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  1. 341

    The Heritagescape of <i>Kichwa</i> People of <i>Nizag</i> Built upon Traditional Plant Usage along a Chimborazo Variant of the Andean Road System or <i>Qhapaq Ñan</i> by Carlos Renato Chávez Velásquez, Alba Maritza Sinaluisa Pilco, Luis Felipe Lema Palaquibay, Paola Alexandra Velasteguí Arévalo, Juan Enrique Ureña Moreno, Alden Mauro Yépez Noboa, James Brandon Latimer, Fausto O. Sarmiento

    Published 2024-08-01
    “…The findings indicate that age, rather than educational level and gender, significantly influences the variation in plant usage knowledge. In total, 142 plant species were cataloged, comprising herbs (58%), shrubs (23%), trees (15%), and climbers (4%). …”
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    Article
  2. 342

    Integrative hydrologic modelling of soil and water conservation strategies: a SWAT-based evaluation of environmental resilience in the Merguellil watershed, Tunisia by Taoufik Hermassi, Fathia Jarray, Waad Tlili, Issam Achour, Mohamed Mechergui

    Published 2025-02-01
    “…The central subbasins, marked by olive trees and strategic conservation, demonstrate substantial decreases, emphasizing successful erosion control efforts. …”
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    Article
  3. 343

    Life cycle emissions associated with vault storage of wood cleared for fire management in the Western United States by Declan Johnson, Jimmy Voorhis, Stephen Porder

    Published 2025-08-01
    “…Wood vaults can be particularly impactful in locations that facilitate short transport distances and where biogeochemical conditions at the vault site minimize wood decay.…”
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    Article
  4. 344

    Integrating spatial mapping and metabolomics: A novel platform for bioactive compound discovery and saline land reclamation by Tushar Andriyas, Nisa Leksungnoen, Pichaya Pongchaidacha, Arashaporn Uthairangsee, Suwimon Uthairatsamee, Peerapat Doomnil, Yongkriat Ku-Or, Chatchai Ngernsaengsaruay, Sanyogita Andriyas, Arerut Yarnvudhi, Rossarin Tansawat

    Published 2025-01-01
    “…An ensemble SDM model incorporating environmental and soil parameters identified salinity as a critical factor influencing the species’ distribution. Leaf samples were collected from naturally growing trees at both saline (SS) and non-saline (NS) sites. …”
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    Article
  5. 345

    Optimizing machine learning methods for groundwater quality prediction: Case study in District Bagh, Azad Kashmir, Pakistan by Usman Basharat, Wenjing Zhang, Cuihong Han, Shoukat Husain Khan, Arshad Abbasi, Sehrish Mahroof, Shuxin Li

    Published 2025-09-01
    “…Future applications could refine models and expand datasets to enhance predictive accuracy and applicability across regions and conditions.…”
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    Article
  6. 346

    Background factors of crisis distance learning perception by O. A. Valger, I. A. Vezner, O. A. Sklyomina

    Published 2023-01-01
    “…The background factors that influence the student perception sig­nificantly are the year of their programme, their commute patterns, their living conditions, and their employment status.Scientific novelty. …”
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    Article
  7. 347

    Plant selection for semi-arid urban landscapes with an emphasis on climate change (case study: Tehran) by Malek Rabiei Sadeghabadi, Omid Nouri, Reza Deihimfard

    Published 2020-03-01
    “…Introduction: Urban landscape, especially urban forest and city trees, usually has vital and various effects on the mental and physical health of humans, environmental embellishment, and mitigating the destructive effect of climatic changes like wind storms and flood control, as well as reduction and control of hazardous contaminants. …”
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    Article
  8. 348

    Quantifying the effect of non-spatial and spatial forest stand structure on rainfall partitioning in mountain forests, Southern China by Chunxia Liu, Yujie Wang, Chao Ma, Yunqi Wang, Huilan Zhang, Bo Hu

    Published 2018-04-01
    “…The results highlight that stand structure in combination with rainfall patterns influence rainfall partitioning.…”
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    Article
  9. 349

    Logistic function explains the growth dynamics of different types of shoots of four olive cultivars grown in a super high-density orchard by Leonardo Costanza, Diego Maria Pinto, Luigi Pinto, Gaetano Alessandro Vivaldi, Salvatore Camposeo

    Published 2025-06-01
    “…However, limited information are available on shoot growth dynamics of the olive tree under the SHD system. This study aimed to investigate the shoot growth dynamics of four olive cultivars (‘Arbequina’, ‘Coratina’, ‘Frantoio’, and ‘Urano’) by modeling the elongation of different shoot types (apical proleptic, lateral proleptic, sylleptic) under SHD conditions.MethodsA four-year field study was conducted on four olive cultivars (‘Arbequina’, ‘Coratina’, ‘Frantoio’, and ‘Urano’) grown in an SHD orchard under Mediterranean climate. …”
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  10. 350

    Yield and Quality of Walnuts Subjected to Deficit Irrigation in Mountainous Water-Starved Environments by Víctor Hugo Durán Zuazo, Belén Cárceles Rodríguez, Esther Sendra, Ángel Antonio Carbonell-Barrachina, Leontina Lipan, Francisca Hernández, Baltasar Gálvez Ruiz, Iván Francisco García-Tejero

    Published 2025-06-01
    “…Chandler amounted to 6.7, 6.4, and 12.2 kg tree<sup>−1</sup> under SDI<sub>33</sub>, SDI<sub>50</sub>, and SDI<sub>75,</sub> respectively, which were less than 13.9 kg tree<sup>−1</sup> in the C<sub>100</sub> plot. …”
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  11. 351

    Leaf isoprene and monoterpene emissions vary with fast-slow carbon economics strategies in central Amazon woody species by Michelle Robin, Michelle Robin, Eliane Gomes Alves, Eliane Gomes Alves, Tyeen C. Taylor, Tyeen C. Taylor, Débora Pinheiro Oliveira, Sérgio Duvoisin, José Francisco C. Gonçalves, Jochen Schöngart, Florian Wittmann, Maria T. F. Piedade, Susan Trumbore, Juliana Schietti, Juliana Schietti

    Published 2025-05-01
    “…We measured leaf-level isoprene and monoterpene emission capacity (Ec; emission measured under standard conditions of photosynthetically active radiation of 1000 µmol m-2 s-1 and leaf temperature of 30 ˚C), and 12 leaf and four stem functional traits for 91 trees from 31 species of angiosperm distributed across different vegetation types: non-flooded upland, white sand, and ancient non-flooded river terrace forests. …”
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  12. 352

    Health-related quality of life in children and adolescents born very preterm and its correlates: a cross-sectional study by Dirk Bassler, Giancarlo Natalucci, Sarah R Haile, Mark Adams, Susi Kriemler, Gabriela P Peralta, Thomas Radtke, Ajay N Bharadwaj, Alexander Moeller

    Published 2024-10-01
    “…The influence of respiratory symptom amelioration and its potential influence on HRQOL needs to be investigated further.Trial registration number NCT04448717.…”
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  13. 353

    The Stability of a Predator–Prey Model with Cross-Dispersal in a Multi-Patch Environment by Keyao Xu, Keyu Peng, Shang Gao

    Published 2024-11-01
    “…This paper investigates the stability of predator–prey models within multi-patch environments, with a particular focus on the influence of cross-dispersion across patches. We apply Kirchhoff’s matrix tree theorem and Liapunov’s method to derive criteria related to the cross-dispersion topology, thus solving the challenge of determining global asymptotic stability conditions. …”
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    Article
  14. 354

    SMAP Validation Experiment 2019&#x2013;2022 (SMAPVEX19&#x2013;22): Field Campaign to Improve Soil Moisture and Vegetation Optical Depth Retrievals in Temperate Forests by Andreas Colliander, Michael H. Cosh, Laura Bourgeau-Chavez, Victoria R. Kelly, Simon Kraatz, Paul Siqueira, Victoria A. Walker, Xingjian Chen, Alexandre Roy, Tarendra Lakhankar, Kyle C. McDonald, Nicholas Steiner, Mehmet Kurum, Seung-bum Kim, Aaron Berg, Xiaolan Xu, Sidharth Misra, Mehmet Ogut, Cristina Vittucci, John S. Kimball, Dara Entekhabi, Simon H. Yueh

    Published 2025-01-01
    “…The field campaign measured SM, surface conditions, and vegetation properties, with results demonstrating the value of tree sensors with SM measurements and destructive sampling of the vegetation water content of branches and leaves to capture the water distribution in soil and trees. …”
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  15. 355

    Machine learning classification algorithm screening for the main controlling factors of heavy oil CO2 huff and puff by Peng-xiang Diwu, Beichen Zhao, Hangxiangpan Wang, Chao Wen, Siwei Nie, Wenjing Wei, A-qiao Li, Jingjie Xu, Fengyuan Zhang

    Published 2024-12-01
    “…However, the effectiveness of this method varies significantly under different geological and fluid conditions, which leads to a high-dimensional and small-sample (HDSS) dataset. …”
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    Article
  16. 356

    Modeling of a Novel T-Core Sensor with an Air Gap for Applications in Eddy Current Nondestructive Evaluation by Siquan Zhang

    Published 2024-12-01
    “…The study further explored the influence of T-core design parameters, including the air gap radius, dome radius, core column height, and relative permeability of the T-core material, on the inspection sensitivity. …”
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    Article
  17. 357

    Urban green infrastructure valuation: an economic method for the aesthetic appraisal of hedges by Andrea Dominici, Sandro Sacchelli

    Published 2025-02-01
    “…The results highlight the relevance of species, plant height, and the number of hedge rows for the unitary and total value of green infrastructures. Phytosanitary condition, the presence of gaps in linear traits, and the degree of tree canopy coverage also influence the economic performances of hedges. …”
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  18. 358

    Citizen science and expert opinion working together to understand the impacts of climate change. by Maria Isabel Garcia-Rojas, Marie R Keatley, Nadiah Roslan

    Published 2022-01-01
    “…Jacaranda mimosifolia being the most frequently observed species was used in this study to test expert opinion and the adequacy of citizen science records in detecting the influence of climatic conditions on this species' flowering phenology. …”
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    Article
  19. 359

    Exploring rodent prosociality: A conceptual framework by Charron Valérie, Talbot Joey, Plamondon Hélène

    Published 2025-06-01
    “…This conceptual framework aims to (1) reframe prosociality as a set of complex behaviors emerging in response to environmental determinants that cannot be reduced to a single set of data; (2) highlight important methodological considerations, mediating variables, and behavioral analyses that influence prosocial behaviors; and (3) present a decision tree as a dynamic element within this conceptual framework to offer guidance to researchers. …”
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    Article
  20. 360

    AI-based orchard monitoring at night: Enhancing sustainable fruit production through real-time apple detection by Kutyrev Alexey, Khort Dmitry, Smirnov Igor, Zubina Valeria

    Published 2025-01-01
    “…The study highlights the complexities arising from the variability of lighting in natural daytime conditions of industrial gardens, which makes object recognition difficult due to the influence of various natural factors. …”
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    Article