Petroleum hydrocarbons, mainly consisting of n-alkanes and polycyclic aromatic hydrocarbons (PAHs), are considered as priority pollutants and biohazards in the environment, eventually affecting the ecosystem and human health. Though many previous studies have investigated the change of bacterial community and alkane degraders during the degradation of petroleum hydrocarbons, there is still lack of understanding on the impacts of soil alkane contamination level. In the present study, microcosms with different n-alkane contamination (1%, 3% and 5%) were set up and our results indicated a complete alkane degradation after 30 and 50 days in 1%- and 3%-alkane treatments, respectively. In all the treatments, alkanes with medium-chain length (C11-C14) were preferentially degraded by soil microbes, followed by C27-alkane in 3% and 5% treatments. Alkane contamination level slightly altered soil bacterial community, and the main change was the presence and abundance of dominant alkane degraders. Thermogemmatisporaceae, Gemmataceae and Thermodesulfovibrionaceae were highly related to the degradation of C14- and C27-alkanes in 5% treatment, but linked to alkanes with medium-chain (C11-C18) in 1% treatment and C21-alkane in 3% treatment, respectively. Additionally, we compared the abundance of three alkane-monooxygenase genes, e.g., alk_A, alk_P and alk_R. The abundance of alk_R gene was highest in soils, and alk_P gene was more correlated with alkane degradation efficiency, especially in 5% treatment. Our results suggested that alkane contamination level showed non-negligible effects on soil bacterial communities to some extents, and particularly shaped alkane degraders and degrading genes significantly. This study provides a better understanding on the response of alkane degraders and bacterial communities to soil alkane concentrations, which affects their biodegradation process.
This article deals with the development and application of a cartographic database for a synoptic Geographic Information System (GIS). Its purpose is the storage and evaluation of the heterogeneous datasets of the interdisciplinary scientific research program MADAM (Mangrove Dynamics and Management), which aims to develop recommendations for a tailored integrated coastal management scheme for the mangrove ecosystem at Bragança (North Brazil). The article describes the integration of remote sensing data, aerial photographs, as well as point data provided by fieldwork from different scientific fields. Using various innovative processing techniques and different scale-resolution levels, an assessment of temporal–spatial changes of the mangrove peninsula and the adjacent rural socioeconomic impact area, the type of mangrove structure, as well as a land-use cover analyses was undertaken. The definition of the spatial level of detail was found to be a major issue in the development of the GIS, as well as during the processing and analysis procedures. A division between strong and weak patterns in the mangrove ecosystem could be made, which implies different management measures and sets of specific interdisciplinary studies and monitoring at hierarchical scales. 相似文献
The dugong is classified as vulnerable to extinction by the World Conservation Union on the basis of declines in area or extent
of occupancy, habitat quality, and actual or potential levels of exploitation. In Thailand, the largest groups of dugongs
are found near islands off the Andaman coast. The authors conducted a 2-year project that included dugong population and habitat
assessment as well as interviews with local fishers. The results indicate declining populations of dugongs. The largest threat
to dugongs is incidental catch in fishing nets. The numbers of deaths reported place the dugong population along the Andaman
Sea in danger of extirpation. Other threats include seagrass destruction both from fishing and coastal development and the
use of dugong parts for medicinal purposes. Villagers still show strong ties with dugongs, and the majority favor establishing
more large protected areas for the species. These should arise from an integrated national dugong and seagrass conservation
strategy formulated by concerned stakeholders from government, nongovernmental organizations, scientists, and local communities.
The strategy needs to be both top down and bottom up in its formation to balance existing and potential uses as well as conflicts
between artisanal and commercial fishers. The strategy should include the development of educational materials and enforceable
regulations, as well as the designation of community-protected seagrass beds and a system of dugong sanctuaries along the
Andaman coast. An integrated management plan is needed urgently, with the continued input of concerned scientists, to monitor
and increase knowledge of dugong behavior and distribution. 相似文献
There is an increasing demand from conservation agencies for site-specific critical loads (CL); unfortunately, there is often
very little specific information on a site to determine the important parameters needed to calculate the CL or on the spatial
location of the “designated feature” in a site. Determining the most appropriate CL therefore involves using expert judegement
to make decisions with incomplete and uncertain information. Endorsement Theory (Cohen, 1985) and Dempster–Shafer statistics (Dempster, 1967; Shafer, 1976) are, respectively, a decision-theoretic and a statistical technique for reasoning under those conditions (uncertainty and
incompletness). A key reason for applying these techniques is that they make expert opinion explicit and available for scrutiny.
Both techniques have been applied to the problem of setting an appropriate site specific CL, using heathland sites as a case
study. Inital findings are encouraging; the uncertainty in expert judgement is made explict, the end results are intuitively
reasonable and the methodology apparently acceptable to decision makers. 相似文献
This short article reports on commercial composting slurry now available in India. The slurry culture containing active decomposer bacteria and enzymes is spread on the surface of the garbage and inside the heaps in windrows constructed at waste dump sites. The microbes produce hydrolysing enzymes to break down the long chain complexes of the organic substrates. About 1 kg of slurry culture in the colloidal emulsion form mixed with 20 litres of water is sprayed on about 3 m of solid waste. For one tonne of waste 200 litres of slurry water are needed. The waste heaps are turned once in 7 to 10 days for proper aeration and the inoculant slurry is sprayed at each turning to enhance decomposition and to maintain the proper moisture level which is usually 45–55 percent. The process is exothermic and the windrows reach a temperature of 70°–75°C within 24–36 hours, killing many harmful pathogens and repelling all birds, stray animals, flies and mosquitos from the dump site. The entire process is completed within 4–6 weeks and as the decomposition is completed the temperature falls to normal. About 40–45 percent of the undecomposed matter is of recyclable materials, and of the rest about 25–30 percent requires safe disposal in adjacent land-fill sites. The problem of emission from tip gases and of leachate and discharge of effluents is greatly reduced. The foul odor of the tip also disappears within 2–3 days of sanitization. The compost produced is rich in sodium, potassium and phosphorous as well as certain trace elements, and contains active nitrogen fixing and phosphate solubulising bacteria. 相似文献
Earlier papers indicated that the first incident of green discoloration in oysters (Crassostrea gigas) and the mass mortality observed in 1986 along the Taiwan Erhjin Chi coastal area were caused by the higher contents of total copper and copper species (mainly bioavailable and free ion) in sea water. the copper in sea water would be sorbed by suspended matter and transferred to sediments, and the copper in the sediments would also be desorbed to sea water. Processes of copper adsorption and desorption are the major factors influencing the contents of total copper and copper species in sea water and sediments. in this study, the Erhjin Chi sediments were mixed with sea water by a shaker technique. When the mixture was shaken for one hour, analogous to tidal mixing in estuaries, only copper desorption from sediments was observed. If the shaking time is increased for more than 3 hours, the copper released from the sediments was resorbed to the remaining solid phases. the higher the contents of mud (91.71%) and total copper (701 mg kg-1) in sediments, the higher the copper desorption rate (1.86 ppm hr-1) and copper adsorption rate (0.50 ppm hr-1) were observed. in sediments containing lower mud (0.80%) and lower copper (43.5 mg kg-1), the copper desorption and adsorption rates were 0.83 ppm hr-1 and 0.22 ppm hr-1, respectively. the interactions among the total copper and copper species in sea water and sediments, chemical and ecological parameters, and copper bioaccumulation in oysters in the Erhjin Chi estuarine and coastal area are also discussed. 相似文献
Abstract: Evaluation of anuran populations is commonly based on calling surveys that report categorical abundance index data. I present a statistical model for abundance index data that are observations representing ordered abundance classes (e.g., none, some, many). The proposed model provides a formal treatment of detection probability, factors that affect detection, and variation in abundance. The model can be viewed as a generalization of that proposed by MacKenzie et al. (2002) for estimating site-occupancy rates in that it allows for more than two abundance classes. Because the abundance distribution is characterized by multiple abundance classes, it may be more sensitive to subtle changes in the underlying abundance that may go undetected with simple occupancy estimates under which sites are characterized merely as occupied or not. The method is most immediately applicable to surveys of anurans in which index data related to the intensity of calling activity are collected. I applied the proposed method to calling index data from the green frog ( Rana clamitans ) collected as part of the North American Amphibian Monitoring Program. The best model indicated considerable variation in detectability over time and in response to temperature. The resulting adjusted (for detectability) abundance-state distribution demonstrates the negative bias in abundance state obtained from simplistic summaries of calling index data that disregard these sources of variation in detectability. 相似文献