Floristic Composition, Diversity and Plant Community Along Elevational Gradients in the Afro-alpine Vegetation of Abohoy Gara Mountain, northern Ethiopia

This research was conducted in Afro-alpine vegetation of Abohoy Gara Mountain in northern Ethiopia with the aim of analyzing floristic composition along elevational gradients, threats and conservation methods. Data were collected from 53 quadrats (15 m x 15 m) laid at 100 m interval along parallel vertical transects spaced at 500m to each other to record shrubs and trees, whereas 1 m x 1 m plots were used to record herbs. Cover abundance data were used to do community analysis using R version 3.1.2 software. Analysis of variance (ANOVA) was employed to determine significant level of species richness; abundance and Shannon diversity index along elevational gradient, whereas pearson’s correlation test was applied to check the relationship between environmental variables with species richness, species abundance and Shannon diversity index (H’) using SPSS v20. Ninety-seven plant species composed of 82 genera under 40 families were recorded. The mean number of plant species showed significant difference along elevational gradient (P < 0.05). Besides, significant (P < 0.05) negative correlation of elevation with the plant richness, abundance as well as Shannon diversity index had been observed. Based on dominant species, a total of five plant communities were identified. The maximum plant diversity occurred in community type III (3.79), whereas the least plant diversity occurred in community type IV and community type V. Vegetation cover and species composition of Abohoy Gara Mountain is being endangered by agricultural expansion, over grazing and logging of wood for construction material. Hence, it needs application of complementary on-site and offsite conservation approaches. This calls for further joint management of the Abohoy Gara Mountain by the local people and administrative bodies in the overall conservation actions that can save and rehabilitate the plant resources and their habitats.

Legacy Economics and Meta-Management of Creativity in Destinations

The concept of “Legacy” might have many interpretations, going from tangible to intangible, and accordingly, it can include a series of items that can be bequeathed to different kind of “heirs.” Either the giver or the community as main role players involved, the legacy is a bond for public administrations and destination managers. Legacy economics will be here connected to the innovative management of cultural destinations, where several and multi-goals-holders connect in order to provide resilience of villas, museums, and cultural assets together with increasing audiences and tourists. The collection of data about resilient creativity in Como (in the North of Italy) will show connections between legacy and management of public-private organizations for the last decade. A versatile and wide range of public and private interests together with national and international relevance will emerge. Community-type destinations will result as an original and innovative governance for resilience of culture and creativity connected with legacies and meta-management.

A knowledge-intensity-based collaborative community governing mechanism for inter-organisational HR collaborations

PurposeStudies of inter-organisational relationships have mainly investigated collaborations in the technical domain. There is considerably less research conducted in the field of inter-organisational collaborations in the domain of human resource management (HRM). At the same time, it is acknowledged that inter-organisational collaboration in this domain is relevant for organisations. By focusing on inter-organisational HR collaborations, this study provides insights into how these collaborations are governed, as well as how the mode of governance is explained.Design/methodology/approachThe paper relies on a quantitative study among 161 Dutch companies that collaborate with each other on HR-related issues. A measure of governance of inter-organisational HR collaboration is developed and applied.FindingsOrganisations tend to apply a mixture of governance mechanisms to govern their inter-organisational HR collaborations. Hence, they apply a collaborative community type of governance to these HR collaborations. The analyses show that the level of knowledge intensity, in particular the extent to which the organisation applies organisational learning practices, explains the use of collaborative community.Originality/valueFirst, this study focuses on an under-researched field: inter-organisational HR collaborations. Secondly, the study extends existing insights into the governance of inter-organisational relationships by analysing a novel data set.

Higher Residence Attachment and Religiosity Are Associated With Less Depressive Symptoms After Terror Event Exposure

Introduction: We examined how community type, residence attachment, and religiosity contribute to resilience to depressive symptoms, psychosomatic complaints, residential stress, and avoidance behavior among students exposed to terror.Methods: Undergraduate students from Ariel University (N = 1,413; 62.7% females; Mage = 26.5; SD = 6.03) completed a self-report questionnaire on socio-demographics, terror exposure, place attachment, and depressive/psychosomatic symptoms. Participants were divided into three residential groups: “Ariel,” “Small settlement communities in Judea and Samaria” or “Other places in Israel.”Results: Participants from small settlement communities in Judea and Samaria showed significantly fewer depressive symptoms and greater adjustment– less avoidance, psychosomatic symptoms, and residential stress– compared to those living in Ariel or other places in Israel, despite significantly higher exposure to terror.Conclusion: Greater religiosity and residence attachment may protect against depressive symptom development following terror exposure. Secular, temporary residents living in highly terror-exposed areas should be targeted for community strengthening interventions.

Evaluation of associations between estimates of particulate matter exposure and new onset type 2 diabetes in the REGARDS cohort

Background Studies of PM2.5 and type 2 diabetes employ differing methods for exposure assignment, which could explain inconsistencies in this growing literature. We hypothesized associations between PM2.5 and new onset type 2 diabetes would differ by PM2.5 exposure data source, duration, and community type. Methods We identified participants of the US-based REasons for Geographic and Racial Differences in Stroke (REGARDS) cohort who were free of diabetes at baseline (2003–2007); were geocoded at their residence; and had follow-up diabetes information. We assigned PM2.5 exposure estimates to participants for periods of 1 year prior to baseline using three data sources, and 2 years prior to baseline for two of these data sources. We evaluated adjusted odds of new onset diabetes per 5 µg/m3 increases in PM2.5 using generalized estimating equations with a binomial distribution and logit link, stratified by community type. Results Among 11,208 participants, 1,409 (12.6%) had diabetes at follow-up. We observed no associations between PM2.5 and diabetes in higher and lower density urban communities, but within suburban/small town and rural communities, increases of 5 µg/m3 PM2.5 for 2 years (Downscaler model) were associated with diabetes (OR [95% CI] = 1.65 [1.09, 2.51], 1.56 [1.03, 2.36], respectively). Associations were consistent in direction and magnitude for all three PM2.5 sources evaluated. Significance 1- and 2-year durations of PM2.5 exposure estimates were associated with higher odds of incident diabetes in suburban/small town and rural communities, regardless of exposure data source. Associations within urban communities might be obfuscated by place-based confounding.

Gene flow between two thick-billed grasswren subspecies with low dispersal creates a genomic pattern of isolation-by-distance

Context In the era of the Anthropocene, habitat loss and environmental change threaten the persistence of many species. Genotyping-By-Sequencing (GBS) is a useful molecular tool for understanding how patterns of gene flow are associated with contemporary habitat distributions that may be affected by environmental change. Two parapatric subspecies of the threatened thick-billed grasswren (TBGW; Amytornis modestus) more frequently occur in different plant communities. As such, a preference for plant community type could reduce subspecific introgression and increase genetic diversity at the parapatric boundary. Aims We aimed to measure gene flow within and among two TBGW subspecies and tested whether divergent genomic markers were associated with plant community type. Methods We sequenced 118 individuals from either of the two TBGW subspecies or in the region of parapatry and identified 7583 SNPs through ddRADseq. Key results We found evidence of asymmetric gene flow and a genomic pattern of isolation-by-distance. There were sixteen genomic outliers correlated with plant community type (regardless of location). Conclusions These findings show that plant community type does not prevent introgression in one subspecies (A. m. raglessi), but low dispersal and habitat heterogeneity could contribute to the maintenance of distinct subspecific morphotypes. Local adaptation in different plant community types could also provide a mechanism for future divergence. Implications We suggest subspecific introgression could increase genetic variation and the adaptive potential of the species, facilitating species persistence under conditions of climate change.

Exploring the Relationship Between Social Interaction, Cognitive Processing and Learning Achievements in a MOOC Discussion Forum

In the field of learning analytics, mining the regularities of social interaction and cognitive processing have drawn increasing attention. Nevertheless, in MOOCs, there is a lack of investigations on the combination of social and cognitive behavioral patterns. To fill in this gap, this study aimed to uncover the relationship between social interaction, cognitive processing, and learning achievements in a MOOC discussion forum. Specifically, we collected the 3925 participants’ forum data throughout 16 weeks. Social network analysis and epistemic network analysis were jointly adopted to investigate differences in social interaction, cognitive processing between two achievement groups, and the differences in cognitive processing networks between two types of communities. Finally, moderation analysis was employed to examine the moderating effect of community types between cognitive processing and learning achievements. Results indicated that: (1) the high- and low-achieving groups presented significant differences in terms of degree, betweenness, and eigenvector centrality; (2) the stronger cognitive connections were found within the high-achieving group and the instructor-led community; (3) the cognitive processing indicators including insight, discrepancy, and tentative were significantly negative predictors of learning achievements, whereas inhibition and exclusive were significantly positive predictors; (4) the community type moderated the relationship between cognitive processing and learning achievements.

Legacy Effects of Extreme Drought on the Belowground Bud Bank of Bunchgrass and Rhizomatous Steppe Communities in Inner Mongolia

Belowground bud banks play a crucial role in plant population regeneration, community dynamics and ecosystem functions in response to environmental change and disturbance. In mesic grasslands, belowground bud banks are largely resistant to short-term drought. The sensitivity of belowground bud banks to long-term extreme drought in semiarid steppes is less understood. Here, we investigated the legacy effects of a 4-year experimental drought (i.e., 66% reduction in growing season precipitation) on belowground bud density, aboveground shoot density and their relationship (represented by the meristem limitation index-MLI) in two temperate semiarid steppes with different dominated plant growth forms (i.e., bunchgrass vs. rhizomatous grass). Measurements were made during the first recovery year following drought; thus, we reported the legacy effects of drought on belowground bud bank. Results showed that at community level the densities of both belowground buds and aboveground shoots decreased while there was no change in MLI. However, drought had no significant influences on belowground buds, aboveground shoots and MLI of the dominant plant growth form. The legacy effects of drought were largely dependent on plant community type and growth form. Specifically, due to their cluster/phalanx clonal growth, bunchgrasses and communities they dominated were characterized by greater meristem limitation compared with rhizomatous grasses. Our study implies that integrating belowground bud bank demography into the predictive model of community dynamics and ecosystem functions in response to climate change should be considered to understand the differing responses among community type and dominant plant groups.