The floristic variations of shrub and tree components were studied in two sites of Semideciduous Forest, initial forest and mature forest, located in the Mata do Paraíso Forest Reserve, in Viçosa, State of Minas Gerais, Southeastern Brazil, in order to analyze the floristic similarity and the correlations between environmental variables and the distribution of tree species in these forests. Individual trees with a diameter at breast height (DBH) > or = 4.8 cm were sampled in twenty 10 x 30 m plots (10 plots in each site). The plots were distributed systematically at 10 m intervals. The environmental variables analyzed were: the canopy openness and soil chemical and texture characteristics. The two forest sites showed clear differences in the levels of canopy openness and soil fertility, factors that reflect the floristic and successional differences of the shrub and tree component, revealed by the low similarity between these forests by cluster analysis. The canonical correspondence analysis (CCA) of environmental variables and species abundance indicated that the species in these forests studied are distributed under strong influence of canopy openness, moisture and soil fertility.
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.15517/rbt.v56i3.5729 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Gender differences in acute and perceived stress, bullying, and academic motivation among nursing and midwifery students.
BMC Nurs
January 2025
Department of Nursing Sciences, College of Applied Medical Sciences, Shaqra University, Shaqra, Saudi Arabia.
Background: College-aged students are at risk for experiencing negative events that may influence their future health and life. Those negative events or stressors may vary in type and severity. Stress and bullying are prevalent among nursing students that may affect their academic motivation.
View Article and Find Full Text PDFPredicting high-quality ecologically suitable areas of Astragalus mongholicus Bunge based on secondary metabolites content using Biomod2 model.
Sci Rep
January 2025
School of Pharmacy, Chengdu University of TCM, Chengdu, 611137, China.
Habitat requirements and species' ecological suitability are essential conditions for species conservation and management. Under the influence of different environmental variables, assessing the habitat quality of medicinal plants is an important issue to ensure the quality of medicinal plants and protect biodiversity. This study explores the impact of environmental variables on the distribution of Astragalus mongholicus Bunge (A.
View Article and Find Full Text PDFHigher spatial resolution is not always better: evaluating satellite-sensed sea surface temperature products for a west Pacific coral reef system.
Sci Rep
January 2025
School of Natural and Environmental Sciences, Newcastle University, Newcastle upon Tyne, UK.
As marine heatwaves and mass coral bleaching events rise in frequency and severity, there is an increasing need for high-resolution satellite products that accurately predict reef thermal environments over large spatio-temporal scales. Deciding which global sea surface temperature (SST) dataset to use for research or management depends in part on the desired spatial resolution. Here, we evaluate two SST datasets - the lower-resolution CoralTemp v3.
View Article and Find Full Text PDFPredictive modeling of air quality in the Tehran megacity via deep learning techniques.
Sci Rep
January 2025
Department of Statistics, Faculty of Science, Fasa University, Fasa, 74616-86131, Iran.
Air pollution is a significant challenge in metropolitan areas, where increasing amounts of air pollutants threaten public health and environmental safety. The present study aims to forecast the concentrations of various air pollutants, including CO, O, NO, SO, PM, and PM, from 2013 to 2023 in the Tehran megacity, Iran, via deep learning (DL) models and evaluate their effectiveness over conventional machine learning (ML) methods. Key driving variables, including temperature, relative humidity, dew point, wind speed, and air pressure, were considered.
View Article and Find Full Text PDFAnalytical expressions of specific yield for shallow groundwater estimation and modeling.
Environ Monit Assess
January 2025
Chinese-Israeli International Center for Research and Training in Agriculture, China Agricultural University, Beijing, People's Republic of China.
Specific yield (S) is an essential hydrogeological parameter in groundwater-related modeling and estimation. In this study, we proposed several new analytical expressions of S to characterize the nonlinear variations of S under shallow groundwater environments, encompassing S for three-layered soil, transition zone S, and flux-dependent S (in Boussinesq-type equation). The proposed S expression for three-layered soils expanded the applicability of previous expressions for homogeneous soil.
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!