Video Spectral Methods and Tools for Monitoring of Controlled Parameters of Forest Fires and Oil Spill Accidents by A. S. Sizikov, Y. V. Belyaev, I. M. Tsykman, A. P. Popkov

“…Its purpose, composition and main technical parameters were indicated.Spectral-polarization studies of the characteristics of samples that simulates objects (pollution) of natural (forest fires) and man-made (oil spills) emergencies were performed with the help of complex “Vizir” using polarizing nozzles under various conditions (angles of illumination, observation, pollution concentration, the time that passed since the contamination, the degree of wood thermal damage). …”
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Predator occupancy rates in a thinned ponderosa pine forest, Arizona: A pilot study by Kevin J. Barrett, Elizabeth L. Kalies, Carol L. Chambers

“…Abstract Throughout northern Arizona, USA, forest thinning in ponderosa pine (Pinus ponderosa) forests has become a common practice to reduce the threat of stand‐replacing wildfire and to increase plant and animal diversity across the landscape. …”
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Random forest models highlight early Homo sapiens habitats and their relationship to lithic assemblage composition by Lucy Timbrell, James Blinkhorn, Matt Grove

“…We use an eco-cultural niche modelling approach to evaluate the importance of different environmental and geographical variables in determining where early humans could have lived, and the impact of habitat suitability on different aspects of the eastern African MSA lithic record. We apply random forests, a powerful and highly flexible machine-learning tool for niche modelling, in combination with palaeoclimatic simulations at high temporal resolution. …”
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Urban Greenprint: A Decision Support Tool for Optimizing Urban Forest Strategies in Sustainable Cities by Marco di Cristofaro, Federico Valerio Moresi, Mauro Maesano, Bruno Lasserre, Giuseppe Scarascia-Mugnozza

“…Urban forests (UFs) play a crucial role in mitigating climate change, but their management presents complex trade-offs between environmental, economic, and social aspects. …”
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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

“…Future studies should adopt canopy-level nitrogen and water addition to better simulate the impacts of global environmental change.…”
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How low-abundance amphibians shape functional diversity across tropical forest succession stages? by Fabio Zabala-Forero, Angela M. Cortés-Gómez, Nicolás Urbina-Cardona

“…We applied trait probability density (TPD) analysis at the assemblage level and functional rarity indices (Scarcity and Functional Distinctiveness) at the species level. By simulating scenarios of low-abundance species loss, we assessed changes in functional diversity metrics—such as richness, evenness, divergence, and redundancy—across three vegetation types: mature forest, secondary forest, and abandoned mixed crops. …”
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A population spatialization method based on the integration of feature selection and an improved random forest model. by Zhen Zhao, Hongmei Guo, Xueli Jiang, Ying Zhang, Changjiang Lu, Can Zhang, Zonghang He

“…Ascertaining the precise and accurate spatial distribution of population is essential in conducting effective urban planning, resource allocation, and emergency rescue planning. The random forest (RF) model is widely used in population spatialization studies. …”
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Competition and temperature could drive radial growth of Schima superba in humid subtropical forests of China by Ziru Niu, Shaowei Jiang, Juan Li

“…Competition and climate are two crucial factors influencing tree growth, particularly in densely populated and canopy-closed forests. The Chinese subtropical evergreen broadleaved forest, a region with a high net carbon sink rate, is currently experiencing climatic warming and changes in precipitation patterns that may increase aridity and alter stand structure. …”
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Forested Natura 2000 sites under climate change: effects of tree species distribution shifts by A. Reichmuth, A. Reichmuth, I. Kühn, I. Kühn, I. Kühn, A. Schmidt, A. Schmidt, D. Doktor, D. Doktor, D. Doktor

“…This has various effects on forest ecosystems. Forests have a slow dynamic compared to other ecosystems and are affected severely by tree species distribution shifts. …”
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Theoretical and simulation analysis of a rectangular crack in the piezoelectric material by Yani Zhang, Junlin Li

“…Finally, The random forest machine learning and response surface method are used for the first time to study rectangular cracks in piezoelectric materials.A random forest regression model is applied to predict the data, and from the residual scatter plot provided, the accuracy of the prediction model is found to be high. …”
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Spatiotemporal Evolution and Simulation of Future Landscape Patterns in Zhangjiajie City by Yang Xueqing, Zhang Xiongyi, Ning Jia, Li Yuefeng

“…We also recommend maintaining the dominant landscape of forest land, optimizing the layout of construction land, reducing the fragmentation of forest land and construction land, and protecting the integrity of the grassland ecosystem.…”
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Predicting impacts of climate change on the aboveground carbon sequestration rate of a temperate forest in northeastern China. by Jun Ma, Yuanman Hu, Rencang Bu, Yu Chang, Huawei Deng, Qin Qin

“…On the community level, the ACSR of mixed Korean pine hardwood forests and mixed larch hardwood forests, fluctuated during the entire simulation, while a large decline of ACSR emerged in interim of simulation in spruce-fir forest and aspen-white birch forests, respectively. …”
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Toward Improved Simulations of Disruptive Reservoirs in Global Hydrological Modeling by P. K. Shrestha, L. Samaniego, O. Rakovec, R. Kumar, C. Mi, K. Rinke, S. Thober

“…Abstract Accurate simulation of reservoirs has been a challenge for global hydrological models due to highly discontinuous water management and uncertainties in reservoir shape representation. …”
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Modeling the spread of forest fires through cellular automata by leveraging deep learning to derive transition rules by Zucheng Zhou, Quanli Xu, Junhua Yi, Youyou Li, Shiying Zhang, Wenhui Li

“…Predicting forest fire spread using simulation models is crucial for the effective management of forest fires. …”
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Random-forest-based task pricing model and task-accomplished model for crowdsourced emergency information acquisition by Wenxiang Li, Shengqun Chen, Lijin Lin, Li Chen

“…A task price is a significant potential factor that influences public participation. Therefore, a random forest algorithm-based task pricing model and task-accomplished model are computed based on the task attributes and neighboring-workers attributes. …”
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Construction of prediction model for water retention of forest ecosystem in alpine region based on vegetation spectral features by Teng Niu, Zhongze Hou, Jiaxin Yu, Jie Lu, Qiang Yu, Linzhe Yang, Jun Ma, Yafei Liu, Hui Shi, Xuyang Jin

“…According to the regression model corresponding to each kind of vegetation, the water retention prediction model is composed, and the simulation accuracy is tested by R2 and RMSE. The overall simulation accuracy R2 is greater than 0.7 and the RMSE is basically less than 10 t·hm−2, indicating that the forecasting model has a good forecasting effect and the model can effectively estimate the water retention of the forest ecosystem.…”
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Impact of Data Distribution and Bootstrap Setting on Anomaly Detection Using Isolation Forest in Process Quality Control by Hyunyul Choi, Kihyo Jung

“…This study investigates the impact of data distribution and bootstrap resampling on the anomaly detection performance of the Isolation Forest (iForest) algorithm in statistical process control. …”
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Fault Diagnosis of Axial Piston Pump Based on Extreme-Point Symmetric Mode Decomposition and Random Forests by Lei Yafei, Jiang Wanlu, Niu Hongjie, Shi Xiaodong, Yang Xukang

“…Aiming at fault diagnosis of axial piston pumps, a new fusion method based on the extreme-point symmetric mode decomposition method (ESMD) and random forests (RFs) was proposed. Firstly, the vibration signal of the axial piston pump was decomposed by ESMD to get several intrinsic mode functions (IMFs) and an adaptive global mean curve (AGMC) on the local side. …”
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The relative data hungriness of unpenalized and penalized logistic regression and ensemble-based machine learning methods: the case of calibration by Peter C. Austin, Douglas S. Lee, Bo Wang

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Cumulative mortality effects on roe deer population dynamics in the boreal forest: Searching for pathways of population persistence by Cécile A.E. Carpentier, Marco Heurich, Olivier Gimenez, Olivier Devineau, John D.C. Linnell

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