Abstract
Although taxonomy is an evolving discipline, taxonomic change is rarely accounted for in macroecological studies. By tracking the history of species descriptions and synonymizations 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 175 Amazonian palm species known to date are the result of a gradual accumulation of new descriptions and a few distinct revision events that led to the recognition of approximately 800 heterotypic synonyms. Most of these were detected after the mid-1990s and caused an 80% decrease in species counts within just three decades. The time to detect synonyms ranged from 3 to 227 years. Species with a large population, widespread distribution and those described in early years were more frequently lumped. This suggests undetected synonyms inflate species richness unevenly across taxa and regions. These findings highlight the importance of taxonomic revisions for our understanding of biodiversity. Systematic efforts across lineages are needed to advance plant taxonomy, thereby strengthening ecological analyses and conservation assessments.
Keywords: Amazonia, species description, taxonomic lumping, Arecaceae, taxonomic change, species richness, taxonomic uncertainty, taxonomic data integration
1. Introduction
About four thousand new plant names are proposed each year. Only half of these result from new field discoveries; the other half stems from the taxonomic revision of already described species [1]. Such revisions often result in lumping, splitting or reassignment of species to different genera. When substantial, these changes can alter species counts across taxa and reshape the geographic patterns of species richness [2]. Yet, their impact on biodiversity patterns remains largely unquantified. This knowledge gap is particularly problematic for hyper-diverse ecosystems like the Amazon rainforest, where new species discoveries and revisions are common [3] and may even affect global species counts [4].
Taxonomic lumping and reassignments are frequent in many plant groups [5]. Taxonomic lumping happens when species boundaries are re-evaluated and modified, resulting in merging two or more previously accepted species into a single one. Reassignments, on the other hand, occur when relationships among species are reinterpreted, leading to species being moved from one genus to another. Both lumping and reassignments generate synonyms (i.e. duplicated names for the same taxon; see figure 1 and electronic supplementary material for definitions). Overall, synonyms tend to account for 60% of all given plant names [6]. The number of synonyms across flowering plants (angiosperms) is not homogeneous, but it varies by several orders of magnitude across taxa. Half of the angiosperm species are not associated with a single synonym (i.e. have only a single accepted name assigned to their original description), whereas a few angiosperms have been accumulating up to 300 synonyms [7]. The identification of synonyms may take only a few years or up to centuries after the first proposal of a name [8].
Yet, our understanding of the impacts of taxonomic change on plant species diversity is mainly derived from theoretical models [9] or from other biological groups, such as birds or amphibians [10]. Complementing the theoretical work with empirical studies has long been hampered by limited data availability [11]. However, a growing volume of digital resources, including botanical taxonomic treatments (e.g. monographs, revisions and synopses) and easy access to plant nomenclatural databases [12,13], opens new opportunities to explore changes in species taxonomy.
Here, we analyse 200 years of taxonomic descriptions and lumping for all Amazonian palms to uncover changes in the number of accepted species across genera and regions. Our study addresses the following three questions. (i) How did the counts and proportion of accepted species vary over time across Amazonia? (ii) How long can it take to recognize an accepted species as a synonym? (iii) Which factors are associated with taxonomic lumping?
We chose Amazonian palms as a model group because they are among the best-studied groups of the tropical flora, with a wealth of species descriptions and revisions published since the eighteenth century [14]. Together with contemporary field sampling [15], this provides rich baseline data for pertinent analyses. We also think that a deeper understanding of taxonomic progress in Amazonia is needed. In times of climate change, global mass extinction and decreasing research budgets for taxonomy, we risk losing many species before they are adequately described or classified [16]. Thus, we discuss the implication of changes in species taxonomy for macroecology and biodiversity conservation that rely on species counts and identities.
2. Material and methods
(a). Establishing a checklist of Amazonian palms and associated synonyms
We considered as Amazonian palms all palm species that occur at elevations below 500 m a.s.l. and within the biogeographic limits of Amazonia [17]. To create a broadly accepted checklist of Amazonian palms, we included only species (excluding hybrids, varieties and subspecies) listed in any of the four checklists: Henderson (1995) [18], Cardoso et al. (2017) [19], ter Steege et al. (2019) [3] and Flora e Funga do Brasil (2020) [20]. Differences between these four lists reflect variations in the geographical boundaries of Amazonia and taxonomic interpretations of what constitutes an accepted species or a synonym. Our initial broadly accepted checklist contained 240 species (electronic supplementary material, table S1).
We then verified the taxonomic status of the 240 species names against four taxonomic data portals: Tropicos [21], Plants of the World Online (POWO) [22], World Flora Online (WFO) [23] and Flora e Funga do Brasil [20]. For all names identified as synonyms or unplaced in any of the data portals, we obtained the respective accepted name. This standardization resulted in a checklist of 206 accepted species names. All names were found at least in one data portal; the unique identifiers provided by the individual data portals are given in electronic supplementary material, table S1.
Out of these 206 species, 53 were not included in Henderson [18], which is the most recent checklist of Amazonian palms compiled by an Arecaceae specialist. We thus verified the geographical range of these 53 species in Flora do Brasil [20], Field guide to the Palms of the Americas [24], the website Palmweb [25], and the pertinent taxonomic literature. This cross-referencing identified 31 species that do not seem to occur below 500 m a.s.l within the biogeographic limit of Amazonia. These species were excluded from our analyses. Therefore, our final checklist includes 175 accepted palm species, described until 2012 (the last year with consolidated data in the checklists of Cardoso et al. [19] and ter Steege et al. [3]). Our list comprises species of different size and growth forms (e.g. large tall-stemmed palms, large to small acaulescent palms, small palms and climbing palms [26]).
We also retrieved the following information from the four taxonomic portals: (i) a list of homotypic and heterotypic synonyms associated with the 175 currently accepted palm species; and (ii) ancillary bibliographical information (i.e. author, title of the taxonomic work and year of publication) for the currently accepted species and their synonyms. We manually checked all names listed as synonyms (n = 1285) in the four taxonomic portals. We corrected obvious misspellings and flagged names that could not be assigned to a known species, as they were illegitimate or not validly published designations (electronic supplementary material, table S1). We also flagged names that we could not associate with a publication or which were not available in the database of the International Plant Names Index [27]. Such manual checks were necessary because information on synonyms retrieved from the four taxonomic portals may be inconsistent.
We then selected only heterotypic synonyms, which resulted from merging previously accepted species that were described based on different types of specimens (figure 1). Heterotypic synonyms were identified by querying the Plants of the World database with the R package ‘kewr’ [13] and by consulting taxonomic works, in which the currently accepted species have their synonyms (or unplaced names) mentioned. Finally, we manually checked the earliest taxonomic work, including monographs, synopses and revisions, to determine the year of synonymization for all heterotypic synonyms. These taxonomic works were identified through searches of main virtual botanical databases, such as Tropicos [21], POWO [22] and WFO [23]. As our focus is on temporal trends in the number of accepted palm species, we considered only heterotypic synonyms that are recognized at species level. This is justified because species is the analytical unit for most (macro)ecological and conservation studies. We thus excluded subspecies, hybrids and varieties from our analyses.
Figure 1.
Definition and examples of homotypic and heterotypic synonyms [28–35].
(b). Herbarium records of Amazonian palms
We assessed the spatial variation in the proportion of accepted species in all described taxa (accepted species plus heterotypic synonyms) across Amazonia. For this, we used the location of 15 446 herbarium records of all 175 species of Amazonian palms, which were retrieved from the Global Biodiversity Information Facility [36]. We screened all records and flagged those with uncertain geographical coordinates and/or missing taxonomic information at species level. This filtering led to a dataset of 8249 herbarium records for 170 palm species. The ‘rgbif’ R package [37] was used to retrieve records, and the ‘bdc’ R package [38] to flag records with potential errors.
(c). Data analysis
(i). Temporal trends in the proportion of accepted species
We followed Alroy [8] and calculated for each year n the proportion of accepted species (P) in all described taxa as:
where A stands for the number of accepted species and S denotes the number of heterotypic synonyms in year n. To visualize the time needed to recognize a previously accepted species as a heterotypic synonym, we used Kaplan–Meier curves [39]. Such curves are commonly used in medical research to visualize the probability of an event (e.g. death) over time for different treatment groups. Here, we considered the year of taxonomic description as the base year of the observation period (t0) and the year of synonymization as the year in which a taxonomic event is recorded (t1), and from which onwards a name no longer corresponds to an accepted species. The Kaplan–Meier curves were established considering only heterotypic synonyms. Both the proportion of accepted species in all described taxa and the Kaplan–Meier curves were calculated for: (i) all taxa; (ii) taxa grouped cohorts according to year of description (i.e. until 1900; between 1901 and 1950; between 1951 and 1980 and between 1981 until 2012); and (iii) taxa belonging to the three most species-rich palm tribes (Cocoseae, Euterpeae and Geonomateae). The Kaplan–Meier curves were established with the ‘survival’ [40] and ‘survminer’ [41] R packages.
(d). Spatial trends in the proportion of accepted species
To assess whether species have a higher number of heterotypic synonyms in certain regions of Amazonia, we mapped the proportion of accepted species in all described taxa. A lower proportion of accepted species in a given area indicates a relatively high number of heterotypic synonyms, suggesting a higher number of duplicated descriptions for the same species. This approach allows us to identify spatial patterns in synonymy across Amazonia. For this, we used a grid of resolution of 100 × 100 km, which covered the Amazonian region [17] and was projected to the South America Albers Equal Area Conic (crs = ESRI 102033). Based on the herbarium records retrieved from GBIF, we calculated for each grid cell the proportion of accepted species relative to the total number of names (i.e. accepted species plus heterotypic synonyms). We also determined the average proportion of accepted species for all cells, within latitudinal and longitudinal bins of 100 km. Maps of the proportion of accepted species were obtained for two distinct periods: (i) up to 1990 and (ii) up to 2020. We chose these periods because they align with substantial changes in the total number of accepted palm species in Amazonia.
(e). Correlates of taxonomic lumping
We tested whether taxonomic lumping has been more frequent for species that occupy large areas, were described in early years and have a large population. To do so, we tested for correlations between (i) number of heterotypic synonyms, (ii) year of first taxonomic description, (iii) size of the species geographic range, (iv) number of individuals and (v) estimated population size for each accepted species. Pearson correlation coefficients were calculated using the function corphylo of the ‘ape’ R package [42]. The phylogenetic relationship among species was extracted from the maximum clade credibility phylogenetic tree for palms proposed by Onstein et al. [43]. The established correlations reflect to some extent the interplay between species characteristics and taxonomic revisions, as taxonomic lumping arguably expands species’ geographic ranges and their population size.
The geographic range was calculated based on range maps for Amazonian palms, which were obtained with the function BIEN_ranges_load_species from the ‘BIEN’ R package [44]. Range maps were re-projected to South America based on Albers Equal Area Conic projection. We then calculated the area (km2) of polygons representing the known range of a species. We considered the entire geographic range of each species, encompassing Amazonia and other biomes in the Neotropics. As these maps are based on collection localities of herbarium vouchers, their accuracy depends on the number of vouchers available [44]. Range maps were available for 155 species of the 175 species in our dataset.
Observed and estimated population sizes were obtained from ter Steege et al. [15]. Observed population size represents the abundance of individual species in 1170 tree inventory plots established across Amazonia, whereas the estimated population size was obtained by modelling species abundance and density for Amazonia (see [15] for details). Observed and estimated population sizes were available for 57 species of the 175 species in our dataset.
3. Results
Our dataset contains 1460 unique names, including 175 accepted species and 1285 names that comprise both homotypic and heterotypic synonyms, as well as unplaced names or designations (e.g. orthographic variants, illegitimate names or nomina nuda). Of the 175 accepted species, 68 had no synonyms or only homotypic synonyms, while 107 were associated with a total of 952 heterotypic synonyms. For 940 of these heterotypic synonyms, we were able to retrieve both the year of publication and the year of synonymization. Among the heterotypic synonyms, 136 represented varieties or subspecies, and 804 were species-level heterotypic synonyms linked to 102 accepted species. We successfully obtained the year of publication and the year of synonymization for 798 of the 804 species-level heterotypic synonyms (electronic supplementary material, table S2). For brevity, we refer to these 804 species-level heterotypic synonyms as heterotypic synonyms.
(a). How did the counts of accepted species vary over time across Amazonia?
Our results show that species counts can vary significantly before and after a major taxonomic revision. The current number of accepted species for the Amazonian palm flora (N = 175) is comparable to the count in the 1850s (figure 2a), with the difference that in the 1850s there was not a single heterotypic synonym registered, whereas now there are 804. This indicates that the gradual accumulation of new species descriptions over two centuries has been compensated by taxonomic lumping, most of which occurred after 1990.
Figure 2.
Timeline of accepted species for the Amazonian palm flora. (a) Number of accepted taxa over time. Red dots mark the year of major taxonomic works. (b) Number of described taxa per year that are accepted (yellow) versus not accepted (blue) in 2020.
The number of Amazonian palm species increased steadily from the late 1700s until the mid-1960s and reached its maximum in 1966 when 854 taxa were recognized as distinct species. After nearly two centuries of adding almost continuously new descriptions, taxonomic lumping reversed this trend and led to an 82% decline in the overall number of accepted species in just three decades (figure 2a). The first significant drop, from 854 to 802 species, occurred in 1968 due to the work of Jan Gerard Wessels Boer [45]. The second drop was more substantial, with the number of accepted palm species declining by 79% from 787 in 1990 to 206 in 1995. This reduction stemmed mainly from synonymizations proposed by Henderson [18] and Henderson et al. [24]. The third and most recent drop in the number of accepted species (from 206 to 175) occurred in 2020, and coincided with the lumping proposed for Attalea Kunth [32]. In brief, counting Amazonian palm species in the mid-1990s and in 2020 would yield two very different totals, 731 and 175, respectively, which differ by a factor of 4 despite being only three decades apart (figure 2b). This striking observation underscores how critical taxonomic revisions are for obtaining accurate species counts. It also shows that taxonomic revisions can have significant knock-on effects for macroecological analyses, conservation assessments and any analyses that rely on species identity and counts.
Of the 34 Amazonian palm genera, 11 reached their current species number in the 1990s and another 14 in the 2000s (figure 3a). Attalea, Iriartella H.Wendl. and Syagrus Mart. were the latest to reach their current number of accepted species, doing so in 2020. In contrast, Raphia P.Beauv. and Wettinia Poepp. ex Endl. were the earliest, reaching their current total before the 1900s. As the abundance of species can vary across geographic regions, different regions may reach their current number of accepted species at different times. We find that current species numbers were reached recently across most of Amazonia, with the exception of the central Amazon (figure 3b). In this region, frequently recorded genera had already reached their current number of accepted species around 1940.
Figure 3.
Timeline of accepted species across genera in Amazonia. (a) Number of accepted species by genus over time. Pink dots mark when the current number of accepted species was reached, blue to yellow squares indicate the number of accepted species. (b) Map depicting the median year in which the genera recorded in each grid cell reached their current number of accepted species.
(b). How did the proportion of accepted species vary over time across Amazonia?
The proportion of accepted species in all described taxa mirrors the trend in taxonomic lumping described above. Overall, this proportion has remained relatively stable over 200 years and only started to decrease in the late 1960s. However, a more detailed examination suggests that lumping is less frequent in recently described species than in those described earlier (figure 4a,b). Nearly 80% of the species described after the 1990s are still considered accepted to date. This share is only 40% for taxa described between 1950 and 1980. Among the three most species-rich tribes, Geonomateae has the highest share of species that remain accepted (figure 4c).
Figure 4.
Temporal decay in the proportion of accepted species. (a) All taxa (oscillating grey line results from large changes in the proportion of accepted species after the 1990s). (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 tribes (Cocoseae, Euterpeae or Geonomateae).
Considering the spatial context, in 1990, the proportion of accepted species in all described taxa was rather homogeneous and close to 1 across Amazonia (figure 5a). However, in the 2020s, this proportion decreased to between 0.1 and 0.4 throughout the entire region (figure 5a,b). A comparison of two maps for 1990 and 2020 reveals that species, which are typically found in Western Amazonia are associated with a particularly high number of heterotypic synonyms. Relevant genera include Attalea, Bactris and Geonoma Willd., which reached a particularly high number of synonyms after the 1990s (figure 5c,d). These results show that taxonomic revisions are not homogeneous across space, time and taxonomic groups. Rather they occur at distinct moments with substantial impacts that vary across regions and genera.
Figure 5.
(a,b) Proportion of accepted species in all described taxa (accepted species and heterotypic synonyms). Maps depict proportions as of 1990 (a) and 2020 (b). Lighter shades represent a lower proportion of accepted species (i.e. more heterotypic synonyms per accepted species), while darker shades represent a higher proportion. Histograms show the mean proportion of accepted species for each longitudinal and latitudinal band of 0.9 degrees (100 km). (c,d) Scatterplots show the number of accepted species versus heterotypic synonyms recognized in (c) 1990 and (d) 2020. Black line indicates a 1:1 ratio.
(c). How long can it take to recognize an accepted species as a synonym?
For Amazonian palms, it took anything from 3 to 227 years to detect a heterotypic synonym (median = 79 years). The time required to detect synonyms depends on the age of the taxonomic descriptions and the tribe to which a species belongs to. It has taken 79 years to detect about half of all currently recognized heterotypic synonyms. An additional 147 years was required to detected the other half (table 1; figure 6a). For taxa described before the 1900s, it has taken on average 114 years to identify half of them as synonyms and a total 220 years to detect all synonyms (figure 6b). The detection time is shorter for more recently described taxa. For example, it only took an average of 26 years to detect synonyms among palms described between 1951 and 1980 and 18 years for those described between 1991 and 2012. The time lag between the first taxonomic description and synonymization also varies depending on the palm tribe. Among the top three tribes in terms of number of species, Euterpeae and Geonomateae had half of their synonyms detected approximately 60 years after description. In contrast, Cocoseae had half of the synonyms detected on average 90 years after description (figure 6c). The average time to detect heterotypic synonyms within each tribe ranged from 60 (Lepidocaryeae) to 164 years (Leopoldinieae). This result shows that there are prolonged periods without taxonomic revisions. During these periods, species counts can be highly uncertain, as potential heterotypic synonyms remain ‘hidden’ among the accepted species.
Table 1.
Summary statistics of Kaplan-Meir curves, indicating the time to detect heterotypic synonyms of Amazonian palms.
|
no. heterotypic synonyms |
time to detect 50% of all heterotypic synonyms |
time to detect the first 10% of all heterotypic synonyms |
time to detect the last 10% of all heterotypic synonyms |
|
|---|---|---|---|---|
|
all heterotypic synonyms |
798 |
79 |
38 |
138 |
|
taxa described until 1900 |
422 |
114 |
84 |
152 |
|
taxa described between 1901 and 1950 |
327 |
61 |
40 |
67 |
|
taxa described between 1951 and 1980 |
34 |
26 |
7 |
32 |
|
taxa described between 1981 and 2012 |
15 |
18 |
10 |
18 |
|
Cocoseae |
505 |
90 |
5 |
138 |
|
Euterpae |
56 |
63 |
44 |
125 |
|
Geonomateae |
101 |
65 |
29 |
138 |
Figure 6.
Time lag between species description and synonymization. Kaplan–Meier curves (a) for all heterotypic synonyms, (b) by cohorts according to year of taxonomic description and (c) for heterotypic synonyms associated with accepted species belonging to Cocoseae, Euterpeae or Geonomateae. Curves reach zero (y-axis) because only heterotypic synonyms were considered in this analysis.
(d). Which factors are associated with taxonomic lumping?
We find that species, which were early described, are widespread and have a large population tend to have a higher number of heterotypic synonyms (table 2). This observation indicates that such species are more prone to taxonomic lumping. However, it could also point to a reversed causality through which species reach a large geographic range and population size simply as a result of recurrent taxonomic lumping. Additionally, we found that widespread and abundant species tend to be described earlier (table 2).
Table 2.
Pearson correlation coefficients and significance levels (***p < 2.2e−16; **p < 0.001; *p < 0.01).
|
parameter |
number of heterotypic synonyms |
size of area of occupancy |
year of description |
number of individuals |
population size |
|---|---|---|---|---|---|
|
number of heterotypic synonyms |
1 |
||||
|
size of area of occupancy |
0.7*** |
1 |
|||
|
year of description |
−0.1*** |
−0.5*** |
1 |
||
|
number of individuals |
0.4** |
0.4*** |
−0.4*** |
1 |
|
|
population size |
0.2*** |
0.4*** |
0.01** |
0.9*** |
1 |
4. Discussion
Our study shows that the impact of taxonomic progress on species richness is substantial but not homogeneous across time, space and palm taxa. Over the past two and a half centuries, taxonomic descriptions of Amazonian palms have steadily accumulated, while lumping occurred through distinct and comprehensive taxonomic revisions published mostly after 1990 [18,24]. As a result, more than 800 heterotypic synonyms remained unrecognized for periods ranging from a few years to more than two centuries. Lumping has been recurrent for species described in early years, that occupy a large area and have a large population. Moreover, species that typically occur in Western Amazonia were subject to more taxonomic lumping than those that occur elsewhere in Amazonia. Currently, accepted species represent only 12% of all described names (accepted species, homotypic and heterotypic synonyms). Our results show that taxonomy is far from static. Some palm lineages might still harbour cryptic species [46], even though palms, in general, have benefited from a well-connected community of taxonomists and ecologists, and a species-level phylogeny will soon be completed [47]. Future progress will continue to refine species boundaries as new data and methods emerge. We think, however, that further extensive lumping of Amazonian palms appears unlikely. Next, we discuss how shifts in species number and identity due to taxonomic changes may influence macroecological and conservation analyses.
(a). Taxonomic progress and its impact on the Amazonian palm flora
The current Amazonian palm flora, comprising 175 accepted species, resulted from a gradual accumulation of species descriptions and distinct events of taxonomic lumping through which ca 800 heterotypic synonyms were detected. Thus, the Amazonian palm flora has not been growing continuously through the accumulation of new species descriptions. It is also not the result of a ‘zero-sum game’ through which increases in species numbers from descriptions of new species are balanced by reductions in species numbers caused by taxonomic lumping (figure 2b). Instead, new species were added, and previously accepted species were refuted unevenly across taxa, geographic regions and time.
Changes in species taxonomy arise from evolving taxonomic practices [48]. Before the 1950s, species-level taxonomy for palms was in a ‘state of chaos’, as remarked by Henderson et al. (1995) [24]. Early taxonomists, such as J. Barbosa Rodrigues (1842–1909), L. H. Bailey (1858–1954), and C. E. M. Burret (1883–1964) accepted minimal morphological variation within species and described nearly every specimen as a new species. It was only in 1968 that J. Wessels Boer (1936–2019) initiated major synonymizations for Geonomoid palms (figure 2). In the 1970s, taxonomy shifted in Latin America from local, country-specific studies to a regional, monographic approach driven by the Flora Neotropica project. This initiative, involving taxonomists working across 30 countries [49], encouraged the study of morphological variation across broad geographic ranges and influenced subsequent taxonomic revisions, including those of Henderson et al. [32,50–52]. For example, revisions of Geonoma (68 species) and Attalea (30 species) are based on the analyses of morphological characters of 4990 and 902 specimens, respectively. In result, 96% of palm species described by C. E. M. Burret were synonymized between the 1960s and 2000s.
The recent lumping is not restricted to Amazonian palms. Guatteria Ruiz & Pav. (Annonaceae), for example, lost the status of the most species-rich genus of woody Neotropical trees after significant taxonomic lumping in 2015 [53]. Other groups of tropical plants experienced similar lumping. The large genus Myrcia DC. ex Guill. (Myrtaceae) includes several species that have been described multiple times and were later synonymized [54]. To date, Myrcia guianensis (Aubl.) DC., for example, is associated with approximately 150 heterotypic synonyms [55]. In this context, it is interesting that at global scale, the overall number of accepted plant species is still increasing [56]. This increase is well-documented and results mostly from new species descriptions [57]. However, the extent to which lumping offsets this growth is difficult to track and quantify because taxonomists are not required to explicitly record in the taxonomic literature (e.g. botanical monographs) proposed heterotypic synonyms [58].
For seed plants, it is estimated that accepted species account for 34% [59] to 40% [6] of all taxonomic descriptions, indicating that more than half of the described taxa were at a later point synonymized. These numbers are roughly twice as high as the 21% observed here for Amazonian palms (considering only heterotypic synonyms). Multi-taxa comparisons of synonymy rates, however, typically do not distinguish between homotypic and heterotypic synonyms [58,60]. While homotypic synonyms arise when a species is reassigned to another genus, heterotypic synonyms result from changes in the delimitation of a given species. By explicitly distinguishing between these two types of synonyms when calculating synonym rates, we can improve our understanding of how changes in taxonomy, whether due to changes in delimitation or reassignments, affect species counts and identity across taxa.
(b). Taxonomic lumping across taxa and regions
Taxonomic lumping has been more frequent for palm species that occupy large areas and have large populations. This finding is expected because taxa covering larger areas tend to show higher morphological variation due to a higher diversity of environmental conditions [61]. Particularly, flower morphology within species can vary substantially with climate, soil and pollinator communities [62]. The resulting morphological plasticity can lead to independent taxonomic descriptions, which were likely prevalent in early years when the exchange of botanical information was limited and taxonomic studies had a restricted geographic scope. However, one could also argue that the causality is reversed. Both large phenotypic variation and broad range size could themselves be the consequence of taxonomic lumping. Therefore, our statistical analysis leaves room for interpretation and ambiguity regarding the actual causes and effects of taxonomic lumping.
Our data also show that western Amazonia harbours species that were subject to recurrent taxonomic lumping, reflecting a more complex taxonomic history in this region than elsewhere in Amazonia. This complexity may stem from the geo-political configuration of Western Amazonia, which includes several country borders. Before the 1970s, the focus of botanical monographs on individual countries may have hindered exchange of botanical information and increased the likelihood of independent descriptions of the same taxa. However, many species that were later synonymized had been described based on specimens sent to C. E. M. Burret at the Herbarium Berolinense in Berlin (Germany) or to L. H. Bailey at the Hortorium Herbarium in Cornell (USA) [24]. Many of Burret’s type specimens were destroyed during World War II [52], complicating efforts to trace back the actual collection locations. As a result, it remains challenging to determine how taxonomic practices contributed to an over-description of species in western Amazonia.
An alternative explanation for the high number of heterotypic synonyms in Western Amazonia is that the region comprises recently diverged lineages that diversified within the region’s mosaic of habitat and fertile soils [63]. These lineages, initially described as distinct species, underscore the difficulty of defining species boundaries for closely related groups [48]. This suggests that the higher than expected species richness of palms in Western Amazonia [64] might need to be re-evaluated using post-2007 taxonomic revisions—such as updates for Attalea [32], Bactris [51], Desmoncus [50] and Geonoma [52]. Such research could determine whether the excess palm richness in Western Amazonia is caused by ecological and evolutionary processes or to some extent by taxonomic artefacts.
If taxonomic lumping is not random across taxa, time and regions—as we observe here—and taxa show a strong spatial phylogenetic structure [65], then regions have reached their current number of accepted species at different points in times. Genera that typically occur in central Amazonia have reached their current number of species 50 years earlier than those occurring in other regions. This observation may be influenced by the high frequency of Elaeis oleifera (Kunth) Cortés recorded in central Amazonia. Elaeis Jacq. is a genus with one single accepted species in the Americas [24] that is mostly recorded in central Amazonia [66]. By contrast, Geonoma and Bactris, which are recorded more frequently in Western Amazonia, are among the most species-rich genera of Amazonian palms and have a high number of heterotypic synonyms. It is important to note that the map depicting when genera reach their current number of species (figure 3b) is drawn from digital herbarium specimens and thus is subject to incompleteness and biases. Palms are particularly underrepresented in herbaria, as their often large and spiny leaves are difficult to collect and transport [24]. Moreover, both palm inventories and taxonomic studies have been particularly abundant in western Amazonia in the last 30 years [67], which may have led to more species descriptions and detection of synonyms over time. Taken together, these observations highlight the importance of considering the status of taxonomic research when interpreting broad-scale patterns of species richness and turnover in species composition [68].
(c). Timing of taxonomic lumping
Our results show a large variation in the time heterotypic synonyms remain undetected, with recently described taxa being recognized as heterotypic synonyms more quickly than older ones. Moreover, taxa belonging to the tribes Euterpae or Geonomateae are recognized as heterotypic synonyms on average 100 years earlier than those belonging to the Cocoseae, which includes some of the most species-rich genera of Amazonian palms, such as Attalea and Bactris. The temporal variation arises because most synonyms were proposed in a few distinct taxonomic revisions: Amazonian palm flora in 1995 [18,24], Bactris in 2000 [51], Geonoma in 2011 [52] and Attalea in 2020 [32]. Thus, the time required to detect synonyms in Amazonian palms has been determined by how many years passed between the first species description and rather singular and comprehensive revision events.
These results suggest that heterotypic synonyms can remain hidden for long periods and may remain unrecognised, given the limited taxonomic coverage in botanical monographs [69]. Yet, a detailed understanding of temporal trends in the detection of synonyms, especially for heterotypic synonyms, is needed for a broader range of taxa. A comparative analysis, particularly across tropical plants, could provide valuable insights into the uncertainty of species counts and identity that may arise from lack of revisionary work.
(d). Taxonomic lumping and hyperdominance in the Amazonian palm flora
Palms are among the most dominant species in the Amazonian tree flora [15]. The extent to which changes in species delimitation affect dominance patterns is subject to ongoing discussions [9]. If an accepted species resulted from the lumping of several species, this accepted species will have a larger population and a wider geographic range than before the lumping. Such a species could then also become hyperdominant. For palms we observed a moderate correlation (r = 0.4) between the number of heterotypic synonyms and the estimated population size, suggesting that taxonomic lumping, to some degree, may influence the current pattern of species dominance. Given the substantial lumping proposed for Amazonian palms, we expect that further lumping is unlikely to happen in the near future. Consequently, changes in species dominance may only arise if future research uncovers cryptic species within large populations. Recent molecular evidence suggests that Astrocaryum murumuru Mart., with four heterotypic synonyms and an estimated population of 2.4 billion individuals [15], could potentially include such cryptic species [46]. This could justify a re-evaluation of species boundaries within this group. However, it is not possible to draw general conclusions about the relationship between hyperdominant species and taxonomic lumping or taxonomic splitting, which can reveal cryptic species. Both lumping and splitting depend on taxonomic practices and species characteristics, which vary across taxonomic groups and geographic regions [48]. For example, Eschweilera coriacea (DC.) S. A. Mori (Lecythidaceae), another hyperdominant species, has undergone several lumping events and recent molecular analysis indicated that E. coriacea is indeed a single species [9,70].
(e). Way forward: bridging taxonomy and macroecology
Our study uncovers temporal trends in the taxonomy of Amazonian palms, that is, the change in the number of accepted species across, time, regions and genera following taxonomic revisions. For palms, the impact of revisions is substantial. However, the identified trends may not apply to other plant groups, as rates of species description and synonymization are uneven across regions and genera. To our knowledge, no studies have tracked the timing of taxonomic lumping for other plant taxa, leaving it unclear how an evolving species taxonomy affects broad-scale patterns of plant richness and composition in Amazonia. This shortcoming has implications for conservation analyses. If lumping is prevalent, it may reduce species rarity [9], endemism [10] and floristic turnover [71]. Conversely, frequent species discoveries and taxonomic splitting may increase these parameters [72]. The extent to which opposing trends balance out across space and time remains unquantified for a large number of taxa [73].
Many tropical plants lack recent taxonomic revisions [69], and a small proportion of new species descriptions are supported by molecular data [74]. Thus, hidden synonyms and cryptic species will continue to bias broad-scale, multi-species ecological studies for the decades to come. This bias cannot be completely eliminated but, as we show here, it can be measured, thereby providing a baseline reference to quantify uncertainty in biogeographical, evolutionary, and macroecological analyses. The emergence of nomenclatural data infrastructures offers promising avenues for addressing this challenge.
A growing number of data infrastructures supports handling complex taxonomic data [75]. These infrastructures enable ecologists to explore data ontologies and taxonomic terminology to map when and how often species limits have been redefined [76]. A significant challenge is that recognizing heterotypic synonyms—unlike describing new species or designating homotypic synonyms—is not a mandatory nomenclatural act. This means that the way and extent to which heterotypic synonyms are documented in the taxonomic literature depends on the reporting practice of each individual taxonomist [58]. Consequently, it is non-trivial to determine, across many taxa, when lumping occurred and how it influences species counts and identity. Undertaking this task not only requires close collaboration between ecologists and taxonomists but also calls for publishing or converting taxonomic literature into a machine-readable format. Yet, several taxonomic journals still publish articles only as Portable Document Format (PDF), which demands substantial effort to make key information, such as synonymizations, easy to reuse [77]. Recently developed tools and services (e.g. Plazi [77] and PlutoF [78]) start to streamline this process. While their current application is still modest, they represent an important step towards a broader use of taxonomic information [79].
5. Concluding remarks
Taxonomic progress is often thought of as a steady process of accumulating newly described species. However, the case of Amazonian palms suggests this view captures only part of the picture. We find that a few single revision events between the 1990s and 2000s have caused an abrupt reduction in species numbers, with uneven effects across genera and regions. Importantly, around 800 heterotypic synonyms remained undetected for up to two centuries. Our study suggests that variability in taxonomic revisions, in terms of timing and impact, may be observed for other plant groups as well. As taxonomy affects the richness, abundance and geographical range of species, its impact should be considered in macroecological models and conservation planning. This study highlights how much taxonomic revisions can affect our understanding of biodiversity. Systematic efforts across lineages are needed to advance plant taxonomy, thereby strengthening ecological analyses and conservation assessments.
Acknowledgements
We thank the library staff of the Museo Nacional de Ciencias Naturales (MNCN-CSIC, Madrid) for facilitating access to taxonomic literature. We are also grateful to Cristina Ronquillo for assistance in standardizing species authorities' names and to Sylvia Mota de Oliveira, Toby Pennington and Martin Weiss for their comments on earlier versions of this manuscript.
Contributor Information
Juliana Stropp, Email: juliana.stropp@gmail.com.
Andreza S. S. Pereira, Email: andrezapereira_bio@yahoo.com.br.
Thaise Emilio, Email: thaise.emilio@unesp.br.
Leila Meyer, Email: leilameyer08@gmail.com.
Rafaela Jorge Trad, Email: rafajt@hotmail.com; rafajt@gmail.com.
Fernanda Alves-Martins, Email: ferfealvesmartins@gmail.com.
Richard James Ladle, Email: richardjamesladle@gmail.com.
Joaquin Hortal, Email: jhortal@mncn.csic.es.
Ethics
This work did not require ethical approval from a human subject or animal welfare committee.
Data accessibility
Data are publicly available at [80].
Supplementary material is available online [81].
Declaration of AI use
We have used AI-assisted technologies for minor text editing. The authors take full responsibility for the content of this article.
Authors’ contributions
J.S.: conceptualization, data curation, formal analysis, funding acquisition, investigation, methodology, project administration, writing—original draft, writing—review and editing; A.S.S.P.: data curation, investigation, methodology; T.E.: methodology, writing—review and editing; L.M.: investigation, methodology, writing—review and editing; R.J.T.: investigation, methodology, writing—review and editing; F.A.-M.: methodology, writing—review and editing; R.J.L.: investigation, methodology, writing—review and editing; J.H.: investigation, methodology, supervision, writing—review and editing.
All authors gave final approval for publication and agreed to be held accountable for the work performed therein.
Conflict of interest declaration
We declare we have no competing interests.
Funding
This work was funded by the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie Action (grant agreement no. 843234; project: TAXON TIME) and by the Spanish Council for Scientific Research (IF_ERC). R.J.L. was supported by the European Union’s Horizon 2020 research and innovation programme under grant agreement no. 854248. A.S.S.P. is funded by the ‘Fundação Amazônia de Amparo a Estudos e Pesquisa—FAPESPA’. L.M. was supported by the ‘Fundação Carlos Chagas Filho de Amparo à Pesquisa do Estado do Rio de Janeiro’ (FAPERJ) (#E-26/200.252/2024, #E-26/200.253/2024). T.E. and L.M. were funded by the ‘Coordenação de Aperfeiçoamento de Pessoal de Nível Superior’—Brazil (CAPES)—Finance Code 001. Additional support has been provided by the ‘Instituto Nacional de Ciência e Tecnologia em Ecologia, Evolução e Conservação da Biodiversidade’ (INCT-EECBio) (MCTIC/CNPq465610/2014-5; FAPEG 201810267000023).
References
- 1. RBG Kew . 2016. The state of the world’s plants report—2016. Kew, UK: RBG Kew. [Google Scholar]
- 2. Edie SM, Smits PD, Jablonski D. 2017. Probabilistic models of species discovery and biodiversity comparisons. Proc. Natl Acad. Sci. USA 114, 3666–3671. ( 10.1073/pnas.1616355114) [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3. Ter Steege H, Mota de Oliveira S, Pitman NCA, Sabatier D, Antonelli A, Guevara Andino JE, Aymard GA, Salomão RP. 2019. Towards a dynamic list of Amazonian tree species. Sci. Rep. 9, 3501. ( 10.1038/s41598-019-40101-y) [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4. Stropp J, Ladle RJ, Emilio T, Lessa T, Hortal J. 2022. Taxonomic uncertainty and the challenge of estimating global species richness. J. Biogeogr. 49, 1654–1656. ( 10.1111/jbi.14463) [DOI] [Google Scholar]
- 5. Knapp S, Lughadha E, Paton A. 2005. Taxonomic inflation, species concepts and global species lists. Trends Ecol. Evol. 20, 7–8. ( 10.1016/j.tree.2004.11.001) [DOI] [PubMed] [Google Scholar]
- 6. Paton A, Brummitt N, Govaerts R, Harman K, Hinchcliffe S, Allkin B, Lughadha E. 2008. Towards target 1 of the global strategy for plant conservation: a working list of all known plant species-progress and prospects. Taxon 57, 602–611. ( 10.2307/25066027) [DOI] [Google Scholar]
- 7. Führding-Potschkat P, Weigelt P, Kreft H, Ickert-Bond SM. 2023. Drivers of variation in synonym numbers of angiosperm species names. Authorea Prepr. [Google Scholar]
- 8. Alroy J. 2002. How many named species are valid? Proc. Natl Acad. Sci. USA 99, 3706–3711. ( 10.1073/pnas.062691099) [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9. Bacon CD, Hill A, ter Steege H, Antonelli A, Damasco G. 2022. The impact of species complexes on tree abundance patterns in Amazonia. Am. J. Bot. 109, 1525–1528. ( 10.1002/ajb2.16069) [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10. Daru BH, Farooq H, Antonelli A, Faurby S. 2020. Endemism patterns are scale dependent. Nat. Commun. 11, 2115. ( 10.1038/s41467-020-15921-6) [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11. Gemeinholzer B, et al. 2020. Data storage and data re-use in taxonomy—the need for improved storage and accessibility of heterogeneous data. Org. Divers. Evol. 20, 1–8. ( 10.1007/s13127-019-00428-w) [DOI] [Google Scholar]
- 12. Patterson DJ, Cooper J, Kirk PM, Pyle RL, Remsen DP. 2022. Names are key to the big new biology. Trends Ecol. Evol. 25, 686–691. ( 10.1016/j.tree.2010.09.004) [DOI] [PubMed] [Google Scholar]
- 13. Walker B. 2022. kewr: R package to access Kew data APIs. See https://barnabywalker.github.io/kewr/.
- 14. Baker WJ, Dransfield J. 2016. Beyond Genera Palmarum: progress and prospects in palm systematics. Bot. J. Linn. Soc. 182, 207–233. ( 10.1111/boj.12401) [DOI] [Google Scholar]
- 15. ter Steege H, et al. 2013. Hyperdominance in the Amazonian tree flora. Science 342, 1243092. ( 10.1126/science.1243092) [DOI] [PubMed] [Google Scholar]
- 16. Stropp J, Umbelino B, Correia RA, Campos‐Silva JV, Ladle RJ, Malhado ACM. 2020. The ghosts of forests past and future: deforestation and botanical sampling in the Brazilian Amazon. Ecography 43, 1–11. ( 10.1111/ecog.05026) [DOI] [Google Scholar]
- 17. RAISG . 2012. Amazônia sob Pressão 69. https://www.raisg.socioambiental.org
- 18. Henderson A. 1995. The palms of the Amazon. New York, NY: Oxford University Press. [Google Scholar]
- 19. Cardoso D, et al. 2017. Amazon plant diversity revealed by a taxonomically verified species list. Proc. Natl Acad. Sci. USA 114, 10695–10700. ( 10.1073/pnas.1706756114) [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20. Flora e Funga do Brasil 2020 . 2024. Jardim Botânico do Rio de Janeiro. See http://floradobrasil.jbrj.gov.br/.
- 21. Tropicos . 2024. Missouri Botanical Garden. See https://tropicos.org.
- 22. POWO . 2024. Plants of the World Online. See https://powo.science.kew.org/.
- 23. WFO . 2024. World Flora Online. See http://www.worldfloraonline.org/.
- 24. Henderson A, Galeano G, Bernal R. 1995. Field guide to the palms of the Americas. Princeton, NJ: Princeton University Press. ( 10.2307/2419756) [DOI] [Google Scholar]
- 25. PALMWeb . 2022. Palmweb: Palms of the World online. See https://palmweb.org/ (accessed 20 September 2022).
- 26. Balslev H, Kahn F, Millan B, Svenning JC, Kristiansen T, Borchsenius F, Pedersen D, Eiserhardt WL. 2011. Species diversity and growth forms in tropical American palm communities. Bot. Rev. 77, 381–425. ( 10.1007/s12229-011-9084-x) [DOI] [Google Scholar]
- 27. IPNI . 2022. International Plant Names Index. R. Bot. Gard. Kew, Harvard Univ. Herb. Libr. Aust. Natl. Bot. Gard https://www.ipni.org/ [Google Scholar]
- 28. Turland N. 2019. The code decoded: a user’s guide to the International Code of Nomenclature for algae, fungi, and plants. Sofia, Bulgaria: Pensoft Publishers. [Google Scholar]
- 29. von Linné C. 1781. Supplementum plantarum systematis vegetabilium editionis decimae tertiae, generum plantarum editionis sextae, et specierum plantarum, editionis secunda. Brunsvigae: Impensis Orphanotrophei. [Google Scholar]
- 30. Dugand A. 1941. Notas sobre palmas colombianas y una del Brasil. Caldasia 1, 17–29. [Google Scholar]
- 31. Wessels Boer J. 1968. The geonomoid palms. Verhandelingen der Koninklijke Nederlandsche Akademie van Wetenschappen, Afdeeling Natuurkunde. Tweede Sectie 58, 1–202. [Google Scholar]
- 32. Henderson A. 2020. A revision of Attalea (Arecaceae, Arecoideae, Cocoseae, Attaleinae). Phytotaxa 444, 1–76. ( 10.11646/phytotaxa.444.1.1) [DOI] [Google Scholar]
- 33. Burret MKE. 1929. Die Palmengattungen Orbignya, Attalea, Scheelea und Maximiliana. Notizbl. Des Bot Gartens Und Museums Zu Berl. 10: 671. [Google Scholar]
- 34. Bartlett HH. 1935. Scheelea lundellii, a new ‘Corozo’ palm from the department of Petén, Guatemala. In Botany of the maya area: miscellaneous papers, pp. 45–47. Washington, DC: Carnegie Institution of Washington. [Google Scholar]
- 35. Bailey LH. 1947. Indigenous palms of trinidad and tobago. Ithaca, NY: Gentes Herb. [Google Scholar]
- 36. GBIF . 2022. GBIF occurrence download. ( 10.15468/dl.m8jkhk) [DOI]
- 37. Chamberlain S, Boettiger C. 2017. R Python, and Ruby clients for GBIF species occurrence data. PeerJ Prepr. ( 10.7287/peerj.preprints.3304v1) [DOI]
- 38. Ribeiro BR, Velazco SJE, Guidoni‐Martins K, Tessarolo G, Jardim L, Bachman SP, Loyola R. 2022. bdc: a toolkit for standardizing, integrating and cleaning biodiversity data. Methods Ecol. Evol. 13, 1421–1428. ( 10.1111/2041-210x.13868) [DOI] [Google Scholar]
- 39. Hosmer D, Lemeshow S, May S. 2008. Applied survival analysis: regression modeling of time-to-event data. Hoboken, NJ: John Wiley & Sons. [Google Scholar]
- 40. Therneau TM, Grambsch PM. 2000. Modeling survival data: extending the cox model. New York, NY: Springer. [Google Scholar]
- 41. Kassambara A, Kosinski M, Biecek P. 2021. survminer: drawing survival curves using ‘ggplot2’. R package version 0.4.9. See https://CRAN.R-project.org/package=survminer.
- 42. Paradis E, Schliep K. 2019. ape 5.0: an environment for modern phylogenetics and evolutionary analyses in R. Bioinformatics 35, 526–528. ( 10.1093/bioinformatics/bty633) [DOI] [PubMed] [Google Scholar]
- 43. Onstein RE, Baker WJ, Couvreur TLP, Faurby S, Svenning JC, Kissling WD. 2017. Frugivory-related traits promote speciation of tropical palms. Nat. Ecol. Evol. 1, 1903–1911. ( 10.1038/s41559-017-0348-7) [DOI] [PubMed] [Google Scholar]
- 44. Maitner BS, et al. 2018. The bien R package: a tool to access the botanical information and ecology network (BIEN) database. Methods Ecol. Evol. 9, 373–379. ( 10.1111/2041-210x.12861) [DOI] [Google Scholar]
- 45. Wessels Boer JG. 1968. The geonomoid palms. Meded. van Het Bot. Museum En Herb. van Rijksuniv. Te Utr 282, 1–202. [Google Scholar]
- 46. Rivas‐Chamorro M, Cadenillas R, Ge X, Jin L, Millán B, Roncal J. 2023. Testing species relationships and delimitation in the Amazonian hyperdominant Astrocaryum section Huicungo (Arecaceae) using chloroplast data from genome skimming. Taxon 72, 501–514. ( 10.1002/tax.12928) [DOI] [Google Scholar]
- 47. Lima Ferreira P, Cano A, Kuhnhuser B, Bellot S, Baker W, Eiserhardt W, Palm Phylogeny Working Group . 2024. Palms in space and time: progress towards a genomic species-level phylogeny. In XX International Botanical Congress, Madrid. https://ibcmadrid2024.com/?seccion=scientificArea&subSeccion=detailAbstract&id=1370. [Google Scholar]
- 48. Padial JM, De la Riva I. 2021. A paradigm shift in our view of species drives current trends in biological classification. Biol. Rev. 96, 731–751. ( 10.1111/brv.12676) [DOI] [PubMed] [Google Scholar]
- 49. Mori SA. 1992. Neotropical floristics and inventory: who will do the work? Brittonia 44, 372–375. ( 10.2307/2806943) [DOI] [Google Scholar]
- 50. Henderson A. 2011. A revision of Desmoncus (Arecaceae). Phytotaxa 35, 1–88. ( 10.11646/phytotaxa.35.1.1) [DOI] [Google Scholar]
- 51. Henderson A. 2000. Bactris (Palmae). Flora Neotrop 79, 1–181. [Google Scholar]
- 52. Henderson A. 2011. A revision of Geonoma (Arecaceae). Phytotaxa 17, 1–271. ( 10.11646/phytotaxa.17.1.1) [DOI] [Google Scholar]
- 53. Maas P, Westra L, Arias Guerrero S, Lobão A, Scharf U, Zamora N, Erkens R. 2015. Confronting a morphological nightmare: revision of the Neotropical genus Guatteria (Annonaceae). Blumea J. Plant Taxon. Plant Geogr. 60, 1–219. ( 10.3767/000651915X690341) [DOI] [Google Scholar]
- 54. Lucas EJ, Matsumoto K, Harris SA, Nic Lughadha EM, Benardini B, Chase MW. 2011. Phylogenetics, morphology, and evolution of the large genus Myrcia sl (Myrtaceae). Int. J. Plant Sci. 172, 915–934. ( 10.1086/660913) [DOI] [Google Scholar]
- 55. Lima DF, Goldenberg R, Lucas E. 2018. Taxonomic novelties in Myrcia guianensis and allied species (Myrtaceae: Myrteae), including mass-typification in a large and taxonomically challenging group. Kew Bull. 73, 1–17. ( 10.1007/s12225-017-9729-y) [DOI] [Google Scholar]
- 56. Christenhusz MJM, Byng JW. 2016. The number of known plants species in the world and its annual increase. Phytotaxa 261, 201–217. ( 10.11646/phytotaxa.261.3.1) [DOI] [Google Scholar]
- 57. Antonelli A, et al. 2020. State of the world’s plants and fungi—2020. Kew, UK: RBG Kew. ( 10.34885/172) [DOI] [Google Scholar]
- 58. Lughadha EN, Govaerts R, Belyaeva I, Black N, Lindon H, Allkin R, Magill RE, Nicolson N. 2016. Counting counts: revised estimates of numbers of accepted species of flowering plants, seed plants, vascular plants and land plants with a review of other recent estimates. Phytotaxa 272, 82–88. ( 10.11646/phytotaxa.272.1.5) [DOI] [Google Scholar]
- 59. Wortley AH, Scotland RW. 2004. Synonymy, sampling and seed plant numbers. Taxon 53, 478–480. ( 10.2307/4135625) [DOI] [Google Scholar]
- 60. Moonlight PW, Baldaszti L, Cardoso D, Elliott A, Särkinen T, Knapp S. 2024. Twenty years of big plant genera. Proc. R. Soc. B 291, 20240702. ( 10.1098/rspb.2024.0702) [DOI] [PMC free article] [PubMed] [Google Scholar]
- 61. West-Eberhard MJ. 2003. Plasticity. In Developmental plasticity and evolution. New York, NY: Oxford University Press. ( 10.1093/oso/9780195122343.003.0008) [DOI] [Google Scholar]
- 62. Weber UK, Nuismer SL, Espíndola A. 2020. Patterns of floral morphology in relation to climate and floral visitors. Ann. Bot. 125, 433–445. ( 10.1093/aob/mcz172) [DOI] [PMC free article] [PubMed] [Google Scholar]
- 63. Figueiredo FOG, et al. 2022. Linking high diversification rates of rapidly growing Amazonian plants to geophysical landscape transformations promoted by Andean uplift. Bot. J. Linn. Soc. 199, 36–52. ( 10.1093/botlinnean/boab097) [DOI] [Google Scholar]
- 64. Svenning JC, Borchsenius F, Bjorholm S, Balslev H. 2008. High tropical net diversification drives the new world latitudinal gradient in palm (Arecaceae) species richness. J. Biogeogr. 35, 394–406. ( 10.1111/j.1365-2699.2007.01841.x) [DOI] [Google Scholar]
- 65. Kissling WD, Baker WJ, Balslev H, Barfod AS, Borchsenius F, Dransfield J, Govaerts R, Svenning JC. 2012. Quaternary and pre‐quaternary historical legacies in the global distribution of a major tropical plant lineage. Glob. Ecol. Biogeogr. 21, 909–921. ( 10.1111/j.1466-8238.2011.00728.x) [DOI] [Google Scholar]
- 66. Gomes VHF, Vieira ICG, Salomão RP, ter Steege H. 2019. Amazonian tree species threatened by deforestation and climate change. Nat. Clim. Chang. 9, 547–553. ( 10.1038/s41558-019-0500-2) [DOI] [Google Scholar]
- 67. Alvez-Valles CM, Balslev H, Garcia-Villacorta R, Carvalho FA, Menini L. 2018. Palm species richness, latitudinal gradients, sampling effort, and deforestation in the Amazon region. Acta Bot. Bras. 32, 527–539. ( 10.1590/0102-33062017abb0400) [DOI] [Google Scholar]
- 68. Hopkins MJG. 2007. Modelling the known and unknown plant biodiversity of the Amazon Basin. J. Biogeogr. 34, 1400–1411. ( 10.1111/j.1365-2699.2007.01737.x) [DOI] [Google Scholar]
- 69. Grace OM, et al. 2021. Botanical monography in the anthropocene. Trends Plant Sci. 26, 433–441. ( 10.1016/j.tplants.2020.12.018) [DOI] [PubMed] [Google Scholar]
- 70. Heuertz M, et al. 2020. The hyperdominant tropical tree Eschweilera coriacea (Lecythidaceae) shows higher genetic heterogeneity than sympatric Eschweilera species in French Guiana. Plant Ecol. Evol. 153, 67–81. ( 10.5091/plecevo.2020.1565) [DOI] [Google Scholar]
- 71. Tuomisto H. 2010. A diversity of beta diversities: straightening up a concept gone awry. Part 1. Defining beta diversity as a function of alpha and gamma diversity. Ecography 33, 2–22. ( 10.1111/j.1600-0587.2009.05880.x) [DOI] [Google Scholar]
- 72. Damasco G, Baraloto C, Vicentini A, Daly DC, Baldwin BG, Fine PVA. 2021. Revisiting the hyperdominance of neotropical tree species under a taxonomic, functional and evolutionary perspective. Sci. Rep. 11, 9585. ( 10.1038/s41598-021-88417-y) [DOI] [PMC free article] [PubMed] [Google Scholar]
- 73. Lessa T, Stropp J, Hortal J, Ladle RJ. 2024. How taxonomic change influences forecasts of the linnean shortfall (and what we can do about it)? J. Biogeogr. 51, 1365–1373. ( 10.1111/jbi.14829) [DOI] [Google Scholar]
- 74. Miralles A, et al. 2020. Repositories for taxonomic data: where we are and what is missing. Syst. Biol. 69, 1231–1253. ( 10.1093/sysbio/syaa026) [DOI] [PMC free article] [PubMed] [Google Scholar]
- 75. Tuominen J, Laurenne N, Hyvönen E. 2011. Biological names and taxonomies on the semantic web–managing the change in scientific conception. In Extended Semantic Web Conf, Heraklion, Greece, pp. 255–269. Heidelberg, Germany: Springer. ( 10.1007/978-3-642-21064-8_18) [DOI] [Google Scholar]
- 76. Franz NM, Peet RK. 2009. Perspectives: towards a language for mapping relationships among taxonomic concepts. Syst. Biodivers. 7, 5–20. ( 10.1017/s147720000800282x) [DOI] [Google Scholar]
- 77. Agosti D, Catapano T, Sautter G, Egloff W. 2019. The plazi workflow: the PDF prison break for biodiversity data. Biodivers. Inf. Sci. Stand. 3. ( 10.3897/biss.3.37046) [DOI] [Google Scholar]
- 78. Abarenkov K, et al. 2010. PlutoF—a web based workbench for ecological and taxonomic research, with an online implementation for fungal ITS sequences. Evol. Bioinform. 6, ebo.s6271.( 10.4137/ebo.s6271) [DOI] [Google Scholar]
- 79. Upham NS, et al. 2021. Liberating host-virus knowledge from biological dark data. Lancet Planet. Health 5, e746–e750. ( 10.1016/S2542-5196(21)00196-0) [DOI] [PMC free article] [PubMed] [Google Scholar]
- 80. Stropp J. 2025. Checklist of Amazonian palms and their heterotypic synonyms. Figshare. Dataset. ( 10.6084/m9.figshare.28344428) [DOI]
- 81. Stropp J, Pereira A, Emilio T, Meyer L, Trad RJ, Alves-Martins Fet al. 2025. Supplementary material from: Impacts of taxonomic change on the Amazonian palm flora. Figshare. ( 10.6084/m9.figshare.c.7828975) [DOI] [PMC free article] [PubMed]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Data Availability Statement
Data are publicly available at [80].
Supplementary material is available online [81].






