A5006748033- Forest ecology and management
- Ecology and Vegetation Dynamics Studies
- Plant and animal studies
- Conservation, Biodiversity, and Resource Management
- Remote Sensing and LiDAR Applications
- Species Distribution and Climate Change
- Forest Management and Policy
- Agricultural and Food Sciences
- Remote Sensing in Agriculture
- Geography and Environmental Studies
- Plant Diversity and Evolution
- Environmental and biological studies
- Fern and Epiphyte Biology
- Plant Water Relations and Carbon Dynamics
- Land Use and Ecosystem Services
- Rural Development and Agriculture
- Tree Root and Stability Studies
- Agroforestry and silvopastoral systems
- Soil Management and Crop Yield
- Forest Ecology and Biodiversity Studies
- Forest Biomass Utilization and Management
- Leaf Properties and Growth Measurement
- Forest Insect Ecology and Management
- Banana Cultivation and Research
- Remote-Sensing Image Classification
Universidade Regional de Blumenau
2016-2025
Czech Academy of Sciences, Global Change Research Institute
2024
Instituto Florestal
2015-2024
Université du Québec à Montréal
2023
Natural Sciences and Engineering Research Council
2023
Concordia University
2023
Universidade Federal de Santa Maria
2008
The biodiversity-productivity relationship (BPR) is foundational to our understanding of the global extinction crisis and its impacts on ecosystem functioning. Understanding BPR critical for accurate valuation effective conservation biodiversity. Using ground-sourced data from 777,126 permanent plots, spanning 44 countries most terrestrial biomes, we reveal a globally consistent positive concave-down BPR, showing that continued biodiversity loss would result in an accelerating decline forest...
Abstract Tropical forests are being deforested worldwide, and the remaining fragments suffering from biomass biodiversity erosion. Quantifying this erosion is challenging because ground data on tropical often sparse. Here, we use an unprecedented dataset of 1819 field surveys covering entire Atlantic Forest hotspot. We show that 83−85% presented losses in forest tree species richness, functional traits, conservation value. On average, have 25−32% less biomass, 23−31% fewer species, 33, 36,...
Biodiversity is declining globally, yet many biodiversity hotspots still lack comprehensive species conservation assessments. Using multiple International Union for Conservation of Nature (IUCN) Red List criteria to evaluate extinction risks and millions herbarium forest inventory records, we present automated assessments all tree the Atlantic Forest hotspot, including ~1100 heretofore unassessed species. About 65% 82% endemic are classified as threatened. We rediscovered five Extinct on...
Data retention and low voltage operation of Al 2 O 3 /Hf 0
Understanding the mechanisms controlling forest carbon storage is crucial to support “nature-based” solutions for climate change mitigation. We used a dataset of 892 Atlantic Forest inventories assess direct and indirect effects environmental conditions, human impacts, tree community proprieties, sampling methods on above-ground stocks. showed that widely accepted drivers stocks, such as climate, soil, topography, fragmentation, have much smaller role than disturbance history functional...
The purpose of this study is to contribute the discussion on regional and national forest inventories, aiming mainly aspects methodos operational.The Floristic Forest Inventory Santa Catarina State (IFFSC) an initiative state government it was conceived in order attend requirements environmental laws.A pilot inventory took place 2005; then methodology fitted proposal National (IFN-BR) at time.IFFSC carried out since 2007 all natural formations over state's territory, including floristic...
This study is part of the Floristic and Forest Inventory Santa Catarina, conceived to evaluate forest resources, species composition structure remnants, providing information update conservation land use policy in Southern Brazilian State Catarina (95 000 km2). In accordance National (IFN-BR), inventory applies systematic sampling, with 440 clusters containing four crosswise 1 000m2 plots (20 x 50m) each, located on a 10 10km grid overlaid map based classification SPOT-4 images from 2005....
Forest inventory estimates of tree volume for large areas are typically calculated by adding the model predictions volumes individual trees at plot level, calculating mean over plots, and expressing result on a per unit area basis. The uncertainty in is generally ignored, with that precision large-area estimate optimistic. primary study objective was to assess performance Monte Carlo based approach estimating prediction error had been developed boreal temperate forest applications when used...
Este estudo é resultado da amostragem sistemática flora floresta ombrófila mista em Santa Catarina, realizada 155 pontos amostrais toda a sua extensão e permite atualizar o conhecimento sobre ocorrência de espécies. Foram registradas 925 espécies espermatófitas, distribuídas 439 gêneros 116 famílias botânicas. A família com maior riqueza específica foi Asteraceae (119 espécies), seguida por Myrtaceae (88), Fabaceae (58) Solanaceae (52). Dentre as restantes, 34 apresentaram somente uma outras...
A key issue in large-area inventories is defining a suitable sampling design and the effort required to obtain reliable estimates of species richness forest attributes, especially species-diverse forests. To address this issue, data from 418 systematically distributed 0.4 ha plots were collected. Estimators nonparametric employed assess floristic representativeness collected three types Brazilian Atlantic Forest. The sufficiency attributes was evaluated as function sample size. Altogether,...
Abstract Brazil's Araucaria tree ( angustifolia ) is an iconic living fossil and a defining element of the Atlantic Forest global biodiversity hotspot. But despite more than two millennia as cultural icon in southern Brazil, on brink extinction, having lost 97% its extent to 20th‐century logging. Although logging now illegal, 21st‐century climate change constitutes new—but so far unevaluated—threat Araucaria's future survival. We use robust ensemble modelling approach, using recently...
Abstract Aim To determine the relationships between functional trait composition of forest communities and environmental gradients across scales biomes role species relative abundances in these relationships. Location Global. Time period Recent. Major taxa studied Trees. Methods We integrated abundance records from worldwide inventories associated traits (wood density, specific leaf area seed mass) to obtain a data set 99,953 149,285 plots (depending on trait) spanning all forested...
Remote sensing chlorophyll-A (CLA) estimates from global models have been used to support decision making in southern Brazil, the most important bivalve mollusks production region (~9 thousand tons 2022) country, and a recent study indicated that these poorly represent actual levels of CLA. The aim was develop an improved algorithm for estimating CLA coastal waters multispectral images. A database generated situ between 2007 2009 calibrate validate algorithms based on spectral data Medium...
Abstract In the absence of regional/local allometric models known accuracy, pantropical (PMs) are often employed for predicting aboveground biomass (AGB) trees growing in (sub)tropical forests. Using accurate a given population is crucial to increase accuracy and reduce uncertainty estimates mean AGB per unit area. This study evaluated effects local (LMs) PMs on large-area (Mg ha$^{-1}$) Brazilian subtropical evergreen rainforest. addition due sampling variability forest inventory dataset,...
Apesar do papel central em processos ecológicos, ciclos biogeoquímicos e clima, a estrutura dossel não é incluída nas medições Inventário Florestal Nacional Brasil (IFN/BR). Aqui, propomos uma metodologia simples de baixo custo para incorporar variáveis utilizando fotografias hemisféricas. Aplicamos 363 unidades amostrais (UA) Santa Catarina durante o segundo ciclo Programa FlorestaSC (IFN/SC) analisamos os dados coletados tempo necessário as operações 10 UAs. Para demonstrar potencialidade...
<title>Abstract</title> <bold>Background</bold>: This study utilized a pantropical tree database to simulate forest ground plots across the tropical zone. The aims were (i) generate and continental stand-level aboveground biomass (AGB) models, (ii) compare performances of stand- tree-level models in AGB prediction per unit area, (iii) quantify gains accuracy precision by adding Lorey’s height as model predictor. Forest stand variables such basal area density calculated then used predictors...
For a study area in the Brazilian state of Santa Catarina, utilities local and global forest maps combination with poststratified model-assisted estimators for increasing precision estimates were compared. Auxiliary information was form maps, recent Global Forest Change map, combinations these maps. The produced greater than regression categorical variables, but model assisted continuous variables. map least accurate all it that similar to those other more precise if had not been used. Thus,...
Estimation of wood volume and biomass is an important assignment any National Forest Inventory. However, the estimation process often expensive, laborious sometimes imprecise because small sample sizes relative to population variability. Remote sensing techniques are option assist in surveying large areas by providing data that can be related forest attribute interest through mathematical models relationships. Light Detection Ranging (LiDAR) a technology provide closely biomass. With these...
Wood density ( ρ ) is a trait involved in forest biomass estimates, ecology, prediction of stand stability, wood science, and engineering. Regardless its importance, data on are scarce for substantial number species the vast Atlantic Forest phytogeographic domain. Given that, present paper describes dataset composed three tables: (i) determinations (kg m−3) 153 growing types within subtropical Forest, based samples collected throughout state Santa Catarina, southern Brazil; (ii) list 719...
Airborne high–spatial resolution images were evaluated for mapping purposes in a complex Atlantic rainforest environment southern Brazil. Two study sites, covered predominantly by secondary evergreen rainforest, surveyed airborne multispectral high-resolution imagery. These aerophotogrammetric acquired at four spectral bands (visible to near-infrared) with spatial of 0.39 m. We different data input scenarios suit the object-oriented classification approach. In addition bands, auxiliary...