Showing 81 - 100 results of 1,442 for search 'Simulation forest', query time: 0.14s Refine Results
  1. 81

    Managing ecosystem services in the Brazilian Amazon: the influence of deforestation and forest degradation in the world’s largest rain forest by Walter Leal Filho, Maria Alzira Pimenta Dinis, Moara Almeida Canova, Marcio Cataldi, Giulia Angelina Silva da Costa, Alex Enrich-Prast, Elias Symeonakis, Francis Q. Brearley

    Published 2025-05-01
    “…While initially manifesting at local and regional scales, these effects increasingly pose risks to global climate stability. We simulated deforestation scenarios (15%, 50%, and 100% forest loss) using the Community Atmosphere Model (CAM 3.1) to evaluate precipitation changes and atmospheric responses. …”
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    Article
  2. 82

    Developing Species-Age Cohorts from Forest Inventory and Analysis Data to Parameterize a Forest Landscape Model by Richard H. Odom, W. Mark Ford

    Published 2021-01-01
    “…Simulating long-term, landscape level changes in forest composition requires estimates of stand age to initialize succession models. …”
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  3. 83

    Disentangling future effects of climate change and forest disturbance on vegetation composition and land surface properties of the boreal forest by L. S. Layritz, K. Gregor, A. Krause, S. Kruse, B. F. Meyer, T. A. M. Pugh, T. A. M. Pugh, T. A. M. Pugh, A. Rammig

    Published 2025-07-01
    “…We use the dynamic vegetation model LPJ-GUESS to investigate and disentangle the impacts of climate change and intensifying disturbance regimes in future projections of boreal vegetation cover as well as changes in land surface properties such as albedo and evapotranspiration. Our simulations find that (1) warming alone drives shifts towards more densely forested landscapes, (2) more intense disturbances reduce tree cover in favor of shrubs and grasses, and (3) the interaction between climate and disturbances leads to an expansion of deciduous trees. …”
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    An explicit forest carbon stock model and applications by Ningning Zhu, Bisheng Yang, Weishu Gong, Shen Ying, Wenxia Dai, Zhen Dong

    Published 2025-03-01
    “…First, the pixel size, forest canopy density, terrain slope, and forest height were used in the construction of EFM; Second, the EFM parameters were solved by simulated forest scene; Third, the EFM was used in simulated and real forest scenes to verify the accuracy, robustness, and applicability, the experiments show that the relative error is about 15%; Finally, the first time mapping forest carbon stock over 200,000 km2 area at 2 m scale was completed by the EFM. …”
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  8. 88
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    ASSOCIATION RULES IN RANDOM FOREST FOR THE MOST INTERPRETABLE MODEL by Hafizah Ilma, Khairil Anwar Notodiputro, Bagus Sartono

    Published 2023-04-01
    “…Random forest is one of the most popular ensemble methods and has many advantages. …”
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  11. 91

    Modelling Friction Phenomena in the Dynamics Analysis of Forest Cranes by Andrzej URBAŚ, Marek SZCZOTKA

    Published 2016-11-01
    “…A dynamics analysis of a forest crane, with a special consideration of friction in joints, is considered. …”
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  12. 92

    Simulations of Microwave Land Surface Emissivity Using FengYun-3D Microwave Radiation Imager Data: A Case in the Tibetan Plateau by Yonghong Liu, Fuzhong Weng, Fei Tang, Rui Li, Yongming Xu, Yang Han, Jun Yang, Qingyang Liu

    Published 2024-01-01
    “…In this article, a new random forest (RF) algorithm is developed for retrieving MLSE under all-sky conditions. …”
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    Article
  13. 93

    The Effects of Selective Logging Behaviors on Forest Fragmentation and Recovery by Xanic J. Rondon, Graeme S. Cumming, Rosa E. Cossío, Jane Southworth

    Published 2012-01-01
    “…We used the Lotka-Volterra predator-prey model with Holling’s functional response II to simulate selective logging, coupled with a cellular automaton model to simulate logger mobility and forest fragmentation. …”
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    Article
  14. 94

    Designing UAV Charging Framework for Forest Area with Microgrid by Ming Yu

    Published 2024-12-01
    “…Unmanned aerial vehicles (UAVs) are suitable for forest fire monitoring, which is critical to prevent unexpected hazards. …”
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  15. 95

    Predicting Respiratory Conditions Using Random Forest and XGBoost by Dhiyaussalam Dhiyaussalam, Ahmad Yusuf, Isna Wardiah, Nitami Lestari Putri

    Published 2025-06-01
    “…This study examines the performance of Random Forest and XGBoost in predicting the diagnosis and severity of respiratory diseases using a simulated dataset of 2,000 patient records. …”
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  16. 96

    Shape Penalized Decision Forests for Imbalanced Data Classification by Rahul Goswami, Aindrila Garai, Payel Sadhukhan, Palash Ghosh, Tanujit Chakraborty

    Published 2025-01-01
    “…This paper introduces Shape Penalized Decision Forests, a novel classifier tailored for imbalanced binary classification. …”
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  17. 97

    Drivers of soil organic carbon from temperate to alpine forests: a model-based analysis of the Swiss forest soil inventory with Yasso20 by C. Guidi, S. Gosheva-Oney, S. Gosheva-Oney, M. Didion, R. Flury, L. Walthert, S. Zimmermann, B. J. Oney, P. A. Niklaus, E. Thürig, T. Viskari, T. Viskari, J. Liski, F. Hagedorn

    Published 2025-08-01
    “…<p>Predicting soil organic carbon (SOC) stocks and their dynamics in forest ecosystems is crucial for assessing forest C balance, but the relative importance of key controls – litter inputs, climate, and soil properties – remains uncertain. …”
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    Copula Approximate Bayesian Computation Using Distribution Random Forests by George Karabatsos

    Published 2024-09-01
    “…This paper also proposes and studies a new solution to the simulation cost problem in ABC involving the posterior estimation of parameters from datasets simulated from the given model that are smaller compared to the potentially large size of the dataset being analyzed. …”
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