Potential fluorosis problems around Chandidongri, Madhya Pradesh, India

The area around Chandidongri (latitude 21 deg 02 prime N and longitude 80 deg 37 prime E) is covered by granitic gneisses and amphibolites of the Amgaon Group and granites and rhyolites of the Dongargarh super group. The granites which cover the major portion of the area have been intruded into by a number of dolerite and epidiorite dykes and traversed by a few N–S trending shear zones. A well-known fluorite deposit is located along the Lamtidongri–Kotnapani shear zone. Besides this deposit, the authors have located a few occurrences of fluorite along other shear zones where epidiorite dykes are in association with granites. A number of cases of fluorosis have been reported from those parts of Rajasthan and Andhra Pradesh which are covered by granitic rocks and also from the eastern parts of Bhandara district which are adjacent to the area described here. The Chandidongri area is mainly covered by granitic rocks, which at places show the presence of fluorite mineralisation. Taking into consideration these facts, the authors have investigated the area to study the cases of fluorosis if any, and the impact of geology and fluorite mining on the water quality in this region. During the survey, we have not come across any cases of fluorosis in this region. The pH is more than 7 and the fluoride concentration is within the permissible limit.     

Knowledge gain and behavioral change in citizen-science programs

Citizen-science programs are often touted as useful for advancing conservation literacy, scientific knowledge, and increasing scientific-reasoning skills among the public. Guidelines for collaboration among scientists and the public are lacking and the extent to which these citizen-science initiatives change behavior is relatively unstudied. Over two years, we studied 82 participants in a three-day program that included education about non-native invasive plants and collection of data on the occurrence of those plants. Volunteers were given background knowledge about invasive plant ecology and trained on a specific protocol for collecting invasive plant data. They then collected data and later gathered as a group to analyze data and discuss responsible environmental behavior with respect to invasive plants. We tested whether participants without experience in plant identification and with little knowledge of invasive plants increased their knowledge of invasive species ecology, participation increased knowledge of scientific methods, and participation affected behavior. Knowledge of invasive plants increased on average 24%, but participation was insufficient to increase understanding of how scientific research is conducted. Participants reported increased ability to recognize invasive plants and increased awareness of effects of invasive plants on the environment, but this translated into little change in behavior regarding invasive plants. Potential conflicts between scientific goals, educational goals, and the motivation of participants must be considered during program design.     

Monitoring,imperfect detection,and risk optimization of a Tasmanian devil insurance population

Most species are imperfectly detected during biological surveys, which creates uncertainty around their abundance or presence at a given location. Decision makers managing threatened or pest species are regularly faced with this uncertainty. Wildlife diseases can drive species to extinction; thus, managing species with disease is an important part of conservation. Devil facial tumor disease (DFTD) is one such disease that led to the listing of the Tasmanian devil (Sarcophilus harrisii) as endangered. Managers aim to maintain devils in the wild by establishing disease‐free insurance populations at isolated sites. Often a resident DFTD‐affected population must first be removed. In a successful collaboration between decision scientists and wildlife managers, we used an accessible population model to inform monitoring decisions and facilitate the establishment of an insurance population of devils on Forestier Peninsula. We used a Bayesian catch‐effort model to estimate population size of a diseased population from removal and camera trap data. We also analyzed the costs and benefits of declaring the area disease‐free prior to reintroduction and establishment of a healthy insurance population. After the monitoring session in May–June 2015, the probability that all devils had been successfully removed was close to 1, even when we accounted for a possible introduction of a devil to the site. Given this high probability and the baseline cost of declaring population absence prematurely, we found it was not cost‐effective to carry out any additional monitoring before introducing the insurance population. Considering these results within the broader context of Tasmanian devil management, managers ultimately decided to implement an additional monitoring session before the introduction. This was a conservative decision that accounted for uncertainty in model estimates and for the broader nonmonetary costs of mistakenly declaring the area disease‐free.     

Application of a temperature-dependent von Bertalanffy growth model to bullhead (Cottus gobio)

The most studied and commonly applied model of fish growth is the von Bertalanffy model. However, this model does not take water temperature into account, which is one of the most important environmental factors affecting the life cycle of fish, as many physiological processes that determine growth, e.g. metabolic rate and oxygen supply, are directly influenced by temperature. In the present study we propose a version of the von Bertalanffy growth model that includes mean annual water temperatures by correlating the growth coefficient, k, explicitly and the asymptotic length, L_∞, implicitly to water temperature. All relationships include parameters with an obvious biological relevance that makes them easier to identify. The model is used to fit growth data of bullhead (Cottus gobio) at different locations in the Bez River network (Drme, France). We show that temperature explains much of the growth variability at the different sampling sites of the network.     

上甸子区域本底站大气痕量活性气体的变化规律

利用TE公司C系列气体监测仪,于2005年1月1日—12月31日,在北京上甸子区域大气本底站连续观测SO2,CO,NO-NO2-NOx和O3的浓度.分析了晴天、雨天、霾天和沙尘天气条件下,不同气体的变化特征及影响因素.结果表明:(1)痕量活性气体在不同天气条件下具有不同的浓度及日变化特征,晴天和雨天日变化最小,而霾天日变化最大;(2)风向和风速是影响上甸子气体浓度变化的重要因素,同时,夏季降水对SO2和NOx的去除作用较为明显;(3)上甸子O3白天最大值与夜间最小值的比值低于4,远低于城区,不利于光化学污染的形成.     

Evaluating the Quality of Citizen‐Scientist Data on Pollinator Communities

Abstract: Concerns about pollinator declines have grown in recent years, yet the ability to detect changes in abundance, taxonomic richness, and composition of pollinator communities is hampered severely by the lack of data over space and time. Citizen scientists may be able to extend the spatial and temporal extent of pollinator monitoring programs. We developed a citizen‐science monitoring protocol in which we trained 13 citizen scientists to observe and classify floral visitors at the resolution of orders or super families (e.g., bee, wasp, fly) and at finer resolution within bees (superfamily Apoidea) only. We evaluated the protocol by comparing data collected simultaneously at 17 sites by citizen scientists (observational data set) and by professionals (specimen‐based data set). The sites differed with respect to the presence and age of hedgerows planted to improve habitat quality for pollinators. We found significant, positive correlations among the two data sets for higher level taxonomic composition, honey bee (Apis mellifera) abundance, non‐Apis bee abundance, bee richness, and bee community similarity. Results for both data sets also showed similar trends (or lack thereof) in these metrics among sites differing in the presence and age of hedgerows. Nevertheless, citizen scientists did not observe approximately half of the bee groups collected by professional scientists at the same sites. Thus, the utility of citizen‐science observational data may be restricted to detection of community‐level changes in abundance, richness, or similarity over space and time, and citizen‐science observations may not reliably reflect the abundance or frequency of occurrence of specific pollinator species or groups.     

农牧交错区土地荒漠化与生物多样性研究--以宁夏盐池县为例

采用α-多样性指数即Shannon-Wiener指数、Simpson指数、群落均匀度指数Jsw和Js和β-多样性指数(相似性系数Cs)研究宁夏盐池县草原群落在不同荒漠化治理措施下(人工封育、退耕还林、撂荒)生物多样性变化.2002和2003年固定样地观测数据表明,到2003年,各样地的α-多样性指数均有不同程度的提高,以撂荒地和退耕还林地α-多样性变化较大.Simpson指数、Js指数变化最为明显,分别平均增加了140%、109%,Shannon-Wiener指数、Jsw指数次之,分别增加67%、49%.人工封育不同处理区α-多样性指数也有较大变化,由核心＞边缘＞外围,变为边缘＞核心＞外围排列次序.β-多样性的研究结果同样表明,各样地的种类组成发生了一定的变化.文章还进一步分析了引起生物多样性变化的主要原因.     

单颗粒气溶胶质谱和手工监测分析环境空气颗粒物特征组分的比对

在北京典型城市混合功能区点位选择8月和12月,开展手工采样-离线分析技术与在线单颗粒气溶胶质谱仪（SPAMS）测定环境空气颗粒物及其特征组分的比对研究,重点比较OC/EC、水溶性离子和元素等30余种特征组分的监测结果,考察在线监测设备在获得的颗粒物源解析特征组分上与传统手工方式的可比性.结果表明,SPAMS在不同季节测得的颗粒物数浓度与手工滤膜采样得到的颗粒物质量浓度存在一定的可比性;在线和手工方法监测颗粒物中OC、K+、NH4+、Na+、NO3-、SO42-、Pb、Cd、Cr、Zn、Mo等组分在不同季节均存在一定的可比性,8月份可比的组分有13个,12月份可比的组分有22个（r值大于0.5）,其原因可能与冬季颗粒物及其特征组分的浓度较高且样本量的离散程度增加有关.SPAMS能够快速得到高时间分辨的细颗粒物质量和组分含量的变化趋势,可以作为常规源解析的重要辅助和补充.