Geocarto International, Год журнала: 2024, Номер 39(1)
Опубликована: Янв. 1, 2024
Язык: Английский
Environment Development and Sustainability, Год журнала: 2024, Номер unknown
Опубликована: Авг. 14, 2024
Abstract Global biodiversity loss and ecosystem services are significantly impacted by vegetation stress environmental degradation. The study evaluates dynamics long-term meteorological variables in Amathole District Municipality, South Africa, using satellite-derived indices from 2001 to 2022. utilised Terra MODIS Landsat time series data evaluate cover variation the seasonal Vegetation Condition Index (VCI) Normalized Difference (NDVI). A MODIS-specific compositing algorithm was used acquire extract Application for Extracting Exploring Analysis Ready Samples (AppEEARS) area extent. Pearson correlation non-parametric trend analysis were assess characteristics influence of temperature, precipitation, potential evapotranspiration (ET o ) on cover. results reveal a significant decline (<10%) quality green condition index moderate low due prolonged dryness autumn winter, affecting VCI trends. In certain years, western region has experienced browning trends increased vegetation. Spring summer months high greenness (50-100%), with inter-annual decadal NDVI shifting, causing drought sensitivity east. found positive (P < 0.001) between precipitation simulated anomalies dynamics, contrasting changes primarily observed small areas, greening resulting an rate ET , which turn affects temperature change. approach is suitable semi-arid environments can be adopted stakeholders its geospatial implications monitoring evaluation.
Язык: Английский
Процитировано
9
Ecological Informatics, Год журнала: 2025, Номер unknown, С. 103016 - 103016
Опубликована: Янв. 1, 2025
Язык: Английский
Процитировано
1
Environmental Management, Год журнала: 2024, Номер unknown
Опубликована: Окт. 12, 2024
Abstract Flooding is a global threat causing significant economic and environmental damage, necessitating policy response collaborative strategy. This study assessed research trends advances in geospatial meteorological flood risk assessment (G_MFRA), considering the ongoing debate on management adaptation strategies. A total of 1872 original articles were downloaded BibTex format using Web Science (WOS) Scopus databases to retrieve G_MFRA studies published from 1985 2023. The annual growth rate 15.48% implies that field has been increasing over time during period. analysis practice highlights key themes, methodologies, emerging directions. There exists notable gap data methodologies for between developed developing countries, particularly Africa South America, highlighting urgency coordinated efforts cohesive actions. challenges identified body extant literature include technical expertise, complex communication networks, resource constraints associated with application gaps methodologies. advocates holistic approach disaster through ecosystem-based underpins Sustainable Development Goals develop innovative techniques models potential influence decision-making domain. Addressing these requires networked partnership community, institutions, countries.
Язык: Английский
Процитировано
7
Sustainability, Год журнала: 2024, Номер 16(18), С. 8125 - 8125
Опубликована: Сен. 18, 2024
Agricultural droughts in South Africa, particularly the Amahlathi Local Municipality (ALM), significantly impact socioeconomic activities, sustainable livelihoods, and ecosystem services, necessitating urgent attention to improved resilience food security. The study assessed interdecadal drought severity duration Amahlathi’s agricultural potential zone from 1989 2019 using various vegetation indicators. Landsat time series data were used analyse land surface temperature (LST), soil-adjusted index (SAVI), normalized difference (NDVI), standardized precipitation (SPI). utilised GIS-based weighted overlay, multiple linear regression models, Pearson’s correlation analysis assess correlations between LST, NDVI, SAVI, SPI response extent. results reveal a consistent negative LST NDVI ALM, with an increase (R2 = 0.9889) temperature. accuracy dry areas increased 55.8% 2019, despite dense high average of 40.12 °C, impacting water availability, land, local ecosystems. shows ALM increasing since 2019. SAVI indicates slight improvement overall health 0.18 0.25 2009, but decrease 0.21 at 12 24 months that severely impacted cover 2014 notable recovery during wet periods 1993, 2000, 2003, 2006, 2008, 2013, possibly due temporary relief. findings can guide provincial monitoring early warning programs, enhancing resilience, productivity, especially farming communities.
Язык: Английский
Процитировано
5
Natural Hazards, Год журнала: 2024, Номер unknown
Опубликована: Авг. 29, 2024
Abstract The increasing frequency and intensity of wildfires necessitate effective risk management in biodiversity hotspots to mitigate the potential impacts wildfire hazards. study utilised a multi-criteria decision analysis-analytic hierarchy process (MCDA-AHP) model analyse patterns Garden Route District (GRD), focusing on Western Cape, South Africa. used weight assignment overlay analysis evaluate factors, including human, topographic, climatic using data from Landsat WorldClim 1991 2021. was validated MODIS historical fire Global Forest Watch database Confusion Matrix, with burned area extent identified differenced Normalized Burn Ratio (dNBR). results show that despite 53% most area, only 12% burned, high-risk zone accounting for 11%, indicating higher likelihood spreading intensifying. reveal weak positive correlation (r = 0.28) between occurrences areas negative − 0.27) seasons. Human factors significantly impact propagation zones, while topographic have less influence, lower ignition. findings 26% zones southwestern region dominated GRD hotspots, 27% were low-moderate-risk northwestern parts. this can aid assigning risk-based criterion weights support decision-makers regional global prevention management.
Язык: Английский
Процитировано
4
Discover Sustainability, Год журнала: 2025, Номер 6(1)
Опубликована: Фев. 22, 2025
Язык: Английский
Процитировано
0
Discover Sustainability, Год журнала: 2025, Номер 6(1)
Опубликована: Апрель 4, 2025
Язык: Английский
Процитировано
0
Frontiers in Water, Год журнала: 2025, Номер 7
Опубликована: Апрель 17, 2025
The study explored the intellectual domain of climate change, water resource management, adaptation, and governance (CCWRM_AG), identifying research hotspots, proposing solutions to address scarcity environmental impacts in South Africa. In total, 1,117 original published studies BibTeX format were obtained using Web Science Scopus databases from 1997 2022. data analyzed on CCWRM_AG includes top-cited articles distribution author keywords, most-cited journals, word cloud, thematic evolution top affiliations. National Integrated Water Information System (NIWIS) database was utilized monitor assess potential for shortages employed geobibliometrics, an integrated approach that combines bibliometric analysis remote sensing data, evaluate trends dam levels. field Africa is experiencing 18.98% annual growth citations per article, with University Kwazulu-Natal Cape Town ranking first highest total number articles, indicating their significant influence associated centers. Based keyword, change are central issues related drought shortage, a hint relatedness further studies. spatial reveals severe Western province, adversely affecting quality, agriculture, livelihoods due critically low Northern faces its arid lands, while other provinces show relatively stable availability. findings this can enhance multifaceted integrates robust infrastructure, regulatory policies, economic incentives mitigate impacts.
Язык: Английский
Процитировано
0
Sustainability, Год журнала: 2024, Номер 16(16), С. 6905 - 6905
Опубликована: Авг. 12, 2024
Predetermining the risk of possible future droughts enables proactive measures to be taken in key areas such as agriculture, water management, and food security. Through these predictions, governments, non-governmental organizations, farmers can develop water-saving strategies, encourage more efficient use water, minimize economic losses that may occur due drought. Thus, drought forecasts stand out a strategic planning tool for protection natural resources. To achieve this aim, forecasted conditions next decade (2024–2034) at nine meteorological stations Sakarya basin, located northwest Türkiye, are examined, using historical monthly precipitation data from 1991 2023. This study uses Standardized Precipitation Index (SPI) Long Short-Term Memory (LSTM) deep learning methods investigate droughts. The research confirms compatibility reliability LSTM method forecasting by comparing SPI values’ correlograms trends. In addition, maps created visually represent spatial distribution most severe expected coming years, Basin determined. contributes limited literature on forward-looking provides valuable information long-term resource management region.
Язык: Английский
Процитировано
3
Environmental Management, Год журнала: 2024, Номер unknown
Опубликована: Сен. 27, 2024
Язык: Английский
Процитировано
2