Publications by authors named "Pedro Higuchi"

This study assessed the impact of altitude, precipitation, and soil conditions on species richness (SR), phylogenetic diversity (PD), and functional diversity (FD) standardized effect sizes in subtropical Brazilian Atlantic Forest tree communities. We considered specific trait information (FDs) for FD, reflecting recent adaptive evolution, contrasting with deeper phylogenetic constraints in FD. Three functional traits (leaf area-LA, wood density-WD, and seed mass-SM) were examined for their response to these gradients.

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Article Synopsis
  • The 'Global Spectrum of Plant Form and Function Dataset' includes mean values for six key vascular plant traits, essential for understanding plant variation.
  • This dataset aggregates around 1 million trait records from the TRY database and other sources, encompassing 92,159 species mean values across 46,047 species.
  • Comprehensive data quality management and validation ensure this is the largest and most reliable collection of empirical data on vascular plant traits available.
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Plant functional traits can predict community assembly and ecosystem functioning and are thus widely used in global models of vegetation dynamics and land-climate feedbacks. Still, we lack a global understanding of how land and climate affect plant traits. A previous global analysis of six traits observed two main axes of variation: (1) size variation at the organ and plant level and (2) leaf economics balancing leaf persistence against plant growth potential.

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The aims of this study were to identify floristic assemblages for alluvial forests in the Atlantic Forest and Pampa regions in Brazil, assess the level of floristic similarity between assemblages, and determine environmental gradients and indicator species for these assemblages. Surveys carried out in alluvial forests in the Atlantic Forest and Pampa regions were selected, based on which a presence/absence matrix was built for tree species. A cluster analysis was performed to verify the existence of species assemblages.

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  • Biological invasion poses a significant risk to global biodiversity and ecosystem services, prompting an analysis of native versus non-native invasive tree species in Southern Brazil's subtropical mixed forest.
  • The study utilized Principal Component Analysis to assess traits like wood density, leaf area, and specific leaf area, aiming to understand how invasive species fit into ecological niches.
  • Although both native and non-native species share functional gradients, the success of invasions is influenced by specific traits and cannot be generalized across all species.
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  • The study explores global predictions of plant community traits to better understand their responses to environmental changes, focusing on assessing the reliability of these predictions.
  • Utilizing an ensemble modeling approach, researchers predicted plant traits like height and leaf area using locally sourced data while evaluating model accuracy and ecological realism.
  • Results showed that while some traits could be reliably predicted with high data quality, leaf nitrogen concentrations were less reliable; the ensemble method outperformed individual models, especially in regions like African deserts and the Arctic.
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Analysis of the structure, diversity, and demographic dynamics of tree assemblages in tropical forests is especially important in order to evaluate local and regional successional trajectories.We conducted a long-term study to investigate how the structure, species richness, and diversity of secondary tropical forests change over time. Trees (DBH ≥ 5 cm) in the Atlantic Forest of southern Brazil were sampled twice during a 10-year period (2007 and 2017) in six stands (1 ha each) that varied in age from their last disturbance (25, 60, 75, 90, and more than 100 years).

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Article Synopsis
  • Plant traits, which include various characteristics like morphology and physiology, play a crucial role in how plants interact with their environment and impact ecosystems, making them essential for research in areas like ecology, biodiversity, and environmental management.
  • The TRY database, established in 2007, has become a vital resource for global plant trait data, promoting open access and enabling researchers to identify and fill data gaps for better ecological modeling.
  • Although the TRY database provides extensive data, there are significant areas lacking consistent measurements, particularly for continuous traits that vary among individuals in their environments, presenting a major challenge that requires collaboration and coordinated efforts to address.
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Biological invasions are a major threat to global biodiversity. Ligustrum lucidum, native to temperate Asia, is one of the most invasive plant species in the world. Climate is an important ecological factor influencing species distribution.

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Article Synopsis
  • Plant functional traits influence ecosystem functions and vary based on ecological strategies, with species-level trade-offs not directly aligning at the community level.
  • A global analysis of over 1.1 million vegetation plots reveals that while 17 functional traits are filtered, community trait values can differ significantly despite similar environmental conditions.
  • The study suggests that local factors like disturbance and biotic interactions play a larger role in shaping trait combinations than broader macro-environmental drivers.
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Motivation: The BioTIME database contains raw data on species identities and abundances in ecological assemblages through time. These data enable users to calculate temporal trends in biodiversity within and amongst assemblages using a broad range of metrics. BioTIME is being developed as a community-led open-source database of biodiversity time series.

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We aimed to investigate the taxonomic and functional variations of tree component of Araucaria Forest (AF) areas located along an altitudinal gradient (700, 900 and 1,600 m asl), in the southern region of Brazil. The functional traits determined were leaf area, specific leaf area, wood density, maximum potential height and dispersal syndromes and deciduousness. The data were analyzed through a functional and taxonomic dissimilarity dendrograms, community-weighted mean trait values, parametric and nonparametric tests, and Principal Component Analysis.

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