“Late-stage” deforestation enhances storm trends in coastal West Africa

Deforestation affects local and regional hydroclimate through changes in heating and moistening of the atmosphere. In the tropics, deforestation leads to warming, but its impact on rainfall is more complex, as it depends on spatial scale and synoptic forcing. Most studies have focused on Amazonia, highlighting that forest edges locally enhance convective rainfall, whereas rainfall decreases over drier, more extensive, deforested regions. Here, we examine Southern West Africa (SWA), an example of “late-stage” deforestation, ongoing since 1900 within a 300-km coastal belt. From three decades of satellite data, we demonstrate that the upward trend in convective activity is strongly modulated by deforestation patterns. The frequency of afternoon storms is enhanced over and downstream of deforested patches on length scales from 16 to 196 km, with greater increases for larger patches. The results are consistent with the triggering of storms by mesoscale circulations due to landscape heterogeneity. Near the coast, where sea breeze convection dominates the diurnal cycle, storm frequency has doubled in deforested areas, attributable to enhanced land–sea thermal contrast. These areas include fast-growing cities such as Freetown and Monrovia, where enhanced storm frequency coincides with high vulnerability to flash flooding. The proximity of the ocean likely explains why ongoing deforestation across SWA continues to increase storminess, as it favors the impact of mesoscale dynamics over moisture availability. The coastal location of deforestation in SWA is typical of many tropical deforestation hotspots, and the processes highlighted here are likely to be of wider global relevance.

Does anthropogenic fragmentation selectively filter avian phylogenetic diversity in a critically endangered forest system?

Summary Documenting phylogenetic diversity for conservation practice allows elucidation of ecosystem functioning and processes by highlighting the commonality and divergence of species’ functional traits within their evolutionary context. Conserving distinct evolutionary histories has intrinsic value, and the conservation of phylogenetically diverse communities is more likely to preserve distinct or relic evolutionary lineages. We explored the potential for anthropogenic forest fragmentation to act as a selective filter of avian phylogenetic diversity within the community of forest-dependent birds of the critically endangered Indian Ocean Coastal Belt Forest (IOCBF), South Africa. We conducted avian point count surveys during the austral breeding season, and calculated fragmentation metrics of forest structural complexity, patch size and isolation. We constructed a maximum likelihood phylogeny using the combined analysis of two mitochondrial genes and three nuclear markers and measured the influence of the fragmentation metrics on six measures of phylogenetic diversity. Our results indicated that the avian community was variously affected by anthropogenic forest fragmentation, with the different metrics of phylogenetic diversity responding with no definitive overall pattern. However, forest structural complexity emerged as an important metric explaining phylogenetic structuring. While the avian community’s phylogenetic diversity displayed resilience to anthropogenic fragmentation, previous research showed a reduction in functional diversity along the fragmentation gradient. Therefore, we recommend studies that especially aim to guide conservation management, incorporate both phylogenetic and functional diversity measures to sufficiently interrogate communities’ resilience to the threats under investigation.

Assessing the Prediction Accuracy of Geomorphon-Based Automated Landform Classification: An Example from the Ionian Coastal Belt of Southern Italy

Automatic procedures for landform extraction is a growing research field but extensive quantitative studies of the prediction accuracy of Automatic Landform Classification (ACL) based on a direct comparison with geomorphological maps are rather limited. In this work, we test the accuracy of an algorithm of automatic landform classification on a large sector of the Ionian coast of the southern Italian belt through a quantitative comparison with a detailed geomorphological map. Automatic landform classification was performed by using an algorithm based on the individuation of basic landform classes named geomorphons. Spatial overlay between the main mapped landforms deriving from traditional geomorphological analysis and the automatic landform classification results highlighted a satisfactory percentage of accuracy (higher than 70%) of the geomorphon-based method for the coastal plain area and drainage network. The percentage of accuracy decreased by about 20–30% for marine and fluvial terraces, while the overall accuracy of the ACL map is 69%. Our results suggest that geomorphon-based classification could represent a basic and robust tool to recognize the main geomorphological elements of landscape at a large scale, which can be useful for the advanced steps of geomorphological mapping such as genetic interpretation of landforms and detailed delineation of complex and composite geomorphic elements.

Pathogenic and Spoilage Causing Microorganisms Associated with Traditional Seafood Product Jaadi Manufactured in Southern and Western Coastal Belt of Sri Lanka

Aims: The objective of this study was to investigate on microbial related food safety issues and microorganisms associated with the production of Sri Lankan traditional seafood Jaadi. Place and Duration of Study: Food Technology Section, Industrial Technology Institute, Colombo, Sri Lanka, between December 2013 to April 2016. Methodology: Seven Jaadi processing centers along the Southern and Western coastal belt of Sri Lanka were evaluated for its compliance to food safety, in terms of environment, processing techniques, hygiene and sanitation, physiochemical and microbiological quality of the final product. Samples drawn from all sites were analyzed for its water activity, salt content, pH and microbiological quality. Microorganisms associated with Jaadi production were isolated in selective media, followed by phenotypical, biochemical and molecular biological characterization. Results: The pH, water activity and salt content of Jaadi samples ranged between 3.60-5.85, 0.73-0.82 and 24.82-40.47%, respectively. Thirteen bacterial strains and one fungal strain detected were strains found to be responsible for human pathogenesis and food spoilage. These include, Bacillus cereus strain I (MN726935.1), Bacillus cereus strain II (MN901259.1), Bacillus haikouensis strain I (MN901262.1), Bacillus haikouensis strain II (MN726976.1), Bacillus licheniformis (MN726987.1), Acinetobacter baumannii (MN901499.1), Bacillus pumilus strain I (MN901264.1), Bacillus pumilus strain II (MN901263.1), Bacillus paralicheniformis (MN901167.1), Bacillus thuringiensis strain I (MN901165.1), Bacillus thuringiensis strain II (MN901257.1), Bacillus cereus (MN901161.1), Staphylococcus saprophyticus (MN901156.1) and Trichoderma longibrachiatum (MN907169.1). Presence of such organisms clearly proclaims the poor hygienic practices and risks related to food safety in this traditional processing technology. Conclusion: Jaadi processing facilities of Southern and Western coastal belt of Sri Lanka needs scientific and technical knowledge to upgrade their processing in order to assure food safety and product quality.

Spatio-Temporal Variability of Gamma Radiation Profile Along the Southern-Indian Coastline (Poompuhar to Nagapattinam Stretch)

The present study is aimed at evaluating the radiation profile along the coast of the Poompuhar- Nagore range, which is known to be hydrodynamically active and is enriched with anthropogenic activities. The study of radiation on the coastal belt and evaluating their dynamics (magnitude and spatio-temporal variability) is crucial both for the coastal inhabitants as well as possible exploration of rare-earth minerals. The effective gamma radiation during the new moon along the coastal range varies between 0.9 to 3.55 ?sv.h-1, respectively. The annual equivalent dose is estimated up to gamma radiation of 0.26 to 2.80 ?sv.h-1. Generally, the concentrations of the gamma radiation measured are elevated in certain areas namely Chinnagudi, Kuttiyandiyur, and Chandrapadi. In particular, the gamma radioactivity is high at Chandrapadi and Chinnagudi during the new moon as it shows considerable amounts of radiation. There is a definite variation due to the moon phase on the gamma radiation profile of the area studied. Out of the eight coastal villages under study, about 60% of the coastal line shows high levels of gamma radiation during both new moon and full moon phases.

The diversity and spatial polarisation of own incomes of the Polish gminas

Own incomes are considered one of the most important sources of financing for local governments in Poland. Although own incomes have been the subject of numerous analyses, extensive research focusing on their spatial aspect is rarely conducted. This article aims to identify the changes in the spatial diversification and polarisation of gminas (communes’) own incomes. Data from the Local Data Bank of Statistics Poland, the National Bank of Poland and the World Bank were used. The analysis covered the years 1995–2019. The study used the global spatial autocorrelation coefficient and the LISA method to identify the process of spatial dependence and to determine the degree of spatial polarisation. The Gini coefficient was applied to assess the level of diversity. The results of the analysis confirmed that an increasing spatial autocorrelation occurred in the studied period, leading to the spatial polarisation of the Polish gminas in terms of their own incomes. Gminas with a high level of own income formed spatial clusters within large urban agglomerations, in regions where natural resources were exploited, along the western border and the coastal belt. The findings show that the area of these clusters was expanding. On the other hand, low-own-income gminas were located in eastern and south-eastern Poland. The analysis has not confirmed that the dynamics of the gross domestic product or the level of inequality in gminas’ own income per capita had any effect on the changes in the spatial autocorrelation coefficient, nor, consequently, on the process of spatial polarisation.