Mexican oregano is a non-timber forest product harvested in natural vegetation and represents an important source of income for rural families. Recent reports have highlighted decreases in natural populations caused by increased harvest intensity. Oregano leaf harvesting is a complex problem, involving different components and views, and has a clear spatial dimension. We proposed an analytical framework based on multi-criteria-multi-objective analyses. GIS tools were used as the platform for managing, displaying and analyzing ecological and socioeconomic information from different sources in order to evaluate land suitability of three different management strategies for two competing land objectives: oregano Harvest and oregano Regeneration. The incorporation of environmental evaluation criteria in the analysis allowed the identification of new potential oregano harvesting areas which were neither reported by harvesters, nor registered during harvesting trips. Socio-economic criteria, such as land tenure, highlighted the fact that a substantial proportion of current oregano harvesting areas are located outside ejido limits resulting in potential conflicts for resource access. The proposed Balanced oregano management strategy, in which the same proportion of suitable area (50%) was assigned to both objectives, represents the most favorable management strategy. This option allows harvesters to continue earning an income from oregano leaf harvest; and at the same time helps in the selection of the best areas for oregano regeneration. It also represents a management strategy with a smaller impact on oregano populations and on the harvesters ́ income, as well as lower monitoring costs. The proposed analytical frame-work may contribute to advance the application of systematic approaches for solving decision-making problems in areas where oregano leaves and other NTFP are harvested.
MULTIFILE
This paper explores country-level macro-structural conditions that are associated with social capital, measured as individuals’ access to social resources. To explain differences in social capital across societies, we formulate hypotheses based on welfare state generosity, cultural orientations (collectivism vs. individualism), and income inequality. We test our hypotheses using data from the International Social Survey Programme (ISSP) 2017, which comprises a total sample size of 50,010 individuals living in 33 countries. We use the position generator survey instrument to build two composite measures of social capital: the diversity and the socio-economic status of social contacts. Multilevel regression models reveal that diversity of social contacts is generally greater among individuals in countries with generous welfare states, while access to contacts of a higher socio-economic status is generally better among individuals in countries with higher levels of individualism. A country’s income inequality is not associated with the social capital of its citizens. However, the association between a person’s socioeconomic status and the diversity of their social capital is moderated by income inequality. As such, our study serves to demonstrate that macro-social conditions at the country level do influence individual social capital and have different implications depending on the dimension considered.
This explanatory sequential mixed methods study explores the perceptions of academic and administrative managers responsible for teacher training at a public university in Colombia, as well as their views on improving such training after learning about the performance of teachers student teachers in the 2019 Saber Pro test, the differences in their test scores, and the relationships and statistical correlations between these outcomes and the students’ personal, family, socioeconomic and academic characteristics. Our findings show significant differences in the student teachers’ mean scores and performance when data are grouped according to personal, socioeconomic and academic conditions; a significant relationship between performance and student teacher characteristics; and correlations between critical reading scores and the other competencies assessed. Our data also highlight the lack of knowledge among academic and administrative managers about students’ life circumstances and the diversity of factors that may impact their performance; the importance of correlational data; the difference between expected and true outcomes; the inequity under which students seem to pursue their education; the limitations in access to resources; the training required for teachers to be able to analyze quantitative data and use specific software; the impact of teachers’ critical reading skills on student outcomes; the importance of data-driven decision-making; and the need for teachers to engage in quantitative research practices.
