Transformation in South African Tourism: A Geographical Perspective on the Eastern Cape

In the international scholarship about tourism small firms the most distinguishing feature of South Africa relates to transformation debates. This article represents a contribution to the vibrant literature around small tourism firms and change in the global South by analysing the geographies of transformation in one South African province, the Eastern Cape. An historical approach is applied to understand the spatial patterns of transformation as mapped in patterns of ownership of Black small-scale accommodation enterprises. The historical approach shows that different regulatory regimes regarding Black entrepreneurs and their involvement in South African tourism have existed at different times and especially under the influence of apartheid legislation and following democratic change. The formative period of Eastern Cape tourism during the first half of the 20th century witnessed the establishment of a tourism economy dominated by White entrepreneurs and most especially in the coastal areas. The apartheid period, however, allowed a small window of opportunity for Black entrepreneurs to establish tourism businesses in the former ‘reserves’ which would become the Homelands. It is shown that the former Homelands areas are currently the most advanced transformation spaces. This finding reinforces the view that whilst with the end of apartheid the Homelands formally ceased to exist their legacy remains inscribed on the character and geographical patterns of tourism small firm development in South Africa.

Spatial inequalities of COVID-19 incidence and associated socioeconomic risk factors in Portugal

COVID-19 hit the world in a sudden and uneven way. Scientific community has provided strong evidence about socioeconomic characteristics of the territory associated with the geographical pattern of COVID-19 incidence. Still, the role played by these factors differs between study areas. Geographically Weighted Regression (GWR) models were applied to explore the spatially varying association between age-standardized COVID-19 incidence rate in 2020 and socioeconomic conditions in Portugal, at the municipality level. The spatial context was defined as a function of the number of neighbours; the bandwidth was determined through AIC. Prior, the validity of the GWR was assessed through ordinary least squares models. Border proximity, proportion of overcrowded living quarters, persons employed in manufacturing establishments and persons employed in construction establishments were found to be significant predictors. It was possible to observe that municipalities are affected differently by the same factor, and that this varying influence has identifiable geographical patterns, the role of each analysed factor varies importantly across the country. This study provides useful insights for policymakers for targeted interventions and for proper identification of risk factors.

Complex polyploid and hybrid species in an apomictic and sexual tropical forage grass group: genomic composition and evolution in Urochloa (Brachiaria) species

Background and Aims Diploid and polyploid Urochloa (including Brachiaria, Panicum and Megathyrsus species) C4 tropical forage grasses originating from Africa are important for food security and the environment​, often being planted in marginal lands worldwide. We aimed to characterize the nature of their genomes, the repetitive DNA, and the genome composition of polyploids, leading to a model of the evolutionary pathways within the group including many apomictic species. Methods Some 362 forage grass accessions from international germplasm collections were studied, and ploidy determined using an optimized flow cytometry method. Whole-genome survey sequencing and molecular cytogenetic analysis were used to identify chromosomes and genomes in Urochloa accessions belonging to the 'brizantha' and 'humidicola' agamic complexes and U. maxima. Key Results Genome structures are complex and variable, with multiple ploidies and genome compositions within the species, and no clear geographical patterns. Sequence analysis of nine diploid and polyploid accessions enabled identification of abundant genome-specific repetitive DNA motifs​. In situ hybridization with a combination of repetitive DNA and genomic DNA probes, identified evolutionary divergence and allowed us to discriminate the different genomes present in polyploids. Conclusions We suggest a new coherent nomenclature for the genomes present​. We develop a model of evolution at the whole-genome level in diploid and polyploid accessions showing processes of grass evolution. We support the retention of narrow species concepts for U. brizantha, U. decumbens, and U. ruziziensis, and do not consider diploids and polyploids of single species as cytotypes. The results and model will be valuable in making rational choices of parents for new hybrids, assist in use of the germplasm for breeding and selection of Urochloa with improved sustainability and agronomic potential, and will assist in measuring and conserving biodiversity in grasslands.

Global to regional overview of floods fatality: the 1951–2020 period

Floods are among the most devastating natural hazards. Human interferences along with climate change cause a lot of human and financial losses every year following the occurrence of floods. In this research, flooding events that have killed more than 10 people in the 1951–2020 period have been studied, analysing the EM-DAT database. The results show that the severity of flood-related deaths is equally distributed worldwide, but present some specific geographical patterns. The flood fatality coefficient, calculated for different countries, identified that Southern, Eastern, and South-Eastern regions of Asia have the deadliest floods in the world. The number of flood events has been increasing since 1951 and peaked in 2007, following a relatively declining trend since then. However, the number of death tolls does not follow a statistically significant trend. An examination of the number of flood events in different decades shows that the highest number of events occurred in the 2001–2010 decade, which corresponds to the largest precipitation anomaly in the world. The most casualties occurred in the decade 1991–2000. However, the lethality of floods has decreased over time, from 412 per flood in 1951–1960 to 67 in the 2011–2020 decade, probably as a consequence of a more resilient environment and better risk reduction strategies. In addition, a direct correlation was found between the number of flood events and the number of casualties with the world’s population.

Different increase rate in body mass of two marten species due to climate warming potentially reinforces interspecific competition

Many species show spatial variation in body size, often associated with climatic patterns. Studying species with contrasting geographical patterns related to climate might help elucidate the role of different drivers. We analysed changes in the body mass of two sympatric medium-sized carnivores—pine marten (Martes martes) and stone marten (Martes foina)—across Europe over 59 years. The body mass of pine marten increased with decreasing latitude, whereas stone marten body mass varied in a more complex pattern across its geographic range. Over time, the average body mass of pine martens increased by 255 g (24%), while stone marten by 86 g (6%). The greatest increase of body mass along both martens’ geographic range was observed in central and southern Europe, where both species occur in sympatry. The body mass increase slowed down over time, especially in allopatric regions. The average pine/stone marten body mass ratio increased from 0.87 in 1960 to 0.99 in 2019, potentially strengthening the competition between them. Thus, a differential response in body size to several drivers over time might have led to an adaptive advantage for pine martens. This highlights the importance of considering different responses among interacting species when studying animal adaptation to climate change.

Foreign direct investment in the storm of the COVID-19 pandemic and the example of Visegrad countries

The immediate effects of COVID-19 on the global flows of foreign direct investment (FDI) were devastating, resulting in a large drop. Flows to the Visegrad countries were also affected but less than the world average. The fall in FDI was the result of underlying trends that started before the pandemic but accentuated by the latter, creating a “perfect storm”. These secular trends include the digitalisation of production and the birth of Industry 4.0, resulting in more asset-light international production and reorganisations of company networks, the sustainability imperative, making the impact of FDI more relevant than its quantity, and a slowdown in the liberalisation of the policy framework for FDI both in individual countries and at the multilateral level. The recovery of FDI from the shock of 2020 is expected to be long and it will be impossible to return to the pre-pandemic structural and geographical patterns. Building resilience and diversification of production at the expense of the search for the lowest-cost locations will be the top priorities of investors, forcing the host countries to revise their investment promotion strategies focused on cost reduction. In the Visegrad countries, the model based on low labour costs will sooner or later reach its limits.

An analytics approach to investigate teacher turnover

Some educational problems embed spatial and temporal complexities, and the aggregation of these data may cause contextual information to be lost. One such example regards teacher turnover, which impacts directly the students' learning processes. In this work, we adopted an observational cross-sectional methodology, using visual analytics techniques to identify complex patterns in the mobility data of teachers in public schools from the city of São Paulo between 2016 and 2017. For this, we used education open data from the Brazilian government, which maps which teachers teach in which schools through a yearly school census. In addition, we sought to understand which are the main factors that, along with institutional rules, influence this sort of decision. To contextualize the main factors, we used synthetic indicators developed by the Brazilian government to identify different motivation clusters that may influence teachers' decisions to move to another school. As result, we identified different patterns varying according to their contract type and their respective geographical patterns. The clusters also identified as main factors: school performance, school climate, and management complexity.