Understanding local determinants of dengue: a geographically weighted panel regression approach in Yogyakarta, Indonesia by Marko Ferdian Salim, Tri Baskoro Tunggul Satoto, Danardono

“…The dataset included meteorological variables (rainfall, temperature, humidity, wind speed, and atmospheric pressure), sociodemographic data (population density), and land-use characteristics (built-up areas, crops, trees, water bodies, and flooded vegetation). A GWPR model with a Fixed Exponential kernel was used to assess local variations in predictor influence. …”
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Enhancing Pollen Prediction in Beijing, a Chinese Megacity: Leveraging Ensemble Learning Models for Greater Accuracy by Wenxi Ruan, Ziming Li, Zhaobin Sun, Xingqin An, Yuxin Zhao, Shuwen Zhang, Yinglin Liang, Yaqin Bu, Jingyi Xin, Xiaoyi Hang

“…Furthermore, the study assesses the importance of feature groups within the model, indicating that pollen emission intensity and phenological characteristics are crucial for both training and testing phases, whereas meteorological factors predominantly influence pollen dispersion. Given the strong impact of meteorological conditions and nonlinear regulation on pollen, a type of bioaerosol, machine learning demonstrates substantial potential for simulating and predicting its concentrations.…”
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Monitoring changes of forest height in California by Samuel Favrichon, Jake Lee, Yan Yang, Yan Yang, Ricardo Dalagnol, Ricardo Dalagnol, Fabien Wagner, Le Bienfaiteur Sagang, Le Bienfaiteur Sagang, Sassan Saatchi, Sassan Saatchi, Sassan Saatchi

“…Changes of height captured impacts of tree mortality and fire intensity, pointing to the influence of wildfire across landscapes. …”
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Do leaf traits shape herbivory in tropical montane rainforests? A multispecies approach by Jana E. Schön, Raya Keuth, Jürgen Homeier, Oliver Limberger, Jörg Bendix, Nina Farwig, Roland Brandl

“…We examined whether leaf traits of trees are related to herbivory in a multispecies approach. …”
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EVALUATING HABITAT SUITABILITY AND ECOTOURISM POTENTIAL OF MANGROVE ECOSYSTEMS PROGO RIVER YOGYAKARTA by Erny Poedjirahajoe, Muhammad Reza Pahlevi, Frita Kusuma Wardhani, Ryan Adi Satria, Dimas Cahya Kurnia Saputra

“…Habitat factors greatly influence the growth of mangrove plants. Habitat suitability is reflected in the suitability of the species that can grow in the habitat. …”
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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

“…The results indicated that bagging ‘914’ positively influences external peel color and can affect internal fruit quality. …”
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A Trade‐Off Between Leaf Carbon Economics and Plant Size Among Mangrove Species in Dongzhaigang, China by Dalong Jiang, Tao Nie, Qiuyu He, Jing Yan, Erhui Feng, Qing Ye

“…Despite this, the size–trait relationships in coastal mangroves have often been overlooked, with a common assumption that they would mirror those found in terrestrial tropical trees. However, recent studies have begun to challenge this assumption, revealing unique adaptations and trait variations in mangroves that are influenced by their specific environmental conditions, such as salinity and nutrient availability. …”
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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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Radial growth projections reveal site-specific futures of different oak species with contrasting water availability in SW Hungary by Norbert Móricz, Ilona Mészáros, Gábor Zoltán Illés, Balázs Garamszegi, Csaba Béla Eötvös, Anikó Kern, Anikó Kern, Anikó Hirka, Imre Berki, Attila Borovics, Roland Hollós, Tamás Márton Németh

“…Liebl.) and Turkey oak (Quercus cerris L.) trees in two sites in Hungary, each with different water availability. …”
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Understanding trends in Zostera research, stressors, and response variables: a global systematic review of the seagrass genus by Hannah R. Lyford, Emma Guerrini Romano, Shayna A. Sura, Sarah Joy Bittick

“…Biotic and abiotic factors that influence seagrass can be classified as stressors, such as rising temperature and eutrophication. …”
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Rootstock-mediated effects on vine performance and quality composition of ‘Miguang’ under protected cultivation in northern China by Xinyu Wang, Changjiang Liu, Nan Jia, Yonggang Yin, Bin Han, Yan Sun, Shuli Han, Yong Guo, Minmin Li

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Effect of hydrogen cyanamide (HC) on release of floral bud dormancy, endogenous hormone and carbohydrate in Pyrus pyrifolia cv. Cuiguan by LIU Dongfeng, CHEN Lulu, LI Guopeng, WANG Tao, TENG Yuanwen

“…Bud dormancy is an adaptive developmental process for perennial deciduous fruit trees to survive under the adverse environmental conditions, which is released when both the chilling requirement and growth temperature are achieved. …”
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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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DIVERSIFICATION OF THE AGRICULTURE AIMED TO BIOENERGY PRODUCTION by Martin PRČÍK

“…The research was realized in the vegetation year 2012 (the last year of the first growing cycle) and 2013 (the first year of the second growing cycle) on a research area in the village Kolíňany, Slovakia. Return cut of the trees (at the end of the vegetation in 2012) influenced biomass production the first year of the second growing cycle by all grey poplar varieties. …”
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in Floral Formation of Mid-late Maturing Litchi in Guangdong Province in 2024 by Liuhong ZHANG, Yu ZHANG, Ye LIU, Ting XIANG, Daqiang CHEN

“…In 2024, in the litchiproducing areas of Guangdong Province, phenomena such as poor flower quality, reduced flowers or even complete absence of blossoms occurred in mid-late maturing litchi, resulting in an extremely low-yield year for litchi, marking a "super off-year" for lychee production. Exploring the influence and restriction of climate condition on the floral initiation of mid-late maturing litchi can furnish a scientific basis for effectively circumventing risks in litchi production, thereby promoting the sustainable development of litchi industry within the context of a complex and changeable climate environment.…”
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Analysis of Gas Pipeline Failure Factors Based on the Novel Bayesian Network by Machine Learning Optimization by Shuangqing Chen, Shun Zhou, Zhe Xu, Yongbin Liu, Bing Guan, Xiaoyu Jiang, Wencheng Li

“…Firstly, the pipeline fault tree model is constructed according to the accident data that leads to pipeline failure, and the fault tree model is mapped to the Bayesian network. …”
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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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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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The effects of stand spatial structure on the aboveground biomass allocation in Chinese fir (Cunninghamia lanceolata) plantations by Xiang Huang, Xiang Huang, Yao Zhang, Yao Zhang, Jianwei Geng, Jianwei Geng, Xiangyu Chen, Xiangyu Chen, Zhihui Yu, Zhihui Yu, Shuhan Yu, Shuhan Yu, Kunyong Yu, Kunyong Yu, Fan Wang, Fan Wang, Jian Liu, Jian Liu

“…IntroductionChinese fir (Cunninghamia lanceolata) is the fastest-growing timber species in China. investigating its spatial structure and influence on aboveground biomass allocation is crucial for understanding its adaptability to environmental conditions, enhancing carbon sequestration, and maintaining forest ecosystem stability.MethodsIn this study, airborne LiDAR technology was used to derive forest structural metrics, and weighted Voronoi diagrams were constructed to extract spatial configuration metrics. …”
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Tending-Ants Increase Survivorship and Reproductive Success of Calloconophora pugionata Drietch (Hemiptera, Membracidae), a Trophobiont Herbivore of Myrcia obovata O.Berg (Myrtales... by Roberth Fagundes, Sérvio Pontes Ribeiro, Kleber Del-Claro

“…Given the diversity of outcomes of this type of interactions influenced by variation in biotic conditions (i.e. seasonality, spatial distribution, identity of species involved), new examples in different ecosystems can provide important data for a more general understanding of their impact in communities. …”
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