Enhanced drought resistance of vegetation growth in cities due to urban heat, CO2 domes and O3 troughs

Abstract Sustained increase in atmospheric CO2 is strongly coupled with rising temperature and persistent droughts. While elevated CO2 promotes photosynthesis and growth of vegetation, drier and warmer climate tends to negate this benefit, complicating the prediction of future terrestrial carbon dynamics. Manipulative studies such as Free Air CO2 Enrichment experiments have been useful to study the interaction effect of global change factors on vegetation growth; however, their results do not easily transfer to natural ecosystems partly due to their short-duration nature and limited consideration of climatic gradients and potential confounding factors, such as O3. Urban environments serve as a useful small-scale analogy of future climate. Here, we develop a data-driven approach using urban environments as test beds for revealing the interactive effect of changing temperature and CO2 on vegetation response to drought. Using 75 urban-rural paired plots from three climate zones over the conterminous United States (CONUS), we find vegetation in urban areas exhibits a much stronger resistance to drought than in rural areas and the enhanced drought resistance across CONUS is attributed to rising temperature and CO2 and reduced O3 concentration in cities. The controlling factor(s) responsible for urban-rural differences in drought resistance of vegetation varies across climate regions, such as surface O3 gradients in the arid climate, and surface CO2 and O3 gradients in the temperate and continental climates. Thus, our study provides new observational insights on the impacts of competing factors on vegetation growth at a large scale, and ultimately, helps reduce uncertainties in understanding terrestrial carbon dynamics.

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Life in the fast lane: roadkill risk along an urban–rural gradient

Journal of Urban Ecology ◽

10.1093/jue/juaa039 ◽

2021 ◽

Vol 7 (1) ◽

Author(s):

Eleri Kent ◽

Amy L W Schwartz ◽

Sarah E Perkins

Keyword(s):

Species Distribution ◽

Rural Areas ◽

Urban Areas ◽

Population Level ◽

Urban Environments ◽

Distribution Models ◽

Road Density ◽

A Value ◽

Animal Populations ◽

Urban Rural

Abstract Wildlife-vehicle collisions are a major cause of mortality in animal populations and can cause significant population-level effects. Urban areas are typically associated with higher road densities and unique wildlife communities in comparison to rural areas, and therefore have the potential to be associated with high numbers of collisions, and roadkill risk. Here, we use a citizen science database of wildlife roadkill and species distribution models to assess how roadkill risk (probability of roadkill observation per km2) varied along an urban–rural gradient for British wildlife. Roadkill risk was positively associated with road density, until around 5000 m/km2, a value representing villages or the outskirts of towns and cities. Beyond 5000 m/km2, risk remained high for some species (hedgehog, fox, pigeons and gulls) but reduced for other species (badger, rabbit, pheasant). Roadkill risk was a function of live species distribution for badger, hedgehog and rabbit, with significant overlap between spatial patterns of roadkill risk and the species’ live distribution. This was not the case for fox, pheasant, pigeons and gulls. Fox roadkill risk was underrepresented in rural areas, possibly due to low road density, while pheasant risk was overrepresented. For pigeons and gulls—well-known urban exploiters—roadkill risk was overrepresented in urban areas given their live distributions, possibly due to risks associated with foraging, particularly roadkill scavenging by gulls. Our results highlight the dangers of the UK’s dense road networks to wildlife, even to species considered adapted to urban environments and human disturbance.

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Urban–Rural Dichotomy in Planning: Review of Legal Framework in Four States of India

Indian Journal of Public Administration ◽

10.1177/00195561211001610 ◽

2021 ◽

pp. 001955612110016

Author(s):

Anurima Mukherjee Basu ◽

Rutool Sharma

Keyword(s):

Rural Areas ◽

Urban Areas ◽

Planning Process ◽

Legal Framework ◽

Quantum Jump ◽

Class 1 ◽

Urban Settlements ◽

Urban Rural ◽

Territorial Approach ◽

Sizeable Number

Current urbanisation trends in India show a quantum jump in number of ‘census towns’, which are not statutorily declared as urban areas, but have acquired all characteristics of urban settlements. Sizeable number of such census towns are not located near any Class 1 city. Lack of proper and timely planning has led to unplanned growth of these settlements. This article is based on a review of planning legislations, institutional framework and planning process of four states in India. The present article analyses the scope and limitations of the planning process adopted in the rapidly urbanising rural areas of these states. The findings reveal that states are still following a conventional approach to planning that treats ‘urban’ and ‘rural’ as separate categories and highlights the need for adopting an integrated territorial approach to planning of settlements.

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Urban–rural disparity in cancer incidence in China, 2008–2012: a cross-sectional analysis of data from 36 cancer registers

BMJ Open ◽

10.1136/bmjopen-2020-042762 ◽

2021 ◽

Vol 11 (4) ◽

pp. e042762

Author(s):

Shuai Yuan ◽

Shao-Hua Xie

Keyword(s):

Cancer Incidence ◽

Rural Areas ◽

Urban Areas ◽

Incidence Rates ◽

Cancer Type ◽

Anatomic Site ◽

Cross Sectional ◽

Rural And Urban Areas ◽

Rural And Urban ◽

Urban Rural

ObjectiveThe substantial differences in socioeconomic and lifestyle exposures between urban and rural areas in China may lead to urban–rural disparity in cancer risk. This study aimed to assess the urban–rural disparity in cancer incidence in China.MethodsUsing data from 36 regional cancer registries in China in 2008–2012, we compared the age-standardised incidence rates of cancer by sex and anatomic site between rural and urban areas. We calculated the rate difference and rate ratio comparing rates in rural versus urban areas by sex and cancer type.ResultsThe incidence rate of all cancers in women was slightly lower in rural areas than in urban areas, but the total cancer rate in men was higher in rural areas than in urban areas. The incidence rates in women were higher in rural areas than in urban areas for cancers of the oesophagus, stomach, and liver and biliary passages, but lower for cancers of thyroid and breast. Men residing in rural areas had higher incidence rates for cancers of the oesophagus, stomach, and liver and biliary passages, but lower rates for prostate cancer, lip, oral cavity and pharynx cancer, and colorectal cancer.ConclusionsOur findings suggest substantial urban–rural disparity in cancer incidence in China, which varies across cancer types and the sexes. Cancer prevention strategies should be tailored for common cancers in rural and urban areas.

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RURAL–URBAN MIGRATION AND CHILD SURVIVAL IN URBAN BANGLADESH: ARE THE URBAN MIGRANTS AND POOR DISADVANTAGED?

Journal of Biosocial Science ◽

10.1017/s0021932007002271 ◽

2008 ◽

Vol 40 (1) ◽

pp. 83-96 ◽

Cited By ~ 39

Author(s):

M. MAZHARUL ISLAM ◽

KAZI MD ABUL KALAM AZAD

Keyword(s):

Rural Areas ◽

Urban Areas ◽

Urban Poor ◽

Child Survival ◽

Childhood Mortality ◽

Policy Implications ◽

Urban Migration ◽

Under Five ◽

Urban Migrants ◽

Urban Rural

SummaryThis paper analyses the levels and trends of childhood mortality in urban Bangladesh, and examines whether children’s survival chances are poorer among the urban migrants and urban poor. It also examines the determinants of child survival in urban Bangladesh. Data come from the 1999–2000 Bangladesh Demographic and Health Survey. The results indicate that, although the indices of infant and child mortality are consistently better in urban areas, the urban–rural differentials in childhood mortality have diminished in recent years. The study identifies two distinct child morality regimes in urban Bangladesh: one for urban natives and one for rural–urban migrants. Under-five mortality is higher among children born to urban migrants compared with children born to life-long urban natives (102 and 62 per 1000 live births, respectively). The migrant–native mortality differentials more-or-less correspond with the differences in socioeconomic status. Like childhood mortality rates, rural–urban migrants seem to be moderately disadvantaged by economic status compared with their urban native counterparts. Within the urban areas, the child survival status is even worse among the migrant poor than among the average urban poor, especially recent migrants. This poor–non-poor differential in childhood mortality is higher in urban areas than in rural areas. The study findings indicate that rapid growth of the urban population in recent years due to rural-to-urban migration, coupled with higher risk of mortality among migrant’s children, may be considered as one of the major explanations for slower decline in under-five mortality in urban Bangladesh, thus diminishing urban–rural differentials in childhood mortality in Bangladesh. The study demonstrates that housing conditions and access to safe drinking water and hygienic toilet facilities are the most critical determinants of child survival in urban areas, even after controlling for migration status. The findings of the study may have important policy implications for urban planning, highlighting the need to target migrant groups and the urban poor within urban areas in the provision of health care services.

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Seasonal variation and spatial distribution of carbonaceous aerosols in Taiwan

Atmospheric Chemistry and Physics ◽

10.5194/acp-10-9563-2010 ◽

2010 ◽

Vol 10 (19) ◽

pp. 9563-9578 ◽

Cited By ~ 42

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.

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Agriculture Biomaterial Industry in Romania

International Journal of Sustainable Economies Management ◽

10.4018/ijsem.2021010103 ◽

2021 ◽

Vol 10 (1) ◽

pp. 32-44

Author(s):

Irina Bancescu

Keyword(s):

Rural Development ◽

Rural Areas ◽

Urban Areas ◽

Rural Poverty ◽

Value Added ◽

Poverty Rate ◽

Economic Implications ◽

Income Gap ◽

Rural Income ◽

Urban Rural

Rural areas in Romania are underdeveloped, with the main economic activity being agriculture. Urban-rural income gap and poverty levels are indicative of an underdeveloped rural area. Urban-rural absolute income gap for average monthly income increased from 352 RON in 2007 to 663 RON in 2017. Moreover, the work poverty rate is higher in rural areas than in urban areas. Economic rural development can be achieved by improvements of the labour market and introduction of new value-added products. Agricultural and non-agricultural activities are dependent on each other for a successful rural development leading to poverty alleviation. An industry that combines the two types of economic activities is agriculture biomaterial industry. In this paper, the authos investigates the factors influencing rural poverty and analyses the current stage of the bioplastics market in Romania and its economic implications. Bioplastics industry can reduce urban-rural income gaps and poverty in rural areas.

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Damage assessment mapping of rural environments; integration of SAR and Optical data

10.5194/egusphere-egu21-9202 ◽

2021 ◽

Author(s):

Shiran Havivi ◽

Stanley R. Rotman ◽

Dan G. Blumberg ◽

Shimrit Maman

Keyword(s):

Natural Disaster ◽

Rural Areas ◽

Urban Areas ◽

Damage Assessment ◽

Vegetation Index ◽

Urban Environments ◽

Optical Data ◽

Damage Level ◽

Rural Environments ◽

Rural And Urban

The damage caused by a natural disaster in rural areas differs in nature, extent, landscape and in structure, from the damage in urban environments. Previous and current studies focus mainly on mapping damaged structures in urban areas after catastrophe events such as an earthquake or tsunami. Yet, research focusing on the damage level or its distribution in rural areas is absent. In order to apply an emergency response and for effective disaster management, it is necessary to understand and characterize the nature of the damage in each different environment.&#160;Havivi et al. (2018), published a damage assessment algorithm that makes use of SAR images combined with optical data, for rapid mapping and compiling a damage assessment map following a natural disaster. The affected areas are analyzed using interferometric SAR (InSAR) coherence. To overcome the loss of coherence caused by changes in vegetation, optical images are used to produce a mask by computing the Normalized Difference Vegetation Index (NDVI) and removing the vegetated area from the scene. Due to the differences in geomorphological settings and landuse\landcover between rural and urban settlements, the above algorithm is modified and adjusted by inserting the Modified Normalized Difference Water Index (MNDWI) to better suit rural environments and their unique response after a disaster. MNDWI is used for detection, identification and extraction of waterbodies (such as irrigation canals, streams, rivers, lakes, etc.), allowing their removal which causes lack of coherence at the post stage of the event. Furthermore, it is used as an indicator for highlighting prone regions that might be severely affected pre disaster event. Thresholds are determined for the co-event coherence map (&#8804; 0.5), the NDVI (&#8805; 0.4) and the MNDWI (&#8805; 0), and the three layers are combined into one. Based on the combined map, a damage assessment map is generated.&#160;As a case study, this algorithm was applied to the areas affected by multi-hazard event, following the Sulawesi earthquake and subsequent tsunami in Palu, Indonesia, which occurred on September 28th, 2018. High-resolution COSMO-SkyMed images pre and post the event, alongside a Sentinel-2 image pre- event are used as inputs. The output damage assessment map provides a quantitative assessment and spatial distribution of the damage in both the rural and urban environments. The results highlight the applicability of the algorithm for a variety of disaster events and sensors. In addition, the results enhance the contribution of the water component to the analysis pre and post the event in rural areas. Thus, while in urban regions the spatial extent of the damage will occur in its proximity to the coastline or the fault, rural regions, even in significant distance will experience extensive damage due secondary hazards as liquefaction processes.&#160; &#160; &#160;

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Spatial and temporal variability of rainfall and their effects on hydrological response in urban areas – a review

Hydrology and Earth System Sciences ◽

10.5194/hess-21-3859-2017 ◽

2017 ◽

Vol 21 (7) ◽

pp. 3859-3878 ◽

Cited By ~ 69

Author(s):

Elena Cristiano ◽

Marie-Claire ten Veldhuis ◽

Nick van de Giesen

Keyword(s):

Temporal Variability ◽

Urban Areas ◽

Rainfall Variability ◽

Urban Environments ◽

Hydrological Processes ◽

Small Scale ◽

Spatial And Temporal Variability ◽

Hydrological Response ◽

Weather Radars ◽

New Instruments

Abstract. In urban areas, hydrological processes are characterized by high variability in space and time, making them sensitive to small-scale temporal and spatial rainfall variability. In the last decades new instruments, techniques, and methods have been developed to capture rainfall and hydrological processes at high resolution. Weather radars have been introduced to estimate high spatial and temporal rainfall variability. At the same time, new models have been proposed to reproduce hydrological response, based on small-scale representation of urban catchment spatial variability. Despite these efforts, interactions between rainfall variability, catchment heterogeneity, and hydrological response remain poorly understood. This paper presents a review of our current understanding of hydrological processes in urban environments as reported in the literature, focusing on their spatial and temporal variability aspects. We review recent findings on the effects of rainfall variability on hydrological response and identify gaps where knowledge needs to be further developed to improve our understanding of and capability to predict urban hydrological response.

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Seasonal patterns of dengue incidence in Thailand across the urban-rural gradient

10.1101/2020.11.25.20186056 ◽

2020 ◽

Author(s):

Qifang Bi ◽

Derek AT Cummings ◽

Nicholas G. Reich ◽

Lindsay T. Keegan ◽

Joshua Kaminsky ◽

...

Keyword(s):

Wavelet Analysis ◽

Temporal Variation ◽

Rural Areas ◽

Urban Areas ◽

Dynamic Models ◽

Seasonal Patterns ◽

Disease Dynamics ◽

Urban Rural ◽

Spatio Temporal ◽

Dengue Epidemics

AbstractIn Southeast Asia, endemic dengue follows strong spatio-temporal patterns with major epidemics occurring every 2-5 years. However, important spatio-temporal variation in seasonal dengue epidemics remains poorly understood. Using 13 years (2003-2015) of dengue surveillance data from 926 districts in Thailand and wavelet analysis, we show that rural epidemics lead urban epidemics within a dengue season, both nationally and within health regions. However, local dengue fade-outs are more likely in rural areas than in urban areas during the off season, suggesting rural areas are not the source of viral dispersion. Simple dynamic models show that stronger seasonal forcing in rural areas could explain the inconsistency between earlier rural epidemics and dengue “over wintering” in urban areas. These results add important nuance to earlier work showing the importance of urban areas in driving multi-annual patterns of dengue incidence in Thailand. Feedback between geographically linked locations with markedly different ecology is key to explaining full disease dynamics across urban-rural gradient.

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Decomposing Urban-rural Differences in Multimorbidity Among Older Adults in India: A Study Based on Lasi Data

10.21203/rs.3.rs-701569/v1 ◽

2021 ◽

Author(s):

Shekhar Chauhan ◽

Shobhit Srivast ◽

Pradeep Kumar ◽

Ratna Patel

Keyword(s):

Older Adults ◽

Rural Areas ◽

Urban Areas ◽

Decomposition Analysis ◽

The Public ◽

Analysis Techniques ◽

Ageing Study ◽

Urban Rural ◽

The Difference ◽

Urban And Rural Areas

Abstract Background: Multimorbidity is defined as the co-occurrence of two or more than two diseases in the same person. With rising longevity, multimorbidity has become a prominent concern among the older population. Evidence from both developed and developing countries shows that older people are at much higher risk of multimorbidity, however, urban-rural differential remained scarce. Therefore, this study examines urban-rural differential in multimorbidity among older adults by decomposing the risk factors of multimorbidity and identifying the covariates that contributed to the change in multimorbidity.Methods: The study utilized information from 31,464 older adults (rural-20,725 and urban-10,739) aged 60 years and above from the recent release of the Longitudinal Ageing Study in India (LASI) wave 1 data. Descriptive, bivariate, and multivariate decomposition analysis techniques were used.Results: Overall, significant urban-rural differences were found in the prevalence of multimorbidity among older adults (difference: 16.3; p<0.001). Moreover, obese/overweight and high-risk waist circumference were found to narrow the difference in the prevalence of multimorbidity among older adults between urban and rural areas by 8% and 9.1%, respectively.Conclusion: There is a need to substantially increase the public sector investment in healthcare to address the multimorbidity among older adults, more so in urban areas, without compromising the needs of older adults in rural areas.

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