Changes in composition, diversity and structure of woody plants in successional stages of tropical dry forest in southwest Mexico by Roberto Carlos Almazán-Núñez, María Del Coro Arizmendi Arriaga, Luis Enrique Eguiarte Fruns, Pablo Corcuera y Martínez del Río

“…According to the polyclimax hypothesis, diversity of the mature forests appears to be influenced by local soil conditions, microclimates and biotic factors. …”
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Discrimination of Farming Practices Through Olive Leaf Phenolic and Mineral Analysis by Mario Franić, Igor Pasković, Šime Marcelić, Igor Lukić, Nikola Major, Igor Palčić, Smiljana Goreta Ban, Marija Polić Pasković

“…The content and composition of phenolic compounds and mineral elements in olive leaves are susceptible to variation influenced by various factors, such as genotype, environment, and agricultural practices. …”
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Genome-Wide Identification and Expression Analysis of <i>Aspartic proteases</i> in <i>Populus euphratica</i> Reveals Candidates Involved in Salt Tolerance by Peiyang He, Lifan Huang, Hanyang Cai

“…Moreover, the potential involvement of <i>APs</i> in salt tolerance mechanisms in trees is yet to be explored. In this research, 55 <i>Pe</i>APs were discovered and categorized into three distinct classes based on their conserved protein structures. …”
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Citrus Black Spot Symptoms on Fruit Exposed to Phyllosticta citricarpa Infections at Different Developmental Stages by Providence Moyo, Régis Oliveira Fialho, Geraldo José Silva Junior, Paul Fourie

“…The length of the fruit susceptibility period may be influenced by the amount of inoculum and the climate of the citrus growing region. …”
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Interaction of reserves and osmoprotection in dwarf cashew clones under water stress by Anselmo Ferreira da Silva, Valéria Fernandes de Oliveira Sousa, Rejane Maria Nunes Mendonça, Josemir Moura Maia, Agda Malany Forte de Oliveira, Francisco Hélio Alves de Andrade, Marília Hortência Batista Silva Rodrigues, Franciscleudo Bezerra da Costa

“…Proline emerges as a potential molecular marker for drought tolerance in early dwarf cashew trees. The self-grafted BRS226 and the BRS226/CCP76 combination under the irrigation with 25 % of the ETc were the most affected, exhibiting greater membrane damage, lower foliar potassium accumulation, moisture content and relative water content, and are therefore not recommended under water-restricted conditions.…”
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The Effect of Grazing on Central Anatolian Steppe Vegetation: A Modeling Approach Using Functional Traits by Anıl Bahar, Çağatay Tavşanoğlu

“…The simulations revealed that moderate grazing supports the diversity and abundance of various plant functional groups, excluding resprouter trees, which flourish under no grazing conditions. …”
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Understanding the impact of climate change on oil palm plantation: a systematic literature review by Rina Wulandari, Azlan Abas, Abdullah Abdullah

“…This study aims to systematically review and analyze how climate change influences the productivity and physical conditions of oil palm. …”
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Impact of El Niño–Southern Oscillation and Mechanical Pruning Strategies on the Productivity, Alternate Bearing, and Vegetative Growth of Olive Hedgerows by Franco E. Calvo, María A. Calahorra, Eduardo R. Trentacoste

“…Arbequina hedgerows (2000 trees ha⁻¹), two pruning times (winter and spring) and two pruning types (unilateral and bilateral) were applied under contrasting bearing conditions (ON and OFF seasons) over four consecutive seasons in La Rioja, Argentina. …”
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Dynamics of <i>Aromia bungii</i> (Faldermann, 1835) (<i>Coleoptera</i>, <i>Cerambycidae</i>) Distribution in China Amidst Climate Change: Dual Insights from MaxEnt and Meta-Analysi... by Zhipeng He, Xinju Wei, Yaping Li, Xinqi Deng, Zhihang Zhuo

“…<i>Aromia bungii</i> Faldermann (<i>Coleoptera</i>, <i>Cerambycidae</i>) is one of the most serious stem-boring pests that infests Rosaceae fruit trees and ornamental trees. This study, based on occurrence data for this species, employed the MaxEnt model and meta-analysis method to predict the distribution range and centroid movement of <i>A. bungii</i> under the current and future climates in China. …”
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Gully Erosion Susceptibility Prediction Using High-Resolution Data: Evaluation, Comparison, and Improvement of Multiple Machine Learning Models by Heyang Li, Jizhong Jin, Feiyang Dong, Jingyao Zhang, Lei Li, Yucheng Zhang

“…The primary objective is to evaluate and optimize the top-performing model under high-resolution UAV data conditions, utilize the optimized best model to identify key factors influencing the occurrence of gully erosion from 11 variables, and generate a local gully erosion susceptibility map. …”
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Developing advanced datadriven framework to predict the bearing capacity of piles on rock by Kennedy C. Onyelowe, Shadi Hanandeh, Viroon Kamchoom, Ahmed M. Ebid, Fabián Danilo Reyes Silva, José Luis Allauca Palta, José Luis Llamuca Llamuca, Siva Avudaiappan

“…A comprehensive dataset comprising key influencing factors such as pile dimensions, geological characteristics, and penetration resistance was utilized to train and validate various models, including Kstar, M5Rules, ElasticNet, XNV, and Decision Trees. …”
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Fruit Bagging Enhances Peel Color and Affects Fruit Quality of Citrus Under Protected Screen-grown Grapefruit-like Hybrid ‘914’ by Shalini Pareek, Joseph H. Volpe, Emily S. Worbington, Arnold W. Schumann, Yuan Yu, Alma D. Hurtado, Jude W. Grosser, Fred G. Gmitter Jr, John M. Chater

“…Both locations had fruit-bearing trees in citrus under protected screen structures to exclude Asian citrus psyllid from the cropping system. …”
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Features of the biogeocycle and carbon dynamics in the landscape ecotone "mountains – plains" (using the example of the carbon polygon of the Chechen Republic, Russia) by A. N. Gunya, U. T. Gairabekov, L. Sh. Makhmudova

“…In different seasons of the year the course of temperature, humidity and precipitation was recorded and landscape-phenological and landscape-geophysical surveys were carried out, including the description and measurements of the set and combination of the main geomasses and geohorizons that make up vertical structures and sampling to determine phyto- and mortmasses.Eight types of daily hydrothermal states of natural complexes are identified, which, in combination with trends in the biogeocycle, create  15 landscape-ecological states characterised by different conditions of the biogeocycle and carbon dynamics. In the lowlands, a relatively simple biogeocycle is observed; a certain part of the phytomass is deposited in the trunks, branches and roots of trees. …”
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Entomopathogenic Nematodes for Sustainable Thrips Control in Nectarine Cultivation: Efficacy, Pollinator Safety, and Integrated Pest Management Strategies by Evangelos Moutsaras, Aikaterini Gerasimatou, Athanasios Antonopoulos, Christina Panopoulou, Dimitrios Lazarakis, Antonios Tsagkarakis

“…The reduction in feeding scars on fruits from <i>S. feltiae</i>–treated trees underscores its potential as a sustainable biocontrol agent. …”
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Operational efficiency and environmental impacts: a study on cut-to-length logging in the Carpathian forests by Michal Allman, Martin Jankovský, Vladimír Bobrík, Zuzana Dudáková

“…IntroductionThe performance and consumption of CTL technologies in the forest harvesting process are influenced by a wide range of technological conditions and factors, requiring detailed analysis to increase machine performance and reduce environmental impacts.MethodsIn the presented study, we investigated the efficiency of different CTL (cut-to-length) logging machines in 1,390 forest stands from 2020 to 2022. …”
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Integration of FEM-based permeation analysis and AI-based predictive models for improved chemical grout permeation assessment in heterogeneous soils by Khin Nyein Chan Kyaw, Kuo Chieh Chao, Shinya Inazumi

“…Additionally, AI models, including neural networks and gradient boosting decision trees, were trained on FEM-derived datasets to predict permeation velocities and ranges with high accuracy (R² = 0.849). …”
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Local ecological knowledge about pest control offers novel perspectives for Aye-aye conservation by Holinirina Beby Rabemananjara, Holinirina Beby Rabemananjara, Christof Bodenburg, Dominik Schüßler, Yazdan Asadi, Joelisoa Ratsirarson, Josia Razafindramanana, Josia Razafindramanana, Hantanirina Rasamimanana, Torsten Richter, Anke Meisert

“…Survey analysis employed a Random Forest model and expert interviews were analyzed using qualitative content analysis.ResultsClove farming experts emphasized the beneficial effect that an Aye-aye has by suppressing invertebrate pest species on clove trees. About 44% of the survey participants related the Aye-aye to pest control and knowledge of its insectivory was identified as a critical factor influencing this benefit knowledge. …”
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Improving landslide susceptibility prediction through ensemble recursive feature elimination and meta-learning framework by Krishnagopal Halder, Amit Kumar Srivastava, Anitabha Ghosh, Subhabrata Das, Santanu Banerjee, Subodh Chandra Pal, Uday Chatterjee, Dipak Bisai, Frank Ewert, Thomas Gaiser

“…Seven advanced machine learning models- Logistic Regression (LR), Support Vector Machine (SVM), Random Forest (RF), Extremely Randomized Trees (ET), Gradient Boosting (GB), Extreme Gradient Boosting (XGBoost), and a Meta Classifier (MC) were applied using Remote Sensing and GIS tools to identify key landslide-conditioning factors and classify susceptibility zones. …”
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Attribute Relevance Score: A Novel Measure for Identifying Attribute Importance by Pablo Neirz, Hector Allende, Carolina Saavedra

“…Our methodology, grounded in decision trees but extendable to other machine learning models, was rigorously evaluated across various data scenarios. …”
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Implications for the distributional range of the European bark beetles under future climate change by Shengqi Jian, Yufei Han, Risto Kasanen, Juha Honkaniemi, Samuli Junttila, Fred O. Asiegbu

“…Over the past few decades, many trees have died due to bark beetle infestations, causing considerable economic damage to forestry. …”
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