Carbon stock in calophyllum inophyllum provenances from eight islands in Indonesia: associate soil physicochemical properties and litter fiber content by Tri Maria Hasnah, Eko Hanudin, Budi Leksono, Syed Ajijur Rahman, Benito Heru Purwanto, Eritrina Windyarini, Agus Muhamad Maulana, Himlal Baral

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Point-of-care diagnostics and resistance phenotyping to combat ash dieback by Pierluigi Bonello, Anna O. Conrad, Dušan Sadiković, Mateusz Liziniewicz, Michelle Cleary

“…Non-destructive tree phenotyping for resistance screening and early, presymptomatic disease detection figures prominently among the most important practical limitations inherent in forest health management. The need for point-of-care tools is particularly acute for managing diseases caused by non-native pathogens, often resulting in difficult-to-control biological invasions. …”
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AGB carbon stock analysis in the Indigenous agroforestry of the Ecuadorian Amazon: Chakra and Aja as Natural Climate Solutions by Paulina Álava-Núñez, Bolier Torres, Miguel Castro, Marco Robles

“…This sampling was implemented with a 95% confidence interval and a 10% error margin. Additionally, two other land uses (primary forest and an expert-identified best agroforestry - Model Chakra) were included, although they were not statistically defined. …”
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Biomass and Volume Models Based on Stump Diameter for Assessing Degradation of Miombo Woodlands in Tanzania by Bernardol John Manyanda, Wilson Ancelm Mugasha, Emannuel F. Nzunda, Rogers Ernest Malimbwi

“…Models to estimate forest degradation in terms of removed volume and biomass from the extraction of wood fuel and logging using stump diameter (SD) are lacking. …”
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Development of a Short-Range Multispectral Camera Calibration Method for Geometric Image Correction and Health Assessment of Baby Crops in Greenhouses by Sabina Laveglia, Giuseppe Altieri, Francesco Genovese, Attilio Matera, Luciano Scarano, Giovanni Carlo Di Renzo

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Correction to: Ophiostomatoid fungi associated with Ips subelongatus, including eight new species from northeastern China by Zheng Wang, Ya Liu, Huimin Wang, Xianjing Meng, Xuewei Liu, Cony Decock, Xingyao Zhang, Quan Lu

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Quality assured spatial dataset of wildfire containment firelines and engagement outcomes 2017 to 2024 by Alexander Arkowitz, Scott M. Ritter, Matthew P. Thompson, Jesse D. Young, Brad Pietruszka, David E. Calkin

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On the measurement of microclimate by Ilya M. D. Maclean, James P. Duffy, Stef Haesen, Sanne Govaert, Pieter De Frenne, Thomas Vanneste, Jonathan Lenoir, Jonas J. Lembrechts, Marcus W. Rhodes, Koenraad Van Meerbeek

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Remotely geolocating static events observed by citizens using data collected by mobile devices by Jacinto Estima, Ismael Jesus, Cidália C. Fonte, Alberto Cardoso

“…While most research has focused on GNSS-based positioning errors, compass-based orientation errors have received far less attention. …”
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Measuring the dynamic wind load acting on standing trees in the field without destroying them. by Satoru Suzuki, Ayana Miyashita

“…Wind loads are a factor in tree growth, tree architecture, and the occurrence of disasters and forest disturbances, e.g., tree falls. To understand forest ecosystems and manage forests effectively, it is necessary to understand the relationship between wind loads and trees. …”
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A tree crown edge-aware clipping algorithm for airborne LiDAR point clouds by Shangshu Cai, Yong Pang

“…Dividing a forest point cloud dataset into tiles is a common practice in point cloud processing (e.g., individual tree segmentation), aimed at addressing memory constraints and optimizing processing efficiency. …”
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Use of Machine Learning to Predict California Bearing Ratio of Soils by Semachew Molla Kassa, Betelhem Zewdu Wubineh

“…From these evaluation metrics, the random forest algorithm gets a smaller error and larger relative error (R2) value to compare with other algorithms. …”
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Refining satellite laser altimetry geolocation through full-waveform radiative transfer modeling and matching by Ameni Mkaouar, David Shean, Tiangyang Yin, Christopher S.R. Neigh, Rodrigo Vieira Leite, Paul M. Montesano, Abdelaziz Kallel, Jean-Phillipe Gastellu-Etchegorry

“…We evaluated this method across various sites with different forest canopy types, finding strong correlations between simulated and observed GEDI waveforms (r2∈[0.94,0.99]) and root mean square errors (RMSE) ∈[0.14,0.63]. …”
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An Improved Tree Crown Delineation Method Based on a Gradient Feature-Driven Expansion Process Using Airborne LiDAR Data by Jiaxuan Jia, Lei Zhang, Kai Yin, Uwe Sörgel

“…The erroneous situation of “match but over-grow” is significantly reduced, regardless of forest conditions. Compared to other methods, our method demonstrates a notable increase in the precisely matched rate across different plot types, with an average increase of 25% in broadleaf plots, 18% in coniferous plots, 23% in mixed plots, 15% in high-density plots, and 32% in medium-density plots, without increasing over- and under- segmentation errors. …”
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Meat attachment or health awareness? Understanding the factors influencing the consumption of local red meat in Italy by Riccardo Testa, Francesco Vella, Giuseppina Rizzo, Giorgio Schifani, Giuseppina Migliore

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Evaluating LiDAR technology for accurate measurement of tree metrics and carbon sequestration by Suradet Tantrairatn, Auraluck Pichitkul, Nutchanan Petcharat, Pawarut Karaked, Atthaphon Ariyarit

“…The method is as follows: • Three measurement methods were compared: conventional techniques using diameter tape and hypsometers, manual LiDAR measurements, and automated measurements using 3D Forest Inventory software with the CloudCompare plugin. • The Mean Absolute Percentage Error (MAPE) for carbon sequestration was 4.276 % for manual LiDAR measurements and 6.901 % for the 3D Forest Inventory method. • Root Mean Square Error (RMSE) values for carbon sequestration using LiDAR measurements were 33.492 kgCO2e, whereas RMSE values for the 3D Forest Inventory method were significantly higher. …”
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Advanced hybrid machine learning based modeling for prediction of properties of ionic liquids at different temperatures by Saud Bawazeer

“…Considering the MAPE error rate, DT, ET, and RF have errors of 4.59E-02, 2.05E-02, and 2.59E-02, respectively. …”
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Design and Initial Validation of an Infrared Beam-Break Fish Counter (‘Fish Tracker’) for Fish Passage Monitoring by Juan Francisco Fuentes-Pérez, Marina Martínez-Miguel, Ana García-Vega, Francisco Javier Bravo-Córdoba, Francisco Javier Sanz-Ronda

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Fuzzy One-Class Classification Model Using Contamination Neighborhoods by Lev V. Utkin

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Boreal tree species classification using airborne laser scanning data annotated with harvester production reports, and convolutional neural networks by Raul de Paula Pires, Christoffer Axelsson, Eva Lindberg, Henrik Jan Persson, Kenneth Olofsson, Johan Holmgren

“…The ALS data were acquired in managed Norway spruce-dominated forests in southern Sweden using a dual-wavelength system composed by two monochromatic sensors. …”
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