Search Results (7)

It is reported that the rapid rate of urbanization has negative impacts on the environment, society, and economic conditions in the capital of Pakistan, which need to be addressed for sustainability. This study attempts to quantify the level of urban sustainability by using a Multiple Linear Regression Analysis in a social context. Primary data were collected through a random sampling survey, while secondary data were collected from the Capital Development Authority, public documents, and past studies or case reports. These data were associated with land values, property rent, the availability of commercial space, social security, the sense of belonging, and the frequency of urban flooding. The major sources of secondary data were the revised master plan of the city (2020–2040), urban gazette data, land value registers, property dealers’ records of real estate, and government documents. The results of the analyses show that there is a strong correlation between the selected variables and the urban sustainability of the area. These results were expressed through the coefficient of regression and coefficient of correlation through regression statistics, including R = 0.801 for economic sustainability, R = 0.822 for urban sustainability, and R = 0.905 for social sustainability. The results reveal that the level of urban sustainability is at risk due to overpopulation and the degradation of the ecosystem. It is concluded that there is a need for the implementation of a revised master plan in the area for the sustainable development of the city. Full article

As a response to food security, urban agriculture is essential for sustainable development. The primary goal of this study is to provide the basic formulation and theoretical knowledge for sustainable urban agriculture by analyzing the impact of urbanization on urban agriculture and food security. For the food security assessment, the variables included food consumption and quality of food as the independent variables, and monthly income of local dwellers as the dependent variable; these were considered for the regression analysis and statistical analysis. The food security assessment was checked and expressed using regression values of R, which was 0.857, and an adjusted R square, with a value of 0.728. The results show extensive change in food security issues and land use due to urbanization causes, large-scale damage to agricultural land in the area, and loss of biodiversity, which threaten food security by converting natural land into built-up areas. The study concludes that urban agriculture is a fundamental environmental activity to ensure food security by increasing food production for locals and improving urban biodiversity. Full article

Urban green spaces are considered the most important element for keeping the balance between good environmental conditions, infrastructure development, and social sustainability in cities. Nevertheless, urban green spaces are declining in developing countries due to the fast diffusion of different human activities, raising the potential risk of social injustice and urban ecology meltdown. This study brings the example of Shahdara Town, a suburban area of Lahore, the second largest city and one of the most populated ones in Pakistan. In Shahdara Town, the scarcity of urban green spaces seems to achieve an unequal distribution of restorative places within crowded residential areas. By coupling the vegetation spectral index NDVI and Lahore institutional data to detect green spaces, this study maps the urban green area distribution and compares it with the population settlement pattern. An analysis was made to assess possible spatial relationships between green areas distribution, population density, and the social–economic profile of the residents. The distribution and accessibility of green spaces resulted insufficient for Shahdara Town’s population, highlighting local issues from a social perspective. The imbalanced provision of green spaces for densely populated areas is a big challenge for urban planners and policymakers because it jeopardizes the city life-quality and local ecological justice. Only the effort of conducting a good spatial assessment during urban planning processes can lead to a balanced and equal distribution of urban green spaces in developing cities, ensuring social and ecological justice for the population. Full article

Neighborhood services, property attributes, and their associated amenities have positive impacts on land and property values. This impact is estimated by the hedonic pricing model, which is considered an effective method used in previous studies for such evaluations. The study uses Geographical Information Science by digitizing the point of interest in the study area for spatial modeling of data collection points and multi-linear regression as a statistical analysis of hedonic measurements. The hedonic measurements include the data of structural, locational, environmental, and community attributes of a property at a given time and space at a walkable distance from the neighborhood for measuring proximity. The results of the study are represented through the summary of the regression model, which expresses the impact of every individual variable on the entire value of the property, and the appropriateness of the results is shown by values R, R², and adjusted R². The result of the study concluded that property characteristics are varied from location to location, and that is why it is difficult to measure the exact market values, particularly in areas that lack urban planning and heterogeneous data. Research on such burning issues is essential for sustainable urban development. Full article

The peri-urban landscape is a highly dynamic area between the urban zone and the rural belt. The heterogeneous natural landscape around the cities provides several ecosystem services, but progressive urbanization affects it and results in the loss of biodiversity, greenery, and related benefits. This study attempts to quantify the social amenities associated with ecosystem services in the peri-urban landscape of the Gujrat district, in Pakistan, by using the Contingent Valuation Method (CVM) The results show that the peri-urban landscape provides amenities for the well-being of the community. Such amenities and the related recreational opportunities represent ecosystem services that are highly regarded by the residents, so much so that a significant willingness to pay can be associated with them. Therefore, this study highlights that natural areas and green areas’ landscapes must be taken into account when facing the social and economic necessity to provide for city expansion in developing countries, especially when aiming to achieve development in alignment with the Sustainable Development Goals. The ecosystem services and their evaluation are confirmed as indispensable tools for conservation and fortification of landscape development. Full article

The purpose of this study was to investigate the taxonomic diversity, richness, and distribution patterns of Poaceae in relation to abiotic factors in the Jhelum district of the Pakistan Himalayas. We used a random sampling technique from 80 grids within 240 sites with a rich diversity of wild grasses and 720 quadrates in triplets from each site across the Jhelum district between 2019 and 2021 to collect data on grass species and the associated environmental factors and conditions. After evaluating the important value index for each plant taxa and for the environmental data, we analyzed the data using ordination and cluster analysis techniques. Fifty-two Poaceae taxa from twenty-nine genera were recorded within the study area. From a total of 52 recorded Poaceae species, 45 were native and 7 were invasive species. The life form (biological) showed the dominancy of 27 therophyte species, followed by 24 hemicryptophyte species, and 1 geophyte species. Microphyll had the leading leaf size spectra (27 species), followed by nanophyll (12 species), macrophyll (10 species), and leptophyll (3 species). The trend of the life cycle was the maximum (27 spp.) during the monsoon season, followed by spring (11 spp.), winter (8 spp.), and summer (6 spp.). The leading genera were Setaria with 9.61% of the species, followed by Panicum, Cenchrus, and Brachiaria with 7.69% of the species. Aristida and Echinochloa made up 5.76% of the species while Chrysopogon, Digitaria, Eragrostis, Pennisetum, and Poa made up 3.84% of the species. Other genera recorded single species. The leaf size spectra of grasses were dominated by microphylls (50%) followed by nanophylls (23.07%), macrophylls (19.23%), and leptophylls (7.69%). On the basis of the importance value index, the most dominant species was Cynodon dactylon (68), followed by Dichanthium annulatum (58), Brachiaria ramose (38), Dactyloctenium aegyptium (37), Eleusine indica (35), Saccharum bengalense (33), and Cenchrus biflorus (28). Two-way cluster analyses classified the grasses into three plant community associations based on the indicator plant species. Soil parameters as subsamples were tested for moisture, pH, EC, OM, macronutrients (CaCO₃, N, P, and K), and saturation while the ordination analysis revealed that they had a significant (p ≤ 0.002) effect on vegetation associations. Overall, this study contributes to a better understanding of the influence of environmental factors on the composition and associations of grass species and the development of scientifically informed management solutions for the ecological restoration of degraded habitats in this Himalayan region. Full article

Land use–land cover (LULC) alteration is primarily associated with land degradation, especially in recent decades, and has resulted in various harmful changes in the landscape. The normalized difference vegetation index (NDVI) has the prospective capacity to classify the vegetative characteristics of many ecological areas and has proven itself useful as a remote sensing (RS) tool in recording vegetative phenological aspects. Likewise, the normalized difference built-up index (NDBI) is used for quoting built-up areas. The current research objectives include identification of LULC, NDVI, and NDBI changes in Jhelum District, Punjab, Pakistan, during the last 30 years (1990–2020). This study targeted five major LULC classes: water channels, built-up area, barren land, forest, and cultivated land. Satellite imagery classification tools were used to identify LULC changes in Jhelum District, northern Punjab, Pakistan. The perception data about the environmental variations as conveyed by the 500 participants (mainly farmers) were also recorded and analyzed. The results depict that the majority of farmers (54%) believe in the appearance of more drastic changes such as less rainfall, drought, and decreased water availability for irrigation during 2020 compared to 30 years prior. Overall accuracy assessment of imagery classification was 83.2% and 88.8% for 1990, 88.1% and 85.7% for 2000, 86.5% and 86.7% for 2010, and 85.6% and 87.3% for 2020. The NDVI for Jhelum District was the highest in 1990 at +0.86 and the lowest in 2020 at +0.32; similarly, NDBI values were the highest in 2020 at +0.72 and the lowest in 1990 at −0.36. LULC change showed a clear association with temperature, NDBI, and NDVI in the study area. At the same time, variations in the land area of barren soil, vegetation, and built-up from 1990 to 2020 were quite prominent, possibly resulting in temperature increases, reduction in water for irrigation, and changing rainfall patterns. Farmers were found to be quite responsive to such climatic variations, diverting to framing possible mitigation approaches, but they need government assistance. The findings of this study, especially the causes and impacts of rapid LULC variations in the study area, need immediate attention from related government departments and policy makers. Full article