Future scenarios based on a CA-Markov land use and land cover simulation model for a tropical humid basin in the Cerrado/Atlantic forest ecotone of Brazil

Cunha, Elias Rodrigues da; Santos, Celso Augusto Guimarães; Silva, Richarde Marques da; Bacani, Vitor Matheus; Pott, Arnildo

doi:10.1016/j.landusepol.2020.105141

Cited by 119 publications

(43 citation statements)

References 47 publications

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“…Third, this study simulated urban growth using the SLEUTH model. It is well known that some cellular automata-based urban simulation models are considered superior, such as the CA_MARKOV model [ 63 ], METRONAMICA model [ 64 ] and FLUS model [ 23 ]. Thus, it will be preferable to use these models in future urban simulation studies, especially if more socio-economic data is included.…”

Section: Discussionmentioning

confidence: 99%

Urban development trend analysis and spatial simulation based on time series remote sensing data: A case study of Jinan, China

Zhang

Zhao

et al. 2021

PLoS ONE

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Uncontrolled urban growth detracts from healthy urban development. Understanding urban development trends and predicting future urban spatial states is of great practical significance. In order to comprehensively analyze urbanization and its effect on vegetation cover, we extracted urban development trends from time series DMSP/OLS NTL and NDVI data from 2000 to 2015, using a linear model fitting method. Six urban development trend types were identified by clustering the linear model parameters. The identified trend types were found to accurately reflect the on-ground conditions and changes in the Jinan area. For example, a high-density, stable urban type was found in the city center while a stable dense vegetation type was found in the mountains to the south. The SLEUTH model was used for urban growth simulation under three scenarios built on the urban development analysis results. The simulation results project a gentle urban growth trend from 2015 to 2030, demonstrating the prospects for urban growth from the perspective of environmental protection and conservative urban development.

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Section: Discussionmentioning

confidence: 99%

Urban development trend analysis and spatial simulation based on time series remote sensing data: A case study of Jinan, China

Zhang

Zhao

et al. 2021

PLoS ONE

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“…(Ghosh et al, 2017). For this reason, many hybrid models integrated with the Markov chain are used (da Cunha et al 2021;Mishra et al 2018;Okwuashi & Ndehedehe 2021;Rahnama 2020;Wang et al 2021). At the same time, the land demand is estimated using the Markov Chain method (Aguejdad, 2021;Xie et al 2020).…”

Section: Flus Modelmentioning

confidence: 99%

Landscape sensitivity-based scenario analysis using flus model: a case of Asarsuyu watershed

Şenik

Kaya

2021

Landscape Ecol Eng

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The landscape is a dynamic and multidimensional concept which includes natural and/or cultural components, ecosystems, relations and processes. The sustainability of landscapes depends on the harmony of these ecosystems. Particularly, it is important to identify areas where the landscape is sensitive within the basin and to restrict urban growth in these areas. However, the land cover change that occurs in the form of transformation from natural areas to cultural areas undermines the operability of the processes within the landscape. In this study, two different scenarios regarding land cover change have been developed using the FLUS model for Asarsuyu Watershed between the years 2018-2036 and 2036-2054. With these scenarios, the areas where landscape is sensitive are revealed and the urban growth is restricted in areas where landscape sensitivity is very high and high. In this respect, landscape sensitivity studies provide an important tool for guiding urban growth in an ecological framework.

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“…Understanding the spatial variability of rainfall in densely populated regions dependent on the supply of water for agriculture and human consumption is essential and indispensable for many sectors of the economy (Zhu et al, 2018;Cunha et al, 2021). Acquiring this knowledge is particularly important in regions both with scarce data (which also suffer from ooding) and with historic problems involving access to adequate water in the Recife Metropolitan Region (RMR), located in the coastal zone of northeastern Brazil (Braga et al, 2013).…”

Section: Introductionmentioning

confidence: 99%

Evaluation of gridded meteorological datasets and their potential hydrological application to a humid area with scarce data for Pirapama River basin, northeastern Brazil

Viana

Montenegro

Silva

et al. 2021

Theor Appl Climatol

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Future scenarios based on a CA-Markov land use and land cover simulation model for a tropical humid basin in the Cerrado/Atlantic forest ecotone of Brazil

Cited by 119 publications

References 47 publications

Urban development trend analysis and spatial simulation based on time series remote sensing data: A case study of Jinan, China

Urban development trend analysis and spatial simulation based on time series remote sensing data: A case study of Jinan, China

Landscape sensitivity-based scenario analysis using flus model: a case of Asarsuyu watershed

Evaluation of gridded meteorological datasets and their potential hydrological application to a humid area with scarce data for Pirapama River basin, northeastern Brazil

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