A spatio-temporal analysis of the magnitude and trend of land use/land cover changes in Gilgel Gibe Catchment, Southwest Ethiopia

Heliyon, Journal Year: 2024, Volume and Issue: 10(2), P. e24416 - e24416

Published: Jan. 1, 2024

Analyzing alterations in land use/land cover is crucial for water Scientists, planners, and decision-makers watershed management. This examination enables the development of effective solutions to mitigate adverse impacts resulting from such changes. The focus this research was analyzing within Gilgel Gibe Catchment 1991 - 2021. LULC data 1991-2021 were derived multispectral Landsat images. Data also gathered using field observations key informant interview. classes (1991-2021) generated utilizing supervised classification with maximum likelihood algorithm ENVI 5.1 ArcGIS 10.5. Change detection analysis accuracy assessment done where levels all study periods > 85 %, overall Kappa statistics 0.89. Built-up area cultivated catchment are increasing magnitude change; whereas, while forest grazing shrinking declining magnitudes change, shrubland covers body change catchment. net increase degraded a reflection degradation natural resources Swift escalation population subsequent raising demand farmland shrub (e.g. fuel-wood construction) products, decline yield, unemployment lack alternative income source, open access limited conservation principal factors dramatic shrinkages grazing, forest, resources. Thus, concerned bodies should take rehabilitation measures restore lands, improve production yield by improved farm-inputs irrigation, create employment sources youth, women poor so as ensure sustainable rural livelihoods curb on other

Language: Английский

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Spatial and temporal classification and prediction of LULC in Brahmani and Baitarni basin using integrated cellular automata models

Environmental Monitoring and Assessment, Journal Year: 2024, Volume and Issue: 196(2)

Published: Jan. 6, 2024

Language: Английский

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Evaluating the impact of land use and land cover changes on forest ecosystem service values using landsat dataset in the Atwima Nwabiagya North, Ghana

Heliyon, Journal Year: 2023, Volume and Issue: 9(11), P. e21736 - e21736

Published: Oct. 28, 2023

This study investigated land use and cover (LULC) changes its impact on forest ecosystem service values for 20 years in the Atwima Nwabaiagya North District using Landsat images of 2002, 2012 2022. Supervised classification with Maximum Likelihood Algorithm was used to classify images. Five LULC types (high-dense forest, low-dense water, bare-ground, Built-up area) were successfully classified, overall accuracies 99.0 % Kappa coefficients 0.99. The result showed a reduction high-dense 23.87 %, 26.53 water areas as 1.16 whereas built-up (21.44 %) bare-ground (27 experienced an expansion their areas. Related literatures ecological assets value table adjusted price evaluate response changes. discovered that high forests have declined from USD 22.68 million 8.75 14.56 5.2 respectively. total by 33.73 2002 21.91 It revealed most notable feature bare-grounds. There is need curb current drivers Nwabiagya stop further degradation optimum delivery district. For planners decision makers who site-specific information effects alterations services, study's findings are essential. will make it easier track past environmental obtain quick, accurate results decision-making.

Language: Английский

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Integrative approach for landscape demography analysis of Plakad-Pa Pak-Tawan-Ok (Betta siamorientalis): Deciphering genetic and environmental factors in Eastern Thailand's conservation efforts

Global Ecology and Conservation, Journal Year: 2024, Volume and Issue: 51, P. e02870 - e02870

Published: Feb. 29, 2024

In recent decades, a global acceleration of urbanization has been observed, leading to significant habitat loss and fragmentation. Economic development in eastern Thailand promoted, but this often coincided with unsustainable exploitation natural resources. The expansion urban industrial areas the region puts many organisms at risk extinction owing loss. Plakad-Pa Pak-Tawan-Ok (Betta siamorientalis) is an endemic species found only Thailand. study, genetic diversity population structure 17 B. siamorientalis populations were analyzed using microsatellite genotyping. High variability was observed. STRUCTURE plot reveals large, distinct gene pools lower Prachin River Phra Prong Part 2. Migration analyses showed that estimated flow between aligned dominant water flooding direction toward mouth Bang Pakong on western side Thus, area must be considered vital resource. pairwise fixation index values statistically for all populations, including those within same sub-watershed, indicating differentiation among populations. This suggests relatively low ecologically divergent Mean annual total precipitation also significantly correlated diversity. We propose need careful consideration awareness planning implementation Resource allocation management efforts may most effective when directed preservation suitability, specifically relation resources, rather than prioritizing enhancements landscape connectivity siamorientalis.

Language: Английский

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Past and future land use/land cover, and climate change impacts on environmental sustainability in Vea catchment, Ghana

Geocarto International, Journal Year: 2023, Volume and Issue: 38(1)

Published: Nov. 28, 2023

LULC and climate change are the two most common manifestations of global environmental change. The objective this study was to quantify past future impacts on sustainability in Vea catchment Ghana. (1998–2022) analyzed using ERDAS Imagine 15 upon application Support Vector Machine (SVM) classifier algorithm. CA-Markov used predict land-use changes 2038 2054. Climate projected under SSP 4.5 8.5 emission scenarios R software. projections from an ensemble mean SSPs near (2025–2052) far (2071–2100) were compared reference period (1993–2022). results show that, between 1998 2022, cropland increased 10.9% 51.98%, while grassland forest areas decreased 54.8%–18.14% 31.7%–22.73%, respectively. predicted showed increase 181 km2 183 2054 at expense forest, which expected decrease 51–50 73–71 km2, findings increases average temperature range 2.10 3.5 °C SSP4.5 2.7 4.15 SSP8.5. Under SSP4.5, annual precipitation is anticipated by 12.34–13.1%, SSP8.5 projects a 12.6–13.6%. Results will help setting up long-term management strategies as well development appropriate adaptation methods mitigate ongoing sustainability.

Language: Английский

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Land use change and Ecological Network in rapid urban growth region in Selangor region, Malaysia

Scientific Reports, Journal Year: 2024, Volume and Issue: 14(1)

Published: July 16, 2024

Abstract Rapid urbanization will cause various land use changes and the vast occupation of green spaces, a critical factor in deterioration biodiversity urbanized areas. Some species wildlife are endangered due to habitat shrunk fragmentation. However, Malaysia's current protection range is still limited. The Ecological Network (EN) refers framework ecological components, which can be obtained by geographical technical approaches support more diversity ranges. Furthermore, little research has been found on EN Malaysia impact change EN. Therefore, Selangor region selected as study area. This paper quantifies measures extent obtain EN’s change. result shown that forestland decreased, explored people for housing agriculture from 2000 2020. trend Overall, this study's results imply led EN's worsened performance 2020 hopes could help supply information conserving future development urban sustainable planning Malaysia.

Language: Английский

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Assessing the Implications of Deforestation and Climate Change on Rural Livelihood in Ghana: a Multidimensional Analysis and Solution-Based Approach

Environmental Management, Journal Year: 2024, Volume and Issue: unknown

Published: Sept. 27, 2024

Language: Английский

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LULC change detection using support vector machines and cellular automata-based ANN models in Guna Tana watershed of Abay basin, Ethiopia

Environmental Monitoring and Assessment, Journal Year: 2023, Volume and Issue: 195(11)

Published: Oct. 17, 2023

Language: Английский

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Three decades of land use and land cover changes in an East African lake and their implications for the conservation of bird communities

African Journal of Ecology, Journal Year: 2024, Volume and Issue: 62(3)

Published: June 10, 2024

Abstract Land use and land cover (LULC) dynamics using GIS remote sensing techniques measure extent spatial structure, which are critical for monitoring biomes. A digital LULC detection technique with multi‐temporal satellite imagery analysis was employed at four timepoints from 1987 to 2017 performed supervised classifications method in ERDAS imagine 2015. For image classification, the five major types included forests, built‐up land, agricultural water bodies grasslands. of grasslands, forests reduced, while lands increased. Avifaunal surveys were conducted 11 sites across classes compare species richness abundance. The decrement would result habitat loss, affecting endemic threatened avifauna, as showed highest avifaunal diversity ( H ′ = 3.80). Despite decrement, grasslands demonstrated higher (107) abundance (2767). Species decreased significantly p < 0.05), 0.01). all other classes. Regular change assessment is integral biodiversity conservation efforts, particularly Lake Tana.

Language: Английский

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Integrated use of the CA–Markov model and the Trends.Earth module to enhance the assessment of land cover degradation

ENVIRONMENTAL SYSTEMS RESEARCH, Journal Year: 2024, Volume and Issue: 13(1)

Published: July 14, 2024

Abstract This study aims to demonstrate the potential of assessing future land cover degradation status by combining forecasting capabilities Cellular-Automata and Markov chain (CA-Markov) models in Idris Selva with (LCD) model Trends.Earth module. The focuses on upper Zambezi Basin (UZB) southern Africa, which is one regions high rates globally. Landsat satellite imagery utilised generate historical (1993–2023) use (LCLU) maps for UZB, while global European Space Agency Climate Change Initiative (ESA CCI) LCLU are obtained from CA-Markov employed predict changes between 2023 2043. LCD module QGIS 3.32.3 then used assess forecasted status. findings reveal that produced local classifications provide more detailed information compared those ESA CCI product. Between 2043, UZB predicted experience a net reduction approximately 3.2 million hectares forest cover, an average annual rate − 0.13%. In terms degradation, remain generally stable, 87% 96% total area expected be stable during periods 2023–2033 2033–2043, respectively, relative base years 2033. Reduction due expansion grassland, human settlements, cropland projected drive improvements anticipated through conversion grassland into forested areas. It appears using locally high-resolution images provides better assessments than products. By leveraging opportunities offered capacity such as CA–Markov model, evidenced this study, valuable can effectively monitoring degradation. implement targeted interventions align objective realising United Nations' neutral world target 2030.

Language: Английский

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