Response Analysis of Terrestrial Water Storage Components to Drought Based on Random Forests During 2011–2020 in Yunnan, China by Ziang Zhu, Qian Zhao, Rongzi Chai

“…We also applied random forest to simulate the contribution rates of each TWS component to drought in other regions of China. …”
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Adsorption/desorption processes dominate the soil P fractions dynamic under long-term N/P addition in a subtropical forest by Cheng Peng, Senhao Wang, Yijing Zhu, Andi Li, Guangcan Yu, Qinggong Mao, Mianhai Zheng, Juan Huang, Xiangping Tan, Jiangming Mo, Wei Zhang

“…In this study, in a subtropical forest subjected to 13 years of continuous simulated N and/or P addition, we investigated the response of soil P fractions by modified Hedley P fractionation to long-term fertilization, and how soil geochemical including absorption or desorption with Fe3+, Al3+ and biological processes such as mineralization by phosphatase and assimilation by microorganisms regulate P transformation. …”
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A hybrid fuzzy logic–Random Forest model to predict psychiatric treatment order outcomes: an interpretable tool for legal decision support by Alexandre Hudon, Alexandre Hudon, Alexandre Hudon, Alexandre Hudon

“…This score, along with structured features, was used to train a Random Forest classifier. Model performance was evaluated using accuracy, precision, recall and F1 score. …”
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Modelling decadal trends and the impact of extreme events on carbon fluxes in a temperate deciduous forest using a terrestrial biosphere model by T. Thum, T. Miinalainen, T. Miinalainen, O. Seppälä, H. Croft, C. Rogers, R. Staebler, S. Caldararu, S. Zaehle

“…In this work, we use in situ measurements of leaf chlorophyll content (Chl<span class="inline-formula">_Leaf</span>, 2013–2016) and the leaf area index (LAI, 1998–2018) to parameterize the seasonal dynamics of the QUINCY (QUantifying Interactions between terrestrial Nutrient CYcles and the climate system) terrestrial biosphere model (TBM) to simulate the carbon fluxes at the Borden Forest Research Station flux tower site, Ontario, Canada, over 22 years from 1996 to 2018. …”
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A Model of the Ectomycorrhizal Contribution to Forest Soil C and N Dynamics and Tree N Supply Within the EFIMOD3 Model System by Oleg Chertov, Pavel Frolov, Vladimir Shanin, Irina Priputina, Sergey Bykhovets, Anna Geraskina

“…The model validation showed a satisfactory agreement between simulated and observed data in relation to EMM respiration in larch forest plantations of different ages. …”
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Spatiotemporal variation characteristics of ecosystem carbon storage in Zhengzhou and future multi-scenario simulation prediction by Lei Li, Fuhao Li, Qingsong Li, Guangxing Ji, Yulong Guo, Meng Li, Genming Li, Weiqiang Chen

“…Based on land use data and CMIP6 data, the study simulated land use types from 2030 to 2050 through plus model. …”
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Transitioning from Simulation to Reality: Applying Chatter Detection Models to Real-World Machining Data by Matthew Alberts, Sam St. John, Simon Odie, Anahita Khojandi, Bradley Jared, Tony Schmitz, Jaydeep Karandikar, Jamie B. Coble

“…The primary goal of this study is to bridge the gap between simulation-based machine learning models and real-world applications by developing and validating a Random Forest-based chatter detection system. …”
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Multi-Model Simulations of a Mediterranean Extreme Event: The Impact of Mineral Dust on the VAIA Storm by Tony Christian Landi, Paolo Tuccella, Umberto Rizza, Mauro Morichetti

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Use of the LCM Model in the prospective simulation of land use in the Nafoun watershed (Northern Ivory Coast) by Kamagate Anzoumanan, Koffi Ehouman Serge, Koffi Yao Blaise

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Solving Simulated Imbalanced Body Performance Data using A-SUWO and Tomek Link Algorithm by Febryan Grady, Joel Rizky Wahidiyat, Abba Suganda Girsang

“…This research addresses that gap by simulating an imbalanced dataset from an originally balanced dataset, obtaining a target reference point for evaluating the effectiveness of the sampling methods. …”
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Exploring the Impact of Climate Variables and Scenario Simulation on Ecosystem Service Value Profits and Losses in China by Dahai Yu, Chang You

“…The research findings are as follows: (1) From 1990 to 2020, and extending to simulated projections for 2030, China’s ESV exhibits a high distribution pattern in the southern regions. …”
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Ecosystem Services Trade-Offs in the Chaohu Lake Basin Based on Land-Use Scenario Simulations by Aibo Jin, Gachen Zhang, Ping Ma, Xiangrong Wang

“…The ND scenario led to significant declines in cropland (3.73%) and forest areas (0.18%), primarily due to construction land expansion. …”
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Investigation of Spatio-Temporal Simulation of Mining Subsidence and Its Determinants Utilizing the RF-CA Model by Jikun Xu, Chaode Yan, Baowei Zhang, Xuanchi Chen, Xu Yan, Rongxing Wang, Binhang Yu, Muhammad Waseem Boota

“…Thus, a novel spatio-temporal subsidence simulation model is proposed that couples random forest (RF) and cellular automaton (CA) models, which are used to quantify the contributions of driving factors and simulate the spatio-temporal dynamic changes in subsidence. …”
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Subtropical lichens from the Afromontane can display rapid photosynthetic acclimation to simulated climate change by N.T. NDHLOVU, T.N. KHUZWAYO, F.V. MINIBAYEVA, R.P. BECKETT

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Application of numerical simulation method integrated SfM-UAV to tsunami hazard map in Jailolo by Rohima W. Ningrum, Wiwit Suryanto, Wahyudi Wahyudi, Sholihun Sholihun, Mohammad R. Lessy, Dimas Oryza, Market Sofian, Wiji Raharjo, Marwis Aswan, Risky N. Amelia

“…The affected areas include settlements, agriculture and mangrove forests. In conclusion, the integration of UAV-based SfM photogrammetry and numerical simulations effectively produces high-precision tsunami hazard maps. …”
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Numerical Analysis of a TCR Adaptive to Different Tree Diameters for Unstructured Forest Environment: A TCR of Variable Diameter with Different Tree Diameters by Zhe Wu, Xigui Wang, Zhiqin Zhang

“…This paper proposes the optimal design and simulation analysis of a robot for tree-climbing, which has the ability to climb up the tree trunk to adapt to different tree diameter changes. …”
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Comparison of forest canopy gap fraction measurements from drone-based video frames, below-canopy hemispherical photography, and airborne laser scanning by Mait Lang, Mikk Antsov, Andres Mumma, Indrek Suitso, Andres Kuusk, Kaarel Piip

“…The amount of gaps in forest canopy is related to the radiation interception for photosynthesis and visibility through the canopy. …”
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Land cover, more than monthly fire weather, drives fire-size distribution in Southern Québec forests: Implications for fire risk management. by Jean Marchal, Steve G Cumming, Eliot J B McIntire

“…Fire activity in North American forests is expected to increase substantially with climate change. …”
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Performance Evaluation of Beluga Whale Optimization–Long Short-Term Memory–Random Forest Networks for Trajectory Control and Energy Optimization in Excavator Systems by Van Hien Nguyen, Kyoung Kwan Ahn

“…To tackle these issues, our study proposes a sophisticated dynamic forecasting model for positional control, integrating beluga whale optimization (BWO), long short-term memory (LSTM), and random forest (RF) techniques. The approach begins with dynamic data evaluation using Pearson’s correlation analysis to identify tuning parameters that have moderate to strong correlations with control variables, which are then used as inputs for predictive modeling. …”
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Downscaling air temperatures for high-resolution niche modeling in a valley of the Amazon lowland forests: A case study on the microclima R package. by M J Pohl, L Lehnert, B Thies, K Seeger, M B Berdugo, S R Gradstein, M Y Bader, J Bendix

“…However, it is unclear how well the elevation-related diurnal course of air temperature can be simulated. Here, we test functions for downscaling coarse-resolution temperature data to high spatial resolution data implemented in the R-package microclima for the South American tropical lowland forests. …”
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