scholarly journals Spatial patterns of habitat distribution of Corvidae (the case of urban-rural gradient)

2016 ◽  
Vol 24 (2) ◽  
Author(s):  
А. A. Zimaroyeva ◽  
A. V. Matsyura ◽  
K. Jankowski
Keyword(s):  
Spatial Distribution ◽  
Urban Areas ◽  
Average Density ◽  
Winter Period ◽  
Breeding Period ◽  
Urban Habitats ◽  
Common Raven ◽  
Urban Rural ◽  
Hooded Crows ◽  
The Impact

The spatial distribution and abundance of Corvidae species in Zhytomyr region was studied in terms of the urban-rural gradient. We selected Rook (Corvus frugilegus L.), Eurasian Jackdaw (C. monedula L.), Hooded Crow (C. cornix L.), Common Raven (C. corax L.), Eurasian Magpie (Pica pica L.) and Eurasian Jay (Garrulus glandarius L.) for our observations during 2009–2012. Some 38 survey routes totaling more than 8000 km were surveyed in 21 settlements in Zhytomyr region. Among them 13 routes were in Zhytomyr city. The average density of Rooks was 55.9 birds/km2. We found a strong correlation between Rook density and rural-urban gradient and observed that the numbers of wintering Rooks in cities significantly increased due to the influx from villages. The peak number of Rooks in villages was registered in the breeding and post-breeding seasons while in the cities it was high in winter and during the spring migration. The average density of Eurasian Magpies in the study area was 8.7 birds/km2 and we registered weak correlation with the urban-rural gradient. Their maximum density in urban habitats was in the winter period whereas the highest density in rural habitats was fixed in the summer months. The density of Magpies varied insignificantly within a narrow range during the three years of research, which suggests the species has successfully adjusted to the transformed landscapes. Average density of Hooded Crows in towns was 6.6 birds/km2. The linear relationship between the urban-rural gradient and the density of this species was rather weak. In the breeding period, the birds’ density was considerably higher in urban habitats. We also registered that the average density of Hooded Crows changed insignificantly but gradually increased during the study period. The average density of Eurasian Jackdaws was 9.7 birds/km2 and had high annual dynamics. It also changed significantly during the three years of research. The average density of Eurasian Jays was 2.4 birds/km2 and varied significantly in different settlements, although the fluctuation range was small (0.1–9.3 birds/km2). We registered an expansion in the breeding distribution of Eurasian Jays in recent years i.e. the birds began to nest in old urban neighborhoods and small central parks of large cities. However, the number of birds naturally decreased along the gradient of landscape transformation. The impact of urban-rural gradient on Eurasian Jay density was significant but the correlation was weak and negative. The density of this species was highest in small villages (4.9 birds/km2) and the lowest in medium-sized cities (1.5 birds/km2). The seasonal density of Jays varied significantly and the greatest value was registered in the post-breeding period. In urban areas the birds’ density was much higher in winter compared to the nesting period, and in villages we observed the reverse situation. The number of Eurasian Jays remained almost stable in all the settlements during the study period indicating the stability of the local populations. The average density of the Common Raven was 1.3 birds/km2 and the highest density was registered in small villages (2.2 birds/km2), the lowest – in the townships (small urban type settlements) (0.6 birds/km2). The urban-rural gradient significantly affected the spatial distribution of Common Ravens, but we cannot claim an increase or decrease in their numbers along the gradient of urbanization, since the value of this indicator also depended on habitat conditions in each specific settlement. The spatial distribution of Common Ravens varied seasonally and the highest density was typical in winter due to food migrations towards human settlements.

scholarly journals Spatial distribution of Corvidae in transformed landscapes of Zhytomyr region

2016 ◽  
Vol 24 (1) ◽  
pp. 40-49
Author(s):  
A. V. Matsyura ◽  
A. A. Zimaroyeva
Keyword(s):  
Spatial Distribution ◽  
Breeding Season ◽  
Urban Areas ◽  
Average Density ◽  
Winter Period ◽  
Breeding Period ◽  
Urban Gradient ◽  
Peak Number ◽  
Common Raven ◽  
Urban Rural

The spatial distribution and abundance of Corvidae species was studied in Zhytomyr region with a focus on rural and urban differences in the studied parameters. We selected Rook (Corvus frugilegus L.), Western Jackdaw (C. monedula L.), Hooded Crow (C. cornix L.), Eurasian Magpie (Pica pica L.), Eurasian Jay (Garrulus glandarius L.), and Common Raven (Corvus corax L.). All observations were made during 2009–2012. During the study period some 38 survey paths of more than 8,000 km were surveyed in 21 settlements of Zhytomyr region, among them 13 were in Zhytomyr city. The aim of our study was to establish the number and density of Corvidae in different seasons in the settlements of Zhytomyr region along a rural-urban gradient. The average density of Rooks was 55.9 ind./km2. We also found a strong correlation between Rook density and the rural-urban gradient and observed that the number of Rooks wintering in cities significantly increased due to the influx from villages. The peak number of Rooks in villages was registered in the breeding and post-breeding season while in the cities it was high in winter and during the spring migration. The average density of Eurasian Magpie in the study area was 8.7 ind./km2 and had a weak correlation with the urban-rural gradient. The density of Eurasian Magpies in urban areas differs significantly only from the density of birds in villages with a population of ca. 1,000 people. The density of Magpies varied insignificantly within a narrow range during the three years of research, remaining relatively stable, which suggests that the species successfully adjusts to conditions in transformed landscapes. The urban-rural gradient significantly affects the density of Hooded Crows. The average density of birds in towns was 6.6 ind./km2. In breeding period the urban birds had a low density and rural crows, on the contrary, had a high density, the density of birds in the nesting period was greater than in autumn and winter, due to the distribution of birds in their breeding territories and the start of the reproductive cycle. The average density of Eurasian Jackdaw was 9.7 ind./km2 and the rural-urban gradient significantly affected the number of birds. For jackdaws we registered high annual population dynamics. The peak number of birds was observed in the winter period in cities and small towns while in villages it was registered in the breeding and post-breeding season. The average density of Eurasian Jay was 2.4 ind./km2 and varied significantly in different settlements, although the fluctuation range was small (0.1–9.3 ind./km2). The number of this species naturally decreases along the gradient of landscape transformation. The highest average density was typical in small villages (4.9 ind./km2) and the lowest was found in medium-sized cities (1.5 ind./km2). We have identified certain patterns in the seasonal dynamic of Eurasian Jays relative to the type of settlement. In urban areas the birds’ density was much higher in winter compared to the nesting period, and in villages we observed the reverse situation. The average density of Common Raven was 1.3 ind./km2. The highest density was registered in small villages and was 2.2 ind./km2, and the smallest in the villages of urban type (0.6 ind./km2). The urban-rural gradient significantly affected the spatial distribution of Common Raven, but we cannot state that this bird increased or decreased its number along the gradient of urbanization, since the value of this indicator also depended on habitat conditions in specific settlements. The spatial distribution of Common Ravens varied seasonally and the highest density was typical in winter due to food migrations to human settlements.

scholarly journals Seasonal variation and spatial distribution of carbonaceous aerosols in Taiwan

2010 ◽  
Vol 10 (19) ◽  
pp. 9563-9578 ◽  
Author(s):  
C. C.-K. Chou ◽  
C. T. Lee ◽  
M. T. Cheng ◽  
C. S. Yuan ◽  
S. J. Chen ◽  
...  
Keyword(s):  
Spatial Distribution ◽  
Rural Areas ◽  
Urban Areas ◽  
Air Pollutants ◽  
Chemical Properties ◽  
Anthropogenic Sources ◽  
Carbonaceous Aerosols ◽  
Urban Rural ◽  
Southern Taiwan ◽  
Northern Taiwan

Abstract. To investigate the physico-chemical properties of aerosols in Taiwan, an observation network was initiated in 2003. In this work, the measurements of the mass concentration and carbonaceous composition of PM10 and PM2.5 are presented. Analysis on the data collected in the first 5-years, from 2003 to 2007, showed that there was a very strong contrast in the aerosol concentration and composition between the rural and the urban/suburban stations. The five-year means of EC at the respective stations ranged from 0.9±0.04 to 4.2±0.1 μgC m−3. In rural areas, EC accounted for 2–3% of PM10 and 3–5% of PM2.5 mass loadings, comparing to 4–6% of PM10 and 4–8% of PM2.5 in the urban areas. It was found that the spatial distribution of EC was consistent with CO and NOx across the network stations, suggesting that the levels of EC over Taiwan were dominated by local sources. The measured OC was split into POC and SOC counterparts following the EC tracer method. Five-year means of POC ranged from 1.8±0.1 to 9.7±0.2 μgC m−3 among the stations. It was estimated that the POM contributed 5–17% of PM10 and 7–18% of PM2.5 in Taiwan. On the other hand, the five-year means of SOC ranged from 1.5±0.1 to 3.8±.3 μgC m−3. The mass fractions of SOM were estimated to be 9–19% in PM10 and 14–22% in PM2.5. The results showed that the SOC did not exhibit significant urban-rural contrast as did the POC and EC. A significant cross-station correlation between SOC and total oxidant was observed, which means the spatial distribution of SOC in Taiwan was dominated by the oxidant mixing ratio. Besides, correlation was also found between SOC and particulate nitrate, implying that the precursors of SOA were mainly from local anthropogenic sources. In addition to the spatial distribution, the carbonaceous aerosols also exhibited distinct seasonality. In northern Taiwan, the concentrations of all the three carbonaceous components (EC, POC, and SOC) reached their respective minima in the fall season. POC and EC increased drastically in winter and peaked in spring, whereas the SOC was characterized by a bimodal pattern with the maximal concentration in winter and a second mode in summertime. In southern Taiwan, minimal levels of POC and EC occurred consistently in summer and the maxima were observed in winter, whereas the SOC peaked in summer and declined in wintertime. The discrepancies in the seasonality of carbonaceous aerosols between northern and southern Taiwan were most likely caused by the seasonal meteorological settings that dominated the dispersion of air pollutants. Moreover, it was inferred that the Asian pollution outbreaks could have shifted the seasonal maxima of air pollutants from winter to spring in the northern Taiwan, and that the increases in biogenic SOA precursors and the enhancement in SOA yield were responsible for the elevated SOC concentrations in summer.

Regional modeling of urban climate: the impact of physical process representation

2020 ◽  
Author(s):  
Peter Huszár ◽  
Jan Karlický ◽  
jana Ďoubalová ◽  
Tereza Nováková ◽  
Filip Švábik ◽  
...  
Keyword(s):  
Boundary Layer ◽  
Urban Areas ◽  
Climate Model ◽  
Numerical Models ◽  
Absolute Humidity ◽  
Average Wind Speed ◽  
Substantial Impact ◽  
Mitigation And Adaptation ◽  
Urban Rural ◽  
The Impact

<p>The urban heat island (UHI) is a relaively old concept and has been widely studied using both observational and modeling approches. However, urban canopies impact the meteorological conditions in the planetary boundary layer (PBL) and above in many other ways, e.g. urban breeze circulation can form, enhanced drag causes intensification of the turbulent diffusion leading to elevated PBL height, reduced evaporation results in decreased absolute humidity, changes in cloudiness etc.<br>A well established regional model representation of these phenomena is crucial for both mitigation and adaptation in areas affected by intense urbanization and climate change. There are however large uncertainities how the underlying physical processes are represented in numerical models, i.e. what models are used along with which parameterizations and parameters.</p><p>Here we perform a regional multi-model analysis over central Europe using the Regional Climate Model (RegCM4) and Weather Research and Forecast (WRF) regional models with different configurations representing different PBL treatment, convection parameterization, surface layer physics, microphysics and urban canopy models. Model results are extensively compared to surface measurements as well as satellite observation of surface temperatures. We analyse the model results mainly in terms of the urban-rural contrast which is a measure of the difference between the urban core value and the vicitinity (with respect to the particular city) for selected meteorological parameters. Our results show substantial impact of the choice of the model as well as the choice of parameterization on the intensity of UHI and other meteorological effects. The urban-rural difference of PBL height and average wind speed between urban areas and their vicinity is affected the most, controlled by the boundary layer physics parameterization.<br>Our simulations confirm the large uncertainity in how models resolve the meteorological features specific to urbanized areas and this has to be taken into account when designing different strategies for urban planning and multimodel approaches should be preferred.<br><br></p>

scholarly journals Epidemiology of leptospirosis in Colombia between 2007 and 2015

2020 ◽  
Vol 39 (1) ◽  
pp. 1-14
Author(s):  
Clara S. Arias-Monsalve ◽  
Daniela Salas Botero ◽  
Maria Rita Donalisio
Keyword(s):  
Spatial Distribution ◽  
Urban Areas ◽  
Ecological Study ◽  
Temporal Trend ◽  
Large Degree ◽  
San Jose ◽  
Epidemiological Analysis ◽  
Urban Rural ◽  
Valle Del Cauca ◽  
Municipal Level

Objective: to perform an epidemiological analysis of human leptospirosis in  (n=1747), Atlántico (n=1159); the incidence varied between 2 (Arauca) and 465.4 (Guaviare) per 100,000 inhabitants. At the municipal level, Cali had the highest number of cases (n=682), followed by Barranquilla (n=612) and San José del Guaviare Colombia at the national, departmental and municipal levels for the period between January 2007 and December 2015. Methodology: A retrospective ecological study of the temporal trend and spatial distribution of leptospirosis cases reported between January 2007 and December 2015 was conducted. The variables of sex, age, municipality of residence, area of residence (urban, rural), date of onset of symptoms, and lethality were analyzed. Results: A total of 23,994 suspected cases were reported, of which 39.51% were confirmed; 82.4% came from urban areas; 68.87% presented in men; the lethality was 2.66%  in men and 2.04% in women. The departments with the highest  number of cases were Valle del Cauca (n=2032), Antioquia (n=448). The highest incidence was 1597.6 in Pueblo Rico (Risaralda), followed by Sabanas de San Ángel (Magdalena) with 883.4 and San José del Guaviare (Guaviare) with 742.5; the majority of municipalities had incidences between 0 and 50 per 100,000 inhabitants. Conclusions: Leptospirosis is distributed throughout Colombia with 85% of the cases concentrated in 10 of its 32 departments. At the municipal level there is a large degree of variation in annual incidences. Six hotspots for cases were also identified, indicating that there are areas of high risk for the disease

scholarly journals Numerical Study of the Interaction between Oasis and Urban Areas within an Arid Mountains-Desert System in Xinjiang, China

Atmosphere ◽  
2020 ◽  
Vol 11 (1) ◽  
pp. 85
Author(s):  
Peng Cai ◽  
Rafiq Hamdi ◽  
Huili He ◽  
Geping Luo ◽  
Jin Wang ◽  
...  
Keyword(s):  
Land Surface ◽  
Urban Areas ◽  
Climate Model ◽  
Numerical Study ◽  
Urban Expansion ◽  
Regional Climate ◽  
Maximum Effect ◽  
Local Circulation ◽  
Urban Rural ◽  
The Impact

The rapid oasis expansion and urbanization that occurred in Xinjiang province (China) in the last decades have greatly modified the land surface energy balance and influenced the local circulation under the arid mountains-plain background system. In this study, we first evaluated the ALARO regional climate model coupled to the land surface scheme SURFEX at 4 km resolution using 53 national climatological stations and 5 automatic weather stations. We found that the model correctly simulates daily and hourly variation of 2 m temperature and relative humidity. A 4-day clear sky period has been chosen to study both local atmospheric circulations and their mutual interaction. Observations and simulations both show that a low-level divergence over oasis appears between 19:00 and 21:00 Beijing Time when the background mountain-plain wind system is weak. The model simulates a synergistic interaction between the oasis-desert breeze and urban-rural breeze from 16:00 until 22:00 with a maximum effect at 20:00 when the downdraft over oasis (updraft over urban) areas increases by 0.8 (0.4) Pa/s. The results show that the oasis expansion decreases the nocturnal urban heat island in the city of Urumqi by 0.8 °C, while the impact of urban expansion on the oasis cold island is negligible.

scholarly journals Spatial evaluation of complex non-point source pollution in urban–rural watershed using fuzzy system

2013 ◽  
Vol 16 (1) ◽  
pp. 114-129 ◽  
Author(s):  
Haijun Wang ◽  
Wenting Zhang ◽  
Song Hong ◽  
Yanhua Zhuang ◽  
Hongyan Lin ◽  
...  
Keyword(s):  
Water Quality ◽  
Land Use ◽  
Point Source ◽  
Fuzzy System ◽  
Urban Areas ◽  
Rapid Urbanization ◽  
Nps Pollution ◽  
Urban Rural ◽  
Rural Place ◽  
The Impact

Non-point source (NPS) pollution has become the major reason for water quality deterioration. Due to the differences in the generation and transportation mechanisms between urban areas and rural areas, different models are needed in rural and urban places. Since land use has been rapidly changing, it is difficult to define the study area as city or country absolutely and the complex NPS pollution in these urban–rural mixed places are difficult to evaluate using an urban or rural model. To address this issue, a fuzzy system-based approach of modeling complex NPS pollutant is proposed concerning the fuzziness of each land use and the ratio of belonging to an urban or rural place. The characteristic of land use, impact of city center and traffic condition were used to describe spatial membership of belonging to an urban or rural place. According to the spatial membership of belonging to an urban or rural place, the NPS distributions calculated by the urban model and rural model respectively were combined. To validate the method, Donghu Lake, which is undergoing rapid urbanization, was selected as the case study area. The results showed that the urban NPS pollutant load was significantly higher than that of the rural area. The land usage influenced the pollution more than other factors such as slope or precipitation. It also suggested that the impact of the urbanization process on water quality is noteworthy.

scholarly journals The Burden of Seizures in Manitoba Children: A Population-Based Study

2004 ◽  
Vol 31 (1) ◽  
pp. 48-52 ◽  
Author(s):  
Anita L. Kozyrskyj ◽  
Asuri N. Prasad
Keyword(s):  
Health Care ◽  
Urban Areas ◽  
Census Data ◽  
Population Based ◽  
Care Utilization ◽  
Published Data ◽  
Prevalence Rates ◽  
Seizure Disorders ◽  
Urban Rural ◽  
The Impact

Background:Population-based studies are necessary to better understand the risk factors for developing seizure disorders and the impact of these conditions on children. We undertook an assessment of the prevalence of seizure disorders in a population of children on the basis of health care utilization records.Methods:Using Manitoba’s population-based prescription and health care data for 1998/99, the prevalence of children with seizure disorders, on the basis of at least one physician visit or hospitalization for epilepsy or a prescription for an antiepileptic drug, was determined by age, urban/rural region and socioeconomic status. The latter was measured as neighbourhoods stratified by income quintiles according to Census data.Results:Age-specific prevalence rates for seizure disorders in Manitoba children, determined from health care administrative records, were similar to published data on the prevalence of epilepsy, with one exception. Prevalence rates in adolescents were higher than those reported in the literature. No statistically significant differences in prevalence rates were observed between urban and rural populations. However, a higher prevalence was found among children of all ages living in lower socioeconomic neighbourhoods in urban areas, which presented as a gradient of increased prevalence with decreased levels of income.Conclusion:Population-based health care administrative data can be used to describe the geographical distribution of seizure disorders. Our data suggest that the burden of seizure disorders is not evenly distributed among children.

scholarly journals Does Digital Inclusive Finance Promote Commercial Insurance Participation? -- An Empirical Study Based on the Digital Inclusive Finance Index and China Family Panel Studies Data

2021 ◽  
Author(s):  
Zaikun Hou ◽  
Wenjie Li ◽  
Wangchen Lu ◽  
Yue Gao
Keyword(s):  
Urban Areas ◽  
Financial Knowledge ◽  
Risk Averse ◽  
Commercial Insurance ◽  
Structural Differences ◽  
Central Regions ◽  
Peking University ◽  
Urban Rural ◽  
Panel Studies ◽  
The Impact

<p>This paper matches the "Peking University Digital Inclusive Finance Index" published by Peking University Digital Finance Research Center with the 2018 China Family Panel Studies (CFPS) database, and uses Probit and Logit models to empirically investigate the impact of digital inclusive finance on impact of household commercial insurance participation. The findings show that, first, the development of digital inclusive finance significantly increases commercial insurance participation, and this effect remains significant after adding control variables or changing models; second, the impact of digital inclusive finance on commercial insurance participation shows structural differences by urban-rural, regional, and risk preferences. At the urban-rural level, the impact of digital inclusive finance on commercial insurance participation is significantly higher in rural than in urban areas; at the regional level, the impact of digital inclusive finance is greater in western regions than in eastern and central regions; at the risk preference level, the impact of digital inclusive finance on commercial insurance participation is higher in risk-averse groups than in risk-averse groups. Based on the above findings, this paper proposes to accelerate the development of digital inclusive finance, especially focusing on the construction of digital inclusive finance in less developed regions; improve the financial market system, strengthen the supervision of insurance products; and increase the popularization of financial knowledge.</p>

scholarly journals Integration of Rural and Urban Society in China and Implications for Urbanization, Infrastructure, Land and Labor in the New Era

2019 ◽  
pp. 1-13
Author(s):  
Haiying Feng ◽  
Victor R. Squires
Keyword(s):  
Land Use Planning ◽  
Urban Areas ◽  
Urban Migration ◽  
New Era ◽  
Services Sector ◽  
Rapid Economic Growth ◽  
Rural And Urban ◽  
Urban Rural ◽  
Urban Population Growth ◽  
The Impact

In many parts of China, rapid economic growth, socio-economic inequality, and environmental degradation (air, water, soil) are undermining social stability and sustainable urbanization. Rural-urban migration is the main factor contributing to urban population growth. Economic opportunity in urban areas is the main ‘pull factor’ but government policies provide a ‘push factor’. A model of the relationship over time of the rural sector and the urban sectors, mainly relating to the focus on manufacturing and the services sector, is discussed. Each sector provides a market for the other. We use three cameos of different types of urban-rural development taking examples from a Prefecture-level city of about 500,000 population located in Guangxi Autonomous Region in south east China. We analyze the infrastructure plan and land use planning in respect to the impact on labor, investment and urban growth.

The Urban-Rural Divide: Spatial Inequalities and Backlash in the Investment Treaty Regime

2021 ◽  
Vol 30 (1) ◽  
pp. 131-153
Author(s):  
Daniel Litwin
Keyword(s):  
International Law ◽  
Rural Areas ◽  
Urban Areas ◽  
Multinational Enterprises ◽  
Small Towns ◽  
Political Polarization ◽  
Investment Treaty ◽  
Spatial Inequalities ◽  
Urban Rural ◽  
The Impact

A growing literature in international law has examined the backlash against international institutions and norms and its links with the rise of nationalist parties and populism. Some of this backlash have been said to originate with populations in small towns and rural areas socioeconomically “left-behind” by economic globalization. These developments have made salient the growing economic and political polarization between urban and non-urban areas. Nevertheless, this urban- rural divide and its implications for international law have only started to be acknowledged. Aligned with these concerns, this article adopts the urban-rural divide as a geographical scale or frame to suggest a new perspective on the investment treaty regime, its backlash and reform. Outside of the particularly virulent nature of its backlash, the regime’s context provides fertile ground for this frame: it is structured so that urban actors principally located in global or capital cities, such as multinational enterprises, global law firms, or national executive branches, make decisions about foreign investment projects that are often located and impact non-urban areas and populations. As this article contends, this context points to the regime’s potential to impact (and address) through geographical affinities the global growth of political and economic polarization between urban and nonurban areas. The impact of these urban decisions on non-urban areas has so far principally been examined through frames that emphasize impact in terms of the “environment” or “local communities” together with calls for reforms to the regime by allocating more policy space for States. An “urban-rural” frame centers additional impacts in terms of non-urban public interest, local participation, and the distribution of resources, and queries the ability of domestic policies alone to respond to them in the pursuit of socially and economic inclusive investment.

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