Climate-change mitigation strategies at the level of a forestry company in the light of age-class legacy effects by Attila Borovics, Éva Király, Péter Kottek

“…The study analyzed age-class structure, wood mobilization potential, and future carbon balances to assess the climate change mitigation impacts of intensified harvesting. Methods We used the Forest Industry Carbon Model, a yield table-based tool specifically designed to integrate data from the Hungarian Forest Authority’s database and to simulate forest stand-based carbon stock changes, wood product carbon balances, and substitution effects. …”
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Long-term effects of forest growth dynamics and climate change on groundwater recharge and evapotranspiration in a steep catchment of western Japan by Rendilicha Halake Guyo, Kunyang Wang, Shin-ichi Onodera, Mitsuyo Saito, Toshitsugu Moroizumi

“…However, groundwater is a finite resource, and its sustainability is closely linked to recharge processes, which are influenced by forest growth dynamics as well as climate change. …”
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A robust and efficient approach to estimating the age of secondary mangrove forests employing time-series Landsat images and the CCDC model by Yue Zhang, Xiaoyan Li, Rong Zhang, Lina Cheng, Mingming Jia, Chuanpeng Zhao, Xianxian Guo, Haihang Zeng, Wensen Yu, Qian Shi, Zongming Wang

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Numerical simulation of bubble rising behavior in a tannin-based foaming precursor resin by Lan Huang, Haizhu Wu, Wenbin Yuan, Hisham Essawy, Guanben Du, Xiaojian Zhou, Xinyi Chen

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Land Use Optimization and Simulation in the Dongjiang River Basin with a Low-Carbon Orientation by He Yanhu, Wu Luyan, Lin Zeyu

“…Compared to the natural development scenario, the proportion of cultivated land under the two low-carbon scenarios decreased by approximately 4%-5%, construction land decreased by about 4%, and forest land increased by over 10%. It is evident that the carbon sink maximization scenario achieved a better low-carbon effect than the carbon emission minimization scenario, primarily because of the larger proportion of forest land. (3) The Dongjiang River Basin should enhance the utilization efficiency of cultivated and construction land, converting underutilized and unutilized land into areas with high carbon sequestration capacity, such as forests, or into land with lower carbon emissions to promote sustainable economic development. (4) Adding the location information of the administrative centers to the CA-Markov model can effectively improve the simulation accuracy of the model. …”
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Simulating Daily Large Fire Spread Events in the Northern Front Range, Colorado, USA by Matthew P. Thompson, Dung Nguyen, Christopher J. Moran, Joe Scott, Yu Wei, Bryce Young

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Numerical Simulation of Stress Wave Propagation in the Three-Layer Medium Structure of Standing Trees by Yingchun Gong, Jialei Qu, Haiqing Ren, Shubing Chen, Fenglu Liu

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Balancing Agricultural Productivity and Ecosystem Resilience: A Multi-Species Interaction and Simulation Framework by Peng Zijun, Duan Zehan, Wang Jinhai

“…To address these challenges, we constructed a dynamic balance model for forest, crop, and weed areas, incorporating plant density and growth parameters to simulate vegetation cover and land conversion. …”
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Bundled assessment to replace on-road test on driving function in stroke patients: a binary classification model via random forest by Lu Huang, Lu Huang, Xin Liu, Jiang Yi, Yu-Wei Jiao, Tian-Qi Zhang, Guang-Yao Zhu, Shu-Yue Yu, Zhong-Liang Liu, Min Gao, Xiao-Qin Duan

“…The success group demonstrated fewer collisions (p < 0.001), lane violations (p < 0.001), and incorrect maneuvers (p < 0.001) when completing the simulated driving task. The random forest model for bundled assessment demonstrated an accuracy of > 83% based on 56 statistically distinct input data sets.ConclusionThe bundled assessment, which includes cognitive, eye tracking, motor, and simulated driver performance, offers a potential indicator of whether stroke patients may be able to pass the on-road test. …”
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FLAML version 2.3.3 model-based assessment of gross primary productivity at forest, grassland, and cropland ecosystem sites by J. Lai, J. Lai, Y. Zhang, A. Wang, W. Fei, Y. Diao, R. Li, J. Wu

“…Cross-validation analyses indicated that the FLAML-LUE model performs excellently in GPP prediction, accurately simulating both its temporal variations and magnitude, particularly in mixed forests and coniferous forests, with average <span class="inline-formula"><i>R</i>²</span> values for daily-scale simulations reaching 0.92 and 0.91, respectively. …”
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Long Dark Gaps in the Lyβ Forest at z < 6: Evidence of Ultra-late Reionization from XQR-30 Spectra by Yongda Zhu, George D. Becker, Sarah E. I. Bosman, Laura C. Keating, Valentina D’Odorico, Rebecca L. Davies, Holly M. Christenson, Eduardo Bañados, Fuyan Bian, Manuela Bischetti, Huanqing Chen, Frederick B. Davies, Anna-Christina Eilers, Xiaohui Fan, Prakash Gaikwad, Bradley Greig, Martin G. Haehnelt, Girish Kulkarni, Samuel Lai, Andrea Pallottini, Yuxiang Qin, Emma V. Ryan-Weber, Fabian Walter, Feige Wang, Jinyi Yang

“…By comparing the results to predictions from simulations, we find that the data are broadly consistent both with models where fluctuations in the Ly α forest are caused solely by ionizing ultraviolet background fluctuations and with models that include large neutral hydrogen patches at z < 6 due to a late end to reionization. …”
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The implementation of random survival forests in conflict management data: An examination of power sharing and third party mediation in post-conflict countries. by Andrew B Whetten, John R Stevens, Damon Cann

“…We provide a brief tutorial introduction to the random survival forest (RSF) algorithm and contrast it to a popular predecessor, the Cox proportional hazards model, with emphasis on methodological utility for political science researchers. …”
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Classifying metro drivers’ cognitive distractions during manual operations using machine learning and random forest-recursive feature elimination by Haiyue Liu, Yue Zhou, Chaozhe Jiang

“…The optimal input features are determined by a random forest and recursive feature elimination (RF-RFE) algorithm. …”
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Evaluation of Insects that Exploit Temporary Protein Resources Emphasizing the Action of Ants (Hymenoptera, Formicidae) in a Neotropical Semi-deciduous Forest by Luiz Carlos Santos-Junior, Juliana Martinho Saraiva, Rogério Silvestre, William Fernando Antonialli-Junior

“…To simulate exposure of protein resources we used three types of baits, sardines, beef liver and chicken. …”
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Forest soil respiration showed a saturation threshold in response to increasing nitrogen deposition: Evidence from a mesocosm experiment by Renshan Li, Xinkuan Han, Yanfeng Bai, Fangfang Zhang, Honggang Sun, Weidong Zhang, Qingpeng Yang, Silong Wang

“…Whether there is a N saturation threshold for the response of soil respiration (Rs) to increasing nitrogen (N) deposition remains unclear in forest ecosystems. In this work, a simulated N deposition experiment involving five levels of N addition (0 to 44.8 g N m−2 yr−1) was performed in a mesocosm experiment platform with young Chinese fir (Cunninghamia lanceolata) trees planted on it. …”
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Study of Changing Land Use Land Cover from Forests to Cropland on Rainfall: Case Study of Alabama’s Black Belt Region by Salem Ibrahim, Gamal El Afandi, Amira Moustafa, Muhammad Irfan

“…Utilizing the Weather Research and Forecasting (WRF) model, two scenarios were analyzed: the WRF Control Run, which maintained unchanged LULC, and the WRF Sensitivity Experiment, which converted 56.5% of forested areas into cropland to assess the impact on storm dynamics. …”
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Different dry-wet pulses favor different functional strategies: A test using tropical dry forest tree species. by Flor Vega-Ramos, Lucas Cifuentes, Fernando Pineda-García, Todd Dawson, Horacio Paz

“…We assessed the survival and growth responses of seedlings from 19 tropical dry forest tree species to simulated natural dry-wet pulse scenarios, examining their relationships with the continuum of species' functional strategies under field conditions, and used greenhouse experiments to accompany the field experiment. …”
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A novel topographic correction framework for detecting forest disturbance from annual wide-time-window Landsat time series by Yating Li, Shuai Li, Xiao Xu, Zhenzi Wu, Hui Fan

“…Topographic effects in mountainous forested regions disrupt the spectral consistency of remote sensing imagery, hindering accurate forest disturbance detection in Landsat time series acquired over wide time intervals (WTW-LTSs). …”
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A framework for upscaling aboveground biomass from an individual tree to landscape level and qualifying the multiscale spatial uncertainties for secondary forests by Ye Ma, Jungho Im, Zhen Zhen, Yinghui Zhao

“…Secondary forests, a typical forest type in the sub-frigid zone of Northeast China, have significant potential for carbon sequestration. …”
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Towards global spaceborne lidar biomass: Developing and applying boreal forest biomass models for ICESat-2 laser altimetry data by A. Neuenschwander, L. Duncanson, P. Montesano, D. Minor, E. Guenther, S. Hancock, M.A. Wulder, J.C. White, M. Purslow, N. Thomas, A. Mandel, T. Feng, J. Armston, J.R. Kellner, H.E. Andersen, L. Boschetti, P. Fekety, A. Hudak, J. Pisek, N. Sánchez-López, K. Stereńczak

“…Using a suite of field measurements with contemporaneous airborne lidar data over boreal forests, ICESat-2 photons were simulated over many field sites and the impact of two methods of computing relative height (RH) metrics on AGBD at a 30 m along-track spatial resolution were tested; with and without ground photons. …”
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