Juliana Stropp’s research while affiliated with The Joint Commission and other places

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Publications (150)


Advancing Amazonian botanical knowledge: a detailed ecological characterization of an open ombrophile forest, southwest Amazonian Brazil
  • Preprint
  • File available

March 2025

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25 Reads

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Juliana Stropp

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[...]

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Ana Malhado

Biodiversity inventories present excellent opportunities for ecological investigations and the classification of different threats to the community, nonetheless these applications are not frequently employed. Our main objective was to determine the tree and palm community within a one-hectare areas, also exploring the association between functional attributes and the projected threat of category for the future (by 2050) in a conservation unit situated within the Brazilian Amazon Deforestation Arc. We established a rectangular plot (10x1000m) to assess the community structure. Information on seed and fruit size attributes was obtained from the literature, along with data on the projected threat category. Overall, two taxa (Rubiaceae sp.and Rhizophoraceae sp.) were characterized only at the family level, 106 at the genera level (morpho-species) and 124 until binomial name. We found information about seed size for 55 genera. Medium-sized seeds were the most frequent, occurring in 22 genera, followed by large seeds (16), small seeds (6), and very small seeds (5). As for the projected threat status for 2050, we found that 28 species were classified as vulnerable and 16 species as endangered. In our plot we founded a few numbers of species with many individuals. We conclude that floristic studies associated with ecological approach carried out in the southwestern region of the Brazilian Amazon are rare and our study, provides a significant contribution to biodiversity knowledge.

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Widespread carbon-dense peatlands in the Colombian lowlands

March 2025

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29 Reads

Peatlands are some of the world’s most carbon-dense ecosystems and release substantial quantities of greenhouse gases when degraded. However, conserving peatlands in many tropical areas is challenging due to limited knowledge of their distribution. To address this, we surveyed soils and plant communities in Colombia’s eastern lowlands, where few peatlands have previously been described. We documented peat soils >40 cm thick at 51 of more than 100 surveyed wetlands. We use our data to update a regional peatland classification, which includes a new and possibly widespread peatland type, “the white-sand peatland,” as well as two distinctive open-canopy sub-types. Analysis of peat bulk density and organic matter content from 39 intact peat cores indicates that the average per-area carbon densities of these sites (490 to 1230 Mg C ha-1, depending on type) is 4 to 10 times the typical carbon stock of a (non-peatland) Amazonian forest. We used remote sensing to upscale our observations, generating the first data-driven peatland map for the region. The total estimated carbon stock of these peatlands of 1.91 petagrams (Pg C) (2-sigma confidence interval, 0.60 to 4.22) approaches that of South America’s largest known peatland complex in the northern Peruvian Amazon, indicating that substantial peat carbon stores on the continent have yet to be documented. These observations indicate that tropical peatlands may be far more diverse in form and structure and broadly distributed than is widely understood, which could have important implications for tropical peatland conservation strategies.


Structural equation models from pSEM analysis showing the relationships between traits, range size and species richness for 463 genera of tropical trees, that occur in the Americas, Africa, Asia or on multiple continents. Standardised effect sizes shown for significant relationships; arrow width is proportional to the standardised effect size. Non-significant relationships are shown with grey dotted lines.
Relationship between (a) range size and species richness, (b) mortality rate and range size and (c) maximum diameter and mortality rate for 463 genera of tropical trees. Genera are grouped by their distribution in American, African or Asian tropical forests or presence in multiple continents. Regression lines show GLS relationships from pSEM models shown in this figure; all relationships are significant and account for the phylogenetic relationships among lineages. Note that y-axes are scaled differently to optimise display of the relationships within each biogeographic setting.
Structural equation models and key univariate relationships from pSEM analysis between traits, mean species range size and species richness for 105 genera of Amazonian trees. Standardised effect sizes are shown for significant relationships and arrow width is proportional to the standardised effect size, apart from for significant quadratic relationship between mean species range size where arrow width where this is not possible to calculate. Boxes that are contiguous have significant correlated errors. Non-significant relationships are omitted for clarity. Univariate relationships between species richness and (A) mean species range size (AOO), and (B) genus population size, (C) mortality rate and mean species range size, (D) maximum diameter and (E) seed mass.
Phylogenetic relationships among species richness, high mortality rates and large range size for 463 genera of tropical trees. Tip circle size is proportional to the species richness of each genus. Coloured bars indicate genera with high mortality rates and/or large range sizes. High mortality rates are classified as > 2% a⁻¹; large range size classified as > 10 M km² (America), > 8 M km² (Africa), > 5 M km² (Asia) and > 20 M km² (multiple continents). Bar colour indicates the biogeographic setting of each genus. Named genera are those that share both high mortality rates and large range sizes; their distributed pattern illustrates that the association between large range size and high mortality rates is found across the phylogeny and is not restricted to certain clades. The blue segment on the phylogeny highlights the legumes, including the Dialioideae and Detarioideae subfamiles which are the only major clades on the phylogeny that do not demonstrate this association.
Large range sizes link fast life histories with high species richness across wet tropical tree floras

February 2025

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594 Reads

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. For Amazonian genera, we also explore whether traits are related to species richness via variation among genera in mean species-level range size. Lineages with higher mortality rates—faster life-history strategies—have larger ranges in all biogeographic settings and have higher mean species-level range sizes in Amazonia. These lineages also have smaller maximum diameters and, in the Americas, contain dioecious species. In turn, lineages with greater overall range size have higher species richness. Our results show that fast life-history strategies influence species richness in all biogeographic settings because lineages with these ecological strategies have greater range sizes. These links suggest that dispersal has been a key process in the evolution of the tropical forest flora.


Figure 1. Timeline of accepted species for the Amazonian palm flora. a) Number of accepted taxa over time, dashed lines mark the year of major taxonomic works; b) Number of described taxa per year that are still accepted versus not accepted by 2020.
Figure 2. Timeline of accepted species across genera in Amazonia. a) Number of accepted taxa by genus over time; pink dots indicate the year in which the current number of accepted species was reached, yellow highlights periods exceeding. b) Map depicting the median year in which the genera recorded in each grid cell reached their current number of accepted species, with light colours indicating more recent years.
Figure 3. Temporal decay in the proportion of accepted species. Proportion of accepted species per year among all described taxa over time: (a) all taxa, i.e., 175 accepted species and 798 heterotypic synonyms; (b) all taxa grouped into cohorts based on the year they were described; (c) taxa belonging to one of the three most species-rich palm tribe (Cocoseae, Euterpeae, or Geonomateae)
Figure 4. Proportion of accepted species among all described taxa (i.e., currently accepted and heterotypic synonyms). Maps depict shares for 1990 (a) and 2022 (b). Lighter shades represent a lower proportion of accepted species (i.e., more heterotypic synonyms per accepted species), while darker shades represent a higher share (fewer synonyms per species). Histograms next to the maps show average share per longitudinal and latitudinal band of 0.9 degrees (100 km). Scatterplots show the number of accepted species as a function of the number of heterotypic synonyms recognized in 1990 (c) and in 2022 (d); black line indicate 1:1 ratio.
Summary statistics of Kaplan-Meir curves, indicating time lag between taxonomic description and detection of heterotypic synonyms of Amazonian palms.
Impacts of taxonomic change on the Amazonian palm flora

December 2024

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176 Reads

Although species taxonomy is an ever-evolving discipline, taxonomic change is rarely accounted for in macroecological studies. By tracking the history of species description and synonymizations of more than 900 described names of Amazonian palms, we reveal shifts in species counts across space and time, the factors associated with taxonomic lumping, and the time needed to detect synonyms. The Amazonian palm flora results from a gradual accumulation of new descriptions, followed by decline due to the recognition of approximately 800 heterotypic synonyms. Most of these synonyms were detected in the mid-1990s, leading to a 4.5-fold decrease in species counts in ten years. The time to detect synonyms ranged from 3 to 227 years. Species with large populations, widespread distributions, early descriptions, also those that occur in Western Amazonia were more frequently lumped. The impact of taxonomic change on species counts is dependent on taxa, region, and time period considered. Biases in these counts are pronounced in the absence of taxonomic revisions, as undetected synonyms can inflate estimates of species richness. By quantifying the magnitude of such bias, this study offers conceptual and methodological insights on how incorporating taxonomic progress into macroecological analyses can provide a more accurate understanding of biodiversity patterns.


Functional, demographic, and integrative axis of variation. First principal components using leaf (specific leaf area; nitrogen, phosphorous, and carbon content, N, P, and C) wood (wood density, and maximum diameter, Diametermax) and demographic characteristics (maximum growth rate, Growth R.max; mortality rate, Mortality R. and seed mass). Only genera with complete data for all variables are represented (197 genera). Variable contributions are shown as arrows, coloured in light blue (leaf and wood functional traits) and red (demographic characteristics). Principal‐axis interpretation is shown in bold letters. Pictures of seeds (fruit when no seed images are available), leaves and whole trees for four species representing the four extreme strategies are shown. Phylogenetic signal and amount of variance explained by each axis in percentage are shown for each axis.
Variance–covariance networks. Trait correlation networks among leaf (specific leaf area; nitrogen, phosphorous and carbon content, N, P, and C), wood (wood density, and maximum diameter, Diametermax) and demographic characteristics (maximum growth rate, Growth R.max; mortality rate, Mortality R. and seed mass). Leaf and wood functional traits are represented as nodes (circles) in light blue and demographic functional traits are shown in light red. Edges (lines connecting nodes) represent (a) total correlation, (b) phylogenetically conserved portion of the correlation and (c) non‐phylogenetically conserved portion of the total correlation. Solid green lines represent statistically significant positive correlation coefficients and dashed red lines represent significant negative correlation coefficients. Line width is proportional to the absolute value of the correlation coefficient. Pie charts in b and c represent trait variance related to the phylogeny (i.e., phylogenetic signal) and trait variance not related to the phylogeny, respectively. Node size is proportional to the number of connections per node (i.e., degree). Three network metrics are shown in each case.
Functional and demographic axis correlations. Total, phylogenetically conserved and non‐phylogenetically conserved correlation portions between functional and demographic principal components. Phylogenetic signal is also shown and represented as pie charts for each principal component. Values for genera with complete observations are plotted on the genus‐level phylogeny. Bars are coloured by taxonomic order and the most important taxonomic order names are shown. Signif. codes: “***”: p < 0.001; “ns”: p > 0.1.
Phylogenetic conservatism in the relationship between functional and demographic characteristics in Amazon tree taxa

November 2024

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826 Reads

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2 Citations

Leaf and wood functional traits of trees are related to growth, reproduction, and survival, but the degree of phylogenetic conservatism in these relationships is largely unknown. In this study, we describe the variability of strategies involving leaf, wood and demographic characteristics for tree genera distributed across the Amazon Region, and quantify phylogenetic signal for the characteristics and their relationships. Leaf and wood traits are aligned with demographic variables along two main axes of variation. The first axis represents the coordination of leaf traits describing resource uptake and use, wood density, seed mass, and survival. The second axis represents the coordination between size and growth. Both axes show strong phylogenetic signal, suggesting a constrained evolution influenced by ancestral values, yet the second axis also has an additional, substantial portion of its variation that is driven by functional correlations unrelated to phylogeny, suggesting simultaneously higher evolutionary lability and coordination. Synthesis. Our results suggest that life history strategies of tropical trees are generally phylogenetically conserved, but that tree lineages may have some capability of responding to environmental changes by modulating their growth and size. Overall, we provide the largest‐scale synopsis of functional characteristics of Amazonian trees, showing substantial nuance in the evolutionary patterns of individual characteristics and their relationships. Read the free Plain Language Summary for this article on the Journal blog.


The pace of life for forest trees

October 2024

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1,098 Reads

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6 Citations

Science

Tree growth and longevity trade-offs fundamentally shape the terrestrial carbon balance. Yet, we lack a unified understanding of how such trade-offs vary across the world’s forests. By mapping life history traits for a wide range of species across the Americas, we reveal considerable variation in life expectancies from 10 centimeters in diameter (ranging from 1.3 to 3195 years) and show that the pace of life for trees can be accurately classified into four demographic functional types. We found emergent patterns in the strength of trade-offs between growth and longevity across a temperature gradient. Furthermore, we show that the diversity of life history traits varies predictably across forest biomes, giving rise to a positive relationship between trait diversity and productivity. Our pan-latitudinal assessment provides new insights into the demographic mechanisms that govern the carbon turnover rate across forest biomes.


Variation in composition and relative abundance of 5188 tree species in 2023 forest-inventory plots (1 ha) across Amazonian forests
Ordination biplots showing the two first principal components with inventory plots coloured by (a) ecological forest categories based on hydrology and soil characteristics and (b) geographic regions. a Ecological categories: VA, Várzea forests; SW, swamp forests; IG, igapó forests; PZ, white-sand (podzol) forests; TFGS, terra-firme on the Guiana Shield; TFBS terra-firme on the Brazilian Shield, TFPB terra-firme on the Pebas sedimentary basin. b Geographical regions: CA Central Amazonia, EA Eastern Amazonia, SA Southern Amazonia, GS Guiana Shield, NWA Northwestern Amazonia, SWA Southwestern Amazonia. Arrows indicate vectors constructed with envfit()⁸¹ for 14 environmental predictors: Flooded flooding vs. non-flooding terrains, WTD water table depth, Temp_avg average annual temperature, MCWD maximum climatological water deficit), Annal_ppt Annual Rainfall, Podzol White Sand vs. Clay-Silt terrains, ALOS_MTPI Multiscale Topographic Position Index, TopoDiver Topographic Diversity Index, Ppt_sea precipitation seasonality, ALOS_3D elevation, Temp_range temperature range, Temp_seas temperature seasonality, pH soil pH, SB soil sum of bases.
Variation in interpolated composition and relative abundance of 5,188 tree species in 47,441 grid cells (0.1-degree squares) across Amazonian forests
Ordination biplots showing the two first DCA axes with grid cells coloured by geographic region: CA Central Amazonia, EA Eastern Amazonia, GS Guiana Shield, NWA Northwestern Amazonia, SWA Southwestern Amazonia, SA Southern Amazonia. Black marks show the average position for the abundance distribution of the 20 tree species with the highest interpolated total abundance. The distributions of these species in geographical and ordination space are shown in Supplementary Figs. 5–24.
Maps of the broad-scale spatial variation of tree species composition across Amazonia
Scores of (a) DCA Axis 1, (b) DCA Axis2 (both from Fig. 2). In both maps, grey lines are the isolines linking equal levels of DCA scores, with the spatial distance between consecutive isolines being inversely related to the rate of compositional change across space and used to mark sharp compositional turnover zones (if closer together) or smoother compositional turnover (consecutive isolines further apart). In (a), the blue isoline corresponds to DCA score of 1.0 and the red isoline to soil pH = 5 (west of that line having a soil pH >5). In (b), the red isoline corresponds to maximum climatological water deficit (MCWD) = − 275 mm (south of that line having MCWD < −275), and the blue isoline to MCWD = −100 (west that line having MCWD > −100). The dark green line delimits the Amazonian tropical forests⁹⁵, with white areas within these limits corresponding to montane areas (above 500 m elevation) and non-forested habitats such as savannas. Major river courses are shown in blue. Base map source for countries: https://www.naturalearthdata.com/; rivers⁶¹. Maps created with custom R⁸⁸ script.
Niche positions and niche breadths of 5188 tree species along environmental and compositional gradients in Amazonia as calculated with data from 2023 1-ha forest-inventory plots
Gradients along the x axis: (a) Annual rainfall (mm); (b) maximum climatological water deficit (mm); (c) log(soil sum of bases (Ca+Mg+K)); (d) soil acidity (pH); (e) DCA1 scores from Fig. 2; and (f) DCA2 scores from Fig. 2. The black dots mark the mean niche position or optimum (weighted average value) for each species and the grey lines depict the niche breadths or tolerance (±standard deviation for the variable in sites where the species was observed). The red lines show the mean niche breadth (determined by loess regression). Coloured lines correspond to the lines also visible in Fig. 3 (DCA1, DCA2, pH, MCWD). Species are shown from bottom to top in the order of increasing niche position. (See supplementary data 1 for the niche breadth and position values of all tree species).
The associations of species niche positions on compositional and environmental gradients
In the first row the species niche positions on the DCA1 scores gradient in relation to edaphic niche position gradients: (a) Soil sum of bases, (b) Soil pH. The second row shows the species niche positions along the DCA2 scores gradient in relation to climatic gradients: (c) Annual Rainfall, (d) Maximum climatological water deficit. Plot colours correspond to colours in Fig. 3. Coloured lines correspond to the lines (DCA1, pH, MCWD) also visible in Fig. 3.
The biogeography of the Amazonian tree flora

October 2024

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1,788 Reads

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1 Citation

Communications Biology

We describe the geographical variation in tree species composition across Amazonian forests and show how environmental conditions are associated with species turnover. Our analyses are based on 2023 forest inventory plots (1 ha) that provide abundance data for a total of 5188 tree species. Within-plot species composition reflected both local environmental conditions (especially soil nutrients and hydrology) and geographical regions. A broader-scale view of species turnover was obtained by interpolating the relative tree species abundances over Amazonia into 47,441 0.1-degree grid cells. Two main dimensions of spatial change in tree species composition were identified. The first was a gradient between western Amazonia at the Andean forelands (with young geology and relatively nutrient-rich soils) and central–eastern Amazonia associated with the Guiana and Brazilian Shields (with more ancient geology and poor soils). The second gradient was between the wet forests of the northwest and the drier forests in southern Amazonia. Isolines linking cells of similar composition crossed major Amazonian rivers, suggesting that tree species distributions are not limited by rivers. Even though some areas of relatively sharp species turnover were identified, mostly the tree species composition changed gradually over large extents, which does not support delimiting clear discrete biogeographic regions within Amazonia.


Fig. 1 | Outline of all methodological and analytical steps required to construct
the ignorance map for the order Orthoptera (Arthropoda, Insecta) according to
digitally-accessible data. a We compile all digitally accessible occurrence records for
Orthoptera (see Table 1). b We applied several filters to the records, which were
divided into two groups according to their taxonomic resolution: 1°) species and
subspecies level, and 2°) above species up to order level. c Within each 100 km-width
grid cell, we calculated five different data quality indices. d The indices were subsequently mapped. e five of the metrics were combined by summing them in the
form of an ensemble, which was then rescaled to range from 0 to 1, and finally
subtracted from 1, in order to create a single final ignorance map.
Fig. 2 | Maps of the five indices (a–e) used in this study to assess the quality of
digitally-accessible data for the global distribution of the order Orthoptera
(Arthropoda, Insecta). a Taxonomic completeness, values close to 1 indicate that
most records are identified to the species taxonomic level. b Survey completeness,
values close to 1 indicate an almost complete inventory. c Temporal completeness,
values close to 1 indicate maximum temporal coverage. d Survey evenness, values
close to 1 indicate no local bias in the distribution of the numbers of records per
species. e Temporal evenness, values close to 1 indicate no local bias in the distribution of samples per year.
Fig. 3 | Map of ignorance on the global distribution of the order Orthoptera (Arthropoda, Insecta) based on digitally-accessible data. Lower ignorance values indicate higher levels of knowledge, pinpointing areas with good data quality that only require some refinements to provide high-quality inventories.
Fig. 4 | Density curves of the values of the data quality indices generated by different threshold configurations for taxonomic, survey and temporal completeness, and survey and temporal evenness. a density curves for taxonomic
Table 1 | Digital repositories accessed to build the global dataset of Orthoptera
Mapping ignorance to uncover shortfalls in the knowledge on global Orthoptera distribution

August 2024

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542 Reads

npj Biodiversity

Understanding the spatiotemporal distribution of species is fundamental for ecology, evolution and conservation. However, this and other aspects of biodiversity knowledge suffer from shortcomings and biases. Quantifying and mapping biodiversity knowledge shortfalls is therefore crucial to ascertain the current quality and completeness of biodiversity data, prioritize sites for (re)sampling, or plan conservation interventions. Here, we compile a comprehensive dataset of Orthoptera occurrences, and use it to create a global 'ignorance map' based on taxonomic, survey and temporal completeness, and on survey and temporal evenness of the inventories. We hypothesize that knowledge of Orthopteran biodiversity is relatively poorer in tropical regions compared to temperate regions, and in the south compared to the northern hemisphere. Due to biocultural factors, we expect regions in the tropics and the Global South to have lower levels of completeness and evenness in time and space for all the studied aspects of biodiversity information. Our findings show gaps in the knowledge of orthopteran distributions, which are characterized by low survey and temporal evenness in tropical regions, but also in many temperate regions (e.g., most of the countries in temperate Asia). The combination of multiple dimensions of biodiversity knowledge (taxonomic, spatial and temporal) reveals that biogeographic interpretations based on only one component can lead to an illusion of completeness. We believe that the novel framework used in our study can guide future research towards building more accessible maps of biogeographical ignorance for entire groups.


Do aposematic species have larger range sizes? A case study with neotropical poison frogs

April 2024

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104 Reads

Journal of Biogeography

Aim Aposematic animals, i.e., those that are defended and warn potential predators through signals, are suggested to have resource‐gathering advantages against non‐aposematic ones. We here explore this in a biogeographic framework expecting that aposematic species are better dispersers, which translates into larger geographic range size. Location South America. Taxon Poison frogs (Amphibia; Aromobatidae and Dendrobatidae). Methods We use 43 toxic and 26 non‐toxic poison frog species from the lowlands only as representatives of aposematic and non‐aposematic study organisms, respectively. Realised and potential geographic ranges are calculated using minimum convex polygon and species distribution modelling methods, respectively. Accounting for species body size and phylogeny, we test if both range and aposematism are correlated using linear mixed‐effects models. Results Aposematic and non‐aposematic species neither differ in realised nor in potential geographic range size. There was no effect on body size. Main Conclusions The role of aposematism is not yet as clear as suggested and determinants of poison frog range sizes are multifaceted. A more integrative approach is needed using the information on behaviour, predation risk, and reproductive biology to assess the role of aposematism on observed species distributions. Such data are not yet available for most species, neither poison frogs nor other aposematic animals.



Citations (67)


... Plants increase their productivity and tend to die younger because they have invested all their energy in growth rather than defense and longevity. For example, plants of the same species in fertile soils tend to grow faster and have lower wood density, so they are more likely to break in stronger winds (23,56,71,72). ...

Reference:

Mapping giant-tree density in the Amazon
Phylogenetic conservatism in the relationship between functional and demographic characteristics in Amazon tree taxa

... Additionally, due to their long lifespans, trees invest in unique structures and life-history strategies for surviving disturbance, pests (e.g. wood-and bark-boring insects), and extreme weather events, including thick bark, dense wood, larger seeds, and delayed seed production (Scheffer et al. 2014, Pausas 2015, Lantschner and Corley 2023, Bialic-Murphy et al. 2024. Collectively, these factors lead to unique biogeographic constraints relative to ground-hugging plants, particularly in extreme arid, cold, and wind-prone regions (Götmark et al. 2016, Olson et al. 2018, Körner 2021, all of which affect their niche spaces, habitat preferences, and range limits (Morin and Chuine 2006, Morin and Lechowicz 2013, Aubin et al. 2016. ...

The pace of life for forest trees
  • Citing Article
  • October 2024

Science

... The large variability across space of the Amazon forest is observed for species (Luize et al., 2024) as well as forest structure and biomass (de Conto et al., 2024;Saatchi et al., 2011), and the large-scale patterns of height observed in our data reinforce that the Amazon forest is not a uniform and homogeneous forest, for example with the hotspot of high trees in the Guiana Shield, found in this study and in Gorgens et al. (2019). This is particularly concerning for conservation efforts because deforestation that still occurs in the Amazon operates mostly by removing almost entirely large patches of continuous areas of forest, Fig. 14, which is likely the best manner to remove forests that are unique. ...

The biogeography of the Amazonian tree flora

Communications Biology

... Occurrences were filtered taxonomically to include only those identified to species, and 258 geographically to include only those with precise and accurate coordinate information 259 that did not suggest specimens were located in biodiversity institutions, the sea, in the 260 centroid of a country, or in countries other than those listed on the physical label. These 261 steps help to ensure that metadata is robust and corresponds to the right species 262 (Ronquillo et al., 2024), and further specifics can be found in Appendix S2. The 263 taxonomy of the resulting occurrences was standardised according to the most recent 264 revision (BLINDED, 2024; see Appendix S2) and cropped to the same extent as the 265 bioclimatic variables, and this is henceforth referred to as the 'GBIF set'. ...

OCCUR Shiny application: A user‐friendly guide for curating species occurrence records
  • Citing Article
  • March 2024

... 1. Expand protected areas ○ Establish and enforce new protected zones focused on freshwater biodiversity, particularly in vulnerable floodplain regions (Correa et al. 2022). ○ Prioritize areas critical for the reproduction and survival of migratory fish and aquatic species (Householder et al. 2024). ...

One sixth of Amazonian tree diversity is dependent on river floodplains

Nature Ecology & Evolution

... Taxonomic uncertainty can impact macroecology and conservation by biasing model inferences or reducing the applicability of biodiversity data (Isaac, Mallet and Mace, 2004;Cayuela, De la Cruz and Ruokolainen, 2011;Duarte et al., 2014;Maldonado et al., 2015;Stropp et al., 2022;Lessa et al., 2024). However, its effects on biodiversity analysis are often neglected. ...

How taxonomic change influences forecasts of the Linnean shortfall (and what we can do about it)?
  • Citing Article
  • March 2024

Journal of Biogeography

... Furthermore, to investigate the potential influence of sampling bias on β-diversity patterns, the β-diversity analysis was systematically performed using grid data filtered by varying sample completeness thresholds (minimum 40%; Text S5). The sampling completeness for each grid was evaluated referring to the methodology established by Alves-Martins et al. (2024), using the function KnowB in the R package KnowBR (Lobo et al. 2018). ...

Sampling completeness changes perceptions of continental scale climate–species richness relationships in odonates
  • Citing Article
  • February 2024

Journal of Biogeography

... ref. 45). However, quantitative tests of the biogeographical pattern of Amazonian tree communities are scarce and based on incomplete presence/absence data 44,48 or on genus-level identifications and very coarse spatial resolution 29 ; but see Luize et al. 49 , unveiling the role of dispersal and phylogenetic niche conservatism on phylogenetic compositional changes over Amazonia. ...

Geography and ecology shape the phylogenetic composition of Amazonian tree communities

Journal of Biogeography

... Exploring the relationship between patterns of adaptive and neutral genetic structuring may further clarify the application of genetic markers in in natural areas management. By focusing restoration genetic studies on highly abundant and ecological significant species that are common targets in environmental restoration practices 45 , it is possible to largely eliminate the need for interpretative proxies and generalisations 46 . ...

Consistent patterns of common species across tropical tree communities

Nature

... Therefore, this decrease in species number and frequency towards the south (with the subsequent increase in aridity) is expected. Indeed, moss diversity peaks northwards compared with other plant groups (Mateo et al., 2016;Ronquillo et al. 2023). ...

Exploring the impact of data curation criteria on the observed geographical distribution of mosses