Methodological approaches to exploring the spatial variation in social impacts of protected areas: An intercomparison of Bayesian regression modeling approaches and potential implications.

Protected Areas (PAs) are widely used to conserve biodiversity by protecting and restoring ecosystems while also contributing to socio-economic priorities. An increasing number of studies aim to examine the social impacts of PAs on aspects of people's well-being, such as, quality of life, livelihoods, and connectedness to nature. Despite the increase in literature on this topic, there are still few studies that explore possible robust methodological approaches to capturing and assessing the spatial distribution of impacts in a PA.

Depression and Pesticide Exposure Among Male Farmers in Greece.

Objective: The objective of this study was to evaluate the relationship between pesticide exposure and depression.

Methods: A cross-sectional study was performed in a study population of 252 Greek male farmers using the Center for Epidemiological Studies Depression scale. Cumulative pesticide exposure was categorized in three mutually exclusive groups related to lifetime pesticide use: low (<275 days, the reference group), intermediate (276 to 1200 days), and high (>1200 days).

Pesticide Exposure or Pesticide Poisoning and the Risk of Depression in Agricultural Populations: A Systematic Review and Meta-Analysis.

Evidence suggests that farm workers represent a high-risk population for the development of depression. The aim of the study was to clarify the association between pesticide exposure/poisoning and depression. The Preferred Reporting Items for Systematic Reviews and Meta-Analysis were conducted in this systematic review and meta-analysis.

A Stochastically Optimized Two-Echelon Supply Chain Model: An Entropy Approach for Operational Risk Assessment.

Minimizing a company's operational risk by optimizing the performance of the manufacturing and distribution supply chain is a complex task that involves multiple elements, each with their own supply line constraints. Traditional approaches to optimization often assume determinism as the underlying principle. However, this paper, adopting an entropy approach, emphasizes the significance of subjective and objective uncertainty in achieving optimized decisions by incorporating stochastic fluctuations into the supply chain structure.

ESGs and Customer Choice: Some Empirical Evidence.

The goal of this paper is to determine whether a company's performance on environmental, social, and governance (ESG) indicators influences customer choice, and if so, which ones are the most important, as well as whether the COVID-19 pandemic had an effect on changing this hierarchy. Additionally, it intends to investigate the influence of regional and demographic factors on its formation. To achieve this goal, primary data were gathered in Greece via a questionnaire survey.

COVID-19 and protected areas: Impacts, conflicts, and possible management solutions.

During the first wave of the COVID-19 pandemic, management authorities of numerous Protected Areas (PAs) had to discourage visitors from accessing them in order to reduce the virus transmission rate and protect local communities. This resulted in social-ecological impacts and added another layer of complexity to managing PAs. This paper presents the results of a survey in Snowdonia National Park capturing the views of over 700 local residents on the impacts of COVID-19 restrictions and possible scenarios and tools for managing tourist numbers.

Do single-use facemask users' care for the effects on the (marine) environment during the COVID-19 pandemic? Preliminary results from Greece.

This paper examines which demographic and attitudinal characteristics relate to an individual's knowledge and perception of the environmental footprint of single-use mask s/he is using in the midst of the COVID-19 pandemic. Based on a self-selected sample of Greek citizens (N = 462), it is found that demographic characteristics and pro-environmental concern are unrelated to the single-use mask users' knowledge and concern regarding the environmental impacts of the mask they are using. This unanticipated finding suggests that the circumstances of the COVID pandemic may mute the theoretically taken-for-granted connection between environmental interest/concern and the awareness of environmental impacts, thus any future attempts to introduce more environmentally-friendly single-use mask alternatives and/or to curb the current ones' environmental impact should start by reenergizing this suppressed nexus.

(Quasi)-Binomial vs. Gaussian Models to Evaluate Thiamethoxam, Pirimiphos-Methyl, Alpha-Cypermethrin and Deltamethrin on Different Types of Storage Bag Materials Against Zeller (Lepidoptera: Pyralidae) and Jacquelin du Val (Coleoptera: Tenebrionidae).

The Mediterranean flour moth, Zeller (Lepidoptera: Pyralidae) and the confused flour beetle, Jacquelin du Val (Coleoptera: Tenebrionidae) are worldwide spread and notorious organisms of numerous stored-products. Both species are dangerous for bagged commodities as penetrators and invaders. The aim of the current study was to examine the efficacy of thiamethoxam, pirimiphos-methyl, alpha-cypermethrin, and deltamethrin, against and larvae, on different types of storage bag materials, i.

Towards a Semi-Automatic Early Warning System for Vector-Borne Diseases.

The emergence and spread of vector-borne diseases (VBDs) is a function of biotic, abiotic and socio-economic drivers of disease while their economic and societal burden depends upon a number of time-varying factors. This work is concerned with the development of an early warning system that can act as a predictive tool for public health preparedness and response. We employ a host-vector model that combines entomological (mosquito data), social (immigration rate, demographic data), environmental (temperature) and geographical data (risk areas).

Using multilevel models to explore the impact of abiotic and biotic conditions on the efficacy of pirimiphos-methyl against Tenebrio molitor L.

In this study, we utilized a hierarchical multilevel modeling approach to test the hypothesis that the activity of the organophosphate insecticide pirimiphos-methyl against the cosmopolitan serious secondary pest of stored products, the yellow mealworm, Tenebrio molitor (Coleoptera: Tenebrionidae), is affected by temperature, relative humidity (RH), and developmental stage (adults, small larvae, large larvae). Our results showed that as temperature increased from 20 to 25 °C, the observed mortality of T. molitor was significantly higher.

A quantitative analysis of the spatial and temporal evolution patterns of the bluetongue virus outbreak in the island of Lesvos, Greece, in 2014.

Bluetongue virus (BTV) causes an infectious disease called bluetongue, a vector-borne viral disease of ruminants, which has major implications and causes severe economic damage due to its effect on livestock. These economic costs are mostly ascribed to the trade restrictions imposed during the epidemic period. In August 2014, an epidemic of bluetongue occurred in the island of Lesvos, Greece.

Exercising social control in PAYT (Pay-As-You-Throw) violations: The role of subjective evaluations and social capital.

In this paper we examine the relative importance of an individual's subjective evaluations and social capital on his/her decision to exercise social control (i.e. confront the offender) on the hypothetical instance of witnessing a PAYT (Pay-As-You-Throw) scheme violation.

Adaptive Diversity of Beech Seedlings Under Climate Change Scenarios.

The ability of beech ( L.) populations to adapt to the ongoing climate change is especially important in the southern part of Europe, where environmental change is expected to be more intense. In this study, we tested the existing adaptive potential of eight beech populations from two provenances in N.

Do temperature, relative humidity and interspecific competition alter the population size and the damage potential of stored-product insect pests? A hierarchical multilevel modeling approach.

The premises of stored agricultural products and food consists of a complex ecosystem in which several pests can seriously affect the quality and quantity of the products. In this study we utilize a 4-level hierarchical linear multilevel model in order to assess the effect of temperature, relative humidity (RH) and interspecific competition on the population size and damage potential of the larger grain borer, Prostephanus truncatus (Horn) (Coleoptera: Bostrychidae) and the lesser grain borer, Rhyzopertha dominica (F.) (Coleoptera: Bostrychidae).

Extended lactation in high-yielding dairy cows. II. Effects on milk production, udder health, and body measurements.

The objective of this prospective field study was to evaluate the effects of extending the lactation period of high-yielding dairy cows on milk production, udder health characteristics, and development of body condition. On 40 d in milk (DIM), an examination of the genital tract (transrectal palpation, sonography, vaginoscopy) was performed. Cows without signs of clinical endometritis were blocked by parity and were randomly allocated to 1 of 3 experimental groups with a voluntary waiting period of 40, 120, and 180 d, respectively (G40, n = 135; G120, n = 141; G180, n = 139).

A spatial predictive model for malaria resurgence in central Greece integrating entomological, environmental and social data.

Malaria constitutes an important cause of human mortality. After 2009 Greece experienced a resurgence of malaria. Here, we develop a model-based framework that integrates entomological, geographical, social and environmental evidence in order to guide the mosquito control efforts and apply this framework to data from an entomological survey study conducted in Central Greece.

Bayesian epidemic models for spatially aggregated count data.

Epidemic data often possess certain characteristics, such as the presence of many zeros, the spatial nature of the disease spread mechanism, environmental noise, serial correlation and dependence on time-varying factors. This paper addresses these issues via suitable Bayesian modelling. In doing so, we utilize a general class of stochastic regression models appropriate for spatio-temporal count data with an excess number of zeros.

Spatio-temporal modelling of foot-and-mouth disease outbreaks.

We present and analyse data collected during a severe epidemic of foot-and-mouth disease (FMD) that occurred between July and September 2000 in a region of northeastern Greece with strategic importance since it represents the southeastern border of Europe and Asia. We implement generic Bayesian methodology, which offers flexibility in the ability to fit several realistically complex models that simultaneously capture the presence of 'excess' zeros, the spatio-temporal dependence of the cases, assesses the impact of environmental noise and controls for multicollinearity issues. Our findings suggest that the epidemic was mostly driven by the size and the animal type of each farm as well as the distance between farms while environmental and other endemic factors were not important during this outbreak.

Modeling sheep pox disease from the 1994-1998 epidemic in Evros Prefecture, Greece.

Sheep pox is a highly transmissible disease which can cause serious loss of livestock and can therefore have major economic impact. We present data from sheep pox epidemics which occurred between 1994 and 1998. The data include weekly records of infected farms as well as a number of covariates.

Examination of the impact of animal and dairy science journals based on traditional and newly developed bibliometric indices.

Using traditional bibliometric indices such as the well-known journal impact factor (IFAC), as well as other more recently developed measures like the (journal) h-index and modifications, we assessed the impact of most prolific scientific journals in the field of animal and dairy science. To achieve this end, we performed a detailed investigation on the evaluation of journals quality, using a total of 50 journals selected from the category of "Agriculture, Dairy & Animal Science" included in the Thomson Reuters' (formerly Institute of Scientific Information, ISI) Web of Science. Our analysis showed that among the top journals in the field are the Journal of Dairy Research, the Journal of Dairy Science, and the Journal of Animal Science.