ORCID Profile
0000-0002-1145-824X
Current Organisation
James Cook University
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Publisher: Springer Science and Business Media LLC
Date: 09-2022
Publisher: Springer Science and Business Media LLC
Date: 09-2023
Publisher: Springer Science and Business Media LLC
Date: 21-11-2019
Publisher: Wiley
Date: 02-02-2021
DOI: 10.1111/BTP.12894
Abstract: Forest community dynamics is a topic of great interest in times when the global carbon budget is a widespread concern due to climate change. Among its effects, longer periods of drought and liana proliferation, coupled with land use change, may endanger tropical forest carbon sinks. Here, in a 10.3 ha s ling of six Atlantic semideciduous forests, we investigated the effects of liana crown occupancy and large‐stemmed lianas, as well as their interactions with climate and soil, on forest dynamics. We expected that harsh environmental conditions would enhance the negative effects of lianas on forest productivity. Our hypothesis was corroborated by the findings that the positive effect of lianas on tree mortality increases under drier conditions, as well as their negative effect on tree recruitment. In addition, liana crown occupancy was the best predictor of net aboveground woody biomass productivity, which decreases as liana crown occupancy increases. Our study provides additional evidence of indirect climate change impacts on the tropical forest carbon sink by increasing the negative effects of liana crown occupancy on tree biomass productivity. Abstract in Portuguese is available with online material.
Publisher: Wiley
Date: 10-2023
Publisher: Instituto Nacional de Investigacion y Tecnologia Agraria y Alimentaria (INIA)
Date: 08-06-2021
Abstract: Aim of study: Aassessing the existence of consistent co-occurrence between tree species that characterize seasonal tropical forests, using the association rules analysis (ARA), that is a novel data mining methodology and evaluate evaluating the taxonomic and functional similarities between associated species.Area of study: forty-four seasonal forest sites with permanent plots (40.2 ha of total s le) located in Southeast Brazil, from which we obtained species occurrences.Material and methods: we applied association rules analysis (ARA) to the dataset of species occurrence in sites considering the criteria of support equal to or greater than 0.63 and confidence equal to or greater than 0.8 to obtain the first set of associations rules between pairs of species. This set was then submitted to Fisher’s criteria exact p-value less than 0.05, lift equal to or greater than 1.1 and coverage equal to or greater than 0.63. We considered these criteria to be able to select non-random and consistent occurring associations.Main results: We obtained a final result of 238 rules for semideciduous forest and 11 rules for deciduous forests, composed of species characteristic of vegetation types. Co-occurrences are formed mainly by non-confamilial species, which have similar functional characteristics (potential size and wood density). There is a difference in the importance of co-occurrence between forest types, which tends to be less in deciduous forests.Research highlights: The results point to out the feasibility of applying ARA to ecological datasets as a tool for detecting ecological patterns of coexistence between species and the ecosystems functioning.Keywords: data mining coexistence semideciduous forests deciduous forests biotic interaction.
Publisher: American Association for the Advancement of Science (AAAS)
Date: 18-12-2020
Abstract: The carbon sink of southeastern Brazil seasonal forests is decreasing over time in 2013, the carbon sink became a carbon source.
Publisher: Wiley
Date: 25-01-2021
Abstract: The extent (or lack) of phylogenetic signal for key ecological traits reveals the role of evolutionary processes on present‐day ecosystem function and hints on future ecological trends under climate change scenarios. This approach has been applied to South American tropical moist forests, but not to the highly threatened seasonally dry tropical forests (SDTF), despite the acknowledgement of their unique evolutionary history. To fill this knowledge gap, we investigated the legacy of evolutionary processes on vital ecological characteristics among SDTF trees: regional dominance, tree size and soil preference. We used tree community data on 313 plots of SDTF (12.52 ha) and locally collected soil data in central‐eastern Brazil. For each assessed trait (three for regional dominance, three for tree size and nine for soil preference), we investigated the legacy of evolution using two different approaches: calculating the extent of phylogenetic signal and comparing the fit of four different models of evolution. Above‐ground woody biomass and tree size showed strong phylogenetic signal. Most of the SDTF biomass stock was concentrated on a few large‐sized and closely related tree genera. Among the soil preference variables, only phosphorus displayed significant, albeit weak, phylogenetic signal. Synthesis . Our study is the first to show that evolutionary constraints related to tree size significantly determine regional biomass stocks of seasonally dry tropical forests (SDTF) in a few closely related tree lineages. This suggests that even isolated SDTF fragments with low taxonomic and phylogenetic ersity can play an important role in the global carbon cycle, storing disproportionally large amounts of carbon in trees that belong to high‐biomass lineages. Whether these lineages also share climate change‐induced mortality risk deserves future investigation, as they are largely responsible for the maintenance of regional SDTF biomass stocks.
Publisher: Springer Science and Business Media LLC
Date: 11-12-2020
Publisher: Wiley
Date: 29-07-2021
Abstract: Large‐scale data compilation is increasing steadily in tropical forest research, but the lack of standardized methods for data collection limits drawing inference from large datasets and cross‐biome analyses. Different inclusion methods and minimum tree diameter threshold are among these varying factors. To tackle this issue, we evaluated how different approaches for tree s ling affects our understanding of ersity and functioning in different tropical vegetation types. We used a unique dataset of 44 inventory plots (43.54 ha) encompassing an aridity gradient: evergreen moist forests, semideciduous and deciduous tropical forests. Data were collected using the by‐tree inclusion method, in which, all stems are measured if the equivalent diameter of the tree reaches the minimum threshold. We simulated the impact of adopting different inclusion methods (by‐stem and by‐tree) and different minimum diameter thresholds on the estimation of number of trees and stems, biomass and species richness. We used linear and nonlinear mixed models to investigate the effect of minimum diameter threshold and inclusion method on our different response variables. We also evaluated species chance to be s led under different minimum inclusion criteria. Inclusion method and minimum diameter threshold mainly affect the estimation of number of trees and stems and species richness, especially in deciduous and semideciduous forests, where resprouting is a prevalent strategy. In these forests, many trees that have several stems do not reach the minimum size in idually when adopting the by‐stem method, yet they do reach the minimum size threshold when all stems are considered together. For these environments under water stress, our analysis showed that using large minimum sizes, such as the 10 cm typically used in rainforests, implies large s ling losses, especially when used jointly with the by‐stem inclusion method. The by‐tree inclusion method represents an alternative approach that offers a more reliable s ling in different vegetation types, particularly in those habitats where resprouting is a widely encountered strategy along all age classes. We demonstrate the infeasibility of adopting broad and standard minimum thresholds for different tropical vegetation types, particularly considering their widely different ecological strategies.
No related grants have been discovered for Natalia de Aguiar-Campos.