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  1. 321

    Advance, steadfast, retreat? Growth and establishment of white spruce seedlings at treelines in Alaska by Andreas Burger, Mario Trouillier, Martin Wilmking

    Published 2025-06-01
    “…Abstract Range dynamics of tree species are largely driven by seedling establishment and survival, mainly at and beyond current treelines. …”
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    Article
  2. 322

    Developing advanced datadriven framework to predict the bearing capacity of piles on rock by Kennedy C. Onyelowe, Shadi Hanandeh, Viroon Kamchoom, Ahmed M. Ebid, Fabián Danilo Reyes Silva, José Luis Allauca Palta, José Luis Llamuca Llamuca, Siva Avudaiappan

    Published 2025-04-01
    “…A comprehensive dataset comprising key influencing factors such as pile dimensions, geological characteristics, and penetration resistance was utilized to train and validate various models, including Kstar, M5Rules, ElasticNet, XNV, and Decision Trees. …”
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    Article
  3. 323

    Impacts of climate extremes on vegetation health in the tropical savannas of Africa by Jeanine Umuhoza, Guli Jiapaer, Yu Tao, Jie Bai, Egide Hakorimana, Liancheng Zhang, Hongwu Liang, Kaixiong Lin, Tongwei Ju

    Published 2025-09-01
    “…This research employs linear regression analysis and boosted regression trees (BRT) to assess the influences of climatic factors, including precipitation, temperature, Vapor Pressure Deficit (VPD), Soil Moisture (SM) and drought, on vegetation health in the African tropical savanna from 2000 to 2020. …”
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  4. 324

    Enhancing the Accuracy of Land Use/Cover Map Using Some Spectral Indices in Sarab County–East Azerbaijan by A. Sarabchi, H. Rezaei, F. Shahbazi

    Published 2024-11-01
    “…This study was carried out in an area covering approximately 8000 hectares, characterized by diverse conditions in LULC, geomorphology and pedology. The objective was to investigate the potential for achieving maximum differentiation and accurate mapping of land features related to LULC. …”
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    Article
  5. 325

    Machine learning for asphaltene polarizability: Evaluating molecular descriptors by Arun K. Sharma, Owen McMillan, Selsela Arsala, Supreet Gandhok, Rylend Young

    Published 2025-06-01
    “…Asphaltenes are complex polycyclic organic molecules in crude oil that readily aggregate and precipitate under varying thermodynamic conditions. Their structural heterogeneity influences key physicochemical properties, including solubility, stability, and reactivity. …”
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  6. 326

    Small reserves as targets for alien species invasions: the case of Mykhailivska Tsilyna (Ukraine) by Igor Merzlikin

    Published 2025-07-01
    “…Further overgrowth of steppe areas and fallows on the new territory added to the reserve five years ago with trees and shrubs increases the opportunities for new settlers.…”
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  7. 327

    Anthropogenic Drivers of Small-Island Effects in Urban Remnant Woody Plants by Di Kong, Kai Wang, Lin Dong, Jinming Yang, Zhiwen Gao, Hong Liang

    Published 2024-12-01
    “…For trees, the SIE was influenced by the distance to the source of species, <i>GDP</i>, night light intensity, and perimeter–area ratio. …”
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  8. 328

    Yield, Production Losses, Fertility Status, and Soil Microbial Population in Three Different Cocoa (Theobroma cacao L.)-Based Cropping Systems in an Oxisol in Southern Cameroon by Pierre Germain Ntsoli, Idriss Djoko Kouam, Roland Wilfried Titti, Georges Marius Etame Kossi, David Brondon Mouthe, Aoudou Yaouba

    Published 2025-01-01
    “…Cocoa is a vital crop globally, yet its production is influenced by various cropping systems that can significantly affect its field performance and long-term sustainability. …”
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  9. 329

    Fungal Footprints: Soil Fungal Communities in Black Walnut and Red Oak Forests by Shaneka S. Lawson, Juan P. Frene, Niall D. Lue Sue

    Published 2024-10-01
    “…These findings highlight how crucial it is to understand how different tree species influence fungal communities and, consequently, how they influence forest soil health. …”
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    Article
  10. 330

    Advanced generalized machine learning models for predicting hydrogen–brine interfacial tension in underground hydrogen storage systems by Ahmed Farid Ibrahim

    Published 2025-05-01
    “…IFT is key in fluid behavior, influencing structural and residual trapping capacities. …”
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  13. 333

    Different responses of canopy and shrub leaves to canopy nitrogen and water addition in warm temperate forest by Mengke Li, Mengke Li, Mengke Li, Mengke Li, Ruomin Sun, Ruomin Sun, Ruomin Sun, Ruomin Sun, Yaqi He, Yaqi He, Yaqi He, Yaqi He, Tenglong Zhou, Tenglong Zhou, Tenglong Zhou, Tenglong Zhou, Jianing Mao, Jianing Mao, Jianing Mao, Jianing Mao, Wen Li, Wen Li, Wen Li, Wen Li, Chang Liu, Chang Liu, Chang Liu, Chang Liu, Lei Ma, Lei Ma, Lei Ma, Lei Ma, Shenglei Fu, Shenglei Fu, Shenglei Fu, Shenglei Fu

    Published 2025-04-01
    “…Although previous studies primarily examined the effects of environmental changes on leaf functional traits, the underlying physiological and metabolic processes associated with these traits remain poorly understood and warrant further investigation.MethodsTo address this knowledge gap, we evaluated the influence of canopy nitrogen (25 kg ha-1 yr-1) and water (30% of the local precipitation) addition on leaf functional traits, diversity, and associated physiological and metabolic processes in the dominant species of tree and shrub layers.ResultsOnly the interaction between nitrogen and water significantly reduced the functional richness (FRic) of the community. …”
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  14. 334

    Automatic detection of floating instream large wood in videos using deep learning by J. Aarnink, J. Aarnink, T. Beucler, T. Beucler, M. Vuaridel, V. Ruiz-Villanueva, V. Ruiz-Villanueva

    Published 2025-02-01
    “…<p>Instream large wood (i.e. downed trees, branches, and roots larger than 1m in length and 10 cm in diameter) performs essential geomorphological and ecological functions that support the health of river ecosystems. …”
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  15. 335

    Deploying machine learning for long-term road pavement moisture prediction: A case study from Queensland, Australia by Ayesh Dushmantha, Ruixuan Zhang, Yilin Gui, Jinjiang Zhong, Chaminda Gallage

    Published 2025-06-01
    “…The moisture content within pavements exhibits considerable dynamism and directly influenced by environmental factors such as precipitation, air temperature, and relative humidity. …”
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  16. 336

    Local ecological knowledge about pest control offers novel perspectives for Aye-aye conservation by Holinirina Beby Rabemananjara, Holinirina Beby Rabemananjara, Christof Bodenburg, Dominik Schüßler, Yazdan Asadi, Joelisoa Ratsirarson, Josia Razafindramanana, Josia Razafindramanana, Hantanirina Rasamimanana, Torsten Richter, Anke Meisert

    Published 2025-04-01
    “…Survey analysis employed a Random Forest model and expert interviews were analyzed using qualitative content analysis.ResultsClove farming experts emphasized the beneficial effect that an Aye-aye has by suppressing invertebrate pest species on clove trees. About 44% of the survey participants related the Aye-aye to pest control and knowledge of its insectivory was identified as a critical factor influencing this benefit knowledge. …”
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  17. 337

    Floristic characteristics of vascular plants in Qilian Mountain region, China by LI Jianan1,2,3, WANG Bo1,2,3, ZHAO Shuo1,2,3, ZHANG Famei1,2,3, ZHOU Guoying1,2 *

    Published 2024-08-01
    “…This suggests that the species composition and geographical components are synthetically influenced by local climatic conditions, topographic conditions, and diverse habitat types.(4)The presence of endemic species was significant, with a total of 717 endemic species in China and 45 endemic species in Qilian Mountain region, reflecting the uniqueness, diversity, and complexity of the ecosystem in the important region. …”
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  18. 338

    Epiphytic lichen as a bioindicator of air pollution across selected urban, suburban, and rural areas in Malaysia by Nur Syafiqah Abd Hakim, Asmida Ismail, Mohd Talib Latif, Faezah Pardi, Rosla Zamzuri, Sofia Khalid, Faeiza Buyong

    Published 2025-08-01
    “…Results : Lichen samples were collected from 10 Mimusops elengi trees per site using 20 cm × 30 cm quadrats and identified morphologically and chemically. …”
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  19. 339

    Association of apple powdery mildew (Podosphaera leucotricha) and anthracnose (Neofabraea malicorticis) epidemics with environmental factors and agronomic practices in Chencha high... by Asnake Abera Arato, Getachew Gudero Mengesha, Zemenu Fentahun Biress, Biniam Boraysho Borano

    Published 2025-02-01
    “…In the model, precipitation was highly significant (P < 0.0001) in association with powdery mildew severity than anthracnose. Aged trees, monocropping, disease, and weed management, along with favorable environmental conditions, were highly contributing factors to the high (> 26% for powdery mildew and > 24% for anthracnose) disease severity in the model. …”
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  20. 340

    Developing a Transparent Anaemia Prediction Model Empowered With Explainable Artificial Intelligence by Muhammad Sajid Farooq, Muhammad Hassan Ghulam Muhammad, Oualid Ali, Zahid Zeeshan, Muhammad Saleem, Munir Ahmad, Sagheer Abbas, Muhammad Adnan Khan, Taher M. Ghazal

    Published 2025-01-01
    “…The worldwide health epidemic of anaemia which is a condition with low levels of red blood cells or haemoglobin requires accurate prediction models to act promptly and improve patient outcomes because it is widespread and has different causes. …”
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    Article