Threatened plant species in the river ports of Central Europe: a potential for nature conservation

Industrialized areas represent a special group of urbanized areas, but sufficient attention has not been given to them concerning plant species richness and its importance for biodiversity conservation. These sites are considered the main drivers of biological invasions and biotic homogenization on a global scale, but the question of how and to what degree they contribute to biodiversity has yet to be raised. Data for 62 river ports (16 German, 26 Czech, 7 Hungarian, 4 Slovak, and 9 Austrian) on two important Central European waterways (the Elbe-Vltava and Danube waterways) were gathered for 40 years. In total, 1 240 plant species were found. Of these, 371 were classified as threatened and protected, nearly one third of the total number of species found in all of the studied Elbe, Vltava, and Danube ports. Significant differences in the proportion of threatened species in ports and cities were not found. More threatened species were found in the Danube ports than in the other ports, but their numbers fluctuated depending on the size of the port and the region (country). The results showed that the ports must be regarded as special types of species-rich industrial areas; thus, they should not be considered to be only sources of spreading invasive alien species. When planning port development, uniformity and vegetation management that is too intensive should be avoided. Extensively managed open areas and habitat diversity should be maintained.

     

Attitudes toward poverty among exit students of undergraduate social work programs in eight Latin American countries

What is the attitude of Latin American undergraduate social work students toward poverty? An earlier study from Europe and other countries worldwide found that most graduating social work students who participated in the research were clear about the socio-structural causes of social problems such as poverty. Still, no data on this topic is available for Latin American countries. The aims of this study were: (1) to describe and to compare eight Latin American graduating undergraduate social work student groups regarding their attitudes toward poverty, as measured by two scales: Causes of poverty scale and Ways of dealing with poverty; and (2) to discuss some of the implications of the study for social work education and practice. Using a quantitative transnational-comparative design, a total sample of 525 nonrandomly selected, graduating undergraduate social work students from eight Latin American countries responded to a self-administered questionnaire. An individualistic attitude to understanding and to dealing with poverty emerged in the majority of the student groups. Multivariate procedures and inferential analyses demonstrated variations across the student groups. Implications for social work education and practice are discussed.     

A Multivariate Indicator to Compute Middle Class Population

Social Indicators Research - Monitoring progress towards the Sustainable Development Goals by 2030 requires the global community to disaggregate targets along socio-economic lines, but little has...     

Parental Leave Policies and Second Births: A Comparison of Czechia and Slovakia

Population Research and Policy Review - The paper investigates the transition to second births in Czechia and Slovakia in the context of the development of parental leave policies since the...     

What is Integration? A Comparative View from Immigrants and Municipal Policy

The ongoing project of citizenship construction in societies receiving international immigration demands a perspective that takes into account the interests, views and needs of all socio-demographic groups, including those of newcomers as potential new citizens. We interviewed representatives of 16 immigrant associations operating in the Spanish autonomous community of Galicia, reviewed immigration policy in 13 Spanish (Galician) municipalities, and interviewed 20 municipal government staff members who put these into practice. With this research, we aim to explore the perspectives of immigrants with respect to their own integration and to examine how these compare with local policies designed to facilitate these processes. By comparing the immigrant representatives' perceptions with local policy discourses and practice, our study reveals how local integration practice is not only inconsistent with its own policy discourse but also fails to consider and include immigrants' own understandings of what integration means and how it can be achieved.     

Racial/Ethnic Minority Community College Students' Critical Consciousness and Social Cognitive Career Outcomes

A need exists to better understand how racial/ethnic minority students' critical consciousness development in response to marginalization may be involved in their educational and career development. We therefore examined the link between critical consciousness development and career decision self-efficacy and career outcome expectations among racial/ethnic minority community college students. Following social cognitive career theory's conceptual pillars, we developed a testable model integrating critical consciousness and social cognitive variables. This model was tested with 135 racially and ethnically diverse community college students. Data analysis included path analyses and tests of model fit using structural equation modeling. Results suggested that (a) higher critical agency is linked to higher career decision self-efficacy and outcome expectations and (b) critical action and reflection have a bidirectional link and predict higher critical agency. Implications for research and practice aiming to close educational and career gaps among racial/ethnic minorities are discussed.     

Dennis R. Young et al.: Economics for Nonprofit Managers and Social Entrepreneurs

VOLUNTAS: International Journal of Voluntary and Nonprofit Organizations -     

Archival Work as Qualitative Sociology

Qualitative Sociology -     

Comparative Perspectives on Social Indicators

Social Indicators Research -     

Regression models to dependence for exceedance

Extreme Value Theory (EVT) aims to study the tails of probability distributions in order to measure and quantify extreme events of maximum and minimum. In river flow data, an extreme level of a river may be related to the level of a neighboring river that flows into it. In this type of data, it is very common for flooding of a location to have been caused by a very large flow from an affluent river that is tens or hundreds of kilometers from this location. In this sense, an interesting approach is to consider a conditional model for the estimation of a multivariate model. Inspired by this idea, we propose a Bayesian model to describe the dependence of exceedance between rivers, where we considered a conditionally independent structure. In this model, the dependence between rivers is captured by modeling the excess marginally of one river as a consequence of linear functions of the other rivers. The results showed that there is a strong and positive connection between excesses in one river caused by the excesses of the other rivers.