Publications by authors named "Gabriela Lopez-Gonzalez"

Wood density is a critical control on tree biomass, so poor understanding of its spatial variation can lead to large and systematic errors in forest biomass estimates and carbon maps. The need to understand how and why wood density varies is especially critical in tropical America where forests have exceptional species diversity and spatial turnover in composition. As tree identity and forest composition are challenging to estimate remotely, ground surveys are essential to know the wood density of trees, whether measured directly or inferred from their identity.

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Understanding how the traits of lineages are related to diversification is key for elucidating the origin of variation in species richness. Here, we test whether traits are related to species richness among lineages of trees from all major biogeographical settings of the lowland wet tropics. We explore whether variation in mortality rate, breeding system and maximum diameter are related to species richness, either directly or via associations with range size, among 463 genera that contain wet tropical forest trees.

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Article Synopsis
  • * Analysis of data from over 1 million forest plots and thousands of tree species shows that wood density varies significantly by latitude, being up to 30% denser in tropical forests compared to boreal forests, and is influenced mainly by temperature and soil moisture.
  • * The research also finds that disturbances like human activity and fire alter wood density at local levels, affecting forest carbon stock estimates by up to 21%, emphasizing the importance of understanding environmental impacts on forest ecosystems.
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  • * Traditional monitoring methods are limited by low spatial and temporal resolution and high costs, while newer methods have not improved public understanding of water quality issues.
  • * This study evaluates the potential of IoT and citizen science for water quality monitoring and suggests strategies to overcome key challenges and improve public communication regarding water quality data.
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  • Tree mortality in tropical forests significantly impacts their ability to act as carbon sinks, yet the reasons behind tree death remain underexplored.
  • A study of over 120,000 trees across the Amazon revealed that tree mortality rates vary, with trees equally likely to die standing or being uprooted, leading to different ecological outcomes.
  • Key findings indicate that faster-growing species are more susceptible to death, while slower-growing trees of the same species face heightened risks, and climatic stressors are threatening the viability of these forests.
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  • The study highlights the uncertainty in how tropical forests' carbon storage responds to climate change, particularly the effects of long-term drying and warming.
  • Analysis of 590 permanent plots across the tropics finds that maximum temperature significantly reduces aboveground biomass, affecting carbon storage more in hotter forests.
  • The results indicate that tropical forests have greater resilience to temperature changes than short-term studies suggest, emphasizing the need for forest protection and climate stabilization for long-term adaptation.
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  • Structurally intact tropical forests contributed significantly to global carbon sequestration in the 1990s and early 2000s, absorbing about 15% of human-caused CO2 emissions.
  • A study comparing African and Amazonian forests found that while African forests have maintained a stable carbon sink over three decades, Amazonian forests are experiencing a long-term decline in carbon absorption due to increased tree mortality.
  • Recent trends suggest a potential increase in carbon losses in African forests post-2010, indicating that both regions are facing different challenges regarding their carbon sinks and may experience declines in the future.
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  • 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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Higher levels of taxonomic and evolutionary diversity are expected to maximize ecosystem function, yet their relative importance in driving variation in ecosystem function at large scales in diverse forests is unknown. Using 90 inventory plots across intact, lowland, terra firme, Amazonian forests and a new phylogeny including 526 angiosperm genera, we investigated the association between taxonomic and evolutionary metrics of diversity and two key measures of ecosystem function: aboveground wood productivity and biomass storage. While taxonomic and phylogenetic diversity were not important predictors of variation in biomass, both emerged as independent predictors of wood productivity.

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  • Understanding how forests store carbon is important for climate change!
  • Scientists studied the age of carbon in different parts of African tropical forests and found that smaller understory trees hold carbon longer than taller trees!
  • This means we need to pay more attention to all parts of the forest for better conservation and carbon tracking!
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Most of the planet's diversity is concentrated in the tropics, which includes many regions undergoing rapid climate change. Yet, while climate-induced biodiversity changes are widely documented elsewhere, few studies have addressed this issue for lowland tropical ecosystems. Here we investigate whether the floristic and functional composition of intact lowland Amazonian forests have been changing by evaluating records from 106 long-term inventory plots spanning 30 years.

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Quantifying the relationship between tree diameter and height is a key component of efforts to estimate biomass and carbon stocks in tropical forests. Although substantial site-to-site variation in height-diameter allometries has been documented, the time consuming nature of measuring all tree heights in an inventory plot means that most studies do not include height, or else use generic pan-tropical or regional allometric equations to estimate height.Using a pan-tropical dataset of 73 plots where at least 150 trees had in-field ground-based height measurements, we examined how the number of trees sampled affects the performance of locally derived height-diameter allometries, and evaluated the performance of different methods for sampling trees for height measurement.

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The original version of this Article contained an error in the third sentence of the abstract and incorrectly read "Here, using long-term plot monitoring records of up to half a century, we find that intact forests in Borneo gained 0.43 Mg C ha year (95% CI 0.14-0.

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  • Species distribution models (SDMs), like MaxEnt, often rely on natural history collections (NHCs) for data, but these collections can be spatially biased, affecting model accuracy.
  • A study tested the relationship between NHC distribution and a spatial abundance model (IDW) for Amazonian tree species, finding a weak positive correlation for most species analyzed.
  • The proposed new pipeline effectively reduced NHC inconsistencies and trimmed unnecessary data, offering a more conservative estimate of species occupancy, which is vital for large biodiversity assessments and conservation status evaluations.
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Less than half of anthropogenic carbon dioxide emissions remain in the atmosphere. While carbon balance models imply large carbon uptake in tropical forests, direct on-the-ground observations are still lacking in Southeast Asia. Here, using long-term plot monitoring records of up to half a century, we find that intact forests in Borneo gained 0.

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Tropical forests are global centres of biodiversity and carbon storage. Many tropical countries aspire to protect forest to fulfil biodiversity and climate mitigation policy targets, but the conservation strategies needed to achieve these two functions depend critically on the tropical forest tree diversity-carbon storage relationship. Assessing this relationship is challenging due to the scarcity of inventories where carbon stocks in aboveground biomass and species identifications have been simultaneously and robustly quantified.

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Lineages tend to retain ecological characteristics of their ancestors through time. However, for some traits, selection during evolutionary history may have also played a role in determining trait values. To address the relative importance of these processes requires large-scale quantification of traits and evolutionary relationships among species.

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  • Understanding treefall disturbances in Amazonian forests helps us learn about species coexistence and predict future ecosystem changes.
  • A study analyzed forests with different functional compositions, comparing their responses to treefalls by examining stem diversity and composition in both disturbed and undisturbed areas.
  • Results showed a slight increase in stem numbers and alpha-diversity after disturbances, but these changes were minimal (2-4%) and consistent across various forest types, indicating that treefall events have a limited impact on overall forest diversity.
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Understanding the processes that determine above-ground biomass (AGB) in Amazonian forests is important for predicting the sensitivity of these ecosystems to environmental change and for designing and evaluating dynamic global vegetation models (DGVMs). AGB is determined by inputs from woody productivity [woody net primary productivity (NPP)] and the rate at which carbon is lost through tree mortality. Here, we test whether two direct metrics of tree mortality (the absolute rate of woody biomass loss and the rate of stem mortality) and/or woody NPP, control variation in AGB among 167 plots in intact forest across Amazonia.

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We combined two existing datasets of vegetation aboveground biomass (AGB) (Proceedings of the National Academy of Sciences of the United States of America, 108, 2011, 9899; Nature Climate Change, 2, 2012, 182) into a pan-tropical AGB map at 1-km resolution using an independent reference dataset of field observations and locally calibrated high-resolution biomass maps, harmonized and upscaled to 14 477 1-km AGB estimates. Our data fusion approach uses bias removal and weighted linear averaging that incorporates and spatializes the biomass patterns indicated by the reference data. The method was applied independently in areas (strata) with homogeneous error patterns of the input (Saatchi and Baccini) maps, which were estimated from the reference data and additional covariates.

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While Amazonian forests are extraordinarily diverse, the abundance of trees is skewed strongly towards relatively few 'hyperdominant' species. In addition to their diversity, Amazonian trees are a key component of the global carbon cycle, assimilating and storing more carbon than any other ecosystem on Earth. Here we ask, using a unique data set of 530 forest plots, if the functions of storing and producing woody carbon are concentrated in a small number of tree species, whether the most abundant species also dominate carbon cycling, and whether dominant species are characterized by specific functional traits.

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Aim: The accurate mapping of forest carbon stocks is essential for understanding the global carbon cycle, for assessing emissions from deforestation, and for rational land-use planning. Remote sensing (RS) is currently the key tool for this purpose, but RS does not estimate vegetation biomass directly, and thus may miss significant spatial variations in forest structure. We test the stated accuracy of pantropical carbon maps using a large independent field dataset.

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Forest inventory studies in the Amazon indicate a large terrestrial carbon sink. However, field plots may fail to represent forest mortality processes at landscape-scales of tropical forests. Here we characterize the frequency distribution of disturbance events in natural forests from 0.

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