Statistical inference on patch-specific survival and movement rates from marked animals

Empirical estimates of patch-specific survival and movement rates are needed to parametrize spatially explicit population models, and for inference on the effects of habitat quality and fragmentation on populations. Data from radio-marked animals, in which both the fates and habitat locations of animals are known over time, can be used in conjunction with continuous-time proportional hazards models to obtain inferences on survival rates. Discrete-time conditional logistic models may provide inference on both survival and movement rates. We use Monte Carlo simulation to investigate accuracy of estimates of survival from both approaches, and movement rates from conditional logistic regression, for two habitats. Bias was low (relative bias < 0.04) and interval coverage accurate (close to the nominal 0.95) for estimates of habitat effect on survival based on proportional hazards. Bias was high ( relative bias 0.60) and interval coverage poor ( = 0.26 vs. nominal 0.95) for estimates of habitat effect based on conditional logistic regression; bias was especially influenced by heterogeneity in survival and the shape of the hazard function, whereas both bias and coverage were affected by ‘memory’ effects in movement patterns. Bias estimates of movement rate was low ( relative bias < 0.05), but interval coverage was poor ( = 0.48–0.80), possibly as a result of poor performance of a Taylor series estimate of variance. An example is provided from a radio-telemetry study of 47 wintering American woodcock (Scolopax minor), illustrating practical difficulties in field studies to parametrize these models. We also discuss extensions of continuous-time models to explicitly include a movement process, and further examine tradeoffs between continuous and discrete models.     

Disaster risk reduction in developing countries: costs, benefits and institutions

Some 60,000 people worldwide die annually in natural disasters, mostly due to the collapse of buildings in earthquakes, and primarily in the developing world. This is despite the fact that engineering solutions exist that can eliminate almost completely the risk of such deaths. Why is this? The solutions are expensive and technically demanding, so their cost–benefit ratio often is unfavourable as compared to other interventions. Nonetheless, there are various public disaster risk reduction interventions that are highly cost‐effective. That such interventions frequently remain unimplemented or ineffectively executed points to a role for issues of political economy. Building regulations in developing countries appear to have limited impact in many cases, perhaps because of inadequate capacity and corruption. Public construction often is of low quality, perhaps for similar reasons. This suggests the need for approaches that emphasise simple and limited disaster risk regulation covering only the most at‐risk structures—and that, preferably, non‐experts can monitor—as well as numerous transparency and oversight mechanisms for public construction projects.     

镉"加标"沉积物对泥鳅(Misgurnus anguillicaudatus)生物毒性研究

选择泥鳅(Misgurnus anguillicaudaus)作为受试生物,以泥鳅死亡率、血液红细胞数量、红细胞体积、红细胞微核率和核异常率作为测试指标,考察了沉积物中"加标"金属镉(Cd)的毒性状况,探讨了水体沉积物中重金属的生物毒性影响.结果表明:高有机质的粘土粉砂性沉积物能够有效吸附重金属镉;镉加标暴露组泥鳅的死...     

Have flood mortality qualitative characteristics changed during the last decades? The case study of Greece

Despite the dramatic increase in recorded flood events in Greece in the last decades, recent findings show that related mortality does not show a corresponding rise. This work develops and studies a database of flood-related fatalities to investigate qualitative changes in flood mortality in the country between 1960 and 2010. Observations show a shift in the circumstances under which fatal incidents occurred and in the demographics of the victims. In particular, indoor fatalities and cases in urban environments gradually decrease in favour of incidents occurring outdoors, in rural settings, mostly using motor vehicles. The number of fatalities per flood event show a decline, indicating that multiple-fatality incidents are gradually disappearing and that advances in protection have an impact on mortality. The increase in the use of vehicles, the improvements in the structural integrity of buildings and the advances in early warning and civil protection practices are found to influence mortality both in qualitative and in quantitative terms.     

Settlement decisions in blue tits: difference in the use of social information according to age and individual success

Dispersers are expected to assess breeding habitat quality before settlement. Although cues reflecting habitat quality are well studied, social cues have not been as well evaluated. In this paper, we studied breeding habitat selection during 3 years in a natural population of blue tits, Cyanistes caeruleus, breeding in nest-boxes. Our aim was to investigate if this species used conspecific density and/or reproductive success of con- and heterospecifics (i.e., social cues) in settlement decisions. The patterns observed were consistent with the idea that juveniles, when dispersing from their natal patches, did not react to any of the cues that we tested. In contrast, breeders that dispersed seemed to respond to both conspecific mean patch reproductive success (PRS) and breeding density of the settlement patch in the year of dispersal, their response differing according to their own reproductive success. Indeed, failed breeders moved to areas with high PRS and low density relative to source patches, while successful breeders behaved the opposite. The comparison between juveniles and adults might be modulated by the limited time available to juveniles to gather information on PRS and density at the end of the dispersing year. Adults lacking these time constraints, however, seemed to rely on these conspecific cues although limited by their own quality. Additionally, breeders were more likely to be immigrants in patches with relatively low breeding success and density the previous year, suggesting that settlement is influenced by multiple cues, which may reveal information on different aspects of habitat and be available at different moments. Collectively, our results support the importance of social cues for blue tits’ settlement.     

Trends in occupational injuries and fatality in Turkey

Introduction. The aim of this study was to evaluate the trend of occupational injuries in Turkey using epidemiologic criteria such as incidence mortality and fatality/all injuries recorded – rates. Materials and methods. Safety and health data were obtained from the Annual Statistic Books of the Social Insurance Institution (1988–2006) and Social Security Institution (2007–2011) of Turkey. Results. The results from the official data showed that although total employment is increasing the number of occupational injuries and incidence and mortality rates are decreasing. The results also demonstrate that occupational fatality/all injuries recorded – rate is increasing. The fatality/all injuries recorded – rate per 1000 injuries increased to 25.5 in 2011 from 8.6 in 1988. Each work day an average of five people died because of occupational injuries. Discussion and conclusions. The fatality/all injuries recorded – rate (the number of fatal cases per 1000 occupational injuries) is an important indicator of the injury rate for a country. Systems of occupational injury and illness surveillance constitute a critical resource for the management and reduction of occupational injuries and illness.     

Infant and Under-five Mortality in Bangladesh: Discriminant Analysis

Abstract

Bangladesh is on target for achieving the Millennium Development Goal 4 relating to infant and under-five mortality because of very rapid reduction in mortality in recent years. But this rate of reduction may be difficult to sustain and may hamper the achievement of Millennium Development Goal 4. Therefore, the main objective of this paper is to discuss and compare the different covariates of infant and under-five mortality in the context of overall country, urban and rural levels of Bangladesh using discriminant analysis. For this, the data are taken from Bangladesh Demographic and Health Survey, 2004. In discriminant analysis, the stepwise procedure has been picked up and only the significant variables are ranked according to the rank of Wilk’s Lambda values. The canonical discriminant function coefficients (unstandardized and standardized) for the predictor variables have also been calculated. Both the results show that breastfeeding is the most important variable in discriminating the two groups of mothers, i.e., mothers experiencing to infant mortality or not and mothers experiencing to under-five mortality or not. The related results of discriminant function also indicate that the discriminant function is statistically significant and discriminates well. Therefore, improvements in the health system are essential for promoting the breastfeeding practices (both inclusive and exclusive), which may be the effective strategies to reach families and communities with targeted messages and information.     

Elite cues,media coverage,and public concern: an integrated path analysis of public opinion on climate change, 2001–2013

To analyze the factors affecting US public concern about the threat of climate change between January 2002 and December 2013, data from 74 separate surveys are used to construct quarterly measures of public concern over global climate change. Five factors should account for changes in levels of concern: extreme weather events, public access to accurate scientific information, media coverage, elite cues, and movement/countermovement advocacy. Structural equation modeling indicates that elite cues, movement advocacy efforts, weather, and structural economic factors influence the level of public concern about climate change. While media coverage exerts an important influence, it is itself largely a function of elite cues and economic factors. Promulgation to the public of scientific information on climate change has no effect. Information-based science advocacy has had only a minor effect on public concern, while political mobilization by elites and advocacy groups is critical in influencing climate change concern.     

Discrimination of predatory versus nonpredatory mammals by box turtles, <Emphasis Type="Italic">Terrapene carolina</Emphasis>

Summary. Although terrestrial turtles have served as a model for studies of olfactory neurophysiology, little is known about how they use chemical information in an ecological sense. We tested whether box turtles (Terrapene carolina) use chemical information to distinguish between predatory and nonpredatory mammals. Box turtles in our study exhibited more escape behavior when exposed to urine from a predator (coyote, Canis latrans) than when exposed to urine from a nonpredator (white-tailed deer, Odocoileus virginianus) or a blank control. Escape behavior is consistent with an antipredator response. In addition, the turtles decreased their handling time for food when in the presence of urine from either species of mammal in comparison to the blank, indicating that chemical cues from mammals in general may result in increased vigilance by terrestrial turtles. Examination of a variety of response variables may be important for adequate assessment of the ecological role of chemosensory behavior.     

Climate policy support under political consensus: exploring the varying effect of partisanship and party cues

By creating attitudinal rifts among partisan voters, political polarization is expected to negatively affect chances of effectively mitigating climate change. While such expectations generally have found support, less attention has been paid to the opposite claim that political consensus should eliminate the partisan dimension in climate change politics. This study tests this claim by studying how party identification, and party cues specifically, affects public policy attitudes in a context defined by political consensus. Using data from a large online access panel in Sweden, party identification and party cues are shown to matter for policy attitudes even in a consensus context. This effect is not limited to certain issues but is found across a wide range of policies, and the effect of party cues, for a given issue, varies across parties. The implications of this study and areas for future work are discussed.