Overcoming cloud obstruction: Fast forest-damage assessment in post-tropical cyclone optical remote sensing by Tianchu Wang, Wentao Yang, Ziteng Xu, Wenwen Qi, Liam Taylor, Ming Wang, Wei Wu

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Multi-Target Firefighting Task Planning Strategy for Multiple UAVs Under Dynamic Forest Fire Environment by Pei Zhu, Shize Jiang, Jiangao Zhang, Ziheng Xu, Zhi Sun, Quan Shao

“…The frequent occurrence of forest fires in mountainous regions has posed severe threats to both the ecological environment and human activities. …”
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Response of Soil Respiration to Snowfall in a Kubuqi Salix Plantation Forest of During Freeze-thaw Period by WANG Jixuan, LAN Xiaozhen, PEI Zhiyong, ZHANG Junyao, WANG Xinping, LI Ying, WANG Haichao, SUN Xiaotian, SUN Kai

“…[Methods] Soil respiration rates of salix plantations that were untouched and unlevelled stubble (ww), untouched and levelled stubble (wp), untouched and unlevelled stubble (zw), and levelled and levelled stubble (zp) were measured in the snow-free treatment by using the Li-6800 soil-carbon-water flux measurement chamber in the Salix Forest Germplasm Resource Bank of the Dalate Banner, Ordos, Inner Mongolia, and the atmospheric temperature, soil temperature and humidity were measured simultaneously. …”
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Identification of novel functional compounds from forest onion and its biological activities against breast cancer by Fahrul Nurkolis, Isma Kurniatanty, Elvan Wiyarta, Happy Kurnia Permatasari, Nelly Mayulu, Nurpudji Astuti Taslim, Raymond Rubianto Tjandrawinata, Hardinsyah Hardinsyah, Trina Ekawati Tallei, Apollinaire Tsopmo, Son Radu, Edwin Hadinata, Bonglee Kim, Rosy Iara Maciel Azambuja Ribeiro, Rony Abdi Syahputra

“…A natural resource with potential activity against breast cancer is forest onion, Eleutherine bulbosa (Mill.) Urb., but the identity of its active constituents and their mechanisms of action remain unexplored. …”
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Modeling of CO₂ Efflux from Forest and Grassland Soils Depending on Weather Conditions by Sergey Kivalov, Irina Kurganova, Sergey Bykhovets, Dmitriy Khoroshaev, Valentin Lopes de Gerenyu, Yiping Wu, Tatiana Myakshina, Yakov Kuzyakov, Irina Priputina

“…The measured Tsoil, Tair, and P, as well as the litter (for forest) or sod (for grassland) horizon (modeled by the Soil SCLmate Statistical Simulator (SCLISS)), and soil temperatures (Tlit_m, Tsoil_m) and moistures (Mlit_m, Msoil_m), were used for SR simulation. …”
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Simulating carnivore movements: An occupancy–abundance relationship for surveying wolves by Nathan F. Webb, Evelyn H. Merrill

“…Abstract Where carnivore species exist at low densities, are cryptic, and inhabit forested habitats where detection is low, survey approaches commonly rely on observation of tracks. …”
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Vegetation Growth Simulation of the Community Land Model in the Southwest China by Lihuan WANG, Yaqiong LÜ, Ziyi WANG

“…Under the background of global warming， the temperature has increased frequently in the southwest， and the ecosystem in the southwest is vulnerable and sensitive to climate change in the past few decades.The southwest region is an important carbon sink area in China.Monitoring and simulation of vegetation variations is of great significance for an in-depth understanding of the carbon cycle mechanism and promoting sustainable economic development.Leaf Area Index （LAI） and Gross Primary Productivity （GPP）， as indicators of vegetation health and ecosystem stability， can be used to quantify vegetation studies and characterize dynamic changes of vegetation.Vegetation dynamic Model is one of the important means to study vegetation growth and change.Community Land Model （CLM） is one of the earliest land model with the function of vegetation dynamic simulation， the most developed and widely used land model in the world.Model evaluation is an indispensable part of model development， which provides a basis for model development and improvement.This study uses the Community Land Model version5 （CLM5） to simulate and analyze the spatial and temporal variations of the leaf area index （LAI） and total primary productivity （GPP） in the southwest region across 2000 -2016， and compare it with multiple sets of remote sensing data to evaluate LAI and GPP simulations of CLM5 in the southwest.The results showed that CLM5 could well simulate the seasonal variation of LAI and GPP in southwest China， but overestimated LAI in growing season.The CLM5 can reasonably simulate LAI of temperate deciduous broadleaf shrubs， LAI， GPP of alpine C3 meadow and GPP of C3 meadow.CLM5 could capture the spatial distribution pattern of LAI and GPP in the southwest， which is decreasing from southeast to northwest， but CLM5 overestimates LAI in the whole southwest region， especially in the karst landform area of Guizhou.Contrary to the overestimation of LAI simulation， CLM5's overall simulation of GPP in Southwest China is low， especially in Yunnan province.In addition， CLM5 has a poor simulation of LAI and GPP trend in the southwest.Especially in most parts of Yunnan， remote sensing data mainly shows an upward trend， while CLM5 simulation shows a downward trend.In a word， CLM5 can simulate the seasonal change and spatial distribution of LAI and GPP in the southwest， but the simulation of the trend in some areas of Yunnan and Guizhou is poor， and more in-depth parametric schemes for the development of farmland in Sichuan Basin， Yunnan forests， and karst vegetation in Guizhou are needed to improve the simulation.…”
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Stochastic Models Applied to the Forecasting and Management of Residual Woody Forest Biomass: Approaches, Challenges, and Practical Applications by Leonel J. R. Nunes

“…Stochastic models can be used for predicting the availability of residual woody forest biomass, considering the variability and uncertainty associated with climatic, operational, and economic factors. …”
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The fungal collaboration gradient drives root trait distribution and ecosystem processes in a tropical montane forest by M. Dantas de Paula, T. Reichert, L. F. Lugli, E. McGale, K. Pierick, K. Pierick, J. P. Darela-Filho, L. Langan, J. Homeier, J. Homeier, A. Rammig, T. Hickler, T. Hickler

“…Accounting for AMF-related belowground traits also affects simulated community leaf traits, suggesting linkages between below- and aboveground traits as AMF promotes more leaf-acquisitive traits. …”
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Validation of the vertical canopy cover profile products derived from GEDI over selected forest sites by Yu Li, Hongliang Fang, Yao Wang, Sijia Li, Tian Ma, Yunjia Wu, Hao Tang

“…The objective of this study is to validate the GEDI CC product over selected forest sites using reference values derived from digital hemispherical photography (DHP), airborne laser scanning (ALS) point clouds, and simulated waveforms. …”
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Rapid decline and mortality of a Pleistocene-aged forest now submerged in the northern Gulf of Mexico, USA by Grant L. Harley, Kristine L. DeLong, Marcus Lofverstrom, Carl Andy Reese, Ellen V. Bergan, Samuel J. Bentley, Kehui Xu, Kelli Moran, Karen E. King, Alicia Caporaso

“…—collected in situ from a recently exposed submerged forest in 18 m water depth in the northern Gulf of Mexico. …”
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An Improved Fault Diagnosis Method for Rolling Bearing Based on Relief-F and Optimized Random Forests Algorithm by Yueyi Yang, Jiabo Zhai, Haiquan Wang, Xiaobin Xu, Yabo Hu, Jinxia Wen

“…Then, an improved bee colony algorithm is proposed based on the simulated binary crossover criterion, which is used to optimize the key parameters of random forests (RF). …”
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Exploring the Impact of Nature-Based Solutions for Hydrological Extremes Mitigation in Small Mixed Urban-Forest Catchment by Lina Pérez-Corredor, Samuel Edward Hume, Mark Bryan Alivio, Nejc Bezak

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Edge Computing-Based Real-Time Forest Fire Detection Using UAV Thermal and Color Images by Lingxia Mu, Yichi Yang, Ban Wang, Youmin Zhang, Nan Feng, Xuesong Xie

“…Experiments based on self-made UAV dual-modal images of simulated fire scenarios and public datasets derived from real forest environments are conducted to validate the accuracy and speed of the proposed method. …”
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Machine Learning and SHAP-Based Analysis of Deforestation and Forest Degradation Dynamics Along the Iraq–Turkey Border by Milat Hasan Abdullah, Yaseen T. Mustafa

“…Utilizing paired remote sensing (RS) and high-end machine learning (ML) methods, forest dynamics were simulated from Sentinel-2 imagery, climate datasets, and topographic variables. …”
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Restoring Historic Forest Disturbance Frequency Would Partially Mitigate Droughts in the Central Sierra Nevada Mountains by E. N. Boardman, Z. Duan, M. S. Wigmosta, S. W. Flake, M. R. Sloggy, J. Tarricone, A. A. Harpold

“…By updating a distributed process‐based hydrological model (DHSVM) with vegetation maps from a distributed forest ecosystem model (LANDIS‐II), we simulate the water resource impacts of forest management scenarios targeting partial or full restoration of the pre‐colonial disturbance return interval in the central Sierra Nevada mountains. …”
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Impact of LiDAR pulse density on forest fuels metrics derived using LadderFuelsR by O. Viedma, J.M. Moreno

“…In this study, we evaluated how low-resolution LiDAR impacts forest vertical structure at the individual tree level by systematically thinning high-resolution LiDAR data to simulate typical pulse densities found in nationwide surveys. …”
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Ontario’s managed forests and harvested wood products contribute to greenhouse gas mitigation from 2020 to 2100 by Jiaxin Chen, Michael T. Ter-Mikaelian, Peter Q. Ng, Stephen J. Colombo

“…Forests and HWP were simulated from approximately 2010 to 2100, with carbon (C) stocks and emissions reported for the period 2020 to 2100. …”
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Sex-specific cardiovascular adaptations to simulated microgravity in Sprague-Dawley rats by Ebrahim Elsangeedy, Dina N. Yamaleyeva, Nicholas P. Edenhoffer, Allyson Deak, Anna Soloshenko, Jonathan Ray, Xuming Sun, Omar H. Shaltout, Nildris Cruz-Diaz, Brian Westwood, Daniel Kim-Shapiro, Debra I. Diz, Shay Soker, Victor M. Pulgar, April Ronca, Jeffrey S. Willey, Liliya M. Yamaleyeva

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Simulation and Experimental Study on the Shrub-Cutting Performance of Quasi-Planetary Cutter by Zikai Song, Xibin Dong, Chi Teng, Ben Guo, Jiawang Zhang, Yuchen Zhang

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