Nowadays, wildlife road mortality is acknowledged as a main source of threatening long-term survival of wildlife. This paper as the first to analysis wild life vehicle collisions in Iran, aims to reconstruct and interpret the spatio-temporal patterns of WVCs on Asiaei highway in Golestan National Park (GNP). With the collaboration of environmental protection department of GNP, we identified about 1900 WVC Records involving 34 different species of mammals, birds, reptiles and amphibians between 2004 and 2013. Mammals were involved in more than 50% of overall WVCs, among which wild boar (Sus scrofa), Golden Jackal (Canis aureus), Red Fox (Vulpes vulpes), hedgehog (Erinaceus concolor), stone marten (Martes foina) and porcupine (Hystrix indica) were involved in more than 90% of mammals' mortalities; So, we focused on analyzing spatio-temporal pattern of vehicle collisions of these six mammal species. During the study period, these species have undergone 95% increase in road mortalities, averagely. Detailed temporal analyses exhibited an increasing trend of road mortalities from spring to summer and then a reducing one to late winter. It was shown that a large number of collisions occurred in holiday periods when recreational trips considerably increased the traffic volume of Asiaei highway. Preliminary inspection of spatial patterns using Kernel density analysis revealed six collision hotspots, mostly located in the road bends with densely forested land cover on both sides; the promenades along the road seemed to play a significant role too. Scale dependency analyses of collision patterns, demonstrated clustering pattern at micro scales less than 10 km, randomness at meso scales 10 -20 km and both regularity and clustering at macro scales more than 20 km. This paper suggests that road mortality of common species in GNP is a momentous issue, which needs to be considered by relevant governmental and public organizations. We also emphasize that the analyses of spatial and temporal patterns of WVCs are fundamentals to plan for mitigate wildlife road mortality.
Purpose Teachers can be regarded as key figures in climate change education (CCE). Therefore, the purpose of this study is assessment of Iranian lower secondary teachers? level of knowledge, attitudes and practices toward CCE in a less-touched-upon context. Design/methodology/approach The present study used a cross-sectional survey design, which used a specially designed questionnaire administered in ten high schools (five boys’ and five girls’ lower secondary schools). A sample of 108 lower secondary school teachers was selected through a multistage stratified random sampling technique. The gender structure of the sample was 48.1 per cent male and 51.9 per cent female subjects. To determine the status of teachers’ knowledge, attitudes and practices, the obtained quantitative data were classified into three categories on a scale of 100 per cent: good status (more than 75 per cent), moderate status (50-75 per cent) and weak status (less than 50 per cent). Findings The findings revealed that the involved teachers were equipped with an appropriate knowledge, i.e. 22.2 per cent good and 52.8 per cent moderate levels of knowledge. Furthermore, the subjects’ level of attitude was moderate (44.5 per cent); however, their level of practice was weak (52.8 per cent). In terms of gender, male subjects’ knowledge and attitude levels were higher than those of female subjects. However, female subjects reported higher levels of practice in comparison with male subjects. Overall, the results of this study highlighted the necessity of improving lower secondary teachers’ CCE in general and of the level of their attitudes and practices in particular. Originality/value The present study sheds more light on the change management and environmental education within the Iranian context. The results of this study accentuate the necessity of presenting more CCE programs for teachers. Furthermore, curriculum planners can take advantage of the obtained results to carry out curriculum reforms.
Background The total fertility rate (TFR) in the Middle East and North Africa has experienced a declining trend in recent years. Accordingly, the present study was conducted to provide a clear picture of the most critical factors affecting the TFR decline in this region. Methods This study was a systematic review between the years 2000 and 2016. The different databases like Cochrane, PubMed, Scopus, and Science Direct and the Google Scholar search engine were used. At first, 270 articles and then 18 articles were selected and meticulously read for the final analysis. Results The results indicated a declining trend in the TFR in the Middle East and North Africa, as in other parts of the world. Regarding the causes of this declining trend, several factors were identified and categorized into five main factors of health care-related, cultural, economic, social, and political. Conclusions While taking advantage of the experiences, it is necessary to identify the five main factors and their related issues and hence consider them in the population policy-making.
IntroductionOver the last few decades, total fertility rate (TFR) has followed a downward trend in Iran. The consequences of this trend from the perspectives of some are negative. Considering the macro-population policies in recent years, this study aimed to examine the effect of some macro socio-economic variables, including divorce, marriage, urbanization, and unemployment rate on TFR in Iran from 2002 to 2012.MethodsThis time series research was conducted in 2015 using the databases of the National Organization for Civil Registration (NOCR) and the Statistical Center of Iran. The study population was the related data of provinces in the selected variables. The main methods used in the research were the common unit root test, Pedroni Cointegration test, redundant fixed effects tests, correlated random effects-Hausman test, and panel least squares of fixed effects. In order to determine the suitable model for estimating panel data, likelihood ratio and Huasman tests were done using Eviews software, and the fixed effects regression model was chosen as the dominant model.ResultsThe results indicated that the divorce rate had a negative and significant effect on TFR (p < 0.05). A positive and significant relationship between marriage rate and TFR variables also was observed (p < 0.05). Urbanization rate (p = 0.24) and unemployment rate (p = 0.36) had no significant relationship with TFR. According to F statistic, significance of the overall model also was confirmed (p < 0.001).ConclusionDue to the lower effect of the studied factors on the reduction of TFR, it seems that variables other than the ones studied, as well as cultural factors and values, might be fundamental factors for this change in the country.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.