Water, Energy and Food Nexus: Policy Relevance and Challenges

Frontiers in Sustainable Food Systems, Journal Year: 2022, Volume and Issue: 5

Published: Feb. 1, 2022

Connections between water, food, and energy are at the center of long-term economic environmental development protection. Water, food keys to input a necessary component progress. The adoption water management policies techniques that support sustainable use resources while promoting growth is becoming an important concern, particularly in countries where scarcity critical or problematic. This study aimed evaluating Energy Food Nexus (WEF), as well challenges its implementation. looked articles were published on WEF nexus 2015 2021 acquired from Scopus database, focusing gaps implementations. I searched for relevant key terms database search found hundreds WEF, which 28 scope these downloaded BibTeX file analysis was done using R programming. A number insights implications identified based analyses findings reviewed research order increase policy relevance overall implementation by public decision-making institutions. To boost uptake findings, gives outline primary constraints restrict nexus.

Language: Английский

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Spatial Pattern of Changing Vegetation Dynamics and Its Driving Factors across the Yangtze River Basin in Chongqing: A Geodetector-Based Study

Land, Journal Year: 2023, Volume and Issue: 12(2), P. 269 - 269

Published: Jan. 17, 2023

Revealing the spatial dynamics of vegetation change in Chongqing and their driving mechanisms is major value to regional ecological management conservation. Using several data sets, including SPOT Normalized Difference Vegetation Index (NDVI), meteorological, soil, digital elevation model (DEM), human population density others, combined with trend analysis, stability geographic detectors, we studied pattern temporal variation NDVI its across from 2000 2019, quantitatively analyzed relative contribution 18 drivers (natural or variables) that could influence dynamics. Over 20-year period, found region’s had an annual average 0.78, greater than 0.7 for 93.52% total area. Overall, increased at a rate 0.05/10 year, 81.67% areas undergoing significant expansion, primarily metropolitan Chongqing’s Three Gorges Reservoir Area (TGR) Wuling Mountain (WMA). The main factors influencing were activities, climate, topography, which most influential variables respectively night light brightness (NLB, 51.9%), air temperature (TEM, 47%), (ELE, 44.4%). Furthermore, interactions between differing types stronger those arising similar ones; all pairwise interaction tested, 92.9% them characterized by two-factor enhancement. three powerful detected NLB ∩ TEM (62.7%), atmospheric pressure (PRS, 62.7%), ELE (61.9%). Further, identified appropriate kind range key elements shaping development Altogether, our findings can serve as timely scientific foundation developing vegetative resource strategy Yangtze River basin duly takes into account local terrain, activity.

Language: Английский

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Interdecadal Variations in Agricultural Drought Monitoring Using Land Surface Temperature and Vegetation Indices: A Case of the Amahlathi Local Municipality in South Africa

Sustainability, Journal Year: 2024, Volume and Issue: 16(18), P. 8125 - 8125

Published: Sept. 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.

Language: Английский

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Regulation factors driving vegetation changes in China during the past 20 years

Journal of Geographical Sciences, Journal Year: 2023, Volume and Issue: 33(3), P. 508 - 528

Published: March 1, 2023

Language: Английский

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Spatial and temporal evolutions of terrestrial vegetation drought and the influence of atmospheric circulation factors across the Mainland China

Ecological Indicators, Journal Year: 2023, Volume and Issue: 158, P. 111455 - 111455

Published: Dec. 21, 2023

Vegetation drought can reduce the net ecosystem productivity, resulting in disturbances to sustainable development of humans and nature. In this study, Health Index (VHI) was used identify vegetation drought. The spatial temporal evolution characterized using Pixel-based Trend Identification Method (PTIM) China from 1982 2020. Moreover, multiple cross-wavelet techniques were for revealing correlations between atmospheric circulation factors their combinations with results indicates that: (1) there is a decreasing trend during study period, while it will show an increasing future; (2) South prone spring summer drought, Sichuan Basin autumn winter drought; (3) spring, most obvious mitigation appears; (4) combination factors, North Pacific (NPI)-North Atlantic Oscillation (NAO)-Arctic (AO), has significant impact on across China.

Language: Английский

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Vegetation Type Mapping in Southern Patagonia and Its Relationship with Ecosystem Services, Soil Carbon Stock, and Biodiversity

Sustainability, Journal Year: 2024, Volume and Issue: 16(5), P. 2025 - 2025

Published: Feb. 29, 2024

Vegetation Type (VT) mapping using Optical Earth observation data is essential for the management and conservation of natural resources, as well evaluation supply provisioning ecosystem services (ESs), maintenance functions, biodiversity in anthropized environments. The main objective present work was to determine spatial patterns VTs related climatic, topographic, spectral variables across Santa Cruz province (Southern Patagonia, Argentina) order improve our understanding land use cover at regional scale. Also, we examined relationship between potential (PB), ESs, soil organic content (SOC) study region. We sampled 59,285 sites sorted into 19 major categories with a reliable discrimination level from field measurements. selected 31 predictive environmental dataset covariates, which represent key factors distribution such climate (four), topography (three), (24) factors. All covariate maps were generated or uploaded Google Engine cloud-based computing platform subsequent modeling. A total 270,292 sampling points used validation obtained classification map. area estimates extracted map identified about 142,085 km2 grasslands (representing 58.1% area), 38,355 Mata Negra Matorral thicket (15.7%), 25,189 bare (10.3%). From validation, Overall Accuracy Kappa coefficient values 90.40% 0.87, respectively. Pure mixed forests presented maximum SOC (11.3–11.8 kg m−2), followed by peatlands (10.6 m−2) deciduous Nothofagus (10.5 m−2). higher some shrublands (64.1% Verde 63.7% shrublands) comparable those found open (Nothofagus antarctica forest 60.4%). provision ESs pure evergreen (56.7%) minimum shrubland types (Mata shrubland) steppe (29.7–30.9%). This has provided an accurate VT that provides crucial information ecological studies, conservation, vegetation restoration, strategic decision-making.

Language: Английский

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Modelling spatiotemporal patterns of wildfire risk in the Garden Route District biodiversity hotspots using analytic hierarchy process in South Africa

Natural Hazards, Journal Year: 2024, Volume and Issue: unknown

Published: Aug. 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.

Language: Английский

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Global Distribution and Local Variation of Pre-Rain Green-Up in Tropical Dryland

Remote Sensing, Journal Year: 2025, Volume and Issue: 17(8), P. 1377 - 1377

Published: April 12, 2025

Pre-rain green-up is a distinctive phenological phenomenon observed in arid and semi-arid regions, featuring the sprouting of plants before onset rainy season. This indicates intricate controls vegetation phenology other than precipitation, yet its global distribution patterns underlying causes remain unclear. In this study, we used remotely sensed rainfall data to map pre-rain for first time savanna areas. The results revealed that over one-third mountainous regions. Furthermore, explore potential effect groundwater accessibility on green-up, employed high-resolution imagery quantify parameters analyzed relationship between elevation at watershed scale typical region Africa. We found within area, 60.64% sub-watersheds show significant negative correlation (p < 0.05) start season (SOS) elevation, indicating SOS occurs earlier higher elevations despite complex spatial variability overall. Our study provides picture tropical drylands suggests tree internal water regulation mechanisms rather control green-up.

Language: Английский

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Deep learning reveals the relationship between vegetation and runoff in the Weihe River Basin on the Loess Plateau

Hydrological Sciences Journal, Journal Year: 2025, Volume and Issue: unknown

Published: April 24, 2025

Language: Английский

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Long-Term Dynamics and Response to Climate Change of Different Vegetation Types Using GIMMS NDVI3g Data over Amathole District in South Africa

Atmosphere, Journal Year: 2022, Volume and Issue: 13(4), P. 620 - 620

Published: April 13, 2022

Monitoring vegetation dynamics is essential for improving our understanding of how natural and managed agricultural landscapes respond to climate variability change in the long term. Amathole District Municipality (ADM) Eastern Cape Province South Africa has been majorly threatened by during last decades. This study explored long-term its response variations using satellite-derived normalized difference index from third-generation Global Inventory Modeling Mapping Studies (GIMMS NDVI3g) ERA5-Land global reanalysis product. A non-parametric trend partial correlation analyses were used evaluate changes role climatic variables (temperature, precipitation, solar radiation wind speed) period 1981–2015. The results ADM’s seasonal NDVI3g characteristics suggested that negative (browning trends) dominated most landscape winter summer while positive (greening) trends autumn period. Much these reflected forest with a higher coefficient variation (CV ≈ 15) than other types 10). In addition, pixel-wise indicated (negative) relationship between precipitation spring–autumn (winter) seasons, reverse was case across types. However, relationships relatively low (R < 0.5) somewhat suggest potential atmospheric ADM. findings this provide invaluable insights into consequences need well-informed decisions underpin evaluation management regional resources.

Language: Английский

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