of soil microbial activities and its relationship with environmental factors are very important for estimating regional soil ecosystem function. Based on field samplings in a typical saline groundwater-irrigated region, spatial variations of soil microbial metabolic activities were investigated. Combined with groundwater quality analysis, the relationship between microbial activities and water salinity was also studied. The results demonstrated that moderate spatial heterogeneity of soil microbial activities presented under the total dissolved solids (TDS) of groundwater ranging from 0.23 to 12.24 g L. Groundwater salinity and microbial activities had almost opposite distribution characteristics: slight saline water was mainly distributed in west Baqu and south Quanshan, while severe saline and briny water were dominant in east Baqu and west Huqu; however, total AWCD was higher in the east-center and southwest of Baqu and east Huqu, while it was lower in east Baqu and northwest Huqu. The results of correlation analyses demonstrated that high-salinity groundwater irrigation had significantly adverse effects on soil microbial activities. Major ions Ca, Mg, Cl, and SO in groundwater decisively influenced the results. Three carbon sources, carbohydrates, amines, and phenols, which had minor utilization rates in all irrigation districts, were extremely significantly affected by high-salinity groundwater irrigation. The results presented here offer an approach for diagnosing regional soil ecosystem function changes under saline water irrigation. [ABSTRACT FROM AUTHOR]

Heavy metal concentrations and distribution were studied in sediments, seawater, and molluscs, and the possible heavy metal sources in the coastal waters of Guangdong Province, South China were discussed. The results showed that the concentrations of Cu, Pb, Zn, and Cr in sediments in eastern coastal waters were generally higher than those in the western coastal waters. However, concentrations of most metals in seawater and molluscs in western waters were higher than in the eastern waters, which was tightly related to the local economics and urbanization development, especially, the different industrial structure in two regions. The main heavy metal sources were attributed to the industrial and agricultural effluent, domestic sewage, and even waste gas. Furthermore, heavy metal contamination assessment indicated that high contamination levels of Cd, Zn, and Pb occurred in sediments in local areas, especially in the bays and harbors. The metal accumulation levels by molluscs ranked following the order of Cd > Cu > As > Zn > Pb > Cr, and the ecological risks introduced by heavy metals in different areas were in the order of Zhanjiang > Yangmao > Shantou > Shanhui. [ABSTRACT FROM AUTHOR]