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Evaluation of the CHIRPS Database in Association with Major Hurricanes in Mexico
José P. Vega-Camarena
,Luis Brito-Castillo
,Luis M. Farfán
,David Avalos-Cueva
,Emilio Palacios-Hernández
,Cesar O. Monzón
Posted: 12 December 2025
Modeling the Impacts of Climate Change on the Distribution of the Invasive Cryptostegia grandiflora in Ethiopia, Using a Machine Learning Approach
Aynyirad Tewodros
,Abdulbasit Hussein
Ethiopia, a biodiversity-rich country in the Horn of Africa, faces growing threats from invasive alien plant species, notably Cryptostegia grandiflora (rubber vine). This study assessed the current and projected future distribution of Cryptostegia grandiflora under climate change scenarios using ensemble species distribution models (MaxEnt, GLM, and Random Forest) and eight key bioclimatic variables. Model performance was high, with a mean AUC of 0.96 and a mean TSS of 0.88. The most influential predictors were mean diurnal temperature range, temperature seasonality, and precipitation seasonality. Under current climate conditions, 98% of Ethiopia (2018932.7 km²) is climatically unsuitable for the species, with suitable habitats concentrated in the central highlands and limited northern pockets. Future projections indicate substantial expansion of suitable habitat. By 2040, highly suitable areas are projected to increase by 162.0% under SSP2-4.5 and 131.2% under SSP5-8.5. By 2060, these areas are expected to expand further by 232.3% and 226.6%, respectively, relative to current climatic conditions. These projected shifts indicate an elevated invasion risk in central and southeastern Ethiopia, with significant ecological and socio-economic challenges, including suppression of native vegetation, reduced pasture productivity, and threats to pastoral livelihoods. Therefore, this study highlights the need for proactive monitoring, early containment, and climate-informed management strategies to mitigate future impacts of Cryptostegia grandiflora on biodiversity and ecosystem services.
Ethiopia, a biodiversity-rich country in the Horn of Africa, faces growing threats from invasive alien plant species, notably Cryptostegia grandiflora (rubber vine). This study assessed the current and projected future distribution of Cryptostegia grandiflora under climate change scenarios using ensemble species distribution models (MaxEnt, GLM, and Random Forest) and eight key bioclimatic variables. Model performance was high, with a mean AUC of 0.96 and a mean TSS of 0.88. The most influential predictors were mean diurnal temperature range, temperature seasonality, and precipitation seasonality. Under current climate conditions, 98% of Ethiopia (2018932.7 km²) is climatically unsuitable for the species, with suitable habitats concentrated in the central highlands and limited northern pockets. Future projections indicate substantial expansion of suitable habitat. By 2040, highly suitable areas are projected to increase by 162.0% under SSP2-4.5 and 131.2% under SSP5-8.5. By 2060, these areas are expected to expand further by 232.3% and 226.6%, respectively, relative to current climatic conditions. These projected shifts indicate an elevated invasion risk in central and southeastern Ethiopia, with significant ecological and socio-economic challenges, including suppression of native vegetation, reduced pasture productivity, and threats to pastoral livelihoods. Therefore, this study highlights the need for proactive monitoring, early containment, and climate-informed management strategies to mitigate future impacts of Cryptostegia grandiflora on biodiversity and ecosystem services.
Posted: 12 December 2025
New Insights into the Geochemistry, Petrography, and Geochronology of Triassic and Cretaceous Granitoids in Kanchanaburi Province, Western Thailand: Implications for Magmatic Evolution and Metallogenesis
Patchawee Nualkhao
,Ekkachak Chandon
,Peerapong Sritangsirikul
,Khin Zaw
,Dylan Sonnemans
,Punya Charusiri
Posted: 12 December 2025
Visualising Earthquakes: Plate Interfaces and Seismic Decay
Tomokazu Konishi
Posted: 12 December 2025
Licorice (Glycyrrhiza glabra): Botanical Aspects, Multisectoral Applications, and Valorization of Industrial Waste for the Recovery of Natural Fiber in a Circular Economy Perspective
Luigi Madeo
,Anastasia Macario
,Federica Napoli
,Pierantonio De Luca
Posted: 12 December 2025
Aquatic Biological Criteria and Ecological Risk Assessment of Fluoride in Surface Water
Jiahao Zhang
,Yuting Pu
,Jing Ye
,Xiaojun Hu
,Chenglian Feng
Posted: 12 December 2025
The Construction Method of Urban-Scale Sponge Ecology Based on Hydrodynamic Models and GIS: Surface Water-Groundwater System Based on Rainwater Recharge
Mengxiao Jin
,Quanyi Zheng
,Yu Shao
,Yong Tian
,Jiang Yu
,Ying Zhang
Posted: 12 December 2025
Origin, Occurrence and Threats of Microplastics in Agricultural Soils: A Comprehensive Review
Georgios Garbounis
,Helen Karasali
,Dimitrios Komilis
Posted: 12 December 2025
Effectiveness of Protected Areas in the conservation of Nothofagus antarctica Forests in Santa Cruz, Argentina
Rocío L. Arcidiácono
,Nirvana N. Churquina
,Julián Rodríguez-Souilla
,Juan M. Cellini
,María Vanessa Lencinas
,Francisco Ferrer
,Pablo L. Peri
,Guillermo Martínez Pastur
Protected areas (PA) constitute a fundamental strategy for mitigating biodiversity loss. Land-sparing approach has expanded in response to international agreements, but expansion of PA does not guarantee conservation objectives. The objective was to assess PA effectiveness in conserving Nothofagus antarctica forests in Santa Cruz (Argentina) evaluating human impacts (fire, animal use, harvesting). The research was conducted within pure native forests in Santa Cruz, Argentina. This province encompasses 52 protected areas, representing the highest concentration of conservation units within the forested landscapes of the country. At least eight of these areas include N. antarctica forests. Three land tenure categories were evaluated: protected areas (PA), buffer of 15-km from PA boundaries on private lands (BL), and private lands (PL). 103 sampling plots were established, where 38 variables were assessed (impacts, soil, forest structure, understory, animal use). Three indices were developed to analyze ecosystem integrity: forest structure (FI), soil (SI), and animal use (AI). PA presents highest FI (0.64 for PA, 0.44 for BL, 0.30 for PL) and AI (0.60 for PA, 0.55 for BL, 0.52 for PL), and together with buffer zones, the highest SI (0.43 for PA, 0.47 for BL, 0.32 for PL. PA showed superior integrity regarding compared to BL and PL, indicating effective preservation despite anthropogenic impacts.
Protected areas (PA) constitute a fundamental strategy for mitigating biodiversity loss. Land-sparing approach has expanded in response to international agreements, but expansion of PA does not guarantee conservation objectives. The objective was to assess PA effectiveness in conserving Nothofagus antarctica forests in Santa Cruz (Argentina) evaluating human impacts (fire, animal use, harvesting). The research was conducted within pure native forests in Santa Cruz, Argentina. This province encompasses 52 protected areas, representing the highest concentration of conservation units within the forested landscapes of the country. At least eight of these areas include N. antarctica forests. Three land tenure categories were evaluated: protected areas (PA), buffer of 15-km from PA boundaries on private lands (BL), and private lands (PL). 103 sampling plots were established, where 38 variables were assessed (impacts, soil, forest structure, understory, animal use). Three indices were developed to analyze ecosystem integrity: forest structure (FI), soil (SI), and animal use (AI). PA presents highest FI (0.64 for PA, 0.44 for BL, 0.30 for PL) and AI (0.60 for PA, 0.55 for BL, 0.52 for PL), and together with buffer zones, the highest SI (0.43 for PA, 0.47 for BL, 0.32 for PL. PA showed superior integrity regarding compared to BL and PL, indicating effective preservation despite anthropogenic impacts.
Posted: 11 December 2025
Leaf Litter and Soil-Mediated Impacts of the Invasive Tree Prosopis juliflora on Seedlings of Resident Tree Species
Dub Isacko Dub
,Simon Kosgey Choge
,Pia R. Stettler
,Urs Schaffner
Posted: 11 December 2025
Distribution Characteristics and Causes of Hypoxia in the Central Bohai Sea in 2022
Hansen Yue
,Jie Guo
,Chawei Hou
,Yong Jin
Posted: 11 December 2025
Provincial Scale Monitoring of Mangrove Area and Smooth Cordgrass Evasion in Subtropical China Using UAV Imagery and Machine-Learning Methods
Qiliang Lv
,Peng Zhou
,Sheng Yang
,Yongjun Shi
,Jiangming Ma
,Jiangcheng Yang
,Guangsheng Chen
The survival and growth of mangrove along the coastal China was threatened by the invasive smooth cordgrass (Spartina alterniflora). Due to the high mortality and frequent replanting of mangrove trees and impacts of invasive smooth cordgrass, it is still unclear about the exact mangrove forest area in Zhejiang Province, China. Based on provincial scale UAV imagery and large numbers of field survey plots, this study classified the area and distribution of mangroves and the invasion status of smooth cordgrass using the identified machine-learning method. The accuracy assessment indicated that the overall accuracy and Kappa coefficient were 97% and 0.96, respectively for land cover classifications. The total area of mangrove forest and smooth cordgrass was 140.83 ha and 52.95 ha, respectively in Zhejiang Province. The mangrove forest area was mostly concentrated in Yuhuan, Dongtou, Yueqing and Longgang districts. The overall survival rate of mangrove trees was only 36.41%, with lower than 20% survival rates in all northern and some central districts. At spatial scale, the mangrove trees showed a scattered distribution pattern, and over 70.04% of the planting area has canopy coverage lower than 20%, indicating a high mortality rate. Smooth cordgrass has widely invaded in all 11 districts, accounting for about 13.7% of the total planting area of mangrove trees. Over 67.3% and 85.4% of the planting area has been occupied by smooth cordgrass in Wenling and Jiaoxiang districts, respectively, which calls for an intensive anthropogenic intervention to control the spreading of smooth cordgrass in these districts. Our study provides a more accurate monitoring of the mangrove and smooth cordgrass distribution area at a provincial scale. The findings will help guide the replanting and management activities of mangrove trees and the control planning of smooth cordgrass, and also provide data basis for accurate estimation of carbon stock for mangrove forests in Zhejiang Province.
The survival and growth of mangrove along the coastal China was threatened by the invasive smooth cordgrass (Spartina alterniflora). Due to the high mortality and frequent replanting of mangrove trees and impacts of invasive smooth cordgrass, it is still unclear about the exact mangrove forest area in Zhejiang Province, China. Based on provincial scale UAV imagery and large numbers of field survey plots, this study classified the area and distribution of mangroves and the invasion status of smooth cordgrass using the identified machine-learning method. The accuracy assessment indicated that the overall accuracy and Kappa coefficient were 97% and 0.96, respectively for land cover classifications. The total area of mangrove forest and smooth cordgrass was 140.83 ha and 52.95 ha, respectively in Zhejiang Province. The mangrove forest area was mostly concentrated in Yuhuan, Dongtou, Yueqing and Longgang districts. The overall survival rate of mangrove trees was only 36.41%, with lower than 20% survival rates in all northern and some central districts. At spatial scale, the mangrove trees showed a scattered distribution pattern, and over 70.04% of the planting area has canopy coverage lower than 20%, indicating a high mortality rate. Smooth cordgrass has widely invaded in all 11 districts, accounting for about 13.7% of the total planting area of mangrove trees. Over 67.3% and 85.4% of the planting area has been occupied by smooth cordgrass in Wenling and Jiaoxiang districts, respectively, which calls for an intensive anthropogenic intervention to control the spreading of smooth cordgrass in these districts. Our study provides a more accurate monitoring of the mangrove and smooth cordgrass distribution area at a provincial scale. The findings will help guide the replanting and management activities of mangrove trees and the control planning of smooth cordgrass, and also provide data basis for accurate estimation of carbon stock for mangrove forests in Zhejiang Province.
Posted: 11 December 2025
Dominant Modes of Seasonal Moisture Flux Variability and Their Synoptic Drivers Over the North American Prairies
Soumik Basu
,David Sauchyn
Posted: 11 December 2025
Numerical Modeling of Stress-Field Formation in a Coal–Rock Mass During Excavation near a Geological Fault
Araylym Aitpaeva
,Nurbol Khuangan
,Gulzat Zhunis
Posted: 11 December 2025
A New Device for Continuous, Real-Time Acoustic Measurement of Rain Inclination
David Dunkerley
Driving rain or ‘wind-driven rain’ (WDR) arrives at the ground on an oblique trajectory, and drops may strike at a speed greater than their still-air terminal velocity. Oblique rain can affect a range of geomorphic processes including the splash dislodgment and transport of soil particles, and hydrological processes including overland flow, canopy interception and the generation of stemflow. The mean rain inclination angle at which WDR strikes the ground has been estimated from the catch of paired gauges, one with a conventional horizontal orifice, and one with a vertical orifice. Such data allow the resolution of rain vectors to find the rain inclination. This can only be carried out over periods sufficiently long for a measurable rain depth to be measured, and does not permit the real-time recording of rain inclination. Here, a new acoustic method for measuring rain inclination is introduced that provides an inexpensive tool for the continuous, real-time monitoring of WDR. Furthermore, the method also permits the simultaneous recording of rainfall duration and intermittency at high temporal resolution, with no additional apparatus. Data on rain inclinations collected during showers on a tropical coast exposed to strong trade-winds are presented to illustrate the operation of the acoustic measurement system. However, the focus of this paper is the presentation of the new method itself, and not on the climatology of WDR.
Driving rain or ‘wind-driven rain’ (WDR) arrives at the ground on an oblique trajectory, and drops may strike at a speed greater than their still-air terminal velocity. Oblique rain can affect a range of geomorphic processes including the splash dislodgment and transport of soil particles, and hydrological processes including overland flow, canopy interception and the generation of stemflow. The mean rain inclination angle at which WDR strikes the ground has been estimated from the catch of paired gauges, one with a conventional horizontal orifice, and one with a vertical orifice. Such data allow the resolution of rain vectors to find the rain inclination. This can only be carried out over periods sufficiently long for a measurable rain depth to be measured, and does not permit the real-time recording of rain inclination. Here, a new acoustic method for measuring rain inclination is introduced that provides an inexpensive tool for the continuous, real-time monitoring of WDR. Furthermore, the method also permits the simultaneous recording of rainfall duration and intermittency at high temporal resolution, with no additional apparatus. Data on rain inclinations collected during showers on a tropical coast exposed to strong trade-winds are presented to illustrate the operation of the acoustic measurement system. However, the focus of this paper is the presentation of the new method itself, and not on the climatology of WDR.
Posted: 11 December 2025
UAS-LiDAR Mapping of Bog Microrelief Enhances Accuracy of Ground-Layer Phytomass Estimation
Danil V. Ilyasov
,Anastasia V. Niyazova
,Iuliia V. Kupriianova
,Aleksandr F. Sabrekov
,Alexandr A. Kaverin
,Mikhail F. Kulyabin
,Mikhail V. Glagolev
Reliable upscaling of peatland carbon stocks is fundamentally challenged by fine-scale microrelief heterogeneity, which remains unresolved by conventional field or satellite methods. We demonstrate the critical advantage of Unmanned Aerial System LiDAR (UAS-LiDAR) for mapping the hierarchical microrelief (ridges/hollows, hummocks/depressions) of a Western Siberian ombrotrophic bog to enhance ground-layer phytomass estimation. We developed and validated a straightforward, rule-based method to classify microforms from a normalized digital terrain model using optimized elevation thresholds. The resulting map was used to upscale field-measured phytomass and compared against estimates from satellite imagery (SuperView-2) and traditional field-visual extrapolation. While total landscape-level phytomass stocks were similar across methods (~93–97 t ha−1), their spatial allocation among microtopographic elements differed fundamentally. Crucially, the satellite-based method exhibited a predictable, landscape-dependent systematic bias (overestimation in ryam with hollows, underestimation in ryam), which remained hidden when using only aggregate accuracy metrics. Only the LiDAR-based approach accurately resolved the biomass of critical small microforms (e.g., hummocks within hollows), which were missed or misaggregated by traditional techniques. We conclude that objective, high-resolution microrelief mapping via UAS-LiDAR is essential for spatially explicit and ecologically coherent phytomass upscaling, providing an indispensable structural template for accurate carbon accounting in heterogeneous peatlands.
Reliable upscaling of peatland carbon stocks is fundamentally challenged by fine-scale microrelief heterogeneity, which remains unresolved by conventional field or satellite methods. We demonstrate the critical advantage of Unmanned Aerial System LiDAR (UAS-LiDAR) for mapping the hierarchical microrelief (ridges/hollows, hummocks/depressions) of a Western Siberian ombrotrophic bog to enhance ground-layer phytomass estimation. We developed and validated a straightforward, rule-based method to classify microforms from a normalized digital terrain model using optimized elevation thresholds. The resulting map was used to upscale field-measured phytomass and compared against estimates from satellite imagery (SuperView-2) and traditional field-visual extrapolation. While total landscape-level phytomass stocks were similar across methods (~93–97 t ha−1), their spatial allocation among microtopographic elements differed fundamentally. Crucially, the satellite-based method exhibited a predictable, landscape-dependent systematic bias (overestimation in ryam with hollows, underestimation in ryam), which remained hidden when using only aggregate accuracy metrics. Only the LiDAR-based approach accurately resolved the biomass of critical small microforms (e.g., hummocks within hollows), which were missed or misaggregated by traditional techniques. We conclude that objective, high-resolution microrelief mapping via UAS-LiDAR is essential for spatially explicit and ecologically coherent phytomass upscaling, providing an indispensable structural template for accurate carbon accounting in heterogeneous peatlands.
Posted: 11 December 2025
Treatment of Leachate Wastewater by Methods of Micro-Electrolysis Fe/Cu and Anaerobic- Anoxic—Oxic Moving Bed Biofilm Reactor (A2O-MBBR)
Van Tu Nguyen
,Vu Duy Nhan
Posted: 11 December 2025
A Novel Preparation and Application of Orange Peels Aerogel for Removal of Oil Contaminants in Soils
Uloaku Michael-Igolima
,Samuel J. Abbey
,Augustine O. Ifelebuegu
,Raphael B. Jumbo
,Kabari Sam
Posted: 11 December 2025
Toward Sustainable Ready-to-Eat Salads: Integrating Substrate Management and Eco-Friendly Packaging in Wild Rocket Production
Rachida Rania Benaissa
,Perla A. Gómez
,Almudena Giménez
,Victor M. Gallegos-Cedillo
,Jesús Ochoa
,Juan A. Fernández
,Catalina Egea-Gilabert
Posted: 11 December 2025
Climate-Driven Shifts in Rainy and Dry Season Timing in the Tropical Andes Using Harmonic Analysis
Sheila Serrano-Vincenti
,Jonathan González-Chuqui
,Mariana Luna-Cadena
,León Escobar
Posted: 10 December 2025
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