Mathematical model for the dynamics of Savanna ecosystem considering fire disturbances

Brhane, Kewani Welay; Gebru, Michael Gidey; Ahmad, Abdulaziz Garba

doi:10.1016/j.jtbi.2020.110515

Cited by 7 publications

(6 citation statements)

References 17 publications

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“…For example, landscape fragmentation can be measured using established tools called "ecological landscape metrics." Using landscape metrics, a large body of research continues to examine the interplay between environmental changes in response to urban expansion (Brhane et al, 2021;Kanthavel et al, 2021).…”

Section: Related Studymentioning

confidence: 99%

“…The conversion of natural areas to human use, such as metropolitan areas and transportation systems, often leads to landscape fragmentation. For example, landscape fragmentation can be measured using established tools called “ecological landscape metrics.” Using landscape metrics, a large body of research continues to examine the interplay between environmental changes in response to urban expansion (Brhane et al., 2021; Kanthavel et al., 2021).…”

Section: Related Studymentioning

confidence: 99%

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Effect of Urbanization Through Land Coverage Classification

Sangeetha,

Kushwah,

Sumangali

et al. 2023

Radio Science

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Land cover changes from rural or natural habitats to impervious surfaces that support various human activities are called urbanization. The evaluation of policy alternatives for future expansion and the promotion of sustainable urban development therefore place great emphasis on the mapping, analysis, and monitoring of land cover changes in metropolitan environments. By assessing changes in relevant environmental indicators at a range of scales, from local to regional, this study seeks to determine the rate of urbanization and analyze its impact on the environment in and around two key cities in Tamilnadu. Chennai and Madurai are the urban areas under investigation. The results are based on classifications of medium to high spatial resolution optical satellite images from 1995 to 2020. Various classification approaches with combinations of spectral, shape, and texture input information were combined to achieve high classification accuracy. Based on the categories, environmental indicators were created and used to calculate the impact of urbanization on the environment. The findings show that each research area experienced varying degrees of urban expansion and environmental impact. Urban areas grew tenfold between 1995 and 2015, according to a study comparing Chennai and Madurai. To evaluate the spatiotemporal dynamics of urbanization and its environmental impact in various metropolitan regions, this research shows the value of combining urban and environmental indicators with remote sensing data.

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Section: Related Studymentioning

confidence: 99%

Section: Related Studymentioning

confidence: 99%

Effect of Urbanization Through Land Coverage Classification

Sangeetha,

Kushwah,

Sumangali

et al. 2023

Radio Science

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“…Dynamic models are also used for determining the changes in and patterns of vegetation. Xue et al used dynamic models to show how diffusion and nonlocal delay interact to produce vegetation patterns in semiarid environments [16], Brhane et al used a mathematical model to investigate the effects of fire, rainfall, and competition for space on the dynamics of the savannah ecosystem [26], and Yan et al used least-squares linear regression to investigate vegetation dynamics and their relationships to climatic change in southwestern China [27].…”

Section: Introductionmentioning

confidence: 99%

Analysis of Land Use and Land Cover Changes in Urban Areas Using Remote Sensing: Case of Blantyre City

Gondwe

Sun

Munthali

2021

Discrete Dynamics in Nature and Society

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Blantyre City has experienced a wide range of changes in land use and land cover (LULC). This study used Remote Sensing (RS) to detect and quantify LULC changes that occurred in the city throughout a twenty-year study period, using Landsat 7 Enhanced Thematic Mapper (ETM+) images from 1999 and 2010 and Landsat 8 Operational Land Imager (OLI) images from 2019. A supervised classification method using an Artificial Neural Network (ANN) was used to classify and map LULC types. The kappa coefficient and the overall accuracy were used to ascertain the classification accuracy. Using the classified images, a postclassification comparison approach was used to detect LULC changes between 1999 and 2019. The study revealed that built-up land and agricultural land increased in their respective areas by 28.54 km2 (194.81%) and 35.80 km2 (27.16%) with corresponding annual change rates of 1.43 km·year−1 and 1.79 km·year−1. The area of bare land, forest land, herbaceous land, and waterbody, respectively, decreased by 0.05%, 90.52%, 71.67%, and 6.90%. The LULC changes in the study area were attributed to urbanization, population growth, social-economic growth, and climate change. The findings of this study provide information on the changes in LULC and driving factors, which Blantyre City authorities can utilize to develop sustainable development plans.

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“…It is not difficult to find that at present, the research on slope stability at home and abroad is mostly on common slopes [24][25][26][27], but the study on the stability of high and steep slopes is still less, especially in the complex rainfall environment. In view of this, this paper takes a ski resort as the engineering background and uses GeoStudio finite element analysis software to study the influence of various rainfall types (forward type, center front type, back front type, and average type) on the stability of high and steep slopes.…”

Section: Introductionmentioning

confidence: 99%

Study on the Influence of Various Rainfall Types on the Stability of High and Steep Slopes

Qian

Sun

et al. 2021

Geofluids

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Taking the high and steep slope of a ski resort as the background, in order to ensure the structural safety of the slope in the subsequent complex rainfall environment, the calculation principle of unsaturated soil slope stability is summarized, and the parameter interaction analysis is proposed. The numerical simulation method is used to study the influence of various rainfall types on slope stability; combined with a multiparameter combination, the slope stability is analyzed. The results show that different types of rainfall have a significant impact on the safety factor of the slope, the safety factor of the slope under the front rainfall type is the smallest, the minimum value is 1.38, and the front rainfall mostly occurs in the late summer, so it is necessary to avoid construction in the late summer or do a good job of safety monitoring in the late summer. Through setting monitoring points, it is found that the pore water pressure of the three positions from small to large is in the order of slope toe<slope middle<slope top, and the pore water pressure at the slope toe is basically 0 kPa. At this time, the matric suction at the slope toe is the minimum, so the protection should be strengthened. In the combination analysis of the four parameters, the direct effect and coupling effect of C15 are at a small level, which indicates that when the four parameters fluctuate together, the mutual coupling is not the effect of a single parameter, which provides a theoretical reference for the follow-up related research.

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Mathematical model for the dynamics of Savanna ecosystem considering fire disturbances

Cited by 7 publications

References 17 publications

Effect of Urbanization Through Land Coverage Classification

Effect of Urbanization Through Land Coverage Classification

Analysis of Land Use and Land Cover Changes in Urban Areas Using Remote Sensing: Case of Blantyre City

Study on the Influence of Various Rainfall Types on the Stability of High and Steep Slopes

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