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Vertical Variations of Leaf Photosynthetic and Biochemical Parameters Within Winter Wheat and Paddy Rice Canopies at Different Growth Stages
Jing Li
,Yanlian Zhou
,Xuehe Lu
,Tingting Zhu
,Kai Cao
,Shucun Sun
,Bo Tang
,Weimin Ju
Posted: 13 April 2026
Structural Dynamics and Disturbance Regime in an Old-Growth Oak–Beech Forest: Integrating Long-Term Observations, Dendroecology and Canopy Gap Analysis
Stjepan Mikac
,Domagoj Trlin
,Marko Orešković
,Laura Miketin
,Karla Agičić
,Igor Anić
Posted: 13 April 2026
Species Eradication from Mediterranean Islands Using Biocides: Nature Conservation or Environmental Disaster?
Rosario Fico
,Cesare Scarfo
,Marco Masseti
,Giuliano Russini
,Kevin Cianfaglione
Posted: 30 March 2026
Research on Carbon Emission Calculation Methods for Cigarette Factories
Shuo Sun
,Xinxin Zhan
,Hao Hu
,Yuewen Wang
,Yu Zhong
,Liangjian Wang
,Zhao Han
,Wan Luo
,Huijiao Wei
Posted: 26 March 2026
Ranking Workplaces from the Most Risky to the Least Risky in LNG Production Using Integrated AHP-ELECTRE Method
Abobakr Ali Abdalgadr Abdlhafid
,Ivana Ilić
,Radovan Petrović
,Mladen Vuruna
,Stevan Mušicki
,Vjačeslav Mutavči
Posted: 24 March 2026
Revisiting Electric Mobility: How Individual Perceived Value Shapes Battery Electric Vehicle Adoption—Insights into Technophilia, Range Anxiety, and Battery Cost in China
Haojie Jia
,Haipeng Zhao
,Yosuke Uchiyama
Posted: 23 March 2026
Agricultural Growth and Environmental Sustainability in Morocco: An ARDL Analysis of the Dynamic Interactions Between Agricultural Value Added and CO2 Emissions
Toufik Marmad
,Yassire El Otmani
,Tarik Ait El Moumen
,Jaafar El Bardai
,Hamza Chafia
Posted: 23 March 2026
Larch (Larix sibirica) and Poplar (Populus laurifolia) in Refugia: Growth and Migration into the Mongolian Desert
Viacheslav I. Kharuk
,Il’ya A. Petrov
,Sergei T. Im
,Alexander S. Shushpanov
,Sergei O. Ondar
,Andrey M. Samdan
Posted: 19 March 2026
Ecological Invasion, Impact, and Management of Johnson Grass [Sorghum halepense (L.) Pers.] for Sustainable Livestock Production: A Systematic Review
Sive Tokozwayo
,Azile Dumani
,Monde Rapiya
,Wandile Mashece
,Ayanda Kwaza
,Siza Mithi
Posted: 19 March 2026
Scoping Review on Soil Contamination from Lead-Zinc Slag and Environmental Assessment Methods
Zhaksylyk Pernebayev
,Akbota Aitimbetova
Posted: 18 March 2026
Environmental Gradients Shape Mammal and Galliform Bird Communities in a Mountain Reserve Through Species Turnover and Niche Differentiation
Qinlong Dai
,Yunqiao Zhang
,Liuyang He
,Jiahao Zhang
,Lifeng Zhu
,Qiang Dai
Posted: 17 March 2026
Climate Change Risk Scenarios for Echinometra lucunter (Linnaeus, 1758) in the Colombian Caribbean
Ronaldo David Campo Romero
,Andrés Felipe Diaz Delgadillo
Posted: 17 March 2026
The HEROS Framework: A Methodological Approach for Assessing Immovable Cultural Heritage as an Active Component of the One Health System
Marco Casazza
Posted: 13 March 2026
Isoscape of Oxygen Stable Isotopes in Woods of the Amazon
Ana Claudia Gama Batista
,Maria Gabriella Araújo
,Isabela Maria Souza Silva
,Deoclécio Jardim Amorim
,Fabiana Cristina Fracassi Adorno
,Gabriela Bielefeld Nardoto
,Vladimir Eliodoro Costa
,Mario Tomazello Filho
,Niro Higuchi
,Perseu da Silva Aparicio
+7 authors
Stable oxygen isotopes (δ18O) in wood provide integrative records of plant water use and regional hydroclimatic processes, offering a powerful framework for spatial ecological analysis in tropical forests. Here, we present the first regional-scale δ18O isoscapes for Amazonian wood based on 387 trees sampled across 25 sites. After α-cellulose extraction, δ18O values were modeled using multiple linear regression (MLR) and Random Forest (RF) approaches. A Moran’s I test revealed no significant spatial autocorrelation (p = 0.73), indicating that geostatistical interpolation methods such as kriging were not appropriate for this dataset. The MLR model based on site-average data achieved an R2 of 0.70, with a mean absolute error (MAE) of 0.56‰ and root mean square error (RMSE) of 0.68‰. The RF model showed comparable performance (R2= 0.67; MAE = 0.64‰; RMSE = 0.77‰). Both approaches reproduced a coherent southeast-to-northwest gradient, with lower δ18O values in the western Amazon and higher values in the east, consistent with regional patterns in precipitation isotopic composition and evapotranspiration. These findings demonstrate that climate-driven statistical modeling effectively captures large-scale isotopic structure across the Amazon basin, providing a robust spatial representation of δ18O variability in tropical forest wood.
Stable oxygen isotopes (δ18O) in wood provide integrative records of plant water use and regional hydroclimatic processes, offering a powerful framework for spatial ecological analysis in tropical forests. Here, we present the first regional-scale δ18O isoscapes for Amazonian wood based on 387 trees sampled across 25 sites. After α-cellulose extraction, δ18O values were modeled using multiple linear regression (MLR) and Random Forest (RF) approaches. A Moran’s I test revealed no significant spatial autocorrelation (p = 0.73), indicating that geostatistical interpolation methods such as kriging were not appropriate for this dataset. The MLR model based on site-average data achieved an R2 of 0.70, with a mean absolute error (MAE) of 0.56‰ and root mean square error (RMSE) of 0.68‰. The RF model showed comparable performance (R2= 0.67; MAE = 0.64‰; RMSE = 0.77‰). Both approaches reproduced a coherent southeast-to-northwest gradient, with lower δ18O values in the western Amazon and higher values in the east, consistent with regional patterns in precipitation isotopic composition and evapotranspiration. These findings demonstrate that climate-driven statistical modeling effectively captures large-scale isotopic structure across the Amazon basin, providing a robust spatial representation of δ18O variability in tropical forest wood.
Posted: 12 March 2026
Between Soy and Pumas: The Future of Brazilian Biodiversity Is in the Hands of Farmers
Fabio Angeoletto
,Aline Gauer
,Adroaldo Sturmer
,Domingos Sávio Barbosa
,Franciele Finck
,Clarisse Hendges Sturmer
,Aline Locatelli
,Alana Vanoni Alnoch
,Bruna Luísa Bervian Schons
,Davi Otávio Zohler
+12 authors
Posted: 09 March 2026
Prioritizing Crucial Habitats for Biodiversity Conservation in Temperate and Tropical North America and the Caribbean: A Fine-Scale Indexing Approach
Emmanuel Oceguera Conchas
,Jose Valdez
,Lea A. Schulte
,Pat J. Comer
Posted: 02 March 2026
Movement Responses of the Supratidal Gastropod Cenchritis muricatus to Seawater Under Experimentally Constrained Conditions
Ariana Hoogerdyk
,Jurek Kolasa
,Danielle Montocchio
Posted: 25 February 2026
Should Conservation Cut-In Wind Speed Be Tailored to Site-Specific Conditions? Insights from Bat Activity Patterns at Windfarms in Northern Portugal
Sara Silva
,Paulo Barros
,Mario Santos
Wind energy stands as one of the most technologically mature renewable sources, playing a pivotal role in the mitigation of greenhouse gas emissions. However, wind farms and associated infrastructures increase collision risk for flying organisms. Implementing higher cut-in speeds is a proven mitigation strategy to significantly decrease wildlife mortality rates, particularly for bat species, by preventing turbine operation during low-wind periods of high activity. The suggested, non-standard, increased cut-in speed for wind turbines is generally 5.0 m/s. To test the effectiveness of cut-in speed increase, bat activity was monitored at three wind farms in northern Portugal (Gevancas, Azinheira and Dom João e Feirão), using ultrasonic acoustic detection, to characterize spatial and temporal activity patterns and assess the potential risk associated. Monitoring was carried out at fixed stations, at heights of 55m above ground level during seven consecutive nights per month, from march to October. Wind speed data were recorded concurrently using anemometers mounted on meteorological towers. Contradicting cut-in speed recommendations, the results show that 90% of bat activity occurred at wind speeds above the current mitigation thresholds (5.0 m/s.). Since turbine operation coincides with peak bat activity, it is imperative to implement site-specific mitigation strategies, such as optimized cut-in speeds, to minimize mortality risk.
Wind energy stands as one of the most technologically mature renewable sources, playing a pivotal role in the mitigation of greenhouse gas emissions. However, wind farms and associated infrastructures increase collision risk for flying organisms. Implementing higher cut-in speeds is a proven mitigation strategy to significantly decrease wildlife mortality rates, particularly for bat species, by preventing turbine operation during low-wind periods of high activity. The suggested, non-standard, increased cut-in speed for wind turbines is generally 5.0 m/s. To test the effectiveness of cut-in speed increase, bat activity was monitored at three wind farms in northern Portugal (Gevancas, Azinheira and Dom João e Feirão), using ultrasonic acoustic detection, to characterize spatial and temporal activity patterns and assess the potential risk associated. Monitoring was carried out at fixed stations, at heights of 55m above ground level during seven consecutive nights per month, from march to October. Wind speed data were recorded concurrently using anemometers mounted on meteorological towers. Contradicting cut-in speed recommendations, the results show that 90% of bat activity occurred at wind speeds above the current mitigation thresholds (5.0 m/s.). Since turbine operation coincides with peak bat activity, it is imperative to implement site-specific mitigation strategies, such as optimized cut-in speeds, to minimize mortality risk.
Posted: 13 February 2026
"Barrier Effect" Across Sciences and Policies–A Need for an Integrated Approach to the Protection of Ecological Connectivity
Marcin Marek Pchałek
,Aleksandra Szurlej-Kielańska
Posted: 11 February 2026
Analysis of Dust Retention Capacity in Typical Plant Communities Along Roadside Green Belts in Southern Xinjiang During Spring and Summer
Fei Wang
,Jun Yu
,Ruiheng Lv
,Fengzhen Chang
Posted: 09 February 2026
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