Differentiated response mechanisms of soil microbial communities to nitrogen deposition driven by tree species variations in subtropical planted forests by Zheng Hou, Zheng Hou, Zheng Hou, Zheng Hou, Wen Chen, Xiaohua Zhang, Xiaohua Zhang, Donghui Zhang, Jinmei Xing, Yong Ba, Yong Ba, Yong Ba, Jie Yu, Jie Yu, Jie Yu, Keqin Wang, Ya Zhang, Ya Zhang, Ya Zhang, Yali Song

“…Although nitrogen deposition is increasing globally, the responses of soil microbial communities in subtropical planted forests remain inadequately studied.MethodsIn this study, a four-year experimental simulation was conducted to assess the impacts of varying nitrogen deposition levels (CK: 0 g·N·m−2·a−1; N10: 10 g·N·m−2·a−1; N20: 20 g·N·m−2·a−1; N25: 25 g·N·m−2·a−1) on two subtropical tree species, Pinus yunnanensis Franch. and Pinus armandii Franch. …”
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Sensitivity Analysis of Soil Hydraulic Parameters for Improved Flow Predictions in an Atlantic Forest Watershed Using the MOHID-Land Platform by Dhiego da Silva Sales, Jader Lugon Junior, David de Andrade Costa, Renata Silva Barreto Sales, Ramiro Joaquim Neves, Antonio José da Silva Neto

“…This study focuses on a representative Atlantic Forest watershed. It assesses the sensitivity of channel flow to VGM parameters using a mathematical approach based on residuals derivative, aimed at enhancing soil calibration efficiency for MOHID-Land. …”
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Simulation of Coupled Fire/Atmosphere Interaction with the MesoNH-ForeFire Models by Jean-Baptiste Filippi, Frédéric Bosseur, Xavier Pialat, Paul-Antoine Santoni, Susanna Strada, Céline Mari

“…Simulating interaction between forest fire and atmospheric processes requires a highly detailed and computationally intensive model. …”
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Research on Camouflage Recognition in Simulated Operational Environment Based on Hyperspectral Imaging Technology by Donge Zhao, Shuyan Liu, Xuefeng Yang, Yayun Ma, Bin Zhang, Wenbo Chu

“…Hyperspectral imaging technology can obtain the spatial information and spectral information of the simulated operational background and its camouflage materials at the same time and identify and classify them according to their differences. …”
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Snowdrift‐Permitting Simulations of Seasonal Snowpack Processes Over Large Mountain Extents by Christopher B. Marsh, Zhibang Lv, Vincent Vionnet, Phillip Harder, Raymond J. Spiteri, John W. Pomeroy

“…Snowdrift‐permitting models have been proposed as a way to accurately simulate snowpack heterogeneity that stems from differences in energy inputs, over winter redistribution, sublimation, melt, and variations in precipitation. …”
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Assessment of infiltration and erosion rates in Mediterranean reservoirs’ catchments through rainfall simulation by Jorge Mongil-Manso, Carmen Patino-Alonso, José Nespereira-Jato, José-Luis Molina, Fernando Espejo, Teresa Diez-Castro, Santiago Zazo, Fernando Silla

“…This study is mainly aimed to improve the knowledge of these processes in southeastern Spain by means of experimental rainfall simulation and multivariate statistical analysis. The results show that the mean infiltration rate is 1.06 times higher in forests than in shrublands and 1.07 times higher than in olive crops (280.52, 265.02, and 262.08 mm/h, respectively), with mean surface runoff consequently 1.57 times lower in forests than in shrublands and 2.41 times lower than in olive crops (20.81, 32.58, and 50.24 mm/h). …”
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Simulating the Role of Biogeochemical Hotspots in Driving Nitrogen Export From Dryland Watersheds by Jianning Ren, Erin J. Hanan, Aral Greene, Christina Tague, Alexander H. Krichels, William D. Burke, Joshua P. Schimel, Peter M. Homyak

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Detecting Vegetation Stress in Mixed Forest Ecosystems Through the Joint Use of Tree‐Water Monitoring and Land Surface Modeling by C. D. Jiménez‐Rodríguez, G. Fabiani, R. Schoppach, K. Mallick, S. J. Schymanski, M. Sulis

“…The detection of vegetation drought stress is further complicated by the mixing of different tree species and forest patches. This study uses the Community Land Model version 5.0 to simulate an experimental mixed‐forest catchment with configurations representing standalone, patched mixed, and fully‐mixed forests. …”
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A random-forest-derived 35-year snow phenology record reveals climate trends in the Yukon River Basin by C. G. Pan, K. Lasko, S. P. Griffin, J. S. Kimball, J. Du, T. G. Meehan, P. B. Kirchner

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Artificially increasing atmospheric nitrogen deposition does not stimulate growth of Picea mariana (Mill.) BSP in the Canadian boreal forest by Scisci E, Ravaioli D, Rossi S, Guerrieri R

“…This study tested the hypothesis that tree growth in boreal forests would increase with the simulated increase in N deposition. …”
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Influence of boreal forest disturbance and conspecific attraction on the Canada Warbler ( Cardellina canadensis ) habitat choices during the breeding season by Vianney J Cupiche-Herrera, Brian E. McLaren, Alana R. Westwood

“…We tested the influence of conspecific attraction and habitat disturbance on habitat choices of the Canada Warbler ( Cardellina canadensis , CAWA) in forested landscapes that include managed and protected areas. …”
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100 s -level particle accelerators driven by high-density electron beams in micro structured carbon nanotube forest channel by Bifeng Lei, Hao Zhang, Cristian Bonţoiu, Alexandre Bonatto, Javier Resta-López, Guoxing Xia, Bin Qiao, Carsten Welsch

“…In this study, we explore the feasibility of using nanostructured CNTs forest to develop plasma-based accelerators at the $100\,\mathrm s\,\mathrm{TeV}$ -level, driven by high-density, ultra-relativistic electron beams, using fully three-dimensional particle-in-cell simulations. …”
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A Novel Forest Dynamic Growth Visualization Method by Incorporating Spatial Structural Parameters Based on Convolutional Neural Network by Linlong Wang, Huaiqing Zhang, Kexin Lei, Tingdong Yang, Jing Zhang, Zeyu Cui, Rurao Fu, Hongyan Yu, Baowei Zhao, Xianyin Wang

“…The results show that: first, spatial structural parameters C and U have a certain contribution to the forest growth, and C and U can explain 21.5&#x0025;, 15.2&#x0025;, and 9.3&#x0025; of the variance in DBH, H, and CW growth models, respectively; second, CNN model outperformed machine learning algorithms SVR, MARS, Cubist, RF, and XGBoost in terms of prediction performance; third, based on FDGVM-CNN-SSP, we simulated Chinese fir plantations at individual tree level and stand level from 2018 to 2022 and found that DBH and H&#x0027;s fitting performance in measured and predicted data was highly consistent with <italic>R</italic>² and root-mean-square error (RMSE) of 86.8&#x0025;, 2.06 cm in DBH and 79.2&#x0025;, 1.11 m in H, but CW&#x0027;s <italic>R</italic>² and RMSE of 72.2&#x0025;, 0.65 m caused crowding (C) inconsistency.…”
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Coupling Remote Sensing With a Process Model for the Simulation of Rangeland Carbon Dynamics by Yushu Xia, Jonathan Sanderman, Jennifer D. Watts, Megan B. Machmuller, Andrew L. Mullen, Charlotte Rivard, Arthur Endsley, Haydee Hernandez, John Kimball, Stephanie A. Ewing, Marcy Litvak, Tomer Duman, Praveena Krishnan, Tilden Meyers, Nathaniel A. Brunsell, Binayak Mohanty, Heping Liu, Zhongming Gao, Jiquan Chen, Michael Abraha, Russell L. Scott, Gerald N. Flerchinger, Patrick E. Clark, Paul C. Stoy, Anam M. Khan, E. N. Jack Brookshire, Quan Zhang, David R. Cook, Thomas Thienelt, Bhaskar Mitra, Marguerite Mauritz‐Tozer, Craig E. Tweedie, Margaret S. Torn, Dave Billesbach

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Experimental analysis of the effect of forest litter cover on surface soil water dynamics under continuous rainless condition in North China by Ziqiang Xing, Denghua Yan, Daoyuan Wang, Shanshan Liu, Guoqiang Dong

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Species Diversity, Growth, Status, and Biovolume of Taia River Riparian Forest in Southern Sierra Leone: Implications for Community-Based Conservation by Moses Fayiah, Baimba F. Kallon, Shikui Dong, Mathew S. James, Sanjay Singh

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Estimation of the Total Amount of Enhanced Rainfall for a Cloud Seeding Experiment: Case Studies of Preventing Forest Fire, Drought, and Dust by Yonghun Ro, Ki-Ho Chang, Sanghee Chae, Yun-Kyu Lim, Jung Mo Ku, Woonseon Jung

“…Water resources that could be secured through cloud seeding were also quantified for the experiments on forest fire prevention, drought mitigation, and dust reduction in 2020. …”
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A Novel 3D Printed Simulator to Teach Metacarpal Fixation with Kirschner Wires by Michael K. Boyajian, MD, Michael K. Boyajian, MD, Eric Zeng, BS, Michael F. Reynolds, MD, Christopher M. Runyan, MD, PhD, Kyle E. Robinson, MD

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Intensive moose browsing and small-scale domestic woodcutting impacts on forest successional trajectories in Gros Morne National Park, Canada by Shannon White, Xinbiao Zhu, Fanrui Meng, Scott Taylor, Charles P.-A. Bourque

“…Moose (Alces alces L.) browsing in Gros Morne National Park has damaged its balsam fir (Abies balsamea (L.) Mill.)-dominated forest. A forest estate model was used to evaluate (i) the impacts of moose browsing and woodcutting on forest succession and (ii) strategies of forest restoration through planting and moose population management. …”
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Emulating grid-based forest carbon dynamics using machine learning: an LPJ-GUESS v4.1.1 application by C. Natel, D. M. Belda, P. Anthoni, N. Haß, S. Rabin, A. Arneth

“…<p>The assessment of forest-based climate change mitigation strategies relies on computationally intensive scenario analyses, particularly when dynamic vegetation models are coupled with socioeconomic models in multi-model frameworks. …”
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