
Ecological Indicators, Год журнала: 2024, Номер 167, С. 112689 - 112689
Опубликована: Окт. 1, 2024
Язык: Английский
Ecological Indicators, Год журнала: 2024, Номер 167, С. 112689 - 112689
Опубликована: Окт. 1, 2024
Язык: Английский
Heliyon, Год журнала: 2024, Номер 10(2), С. e24416 - e24416
Опубликована: Янв. 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
Язык: Английский
Процитировано
10Heliyon, Год журнала: 2024, Номер 10(9), С. e30704 - e30704
Опубликована: Май 1, 2024
This study investigated the impacts of LULC changes on selected ecosystem services in Maze National Park (MzNP) and its environs southwestern Ethiopia. Landsat images from 1985, 2005, 2020 were used to examine land use cover (LULC) changes. Images classified using Random Forest (RF) classifier, their accuracy was computed QGIS. Ecosystem service values (ESVs) then estimated benefit transfer method employing Service Valuation Database (ESVD) coefficients. Additionally, socioeconomic survey conducted understand local community's perceptions regarding dynamics services. The findings revealed a significant increase croplands (103.7%) built-up areas (31.32%), while riverine forests, water bodies, wooded grasslands declined. overall ESVs decreased by 20%, 2038.42 million USD 1985 1628.72 2020, mainly driven reductions forests grasslands. As for individual period only food production increased 0.7 USD, supply, climate regulation, raw materials, recreation tourism declined 180.35, 2.67, 45.72, 481.62 respectively. coefficient sensitivity ranged 0.01 0.94, <1, that our estimates are relatively robust. such as grazing, recreation, wild food, firewood highly valued residents, but they declining over time due environmental degradation restrictions access park. Thus, understanding can help decision-makers design effective protected area management plans reduce potential conflicts resource uses. Further investigations suggested more accurately quantify high resolution satellite imageries different valuation methods.
Язык: Английский
Процитировано
10Land, Год журнала: 2024, Номер 13(3), С. 276 - 276
Опубликована: Фев. 22, 2024
The Yellow River Delta (YRD) stands as a globally significant wetland, playing pivotal role in sustaining regional ecosystem stability and offering crucial services to humanity. However, anthropogenic activities, particularly resource development, unavoidably disrupt the ecosystem, leading degradation of these vital services. Utilizing satellite remote sensing data, InVEST model, energy analysis, this study introduces concept ‘emergy’ an ‘intermediate variable’ investigate spatiotemporal changes service value YRD. Five distinct types are selected for quantitative assessment analysis YRD’s evolution from 1990 2020. Results indicate 63.7% decline total 2010, followed by 16.5% increase 2010 also unveils spatial shifts high- low-value areas attributes rapid urbanization alterations land use cover. values concretizes intangible functions natural resources. This lays foundation establishing mechanism that combines positive incentives reverse pressure achieve economic valuation service.
Язык: Английский
Процитировано
7Scientific Reports, Год журнала: 2024, Номер 14(1)
Опубликована: Апрель 23, 2024
The role of carbon emissions resulting from land use change in the compilation national greenhouse gas emission inventories is paramount significance. This study centered on Mianyang Science and Technology City New Area located Sichuan Province, China. We used CLUE-S model Sentinel-2A remote sensing data 2017 to simulate validate changes 2022. Based this validation, we established three simulation scenarios: a baseline scenario, an agricultural development construction scenario. Using 2022, projected for 2030. also CO
Язык: Английский
Процитировано
4IOP Conference Series Earth and Environmental Science, Год журнала: 2025, Номер 1462(1), С. 012064 - 012064
Опубликована: Март 1, 2025
Abstract Analyzing land use and cover (LULC) is crucial for understanding community development evaluating changes in the Anthropocene era. Traditional LULC mapping struggles with challenges like capturing under cloud limited ground truth data. To enhance accuracy comprehensiveness of change descriptions, this study applies a blend advanced techniques. Specifically, it utilizes Landsat-8 satellite imagery 30- meter multitemporal resolution, alongside computing capabilities Google Earth Engine (GEE) platform. Additionally, random forest (RF) algorithm integrated into study. This research aims to generate sustainable maps Samin Watershed years 2014 2023. A novel dual composite RF approach based on classification used create final map, leveraging RF-50 RF-100 tree models. Both models seven input bands (B1 B7) as datasets classification.
Язык: Английский
Процитировано
0Earth Systems and Environment, Год журнала: 2024, Номер 8(3), С. 869 - 893
Опубликована: Авг. 12, 2024
Язык: Английский
Процитировано
3Опубликована: Июль 2, 2024
Understanding the dynamics of land use and cover (LULC) change in today's context rapid urbanization is critical for sustainable urban planning environmental conservation. Therefore, research aim to understand LULC changes Chattogram Metropolitan Area assess policy implications these development. Through a comparative analysis maps two periods (1997–2007; 2007–2017), we investigated transformation detailed zone before after area plan (DAP) approval. Using mixed-method approach integrating quantitative data with analysis, elucidated impacts trends on local ecosystems—specifically conversion forest waterscape use. The findings reveal significant forested areas peri-urban landscapes, highlighting urgent need interventions that focus areas. study further critiques DAP's effectiveness, revealing disconnect between regional implementation outcomes. This proposes validated, scalable framework master plans adapts complex socio-ecological contexts rapidly urbanizing regions.
Язык: Английский
Процитировано
2Frontiers in Ecology and Evolution, Год журнала: 2024, Номер 12
Опубликована: Фев. 22, 2024
Clarifying the driving mechanisms of spatial and temporal changes in regulating ecosystem service value (RESV) is an important part realizing goal sustainable development. Existing studies have focused on specific factors, ignoring complex interactions between factors their regional differences. In this regard, RESV its different zones (core area, fringe peripheral area) were explored Poyang Lake Area, China. The results showed that spatially distribution characteristics area > core while lakes influenced provision services, showing per unit was higher gradually declined with increase distance from lakes, presenting decreasing trend area. From 2000 to 2020, study lost 70.5988 billion CNY for RESV, which most affected. Further analysis mechanism areas found there are differences paths factors: Population density mainly affects precipitation GDP land
Язык: Английский
Процитировано
1Land, Год журнала: 2024, Номер 13(8), С. 1157 - 1157
Опубликована: Июль 28, 2024
Understanding the dynamics of land use and cover (LULC) change in today’s context rapid urbanization is critical for sustainable urban planning environmental conservation. Therefore, research aim to understand LULC changes Chattogram Metropolitan Area assess policy implications these development. Through a comparative analysis maps two periods (1997–2007; 2007–2017), we investigated transformation detailed zone before after Detailed Plan (DAP) approval. Using quantitative data review, elucidated impacts trends on local ecosystems—specifically conversion forest waterscape use. The findings reveal significant forested areas peri-urban landscapes, highlighting urgent need interventions that focus areas. study further critiques DAP’s effectiveness, revealing disconnect between regional implementation outcomes. This proposes validated, scalable framework master plans adapts complex socioecological contexts rapidly urbanizing regions.
Язык: Английский
Процитировано
1Ecological Indicators, Год журнала: 2024, Номер 167, С. 112689 - 112689
Опубликована: Окт. 1, 2024
Язык: Английский
Процитировано
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