scholarly journals Development and landscaping choices differentiate heterogenous tree and shrub communities on office developments

2019 ◽  
Author(s):  
Karen Dyson
Keyword(s):  
Urban Ecosystems ◽  
Urban Ecosystem ◽  
Ecosystem Functions ◽  
Land Uses ◽  
Economic Variables ◽  
Residential Land ◽  
Vegetation Communities ◽  
Explained Variation ◽  
Socio Economic Variables ◽  
Human Actors

In urban ecosystems, woody vegetation communities and the ecosystem functions and habitat they provide are largely controlled by humans. These communities are assembled during development, landscaping, and maintenance processes according to decisions made by human actors. While vegetation communities on residential land uses are increasingly well studied, these efforts have generally not extended to other and uses, including commercial land uses; we thus know little about the vegetation communities on these land uses and how they are assembled. To fill this gap, I surveyed tree and shrub communities on office developments located in Redmond and Bellevue, Washington, USA, and explored whether aggregated and parcel scale socio-economic variables or variables describing the outcome of development and landscaping actions better explained variation in vegetation communities. I found that both tree and shrub communities are heterogenous, with distinct groups of sites characterized by native or ornamental vegetation. The outcome of actors’ decision making also explains more variation than aggregated or parcel scale socio-economic variables found significant on residential property. The observed heterogeneity in vegetation communities suggests that different ecosystem functions and habitat quantity and quality are provided on office developments; better provision of these functions is possible using currently existing developments as models. Further, the heterogeneity and observed differences in variable importance between office developments and residential land uses suggests that future urban ecology research must more carefully consider sampling design and that models of the urban ecosystem must account for different decision pathways on land uses. Going forward, research should examine other commercial land uses, commercial land use in additional ecotypes, and decision pathways followed by actors on commercial land uses.

scholarly journals Development and landscaping choices differentiate heterogenous tree and shrub communities on office developments

2019 ◽  
Author(s):  
Karen Dyson
Keyword(s):  
Urban Ecosystems ◽  
Urban Ecosystem ◽  
Ecosystem Functions ◽  
Land Uses ◽  
Economic Variables ◽  
Residential Land ◽  
Vegetation Communities ◽  
Explained Variation ◽  
Socio Economic Variables ◽  
Human Actors

In urban ecosystems, woody vegetation communities and the ecosystem functions and habitat they provide are largely controlled by humans. These communities are assembled during development, landscaping, and maintenance processes according to decisions made by human actors. While vegetation communities on residential land uses are increasingly well studied, these efforts have generally not extended to other and uses, including commercial land uses; we thus know little about the vegetation communities on these land uses and how they are assembled. To fill this gap, I surveyed tree and shrub communities on office developments located in Redmond and Bellevue, Washington, USA, and explored whether aggregated and parcel scale socio-economic variables or variables describing the outcome of development and landscaping actions better explained variation in vegetation communities. I found that both tree and shrub communities are heterogenous, with distinct groups of sites characterized by native or ornamental vegetation. The outcome of actors’ decision making also explains more variation than aggregated or parcel scale socio-economic variables found significant on residential property. The observed heterogeneity in vegetation communities suggests that different ecosystem functions and habitat quantity and quality are provided on office developments; better provision of these functions is possible using currently existing developments as models. Further, the heterogeneity and observed differences in variable importance between office developments and residential land uses suggests that future urban ecology research must more carefully consider sampling design and that models of the urban ecosystem must account for different decision pathways on land uses. Going forward, research should examine other commercial land uses, commercial land use in additional ecotypes, and decision pathways followed by actors on commercial land uses.

scholarly journals Socio-economic Factors Affecting Residential Land Accessibility in Akure Nigeria: A Gender Perspective

2017 ◽  
Vol 4 (3) ◽  
Author(s):  
Mary Adebola Ajayi ◽  
Michael Adedayo Adebayo
Keyword(s):  
Focal Point ◽  
Function Analysis ◽  
Population Census ◽  
Economic Variables ◽  
Residential Land ◽  
Factors Affecting ◽  
Political Relations ◽  
The Social ◽  
Socio Economic Variables ◽  
Socio Economic Factors

Land defines the social, economic and political relations in the society and is the most crucial factor of production. Access to land promotes the economic power of individuals and their contribution to the economy of the nation at large. It is both a resource and a focal point of social identity and solidarity. This paper is aimed at revealing the sources of gaining access to residential land in Akure by both male and female home owners with a view to engendering appropriate policy response towards female housing ownership. The sample size was determined from the 2006 population census figure of the Akure South Local Government Area. A total of three hundred and eighty one (381) questionnaires were administered to home-owners using systematic and stratified random sampling techniques and were found useful for analysis. The means of gaining access to residential land in the selected towns in the study area include purchase, inheritance, government allocation and gift. Discriminant Function Analysis was used to determine which socio-economic variables were the best predictors of how access to land can be gained. Occupation, income and education emerged as the best predictors out of all the socio-economic variables used. The paper recommends the provision of enabling environment to boost informal employment which is predominant in the study area as this will increase the income level of the citizens. There is also the need for public enlightenment on how to access land through government allocation which was very low in the study area.

scholarly journals Mapping chronic disease prevalence based on medication use and socio-demographic variables: an application of LASSO on administrative data sources in healthcare in the Netherlands

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Koen Füssenich ◽  
Hendriek C. Boshuizen ◽  
Markus M. J. Nielen ◽  
Erik Buskens ◽  
Talitha L. Feenstra
Keyword(s):  
Chronic Disease ◽  
Hospital Admission ◽  
Medication Use ◽  
Disease Prevalence ◽  
Percentage Error ◽  
Economic Variables ◽  
Regional Patterns ◽  
Prevalence Estimates ◽  
Socio Economic Variables ◽  
Chronic Disease Prevalence

Abstract Background Policymakers generally lack sufficiently detailed health information to develop localized health policy plans. Chronic disease prevalence mapping is difficult as accurate direct sources are often lacking. Improvement is possible by adding extra information such as medication use and demographic information to identify disease. The aim of the current study was to obtain small geographic area prevalence estimates for four common chronic diseases by modelling based on medication use and socio-economic variables and next to investigate regional patterns of disease. Methods Administrative hospital records and general practitioner registry data were linked to medication use and socio-economic characteristics. The training set (n = 707,021) contained GP diagnosis and/or hospital admission diagnosis as the standard for disease prevalence. For the entire Dutch population (n = 16,777,888), all information except GP diagnosis and hospital admission was available. LASSO regression models for binary outcomes were used to select variables strongly associated with disease. Dutch municipality (non-)standardized prevalence estimates for stroke, CHD, COPD and diabetes were then based on averages of predicted probabilities for each individual inhabitant. Results Adding medication use data as a predictor substantially improved model performance. Estimates at the municipality level performed best for diabetes with a weighted percentage error (WPE) of 6.8%, and worst for COPD (WPE 14.5%)Disease prevalence showed clear regional patterns, also after standardization for age. Conclusion Adding medication use as an indicator of disease prevalence next to socio-economic variables substantially improved estimates at the municipality level. The resulting individual disease probabilities could be aggregated into any desired regional level and provide a useful tool to identify regional patterns and inform local policy.

scholarly journals Maternal nutritional status (as measured by height, weight and BMI) in Bangladesh: trends and socio-economic association over the period 1996 to 2007

2015 ◽  
Vol 19 (8) ◽  
pp. 1438-1445 ◽  
Author(s):  
Masuda Mohsena ◽  
Rie Goto ◽  
CG Nicholas Mascie-Taylor
Keyword(s):  
Nutritional Status ◽  
Considerable Increase ◽  
Substantial Reduction ◽  
Overweight And Obesity ◽  
Demographic And Health Surveys ◽  
Economic Variables ◽  
Maternal Nutritional Status ◽  
Economic Association ◽  
Education Of Women ◽  
Socio Economic Variables

AbstractObjectiveTo analyse trends in maternal nutritional status in Bangladesh over a 12-year period and to examine the associations between nutritional status and socio-economic variables.DesignMaternal nutritional status indicators were height, weight and BMI. Socio-economic variables used were region, residency, education and occupation of the mothers and their husbands, house type, and possession score in the household.SettingBangladesh Demographic and Health Surveys (1996, 2000, 2004 and 2007) were the source of data.SubjectsA total of 16 278 mothers were included.ResultsAll of the socio-economic variables showed significant associations with maternal nutritional status indicators. Regional variation was found to be present; all three indicators were found to be lowest in the Sylhet division. Upward trends in maternal height, weight and BMI were evident from no possessions to four possessions in households, and for no education to higher education of women and their husbands. Bangladeshi mothers measured in 2007 were found to be on average 0·34 cm taller and 3·36 kg heavier than mothers measured in 1996. Between 1996 and 2007 maternal underweight fell from nearly 50 % to just over 30 % while overweight and obesity increased from about 3 % to over 9 % (WHO cut-offs) or from 7 % to nearly 18 % (Asian cut-offs).ConclusionsThe study reveals that over the 12-year period in Bangladesh there has been a substantial reduction in maternal underweight accompanied by a considerable increase in obesity. It is also evident that malnutrition in Bangladesh is a multidimensional problem that warrants a proper policy mix and programme intervention.

Impact of E-Core Service Quality Dimensions on Perceived Value of M-Banking in Case of Three Socio-Economic Variables

2017 ◽  
Vol 13 (1) ◽  
pp. 1-20 ◽  
Author(s):  
Savdeep Vasudeva ◽  
Gurdip Singh
Keyword(s):  
Service Quality ◽  
Perceived Value ◽  
Mobile Banking ◽  
Service Usage ◽  
Economic Variables ◽  
Quality Dimensions ◽  
Service Quality Dimensions ◽  
Core Service ◽  
Socio Economic Variables ◽  
The Impact

This study addresses a research gap in mobile banking (M-banking) related to post service usage consumer behavior and aims to discover the impact of electronic core (e-core) service quality dimensions on the perceived value of service in relation to three socio-economic variables i.e. gender, age and income. The study attempts to identify whether the impact of these dimensions vary as per the difference in socio-economic demographics? Further, E-S-QUAL scale representing dimensions of e-core service quality is utilized and data collection is conducted from a survey of 600 mobile banking users of the Punjab State in India. The collected data is then put to test using Multiple Regression Analysis and Cronbach's alpha. Findings of the study reveal that different customers perceive these dimensions differently depending upon their demographics. This study has important implications for academic research related to e-service quality or to any one doing research in the field of M-banking.

scholarly journals Willingness to Adopt the Recommended Practices of Organic Turmeric among Kandhamal Farmers of Odisha

2021 ◽  
pp. 80-87
Author(s):  
Asish Panigrahi ◽  
Satarupa Modak ◽  
Chitrasena Padhy
Keyword(s):  
Agricultural Practices ◽  
Secondary Data ◽  
Agricultural Practice ◽  
Economic Variables ◽  
Public And Private ◽  
Willingness To Adopt ◽  
Healing Property ◽  
Socio Economic Variables ◽  
Chemical Inputs ◽  
High Level

Turmeric Cultivation is one of livelihood for the Kondh tribes of Kandhamal District of Odisha. These farmers were cultivating this crop with their traditional knowledge of crop practices without any intervention of chemical inputs. From the studies, it is found that farmers of the district were economically and educationally backward. Turmeric of Kandhamal is well known for its healing property, color, aroma etc. and received GI tag for its unique features. From the secondary data it was found that there were few public and private extension actors trying to promote organic recommended package of practices for Turmeric.  And, to boost willingness among farmers towards recommended organic Turmeric various socio-economic variables might be responsible. In this view the present study was carried out (2020-21) in Kandhamal district of Odisha to understand attitude towards recommended organic Turmeric and socio-economic variables effecting willingness to adopt organic package of practices of Turmeric. It was found that turmeric growers had medium to high level of willingness to adopt the recommended agricultural practice. And among selected socio-economic variables respondent’s total family member, Members help in family farming and adult male had negative and significantly relationship with willingness to adopt the recommended agricultural practices of organic turmeric. Private extension actors and State Horticulture Department training were continually motivating them to adopt recommended agricultural practices of organic turmeric. 

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