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Search Results (1,021)

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15 pages, 488 KiB  
Systematic Review
Maternal Socioeconomic Status and the Initiation and Duration of Breastfeeding in Western Europe Versus Southern Africa: A Systematic Review—A Contribution from the ConcePTION Project
by Martje Van Neste, Katoo Verschoren, Rani Kempenaers, An Eerdekens, Danine Kitshoff, Karel Allegaert and Annick Bogaerts
Nutrients 2025, 17(6), 946; https://doi.org/10.3390/nu17060946 (registering DOI) - 8 Mar 2025
Viewed by 214
Abstract
Breastfeeding is associated with many health benefits, while its prevalence is determined by numerous factors, including socioeconomic status (SES). SES is the position of an individual on the socioeconomic scale, using occupation, education, income, place of residence, and wealth as key indicators. Since [...] Read more.
Breastfeeding is associated with many health benefits, while its prevalence is determined by numerous factors, including socioeconomic status (SES). SES is the position of an individual on the socioeconomic scale, using occupation, education, income, place of residence, and wealth as key indicators. Since its interrelationship with health is complex, world region-specific insights into the relevant socioeconomic inequalities impacting breastfeeding practices are crucial to effectively address these. The purpose of this systematic review is, therefore, to explore SES indicators affecting breastfeeding initiation and duration in two different United Nations-defined regions, Western Europe and Southern Africa to assess (dis)similarities, as these can guide region-specific, targeted interventions to improve practices. A systematic literature search was conducted across seven databases, of which 47 articles were included. The risk of bias was assessed, and outcome data related to SES as well as breastfeeding initiation and duration were collected. Higher education consistently leads to better breastfeeding initiation outcomes, but economic constraints and employment in informal sectors hinder breastfeeding practices in Southern Africa. In Western Europe, supportive working conditions and a migration background have a positive impact, while employment status and income show rather mixed effects. Community, regional, and religious factors play significant, ambiguous roles. In South Africa, food insecurity, the living environment, and geographic location complicate breastfeeding. This systematic review highlights the significant influence of SES on breastfeeding initiation and duration in Western Europe and Southern Africa, while the specific factors indeed vary between both regions. This systematic review therefore illustrates the relevance of region-specific SES factors, impacting breastfeeding practices. Addressing these barriers with region-specific, targeted approaches may result in substantial progress toward achieving global breastfeeding goals. Registration: PROSPERO (CRD42023473433). Full article
(This article belongs to the Special Issue What’s New in Breastfeeding?)
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<p>PRISMA 2020 flow diagram for study selection and inclusion [<a href="#B23-nutrients-17-00946" class="html-bibr">23</a>].</p>
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13 pages, 944 KiB  
Review
A Review of Community-Based Strategies for Addressing Bush Encroachment in the Semi-Arid Savannah Rangelands of Southern Africa
by Tshidi Mokgatsane Baloyi, Thabang Maphanga, Benett Siyabonga Madonsela, Xolisiwe Sinalo Grangxabe, Karabo Concelia Malakane and Lawrence Munjonji
Conservation 2025, 5(1), 15; https://doi.org/10.3390/conservation5010015 - 7 Mar 2025
Viewed by 119
Abstract
There are distinct management approaches for communal properties and commercial agricultural properties concerning bush encroachment. The utilisation of community-based knowledge possesses the capacity to enhance our comprehension of localised circumstances and provide valuable experience in endeavours targeted at supporting local communities. The perception [...] Read more.
There are distinct management approaches for communal properties and commercial agricultural properties concerning bush encroachment. The utilisation of community-based knowledge possesses the capacity to enhance our comprehension of localised circumstances and provide valuable experience in endeavours targeted at supporting local communities. The perception of bush encroachment control as a sustained endeavour rather than a singular occurrence is of utmost importance. This may include considering other solutions that may not always be the most convenient or cost-effective. The objective of this study was to evaluate the predominant methods employed by rural communities in semi-arid savannah rangelands in Southern Africa to manage bush encroachment. Using the Preferred Reporting Items for Systematic Reviews and Meta-analyses (PRISMA) guidelines, a literature search was conducted in the field of communal strategies of bush encroachment management. The findings of this study indicate that the predominant and commonly utilised management strategy for mitigating bush encroachment includes the extraction of plants for medicinal applications, followed by firewood extraction. Indigenous and traditional knowledge systems have played a pivotal role in communal bush encroachment management. It is recommended that communal approaches to bush encroachment management in Southern Africa’s semi-arid savannah rangelands harness the power of indigenous knowledge while benefiting from modern scientific insights, ultimately leading to more effective and sustainable management practices. This can be accomplished by fostering community involvement and active participation, facilitating the exchange of knowledge, enhancing skills and expertise, preserving and safeguarding indigenous wisdom through documentation, and harmoniously blending traditional and scientific methodologies. Full article
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<p>Structure of research in Web of Science using specialised VOSviewer tool software (1.6.20).</p>
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<p>This paper elucidates the methodology employed in the process of selecting studies from the four most prominent databases. The approach described in this study follows the principles set out by the Preferred Reporting Items for Systematic Reviews and Meta-analyses (PRISMA).</p>
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21 pages, 11630 KiB  
Article
Assessment of the Maize Crop Water Stress Index (CWSI) Using Drone-Acquired Data Across Different Phenological Stages
by Mpho Kapari, Mbulisi Sibanda, James Magidi, Tafadzwanashe Mabhaudhi, Sylvester Mpandeli and Luxon Nhamo
Drones 2025, 9(3), 192; https://doi.org/10.3390/drones9030192 - 6 Mar 2025
Viewed by 91
Abstract
The temperature-based crop water stress index (CWSI) is the most robust metric among precise techniques that assess the severity of crop water stress, particularly in susceptible crops like maize. This study used a unmanned aerial vehicle (UAV) to remotely collect data, to use [...] Read more.
The temperature-based crop water stress index (CWSI) is the most robust metric among precise techniques that assess the severity of crop water stress, particularly in susceptible crops like maize. This study used a unmanned aerial vehicle (UAV) to remotely collect data, to use in combination with the random forest regression algorithm to detect the maize CWSI in smallholder croplands. This study sought to predict a foliar temperature-derived maize CWSI as a proxy for crop water stress using UAV-acquired spectral variables together with random forest regression throughout the vegetative and reproductive growth stages. The CWSI was derived after computing the non-water-stress baseline (NWSB) and non-transpiration baseline (NTB) using the field-measured canopy temperature, air temperature, and humidity data during the vegetative growth stages (V5, V10, and V14) and the reproductive growth stage (R1 stage). The results showed that the CWSI (CWSI < 0.3) could be estimated to an R2 of 0.86, RMSE of 0.12, and MAE of 0.10 for the 5th vegetative stage; an R2 of 0.85, RMSE of 0.03, and MAE of 0.02 for the 10th vegetative stage; an R2 of 0.85, RMSE of 0.05, and MAE of 0.04 for the 14th vegetative stage; and an R2 of 0.82, RMSE of 0.09, and MAE of 0.08 for the 1st reproductive stage. The Red, RedEdge, NIR, and TIR UAV-bands and their associated indices (CCCI, MTCI, GNDVI, NDRE, Red, TIR) were the most influential variables across all the growth stages. The vegetative V10 stage exhibited the most optimal prediction accuracies (RMSE = 0.03, MAE = 0.02), with the Red band being the most influential predictor variable. Unmanned aerial vehicles are essential for collecting data on the small and fragmented croplands predominant in southern Africa. The procedure facilitates determining crop water stress at different phenological stages to develop timeous response interventions, acting as an early warning system for crops. Full article
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<p>Location of the Swayimane study area, study site, and smallholder maize field.</p>
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<p>Flowchart showing the data collection (blue), data preparation RF analysis (orange), and data analysis (green).</p>
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<p>(<b>a</b>) An automated in-field meteorological tower in the maize field, (<b>b</b>) meteorological tower-mounted infrared radiometers (IRRs), and (<b>c</b>) a CR1000 data logger, an Em50 datalogger, and a 12 V battery.</p>
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<p>(<b>a</b>) UAV system, DJI Matrice 300, (<b>b</b>) MicaSense Altum camera, (<b>c</b>) DJI M-300 flight plan, and (<b>d</b>) MicaSense Altum calibration reflectance panel.</p>
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<p>Non-water-stressed baselines used to calculate the CWSI for maize growth stages.</p>
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<p>The variation in the CWSI for maize over different DOYs in 2021.</p>
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<p>Linear relationships between the actual and predicted CWSI for maize crop’s vegetative stages (<b>ai</b>) V5, (<b>bi</b>) V10, and (<b>ci</b>) V14 and (<b>di</b>) reproductive stages (R1), as well as the corresponding variables’ importance (<b>ai</b>–<b>dii</b>).</p>
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<p>The maize CWSI over the smallholder field for vegetative stages (<b>a</b>–<b>c</b>) and reproductive stages (<b>d</b>).</p>
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18 pages, 2844 KiB  
Article
A Regional Approach to Strengthening the Implementation of Sustainable Antimicrobial Stewardship Programs in Five Countries in East, Central, and Southern Africa
by Evelyn Wesangula, Joseph Yamweka Chizimu, Siana Mapunjo, Steward Mudenda, Jeremiah Seni, Collins Mitambo, Kaunda Yamba, Misbah Gashegu, Aquino Nhantumbo, Emiliana Francis, Nyambura Moremi, Henry Athiany and Martin Matu
Antibiotics 2025, 14(3), 266; https://doi.org/10.3390/antibiotics14030266 - 5 Mar 2025
Viewed by 428
Abstract
Background: Antimicrobial stewardship (AMS) programs optimize the use of antimicrobials and reduce antimicrobial resistance (AMR). This study evaluated the implementation of AMS programs in Africa using a harmonized regional approach. Methods: This was an exploratory cross-sectional study across five countries involving 32 hospitals [...] Read more.
Background: Antimicrobial stewardship (AMS) programs optimize the use of antimicrobials and reduce antimicrobial resistance (AMR). This study evaluated the implementation of AMS programs in Africa using a harmonized regional approach. Methods: This was an exploratory cross-sectional study across five countries involving 32 hospitals using an adapted Periodic National and Hospitals Assessment Tool from the World Health Organization (WHO) policy guidance on integrated AMS activities in human health. Results: This study found baseline scores for AMS core elements ranging from 34% to 79% at the baseline which improved to 58% to 92% at the endline. At baseline, Drugs and Therapeutics Committee (DTC) functionality in updating facility-specific medicines and medical devices ranged from 58% to 100%, and this ranged from 79 to 100% at endline. Classifying antibiotics by WHO AWaRe, classification ranged from 33% to 83% at baseline and 64% to 100% at endline. Leadership commitment scores were 47% at baseline and 66% at endline. Education and training scores were 42% and 63% at baseline and endline, respectively. Reporting and feedback scores were 34% at baseline and 58% at endline. Conclusions: Our study showed that understanding context and standardizing regional stewardship approaches enhanced cross-country learning and improved AMS implementation. Although the challenges in Low- and Middle-Income Countries (LMICs) are similar, they vary by country and can be addressed by strengthening AMS regulatory frameworks and surveillance systems. Full article
(This article belongs to the Special Issue Antibiotics Stewardship in Low and Middle-Income Countries)
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<p>Average performance by country regarding WHO AMS core element indicators. DTC = Drug and Therapeutics Committee; ICC = Infection Control Committee; AMS = antimicrobial stewardship. Colors code: Green = high, Yellow = moderate, and Red = Poor scores.</p>
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<p>Availability of updated health facility-specific medicines and medical devices and classification of antibiotics by WHO AWaRe categories.</p>
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<p>The presence of a multidisciplinary AMS committee in the healthcare facilities with clear terms of reference.</p>
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<p>AMS actions across surveyed hospitals.</p>
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<p>Hospitals offering continuous professional development regarding AMS to staff.</p>
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<p>Reporting feedback within healthcare facilities. Green = High Scores Yellow = Moderate Red = Low Score.</p>
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<p>Map indicating surveyed countries (<b>A</b>) and distribution of surveyed hospitals (<b>B</b>).</p>
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<p>Regional approach to establishment of antimicrobial stewardship programs.</p>
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<p>The stepwise approach to establishing an antimicrobial stewardship program at a healthcare facility.</p>
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17 pages, 4317 KiB  
Article
Global Species Diversity Patterns of Polypodiaceae Under Future Climate Changes
by Sibo Huang, Gangmin Zhang and Wenpan Dong
Plants 2025, 14(5), 711; https://doi.org/10.3390/plants14050711 - 26 Feb 2025
Viewed by 166
Abstract
Global change influences species diversity patterns. Compared with seed plants, ferns are more sensitive to temperature and humidity changes and are an ideal group for studying species diversity patterns under future climate changes. Polypodiaceae, which has important ecological and application value, such as [...] Read more.
Global change influences species diversity patterns. Compared with seed plants, ferns are more sensitive to temperature and humidity changes and are an ideal group for studying species diversity patterns under future climate changes. Polypodiaceae, which has important ecological and application value, such as medicinal and ornamental value, is one of the most widely distributed fern families, with rich species diversity. Here, we explore the changes in the species diversity patterns of Polypodiaceae and their influencing factors. We collected more than 300,000 data points on the distribution of Polypodiaceae to map actual current species diversity patterns. We used Maxent to establish current and future potential species distribution models using 20 predictors and determined the current species diversity patterns using the actual current species diversity patterns and current potential species distribution model method. Multiple linear regression and random forest models were used to evaluate the effects of climate factors on the species diversity patterns of Polypodiaceae. We evaluated the effects of future climate changes on the species diversity of Polypodiaceae. The species diversity of Polypodiaceae increased gradually from higher to lower latitudes and the centers were concentrated in the low latitudes of tropical rainforests. There were four distribution centers across the world for Polypodiaceae: central America, central Africa, southern Asia, and northern Oceania. The species diversity of Polypodiaceae was greatly affected by precipitation factors rather than temperature factors. Under future climate change scenarios, species diversity is expected to shift and accumulate toward the equator in mid-to-low latitudes. Species diversity is projected to remain concentrated in low-latitude regions but will tend to aggregate towards higher altitude areas as global temperatures rise, with precipitation during the warmest season identified as the most influential factor. Full article
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<p>Actual current species diversity patterns of Polypodiaceae. (<b>a</b>): Actual current species diversity patterns of Polypodiaceae. (<b>b</b>): Actual current genera diversity patterns of Polypodiaceae. (<b>c</b>): Actual current subfamily diversity patterns of Polypodiaceae. (<b>d</b>): Actual current latitudinal gradient distribution of each subfamily, genus, and species.</p>
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<p>Actual current latitude species diversity patterns of each subfamily. (<b>a</b>): Kernel density estimation of the latitude gradient distribution of each subfamily. (<b>b</b>): Violin plot of the latitudinal gradient distribution of each subfamily.</p>
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<p>Actual current elevation species diversity patterns of each subfamily.</p>
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<p>Current potential species diversity patterns of Polypodiaceae using species distribution models. (<b>a</b>): Species diversity distribution model from 1991 to 2000. (<b>b</b>): Species dimension gradient distribution of Polypodiaceae.</p>
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<p>Environmental factors affecting the species distribution pattern in Polypodiaceae. (<b>a</b>): Partial residual plot of actual current species diversity and environmental factors (bio19: Precipitation of Coldest Quarter; bio18: Precipitation of Warmest Quarter; bio15: Precipitation Seasonality; bio13: Precipitation of Wettest Month; bio9: Mean Temperature of Driest Quarter; bio3: Isothermality; bio2: Mean Diurnal Range; The red dashed line represents the actual observed values, while the green solid line represents the model’s predicted values or the fitted line.). (<b>b</b>): Partial residual plot of species diversity in current potential SDMs and environmental factors from 1991 to 2000 (bio19: Precipitation of Coldest Quarter; bio18: Precipitation of Warmest Quarter; bio17: Precipitation of Driest Quarter; bio3: Isothermality; The red dashed line represents the actual observed values, while the green solid line represents the model’s predicted values or the fitted line.). (<b>c</b>): The important values of climate factors in the actual current species diversity of Polypodiaceae. (<b>d</b>): Important values of climate factors in the current potential SDMs from 1991 to 2000 (***: correlations between environmental factors and species diversity patterns, <span class="html-italic">p</span> &lt; 0.001). (<b>e</b>): Principal component analysis of actual current climate effects of subfamilies. (<b>f</b>): Principal component analysis of climate effects by subfamilies in the species current potential distribution models.</p>
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<p>Future potential species diversity pattern changes in Polypodiaceae under climate change. (<b>a</b>): Potential patterns of species diversity under future low-carbon-dioxide-concentration scenarios (ssp126). (<b>b</b>): Potential patterns of species diversity under future high-carbon-dioxide-concentration scenarios (ssp585). (<b>c</b>): Current potential patterns of species diversity. (<b>d</b>): The change in species diversity of Polypodiaceae over the next 100 years (potential patterns of species diversity under future high-carbon-dioxide-concentration scenarios minus current potential patterns of species diversity).</p>
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23 pages, 4285 KiB  
Article
Computationally Selected Multivalent HIV-1 Subtype C Vaccine Protects Against Heterologous SHIV Challenge
by Dieter Mielke, Marina Tuyishime, Natasha S. Kelkar, Yunfei Wang, Robert Parks, Sampa Santra, Wes Rountree, LaTonya D. Williams, Tiffany Peters, Nathan Eisel, Sheetal Sawant, Lu Zhang, Derrick Goodman, Shalini Jha, Adam Zalaquett, Pratamesh Ramasubramanian, Sherry Stanfield-Oakley, Gary Matyas, Zoltan Beck, Mangala Rao, Julie Ake, Thomas N. Denny, David C. Montefiori, Margaret E. Ackerman, Lawrence Corey, Georgia D. Tomaras, Bette T. Korber, Barton F. Haynes, Xiaoying Shen and Guido Ferrariadd Show full author list remove Hide full author list
Vaccines 2025, 13(3), 231; https://doi.org/10.3390/vaccines13030231 - 24 Feb 2025
Viewed by 284
Abstract
Background: The RV144 trial in Thailand is the only HIV-1 vaccine efficacy trial to date to demonstrate any efficacy. Genetic signatures suggested that antibodies targeting the variable loop 2 (V2) of the HIV-1 envelope played an important protective role. The ALVAC prime [...] Read more.
Background: The RV144 trial in Thailand is the only HIV-1 vaccine efficacy trial to date to demonstrate any efficacy. Genetic signatures suggested that antibodies targeting the variable loop 2 (V2) of the HIV-1 envelope played an important protective role. The ALVAC prime and protein boost follow-up trial in southern Africa (HVTN702) failed to show any efficacy. One hypothesis for this is the greater diversity of subtype C viruses in southern Africa relative to CRF01_AE in Thailand. Methods: Here, we determined whether an ALVAC prime with computationally selected gp120 boost immunogens maximizing coverage of diversity of subtype C viruses in the variable V1 and V2 regions (V1V2) improved the protection of non-human primates (NHPs) from a heterologous subtype C SHIV challenge compared to more traditional regimens. Results: An ALVAC prime with Trivalent subtype C gp120 boosts resulted in statistically significant protection from repeated intrarectal SHIV challenges compared to the control. Evaluation of the immunogenicity of each vaccine regimen at the time of challenge demonstrated that different gp120 combination boosts elicited similar high magnitudes of gp120 and breadth of V1V2-binding antibodies, as well as strong Fc-mediated immune responses. Low-to-no neutralization of the challenge virus was detected. A Cox proportional hazard analysis of five pre-selected immune parameters at the time of challenge identified ADCC against the challenge envelope as a correlate of protection. Systems serology analysis revealed that immune responses elicited by the different vaccine regimens were distinct and identified further correlates of resistance to infection. Conclusions: Computationally designed vaccines with maximized subtype C V1V2 coverage mediated protection of NHPs from a heterologous Tier-2 subtype C SHIV challenge. Full article
(This article belongs to the Special Issue Advances in HIV Vaccine Development)
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<p><b>ALVAC vCP2438 prime with a Trivalent gp120 boost protects NHPs from intrarectal challenge with 66% efficacy.</b> (<b>A</b>) Forty-four animals were divided into five groups and given one of four vaccine formulations or phosphate-buffered saline as a control. (<b>B</b>) All animals were administered two doses of ALVAC vCP2438 (ALVAC-CO four weeks apart and then animals received five doses of ALVAC-C with a Pentavalent, P5 Bivalent, RV144 Bivalent, or Trivalent protein boost in ALFQ adjuvant five times). All animals were then subjected to five weekly low-dose intrarectal challenges with SHIV-CH505.375H.dCT. (<b>C</b>–<b>F</b>) Kaplan–Meier plot showing the percentage of uninfected animals after five weekly challenges. Survival was significantly different among all vaccine groups compared to the control (<span class="html-italic">p</span> = 0.0225; one-tailed KM log-rank test). (<b>G</b>) Viral loads were tested weekly in all groups. Lines are the group means for animals that became infected and bars are the 95% confident intervals.</p>
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<p><b>Different gp120 combination boosts elicit similar magnitudes of gp120 and breadth of V1V2-binding antibodies.</b> (<b>A</b>) Binding antibodies against the vaccine and challenge gp120s were measured. (<b>B</b>) Fourteen V1V2 antigens were used to calculate the individual and the mean area under the magnitude breadth curve (MB-AUC) for each vaccine arm. Dotted lines are individual curves by NHP and the unbroken thicker lines represent the mean AUC-MB of the respective group.</p>
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<p><b>Vaccine arms elicit similarly high functional antibody responses.</b> Vaccine-elicited (<b>A</b>) ADCC responses against cells coated with each of the five vaccines and challenge gp120, (<b>B</b>) ADCP of the challenge protein, (<b>C</b>) neutralization of two Tier-1 pseudoviruses, and (<b>D</b>) blocking of three proteins (CD4, CH58 mAb, and CH01 mAb) binding to the CRF01_AE protein A244D11gp120.</p>
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<p><b>Immune feature profiles robustly distinguish different arms of vaccination.</b> (<b>A</b>) Principal component (PC) biplot. Animals are represented as dots, with color indicating the vaccine group. (<b>B</b>) Comparison of Matthew’s Correlation Coefficient (MCC) as a measure of classification accuracy of vaccine group using random forest approach in 100 repeats of 5-fold cross-validation with actual and permuted group labels. Dotted orange line indicates the mean MCC of model with actual labels while dotted yellow line indicates mean MCC of model with permuted labels. Dotted black line indicates MCC = 0. Models trained on actual data outperform models trained on permuted data significantly (Kolmogorov–Smirnov test, inset) and substantially (Cliff’s delta, large effect size). (<b>C</b>) Confusion matrix depicting the percentage of animals classified into different groups across 100 repeats and 5-fold cross-validation using random forest approach. (<b>D</b>) Average feature importance of the top 25 features that contributed the most in building the classifier across 100 repeats. Error bars represent standard deviation across repeats.</p>
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<p><b>Immune feature profiles robustly predict protection.</b> (<b>A</b>) Accuracy (Concordance Index) of risk predictions using actual versus permuted challenge outcome data across modeling replicates. Dotted orange and yellow lines indicate distribution means for actual and permuted dataset. Dotted black line indicates performance expected at random (0.0). Statistical significance was defined by Kolmogorov–Smirnov test (inset) and effect size by Cliff’s delta (color). (<b>B</b>) Scatterplot depicting the predicted relative risk of infection for each animal versus the challenge at which infection was observed for the representative model. The thick dotted line depicts the trendline. (<b>C</b>) Box plot showing the predicted relative risk of infection for animals in susceptible and resistant groups. Statistical significance was determined by Wilcoxon–Mann–Whitney test. (<b>D</b>) Kaplan–Meier graphs of observed (dotted line) and predicted risk group model (Cox PH, solid line) challenge outcomes learned from immune profiles for susceptible (blue, ≤4 challenges) and resistant (red, ≥5 challenges) groups. Significance between predicted and actual curves was defined by two-sided log-rank test. (<b>E</b>) Heatmap and feature coefficient plot of the filtered set of features (columns) and their contribution to the ‘final’ model (coefficients in bars; top panel). (Cox PH <span class="html-italic">p</span>-values: * <span class="html-italic">p</span> &lt; 0.05; - <span class="html-italic">p</span> ≥ 0.05). Individual animals (rows) are ordered by time to infection and colored by vaccine group, relative susceptibility group, and time to infection (challenges). Features are centered and scaled with high responses indicated in red and low responses in blue.</p>
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29 pages, 28035 KiB  
Article
A New Earth Crustal Velocity Field Estimation from ROA cGNSS Station Networks in the South of Spain and North Africa
by David Rodríguez Collantes, Abel Blanco Hernández, María Clara de Lacy Pérez de los Cobos, Jesús Galindo-Zaldivar, Antonio J. Gil, Manuel Ángel Sánchez Piedra, Mohamed Mastere and Ibrahim Ouchen
Remote Sens. 2025, 17(4), 704; https://doi.org/10.3390/rs17040704 - 19 Feb 2025
Viewed by 236
Abstract
The convergence zone of the Eurasian (EURA) and North Africa plate (NUBIA) is primarily marked by the activity between the Betics in south of Spain and the Rif and Atlas in Morocco. This area, where the diffuse tectonics between these plates are currently [...] Read more.
The convergence zone of the Eurasian (EURA) and North Africa plate (NUBIA) is primarily marked by the activity between the Betics in south of Spain and the Rif and Atlas in Morocco. This area, where the diffuse tectonics between these plates are currently converging in a NW-SE direction, presents several continuous fault zones, such as the Betic–Alboran–Rif shear zone. The Royal Institute and Observatory of the Spanish Navy (ROA) currently operates geodetic stations in various parts of North Africa, some in particularly interesting locations, such as the Alhucemas (ALHU) rock, and also in more stable areas within the Nubian plate, such as Tiouine (TIOU). For the first time, the displacement velocities of the ROA CGNSS stations have been estimated to provide additional geodynamic information in an area with few stations. The obtained velocities have been compared with other recent studies in this field that included data older than 10 years or episodic campaigns without continuous stations. PRIDE (3.1.2) and SARI (February, 2025) software were used for processing, and the velocities were obtained by the ROA for international stations (RABT, SFER, MALA, HUEL, LAGO, TARI, and ALME). These initial results confirm the convergence trend between Eurasia and Nubia of approximately 4 mm/year in the NW-SE direction. It is also evident that there is independent behavior among the Atlas stations and those in the Moroccan Meseta compared to those located in the Rif mountain range, which could indicate the separation of smaller tectonic domains within the continental plate convergence zone. Along the Rif coast in Al Hoceima Bay, the faults are being approached; additionally, there is a slight clockwise displacement towards Melilla, which has also been demonstrated by stations in the Middle Atlas, such as TAZA. As for the stations in the Strait of Gibraltar, they exhibit a similar behavior until reaching the diffuse zone of the Guadalquivir basin where the diffuse convergence zone may exist. This may explain why stations to the north of the basin, such as LIJA or HUEL, change their behavior compared to nearby ones like SFER in the south. Furthermore, Alboran seems to follow the same displacement in direction and velocity as the other stations in North Africa and southern Spain. Full article
(This article belongs to the Section Earth Observation Data)
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<p>Topographic/bathymetric map [<a href="#B12-remotesensing-17-00704" class="html-bibr">12</a>] of the western Mediterranean (WM). In black, the possible diffuse zone of the EURA-NUBIA convergence between North Africa and the south of the Iberian Peninsula is shown according to this study. Three possible hypotheses of the delimitation of this zone are drawn according to [<a href="#B13-remotesensing-17-00704" class="html-bibr">13</a>] in red, [<a href="#B14-remotesensing-17-00704" class="html-bibr">14</a>] in yellow, and [<a href="#B15-remotesensing-17-00704" class="html-bibr">15</a>] in blue.</p>
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<p>Map of stations used in the research. In blue, the old Topo-Iberia Project Stations corresponding to the ROA; in red, the IGS/EUREF stations; and, in green, the ROA stations (including stations in collaboration with ISRABAT).</p>
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<p>Some of the continuous stations belonging to the ROA. (<b>a</b>) CEUD (Desnarigado Castle in Ceuta), (<b>b</b>) CHAF (Isabel II Island Lighthouse in the Chafarinas Archipelago), (<b>c</b>) ROTA (Rota Naval Base Dock), and (<b>d</b>) PVLZ (Vélez de la Gomera Rock Lighthouse).</p>
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<p>Overview of the confluence zone of North Africa and the southern Iberian Peninsula. The velocities with respect to EURA (scale 5 mm/year) of continuous stations used for the study are plotted.</p>
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<p>In the image on the (<b>left</b>), the historical earthquake catalog from the IGN [<a href="#B50-remotesensing-17-00704" class="html-bibr">50</a>] is displayed; on the (<b>right</b>), strain/rate tensors are introduced on a scale of 20 nanostrains per year, with inward arrows indicating compression, while outward arrows represent dilation at the point depicted.</p>
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<p>In the image of the (<b>left</b>), the rotation represents the rate at which a portion of the Earth’s crust rotates in the horizontal plane in milliradians. It indicates relative rotation due to local tectonic activity. In the image of the (<b>right</b>), the shear refers to the maximum deformation occurring when one part of the terrain shifts laterally relative to another, causing horizontal strain. This is critical in areas with strike-slip faults.</p>
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<p>Overview of the confluence zone of North Africa and the southern Iberian Peninsula. The velocities with respect to EURA (scale 5 mm/year) of continuous and episodic stations used for the study are plotted. Stations included in the study are plotted in black, red [<a href="#B4-remotesensing-17-00704" class="html-bibr">4</a>], and green [<a href="#B10-remotesensing-17-00704" class="html-bibr">10</a>,<a href="#B18-remotesensing-17-00704" class="html-bibr">18</a>] triangles.</p>
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<p>On the (<b>left</b>), position time series of the ALBO-IGN station (North and East components in meters) in IGb2020, and on the (<b>right</b>), residuals of these data.</p>
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<p>On the (<b>left</b>), position time series of the ALBO-ROA station (North and East components in meters) in IGb2020, and on the (<b>right</b>), residuals of these data.</p>
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<p>On the (<b>left</b>), position time series of the ALHU station (North and East components in meters) in IGb2020, and on the (<b>right</b>), residuals of these data.</p>
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<p>On the (<b>left</b>), position time series of the ALJI station (North and East components in meters) in IGb2020, and on the (<b>right</b>), residuals of these data.</p>
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<p>On the (<b>left</b>), position time series of the ALME station (North and East components in meters) in IGb2020, and on the (<b>right</b>), residuals of these data.</p>
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<p>On the (<b>left</b>), position time series of the AVER station (North and East components in meters) in IGb2020, and on the (<b>right</b>), residuals of these data.</p>
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<p>On the (<b>left</b>), position time series of the BENI station (North and East components in meters) in IGb2020, and on the (<b>right</b>), residuals of these data.</p>
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<p>On the (<b>left</b>), position time series of the CEUD station (North and East components in meters) in IGb2020, and on the (<b>right</b>), residuals of these data.</p>
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<p>On the (<b>left</b>), position time series of the CHAF station (North and East components in meters) in IGb2020, and on the (<b>right</b>), residuals of these data.</p>
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<p>On the (<b>left</b>), position time series of the ERRA station (North and East components in meters) in IGb2020, and on the (<b>right</b>), residuals of these data.</p>
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<p>On the (<b>left</b>), position time series of the HUEL station (North and East components in meters) in IGb2020, and on the (<b>right</b>), residuals of these data.</p>
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<p>On the (<b>left</b>), position time series of the IFRN station (North and East components in meters) in IGb2020, and on the (<b>right</b>), residuals of these data.</p>
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<p>On the (<b>left</b>), position time series of the LAGO station (North and East components in meters) in IGb2020, and on the (<b>right</b>), residuals of these data.</p>
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<p>On the (<b>left</b>), position time series of the LIJA station (North and East components in meters) in IGb2020, and on the (<b>right</b>), residuals of these data.</p>
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<p>On the (<b>left</b>), position time series of the LOJA station (North and East components in meters) in IGb2020, and on the (<b>right</b>), residuals of these data.</p>
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<p>On the (<b>left</b>), position time series of the MALA station (North and East components in meters) in IGb2020, and on the (<b>right</b>), residuals of these data.</p>
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<p>On the (<b>left</b>), position time series of the MELI-IGS station (North and East components in meters) in IGb2020, and on the (<b>right</b>), residuals of these data.</p>
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<p>On the (<b>left</b>), position time series of the MELI-ROA station (North and East components in meters) in IGb2020, and on the (<b>right</b>), residuals of these data.</p>
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<p>On the (<b>left</b>), position time series of the PVLZ station (North and East components in meters) in IGb2020, and on the (<b>right</b>), residuals of these data.</p>
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<p>On the (<b>left</b>), position time series of the RABT station (North and East components in meters) in IGb2020, and on the (<b>right</b>), residuals of these data.</p>
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<p>On the (<b>left</b>), position time series of the SFER-IGS station (North and East components in meters) in IGb2020, and on the (<b>right</b>), residuals of these data.</p>
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<p>On the (<b>left</b>), position time series of the SFER-ROA station (North and East components in meters) in IGb2020, and on the (<b>right</b>), residuals of these data.</p>
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<p>On the (<b>left</b>), position time series of the TIOU station (North and East components in meters) in IGb2020, and on the (<b>right</b>), residuals of these data.</p>
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14 pages, 1607 KiB  
Article
Global NDVI-LST Correlation: Temporal and Spatial Patterns from 2000 to 2024
by Ehsan Rahimi, Pinliang Dong and Chuleui Jung
Environments 2025, 12(2), 67; https://doi.org/10.3390/environments12020067 - 17 Feb 2025
Viewed by 291
Abstract
While numerous studies have investigated the NDVI-LST relationship at local or regional scales, existing global analyses are outdated and fail to incorporate recent environmental changes driven by climate change and human activity. This study aims to address this gap by conducting an extensive [...] Read more.
While numerous studies have investigated the NDVI-LST relationship at local or regional scales, existing global analyses are outdated and fail to incorporate recent environmental changes driven by climate change and human activity. This study aims to address this gap by conducting an extensive global analysis of NDVI-LST correlations from 2000 to 2024, utilizing multi-source satellite data to assess latitudinal and ecosystem-specific variability. The MODIS dataset, which provides global daily LST data at a 1 km resolution from 2000 to 2024, was used alongside MODIS-derived NDVI data, which offers global vegetation indices at a 1 km resolution and 16-day temporal intervals. A correlation analysis was performed by extracting NDVI and LST values for each raster cell. The analysis revealed significant negative correlations in regions such as the western United States, Brazil, southern Africa, and northern Australia, where increased temperatures suppress vegetation activity. A total of 38,281,647 pixels, or 20% of the global map, exhibited statistically significant correlations, with 80.4% showing negative correlations, indicating a reduction in vegetation activity as temperatures rise. The latitudinal distribution of significant correlations revealed two prominent peaks: one in the tropical and subtropical regions of the Southern Hemisphere and another in the temperate zones of the Northern Hemisphere. This study uncovers notable spatial and latitudinal patterns in the LST-NDVI relationship, with most regions exhibiting negative correlations, underscoring the cooling effects of vegetation. These findings emphasize the crucial role of vegetation in regulating surface temperatures, providing valuable insights into ecosystem health, and informing conservation strategies in response to climate change. Full article
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<p>Correlation map of LST-NDVI in six classes (<b>a</b>), and significant and non-significant pixels (<b>b</b>).</p>
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<p>Latitudinal distribution of significant correlations (<b>a</b>), and proportions of positive and negative significant correlations (<b>b</b>).</p>
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36 pages, 35581 KiB  
Article
Tropospheric and Surface Measurements of Combustion Tracers During the 2021 Mediterranean Wildfire Crisis: Insights from the WMO/GAW Site of Lamezia Terme in Calabria, Southern Italy
by Francesco D’Amico, Giorgia De Benedetto, Luana Malacaria, Salvatore Sinopoli, Claudia Roberta Calidonna, Daniel Gullì, Ivano Ammoscato and Teresa Lo Feudo
Gases 2025, 5(1), 5; https://doi.org/10.3390/gases5010005 - 13 Feb 2025
Viewed by 647
Abstract
The central Mediterranean and nearby regions were affected by extreme wildfires during the summer of 2021. During the crisis, Türkiye, Greece, Italy, and other countries faced numerous challenges ranging from the near-complete destruction of landscapes to human losses. The crisis also resulted in [...] Read more.
The central Mediterranean and nearby regions were affected by extreme wildfires during the summer of 2021. During the crisis, Türkiye, Greece, Italy, and other countries faced numerous challenges ranging from the near-complete destruction of landscapes to human losses. The crisis also resulted in reduced air quality levels due to increased emissions of pollutants linked to biomass-burning processes. In the Mediterranean Basin, observation sites perform continuous measurements of chemical and meteorological parameters meant to track and evaluate greenhouse gas and pollutant emissions in the area. In the case of wildfires, CO (carbon monoxide) and formaldehyde (HCHO) are effective tracers of this phenomenon, and the integration of satellite data on tropospheric column densities with surface measurements can provide additional insights on the transport of air masses originating from wildfires. At the Lamezia Terme (code: LMT) World Meteorological Organization–Global Atmosphere Watch (WMO/GAW) observation site in Calabria, Southern Italy, a new multiparameter approach combining different methodologies has been used to further evaluate the effects of the 2021 wildfires on atmospheric measurements. A previous study focused on wildfires that affected the Aspromonte Massif area in Calabria; in this study, the integration of surface data, tropospheric columns, and backtrajectories has allowed pinpointing additional contributions from other southern Italian regions, as well as North Africa and Greece. CO data were available for both surface and column assessments, while continuous HCHO data at the site were only available through satellite. In order to correlate the observed peaks with wildfires, surface BC (black carbon) was also analyzed. The analysis, which focused on July and August 2021, has allowed the definition of three case studies, each highlighting distinct sources of emission in the Mediterranean; the case studies were further evaluated using HYSPLIT backtrajectories and CAMS products. The LMT site and its peculiar local wind patterns have been demonstrated to play a significant role in the detection of wildfire outputs in the context of the Mediterranean Basin. The findings of this study further stress the importance of assessing the effects of wildfire emissions over wide areas. Full article
(This article belongs to the Special Issue Air Quality: Monitoring and Assessment)
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<p>(<b>A</b>) LMT’s location in the central Mediterranean Basin. (<b>B</b>) Modified EMODnet [<a href="#B80-gases-05-00005" class="html-bibr">80</a>] map showing LMT’s coordinates and location in the southern Italian region of Calabria.</p>
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<p>Hourly averages of surface CO (<b>A</b>) and eBC (<b>B</b>) at LMT between July and August 2021. The cyan line shows a 36-h moving average.</p>
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<p>Daily averaged tropospheric total column densities of CO and HCHO (<b>A</b>); surface concentrations of CO (<b>B</b>) and eBC (<b>C</b>) at Lamezia Terme station, both differentiated by wind corridor.</p>
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<p>Daily cycles of surface CO (<b>A</b>) and eBC (<b>B</b>), differentiated by wind sector.</p>
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<p>Daily cycles of surface CO (<b>A</b>) and eBC (<b>B</b>), differentiated by wind sector.</p>
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<p>Direct comparison between daily satellite total column densities of CO and HCHO and the hourly concentrations of surface CO (blue diamonds) observed at the time of satellite passage, 14:00 UTC.</p>
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<p>FIRMS data on fires affecting the central Mediterranean area between 8 July and 14 July 2021. Light colors indicate fires lasting for 5+ days, thus contributing to prolonged emissions. Italian regions are marked in italics, while other countries are marked in bold. Malta, Spain, and France, as well as several Italian regions, have been omitted to improve visualization.</p>
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<p>CO and HCHO vertical column data referring to 10–12 July, which is the first case study assessed in this research (CS1). CO column data on 12 July and HCHO column data on 9 and 11 July were not available.</p>
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<p>CO and HCHO vertical column data referring to 10–12 July, which is the first case study assessed in this research (CS1). CO column data on 12 July and HCHO column data on 9 and 11 July were not available.</p>
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<p>HYSPLIT backtrajectory computed from LMT’s coordinates, showing well-defined paths leading to the Italian region of Sardinia.</p>
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<p>CAMS products showing the diffusion of CO on 10 July (CS1).</p>
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<p>CAMS products showing the diffusion of CO on 10 July (CS1).</p>
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<p>FIRMS data on fires affecting the central Mediterranean area between 28 July and 3 August 2021. Light colors indicate fires lasting for 5+ days that contribute to prolonged emissions. Country names are in bold. Malta, Spain, and France have been omitted to improve visualization.</p>
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<p>Tropospheric columns of CO and HCHO referred to CS2 (specifically, 29–31 July), showing a northern African source of the peaks observed at LMT.</p>
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<p>Tropospheric columns of CO and HCHO referred to CS2 (specifically, 29–31 July), showing a northern African source of the peaks observed at LMT.</p>
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<p>Tropospheric columns of CO and HCHO referred to CS2 (specifically, 29–31 July), showing a northern African source of the peaks observed at LMT.</p>
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<p>HYSPLIT backtrajectory of CS2 indicating Algeria as a probable source.</p>
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<p>CAMS products showing the diffusion of CO from 29 to 30 July (CS2).</p>
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<p>CAMS products showing the diffusion of CO from 29 to 30 July (CS2).</p>
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<p>FIRMS map showing areas affected by wildfires between 31 July and 6 August, with lighter colors indicating wildfires lasting for 5+ days. Balkan countries other than Greece and Cyprus have been omitted from labeling to improve visualization.</p>
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<p>Vertical columns of the case study 3 (CS3), referring to the period between 2 August and 4 August. Column density data show surges in emissions from Greece.</p>
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<p>Vertical columns of the case study 3 (CS3), referring to the period between 2 August and 4 August. Column density data show surges in emissions from Greece.</p>
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<p>Vertical columns of the case study 3 (CS3), referring to the period between 2 August and 4 August. Column density data show surges in emissions from Greece.</p>
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<p>HYSPLIT computed backtrajectories, set at LMT’s coordinates, for CS3.</p>
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<p>CAMS products showing the diffusion of CO on 4 August (CS3).</p>
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<p>CAMS products showing the diffusion of CO on 4 August (CS3).</p>
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19 pages, 3390 KiB  
Article
Comparison of Major Compounds in Essential Oils Steam Distilled from Fresh Plant Material of South African Hop Varieties
by Olga de Smidt, Wanda du Plessis, Puleng Rose Zacharia and Idah Tichaidza Manduna
Life 2025, 15(2), 282; https://doi.org/10.3390/life15020282 - 12 Feb 2025
Viewed by 553
Abstract
Apart from the importance of bittering acids in the brewing sector, hops also produce terpene-rich essential oils, recognised for their therapeutic benefits. Agri-processing practices of this crop in South Africa produce tonnes of discarded (waste) plant material that could still contain sufficient bioactive [...] Read more.
Apart from the importance of bittering acids in the brewing sector, hops also produce terpene-rich essential oils, recognised for their therapeutic benefits. Agri-processing practices of this crop in South Africa produce tonnes of discarded (waste) plant material that could still contain sufficient bioactive compounds to justify upcycling. This research aimed to determine the chemical composition of steam distilled essential oils from fresh hop plant material destined for disposal. Essential oils from eight hop varieties unique to South Africa were produced on industrial scale using steam distillation. Chemical profiling was performed using GC-FID and MS. A total of 208 compounds were identified and oil consisted largely of terpenes (89.04 ± 1.89%) as well as aliphatic esters and -ketones (6.1 ± 1.15%). Myrcene (27.8–48.15%) was the most abundant monoterpene and α-humulene (19.52–24.98%), β-caryophyllene (8.47–13.73%) and β-farnesene (2.08–7.57%) constituted the majority of the sesquiterpenes fraction. Experimental variety XJA2/436 had the highest myrcene fraction (48.15%) and its chemical composition was markedly different from the other varieties. The major compounds in African Queen hop oil were methyl (4Z) decanoate (0.74%), 2-tridecanone (0.77%) and β-farnesene (7.57%). Southern Dawn hop oil contained the highest fractions of 2-undecanone (1.21%) and α-humulene (24.89%) and Southern Passion hop oil contained the highest β-caryophyllene fraction (13.73%). These findings established that fresh hop vegetative biomass shows promise to be transformed into a valuable resource. Full article
(This article belongs to the Special Issue Bioactive Natural Compounds: Therapeutic Insights and Applications)
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<p>Chemical composition of each South African hop variety for aliphatic compounds (esters, ketones, alcohols, aldehydes, alkanes), Terpenes (di-, mono-, sesqui-) as well as their esters, ethers, alcohols, aldehydes). Compounds with fractions &gt;1% in at least one hop variety were colour-coded in the figure legend for easy reference.</p>
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<p>Aliphatic compound distribution in 8 hop oils. Inner to outer rings represent African Queen, XJA2/436, Southern Sublime, Southern Aroma, Southern Dawn, Southern Passion, Southern Promise and Southern Star. (<b>A</b>) represents all the aliphatic compounds and serves to demonstrate their diversity in the hop oils. (<b>B</b>) Aliphatic compounds grouped according to class. The percentages indicated were calculated fractions of the total aliphatic compounds only. (<b>C</b>) represents the ester and (<b>D</b>) ketone components of the oils. 2-Methylbutyl isobutyrate and methyl (4Z)-decenoate were the two most abundant esters and 2-undecanone and 2-tridecanone the two most abundant ketones recorded.</p>
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<p>Terpene compound distribution in 8 hop oils. Inner to outer rings represent African Queen, XJA2/436, Southern Sublime, Southern Aroma, Southern Dawn, Southern Passion, Southern Promise and Southern Star. (<b>A</b>) represents all the terpene compounds and serves to demonstrate their diversity in the hop oils. (<b>B</b>) Terpene compounds grouped according to class. Percentages indicated in (<b>C</b>,<b>D</b>) were calculated fractions of the total terpene compounds only. (<b>C</b>) represents the monoterpenes and (<b>D</b>) sesquiterpene components of the oils. Myrcene is the most abundant monoterpene present. <span class="html-italic">α</span>-humulene, <span class="html-italic">β</span>-caryophyllene, and (E) β-farnesene were the sesquiterpenes present in the highest fractions in all 8 oil extracts.</p>
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<p>(<b>A</b>) Scree plot depicting the eigenvalues of the principal components, where the x-axis represents the component number. The blue line on the y-axis shows the corresponding eigenvalue and bars indicate the % variance explained. (<b>B</b>) Principal components analysis (PCA) performed on the major chemical classes for the eight South African hop varieties African Queen, XJA2/436, Southern Sublime, Southern Aroma, Southern Dawn, Southern Passion, Southern Promise and Southern Star.</p>
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39 pages, 14057 KiB  
Article
Rock Art and Hunter–Gatherer Landscapes: Iconography, Cosmology and Topography in Southern Africa
by Geoffrey Blundell and Ghilraen Laue
Arts 2025, 14(1), 15; https://doi.org/10.3390/arts14010015 - 8 Feb 2025
Viewed by 1007
Abstract
Landscape studies of hunter–gatherer rock art often suffer from logical flaws. Some of these failings stem from the founding question that researchers ask: “Why do some places have images while others do not?” This question is misleading and not particularly helpful in some—but [...] Read more.
Landscape studies of hunter–gatherer rock art often suffer from logical flaws. Some of these failings stem from the founding question that researchers ask: “Why do some places have images while others do not?” This question is misleading and not particularly helpful in some—but not all—contexts where there is no direct ethnographic evidence to provide an answer. Instead, we suggest that a better question from which to begin is: “How are rock art images related to landscape?”. To answer this question, we examine the relationship between iconography, cosmology and topography in two areas of southern African San rock painting. We argue that cosmology guided iconography and that the imagery, in turn, manipulated topography into landscape for the San. In this view, we do not need to rely on cognitive templates that invest topography a priori with significance that then determines the choice of locale for art. Instead, landscape for the San was socially and symbolically constructed through the placement of imagery. Full article
(This article belongs to the Special Issue Advances in Rock Art Studies)
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<p>Map of southern Africa indicating places mentioned in the text. The area indicated as 1 is the Cape Fold Belt; 2 is the Drakensberg Mountains; 3 is the Matobo Hills. Image by the authors.</p>
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<p>Formlings from Zimbabwe. A mystery for many years, these images have now been shown by Siyakha Mguni to illustrate termitaria, particularly the inside of termite nests. They are thus a cross-section of a nest, and they are almost unique in San rock painting, where the dominant mode of representation is from an external, lateral perspective. <b>Top Left</b>: ZIM-BMT1-81. <b>Top Right</b>: ZIM-GUL1-20. <b>Bottom Left</b>: ZIM-NAK1-5H. All three images, copyright Rock Art Research Institute, South Africa, <a href="http://www.sarada.co.za" target="_blank">www.sarada.co.za</a>, accessed 28 August 2024. <b>Bottom Right</b>: Harald Pager’s black and white copy of a formling in a context illustrating human interaction with what appear to be insects (after <a href="#B142-arts-14-00015" class="html-bibr">Pager 1976, p. 67</a>).</p>
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<p>San rock paintings of eland in the Drakensberg Mountains. Eland are depicted most in lateral perspective (<b>Top Left</b>, <b>Bottom Right</b>) but are also illustrated head-on, from behind (<b>Top Right</b>), and overhead (<b>Bottom Left</b>). All images by the authors.</p>
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<p>Photograph and corresponding drawings (below) of two swift-tailed figures from the Cape Fold Belt. Images by authors.</p>
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<p>Maqoqa Dyantyi, the daughter of Lindiso, the last-known San rock painter in the Drakensberg Mountains, illustrating how San people turned to the rock art images and touched them to harness the supernatural energy residing in the imagery. Image courtesy of David Lewis-Williams.</p>
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<p>A view of the granite domes of the Matobo Hills. Large rock formations are sometimes described as ‘whalebacks’ because they resemble the mammal beaching the ocean surface. For San rock artists painting there, some of the hills were probably akin to termite mounds. Image by the authors.</p>
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<p>Examples of semi-spherical rock shelters in the Matobo Hills (<b>Top Left</b>, <b>Top Right</b>, <b>Bottom Left</b>) and complete spheres embedded inside a hill (<b>Middle Right</b>, <b>Bottom Right</b>). San painted in all these shelters, including images of formlings. By painting the inside components of a termite nest, artists constructed these shelters as a landscape of metaphoric termite mounds. <b>Top Right</b>: ZIM-LAA2-1. <b>Top Left</b>: ZIM-GUU1-87. <b>Bottom Left</b>: ZIM-GUU1-1. <b>Middle Right</b>: ZIM-MAM1-4. <b>Bottom Right</b>: ZIM-MAM1-2. All four images, copyright Rock Art Research Institute, South Africa, <a href="http://www.sarada.co.za" target="_blank">www.sarada.co.za</a>, accessed 28 August 2024.</p>
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<p>Even with large images, the rock art of the Matobo Hills requires a viewer to get close up to see the details and to separate out the multiple layers of superimpositioning. ZIM-NAK1-8H. Copyright Rock Art Research Institute, South Africa, <a href="http://www.sarada.co.za" target="_blank">www.sarada.co.za</a>, accessed 28 August 2024.</p>
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<p>The Cape Fold Belt Mountains with compressed and folded stratigraphic layers and craggy rock fascia. The shelters in these mountains are sometimes like the mud nests of swallows that build their domiciles in the rock shelters. These mud nests are sometimes inhabited by swifts. Images by the authors.</p>
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<p>Examples of painted rock shelters in the Cape Fold Belt. The quartzitic rock surfaces are broken and gnarly in comparison to the smooth granite surfaces of the Matobo Hills. The broken surfaces generally allow only for smaller images. All images by the authors.</p>
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<p>Sketch of swift people in relation to a natural crack in the rock surface. The artist orientated the images in relation to the crack to create the impression that the figures are flying out of the crack. Drawing by F.E. De Villiers, courtesy of Jeremy Hollmann.</p>
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<p>Swift-person painted at the entrance of a rock shelter, creating the impression that it is flying into the shelter. Drawing by F.F. De Villiers, courtesy of Jeremy Hollmann.</p>
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<p>Painted shelters in the Cape Folded Belt. As with the semi-domed and domed shelters in the Matobo Hills that are readily analogous to termite mounds, some shelters in the Cape Fold Belt are similarly comparable to bird (swallow) nests. The artists manipulated the similarities through the choice and placement of swift-people images and constructed a landscape of metaphoric bird nests. All images by the authors.</p>
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<p>A sketch of a painted shelter in the Cape Fold Belt. The narrow passageway both mimics swallow nests found in the actual shelters and is a nesting site for swifts that settle on rock surfaces within the shelter. Drawing by F.E. De Villiers, courtesy of Jeremy Hollmann.</p>
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15 pages, 2494 KiB  
Article
High-Throughput Field Screening of Cassava Brown Streak Disease Resistance for Efficient and Cost-Saving Breeding Selection
by Mouritala Sikirou, Najimu Adetoro, Samar Sheat, Eric Musungayi, Romain Mungangan, Miafuntila Pierre, Kayode Fowobaje, Ibnou Dieng, Zoumana Bamba, Ismail Rabbi, Hapson Mushoriwa and Stephan Winter
Agronomy 2025, 15(2), 425; https://doi.org/10.3390/agronomy15020425 - 8 Feb 2025
Viewed by 411
Abstract
Cassava brown streak disease (CBSD) remains the most severe threat to cassava production in the Great Lakes region and Southern Africa. Screening for virus resistance by subjecting cassava to high virus pressure in the epidemic zone (hotspots) is a common but lengthy process [...] Read more.
Cassava brown streak disease (CBSD) remains the most severe threat to cassava production in the Great Lakes region and Southern Africa. Screening for virus resistance by subjecting cassava to high virus pressure in the epidemic zone (hotspots) is a common but lengthy process because of unpredictable and erratic virus infections requiring multiple seasons for disease evaluation. This study investigated the feasibility of graft-infections to provide a highly controlled infection process that is robust and reproducible to select and eliminate susceptible cassava at the early stages and to predict the resistance of adapted and economically valuable varieties. To achieve this, a collection of cassava germplasm from the Democratic Republic of Congo and a different set of breeding trials comprising two seed nurseries and one preliminary yield trial were established. The cassava varieties OBAMA and NAROCASS 1 infected with CBSD were planted one month after establishment of the main trials in a 50 m2 plot to serve as the source of the infection and to provide scions to graft approximately 1 ha. Grafted plants were inspected for virus symptoms and additionally tested by RT-qPCR for sensitive detection of the viruses. The incidence and severity of CBSD and cassava mosaic disease (CMD) symptoms were scored at different stages of plant growth and fresh root yield determined at harvesting. The results from the field experiments proved that graft-infection with infected plants showed rapid symptom development in susceptible cassava plants allowing instant exclusion of those lines from the next breeding cycle. High heritability, with values ranging from 0.63 to 0.97, was further recorded for leaf and root symptoms, respectively. Indeed, only a few cassava progenies were selected while clones DSC260 and two species of M. glaziovii (Glaziovii20210005 and Glaziovii20210006) showed resistance to CBSD. Taken together, grafting scions from infected cassava is a highly efficient and cost-effective method to infect cassava with CBSD even under rugged field conditions. It replaces an erratic infection process with a controlled method to ensure precise screening and selection for virus resistance. The clones identified as resistant could serve as elite donors for introgression, facilitating the transfer of resistance to CBSD. Full article
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<p>Introducing virus infection: (<b>a</b>) by side-grafting of scions from infected source plants to healthy cassava rootstocks; (<b>b</b>) observing development of symptoms on newly developing leaves of sprouting buds 3 weeks after grafting.</p>
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<p>Expression of cassava brown streak disease (CBSD) symptoms: leaves (<b>a</b>) and roots (<b>b</b>) of a susceptible variety.</p>
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<p>CBSD symptom evaluation in the root in the seed nursery after grafting CIAT population (G: grafted plants and NG: non-grafted plants).</p>
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<p>CBSD symptoms evaluation in the root in the Uganda SN after grafting at harvest (G: grafted plants and NG non-grafted plants).</p>
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<p>Correlation between CMD, CBSD, and yield in the DRC germplasm collection (<b>above</b>) and PYT Nigeria (<b>below</b>). Values in the figure represent the correlation coefficient.</p>
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51 pages, 948 KiB  
Review
Pharmacological Significance, Medicinal Use, and Toxicity of Extracted and Isolated Compounds from Euphorbia Species Found in Southern Africa: A Review
by Ipeleng Kopano Rosinah Kgosiemang, Relebohile Lefojane, Ayodeji Mathias Adegoke, Oludare Ogunyemi, Samson Sitheni Mashele and Mamello Patience Sekhoacha
Plants 2025, 14(3), 469; https://doi.org/10.3390/plants14030469 - 5 Feb 2025
Viewed by 565
Abstract
This study documents the Euphorbiaceae family of plants in Southern Africa, with a focus on their traditional medicinal applications, pharmacological properties, toxicity, and active secondary metabolites. A review of the literature from scientific journals, books, dissertations, and conference papers spanning from 1962 to [...] Read more.
This study documents the Euphorbiaceae family of plants in Southern Africa, with a focus on their traditional medicinal applications, pharmacological properties, toxicity, and active secondary metabolites. A review of the literature from scientific journals, books, dissertations, and conference papers spanning from 1962 to 2023 was conducted for 15 Euphorbia species. Recent findings indicate that specific compounds found in Euphorbia plants exhibit significant biological and pharmacological properties. However, the white sticky latex sap they contain is highly toxic, although it may also have medicinal applications. Phytochemical analyses have demonstrated that these plants exhibit beneficial effects, including antibacterial, antioxidant, antiproliferative, anticancer, anti-inflammatory, antiviral, antifungal, and anti-HIV activities. Key phytochemicals such as euphol, cycloartenol, tirucallol, and triterpenoids contribute to their therapeutic efficacy, along with various proteins like lectin and lysozyme. Despite some Euphorbiaceae species undergoing screening for medicinal compounds, many remain insufficiently examined, highlighting a critical gap in the research literature. Given their historical usage, further investigations are essential to evaluate the medicinal significance of Euphorbia species through detailed studies of isolated compounds and their pharmacokinetics and pharmacodynamics. This research will serve as a valuable resource for future inquiries into the benefits of lesser-studied Euphorbia species. Full article
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<p>Terpene biosynthesis in the cytosol through the mevalonate pathway. Starting with acetyl-CoA, this process produces terpene precursors (isopentenyl pyrophosphate and dimethylallyl pyrophosphate), serving as building blocks for various terpenes with diverse biological functions.</p>
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22 pages, 24106 KiB  
Article
An Automated Method to Assess the Suitability of Existing Boreholes for Solar-Based Pumping Systems: An Application to Southern Madagascar
by Fabio Fussi, Víctor Gómez-Escalonilla, Jean-Jacques Rahobisoa, Hariliva Omena Anahy Ramanantsoa and Pedro Martinez-Santos
Sustainability 2025, 17(3), 1255; https://doi.org/10.3390/su17031255 - 4 Feb 2025
Viewed by 579
Abstract
Groundwater provides a strategic resource in the face of uncertain climate conditions in arid and semi-arid regions. Solar-based groundwater pumping is quickly gaining ground across rural sub-Saharan Africa, promoted by national and international organizations as the new technology of choice for water supply [...] Read more.
Groundwater provides a strategic resource in the face of uncertain climate conditions in arid and semi-arid regions. Solar-based groundwater pumping is quickly gaining ground across rural sub-Saharan Africa, promoted by national and international organizations as the new technology of choice for water supply and irrigation. A crucial question in large-scale developments is whether pre-existing boreholes can be fitted with solar pumps. Based on data from southern Madagascar, this paper provides an automated method to deal with this. Our approach relies on a combination of hydrogeological criteria, including well screen depth, drawdown in relation to the static water column, and pumping efficiency. The results show that 60% of the existing boreholes in the study region are potentially suitable for the installation of solar pumps. Out of these, 54% would be able to supply water to large rural communities (>1000 people), whereas the remaining 46% present the potential to provide water to medium communities (500 to 1000 people). There are, however, concerns as to whether the information contained in the dataset is fully representative of current borehole conditions. Furthermore, the potential for installation of solar-based supplies must be placed in the context of the available resources and local capacities in order to ensure future sustainability. Full article
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<p>Location of the study area. (<b>a</b>) Madagascar in the context of African countries; (<b>b</b>) Bekily region in Madagascar; (<b>c</b>) boreholes with available pump test information in the Bekily region. Communes are administrative entities akin to municipalities.</p>
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<p>Conceptual model of the Authossère and screen position methods based on the estimation of expected drawdown.</p>
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<p>Calculating borehole efficiency for different flow rates based on Jacob’s approach.</p>
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<p>Schematic overview of the automated classification procedure.</p>
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<p>(<b>a</b>) Spatial distribution of maximum step test yield. (<b>b</b>) Spatial distribution of drawdown tests per number of steps.</p>
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<p>Pump test results of boreholes that can produce more than 4 m<sup>3</sup>/h but the maximum yield cannot be estimated. Village Beraketa Centre.</p>
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<p>Pump test results of boreholes that can potentially produce 4 m<sup>3</sup>/h or more, but the available pump test has maximum yield too low for the interpretation in that yield range. Village Antsohamamy.</p>
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<p>Pump test results of boreholes that can potentially be suitable for solar pumps, but the limited maximum yield used in the step drawdown test is not adequate for a reliable interpretation. Village Ankilimiary bas (commune Ankanarabo Nord).</p>
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<p>Spatial distribution of boreholes and their suitability for the installation of solar pumps. This information is overlaid with the distribution of geological materials and the drainage network.</p>
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<p>Maximum operating flow rate as per the Authossère method.</p>
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<p>Minimum distance between each borehole and the closest borehole.</p>
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18 pages, 4796 KiB  
Article
Global Dynamics of Grassland FVC and LST and Spatial Distribution of Their Correlation (2001–2022)
by Zhenggong Miao, Ji Chen, Chuanglu Wang, Shouhong Zhang, Yinjun Ma, Tianchun Dong, Yaojun Zhao, Rui Shi and Jingyi Zhao
Plants 2025, 14(3), 439; https://doi.org/10.3390/plants14030439 - 2 Feb 2025
Viewed by 601
Abstract
Fractional Vegetation Cover (FVC) and Land Surface Temperature (LST) are critical indicators for assessing grassland ecosystems. Based on global remote sensing data for FVC and LST from 2001 to 2022, this study employs the Mann–Kendall trend test and Spearman correlation analysis to explore [...] Read more.
Fractional Vegetation Cover (FVC) and Land Surface Temperature (LST) are critical indicators for assessing grassland ecosystems. Based on global remote sensing data for FVC and LST from 2001 to 2022, this study employs the Mann–Kendall trend test and Spearman correlation analysis to explore the dynamic changes in and spatial distribution patterns of both variables. The results indicate that the FVC is increasing in regions such as Europe, the eastern southern Sahara, western India, eastern South America, western and southern North America, and central China. However, it is decreasing in southern Canada, the central United States, and northern Australia. Significant increases in LST are observed in subarctic regions and the Tibetan Plateau, attributed to polar warming effects associated with global climate change. Conversely, the LST is decreasing in central China, eastern coastal Australia, and southern Africa. The global FVC–LST relationship exhibits the following four distinct spatial distribution patterns: (1) FVC increase and LST increase (Type 1), (2) FVC increase and LST decrease (Type 2), (3) FVC decrease and LST increase (Type 3), and (4) FVC decrease and LST decrease (Type 4). Type 1, covering 33.72%, is primarily found in high-latitude and high-altitude areas, such as subarctic regions and the Tibetan Plateau. Type 2, the largest group (46.98%), is mainly located in eastern North America, eastern South America, and southern Africa. Type 3, which comprises 18.72%, is concentrated in arid and semi-arid regions, while Type 4, representing only 0.59%, lacks clear spatial distribution patterns. Full article
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<p>Per−pixel Mann−Kendall Z value of FVC from 2001 to 2022.</p>
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<p>Per−pixel TS slope value of FVC from 2001 to 2022.</p>
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<p>Per−pixel Mann–Kendall Z value of LST from 2001 to 2022.</p>
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<p>Per−pixel TS slope value of LST from 2001 to 2022.</p>
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<p>Spatial distribution of Spearman correlation coefficients for FVC and LST.</p>
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<p>Spatial distributions of regions with significant positive and negative correlations for FVC and LST.</p>
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<p>Distribution of data under different increasing and decreasing trends of FVC and LST.</p>
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<p>Mean FVC and LST of significantly changed grasslands from 2001 to 2022.</p>
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<p>Time trends of FVC and LST under different increasing and decreasing trends. The shadow in the figure indicates a 95% confidence interval.</p>
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