Assessment of land-use change in coastal areas through geographical information systems

Author(s):  
Verónica Lango-Reynoso ◽  
Karla Teresa González-Figueroa ◽  
Fabiola Lango-Reynoso ◽  
María del Refugio Castañeda-Chávez ◽  
Jesús Montoya-Mendoza

Objective: This article describes and analyzes the main concepts of coastal ecosystems, these as a result of research concerning land-use change assessments in coastal areas. Design/Methodology/Approach: Scientific articles were searched using keywords in English and Spanish. Articles regarding land-use change assessment in coastal areas were selected, discarding those that although being on coastal zones and geographic and soil identification did not use Geographic Information System (GIS). Results: A GIS is a computer-based tool for evaluating the land-use change in coastal areas by quantifying variations. It is analyzed through GIS and its contributions; highlighting its importance and constant monitoring. Limitations of the study/Implications: This research analyzes national and international scientific information, published from 2007 to 2019, regarding the land-use change in coastal areas quantified with the digital GIS tool. Findings/Conclusions: GIS are useful tools in the identification and quantitative evaluation of changes in land-use in coastal ecosystems; which require constant evaluation due to their high dynamism.

2019 ◽  
Vol 13 (2) ◽  
pp. 157-166
Author(s):  
Loredana Copăcean ◽  
Ionut Zisu ◽  
Valentina Mazăre ◽  
Luminiţa Cojocariu

The soil, regarded as a natural resource, but also as a determinant element of the living standards of rural communities, manly agricultural, may be influenced, directly and indirectly, by the modality of land organizing and use. Starting from this consideration, through this study, the spatial and temporal evolution of land use is being pursued, particularly that of forest areas and wooded grasslands. The goal is to notice the changes that have occurred over a 30-year period and the manner how these changes are reflected on the soil features. The researches presented in this paper have been taking place in the north-eastern hilly area of Timiş County, that area having entirely a rural character. For realizing this study satellite images, topographical and cadastral maps, from different time periods, national and international databases, data from specialty literature were used. To all these we should add direct observations in the field, topographic surveys and information collected from local authorities. The processing of cartographic materials and data and scientific information has been realized with Geographical Information Systems specific applications. The obtained result has been expressed in the form of thematic maps, in graphic form or as statistical analysis. At the level of the analyzed area, the obvious changes in the land use, registered over time, are caused by a number of factors, such as: the organization form, from communist to capitalist policies, leaving agricultural land as fallow ground, reduction in livestock, changing land use etc. All these changes have caused the extension of the wooded grasslands, reduction of arable land, installing inferior forest vegetation in qualitative and quantitative terms etc. As a result, the soil, one of the most important natural resources, is degraded qualitatively, underexploited, and on the other hand, its role as a direct and indirect food producer for local communities is significantly reduced.


2020 ◽  
Vol 0 (0) ◽  
Author(s):  
Fatih Sari

AbstractIn this study, landuse changes in the Muğla province were determined and future Land Use Cover Change (LUCC) maps were predicted. Because Muğla accounts for 90% of pine honey production in the world, the study area has vital importance for the Turkish (also for other countries) beekeeping sector and this importance reveals the necessity of both monitoring and predicting the LUCC of Muğla in future. This study demonstrates a combined CA-Markov land use change model and beekeeping suitability analysis via Multi-Criteria Decision Analysis (MCDA) to predict the future of beekeeping suitability in Muğla in the Geographical Information Systems (GIS) platform. 2006 and 2012 LUCC maps were used to predict the 2018 LUCC, and transition probabilities between land cover classes were analyzed. A recent 2018 LUCC map was used to demonstrate accuracy analysis of the predicted 2018 LUCC map. Considering the 0.96 Kappa accuracy, a good fit was determined and the CA-Markov model was used to predict the 2025, 2030, 2040 and 2050 LUCC maps. Moreover, using the Analytical Hierarchy Process (AHP), beekeeping suitability assessment was generated. The results indicate that there will be a considerable increase in the urban areas and decrease in grasslands in the future. Related to this, the suitable areas will be decreased by 50 km2 and non-suitable areas will be increased by 76 km2 from 2018 to 2050. The study simulated the beekeeping suitability to guide beekeepers and local authorities towards a better understanding of the reasons for decreasing suitability and developing urgent land use management systems.


2017 ◽  
Vol 8 (4) ◽  
Author(s):  
Matheus Supriyanto Rumetna ◽  
Eko Sediyono ◽  
Kristoko Dwi Hartomo

Abstract. Bantul Regency is a part of Yogyakarta Special Province Province which experienced land use changes. This research aims to assess the changes of shape and level of land use, to analyze the pattern of land use changes, and to find the appropriateness of RTRW land use in Bantul District in 2011-2015. Analytical methods are employed including Geoprocessing techniques and analysis of patterns of distribution of land use changes with Spatial Autocorrelation (Global Moran's I). The results of this study of land use in 2011, there are thirty one classifications, while in 2015 there are thirty four classifications. The pattern of distribution of land use change shows that land use change in 2011-2015 has a Complete Spatial Randomness pattern. Land use suitability with the direction of area function at RTRW is 24030,406 Ha (46,995406%) and incompatibility of 27103,115 Ha or equal to 53,004593% of the total area of Bantul Regency.Keywords: Geographical Information System, Land Use, Geoprocessing, Global Moran's I, Bantul Regency. Abstrak. Analisis Perubahan Tata Guna Lahan di Kabupaten Bantul Menggunakan Metode Global Moran’s I. Kabupaten Bantul merupakan bagian dari Provinsi Daerah Istimewa Yogyakarta yang mengalami perubahan tata guna lahan. Penelitian ini bertujuan untuk mengkaji perubahan bentuk dan luas penggunaan lahan, menganalisis pola sebaran perubahan tata guna lahan, serta kesesuaian tata guna lahan terhadap RTRW yang terjadi di Kabupaten Bantul pada tahun 2011-2015. Metode analisis yang digunakan antara lain teknik Geoprocessing serta analisis pola sebaran perubahan tata guna lahan dengan Spatial Autocorrelation (Global Moran’s I). Hasil dari penelitian ini adalah penggunaan tanah pada tahun 2011, terdapat tiga puluh satu klasifikasi, sedangkan pada tahun 2015 terdapat tiga puluh empat klasifikasi. Pola sebaran perubahan tata guna lahan menunjukkan bahwa perubahan tata guna lahan tahun 2011-2015 memiliki pola Complete Spatial Randomness. Kesesuaian tata guna lahan dengan arahan fungsi kawasan pada RTRW adalah seluas 24030,406 Ha atau mencapai 46,995406 % dan ketidaksesuaian seluas 27103,115 Ha atau sebesar 53,004593 % dari total luas wilayah Kabupaten Bantul. Kata Kunci: Sistem Informasi Georafis, tata guna lahan, Geoprocessing, Global Moran’s I, Kabupaten Bantul.


Author(s):  
Yasuhisa Kondo ◽  
Takehiro Miki ◽  
Taichi Kuronuma ◽  
Yuichi S. Hayakawa ◽  
Kyoko Kataoka ◽  
...  

Purpose – The purpose of this paper is to present a concurrent implementation of sustainable inventory for the UNESCO World Heritage sites of Bat, Al-Khutm and Al-Ayn in the interior of Oman. Design/methodology/approach – A digital heritage inventory (DHI) was developed through an action research to realize demands of the local agent and to co-design the solution. The Ministry of Heritage and Culture of Oman, the local agent, demanded to have archaeological information of the sites shared with foreign expeditions, which had worked at the sites for decades, for efficient heritage management, scientific research, outreach, and education. To this end, the Bat Digital Heritage Inventory (BatDHI) was implemented by a combination of network-access-ready database application, open source geographical information systems, and a web-based map service to incorporate and visualize previous works, which were concurrently cross-checked and updated by ground-truth surveys. Findings – The online inventory made it possible to update information during archaeological fieldwork in real time and accelerated the decision-making process in heritage management by prompt data updates and visualization. Research limitations/implications – The DHI is extendable for other sites or regions. It should also be considered to install Arches, an open-source suite of digital heritage inventories. Practical implications – The BatDHI was implemented through the action research mentioned in the design/methodology/approach section and yielded the implications mentioned in the findings section. Originality/value – This paper is a challenging application of transdisciplinary approach to the sustainable heritage management, in which researchers and societal stakeholders collaborate for co-design of research agendas, co-production of knowledge, and co-dissemination of outcomes.


F1000Research ◽  
2013 ◽  
Vol 2 ◽  
pp. 285 ◽  
Author(s):  
John E. Duke ◽  
Jesse D. Blanton ◽  
Melissa Ivey ◽  
Charles Rupprecht

We analyzed how land-use patterns and changes in urbanization influence reported rabid raccoons in Georgia from 2006 - 2010.  Using Geographical Information Systems and rabies surveillance data, multivariate analysis was conducted on 15 land-use variables that included natural topography, agricultural development, and urbanization to model positive raccoon rabies cases while controlling for potential raccoon submission bias associated with higher human population densities.  Low intensity residential development was positively associated with reported rabid raccoons while a negative association was found with evergreen forest.  Evergreen forests may offer a barrier effect where resources are low and raccoon populations are not supported.  Areas with pure stands of upland evergreen forest might be utilized in baiting strategies for oral rabies vaccination programs where fewer or no baits may be needed.  Their use as a barrier should be considered carefully in a cost-effective strategy for oral rabies vaccination (ORV) programs to contain the western spread of this important zoonotic disease.


2014 ◽  
Vol 101 ◽  
pp. 123-125 ◽  
Author(s):  
Daniel Felsenstein ◽  
Michal Lichter

Author(s):  
Bishwajit Roy ◽  
Tiago Capela Lourenço ◽  
Filipe Lisboa ◽  
Gil Penha-Lopes ◽  
Filipe Duarte Santos

2015 ◽  
Vol 42 (4) ◽  
pp. 281-285 ◽  
Author(s):  
Abdoulaye Diallo ◽  
Jean-Simon Bourdeau ◽  
Catherine Morency ◽  
Nicolas Saunier

Cities are facing many challenges, in particular in relation to the mobility of people and the structure of land use. Parking management, which makes the link between land use and transportation, is one of the crucial ways to meet these challenges. In the Greater Montreal Area, data from origin–destination (OD) surveys is helpful in understanding typical travel behaviour. This study processes car driver trips from travel surveys to develop vehicle accumulation profiles and derive theoretical parking supplies from the observed parking demand, defined as the maximal number of cars parked in an area at a given time. This research also provides an assessment of the quality of the estimation by comparing the parking supplies derived from an OD survey to parking supplies estimated from public geographical information systems and field surveys. The paper shows that parking supply is subject to high variability and highlights that its assessment must take into account regulation data (obtained from on-street regulation parking signs data) that modulates the availability of the raw parking supply according to different days and hours of the day.


Energies ◽  
2020 ◽  
Vol 13 (17) ◽  
pp. 4516
Author(s):  
Huynh Truong Gia Nguyen ◽  
Erik Lyttek ◽  
Pankaj Lal ◽  
Taylor Wieczerak ◽  
Pralhad Burli

Bioenergy has been globally recognized as one of the sustainable alternatives to fossil fuels. An assured supply of biomass feedstocks is a crucial bottleneck for the bioenergy industry emanating from uncertainties in land-use changes and future prices. Analytical approaches deriving from geographical information systems (GIS)-based analysis, mathematical modeling, optimization analyses, and empirical techniques have been widely used to evaluate the potential for bioenergy feedstock. In this study, we propose a three-phase methodology integrating fuzzy logic, network optimization, and ecosystem services assessment to estimate potential bioenergy supply. The fuzzy logic analysis uses multiple spatial criteria to identify suitable biomass cultivating regions. We extract spatial information based on favorable conditions and potential constraints, such as developed urban areas and croplands. Further, the network analysis uses the road network and existing biorefineries to evaluate feedstock production locations. Our analysis extends previous studies by incorporating biodiversity and ecologically sensitive areas into the analysis, as well as incorporating ecosystem service benefits as an additional driver for adoption, ensuring that biomass cultivation will minimize the negative consequences of large-scale land-use change. We apply the concept of assessing the potential for switchgrass-based bioenergy in Missouri to the proposed methodology.


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