Community metabolism in a deep (stratified) tropical reservoir during a period of high water-level fluctuations

As long as lakes and reservoirs are an important component of the global carbon cycle, monitoring of their metabolism is required, especially in the tropics. In particular, the response of deep reservoirs to water-level fluctuations (WLF) is an understudied field. Here, we study community metabolism through oxygen dynamics in a deep monomictic reservoir where high WLF (~10 m) have recently occurred. Simultaneous monitoring of environmental variables and zooplankton dynamics was used to assess the effects of WLF on the metabolism of the eutrophic Valle de Bravo (VB) reservoir, where cyanobacteria blooms are frequent. Mean gross primary production (P _g) was high (2.2 g C m^?2 day^?1), but temporal variation of P _g was low except for a drastic reduction during circulation attributed to zooplankton grazing. The trophogenic layer showed net autotrophy on an annual basis, but turned to net heterotrophy during mixing, and furthermore when the whole water-column oxygen balance was calculated, considering the aphotic respiration (R _aphotic). The high total respiration resulting (3.1 g C m^?2 day^?1) is considered to be partly due to mixing enhanced by WLF. Net ecosystem production was equivalent to a net export of 3.4 mg CO₂?m^?2 day^?1 to the atmosphere. Low water levels are posed to intensify boundary-mixing events driven by the wind during the stratification in VB. Long-term monitoring showed changes in the planktonic community and a strong silicon decrease that matched with low water-level periods. The effects of low water-level on metabolism and planktonic community in VB suggest that water-level manipulation could be a useful management tool to promote phytoplankton groups other than cyanobacteria.     

Twenty-four Hour in situ Monitoring of Oxygen Production and Respiration of the Colonial Zoanthid Palythoa

The rates of oxygen production and respiration of the colonial zoanthid of the genus Palythoa were measured in situ at a depth of 3.4m (reef-edge) using an automated respirometer. The respirometer recorded changes in oxygen concentration of four samples of Palythoa enclosed in separate perspex chambers concurrently with light intensity (irradiance) readings every 20 seconds for 24 hours. Photosynthetic parameters (Pm(gross), Rd and Ik) were estimated from photosynthesis-irradiance (PI) curves generated for each of the four samples. Average instantaneous maximum gross photosynthetic (Pm(gross)) and respiration (Rd) rates obtained for Palythoa were 12.50µmo2l cm-2h-1 and - 4.24µmolO2cm-2h-1, giving a Pm(gross)/(-Rd) ratio of 2.92. The net 24 hour production (Pn24) at 3.4m, estimated by integrating the photokinetic parameters over 7 days of light data, was negative, resulting in a daily gross photosynthesis to respiration [Pg24/(-Rd24)] ratio of 0.77, while estimated 24 hour productivity at 1.4m gave a ratio of 1.13. This suggests that Palythoa would be able to sustain positive production at 1.4m but not at 3.4m.     

In-situ measurement of photosynthetic oxygen production in the water column

A novel hardware device is described to determine photosynthetic and respiratory oxygen uptake and release, respectively, in organisms in their natural habitat even under the rough conditions of their marine environment. Both macroalgae and phytoplankton can be utilized and oxygen exchange can be determined in solar radiation. The chamber can be used at or above the water surface or can be lowered into the water column. The data of oxygen concentration, irradiance and temperature are constantly monitored by a laptop computer and stored in disk files. The experimental data measured in some macroalgae as well as in phytoplankton indicate that the irradiance window for positive net photosynthetic oxygen production is fairly limited under natural conditions; at too low irradiances respiration exceeds photosynthesis and at too high irradiances photosynthesis is shut down by photoinhibition, at least in species not adapted to unattenuated solar radiation.     

The relative influence of nutrients and habitat on stream metabolism in agricultural streams

Stream metabolism was measured in 33 streams across a gradient of nutrient concentrations in four agricultural areas of the USA to determine the relative influence of nutrient concentrations and habitat on primary production (GPP) and respiration (CR-24). In conjunction with the stream metabolism estimates, water quality and algal biomass samples were collected, as was an assessment of habitat in the sampling reach. When data for all study areas were combined, there were no statistically significant relations between gross primary production or community respiration and any of the independent variables. However, significant regression models were developed for three study areas for GPP (r ² = 0.79–0.91) and CR-24 (r ² = 0.76–0.77). Various forms of nutrients (total phosphorus and area-weighted total nitrogen loading) were significant for predicting GPP in two study areas, with habitat variables important in seven significant models. Important physical variables included light availability, precipitation, basin area, and in-stream habitat cover. Both benthic and seston chlorophyll were not found to be important explanatory variables in any of the models; however, benthic ash-free dry weight was important in two models for GPP.     

Assessment of ecosystem health based on fish assemblages in the Wei River basin,China

In the Wei River basin, the ecosystem is gradually deteriorating due to the rapid growth of the population and the development of economies. It is thus important to assess the ecosystem health and take measures to restore the damaged ecosystem. In this study, an index of biotic integrity (IBI) for fish was developed to aid the conservation of the ecosystem based on a calibration data set. An index of water and habitat quality (IWHQ) was calculated based on environmental variables and habitat quality (QHEI) to identify the environmental degradation in the studied sites. The least degraded sites (IWHQ?≤?2; W1, W5, W10, W12, W13, W14, and W16) were chosen as the reference sites. Six metrics that are sensitive to environmental degradation were utilized to differentiate the reference and the impaired sites using statistical methods. These metrics included the number of species (P1), the total biomass (P2), the number of Cobitidae species (P8), the proportion of species in the middle and low tiers (P10), the proportion of individuals that were classified as sensitive species (P25), and number of individuals in the sample (P39). A continuous scoring method was used to score the six metrics, and four classes were defined to characterize the ecosystem health of the Wei River basin. The fact that the overall IBI scores were negatively correlated with the index of environmental quality (IWHQ) based on the validation data set indicated that the index should be useful for biomonitoring and the conservation of biodiversity. According to the results, more than half of the sites were classified as poor or very poor. The ecosystem health in the Wei River was better than that in the Jing River and the Beiluo River, and this study will be a great reference for water resources management and ecosystem restoration in the Wei River basin.     

Estimation of Biogas Production Rate in a Thermophilic UASB Reactor Using Artificial Neural Networks

Biogas production rate was modeled and estimated in a thermophilic upflow anaerobic sludge blanket digester. Data set covers a time period of both steady-state conditions and an abnormal operation condition, i.e., organic loading shocks. Multilayer neural networks topology was used as the modeling tool. Half of the experimental data were used for the training of the model and the remaining half were used for the testing stage. Model results were evaluated from the point of view of both steady conditions and abnormal conditions. It was seen from the time series trends of the estimated data that biogas production rates at steady state operation conditions were closely estimated by the model while the results for organic loading shocks were sufficiently followed. Artificial neural network models gave encouraging estimation results for the online control of thermophilic reactors.     

Ecological Monitoring and Assessment Network's Proposed Core Monitoring Variables: An Early Warning of Environmental Change

This article reports on the evaluation of existing ecologicalmonitoring variables from a variety of sources to select a suiteof core variables suitable for monitoring at the Ecological Monitoring and Assessment Network (EMAN) sites located acrossCanada. The purpose of EMAN is to promote the acquisition of relevant and consistent data that can be used to report on national trends and provide an early warning of ecosystem change. Existing monitoring variables were evaluated in twosteps. In the first step, three primary criteria were used to pre-screen preliminary variables. In the second step, a moredetailed evaluation considered twenty criteria based on dataquality, applicability, data collection methods, data analysisand interpretation, existing data and programs, and cost effectiveness to select a draft set of core monitoring variables(CMV). An ecological framework was developed to organize the CMVin a manner that permitted a gap analysis to confirm the CMV assessed a wide range of relevant environment components. Thesuite of CMV were then tested to determine their effectiveness in detecting ecosystem change caused by stressors with ecosystemresponses that have been well documented in the literature. Thisproject is part of a process lead by Environment Canada to select CMV to detect and track ecosystem change at EMAN sites. It is anticipated that the proposed CMV will undergo future discussion and development leading to the final selection of asuite of CMV for use at EMAN sites.     

重庆市代表性城区冬季和夏季苯系物来源解析

2009—2010年冬季和夏季在重庆市某代表性城区对大气中苯系物进行观测,并应用苯与甲苯特征比值(B/T)和因子分析法对苯系物来源进行了分析。结果表明,2种源分析方法具有较好的一致性,涂料及溶剂的生产与使用以及机动车尾气和油品使用是该研究区域苯系物的主要来源,贡献率分别为59.3%和16.2%。不同功能区、不同季节,苯系物来源构成有所差异。除受汽车尾气影响外,夏季受涂料、溶剂等生产使用的影响也较大,尤其是投诉集中点位、混合区和工业区;冬季,投诉集中点位主要受涂料、溶剂等生产使用等影响,其他点位可能还受到燃烧源的影响。     

An assessment of chemical contaminants in sediments from the St. Thomas East End Reserves,St. Thomas,USVI

The St. Thomas East End Reserves or STEER is located on the southeastern end of the island of St. Thomas, USVI. The STEER contains extensive mangroves and seagrass beds, along with coral reefs, lagoons, and cays. Within the watershed, however, are a large active landfill, numerous marinas, resorts, various commercial activities, an EPA Superfund Site, and residential areas, all of which have the potential to contribute pollutants to the STEER. As part of a project to develop an integrated assessment for the STEER, 185 chemical contaminants were analyzed in sediments from 24 sites. Higher levels of chemical contaminants were found in Mangrove Lagoon and Benner Bay in the western portion of the study area. The concentrations of polychlorinated biphenyls (PCBs), dichlorodiphenyltrichloroethane (DDT), zinc, copper, lead, and mercury were above a NOAA Effects Range-Low (ERL) sediment quality guideline at one or more sites, indicating impacts may be present in more sensitive species or life stages. Copper at one site in Benner Bay was above a NOAA Effects Range-Median (ERM) guideline indicating effects on benthic organisms were likely. The antifoulant boat hull ingredient tributyltin (TBT) was found at the third highest concentration in the history of NOAA’s National Status and Trends (NS&T) Program, which monitors the nation’s coastal and estuarine waters for chemical contaminants and bioeffects. The results from this project will provide resource managers with key information needed to make effective decisions affecting coral reef ecosystem health and gauge the efficacy of restoration activities.     

Quantifying the Effects of Forest Management Strategies on the Production of Forest Values: Timber,Carbon, Oxygen,Water, and Soil

Forest management practices alter forest structure quantified with ecosystem characteristics and values. In this paper, we utilized a forest management simulation model to assess the effects of three forest management strategies focusing on timber production, carbon sequestration, oxygen production, soil erosion, and water production of a forest management unit in Turkey. A forest simulation model “ETÇAPSimülasyon” was developed and used to project forest ecosystem development over 100 years under three forest management policies of timber-oriented forest management (TFM), multipurpose forest management (MFM), and no intervention (NI). The results showed that TFM strategy produced more timber and its net present value than MFM and NI strategies did. The amount of carbon sequestration and oxygen production potential was also found to be the highest with TFM strategy than with the MFM and NI strategies. Compared with the other strategies, however, NI strategy produced the highest amount of water production and soil losses over the planning horizon. The effects of a forest management strategy depend mainly on the initial forest structure, the rate of development and the level of forest management interventions. Therefore, forest dynamics under various management strategies should be explained before the final management decision. Understanding long-term effects of any management strategies on forest structure will provide the basis for better reaching the management objectives.     

RELATIONSHIP BETWEEN BASAL SOIL RESPIRATION RATE, TREE STAND AND SOIL CHARACTERISTICS IN BOREAL FORESTS

Soil respiration is considered to represent the overall microbial activity reflecting mineralisation of organic matter in soil. It is the most commonly used biological variable in soil studies. In long-term monitoring of forested areas, there is a need for reference values for soil microbiological variables in different forest ecosystems. In this study we describe the relationship between soil respiration rate, tree stand and humus chemical characteristics of boreal coniferous forests stands. Soil respiration rate was higher in pine dominated than in spruce dominated study sites when the result was calculated on dry matter bases. However, when calculated on area bases, the result was opposite and no difference was found when the soil respiration rate was calculated on organic carbon bases. Irrespective of the main tree species, the soil respiration rate was equal in different development classes but not equal in soil fertility classes, i.e. within forest site types based on differences in ground vegetation. Respiration rates were clearly higher in mesic sites when calculated on dry matter, C_org or area bases. However, soil respiration rate did not correlate with soil chemical variables indicating site fertility. Soil respiration rate on dry matter basis was at a lower level in the south and on more fertile sites, and on the other hand at a higher level in older stands and on sites with a thicker organic layer.     

Annual Growth of Four Pleurocarpous Moss Species and Their Applicability for Biomonitoring Heavy Metals

Data on the annual production per area of mosses used as biomonitors is of major importance in the calculation of heavy metal deposition rates derived from concentration values. Therefore, annual biomass production per area was determined for Hylocomium splendens (127 ± 61 gm^-2 yr^-1), Pleurozium schreberi (161 ± 56 gm^-2 yr^-1), Hypnum cupressiforme (188 ± 62 gm^-2 yr^-1) and Abientinella abietina (144 ± 45 gm^-2 yr^-1) at 54 sites in Austria. Annual increments were detected by morphological criteria. Central European populations of mosses produce on average 10% (H. splendens) and 39% (P. schreberi) more biomass per area than populations from Northern Europe or Canada.Due to great differences in biomass production at various sites it is suggested calculating heavy metal deposition rates by using mean values only for larger areas and to take only data from accurate measurements of annual growth rates for the calculations of the depositions at single sites.A comparison between heavy metal concentrations (As, Cd, Co, Cr, Cu, Fe, Hg, Mo, Ni, Pb, V, Zn) in H. cupressiforme and A. abietina showed comparable uptake efficiences for both mosses with somewhat higher values (quotient > 1) in H. cupressiforme. These results correspond with those obtained from other monitoring species (e.g. H. splendens).     

Estimation of the Soil Respiration Using the Constant Pressure Volumetric Respirometer and the Flow-Through Respirometer UNI-RES10

Among commonly employed methods of fast estimation of the soil biological activity a method of the oxygen consumption determination is used. The main goal of this research was an estimation of a soil respiratory metabolism using the constant pressure volumetric respirometer and also using the flow-through respirometer UNI-RES10.Soil respiration measurements were done using both types of respirometers in temperatures 10, 15, 20, 25, 30 and 35 °C, keeping up the constant humidity. The investigated soil was a soil humus belonged to organic soils from the Dziekanów Leny field. The soil respiration was also measured for 8 plant communities in Sudeten Mountains with various respiration intensity.After the experiments it was stated that both measuring instruments could be used for the soil metabolism evaluation. Readouts obtained from the UNI-RES10 respirometer are smaller then readouts when using the constant pressure volumetric respirometer. The flow-through respirometers have to be calibrated to obtain results comparable with these from volumetric ones. The volumetric and flow-through respirometry methods are useful for the comparative analysis of metabolism levels.     

城市生态环境安全评价研究

城市作为一种典型的复合生态系统。其生态环境具有相当的脆弱性，因此如何改善生态质量和维护生态安全已成为城市发展要解决的主要问题之一。本文从生态环境状况和生态安全2个方面对张家港市生态环境安全进行评价和研究，计算了生物丰度指数、植被覆盖指数、水网密度指数、土地退化指数、污染负荷指数等5个指标，计权确定该市生态环境质量指数为48．7，评价等级为一般；同时选择了资源安全评价、环境安全评价、生物安全评价和灾害安全评价等4个要素，确定该市生态系统安全指数为0．44。     

Temporal changes of soil respiration under different tree species

Soil respiration rates were measured monthly (from April 2007 to March 2008) under four adjacent coniferous plantation sites [Oriental spruce (Picea orientalis L.), Austrian pine (Pinus nigra Arnold), Turkish fir (Abies bornmulleriana L.), and Scots pine (Pinus sylvestris L.)] and adjacent natural Sessile oak forest (Quercus petraea L.) in Belgrad Forest—Istanbul/Turkey. Also, soil moisture, soil temperature, and fine root biomass were determined to identify the underlying environmental variables among sites which are most likely causing differences in soil respiration. Mean annual soil moisture was determined to be between 6.3 % and 8.1 %, and mean annual temperature ranged from 13.0°C to 14.2°C under all species. Mean annual fine root biomass changed between 368.09 g/m² and 883.71 g/m² indicating significant differences among species. Except May 2007, monthly soil respiration rates show significantly difference among species. However, focusing on tree species, differences of mean annual respiration rates did not differ significantly. Mean annual soil respiration ranged from 0.56 to 1.09 g?C/m²/day. The highest rates of soil respiration reached on autumn months and the lowest rates were determined on summer season. Soil temperature, soil moisture, and fine root biomass explain mean annual soil respiration rates at the highest under Austrian pine (R ²?=?0.562) and the lowest (R ²?=?0.223) under Turkish fir.     

气候变化下的新疆生态环境脆弱性评价

选取了脆弱性、适应能力作为影响新疆生态环境脆弱性的条件层，进一步筛选出海拔、地质环境、沙尘暴、人口密度、降水量、植被类型、生态保护政策7个因子作为成因指标层，并用专家打分法对每个指标赋予权重。将研究区剖分成195个评价单元格，借助G玛强大的数据管理功能，建立与空间数据和属性数据相互关联的生态环境脆弱性数据库；首次采用模糊数学层次分析法作为新疆生态环境脆弱性等级计算的数学模型，计算出新疆生态环境脆弱性等级，并借助CIS进行成果表达。     

Impact of degradation on nitrogen transformation in a forest ecosystem of India

A study was performed selecting one protected forest and an adjacent degraded forest ecosystem to quantify the impact of forest degradation on soil inorganic nitrogen, fine root production, nitrification, N-mineralization and microbial biomass N. There were marked seasonal variations of all the parameters in the upper 0–10 and lower 10–20 cm depths. The seasonal trend of net nitrification and net N-mineralization was reverse of that for inorganic nitrogen and microbial biomass N. Net nitrification, net N-mineralization and fine root biomass values were highest in both forests during rainy season. On contrary, inorganic nitrogen and microbial biomass N were highest during summer season. There was a marked impact of forest degradation on inorganic nitrogen, fine root production nitrification, N-mineralization and microbial biomass observed. Soil properties also varied with soil depth. Fine root biomass, nitrification, N-mineralization and microbial biomass N decreased significantly in higher soil depth. Degradation causes decline in mean seasonal fine root biomass in upper layer and in lower depth by 37% and 27%, respectively. The mean seasonal net nitrification and N-mineralization in upper depth decreased by 42% and 37%, respectively and in lower depth by 42.21% and 39% respectively. Similarly microbial biomass N also decreased by 31.16% in upper layer 33.19% in lower layer.     

Environmental Monotoring and Assessment Program: Current Status of Virginian Province (U.S.) Estuaries

Monitoring of indicators of the ecological condition of bays, tidal rivers, and estuaries within the Virginian Biogeographic Province (Cape Cod, Massachusetts to Cape Henry, Virginia) was conducted annually by the U.S. EPA's Environmental Monitoring and Assessment Program (EMAP) during the summer months of 1990 to 1993. Data were collected at 425 probability-based stations within the Province. Indicators monitored included water quality (temperature, salinity, water clarity, and dissolved oxygen concentration), sediment contamination, sediment toxicity, benthic community structure, fish community structure, and fish gross external pathology. Data were used to estimate the current status of the ecological condition of Virginian Province estuarine resources, and provide a baseline for identifying possible future changes. Estimates, with 95% confidence limits, of the areal extent of impacted resources within the Province are provided. Data are also presented by estuarine class (large estuaries, small estuarine systems, and large tidal rivers). Results show that, overall, approximately half of the estuarine waters of the Virginian Province can be classified as impacted based on multiple indicators, with hypoxia being the major stressor.     

Developing Alternative Forest Management Planning Strategies Incorporating Timber, Water and Carbon Values: An Examination of their Interactions

Currently, the integration of carbon and water values of forest ecosystems into forest management planning models has become increasingly important in sustainable forest management. This study focuses on developing a multiple-use forest management planning model to examine the interactions of timber and water production as well as net carbon sequestration in a forest ecosystem. Each forest value is functionally linked to stand structure and quantified economically. A number of forest management planning strategies varying in the amount of water, carbon, and timber targets and flows as constraints are developed and implemented in a linear programming (LP) environment. The outputs of each strategy are evaluated with a number of performance indicators such as standing timber volume, ending forest inventory, area harvested, and net present value (NPV) of water, timber, and carbon over time. Results showed that the cycling time of forest stands for renewal has important implications for timber, water, and carbon values. The management strategies indicated that net carbon sequestration can be attained at a significant cost in terms of foregone timber harvest and financial returns. The standing timber volumes and ending forest inventories were among the most important factors determining whether the forest constitutes a net carbon sink or source. Finally, the interactions among the forest values were generally found to be complementary, yet sometimes contradictory (i.e., negatively affecting each other), depending on the assumed relationship between forest values and stand structure.     

Use of leaf litter breakdown and macroinvertebrates to evaluate gradient of recovery in an acid mine impacted stream remediated with an active alkaline doser

The spatial congruence of chemical and biological recovery along an 18-km acid mine impaired stream was examined to evaluate the efficacy of treatment with an alkaline doser. Two methods were used to evaluate biological recovery: the biological structure of the benthic macroinvertebrate community and several ecosystem processing measures (leaf litter breakdown, microbial respiration rates) along the gradient of improved water chemistry. We found that the doser successfully reduced the acidity and lowered dissolved metals (Al, Fe, and Mn), but downstream improvements were not linear. Water chemistry was more variable, and precipitated metals were elevated in a 3–5-km “mixing zone” immediately downstream of the doser, then stabilized into a “recovery zone” 10–18 km below the doser. Macroinvertebrate communities exhibited a longitudinal pattern of recovery, but it did not exactly match the water chemistry gradient Taxonomic richness (number of families) recovered about 6.5 km downstream of the doser, while total abundance and % EPT taxa recovery were incomplete except at the most downstream site, 18 km away. The functional measures of ecosystem processes (leaf litter breakdown, microbial respiration of conditioned leaves, and shredder biomass) closely matched the measures of community structure and also showed a more modest longitudinal trend of biological recovery than expected based on pH and alkalinity. The measures of microbial respiration had added diagnostic value and indicated that biological recovery downstream of the doser is limited by factors other than habitat and acidity/alkalinity, perhaps episodes of AMD and/or impaired energy/nutrient inputs. A better understanding of the factors that govern spatial and temporal variations in acid mine contaminants, especially episodic events, will improve our ability to predict biological recovery after remediation.