Fragmented Region Research Articles

Leopard dispersal across a fragmented landscape in the Western Cape, South Africa

AbstractLeopard (Panthera pardus) dispersal is poorly documented. An amalgamation of independent, mixed‐method camera trap data spanning six years provides evidence of male leopard dispersal across the highly fragmented Overberg region, Western Cape, South Africa. Dispersal distances from four individuals ranged from 35.3 to 112.0 km between the origin and destination datapoints. Leopard dispersal across the modified landscape affirms their adaptability and resilience and reveals local functional connectivity. We caution against population status complacency but rather advocate for maintaining and improving functional landscape connectivity for this umbrella species. This study, which collated piecemeal data from four sources, highlights the importance of collaboration and data sharing in conservation.

Evaluating carbon stocks in soils of fragmented Brazilian Atlantic Forests (BAF) based on soil features and different methodologies.

Brazil's Atlantic Forest (BAF) is a highly fragmented, strategic environmental and socio-economic region that represents the fourth biodiversity hotspot while also producing many commodities that are exported globally. Human disturbance plays a pivotal role as a driver of BAF's soil dynamics and behaviors. The soils under Late Primary and Secondary Semideciduous Seasonal Forests (LPSF and LSSF) were characterized by high to moderate resilience, with improved chemical properties as human disturbance decreased. The Transitional Forest to Cerrado (TFC) had the worst soil conditions. Disturbed Primary and Secondary Semideciduous Seasonal Forests (DPSF and DSSF) represent a transitional stage between LPSF/LSSF and TFC. Accordingly, SOCs stocks increased from TFC << DPSF, DSSF < LPSF, LSSF. In BAF soils, to avoid unreliable data, SOCs measurements should be (i) conducted to at least 1m soil depth and (ii) quantified with a CHN analyzer. Human disturbance strongly affected the positive feedback between vegetation succession, SOCs, and soil nutrition. Soil development decreased as human disturbance increased, thus negatively affecting SOCs. Soils in the BAF require a long time to recover after the end of human disturbance, thus suggesting that preservation strategies should be prioritized in remnant BAF fragments.

DIPLOMATIC STRATEGIES OF KING PRITHVI NARAYAN SHAH IN UNIFICATION OF NEPAL

This research investigates the essential role of diplomatic strategies in the growth of the Gorkha kingdom and the eventual consolidation of Nepal under the leadership of King Prithvi Narayan Shah. The study analyzes Prithvi Narayan Shah's diplomatic approaches, including their objectives, methods, and outcomes. The findings underscore the crucial impact of diplomacy in uniting a historically fragmented region comprising over 50 small states during the medieval period, enabling Gorkha's leadership in the Nepal unification initiative. Prithvi Narayan Shah implemented various diplomatic strategies to achieve his objectives. Recognizing the economic significance of the Kathmandu Valley, he initiated an economic blockade to undermine its stability, increasing discontent among its inhabitants and prompting them to consider aligning with the Gorkhas. The Gorkha state employed a network of spies to manipulate conflicts among the Malla kings of the valley, fostering mistrust and discord, ultimately destabilizing the region, and facilitating unification. Additionally, he maintained ambiguity about his intentions, neither presenting himself as an enemy nor a friend to the British government. This article underscores how these diplomatic endeavors, coupled with strategic military actions, significantly contributed to the expansion of the Gorkha kingdom and the eventual unification of Nepal.

Can TODs Include Affordable Housing?

Problem, research strategy, and findings Inclusion of affordable housing in transit-oriented developments (TODs) is necessary for addressing the mobility and shelter needs of transit-dependent and low-income populations. Affordable housing in TODs, however, remains scarce despite state-level policies, interest group advocacy, and developer enthusiasm. We used a multiple case study method and focused on TOD areas in communities with disadvantaged populations in Southern California to examine barriers to and opportunities for affordable housing. We examined the contents of specific plans adopted by local governments to facilitate TODs around 10 selected transit stations in Los Angeles and Orange counties and conducted interviews with planners, policymakers, and developers involved in achieving affordable housing. Our findings indicated that although TOD specific plans permitted higher-density developments, they neither prioritized affordable housing nor presented a coherent vision for an inclusive transit community that would address the needs of different types of households. Moreover, onerous requirements for securing subsidies, patchwork financing, uncertainties in the approval process, and competition from market-rate housing inhibited affordable housing development. Although we did not analyze community opposition to TODs, it was hinted at by our interviewees. Takeaway for practice Targeting affordable housing in TODs, providing incentives, and strengthening the institutional framework are critical to achieving inclusive transit communities. The development of TODs in a politically fragmented region like Southern California necessitates a lead organization to procure affordable housing investments and strengthen the housing–transportation nexus. We note broader implications of the findings beyond California.

Viral hepatitis in Asia-Pacific: a post-COVID-19 reset

Viral hepatitis in Asia-Pacific: a post-COVID-19 reset

Inferring population connectivity in eastern massasauga rattlesnakes (Sistrurus catenatus) using landscape genetics.

Assessing the environmental factors that influence the ability of a threatened species to move through a landscape can be used to identify conservation actions that connect isolated populations. However, direct observations of species' movement are often limited, making the development of alternate approaches necessary. Here we use landscape genetic analyses to assess the impact of landscape features on the movement of individuals between local populations of a threatened snake, the eastern massasauga rattlesnake (Sistrurus catenatus). We linked connectivity data with habitat information from two landscapes of similar size: a large region of unfragmented habitat and a previously studied fragmented landscape consisting of isolated patches of habitat. We used this analysis to identify features of the landscape where modification or acquisition would enhance population connectivity in the fragmented region. We found evidence that current connectivity was impacted by both contemporary land-cover features, especially roads, and inherent landscape features such as elevation. Next, we derived estimates of expected movement ability using a recently developed pedigree-based approach and least-cost paths through the unfragmented landscape. We then used our pedigree and resistance map to estimate resistance polygons of the potential extent for S. catenatus movement in the fragmented landscape. These polygons identify possible sites for future corridors connecting currently isolated populations in this landscape by linking the impact of future habitat modification or land acquisition to dispersal ability in this species. Overall, our study shows how modeling landscape resistance across differently fragmented landscapes can identify habitat features that affect contemporary movement in threatened species in fragmented landscapes and how this information can be used to guide mitigation actions whose goal is to connect isolated populations.

Dynamics between Regional Integration and Informal Cross Border Trade and Its Applicability: The Case of Cameroon and Equatorial Guinea

Collective self-reliance, inward-looking regionalism, and delinking from the dominant relationships that prevailed in the international economic system in the form of regional economic integration and cooperation were the solution identified by the Pan-African leaders as a potential strategy for restructuring the fragmented African region into a more coherent and viable economic space. This article interrogates the applicability and understanding of Regional Integration within the ECCAS Region while determining the influence Informal Cross Border Trade has had on economic integration in this sub region. The study uses economic integration theories to analyze the implementation of regional economic integration and its effectiveness. The article applies a qualitative research method with a cross sectional design to study a multilevel issue involved in regional integration. It aimed to explain and predict phenomena based on empirical data obtained through interviews using close structured and unstructured interview guide. The study revealed that despite efforts to institutionalize regional integration in the ECCAS region, structural challenges remain a significant impediment to intra-regional trade. Informal cross-border traders consolidate what has come to be regarded as the “invisible” integration of Africa’s economies through their involvement in a range of goods and services, resulting in transnational networks, culture and kinship. These can only be effective if African countries adopt a self-reliant and inward-looking economic integration strategy.

Rapid and Automated Approach for Early Crop Mapping Using Sentinel-1 and Sentinel-2 on Google Earth Engine; A Case of a Highly Heterogeneous and Fragmented Agricultural Region.

Accurate and rapid crop type mapping is critical for agricultural sustainability. The growing trend of cloud-based geospatial platforms provides rapid processing tools and cloud storage for remote sensing data. In particular, a variety of remote sensing applications have made use of publicly accessible data from the Sentinel missions of the European Space Agency (ESA). However, few studies have employed these data to evaluate the effectiveness of Sentinel-1, and Sentinel-2 spectral bands and Machine Learning (ML) techniques in challenging highly heterogeneous and fragmented agricultural landscapes using the Google Earth Engine (GEE) cloud computing platform. This work aims to map, accurately and early, the crop types in a highly heterogeneous and fragmented agricultural region of the Tadla Irrigated Perimeter (TIP) as a case study using the high spatiotemporal resolution of Sentinel-1, Sentinel-2, and a Random Forest (RF) classifier implemented on GEE. More specifically, five experiments were performed to assess the optical band reflectance values, vegetation indices, and SAR backscattering coefficients on the accuracy of crop classification. Besides, two scenarios were used to assess the monthly temporal windows on classification accuracy. The findings of this study show that the fusion of Sentinel-1 and Sentinel-2 data can accurately produce the early crop mapping of the studied area with an Overall Accuracy (OA) reaching 95.02%. The scenarios prove that the monthly time series perform better in terms of classification accuracy than single monthly windows images. Red-edge and shortwave infrared bands can improve the accuracy of crop classification by 1.72% when compared to only using traditional bands (i.e., visible and near-infrared bands). The inclusion of two common vegetation indices (The Normalized Vegetation Index (NDVI), the Enhanced Vegetation Index (EVI)) and Sentinel-1 backscattering coefficients to the crop classification enhanced the overall classification accuracy by 0.02% and 2.94%, respectively, compared to using the Sentinel-2 reflectance bands alone. The monthly windows analysis indicated that the improvement in the accuracy of crop classification is the greatest when the March images are accessible, with an OA higher than 80%.

Wheat Yield Estimation Using Remote Sensing Indices Derived from Sentinel-2 Time Series and Google Earth Engine in a Highly Fragmented and Heterogeneous Agricultural Region

In Morocco, monitoring and estimation of wheat yield at the regional and national scales are critical issues for national food security. The recent Sentinel-2 imagery offers potential for managing grain production systems on a field and regional level. The present study was planned based on a time series of six remote sensing indices and Multiple Linear Regression (MLR) methods for real-time estimation of wheat yield using the Google Earth Engine (GEE) platform in a highly heterogeneous and fragmented agricultural region, such as the Tadla Irrigated Perimeter (TIP). First, the spatial distribution of wheat in the TIP region was mapped by performing Random Forest (RF) classification of Sentinel 2 images. Following that, using MLR models, the wheat yield of nine sampled fields was estimated for the different phenological stages of wheat. The yield measured in-situ was the independent variable of the regressions. The dependent variables included the remote sensing indices derived from Sentinel-2. The remote sensing index and the phenological period of the greatest model were investigated to estimate and map the wheat yield in the entire study area. The RF generated the wheat mapping of the study area with an overall accuracy (OA) of 93.82%. Furthermore, the coefficient of determination (R2) of the tested MLR was from 0.53 to 0.89, while the Root Mean Square Error (RMSE) varied from 4.29 to 7.78 q ha−1. The best model was the one that uses the Green Normalized Difference Vegetation Index (GNDVI) in the tillering and maturity stages.

The Changing Landscape of Food Deserts and Swamps over More than a Decade in Flanders, Belgium.

Food deserts and swamps have previously been mostly studied in Anglo-Saxon countries such as the USA and Great Britain. This research is one of the first studies to map food deserts and swamps in a mainland European, densely populated but heavily fragmented region such as Flanders. The evolution of food deserts and swamps between 2008 and 2020 was assessed. Special focus was given to areas where high numbers of elderly, young people and/or families with low income live. Food deserts were calculated based on supermarket access within 1000 m and bus stop availability, while food swamps were calculated using the Modified Food Environment Retail Index. The main cause behind the formation of food deserts in Flanders is its rapidly aging population. Food deserts with a higher number of older people increased from 2.5% to 3.1% of the residential area between 2008 and 2020, housing 2.2% and 2.8% of the population, respectively. Although the area that could become a food desert in the future due to these sociospatial and demographic evolutions is large, food deserts are currently a relatively small problem in Flanders in comparison to the widespread existence of food swamps. Unhealthy retailers outnumbered healthy retailers in 74% of residential areas in 2020, housing 88.2% of the population. These food swamps create an environment where unhealthy food choices predominate. Residential areas with a higher number of elderly people, young people and families with low incomes had healthier food environments than Flanders as a whole, because these areas are mostly found in dense urban centers where the ratio of healthy food retailers to all retailers is higher. This research showed that food deserts and swamps could be a growing problem in European regions with a high population density that experience the high pressures of competing land uses.

RAD-sequencing improves the genetic characterization of a threatened tree peony (Paeonia ludlowii) endemic to China: Implications for conservation

Compared with traditional genetic markers, genomic approaches have proved valuable to the conservation of endangered species. Paeonia ludlowii having rarely and pure yellow flowers, is one of the world's most famous tree peonies. However, only several wild populations remain in the Yarlung Zangbo Valley (Nyingchi and Shannan regions, Xizang) in China due to increasing anthropogenic impact on the natural habitats. We used genome-wide single nucleotide polymorphisms to elucidate the spatial pattern of genetic variation, population structure and demographic history of P. ludlowii from the fragmented region comprising the entire range of this species, aiming to provide a basis for conserving the genetic resources of this species. Unlike genetic uniformity among populations revealed in previous studies, we found low but varied levels of intra-population genetic diversity, in which lower genetic diversity was detected in the population in Shannan region compared to those in Nyingzhi region. These spatial patterns may be likely associated with different population sizes caused by micro-environment differences in these two regions. Additionally, low genetic differentiation among populations (Fst = 0.0037) were detected at the species level. This line of evidence, combined with the result of significant genetic differentiation between the two closest populations and lack of isolation by distance, suggested that shared ancestry among now remnant populations rather than contemporary genetic connectivity resulted in subtle population structure. Demographic inference suggested that P. ludlowii probably experienced a temporal history of sharp population decline during the period of Last Glacial Maximum, and a subsequent bottleneck event resulting from prehistoric human activities on the Qinghai-Tibet Plateau. All these events, together with current habitat fragment and excavation might contribute to the endangered status of P. ludlowii. Our study improved the genetic characterization of the endangered tree peony (P. ludlowii) in China, and these genetic inferences should be considered when making different in situ and ex situ conservation actions for P. ludlowii in this evolutionary hotspot region.

Survey of medium- and large-sized mammals in Atlantic Forest remnants of Conceição dos Ouros, Minas Gerais, Brazil.

Conceição dos Ouros is located in the Mantiqueira mountain range (elevation: 831‒1443 m a.s.l.), State of Minas Gerais, southeast Brazil. The largest two Atlantic Forest remnants of the Municipality of Conceição dos Ouros total more than 2,000 ha and the main vegetation type is seasonal semi-deciduous forest, isolated by a matrix of agricultural fields and pasture. The Municipality does not have any protected areas and is located in a highly fragmented region, albeit considered of special importance for the conservation of terrestrial vertebrates in the State of Minas Gerais. Due to a cooperation with the Municipality of Conceição dos Ouros to carry out a survey of the local biodiversity, in this study we present the results of the survey of medium- and large-sized terrestrial mammals from the two forest remnants in the region. Sampling was performed from July 2019 to August 2021 and comprised a camera trap survey, active searching including direct (e.g. carcass sightings) and indirect (e.g. footprints and faeces) evidence of species presence and interviews with residents. Twenty-nine native and two non-native species were documented. Ten species are in some category of threat of extinction at regional, national or global levels. This is the first survey of the terrestrial mammal fauna in the area of Conceição dos Ouros and results could be helpful in designing conservation strategies at the local scale.

Mitochondrial Haplogroup Classification of Ancient DNA Samples Using Haplotracker.

Mitochondrial DNA haplogroup classification is used to study maternal lineage of ancient human populations. The haplogrouping of ancient DNA is not easy because the DNA is usually found in small pieces in limited quantities. We have developed Haplotracker, a straightforward and efficient high-resolution haplogroup classification tool optimized specifically for ancient DNA samples. Haplotracker offers a user-friendly input interface for multiple mitochondrial DNA sequence fragments in a sample. It provides accurate haplogroup classification with full-length mitochondrial genome sequences and provides high-resolution haplogroup predictions for some fragmented control region sequences using a novel algorithm built on Phylotree mtDNA Build 17 (Phylotree) and our haplotype database (n = 118,869). Its performance for accuracy was demonstrated to be high through haplogroup classification using 8,216 Phylotree full-length and control region mitochondrial DNA sequences compared with HaploGrep 2, one of the most accurate current haplogroup classifiers. Haplotracker provides a novel haplogroup tracking solution for fragmented sequences to track subhaplogroups or verify the haplogroups efficiently. Using Haplotracker, we classified mitochondrial haplogroups to the final subhaplogroup level in nine ancient DNA samples extracted from human skeletal remains found in 2,000-year-old elite Xiongnu cemetery in Northeast Mongolia. Haplotracker can be freely accessed at https://haplotracker.cau.ac.kr.

Revisiting the nexus between fiscal decentralization and government size - The role of ethnic fragmentation

The extant literature on the relationship between fiscal decentralization and government size provides mixed evidence. In this paper, we use a panel of 65 developed and developing countries from 1972 to 2013 to analyse the role of ethnic fragmentation as a mediator in this relationship. Using FGLS for heterogeneous panels, system GMM and instrumental variable methods, we find that fiscal decentralization is inversely associated with government size, but the relationship is positive and significant when variation in ethnic fragmentation is considered. Our findings support the theory that the heterogeneous needs and preferences of an ethnically fragmented region lead to an increase in the demand for public goods and services provision, thereby increasing the level of aggregate government spending through fiscal decentralization. The results are robust across alternate definitions of fiscal decentralization, model specification, and estimation methods.

Experimental and Theoretical DFT Study of Cu(I)/N,N-Disubstituted-N'-acylthioureato Anticancer Complexes: Actin Cytoskeleton and Induction of Death by Apoptosis in Triple-Negative Breast Tumor Cells.

Six complexes with the general formula [Cu(acylthioureato)(PPh3)2] were synthesized and characterized using spectroscopic techniques (IR, UV/visible, and 1D and 2D NMR), mass spectrometry, elemental analysis, and X-ray diffraction. Interpretation of the in vitro cytotoxicity data of Cu(I) complexes took into account their stability in cell culture medium. DFT calculations showed that NMR properties, such as the shielding of carbon atoms, are affected by relativistic effects, supported by the ZORA Hamiltonian in the theoretical calculations. Additionally, the calculation of the energies of the frontier molecular orbitals predicted that the structural changes of the acylthiourea ligands did not cause marked changes in the reactivity descriptors. All complexes were cytotoxic to the evaluated tumor cell lines [MDA-MB-231 (triple-negative breast cancer, TNBC), MCF-7 (breast cancer), and A549 (lung cancer)]. In the MDA-MB-231 cell line, complex 1 significantly altered the cytoskeleton of the cells, reducing the density and promoting the condensation of F-actin filaments. In addition, the compound caused an increase in the percentage of cells in the fragmented DNA region (sub-G0) and induced cell death via the apoptotic pathway starting at the IC50 concentration. Taken together, the results show that complex 1 has cytotoxic and apoptotic effects on TNBC cells, which is a cell line originating from an aggressive, difficult-to-treat breast cancer.

European Union vs. Eurasian Union – a brief comparative analysis and perspectives for cooperation

Abstract The Eurasian Economic Union (EEU) is considered to be the first successful regionalization attempt in the post-Soviet area. It is promoted as an economic organization whose aim is to remove trade barriers, promote integration, cooperation and economic growth in a fragmented and underdeveloped region. The promoters of this organization state that it can represent a platform for dialogue and even cooperation with the European Union, as well as with other international actors. The growing influence of the European Union in the post-Soviet space has been a critical factor in Russia’s determination to update its policy towards regional integration and from the very beginning, the European model was chosen to create the new Union. By doing a comparison between the two regional blocs, I will contribute to a growing literature on the relationship between the European Union and the Eurasian Economic Union, by emphasizing the similarities and differences as well as how the emerging regional competition will shape the future of European relations. In the first part of the article, I will briefly present the evolution of the integration process after the fall of the USSR, followed by a comparative analysis of the two regional integration projects, from a structural, political and economic point of view. I will conclude by analyzing the chances for any kind of breakthrough in political relations and economic cooperation between the two blocs. The article follows a qualitative and quantitative methodology and examines the possible implications of a competition between the European Union and Eurasian economic Union.

Fragmented landscapes affect honey bee colony strength at diverse spatial scales in agroecological landscapes in Kenya.

Landscape fragmentation and habitat loss at multiple scales directly affect species abundance, diversity, and productivity. There is a paucity of information about the effect of the landscape structure and diversity on honey bee colony strength in Africa. Here, we present new insights into the relationship between landscape metrics such as patch size, shape, connectivity, composition, and configuration and honey bee (Apis mellifera) colony strength characteristics. Remote-sensing-based landscape variables were linked to honey bee colony strength variables in a typical highly fragmented smallholder agroecological region in Kenya. We examined colonies in six sites with varying degrees of land degradation during the period from 2017 to 2018. Landscape structure was first mapped using medium resolution bitemporal Sentinel-1 and Sentinel-2 satellite imagery with an optimized random forest model. The influence of the surrounding landscape matrix was then constrained to two buffer distances, i.e., 1 km representing the local foraging scale and 2.5 km representing the wider foraging scale around each investigated apiary and for each of the six sites. The results of zero-inflated negative binomial regression with mixed effects showed that lower complexity of patch geometries represented by fractal dimension and reduced proportions of croplands were most influential at local foraging scales (1 km) from the apiary. In addition, higher proportions of woody vegetation and hedges resulted in higher colony strength at longer distances from the apiary (2.5 km). Honey bees in moderately degraded landscapes demonstrated the most consistently strong colonies throughout the study period. Efforts towards improving beekeeper livelihoods, through higher hive productivity, should target moderately degraded and heterogeneous landscapes, which provide forage from diverse land covers.

Population connectivity across a highly fragmented distribution: Phylogeography of the Chalcophaps doves

Chalcophaps is a morphologically conserved genus of ground-walking doves distributed from India to mainland China, south to Australia, and across the western Pacific to Vanuatu. Here, we reconstruct the evolutionary history of this genus using DNA sequence data from two nuclear genes and one mitochondrial gene, sampled from throughout the geographic range of Chalcophaps. We find support for three major evolutionary lineages in our phylogenetic reconstruction, each corresponding to the three currently recognized Chalcophaps species. Despite this general concordance, we identify discordant mitochondrial and nuclear ancestries in the subspecies C. longirostris timorensis, raising further questions about the evolutionary history of this Timor endemic population. Within each of the three species, we find evidence for isolation by distance or hierarchical population structure, indicating an important role for geography in the diversification of this genus. Despite being distributed broadly across a highly fragmented geographic region known as a hotspot for avian diversification, the Chalcophaps doves show modest levels of phenotypic and genetic diversity, a pattern potentially explained by strong population connectivity owing to high overwater dispersal capability.

China’s bilateral and minilateral relationship with Latin America and the Caribbean: the case of China–CELAC Forum

ABSTRACT Drawing on Qin Yaqing’s notion of relational power, this article analyses how, why and through what mechanisms Chinese international initiatives diffuse Chinese ideas and practices and facilitate the projection of its power in Latin America and the Caribbean (LAC). In an era of crisis of multilateralism and neoliberal globalization and confronted with the global COVID-19 crisis, Chinese cooperation with a politically fragmented region that has for long been dominated by the United States has involved the deployment of bilateral, minilateral and multilateral relationships from the foundation of the China–CELAC Forum and the extension of the Belt and Road Initiative (BRI) to embrace LAC up until the relaunching of the Health Silk Road. Adaptive processes of multilevel cooperation and the projection of soft power contribute to the emergence of a hybrid geopolitical landscape.

Spatial Transformation of Tehran between two political upheavals (1953-1979); an analytical approach to making a middle eastern metropolitan region

ABSTRACT Tehran experienced a seismic shift in its physical and spatial growth during the second Pahlavi dynasty between two political upheavals, the 1953 coup and the 1979 revolution. Over this period, the city was transformed from a monocentric city into a sprawled metropolitan region. The root cause of this is one of the interesting research topics in Iranian urbanization history. By focusing on this specific period, this paper illuminates the role of socio-economic and political backgrounds and their outcomes in the spatial transformation of Tehran. To better understand the role of the main players and their policies and decisions in forming Tehran metropolitan region, actor-network theory was used to frame all the historical events in a big picture. The results showed that the transformation of Tehran into a sprawled and fragmented metropolitan region was brought about by two asymmetrical and opposite process from top-down and bottom-up socio-political streams in which on the one hand the Shah and various governments strategized urban development pattern and tried to manage and control the city growth, and on the other hand, poor migrants and overlooked citizens resisted the top-down policies and formed their own way of planning, making a regional dispersed landscape for Tehran.