Abstract:ABSTRACT. Forest fragmentation may negatively impact fauna and flora. An important tool for the development and implementation of research on these effects is the use of a geographic information system (GIS). This paper aims to perform an integrated analysis of the landscape fragments that compose the Alonzo River watershed, Paraná State, by using remote sensing tools and landscape ecology metrics. The analyzed landscape metrics were Patton's index, total area of the patches, edge length, edge density, forest … Show more
“…Hence, the spatial arrangement and the underlying forces of settlement growth and development are important topics of analysis in urban studies (Aguilera et al 2011). Moreover, there is a revived attention of scholars on the expansion of cities into the neighbouring settlements (Ferreira et al 2018;Karg et al 2019).…”
Section: Introductionmentioning
confidence: 99%
“…In landscape analysis, spatial metrics are usually employed to detect landscape pattern and fragmentation (Dezhkam et al 2017). Therefore, they are used to analyse the structure or patches of an area with homogeneous thematic entities (Ferreira et al 2018). Also, they can be employed to quantify the spatial heterogeneity of patches of a common class (Kumar et al 2018).…”
This study examined the spatiotemporal pattern of urban growth and magnitude of changes in selected Local Government Areas (LGAs) in the suburban area of Ibadan using remote sensing cum spatial metrics. Data for the study were obtained from administrative maps of the study area, population data and satellite imageries. All of these were complemented with ground validations using Global Positioning System (GPS) receiver. Periods of change analysis were divided into two epochs; 1986 to 2002 and 2002 to 2017. The imageries were classified into four landuse/cover classes based on Anderson’s modified version of supervised classification scheme. Accuracy assessment of the imageries was carried out using 100 randomly sampled ground truth points. Ten spatial metrics were selected for analysis using Fragstats program. Results show a significant loss in vegetation due to conversion (Land Consumption Rate, LCR = 0.025, 0.019 and 0.027; Land Absorption Coefficient, LAC = 0.012 and 0.048). Moreover, there was a persistent increase in Number of Patches (NP) indicating a scattered and fragmented but continuous development. However, dwindling values of Patch Density (PD = 90.94, 27.07 and 30.30) indicate expansion through conversion of other landuses at varying rates. Results also indicate an incidence of fragmented low density development in the fringe areas (Area Weighted Mean Patch Fractal Dimension, AWMPFD = 1.37 and 1.39). The study highlights the chaotic land development and unrestrained urban expansion in the study area.
“…Hence, the spatial arrangement and the underlying forces of settlement growth and development are important topics of analysis in urban studies (Aguilera et al 2011). Moreover, there is a revived attention of scholars on the expansion of cities into the neighbouring settlements (Ferreira et al 2018;Karg et al 2019).…”
Section: Introductionmentioning
confidence: 99%
“…In landscape analysis, spatial metrics are usually employed to detect landscape pattern and fragmentation (Dezhkam et al 2017). Therefore, they are used to analyse the structure or patches of an area with homogeneous thematic entities (Ferreira et al 2018). Also, they can be employed to quantify the spatial heterogeneity of patches of a common class (Kumar et al 2018).…”
This study examined the spatiotemporal pattern of urban growth and magnitude of changes in selected Local Government Areas (LGAs) in the suburban area of Ibadan using remote sensing cum spatial metrics. Data for the study were obtained from administrative maps of the study area, population data and satellite imageries. All of these were complemented with ground validations using Global Positioning System (GPS) receiver. Periods of change analysis were divided into two epochs; 1986 to 2002 and 2002 to 2017. The imageries were classified into four landuse/cover classes based on Anderson’s modified version of supervised classification scheme. Accuracy assessment of the imageries was carried out using 100 randomly sampled ground truth points. Ten spatial metrics were selected for analysis using Fragstats program. Results show a significant loss in vegetation due to conversion (Land Consumption Rate, LCR = 0.025, 0.019 and 0.027; Land Absorption Coefficient, LAC = 0.012 and 0.048). Moreover, there was a persistent increase in Number of Patches (NP) indicating a scattered and fragmented but continuous development. However, dwindling values of Patch Density (PD = 90.94, 27.07 and 30.30) indicate expansion through conversion of other landuses at varying rates. Results also indicate an incidence of fragmented low density development in the fringe areas (Area Weighted Mean Patch Fractal Dimension, AWMPFD = 1.37 and 1.39). The study highlights the chaotic land development and unrestrained urban expansion in the study area.
“…Nevertheless, there is a predominance of agricultural areas in the HBGR, which can be mostly explained by its location within one of the largest centers of agribusiness in Latin America [46,47]. Agribusiness and a recent increase in urban infrastructure are responsible for the fragmentation and deforestation of the Atlantic rainforest in the western-central region of the Paraná state [46][47][48][49][50].…”
The elaboration of environmental sustainability indexes (ESI) aims to describe the complexity between social, environmental and ecological health. These indexes play a crucial role by helping stakeholders during the decision-making process and by identifying possible sites that require practical sustainable actions. In this study, we aim to elaborate an ESI for hydrographic basins. We use three factors to build the index: land use; vulnerability to soil degradation and topographic land attributes; and human development. The human development factor includes the dimensions of education, sanitation, longevity and income. These three factors are recommended by the Organization for Economic Cooperation and Development and reflect the pressure–state–impact assessment model. To verify the effectiveness of the proposed ESI, we applied it in a hydrographic basin located in southern Brazil. The sustainability level variation in the basin was classified into five groups: very low (0%), low (17%), intermediate (72%), high (11%) and very high (0%). The predominance of the intermediate sustainability level was found to mainly owe to the extent of agricultural land and the high degree of susceptibility to soil erosion in areas with low environmental conservation. In areas with native vegetation, environmental sustainability was found to be higher than in areas with other land use types. The resulting ESI will help facilitate future studies in environmental, economic or social dimensions in any hydrographic basin.
“…The forest cover of the Campo Mourão comprises two phytophysiognomies of the Atlantic Forest -the Mixed Ombrophilous Forest and the Semideciduous Seasonal Forest -with enclaves the Brazilian Savanna. The expansion of intensive agriculture, agribusiness and urbanization are the main activities responsible for the reduction of natural areas (Ferreira et al, 2018;Ferreira, Bragion, Ferreira, Benedito, & Couto, 2019;Tomadon, Dettke, Caxambu, Ferreira, & Couto, 2019).…”
Public services management is a fundamental role to public institutions, providing society with proper resources for a better quality of life. Local characteristics should be considered during public policies planning; however, generalizations are adopted to elaborate studies, overlooking these characteristics. Our objective was to apply a geostatistical analysis into the public services of Campo Mourão, Paraná State. The number of residents per census tracts lacking in water supply, sewage collection, waste collection, street lighting, electricity, and paving was found based on 2010 Census data. The spatial distribution of these data with the software ArcGIS 9.3 enabled the examination of these characteristics via the Cluster and Outlier method, through the Anselin Local Moran's I spatial analysis module, that identified hotspots and coldspots. As a result, it was found that Campo Mourão is satisfactorily supplied with electricity distribution services and waste collection with only 0.5% of absence in the census tracts. The sewage collection by the general network was the most absent service with 37% absence rate. Parque Industrial I and Jardim Isabel neighborhoods stood out as the most devoid of public services. The Cluster and Outlier Analysis is a subsidy tool for policy-making, which can increase efficiency when providing these services.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.