Different Levels Of Urbanization Research Articles

Anuran responses to urbanization: evaluating life history traits of Rhinella arenarum in urban wetlands

Abstract Wetlands are unique ecological environments capable of harboring high biodiversity. However, urbanization can degrade, eliminate, or transform these habitats. Although amphibians utilize habitats created by humans in urban landscapes, few studies have investigated the influence of the habitat quality on the life history of anurans. We assessed life history traits such as snout-vent length (SVL), body condition, and reproductive investment in the South American common toad Rhinella arenarum, to determine whether urbanization is harmful or beneficial to this species. We sampled wetlands with different levels of urbanization in Río Cuarto city, Córdoba, Argentina. We recorded males with lower SVL in medium urbanized wetlands and those with the highest SVL in both low and high urbanization categories, similar to what was found for body conditions with males with low body conditions inhabiting wetlands with a medium degree of urbanization. In females, lower SVL was recorded in medium urbanization and highest SVL in high and low urbanization. It is observed that females recorded in highly urbanized wetlands have a very low body condition. The reproductive investment parameters were not significantly different, but we observed an association between a greater number of eggs and clutch size with wetlands of low urbanization. These results show a variability of responses of R. arenarum to urbanization, which could be due to phenotypic plasticity in its life history parameters, allowing it to inhabit urban areas. Continuous monitoring of the species in these wetlands is needed to determine if these biological responses are temporary or persistent.

Urbanization reduces the stability of soil microbial community by reshaping the diversity and network complexity

Rapid urbanization considerably alters soil environment, biodiversity, and stability of terrestrial ecosystems. Soil microbial community, a key component of global biodiversity, plays a pivotal role in ecosystem stability and is highly vulnerable to urbanization. However, effects of urbanization on the diversity, stability, and network structure of soil microbial community remain poorly understood. Herein, we investigated the diversity and stability of soil microbial communities, including bacteria, fungi, and protists, across three regions with different levels of urbanization—urban, suburb, and ecoregion—using high-throughput sequencing techniques. Our results revealed that urbanization led to a notable decrease in the alpha diversity of soil microbial community, causing a significant reduction in soil stability, as assessed by the average variation degree (AVD). The loss of stability was linked to the diminished alpha diversity of the soil fungal and protistan communities, along with weakened interactions among bacteria, fungi, and protists. Notably, the majority of keystone species identified through network analysis were classified as bacteria (Proteobacteria) and displayed a strong positive correlation with the environmental factors influencing AVD. This highlights that the variability of bacteria and the immutability of fungi and protists are important to sustain soil microbial stability. Furthermore, structural equation models indicated that protistan diversity primarily drove soil microbial stability across all regions studied. In the suburban and ecoregion areas, soil microbial stability was directly influenced by the soil properties, bacterial diversity, and keystone species, as well as indirectly affected by heavy metals. These results underscore how urbanization can reduce the stability of soil microbial community via declined diversity and network complexity, whereas the establishment of ecoregions maybe contribute to preserve the diversity and stability of soil microbial community.

Characteristics of the Basic Socio-Economic Factors of the Development of Small Towns in Russia

Currently, small towns in Russia are going through a difficult period due to changes in the economic situation, demographic trends and financial constraints. These factors have a significant impact on the lives of citizens and require in-depth study and analysis. The purpose of the study is to identify the general features of small forms of settlement as part of the regional socio-economic system for the further development of proposals for the formation of specific measures for the socio-economic development of small towns. The research was conducted on a sample of data from 82 regions of Russia for 2018–2022 according to 11 statistical hypotheses. The work used modern methods of statistical analysis, including testing the normality of distribution (ShapiroWilk statistics), equality of variances (Livigne criterion) and the method of statistical testing of hypotheses based on the Mann-Whitney test. Calculations were performed in the Python software environment using the NumPy and Pandas libraries for data preprocessing and SciPy and XlsxWriter for statistical analysis and export results. The following socio-economic indicators are considered: average per capita cash income of the population, gross regional product and investment in fixed capital per capita, average turnover of organizations and the share of the population with cash income below the subsistence level. It is shown that, within the framework of the existing administrative structure of regional governance, regions with different levels of urbanization have statistically significant differences in these indicators. At the same time, no such differences were found in relation to indicators such as expenditures and revenues of consolidated budgets per person, the total area of residential premises per inhabitant on average, the fertility rate, the population maturity index and the dynamics of population change over 10 years (2012-2022 inclusive).

Relationship between Civilian Injuries Caused during Contact with Law Enforcement and Community-Level Sociodemographic Characteristics.

Civilian injuries caused during contact with law enforcement personnel erode community trust in policing, impact individual well-being, and exacerbate existing health inequities. We assessed the relationship between ZIP code-level rates of civilian injuries caused during legal interventions and community-level sociodemographic characteristics using Illinois hospital data from 2016 to 2022. We developed multivariable Poisson regression models to examine whether legal intervention injury rates differed by race-ethnicity and community economic disadvantage across three geographic regions of Illinois representing different levels of urbanization. Over the study period, 4976 civilian injuries were treated in Illinois hospitals (rate of 5.6 per 100,000 residents). Compared to non-Hispanic white residents, non-Hispanic Black residents demonstrated 5.5-10.5 times higher injury rates across the three geographic regions, and Hispanic-Latino residents demonstrated higher rates in Chicago and suburban Cook County, but lower rates in the rest of the state. In most regions, models showed that as the percent of minority residents in a ZIP code increased, injury rates among non-Hispanic Black and Hispanic-Latino residents decreased. As community economic disadvantage increased at the ZIP code level, civilian injury rates increased. Communities with the highest injury rates involving non-Hispanic white residents were significantly more economically unequal and disadvantaged. While the injury rates were consistently and substantially higher among non-Hispanic Black residents throughout the state, the findings illustrate that the association between overall civilian injuries caused during contact with law enforcement and community sociodemographic characteristics varied across regions. Data on local law enforcement agency policies and procedures are needed to better identify appropriate interventions.

Relative improvements between roads and railways and economic performance: A panel data analysis

Prior studies indicate that expanding the length of roadways and railways has a beneficial effect on economic performance. Nevertheless, the requirement for land transport infrastructure, which offers different degrees of accessibility and mobility, to facilitate economic expansion differs based on a country's stage of development. The present study has two objectives. Firstly, it is essential to ascertain the required investment for different types of land transport infrastructure to facilitate different stages of economic performance. Secondly, the objective is to examine the impact of different forms of land transportation infrastructure on economic performance by means of urbanization and exports. To highlight these concerns, a fixed-effects panel linear regression analysis was conducted on a panel consisting of 50 countries spanning the years 1980–2018. In countries with lower levels of urbanization and exports, improvements to road infrastructure, especially roads with high accessibility, are of greater importance for economic performance compared to the improvement of railways. Nevertheless, as urbanization and exports rise, the comparative impact of improvements in road infrastructure on economic performance in relation to improvements in railway infrastructure diminishes. Railway improvements have a more significant effect on economic performance compared to road improvements, owing to increased urbanization and export rates. During these stages of development, high-mobility roads are more crucial for economic performance compared to high-accessibility roads. The conclusion of the research examined a variety of policy recommendations derived from our findings, which are applicable to different levels of urbanization and exports.

Rural-urban differences in older adults’ life satisfaction and its determining factors

Although determinants of life satisfaction in older adults have been well documented, research has to date failed to fully address the experience of older adults living in places with different levels of urbanization. Furthermore, there are conflictive findings regarding the type of residence environment that offers the greatest benefits for the wellbeing of older adults. Our study proposes an integrative research model to determine the nature of the relationships between loneliness, self-esteem and life satisfaction, with a particular focus on the living environment (rural-urban) of the older adults. Using a cross-sectional survey design volunteers (aged 60+) from rural (n = 198) and urban (n = 198) in Galicia (Spain) completed a questionnaire. Structural Equation Modelling (SEM) was used to test the relationships between loneliness, self-esteem and life satisfaction and multigroup analysis was performed to analyse the existence of differences in the relationships based on the area of residence of older adults. We found that higher levels of loneliness were a significant predictor of reduced life satisfaction and reduced self-esteem. Self-esteem not only increases life satisfaction, but also reduces the negative impact loneliness may have on it. Where the older adults lived had a significant effect on the relationships between loneliness, self-esteem and life satisfaction. The relationships were stronger for older adults living in urban areas. Differentiated policy initiatives should be considered, depending on the area of residence in order to increase the life satisfaction of older adults.

Prevalence of Pathogens in Free-Living Adult Chimango Caracaras (Milvago chimango) in Three Areas with Different Levels of Urbanization in the Pampas Ecoregion, Argentina

ABSTRACT Urbanization can adversely impact animal populations through factors such as loss of natural habitat, introduction of nonnative competitors and predators, pollution, and increased exposure to pathogens. Because they are top predators, raptors are considered good indicators of ecosystem health. However, there is limited information about how environmental factors associated with urbanization can alter raptors’ susceptibility to pathogens. We evaluated exposure to selected pathogens of the Chimango Caracara (Milvago chimango), a generalist and opportunistic species endemic to South America. This species is distributed over a wide range of environments, including urban areas, and often takes advantage of human-generated resources such as domestic waste, urban garbage, and carrion, potentially increasing its exposure to pathogens. We captured adult Chimango Caracaras in three areas that varied in level of urbanization, in the southeastern region of the Buenos Aires Province, Argentina. Captured individuals were tested for exposure to Bacillus anthracis, Salmonella spp., and Trichomonas spp. All individuals tested were negative for these pathogens. Whether this represents a true lack of exposure to these microorganisms, the ability of this raptor to effectively inhibit the colonization of the gastrointestinal tract by these microorganisms, or an inability of the pathogen to colonize the Chimango Caracara’s gastrointestinal tract remains to be determined. This is the first study to assess the prevalence of selected pathogens in Chimango Caracaras inhabiting areas with different levels of urbanization.

Cognitive flexibility in a generalist raptor: a comparative analysis along an urbanization gradient

Abstract In this study, we analyzed the variation in cognitive flexibility in the Chimango Caracara (Milvago chimango), across areas with different levels of urbanization. To assess this, we utilized the reversal learning assay which measures the ability to adapt behavior in response to changes in environmental contingencies. We also investigated the impact of neophobia on this variation. All chimangos studied succeeded in acquiring a color-reward association and reverting this learned association when the contingencies changed. Urban chimangos were faster than their rural and suburban counterparts during the initial discrimination and reversal phases. The reversal phase proved to be the most challenging task. The analysis of the errors made during this phase revealed that acquiring a new association (i.e. regressive errors) was challenging for the individuals studied, in comparison to inhibiting a previously learned one (i.e. perseverative errors). Neophobia was found to be lower in urban individuals compared to suburban and rural raptors. Moreover, neophobia showed a correlation with regressive errors during the reversal phase among rural and suburban chimangos, while no such correlation was observed among city-dwelling chimangos. We suggest that neophobia acted as a regulating factor of cognitive flexibility, mainly for individuals expressing relatively high levels of this personality trait.

China’s safe and just space during 40 years of rapid urbanization and changing policies

ContextChina’s high-speed economic development was accompanied by rapid urbanization for forty years, guided by a series of changing policies enacted by the central government. However, did China become more sustainable both economically and environmentally? Or more specifically, did it operate within or towards a safe and just space (SJS)? Although numerous relevant studies exist, these questions have not been adequately addressed, and a multi-scale landscape perspective is needed.ObjectivesThe main objective of this study was to examine China’s urbanization trends, associated institutional changes, and their impacts on the nation’s sustainability trajectory during the past four decades. Specifically, we intended to analyze the impacts of urbanization and related policies on the spatial patterns, temporal trends, shortfalls, and complex nexus of the different dimensions of SJS across scales in China.MethodsWe apply the SJS framework, which integrates eight environmental ceilings and seven social justice foundations, to examine China’s urbanization, socioeconomic dynamics, and institutional changes, as well as their impacts on sustainability at multiple spatial scales. Segmented regression and correlation analysis were used to analyze the relationship of SJS with landscape urbanization and governance across China.ResultsSince the implementation of China’s Western Development Plan, China has faced increasing challenges of overshoots in CO2 emissions, phosphorus and nitrogen loading, ecological footprint, and material footprint on a per capita basis. However, our analysis showed that, by 2015, China met nearly all basic social justice needs. The pattern of SJS showed geospatial gradients of increasing social justice (except material footprint), multi-footprints, and CO2 from eastern to central, northeastern, and western regions, and from developed to developing provinces. The tradeoffs between social justice, environmental safety, and regional equality remain pronounced across heterogeneous landscapes with different levels of urbanization. The western region’s material footprint expanded enormously, but mainly for consumption in the eastern region of China.ConclusionsChina’s development in the past four decades is characterized by enormous economic growth, rapid urbanization, much improved living standards, highly fragmented landscapes, and increasing environmental problems. To promote sustainability, China should continue to implement the strategy of high-quality development and promote ecological civilization. Regional landscape-based approaches are needed to explicitly recognize geospatial heterogeneity and disparities, and better understand the urbanization-governance-landscape nexus for promoting a safer and more just China.

Quantifying the impact of urbanization on wet deposition over Xiong'an New Area in northern China

AbstractXiong'an New Area (XNA) in China is undergoing rapid urbanization due to economic development and population growth. However, the urbanization process can significantly impact the local environment. This study applied a combined method of Weather Research and Forecasting (WRF) and empirical calculations to quantitatively identify changes in precipitation and wet deposition over XNA and its internal lake, Baiyangdian (BYD), during the summer months of June to September. Five different urbanization scenarios were established by varying the WRF subsurface conditions. By comparing these scenarios with historical observations, it was found that WRF simulations could effectively reproduce the precipitation and temperature changes in the region. This study examined how different levels of urbanization affect precipitation and estimated changes in PM2.5 wet deposition. The study's results indicate that as urbanization increases, it leads to an increase in precipitation and wet deposition in the XNA region. Using the relatively low urbanization level in 1980 as a benchmark for comparison, it was observed that when XNA becomes fully urbanized, the increase in precipitation and wet deposition in the region exceeds 7%. The BYD Lake can have a moderating effect on the environment, absorbing more than 50% of the local precipitation and PM2.5 wet deposition with less than 25% of its area, compared to the XNA interval of the statistics, while the increase in wet deposition in the BYD Lake area is more than 4% after full urbanization in XNA. The findings also emphasize the importance of the need to balance economic growth and environmental protection in urban planning and development.

Evaluation of impact of land use and landscape metrics on surface water quality in the northeastern part along Lake Tanganyika, Africa.

As the second deepest lake in Africa, Lake Tanganyika plays an important role in supplying fish protein for the catchment's residents and is irreplaceable in global biodiversity. However, the lake's water environment is threatened by socioeconomic development and rapid population growth along the lake. This study analyzed the spatial scale effects and seasonal dependence of land use types and landscape metrics on water quality in 16 sub-basins along northeastern Lake Tanganyika at different levels of urbanization. The results revealed that land use types had a higher influence on water quality in urban areas than that in rural areas; the explanatory variance in the urban area was 0.78-0.96, while it was 0.21-0.70 in the rural area. The explanatory ability of land use types on water quality was better at the buffer scale than at the sub-watershed scale, and the 500m buffer scale had the highest explanatory ability in the urban area and rural area both in the rainy season and dry season, and artificial surface and arable land were the main contributing factors. And this phenomenon was more obvious in dry season than in rainy season. We identified that CONTAG was the key landscape metric in urban area and was positively correlated with nutrient variables, indicating that water quality degraded in less fragmented landscapes. The sub-watershed scale had the highest explained ability, while in rural area, the 1500m buffer scale had the highest explained ability and IJI had the highest explanatory variance, which had a negative effect on water quality. Research on the relationship between land use and water quality would help assess the water quality in the unmonitored watershed as monitoring is expensive and time-consuming in low-income area. This knowledge would provide guideline to watershed managers and policymakers to prioritize the future land use development within Lake Tanganyika basin.

The Aspiration to Stay: A Global Analysis

There is growing interest from both policy and academic communities in understanding why people do not migrate. This article offers the first global analysis of the aspiration to stay, defined here as the preference to stay in one's country of residence. We make use of the unique Gallup World Polls which provide information on aspirations to stay (as opposed to migrating abroad) as well as on individual characteristics and opinions for 130 countries worldwide between 2010 and 2016. We find staying aspirations are far more common than migration aspirations across the globe and uncover important “retain factors” often overlooked in research on migration drivers — related to social ties, local amenities, trust in community institutions, and life satisfaction. Overall, those who aspire to stay tend to be more content, socially supported and live in communities with stronger institutions and better local amenities. We further explore differences in the relative importance of retain factors for countries at different levels of urbanization, and for different population groups, based on gender, education, rural/urban location, migration history, religiosity, and perceived thriving. Our findings contribute to a more holistic understanding of migration decision-making, illuminating the personal, social, economic, and institutional retain factors countering those that push and pull.

Blue-green infrastructure and biodiversity: Urbanization and forestation have an important influence on bird diversity in water habitats

Water and forest habitats are an indispensable part of the blue-green infrastructure, a network that provides solutions for urban climatic challenges by building with nature. We were interested in the effect of water areas and the surrounding environment on bird species richness; specifically, we studied the influence of different levels of urbanization and related forestation. We focused on water, arboreal and ground bird assemblages in forested and nonforested water habitats in a 2000 km2 lowland area of Polabí in the Czech Republic at three urbanization levels: (i) urban, (ii) rural and (iii) open landscapes. The results revealed that ground birds were positively influenced by urban areas, while arboreal birds benefitted from surrounding forestation and tree vegetation on water banks. Overall, the results for native bird assemblages were not different, except that native water birds appeared to thrive in no settlement. The positive relationship between ground birds and urbanization and the weak negative relationship or lack of relationship between urbanization and the other groups were somewhat unexpected. The most likely reason is that water habitats are not as homogenized as other urban habitats. Surrounding forests could also help buffer the influences of urbanized areas. We conclude that blue-green infrastructure is also an essential environment for many birds.

The negative impacts of human activities on the ecological corridor in the karst highly urbanized area are gradually diminishing: A case study from the karst mountain cities in Southwest China

Karst mountain cities are important population agglomerations in southwestern China, as well as integral components of the significant regional economic belt - the Central Guizhou Economic Belt. Ecological corridors serve as crucial pathways for species migration and play a vital role in integrating regional habitats, particularly in the highly fragmented and ecologically vulnerable karst areas. However, it is not yet clear how human activities and natural factors drive the distribution of ecological corridors in the rapidly expanding urban areas of karst region. In light of this, based on multi-source data from 2005 to 2020, this study identified ecological source areas using ecological sensitivity analysis and a resistance surface model was adjusted using the rocky desertification factor. The Minimum Cumulative Resistance (MCR) model was employed to extract ecological corridors for each of the four time periods. Furthermore, space syntax analysis was conducted to evaluate the selection, integration, and depth of the corridors under different levels of urbanization. Finally, correlation analysis in R language was performed to determine the degree of influence of various driving factors on the distribution of ecological corridors. Our findings indicate that during the urbanization process, the negative impact of human disturbance factors on corridor distribution in highly urbanized areas has decreased. And the overall development of ecological corridors in the research region has shown improvement over the past 20 years. However, extreme climatic conditions have negatively affected the distribution of ecological corridors. Additionally, policy-driven measures will have an impact on the distribution of ecological corridors. By exploring the spatiotemporal differentiation and driving mechanisms of corridors in Karst mountain cities over the past two decades, our research will provide scientific evidence for biodiversity conservation and the construction of ecologically secure environments in karst areas.

Effect of touristic activities on seabirds’ habitat selection on sandy beaches

Seabirds are biological models for habitat selection studies at different spatial scales. In general, seabirds select areas with a higher availability of prey, but human disturbances can modify their spatial and temporal foraging patterns in urban coastal ecosystems. Here we tested the hypothesis that human activities prevent seabirds foraging on beach sectors that are impacted by urbanization and recreational activities. Seabirds were counted while foraging at the interface between the surf zone and foreshore in three sectors with different levels of urbanization in southeastern Brazil. Physical variables, prey abundance, and human stressors, such as the number of people and dogs, were also measured. The brown booby Sula leucogaster foraged mainly in the least impacted sector, despite the lower abundance of prey and harsher physical conditions. The number of individuals of this species was negatively related to the number of people, indicating a human-induced avoidance behaviour. In turn, the kelp gull Larus dominicanus, a synatropic species, was more abundant in the high impact sector. Our results have implications for the management and conservation of sandy beaches, especially regarding the zoning and selection of priority areas for environmental protection and nature-based ecotourism activities.

Decoupling the heterogeneity of sediment microbial communities along the urbanization gradients: A Bayesian-based approach

Comprehending the response of microbial communities in rivers along urbanization gradients to hydrologic characteristics and pollution sources is critical for effective watershed management. However, the effects of complex factors on riverine microbial communities remain poorly understood. Thus, we established a bacteria-based index of biotic integrity (Ba-IBI) to evaluate the microbial community heterogeneity of rivers along an urbanization gradient. To examine the response of Ba-IBI to multiple stressors, we employed a Bayesian network based on structural equation modeling (SEM-BN) and revealed the key control factors influencing Ba-IBI at different levels of urbanization. Our findings highlight that waterborne nutrients have the most significant direct impact on Ba-IBI (r = −0.563), with a particular emphasis on ammonia nitrogen, which emerged as the primary driver of microbial community heterogeneity in the Liuyang River basin. In addition, our study confirmed the substantial adverse effects of urbanization on river ecology, as urban land use had the greatest indirect effect on Ba-IBI (r = −0.460). Specifically, the discharge load from wastewater treatment plants (WWTP) was found to significantly negatively affect the Ba-IBI of the entire watershed. In the low urbanized watersheds, rice cultivation (RC) and concentrated animal feeding operations (CAFO) are key control factors, and an increase in their emissions can lead to a sharp decrease in Ba-IBI. In moderately urbanized watersheds, the Ba-IBI tended to decrease as the level of RC emissions increased, while in those with moderate RC emissions, an increase in point source emissions mitigated the negative impact of RC on Ba-IBI. In highly urbanized watersheds, Ba-IBI was not sensitive to changes in stressors. Overall, our study presents a novel approach by integrating Ba-IBI with multi-scenario analysis tools to assess the effects of multiple stressors on microbial communities in river sediments, providing valuable insights for more refined environmental decision-making.

Examining the impact of urban-rural spatial structure on mobility networks: A case study of taxis

Urban livability and sustainability require a deeper understanding of the impact of urban spatial structure on human mobility. Here two mobility networks generated from two taxi data from two cities (Chengdu and New York City) are used to explore human intra-urban mobility. Through the network analysis, we found that many measures of two mobility networks present a two-segment feature. Combined with the map and population distribution, we demonstrate that the two segments correspond to the central and non-central regions of the city, respectively, which means hierarchical mobility related to urban-rural structure exists in both cities, although they have different levels of urbanization. We comprehensively analyze the impact of urban-rural spatial structure on the nature of mobility networks. The central and non-central regions differ significantly in the heterogeneity of human mobility and present different ranges and directions of trips, like the large degree nodes, showing a flared entry and exit pattern. We improved a gravity model by introducing flows to and from the node instead of population to predict the traffic between different nodes, and the prediction results also vary significantly between the two regions. These findings are valuable for understanding the relationship between urban-rural spatial structure and human mobility.

Woody plant functional traits and phylogenetic signals correlate with urbanization in remnant forest patches.

Exploring the alterations in functional traits of urban remnant vegetation offers a more comprehensive perspective on plant assembly within the context of urbanization. While plant functional traits are influenced by both environmental gradients and the evolutionary history of plant species, the specific mechanisms by which urbanization mediates the combination of functional traits and the evolutionary history of remnant vegetation remain unclear. To examine the relationship between functional traits and phylogenies of remnant vegetation and urbanization, we classified the woody plant species surveyed in 72 sample plots in nine remnant forest patches in Guiyang, China, into four groups (urban, rural, middle and general groups) according to their location under different levels of urbanization and measured nine functional traits of these species. The phylogenetic signals of each functional trait of the four species groups were then quantified based on Blomberg's K. Furthermore, we analysed the correlations between functional traits and species abundance using phylogenetic generalized least squares. The results showed that significant phylogenetic signals were detected in more functional traits of the urban group than other groups. Thirteen and three significant relationships between functional traits and species abundance were detected for tree and shrub species after removing phylogenies. Tall tree species were more abundant in the urban group, while the general group favoured the species with adaptable traits (low height and high leaf area and C/N). Overall, we demonstrate that urbanization drove shifts in plant functional traits in remnant forests after combining the phylogenetic patterns.

Effects of urbanization and lifestyle habits on the intestinal microbiota of adolescents in eastern China.

Owing to urbanization, living habits have changed widely, leading to alterations in the intestinal microbiota of urban residents. However, there are few studies on the characteristics of intestinal microbiota of adolescents living in different urbanized areas in China. A total of 302 fecal samples collected from adolescent students in eastern China were examined. 16S rRNA high-throughput sequencing was used to identify the fecal microbiota. These data were combined with questionnaire survey results to investigate the effect of urbanization on the intestinal microbiota of adolescents in eastern China. Moreover, the role of lifestyle habits in this relationship was also evaluated. The results revealed significant differences in the structure of the intestinal microbiota among adolescents living in regions with different levels of urbanization. Adolescents living in urban regions had a significantly higher proportion of Bacteroides (p < 0.001, FDR = 0.004), whereas those living in towns and rural regions had higher proportions of Bifidobacterium (p < 0.001, FDR < 0.001) and Prevotella (p < 0.05, FDR = 0.019). The diversity of the intestinal microbiota was higher in urban residents than in adolescents living in towns and rural regions (p < 0.05). In addition, the differences in intestinal microbiota across individuals living in cities, towns, and rural regions were related to dietary preferences, flavor preferences, and sleep and exercise durations. Adolescents who ate more meat had more Dorea (LDA = 3.622, p = 0.04), while the abundance of Escherichia-Shigella is higher among adolescents who ate more condiments (LDA = 4.285, p = 0.02). The abundance of Dialister was significantly increased in adolescents with longer sleep durations (LDA = 4.066, p = 0.03). Adolescents who exercised for a long duration had more Faecalibacterium than those who exercised for a shorter duration (LDA = 4.303, p = 0.04). Our research has preliminarily demonstrated that there were differences in the composition of Gut microbiome in stool samples of adolescents living in different urbanized areas, and provide a scientific basis for the maintenance of a healthy intentional microbota in adolescences.

Butterfly Communities Vary under Different Urbanization Types in City Parks.

Butterflies are key indicators of urban biodiversity and one of the most vulnerable organism groups to environmental changes. Studying how butterflies are distributed and what factors might influence them in urban green spaces is crucial. In this study, from July 2022 to September 2022, we examined and analyzed the butterfly diversity in nine parks in Fuzhou, China, along three different levels of urbanization (urban, peri-urban, and suburban). We investigated how butterfly communities respond to increasing urbanization. The findings revealed that: (1) A total of 427 butterfly individuals from 4 families and 13 species were observed; (2) Shannon diversity, richness, and abundance of the overall butterfly community were lower in the more urbanized parks. Urbanization had significant effects on Shannon diversity (p = 0.003) and abundance (p = 0.007) but no significant effects on the whole butterfly community richness (p = 0.241); (3) non-metric multidimensional scaling revealed that there were differences in the overall number of butterfly species in urban parks among different geographic regions.