Explaining the status and scope of ecotourism development for livelihood security: Andaman and Nicobar Islands,India

In the past few decades, the tourism sector has emerged as a significant economic activity in island nations, particularly in tropical regions. However, most of the tropical islands face similar constraints, viz., threat to natural resources, chances of biopiracy, impact of climate change, population pressure and unsystematic tourist management. Ecotourism, as a concept, envisages promoting tourism with due regard to natural environment and ecological sanctity of the destination. Archipelago of Andaman and Nicobar (A&N) Islands is one of picturesque geographical creation in the Bay of Bengal, India, in tropical region and is an emerging tourist destination. It was observed that around 2.2 lakhs national and international tourists visit the A&N Islands annually. With tourism sector as an integral component, the service sector with share of 56% in gross state domestic product dominates the island economy. An analysis based on primary survey from various stakeholders associated with the sector revealed that factors such as economy in travel and boarding, availability of tourist facilities and comfort, safety, etc. were major factors that determined the choice of the tourists that visited the islands. The weights given by the tourists to the natural sites in A&N Islands revealed that the landscape topped list with 91.6% score by the visitors followed by beaches (91.3%), scenery (86.5%), reserved forests (84.6%), limestone caves (66.3%) and coral sights (65.8%). Coral sites were given weight of 65.8% of tourists, cultural and historical tourism products 85.4% for the natural history. Similarly, historical sites (83.7%), museums (78.6%) and heritage sites (72.8%) were also among top cites attraction. Recent initiatives by the Andaman administration gives due to care to sustainably develop the tourism infrastructure of the islands to harness the potential of eco-friendly tourism in this picturesque tourist haven.     

溴代二恶英类的来源、检测与污染现状

多溴二苯并-对-二恶英和多溴二苯并呋喃(PBDD/Fs)具有与多氯二苯并-对-二恶英和多氯二苯并呋喃(PCDD/Fs)相似的结构和毒性,广泛存在于多种环境介质和生物体中,已经引起了广泛的关注.本文讨论了溴代阻燃剂(BFRs)生产和处理、电子垃圾拆解和热处理、垃圾焚烧和金属冶炼等工业热过程中PBDD/Fs排放水平及生成机制.其中,PBDD/Fs在BFRs产品中的含量较高,范围为0.257—49.605μg.g-1,在电子垃圾热解处理中气相和固相的含量分别可达到57 ng TEQ.kg-1和19000 ng TEQ.kg-1,而在冶金过程烟道气中的含量范围是0.14—1.5 ng TEQ.m-3.本文还总结了PBDD/F分析方法研究进展,包括样品前处理和仪器分析方法,提出了目前影响准确定量PBDD/Fs的因素以及相关的解决措施.归纳了当前环境介质和生物体及食品中PBDD/Fs的存在水平,指出电子垃圾热处理、垃圾焚烧等工业热过程已导致周边环境和生物体内PBDD/Fs的浓度增高.最后,介绍了国外与PBDD/Fs相关的控制措施和政策法规.     

胶州湾北岸潮间带三-(2,3-二溴丙基)异氰脲酸酯和六溴环十二烷的分布水平

对胶州湾北岸潮间带底泥样品中三-(2,3-二溴丙基)异氰脲酸酯(tris-(2,3-dibromopropyl)isocyanurate,TBC)和六溴环十二烷(hexabromocyclododecanes,HBCDs)的3种同分异构体(α-HBCD、β-HBCD、γ-HBCD)的分布水平进行分析,结合索氏提取与Waters ACQUITY UPLC-MS-MS超高效液相色谱-质谱联用仪检测出TBC和HBCDs的3种同分异构体α-HBCD、β-HBCD、γ-HBCD,浓度范围分别为1.20~5.62 ng·g~(-1)(干重)、1.18~1.54 ng·g~(-1)(干重)、1.50~1.85 ng·g~(-1)(干重)、2.12~2.99 ng·g~(-1)(干重)。其中,TBC在河流入海口处的浓度较高,γ-HBCD占ΣHBCDs的比例(44.75%)最高,且相关性分析表明TBC和HBCDs可能有相似的污染来源。最近,斯德哥尔摩公约持久性有机污染物审查委员会(POPRC)将HBCDs列入POPs名单加以限制使用,这表明其具有一定的环境风险,未来可能对环境和人类健康造成的危害应该引起足够的重视。     

Sensitivity analysis of the two dimensional application of the Generic Ecological Model (GEM) to algal bloom prediction in the North Sea

Harmful algae can cause damage to co-existing organisms, tourism and farmers. Accurate predictions of algal future composition and abundance as well as when and where algal blooms may occur could help early warning and mitigating. The Generic Ecological Model is an instrument that can be applied to any water system (fresh, transitional or coastal) to calculate the primary production, chlorophyll-a concentration and phytoplankton species composition. It consists of physical, chemical and ecological model components which are coupled together to build one generic and flexible modelling tool. In this paper the model has been analyzed to assess sensitivity of the simulated chlorophyll-a concentration to a subset of ecologically significant input factors. Only a small number of approaches could be considered as suitable for several reasons including the model complexity, engagement of numerous interacting parameters and relatively long time of a single simulation. Thus, sensitivity analysis has been carried out with the use of the Morris method and later enriched by the computation of the correlation ratios of the selected parameters on the model response at more than a few locations in the modelled area. The obtained results are in agreement with expert knowledge of the ecological processes in the North Sea and correspond well with local characteristics.     

Molecular and ecological characterisation of plant populations from limed and metal-contaminated sites in Northern Ontario (Canada): ISSR analysis of white birch (Betula papyrifera) populations

The Greater Sudbury region in Northern Ontario is known as one of Canada's most ecologically disturbed regions because of the effects of heavy metal pollution. The main objectives of the present study were to assess the effects of soil liming of sites contaminated with metals on species richness and abundance, forest health in general, and to determine the level of genetic variability in white birch populations from Northern Ontario. Shannon-Wiener diversity index and tree species richness values were higher in populations from limed and control sites compared to the unlimed areas. A significant improvement in forest population health (measured using a scale of 1 to 10) in limed sites over the unlimed areas was observed. Key results revealed no significant difference for metal content in white birch (Betula papyrifera) leaves from limed compared to unlimed sites. But higher levels of Al, Ca, Mg, Mn, Ni, Sr, and Zn in leaves compared to the bioavailable amount in soil were observed. The levels of genetic variability in white birch populations were moderate to high, ranging from 30% to 79% of polymorphic loci. A high level of genetic variability such as observed in the present study is usually associated with long term sustainability in plant populations. No association was found between metal accumulation in soil or plants and the levels of genetic variation.     

Genetic analysis of Pinus banksiana and Pinus resinosa populations from stressed sites contaminated with metals in Northern Ontario (Canada)

The Sudbury region in Canada is known for the mining and smelting of high-sulphide ores containing nickel, copper, iron and precious metals. Although reports provide information of metal levels in soil and plants, knowledge of genetic effects on plants growing in contaminated areas is limited. The main objective of this study was to characterise the level of genetic diversity in Pinus banksiana and Pinus resinosa populations from the Sudbury (Ontario) region using microsatellite markers. Soil samples were analysed for concentrations of metals. High levels of metal contents in soil were observed within short distances of the smelter compared with control sites. The level of genetic diversity was very low for P. resinosa populations and moderate for P. banksiana samples. Observed heterozygosity was fivefold higher in P. banksiana populations than P. resinosa populations studied. Overall, 17 and 24% of the total genetic diversity were attributed to differences among populations for P. banksiana and P. resinosa, respectively. In general, the inbreeding was significantly higher in P. resinosa populations than P. banksiana populations and gene flows were relatively low in both species. No significant trend of the levels of genetic diversity for metal contaminated and uncontaminated sites was found.     

持续提高黄土高原植被水土保持功能的配套技术(I)森林保持水土的条件

阐述了森林保持水土的条件 ,即良好的林分结构、必要的面积比例和一定的林龄 ,揭示了成林过程中水土保持功能的动态变化 ,为研究防护林体系水土保持功能持续提高技术提供了理论基础     

Application of cluster analysis to the geochemistry zonation of the estuary waters in the Tinto and Odiel rivers (Huelva,Spain)

The combination of acid water from mines, industrial effluents and sea water plays a determining role in the evolutionary process of the chemical makeup of the water in the estuary of the Tinto and Odiel rivers. This estuary is in the southwest of the Iberian Peninsula and is one of the estuarine systems on the northwest coast of the Gulf of Cádiz. From the statistical treatment of data obtained by analyzing samples of water from this system, which is affected by industrial and mining pollution processes, we can see how the sampling points studied form two large groups depending on whether they receive tidal or fluvial influences. Fluvial input contributes acid water with high concentrations of heavy metal, whereas industrial effluents are responsible for the presence of phosphates, silica and other nutrients. The estuarine system of the Tinto and Odiel Rivers can be divided into three areas – the Tinto estuary, the Odiel estuary and the area of confluence – based on the physical – chemical characteristics of the water.     

Probability distributions of arsenic in soil from brownfield sites in Beijing (China): statistical characterization of the background populations and implications for site assessment studies

A probabilistic analysis was performed on soil arsenic concentration data from 4 brownfield sites at Beijing (Chaoyang and Haidian Districts), involved in environmental assessment studies. The available data sets were processed to provide a statistical characterization of the background populations and differentiate “anomalous data” from the natural range of variation of arsenic concentrations in soil. The site-specific background distributions and the existing wide-scale background values defined for the Beijing area were compared, discussing related implications for the definition of metal contamination soil screening levels (SSLs) in site assessment studies. The statistical analysis of As data sets discriminated site-specific background populations, encompassing 88% to 94% of the sample data, from outliers values, associated with either subsoil natural enrichments or possible anthropogenic releases. Upper Baseline Concentration (UBC) limits (+ 2σ level), including most of the site-specific metal background variability, were derived based on the statistical characterization of the background populations. Sites in the Chaoyang South District area had UBC values in the range 10.4–12.6 mg·kg^-1. These ranges provide meaningful SSL values to be adopted for As in local site assessment studies. Using the wide-scale background value for the Beijing area would have erroneously classified most of the areas in the subject sites as potentially contaminated.     

An improved approach for identifying suitable habitat of Sambar Deer (Cervus unicolor Kerr) using ecological niche analysis and environmental categorization: Case study at Phu-Khieo Wildlife Sanctuary,Thailand

To assess habitat suitability (HS) has become an increasingly important component of species/ecosystem management. HS assessment is usually based on presence/absence data related to environmental variables. An exception is Ecological Niche Factor Analysis (ENFA), which uses only presence data and which does not require absence data. Most HS modelling is based on input of all environmental parameters (EnvPs) without environmental categorization, and does not take into account species interaction and human intervention for an assessment of HS. In this study, the EnvPs are arranged into four features: geographical features, consumable features, human-factor features, and species–human interaction features. These features affect species with respect to movement, behavior and activity. The research presented here has used an already existing dataset of wildlife species and human activities/visitations, which was compiled during 2004–2006 in Phu-Khieo Wildlife Sanctuary (PKWS). Data from 2004 to 2005 were used to produce HS maps, while the data of 2006 were used for evaluating these maps. Sambar Deer (SD) was chosen to predict its own HS. Six HS maps of SD were analyzed using ENFA in the following manner: (1) inputting all EnvPs together, (2) inputting each feature, separately and (3) integrating the four resulting HS maps by model averaging. It was found that model averaging was capable of predicting the HS of SD more reliably than the model with all EnvPs put in together. Multiple linear regressions were computed between the HS map with all EnvPs and the HS maps with each feature. The results show that the HS map with only geographical features has the highest coefficient value (0.516) while the coefficient values of other HS maps with the above features are 0.296, 0.53 and −0.006, respectively. This indicates that the geographical features have an influence on the other features and that the predicting power is lower when all EnvPs are computed in the ENFA model. Therefore, in order to generate HS, each feature should at first be put into the model separately. Following that, the average of all features will be combined.     

Identifying key life-traits for the dynamics and gene flow in a weedy crop relative: Sensitivity analysis of the GeneSys simulation model for weed beet (Beta vulgaris ssp. vulgaris)

The benefits of genetically modified herbicide-tolerant (GMHT) sugar beet (Beta vulgaris) varieties stem from their presumed ability to improve weed control and reduce its cost, particularly targeting weed beet, a harmful annual weedy form of the genus Beta (i.e. B. vulgaris ssp. vulgaris) frequent in sugar beet fields. As weed beet is totally interfertile with sugar beet, it is thus likely to inherit the herbicide-tolerance transgene through pollen-mediated gene flow. Hence, the foreseeable advent of HT weed beet populations is a serious threat to the sustainability of GM sugar beet cropping systems. For studying and quantifying the long-term effects of cropping system components (crop succession and cultivation techniques) on weed beet population dynamics and gene flow, we developed a biophysical process-based model called GeneSys-Beet in a previous study. In the present paper, the model was employed to identify and rank the weed life-traits as function of their effect on weed beet densities and genotypes, using a global sensitivity analysis to model parameters. Monte Carlo simulations with simultaneous randomization of all life-trait parameters were carried out in three cropping systems contrasting for their risk for infestation by HT weed beets. Simulated weed plants and bolters (i.e. beet plants with flowering and seed-producing stems) were then analysed with regression models as a function of model parameters to rank processes and life-traits and quantify their effects. Key parameters were those determining the timing and success of growth, development, seed maturation and the physiological end of seed production. Timing parameters were usually more important than success parameters, showing for instance that optimal timing of weed management operations is more important than its exact efficacy. The ranking of life-traits though depended on the cropping system and, to a lesser extent, on the target variable (i.e. GM weeds vs. total weed population). For instance, post-emergence parameters were crucial in rotations with frequent sugar beet crops whereas pre-emergence parameters were most important when sugar beet was rare. In the rotations with frequent sugar beet and insufficient weed control, interactions between traits were small, indicating diverse populations with contrasted traits could prosper. Conversely, when sugar beet was rare and weed control optimal, traits had little impact individually, indicating that a small number of optimal combinations of traits would be successful. Based on the analysis of sugar beet parameters and genetic traits, advice for the future selection of sugar beet varieties was also given. In climatic conditions similar to those used here, the priority should be given to limiting the presence of hybrid seeds in seed lots rather than decreasing varietal sensitivity to vernalization.     

Use of Mytilus galloprovincialis and Tapes philippinarum as sentinel organisms for the development of a biosurveillance program in the Pialassa Baiona coastal lagoon (Ravenna, Italy)

The Pialassa Baiona is an intertidal lagoon located north from the town of Ravenna (Italy). It shows a certain degree of contamination caused by past uncontrolled discharges, and we aim at developing a bioassessment program to be used for future monitoring and conservation plans. A battery of six biomarkers (lysosome membrane stability, lipofuscin and neutral lipid accumulation, hsp70 expression, metallothionein levels and acetylcholinesterase (AChE) activity) was investigated in Mytilus galloprovincialis transplanted for 30 days in different sites. Tapes philippinarum are widely distributed within the lagoon, and we explored the possibility to use resident clams for future biosurveillance programs. Adenylyl cyclase (ACase) activity was also assessed in tissues of both bivalves as a future possible biomarker. Taken together, our results indicate that mussels are suitable sentinel organisms also within such a peculiar environment; alteration of four biomarkers was observed in tissues of mussels transplanted in two sites out of the five analyzed, indicating their low water quality. T. philippinarum showed a barely detectable AChE activity and absence of neutral lipids in digestive glands, therefore appeared unsuitable for our purpose, at least using the selected battery of biomarkers. ACase activity was not different among animals collected from the different sites.     

褐菖鲉肝HSC70基因的环介导等温扩增技术的建立及对石油污染的剂量效应研究

从褐菖鲉肝脏中克隆了热休克蛋白HSC70基因,利用环介导等温扩增技术(loop-mediated isothermal amplification,LAMP)建立HSC70基因的定量检测方法。为检测该方法的可行性,将褐菖鲉分别暴露于石油水溶性成分(water-soluble fraction,WSF) 20、60、180 μg·L^-1 1 d后,利用real-time PCR及LAMP技术同时测定褐菖鲉肝HSC70 mRNA表达量,两种方法测定结果基本一致,证实LAMP技术可用于褐菖鲉肝HSC70基因的定量。为更细致了解石油WSF影响褐菖鲉肝脏HSC70基因表达的剂量－效应关系,将褐菖鲉分别暴露于25、50、75、100、125、150、175 μg·L^-1 WSF中,5天后采样,用LAMP技术定量检测HSC70 mRNA。结果表明,HSC70 mRNA表达量在50 μg·L^-1浓度组即被显著诱导,在75 μg·L^-1浓度下达到最大值,这说明褐菖鲉肝HSC70基因对石油污染较敏感,有潜力作为海洋石油污染的生物标志物。