- Forest ecology and management
- Ecology and Vegetation Dynamics Studies
- Plant Water Relations and Carbon Dynamics
- Remote Sensing and LiDAR Applications
- Remote Sensing in Agriculture
- Environmental and biological studies
- Land Use and Ecosystem Services
- Geography and Environmental Studies
- Soil Geostatistics and Mapping
- Conservation, Biodiversity, and Resource Management
- Soil Management and Crop Yield
- Hydrology and Watershed Management Studies
- Tree-ring climate responses
- Economic and Environmental Valuation
- Soil erosion and sediment transport
- Plant and animal studies
- Agricultural and Food Sciences
- Plant Diversity and Evolution
- Agroforestry and silvopastoral systems
- Soil Carbon and Nitrogen Dynamics
- African Botany and Ecology Studies
- Soil and Unsaturated Flow
- Plant responses to elevated CO2
- Climate Change Policy and Economics
- Species Distribution and Climate Change
Universidade Federal de Lavras
2015-2024
Federal University of São João del-Rei
2023-2024
Fundação de Apoio a Pesquisa do Estado de Goiás
2018
Climate and soil are among the most important factors determining variation in tree communities, but their effects have not been thoroughly elucidated to date for many vegetation features. In this study, we evaluate how climate gradients affect of composition, species diversity dominance, structure functional traits (seed mass wood density) using over 327 000 trees 158 sites distributed along environmental transitions Atlantic forest, Cerrado Caatinga Minas Gerais State (MG), Brazil (nearly...
The Brazilian Cerrado biome consists of a highly heterogeneous tropical savanna, and is one the world's biodiversity hotspots. High rates deforestation, however, place it as second-largest source carbon emissions in Brazil. Due to its heterogeneity, biomass stocks vegetation are variable, mapping monitoring these not trivial effort. To address this challenge, we built an aboveground woody (AGWB) model for using 30-m resolution optical satellite imagery (Landsat-5 Landsat-8), 25-m SAR (ALOS...
Abstract Understanding the spatiotemporal behaviour of soil moisture in tropical forests is fundamental because it mediates processes such as infiltration, groundwater recharge, runoff and evapotranspiration. This study aims to model dynamics an Atlantic forest remnant (AFR) through four machine learning algorithms, these represent important knowledge gap under conditions. Random (RF), support vector machine, average neural network weighted k‐nearest neighbour were studied. The abilities...
An increase in atmospheric CO2 levels and global climate changes have led to an increased focus on capture mechanisms. The situ quantification spatial patterns of forest carbon stocks can provide a better picture the cycle deeper understanding functions services ecosystems. This study aimed determine aboveground (tree trunks) belowground (soil fine roots, at four depths) tropical Brazil evaluate three different compartments total stock. Census data from semideciduous seasonal were used...
ABSTRACT Since prolonged droughts have impacted Atlantic forests in Southeastern Brazil, further investigations to understand the effects of such stressful conditions their hydrological behavior are required. This study aimed assess changes water balance a semi-deciduous forest remnant and how responds droughts. The Standardized Precipitation-Evapotranspiration Index was applied identify (from 1961 2019) severity both year summer scales. Drought impacts on actual evapotranspiration,...
Information on evapotranspiration (ET) has the potential to clarify drought’s effects water balance of natural ecosystems. Here, we use a 6-year dataset present daily ET trends under different drought conditions in seasonally dry Atlantic Forest southeast Brazil as well environmental and biophysical controls. Generalized linear models (GLMs) were applied highlight main controls ET. Significant differences for not found (near normal, moderately dry, severely dry). responded positively net...
Here we model and describe the wood volume of Cerrado Sensu Stricto, a highly heterogeneous vegetation type in Savanna biome, state Minas Gerais, Brazil, integrating forest inventory data with spatial-environmental variables, multivariate regression, regression kriging. Our study contributes to better understanding factors that affect spatial distribution this as well allowing representation heterogeneity biome. Wood estimates were obtained through models using different environmental...
The diversity and structure of forest edges are a central issue in ecology. However, most studies have focused on anthropogenic edges, being natural ones least understood. We studied the communities shrubs trees gallery forests with main goal learning what factors that shape these sharp ecotones. evaluated 10 sites, allocating each them three 15×20 m plots. plots were laid out relatively rectilinear stretches respecting minimal distance between plot. As they permanent meant to study eventual...
Accurate mapping and monitoring of savanna semiarid woodland biomes are needed to support the selection areas conservation, provide sustainable land use, improve understanding vegetation. The potential geostatistical features, derived from medium spatial resolution satellite imagery, characterize contrasted landscape vegetation cover object-based image classification is studied. study site in Brazil includes cerrado sensu stricto, deciduous forest, palm swamp cover. Sentinel 2 Landsat 8...
The increasing awareness of global climate change has drawn attention to the role forests as mitigators this process they act carbon sinks atmosphere. Understanding storage in and its drivers, well presenting consistent models for their estimation, is a current demand. In sense, aim study was evaluate performance machine learning techniques: support vector machines (SVM) propose new nonlinear model extracted from training an artificial neural network (ANN) modeling above ground stock...
Riparian forests in the Brazilian Cerrado, also known as gallery forests, are very heterogeneous structure, species composition and ecological features due to strong abrupt variations of soil, hydrological topographic properties. However, what variables driving forest carbon stock productivity, mortality recruitment disturbed forests? We used 36 permanent plots data from a Cerrado. investigated how tree community dynamics vary on two contrasting disturbance levels—logged non-logged—across...
Abstract The new environmental conditions imposed by disturbance events often create a mosaic of spots in different successional stages. Our objective was to describe the temporal variation semideciduous seasonal forest based on its anthropic history, verifying possible changes dynamics and structure. We sampled arboreal vegetation with diameter at breast height (1.3 m above ground; DBH) ≥ 5 cm 15 permanent plots 20 × where we performed four inventories (2003, 2005, 2007 2015). observed...
This study aimed at evaluating the performance of different models based on Artificial neural networks (ANN) to estimate total height eucalyptus trees (Eucalyptus spp.), reducing number measurements in field. Forty-eight ANN were tested, from each other by used as training sample, calculate dominant and use variables (a) categorical, (b) categorical continuous (c) continuous, except for diameter 1.30 meters above ground (DBH), all combinations. Estimates obtained compared with values...
This study was carried out in an Atlantic forest remnant Southeastern Brazil and aimed to spatially model the soil water content (SWC) net precipitation (NP) on a monthly time scale assess spatial behavior of these hydrological variables different seasons. NP is defined by summing throughfall stemflow, which have been collected after each rain event accumulated monthly. Soil moisture measurements were up depth 1.00 m then integrated obtain SWC. The exponential semivariogram fitted for both...