Abstract
Understanding the relative roles of diversification and dispersal is key to explaining large-scale biogeographic patterns. Although
both processes are known to shape biodiversity, their relative contributions remain understudied in many systems. Here, we
examine how these processes have jointly contributed to the exceptional diversity and endemism of Nymphalidae butterflies in
South America’s Atlantic Forest, a global biodiversity hotspot. We obtained DNA sequences for 68 Nymphalidae species (43
missing from major phylogenies) and integrated them into published time-calibrated phylogenies. We used Dispersal-extinction-
cladogenesis models and Biogeographical Stochastic Mapping to infer historical biogeographic patterns over time, and ClaDS to
estimate region-specific diversification rates. We further evaluate whether regional patterns of diversification are associated with
occurrence in montane environments or across the north–south biogeographic break within the Atlantic Forest. Our results show
that butterfly diversity in the region was driven primarily by recurrent dispersal from Amazonia and the Andes, rather than
by elevated in situ diversification, which remained low and stable through time. Although dispersal increased progressively
during the Cenozoic, we found no evidence that the Diagonal of open formations acted as a major barrier, indicating that
forest corridors probably allowed extensive exchanges between the Atlantic Forest and other Neotropical regions. Southern
lineages exhibited slightly higher diversification rates, especially among montane generalist species, but overall diversification
contributed little compared to the sustained input of dispersing lineages. Together, these findings highlight the central role of
biome connectivity in shaping Atlantic Forest Nymphalidae diversity, while underscoring the importance of jointly considering
diversification and dispersal processes to better understand the macroevolutionary dynamics underlying current biodiversity
patterns.
Tracing the origins and evolution of nymphalid butterflies (Lepidoptera) in the Atlantic Forest
Running title: Nymphalidae Evolution in the Atlantic Forest
Understanding the relative roles of diversification and dispersal is key to explaining large-
scale biogeographic patterns. Although both processes are known to shape biodiversity, their
relative contributions remain understudied in many systems. Here, we examine how these
processes have jointly contributed to the exceptional diversity and endemism of Nymphalidae
butterflies in South America’s Atlantic Forest, a global biodiversity hotspot. We obtained DNA
sequences for 68 Nymphalidae species (43 missing from major phylogenies) and integrated
them into published time-calibrated phylogenies. We used Dispersal-extinction-cladogenesis
1
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models and Biogeographical Stochastic Mapping to infer historical biogeographic patterns over
time, and ClaDS to estimate region-specific diversification rates. We further evaluate whether
regional patterns of diversification are associated with occurrence in montane environments or
across the north–south biogeographic break within the Atlantic Forest. Our results show that
butterfly diversity in the region was driven primarily by recurrent dispersal from Amazonia
and the Andes, rather than by elevated in situ diversification, which remained low and stable
through time. Although dispersal increased progressively during the Cenozoic, we found
no evidence that the Diagonal of open formations acted as a major barrier, indicating that
forest corridors probably allowed extensive exchanges between the Atlantic Forest and other
Neotropical regions. Southern lineages exhibited slightly higher diversification rates, especially
among montane generalist species, but overall diversification contributed little compared to
the sustained input of dispersing lineages. Together, these findings highlight the central role of
biome connectivity in shaping Atlantic Forest Nymphalidae diversity, while underscoring the
importance of jointly considering diversification and dispersal processes to better understand
the macroevolutionary dynamics underlying current biodiversity patterns.
KEY WORDS : Atlantic Forest, biogeography, Diagonal of open formations, dispersal, Neotropics,
Nymphalidae.
1 Introduction
Large-scale historical biogeographic patterns are determined by the interplay between rates of diversification
(comprising speciation and extinction) and dispersal (Hubbell, 2001). Traditionally, macroevolutionary
explanations for biotic assembly have emphasised two main ideas: (1) that older clades and larger geographic
areas accumulate more species — the time- and area-for-speciation hypotheses, or together, as the time-
integrated species-area effect(Fine and Ree, 2006; Wallace, 1878); and (2) that regional differences in species
richness result from episodic shifts in speciation and extinction rates — the rate-of-diversification hypothesis
(Mittelbach et al., 2007). Nevertheless, more recent frameworks also acknowledge the influence of asymmetric
dispersal rates between regions (e.g., Goldberg, Roy, Lande, & Jablonski, 2005; Goldberg, Lancaster & Ree,
2011; Kuhnh¨auser et al., 2025). This has led to a better characterisation of the relative importance of time,
diversification and dispersal processes in explaining extant regional differences in species diversity (Carrillo
et al., 2020; Igea and Tanentzap, 2019; Kuhnh¨auser et al., 2025). However, empirical evidence is still mainly
restricted to a few taxonomic groups or is mainly focused on diversification rates, neglecting the contribution
of dispersal in explaining large-scale biodiversity patterns.
With only a fraction of its original vegetation remaining (8% – 22%), mostly in small, disconnected fragments
(Vancine et al., 2024, Joly, Metzger & Tabarelli, 2014), the Atlantic Forest is considered one of the most
threatened biodiversity hotspots on Earth (Myers, Mittermeier, Mittermeier, da Fonseca & Kent, 2000; Mar-
ques & Grell, 2021). This biogeographical domain harbours high levels of endemism across plants (Martini,
Fiaschi, Amorim & Paix˜ ao, 2007; Fiaschi & Pirani, 2009), amphibians (Hadad et al., 2013), birds (Silveira,
Olmos & Long, 2003), and butterflies (Brown & Freitas, 2000; Santos et al., 2018), among other groups.
Throughout its area, congruent patterns of species richness and endemism across animals and plants are
thought to be shaped by contemporary and historical climatic changes and topographical variation. For
instance, a large turnover in ecological communities exists between the southern and northern regions (Peres
et al., 2020), but the relative contribution of species diversification and dispersal in shaping such patterns
remains unknown for most species in the Atlantic Forest (da Silva Oliveira-Silva, Antonelli, Carnaval &
Provete, 2024; Peres et al., 2020).
Dispersal dynamics between the Atlantic Forest and other Neotropical regions have been linked to paleoen-
vironmental changes in the Cenozoic (i.e., the past 66 million years). During the Paleogene (ca. 66 to 23
million years ago, Mya), Amazonia and the Atlantic Forest seem to have been more interconnected than
today (Sobral-Souza & Lima Ribeiro, 2017). Yet, the extent of this connectivity remains under debate, and
the timing of the Atlantic Forest’s origin is still unclear (Jaramillo & C´ ardenas, 2013; Jaramillo, 2023).
Global cooling and the major Andean uplift in the Neogene (ca. 23 to 2.6 Mya) promoted the expansion
2
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of open habitats in the Neotropics, likely reducing the connectivity between the Atlantic Forest and other
Neotropical regions (Hoorn et al., 2010; Werneck, 2011). However, fossil and molecular evidence suggest that
intermittent humid corridors maintained connectivity during wet periods during the Pleistocene (Bonaccorso
et al., 2006; Batalha-Filho, Fjelds˚ a, Fabre & Miyaki, 2013; Cohelho et al., 2022), but also earlier in the Neo-
gene (Batalha-Filho et al., 2013; Marques-Souza et al., 2022). Under this scenario, the increasing isolation
of the Atlantic Forest, combined with intermittent reconnections to other regions, may have led to different
dispersal dynamics and biogeographical patterns across lineages (Batalha-Filho et al., 2013; Prates et al.,
2016; Sobral-Souza & Lima-Ribeiro, 2017; Bocalini, Bol´ ıvar-Leguizam´ on, Silveira & Bravo, 2021).
Pleistocene climatic fluctuations have also been major determinants of diversification and community as-
sembly within the Atlantic Forest – as initially proposed in the Pleistocene refugia hypothesis (Haffer 1969;
Brown 1976) and later including divergent selection in the Vanishing refuge model (Damasceno, Strangas,
Carnaval, Rodrigues & Moritz 2014). Both paleoclimatic (Carnaval and Moritz, 2008) and phylogenetic data
(Carnaval, Hickerson, Haddad, Rodrigues & Moritz, 2009; Silva, Moraes-Barros, Ribas, Ferrand & Morgante,
2012; Martins et al., 2011) support distinct regional evolutionary trajectories during climatic fluctuations:
while the region north of the Doce River (central Bahia) has remained paleoclimatically stable, the southeast
underwent dramatic environmental reconfigurations during cool phases, prompting many lineages to retreat
to mountain refuges (Carnaval et al., 2009; Peres et al., 2020). These regional differences may have led to
different diversification rates through time: constant in the north and increasing in the unstable south during
climatic fluctuations (Paz et al., 2021).
To offer further insights into the Atlantic Forest’s macroevolutionary history, we focus on the species-rich
butterfly family Nymphalidae, with nearly 500 species across the region (Brown & Freitas, 2000; Santos et
al., 2018). Their distribution patterns in the Atlantic Forest are well documented (Santos et al., 2018; Shirai,
Machado, Mota, Rosa & Freitas, 2019; Freitas et al., in prep.) and similar to other taxa, with the highest
species richness in the southeastern montane regions (Iserhard, Romanowski, Richter & Mendon¸ ca, 2017;
Santos et al., 2018). We build upon the most comprehensive global phylogeny of Nymphalidae to date (Chazot
et al., 2021), and sequenced 68 species, including 43 species previously absent from global time-calibrated
butterfly phylogenies (Chazot et al., 2021; Kawahara et al., 2023). Based on compiled distribution data for
1,096 species, we explored whether the diversity of Atlantic Forest Nymphalidae results from (1) a long
history of complete biotic isolation, reflected in early dispersal events (i.e., during the Paleogene) followed by
in situ diversification (i.e., within the Atlantic Forest); (2) gradual isolation, leading to decreasing interchange
with Amazonia and a stronger role of local speciation; or (3) continuous connectivity with other Neotropical
biomes, where recurrent dispersal dominates and local diversification plays a minor role. Furthermore, we
evaluated whether occurrence in montane regions and along the north–south biogeographic break may explain
the extant diversification rates within the Atlantic Forest nymphalids.
2 Material and methods
2.1 Molecular data
We targeted Nymphalidae species from the Atlantic Forest that were not previously sequenced in phylogenetic
studies. We sampled 68 adult specimens across eastern Brazil, including 43 species newly sequenced for
time-calibrated phylogenies (Table S1). We extracted DNA from legs using DNeasy Blood and Tissue Kits
(QIAGEN), and libraries were prepared and sequenced on an Illumina NovaSeq 6000 platform by the company
Novogene, UK. We checked the reads quality (FastQC v0.12.1, Andrews, 2010), trimmed the adapters (fastp,
Chen, 2023) and assembled de novo contigs (SPAdes v3.15.4, Prjibelski, Antipov, Meleshko, Lapidus &
Korobeynikov, 2020). Following the BUTTERFLY1.0 probe set (Espeland et al., 2018; Kawahara et al.,
2023), we retained 391 loci, including 11 legacy genes traditionally used in butterfly systematics (Wahlberg
and Wheat, 2008; Kawahara et al., 2018). We used the SECAPR v2.2.3 environment (Andermann, Cano,
Zizka, Bacon & Antonelli, 2018; Ribeiro et al., 2021) from de novo contig assembly to multiple sequence
alignments.
We focused on monophyletic groups from the Nymphalidae phylogeny of Chazot et al., (2021), with more
3
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than half of the species diversity occurring in the Neotropics. The function “CladeByTrait()” of the R package
‘speciesgeocodeR’ (T ¨opel et al., 2016) found nine neotropical groups (“Clades for Phylogenetic Inference”
in Table 1), representing the clades Danainae, Heliconiinae, Limenitidinae, Biblidini, a clade containing
Cyrestinae and Nymphalinae, Charaxinae, a Satyrinae subclade, Euptychiina and Pronophilina. We merged
our data with the most comprehensive phylogenies of Nymphalidae (Chazot et al., 2021) and butterflies in
general (Kawahara et al., 2023), and conducted multi-species alignments for each of the nine clades using
MAFFT v7.520 (Katoh & Standley, 2013), only retaining loci present in [?]10% of the species in that clade.
Final alignments were checked in Geneious Prime 2023.1.2, and are reported in Supporting Information
(https://doi.org/10.5061/dryad.wm37pvn11).
2.2 Time-calibrated phylogenetic inference
We infer phylogenetic relationships for each of the nine clades using IQ-TREE 2.2.0 (Minh et al., 2020)
under a concatenated, codon-partitioned scheme (Chernomor, von Haeseler & Minh, 2016), with model
selection performed by ModelFinder (Kalyaanamoorthy, Minh, Wong, von Haeseler & Jermiin , 2017).
Branch support was calculated using 1,000 ultrafast bootstrap replicates (Minh, Nguyen & von Haeseler,
2013), Shimodaira-Hasegawa approximate likelihood ratio tests, and approximate Bayes test (Anisimova,
Gil, Dufayard, Dessimoz & Gascuel, 2011).
To time calibrate each of the nine tree-topologies, we used the Bayesian approach implemented in MCMC-
Tree from PAML package v4.10.6 (Yang 2007). We used an independent-rates relaxed molecular clock model
(Drummond, Ho, Phillips & Rambaut, 2006) and the most complex substitution model available in MCMC-
Tree, the HKY85 (Hasegawa, Kishino & Yano, 1985). Due to the limited availability of butterfly fossils, we
used eight secondary calibration points, along with the crown age of each clade (Table S2), extracted from
the fossil-calibrated phylogeny of Chazot et al., (2021). To ensure convergence, the analysis was run two
times independently using random seeds, and similar results were observed (Figure S1).
2.3 Inference of biogeographical history
We estimated range evolution using the Dispersal-Extinction-Cladogenesis (DEC) model in the R package
‘BioGeoBEARS v.1.1.3’ (Matzke, 2018), subdividing the nine time-calibrated trees into 14 Neotropical sub-
clades to reduce noise and improve computational performance (Table 1 and Figure S2). We subdivided
the Neotropics into eight biogeographic regions: (1) Mesoamerica and northwestern lowland Andean slopes,
(2) Northern Andes (Ecuador, Colombia, Venezuela), (3) Central Andes (Peru, Bolivia), (4) Amazonia, (5)
Diagonal of open formations encompassing the Caatinga, Cerrado and Chaco biomes, (6) Northern Atlantic
Forest and (7) Southern Atlantic Forest, both delimited by the Doce river which reflects a strong community
turnover of animal and plant diversity, and (8) outside the defined Neotropical areas (Figure 1), largely
following the biogeographical regions proposed by Morrone (2014). To avoid unrealistic biogeographical
scenarios, we disallowed dispersal events between Mesoamerica and the Northern Andes from/to the Diag-
onal of open formations and the Atlantic Forest. This constraint was applied globally across the trees and
not stratified temporally. Unconstrained analyses (i.e., without adjacency matrix) were also performed for
comparison. Species ranges were compiled from the literature, including original descriptions, databases of
approximate range maps (Lepidoptera and some other life forms, Savela M.), geo-referenced occurrences
(GBIF and iNaturalist), and experts’ knowledge (distributional data reported in Table S3).
To account for divergence time uncertainty, we utilised 50 randomly selected trees from the MCMCtree
posterior distribution for each study clade, and to address ancestral geographical state uncertainty, we
performed 50 Biogeographical Stochastic Mappings per tree (BSM; Dupin et al., 2017). Dispersal rates were
extracted in 1 Myr intervals and scaled by total branch length per bin, following the approach described in
Antonelli et al., (2018) and the R scripts from Matos-Maravi et al., (2021).
2.4 Within-region species diversification analysis
We used CLaDS (Maliet et al., 2019; Maliet & Morlot, 2022) to estimate branch-specific diversification rates,
assuming a constant turnover across the entire phylogeny (one for each of the 14 subclades), and accounting
4
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for incomplete taxon sampling with a sampling probability vector (Table S4). To calculate diversification
rates within geographic regions, we combined the CLaDS outputs with BioGeoBEARS ancestral range esti-
mates from BSM. For each branch section, we identified the region(s) it occupied, weighted its diversification
rate by the proportion of its length in that region (“occupancy”), and further adjusted by the frequency
of occurrence across all BSM replicates. This approach ensured that branches only partially present in a
region, or with uncertain regional assignment, contributed proportionally less to the regional diversification
estimates. This was done for every 1 Myr time bin, allowing us to extract the diversification rate through
time at each region (R scripts in Supporting Information).
2.5 Effect of altitudinal variation on the diversification of Atlantic Forest Nymphalidae
We assessed whether environmental variation along altitudinal gradients in the Atlantic Forest were asso-
ciated with extant speciation rate heterogeneity among clades (i.e., tip rates). We categorised species into
lowland, highland, or generalist, and into northern, southern, or widespread distributions. Speciation rate
for each tip was estimated using either the ClaDS estimates or the tip-specific DR-statistic (Redding and
Mooers 2006), a non-model-based approach that approximates speciation rates (Jetz et al., 2012), calculated
with the R package ‘epm’ (Title, Swiderski & Zelditch, 2022). To test whether geographical occurrence
predicted tip speciation rates, we used phylogenetic generalised least-squares regression (PGLS; Martins
and Hansen, 1997), as implemented in the R package ‘caper’ (Orme, 2012). We ran the analyses for every
subclade separately, using either CLaDS rate or DR as response variables.
An extended version of the Methods section and the R scripts used here are available in the supplementary
Material
and Supporting information (https://doi.org/10.5061/dryad.wm37pvn11).
3 Results
3.1 Molecular data and time-calibrated phylogenetic inference
The size of our molecular datasets varied between 159,716 bp (Charaxinae clade) and 162,060 bp (Satyrinae
subclade), representing 387 and 391 loci, respectively. The Maximum Likelihood tree topologies inferred in
IQ-TREE 2.2.0 (Minh et al., 2020) were congruent with other recent published phylogenies focused on specific
taxa (e.g., Barbosa, Seraphim, Valencia, Azeredo-Espin & Freitas et al., 2022; Chazot et al., 2021; Cicconardi
et al., 2023; Espeland et al., 2023; Kawahara et al., 2023; Silva-Brandao et al., 2008; Yang & Zhang, 2015;
Yan et al., 2023). The few differences found were either at the species level or for relationships among
lineages that have been previously difficult to resolve: e.g., the genera Brassolis (Brassolini), Methona,
Hypothyris, and Hyalyris (Ithomiini), which were paraphyletic in our inferred phylogenies but were also
reported as having low phylogenetic support in previous studies (Chazot et al., 2019; Matos-Maravi et al.,
2021). Regardless, because such incongruences were very few and mostly at shallow phylogenetic levels, we
do not consider them to have biased our macroevolutionary and biogeographical inferences.
3.2 Inference of biogeographical history
Our Biogeographical Stochastic Mapping for the whole Neotropical region showed that the highest number
of dispersal events were into and out of Amazonia (231 events into and 427 events out), followed by the
Andes (336 events into and 423 events out) (Figure 1). Regarding the Atlantic Forest, Amazonia was also
the major source (144.78 events from Amazonia to Southern and Northern Atlantic Forest), compared to
the 131.3 events from the Andes to the Atlantic Forest.
Dispersal into the Atlantic Forest from other Neotropical regions occurred constantly through time until
about 10 Mya, when it accelerated toward the present (Figure 2). Overall, Amazonia has been the primary
source of lineages dispersing into the Atlantic Forest relatively constant throughout the Neogene, only sur-
passed by the Andean dispersal during the Eocene (prior to 33 Mya) and around 15 Mya, during the mid
Miocene (Figure 2). Dispersal from the Diagonal of open formations into the Atlantic Forest intensified from
11 Mya toward the present (Figure 2). When the northern and southern regions of the Atlantic Forest were
analysed separately, connectivity with other Neotropical regions was higher for the southern region (Figure
5
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S3). The unconstrained analysis showed a higher connectivity between northern Andes and the Atlantic
Forest, rather than central Andes (Figure S4).
The first extant lineages to disperse to the Atlantic Forest were Morphini (Satyrinae) which occurred around
47 Mya. This was followed by lineages of Charaxinae ( Memphis and Prepona ) and Biblidini (Biblidinae),
during the Eocene, around 43 Mya, and Euptychiina (Satyrinae) around 37 Mya. During the Oligocene
(33.9–23 Mya), lineages from the Haeterini (Satyrinae) and Melitaeini (Nymphalinae) clades dispersed to
the Atlantic Forest. The remaining Nymphalidae clades dispersed to the Atlantic Forest during the Miocene.
Within Charaxinae, two genera (Memphis and Prepona ) showed the highest dispersal rates into the Atlantic
Forest, with these rates increasing exponentially since the late Miocene. Another notable clade was the
Heliconiini (Heliconiinae), which showed high dispersal rates from Amazonia to the Atlantic Forest around
5 Mya (Figure S5).
3.3 Within-region species diversification analysis
The estimates of regional diversification rates obtained by ClaDS and BioGeoBEARS’ BSM suggested that
Atlantic Forest lineages had a steady and low diversification rate through time (Figure 3). This trend was
observed in both the northern and southern Atlantic Forest lineages, although the latter exhibited a higher
rate of diversification. A notable peak in diversification was estimated to have occurred around 15–17 Mya
in the southern Atlantic Forest, alongside a decline in diversification rates between 20 and 25 Mya for both
the southern and northern Atlantic Forest (Figure 3). When examining which lineages contributed most to
the overall increase in speciation rates, the Ithomiini and Adelpha had the most significant impact, showing
high speciation rates during the mid-Miocene across the Neotropics (˜15 Mya), and mostly represented in
the southern Atlantic Forest. In addition, the speciation rates of Euptychiina also stands out from the rest
during the Paleogene, ca 35-30 Mya (Figure S6).
3.4 Effect of altitudinal variation on the diversification of Atlantic Forest Nymphalidae
We did not find any phylogenetic correlation between tip-specific speciation rates and the current distri-
butional patterns of nymphalid butterflies in the Atlantic Forest, except for the tribe Ithomiini and the
genus Actinote (Heliconiinae: Acraeini). For Ithomiini, we found that altitudinal generalists (species that
are widespread along elevational gradients) that occur in the southern Atlantic Forest had higher speciation
rates compared to other lineages across the Atlantic Forest. Both ClaDS estimates (Estimate = 0.0593,
p-value = 0.0065) and DR metrics (Estimate = 0.1768, p-value = 0.0216) produced the same results. A
similar correlation was found for Actinote ; however, it was statistically significant only when using ClaDS’
speciation rates (Estimate = 0.0155, p-value = 0.0418) but not with DR metrics estimates (Estimate = -
0.0155, p-value = 0.6624). Although a significant positive effect on speciation by the lowland and widespread
state was found using the DR metrics in Haeterini (Estimate = 0.102, p-value = 7.306e-05), the effect was
found to be non-significant using ClaDS’ speciation rates (Estimate = 0.0046, p-value = 0.1304).
4 Discussion
The Atlantic Forest is regarded as one of the most threatened biodiversity hotspots in the world (Myers et al.,
2000). However, the macroevolutionary processes explaining extant biodiversity patterns of many species-
rich groups remain unclear. In this study, we inferred the evolutionary history of neotropical nymphalid
butterflies and found that the extant species diversity in the Atlantic Forest resulted from a consistently low
and steady net diversification rate over time, coupled with continuous biotic influx from other Neotropical
regions. Notably, dispersal rates into the Atlantic Forest intensified around 15 million years ago, suggesting
that regional species accumulation was primarily shaped by dispersal from other regions —primarily from
Amazonia— rather than in situ diversification, in line with the third scenario outlined in the introduction.
4.1 Atlantic Forest dispersal dynamics
We observed an overall increase in species dispersal to the Atlantic Forest since the mid-Miocene, 15 million
years ago, with an acceleration in the last ˜7 million years. The sources of dispersal into the Atlantic Forest
varied over time, which may be partially attributed to major environmental and geological changes. During
6
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the Neogene, the major Andean uplift and the global cooling trend drastically reconfigured the landscape,
precipitation patterns, and climate across the Neotropical region, resulting in the expansion of dry and open
formations in northern and central South America (Hoorn et al., 2010; Werneck, 2011). Yet, the precise
timing of the establishment of the Diagonal of open formations remains under debate. While molecular
phylogenies suggest an early to mid-Miocene split between forest biomes, fossil and molecular evidence from
C4 grasses and woody savanna flora indicate that their dominance began in the late Miocene (Azevedo et al.,
2020). Nevertheless, there is evidence of open vegetation formations as far back as the Palaeocene (Aguiar et
al., 2020). Our findings reveal an exponential-like increase in dispersal from the Diagonal of open formations
into the Atlantic Forest around 10 Mya. Even though the underlying drivers of such increase remain elusive,
they support the idea of a mid-to-late Miocene reconfiguration of environmental conditions, including the
establishment of suitable dispersal corridors for Nymphalid lineages with different ecological characteristics.
This increase may also reflect a larger source pool of lineages from northwestern South America, triggered
by the rapid speciation of many taxa during that period and in response to orogenic processes and regional
climate change (e.g., Antonelli et al., 2018b).
4.1.1 Amazonia as a source of Atlantic Forest diversity
As demonstrated by Antonelli et al., (2018), Amazonia played a major role as a source of Neotropical
diversity, including the Atlantic Forest. Here we also recovered Amazonia as the main source of Atlantic
Forest diversity, with a high and constant dispersal rate through time. Despite the ecological barrier posed
by the Diagonal of open formations, biotic corridors—likely formed by episodic wet forests or continuous
wet vegetation along rivers—might have enabled the exchange of fauna and flora between Neotropical forest
domains. For instance, Prates et al., (2017) suggested that throughout the Miocene, patches of suitable
humid habitats may have connected the Atlantic Forest with western South American forests, facilitating
species dispersal. This agrees with our findings and supports the idea that the expansion of the Diagonal of
open formations did not significantly reduce dispersal between Amazonia and Atlantic Forest nymphalids.
We speculate that the Neogene forest corridors allowed for continuous dispersal among forest-adapted
Nymphalid butterflies. These connections likely varied regionally, with stronger links to Amazonia through
central and northern routes, and weaker connections through southern corridors, including the Andes. Sim-
ilar connectivity patterns have been reported previously, although most indicate that the interchange was
frequent due to Pleistocene paleoclimatic fluctuations (Costa, 2003; Cohelho et al., 2022; Peres et al., 2020;
Sobral-Souza & Lima-Ribeiro, 2017). In contrast, only a few studies have documented older connections
during the Neogene (e.g., Marques-Souza et al., 2022), possibly mediated by riparian forests or remnant hu-
mid corridors (Trujillo-Arias et al., 2020, Pirani et al., 2020). In line with these studies, our results recover
continuous connectivity between the Atlantic Forest and other Neotropical biomes since the early Neogene,
likely facilitated by historical forest corridors linking these regions. We acknowledge that long-distance
dispersal events, facilitated for instance, by extreme winds, could also explain certain biotic interchange
without the necessity of fully connected corridors. Seasonal movements of individual butterflies have been
documented over distances of several kilometres in the Atlantic Forest. Additionally, migrations of certain
populations and communities can be inferred to occur over many hundreds of kilometres (Brown & Freitas
2000, 2002). However, we consider that such events should have been largely random, adding to the “noise”
in our analyses rather than being able to explain the steady increase in dispersals inferred, which are more
likely to reflect the conditions of the vegetation matrix over which animal movements could take place.
4.1.2 The role of the Andes on Atlantic Forest diversity
The central Andes is the second largest source of Nymphalidae diversity for the Atlantic Forest, as it has also
been reported for other taxonomic groups, such as rodents (Vallejos-Garrido et al., 2023), bats (Velazco &
Patterson, 2013), birds (Fjeldsa & Rahbek, 2006), and plants (Antonelli & Sanmartin, 2011). The Andes have
played an important role in generating species diversity in the Neotropics through high diversification and
emigration rates (Rangel et al., 2018; Antonelli et al., 2018c). For instance, the ithomiine genus Pteronymia
mainly diversified in the northern Andes, with much of their non-Andean diversity resulting from independent
dispersal events out of them (De-Silva et al., 2017). Similarly, tanagers and hummingbirds seem to have
7
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radiated and dispersed out of the northern Andes, which might have acted as cradles and museums of
species diversity (Beckman & Witt, 2015; Sonne et al., 2022). Indeed, a high connectivity between northern
Andes, rather than central Andes, and the Atlantic Forest was recovered in our unconstrained biogeographical
analyses (see Supplementary Materials), a pattern also recovered in a synthesis of Andean flora biogeography
(Perez-Escobar et al., 2022).
Unlike Amazonian dispersion –more or less constant–, the Andean dispersal rate has fluctuated over time.
During the early Miocene, the connectivity between the Andes and the Atlantic Forest increased, reaching
its peak around 15 Mya, when it even surpassed dispersal from Amazonia. This pattern may have been
enabled by biotic corridors linking the central Andes to the Atlantic Forest through the Cerrado and Chaco
transition zones, as reported for several lineages (Matos-Maravi, Pena, Willmott, Freitas & Wahlberg, 2013;
Moreira-Munoz et al., 2020; Pirani et al., 2020; Prates et al., 2017; Trujillo-Arias et al., 2018, 2020). In
addition, montane environments of the Atlantic Forest, like Serra do Mar and Serra da Mantiqueira, may have
facilitated the settlement and diversification of high-elevation Andean lineages in the region. For instance,
the montane genera Actinote diversified in the Andes but, once it colonized the southern Atlantic Forest,
achieved its greatest species richness in the mountain forests of the region, with some lineages recolonizing
the Andes from the Atlantic Forest (Guerato et al., 2023; Magaldi et al., 2024). In this regard, Brown
(1987) identified a high similarity in butterfly lineage composition between the Andes and south-eastern
Brazil, whereas Safford (2007) suggested a similar shared evolutionary pattern based on floristic composition
analyses. Therefore, the high rates of Andean diversification together with early Miocene dispersal corridors
might have promoted an interchange of lineages with the Atlantic Forest.
4.2 Atlantic Forest diversification
Within the Neotropical region, a gradual accumulation of Nymphalidae lineages is explained by steady
speciation rates and low extinction rates (Chazot et al., 2021), a common pattern found in Neotropical
butterflies (Matos-Maravi, 2016) and plants (Meseguer et al., 2022). We found that net diversification
rates within the Atlantic Forest have remained low and constant, contrasting with other global tropical
biodiversity hotspots characterized by high diversification rates (Igea and Tanentzap, 2019). This slow and
gradual accumulation of lineages is consistent with previous reports that considered the Atlantic Forest as a
‘museum of diversity’ for butterflies (Matos-Maravi et al., 2021).
Despite the overall constant diversification rate, we find certain regional differences when studying the
southern and northern Atlantic Forest individually. In particular, during the Paleogene, the southern region
experienced a slight increase in net diversification rate, likely related to the arrival of rapidly diversifying
nymphalid groups across the Neotropics, such as Adelpha and Ithomiini (two clades known by their remark-
ably high species richness in the Andes) (Chazot et al., 2016; Ebel et al., 2015). Moreover, the complex
topography of the south may have further contributed to these regional disparities.
We hypothesise that the Atlantic Forest mountain ranges played an important role in the diversification
of such lineages. Different mechanisms are known to promote species diversification in the Neotropical
mountains. On one hand, mountain tops can act as isolated islands promoting allopatric diversification
between scattered populations with restricted elevational ranges (Brown, 1987; Chaves, Freitas, Vasconcelos
& Santos 2014, Magaldi et al., 2024). On the other hand, habitat complexity of montane environments
can act as species attractors, with higher rates of colonization towards the mountains, as found for the
ithomiine subtribe Godyridina in the Andes (Chazot et al., 2016b). Interestingly, a positive correlation
emerged between wide altitudinal distribution (i.e., generalists species occurring in highlands and lowlands)
and increased speciation rates in ithomiine butterflies of the southern Atlantic Forest. Highland specialists,
however, showed no such pattern, contrary to expectations. This pattern may be explained by habitat
heterogeneity along mountain ranges that could facilitate population differentiation in widespread lineages
and eventually speciation. Indeed, habitat fragmentation driven by the Pleistocene climatic fluctuations
might have pushed lineages toward mountain climatic refuges and facilitated allopatric diversification (Brown
1987, Carnaval and Moritz, 2008). Furthermore, the southern Atlantic Forest has higher levels of species
richness than the northern region, which is explained not by higher dispersal rates but also higher speciation
8
Posted on 15 Sep 2025 — The copyright holder is the author/funder. All rights reserved. No reuse without permission. — https://doi.org/10.22541/au.175795178.89475040/v1 — This is a preprint and has not been peer-reviewed. Data may be preliminary.
rates, particularly involving mountain lineages in both the Atlantic Forest and the Andes. Both scenarios
explain the current species richness in mountain ranges but are driven by different processes. Overall,
for nymphalids, Pleistocene climatic fluctuations did not increase species diversification, but Nymphalidae
species diversity accumulated gradually in the Atlantic Forest mainly through dispersal.
5 Conclusions
Our study shows that the Atlantic Forest Nymphalidae diversity has been shaped under a complex scenario
of varying biotic connectivity through time with different biogeographical regions, including the central
Andes and Amazonia. Despite the Diagonal of open formations being hypothesised as an important biogeo-
graphical barrier for wet forest lineages, the increased late Miocene to Pleistocene dispersal we detected in
the Atlantic Forest suggests that corridors with suitable habitats for different Nymphalidae lineages likely
maintained connectivity through time, especially between Amazonia and the Atlantic Forest. Overall, our
findings underscore the importance of jointly studying diversification and dispersal rates to understand the
macroevolutionary processes shaping extant biodiversity patterns in one of the world’s most biodiverse yet
threatened regions.
References
Aguiar, A. J. C., Melo, G. A. R., Vasconcelos, T. N. C., Goncalves, R. B., Giugliano, L., & Mar-
tins, A. C. (2020). Biogeography and early diversification of Tapinotaspidini oil-bees support pres-
ence of Paleocene savannas in South America. Molecular Phylogenetics and Evolution , 143 , 106692.
https://doi.org/10.1016/j.ympev.2019.106692
Andermann, T., Cano, A., Zizka, A., Bacon, C., & Antonelli, A. (2018). SECAPR-a bioinformatics pipeline
for the rapid and user-friendly processing of targeted enriched Illumina sequences, from raw reads to align-
ments. PeerJ , 6 , e5175. https://doi.org/10.7717/peerj.5175
Andrews, S. (2010). FastQC: a quality control tool for high throughput sequence data, Available online at:
http://www.bioinformatics.babraham.ac.uk/projects/fastqc
Anisimova, M., Gil, M., Dufayard, J.-F., Dessimoz, C., & Gascuel, O. (2011). Survey of Branch Sup-
port Methods Demonstrates Accuracy, Power, and Robustness of Fast Likelihood-based Approximation
Schemes.Systematic Biology , 60 (5), 685–699. https://doi.org/10.1093/sysbio/syr041
Antonelli A, Ariza M, Albert J, Andermann T, Azevedo J, Bacon C, . . . Edwards SV. 2018. Conceptual and
empirical advances in Neotropical biodiversity research. PeerJ 6:e5644 https://doi.org/10.7717/peerj.5644
Antonelli, A., Kissling, W. D., Flantua, S. G. A., Bermudez, M. A., Mulch, A., Muellner-Riehl, . . . Hoorn, C.
(2018). Geological and climatic influences on mountain biodiversity. Nature Geoscience ,11 (10), 718–725.
https://doi.org/10.1038/s41561-018-0236-z
Antonelli, A., & Sanmartin, I. (2011). Why are there so many plant species in the Neotropics? TAXON ,
60 (2), 403–414. https://doi.org/10.1002/tax.602010
Antonelli, A., Zizka, A., Carvalho, F. A., Scharn, R., Bacon, C. D., Silvestro, D., & Condamine, F. L. (2018).
Amazonia is the primary source of Neotropical biodiversity. Proceedings of the National Academy of Sciences
, 115 (23), 6034–6039. https://doi.org/10.1073/pnas.1713819115
Azevedo, J. A. R., Collevatti, R. G., Jaramillo, C. A., Stromberg, C. A. E., Guedes, T. B., Matos-Maravi,
P., . . . Antonelli, A. (2020). On the Young Savannas in the Land of Ancient Forests. In V. Rull & A. C.
Carnaval (Eds.), Neotropical Diversification: Patterns and Processes (pp. 271–298). Springer International
Publishing. https://doi.org/10.1007/978-3-030-31167-4 12
Barbosa, E. P., Seraphim, N., Valencia, G., Azeredo-Espin, A. M. L., & Freitas, A. V. L. (2022).
Phylogenetic systematics of Yphthimoides Forster, 1964 and related taxa, with notes on the biogeo-
graphical history of Yphthimoides species. Molecular Phylogenetics and Evolution , 168 , 107390.
https://doi.org/10.1016/j.ympev.2022.107390
9
Posted on 15 Sep 2025 — The copyright holder is the author/funder. All rights reserved. No reuse without permission. — https://doi.org/10.22541/au.175795178.89475040/v1 — This is a preprint and has not been peer-reviewed. Data may be preliminary.
Batalha-Filho, H., Fjeldsa, J., Fabre, P.-H., & Miyaki, C. Y. (2013). Connections between the Atlantic and
the Amazonian forest avifaunas represent distinct historical events. Journal of Ornithology ,154 (1), 41–50.
https://doi.org/10.1007/s10336-012-0866-7
Beckman, E. J., & Witt, C. C. (2015). Phylogeny and biogeography of the New World siskins and goldfinches:
Rapid, recent diversification in the Central Andes. Molecular Phylogenetics and Evolution , 87 , 28–45.
https://doi.org/10.1016/j.ympev.2015.03.005
Bocalini, F., Bolivar-Leguizamon, S. D., Silveira, L. F., & Bravo, G. A. (2021). Comparative phylogeographic
and demographic analyses reveal a congruent pattern of sister relationships between bird populations of
the northern and south-central Atlantic Forest. Molecular Phylogenetics and Evolution , 154 , 106973.
https://doi.org/10.1016/j.ympev.2020.106973
Brown JR, K. S. (1976). Geographical patterns of evolution in Neotropical Lepidoptera. Systematics and
derivation of known and new Heliconiini (Nymphalidae: Nymphalinae). Journal of Entomology Series B,
Taxonomy , 44 (3), 201–242. https://doi.org/10.1111/j.1365-3113.1976.tb00014.x
Brown, Jr, K.S. (1987) Biogeography and evolution of Neotropical butterflies; Conclusions, synthesis, and
alternative hypotheses. In Biogeography and Quaternary History in Tropical America (T.C. Whitmore and
G.T. Prance, eds) pp.66–104, 175–96. Oxford: Clarendon.
Brown, K. S., & Freitas, A. V. L. (2000). Atlantic Forest Butterflies: Indicators for Landscape Conservation
. 23.
Carnaval, A. C., Hickerson, M. J., Haddad, C. F. B., Rodrigues, M. T., & Moritz, C. (2009). Stabil-
ity Predicts Genetic Diversity in the Brazilian Atlantic Forest Hotspot. Science , 323 (5915), 785–789.
https://doi.org/10.1126/science.1166955
Carnaval, A. C., & Moritz, C. (2008). Historical climate modelling predicts patterns of current biodiversity in
the Brazilian Atlantic forest. Journal of Biogeography , 35 (7), 1187–1201. https://doi.org/10.1111/j.1365-
2699.2007.01870.x
Carrillo, J. D., Faurby, S., Silvestro, D., Zizka, A., Jaramillo, C., Bacon, C. D., & Antonelli, A.
(2020). Disproportionate extinction of South American mammals drove the asymmetry of the Great
American Biotic Interchange. Proceedings of the National Academy of Sciences ,117 (42), 26281–26287.
https://doi.org/10.1073/pnas.2009397117
Chaves, A. V., Freitas, G. H. S., Vasconcelos, M. F., & Santos, F. R. (2014). Biogeographic patterns,
origin and speciation of the endemic birds from eastern Brazilian mountaintops: A review. Systematics and
Biodiversity , 13 (1), 1–16. https://doi.org/10.1080/14772000.2014.972477
Chazot, N., Condamine, F. L., Dudas, G., Pena, C., Kodandaramaiah, U., Matos-Maravi, P., . . .
Wahlberg, N. (2021). Conserved ancestral tropical niche but different continental histories explain
the latitudinal diversity gradient in brush-footed butterflies. Nature Communications , 12 (1), 5717.
https://doi.org/10.1038/s41467-021-25906-8
Chazot, N., Willmott, K. R., Condamine, F. L., De-Silva, D. L., Freitas, A. V. L., Lamas, G., . . . Elias, M.
(2016). Into the Andes: Multiple independent colonizations drive montane diversity in the Neotropical clear-
wing butterflies Godyridina. Molecular Ecology ,25 (22), 5765–5784. https://doi.org/10.1111/mec.13773
Chazot, N., Willmott, K. R., Freitas, A. V. L., de Silva, D. L., Pellens, R., & Elias, M. (2016). Pat-
terns of Species, Phylogenetic and Mimicry Diversity of Clearwing Butterflies in the Neotropics. In
R. Pellens & P. Grandcolas (Eds.), Biodiversity Conservation and Phylogenetic Systematics: Preserv-
ing our evolutionary heritage in an extinction crisis (pp. 333–354). Springer International Publishing.
https://doi.org/10.1007/978-3-319-22461-9 17
Chazot, N., Willmott, K. R., Lamas, G., Freitas, A. V. L., Piron-Prunier, F., Arias, C. F., . . . Elias, M.
(2019). Renewed diversification following Miocene landscape turnover in a Neotropical butterfly radiation.
10
Posted on 15 Sep 2025 — The copyright holder is the author/funder. All rights reserved. No reuse without permission. — https://doi.org/10.22541/au.175795178.89475040/v1 — This is a preprint and has not been peer-reviewed. Data may be preliminary.
Global Ecology and Biogeography ,28 (8), 1118–1132. https://doi.org/10.1111/geb.12919
Chen, S. (2023). Ultrafast one-pass FASTQ data preprocessing, quality control, and deduplication using
fastp. iMeta , 2 (2), e107. https://doi.org/10.1002/imt2.107
Chernomor, O., von Haeseler, A., & Minh, B. Q. (2016). Terrace Aware Data Structure for Phylogenomic
Inference from Supermatrices.Systematic Biology , 65 (6), 997–1008. https://doi.org/10.1093/sysbio/syw037
Cicconardi, F., Milanetti, E., Pinheiro De Castro, E. C., Mazo-Vargas, A., Van Belleghem, S. M., Ruggieri,
A. A., . . . Montgomery, S. H. (2023). Evolutionary dynamics of genome size and content during the adaptive
radiation of Heliconiini butterflies. Nature Communications , 14 (1), 5620. https://doi.org/10.1038/s41467-
023-41412-5
Coelho, F. E. A., Camurugi, F., Marques, R., Magalhaes, F. D. M., Werneck, F. P., & Garda, A.
A. (2022). Historical connections between Atlantic Forest and Amazonia drove genetic and ecolog-
ical diversity in Lithobates palmipes (Anura, Ranidae). Systematics and Biodiversity , 20 (1), 1–19.
https://doi.org/10.1080/14772000.2022.2046657
Costa, L. P. (2003). The historical bridge between the Amazon and the Atlantic Forest of Brazil: A
study of molecular phylogeography with small mammals: Phylogeography of Neotropical forest small mam-
mals.Journal of Biogeography , 30 (1), 71–86. https://doi.org/10.1046/j.1365-2699.2003.00792.x
Damasceno, R., Strangas, M. L., Carnaval, A. C., Rodrigues, M. T., & Moritz, C. (2014).
Revisiting the vanishing refuge model of diversification. Frontiers in Genetics , 5 , 353.
https://doi.org/10.3389/fgene.2014.00353
da Silva, F. R., Oliveira-Silva, A. E. de, Antonelli, A., Carnaval, A. C., & Provete, D. B. (2024). Zoogeo-
graphical regions in the Atlantic Forest: Patterns and potential drivers. Journal of Biogeography ,51 (10),
1852–1863. https://doi.org/10.1111/jbi.14859
De Mello Martins, F. (2011). Historical biogeography of the Brazilian Atlantic forest and the Carnaval-Moritz
model of Pleistocene refugia: What do phylogeographical studies tell us?: History of the Atlantic Forest. Bio-
logical Journal of the Linnean Society , 104 (3), 499–509. https://doi.org/10.1111/j.1095-8312.2011.01745.x
de Moraes Magaldi, L., Gueratto, P. E., Ortega-Abboud, E., Sobral-Souza, T., Joron, M., de Souza, A. P.,
Freitas, A. V. L., & Silva-Brandao, K. L. (2024). Montane diversification as a mechanism of speciation in
neotropical butterflies. Ecology and Evolution , 14 (7), e11704. https://doi.org/10.1002/ece3.11704
De-Silva, D. L., Mota, L. L., Chazot, N., Mallarino, R., Silva-Brandao, K. L., Pinerez, L. M. G., . . . Elias,
M. (2017). North Andean origin and diversification of the largest ithomiine butterfly genus.Scientific Reports
, 7 (1), 45966. https://doi.org/10.1038/srep45966
Drummond, A. J., Ho, S. Y. W., Phillips, M. J., & Rambaut, A. (2006). Relaxed Phylogenetics and Dating
with Confidence. PLOS Biology ,4 (5), e88. https://doi.org/10.1371/journal.pbio.0040088
Dupin, J., Matzke, N. J., Sarkinen, T., Knapp, S., Olmstead, R. G., Bohs, L., & Smith, S. D. (2017).
Bayesian estimation of the global biogeographical history of the Solanaceae. Journal of Biogeography , 44
(4), 887–899. https://doi.org/10.1111/jbi.12898
Ebel, E. R., DaCosta, J. M., Sorenson, M. D., Hill, R. I., Briscoe, A. D., Willmott, K. R., & Mullen, S.
P. (2015). Rapid diversification associated with ecological specialization in Neotropical Adelpha butterflies.
Molecular Ecology , 24 (10), 2392–2405. https://doi.org/10.1111/mec.13168
Espeland, M., Breinholt, J., Willmott, K. R., Warren, A. D., Vila, R., Toussaint, E. F. A., . . . Kawahara,
A. Y. (2018). A Comprehensive and Dated Phylogenomic Analysis of Butterflies. Current Biology ,28 (5),
770-778.e5. https://doi.org/10.1016/j.cub.2018.01.061
Espeland, M., Nakahara, S., Zacca, T., Barbosa, E. P., Huertas, B., Marin, M. A., . . . Willmott, K. R.
(2023). Combining target enrichment and Sanger sequencing data to clarify the systematics of the diverse
11
Posted on 15 Sep 2025 — The copyright holder is the author/funder. All rights reserved. No reuse without permission. — https://doi.org/10.22541/au.175795178.89475040/v1 — This is a preprint and has not been peer-reviewed. Data may be preliminary.
Neotropical butterfly subtribe Euptychiina (Nymphalidae, Satyrinae). Systematic Entomology , 48 (4),
498–570. https://doi.org/10.1111/syen.12590
Fiaschi, P., & Pirani, J. R. (2009). Review of plant biogeographic studies in Brazil. Journal of Systematics
and Evolution ,47 (5), 477–496. https://doi.org/10.1111/j.1759-6831.2009.00046.x
Fine, P. V. A., & Ree, R. H. (2006). Evidence for a Time-Integrated Species-Area Effect on the Latitudinal
Gradient in Tree Diversity.The American Naturalist , 168 (6), 796–804. https://doi.org/10.1086/508635
Fjeldsa, J., & Rahbek, C. (2006). Diversification of tanagers, a species rich bird group, from low-
lands to montane regions of South America. Integrative and Comparative Biology , 46 (1), 72–81.
https://doi.org/10.1093/icb/icj009
GBIF: The Global Biodiversity Information Facility (year) What is GBIF? . Available from
https://www.gbif.org/what-is-gbif [13 January 2020]
Goldberg, E. E., Lancaster, L. T., & Ree, R. H. (2011). Phylogenetic Inference of Reciprocal Ef-
fects between Geographic Range Evolution and Diversification. Systematic Biology , 60 (4), 451–465.
https://doi.org/10.1093/sysbio/syr046
Goldberg, E. E., Roy, K., Lande, R., & Jablonski, D. (2005). Diversity, Endemism, and Age
Distributions in Macroevolutionary Sources and Sinks. The American Naturalist , 165 (6), 623–633.
https://doi.org/10.1086/430012
Gueratto, P. E. (2023). Neotropical butterflies: A historical approach to understand biogeographic patterns.
[Doctoral dissertation, Universidade Estadual de Campinas]. Repositorio da Producao Cientifica e Intelectual
da Unicamp. 105 p. rpc.oai.1361979
Hadad, C., Toledo, L. F., Prado, C., Loebmann, D., Gasparini, J., & Sazima, I. (2013). Guia dos anfibios
da Mata Atlantica: Diversidade e biologia / Guide to the amphibians of the Atlantic Forest: Diversity and
biology.
Haffer, J. (1969). Speciation in Amazonian Forest Birds. In Science (Vol. 165, Issue 3889, pp. 131–137).
Hasegawa, M., Kishino, H., & Yano, T. (1985). Dating of the human-ape splitting by a molecular clock of
mitochondrial DNA. Journal of Molecular Evolution , 22 (2), 160–174. https://doi.org/10.1007/BF02101694
Hoorn, C., Wesselingh, F. P., Ter Steege, H., Bermudez, M. A., Mora, A., Sevink, J., . . . Antonelli, A. (2010).
Amazonia Through Time: Andean Uplift, Climate Change, Landscape Evolution, and Biodiversity. Science
, 330 (6006), 927–931. https://doi.org/10.1126/science.1194585
Hubbel, S. P. (2001). The Unified Neutral Theory of Biodiversity and Biogeography (MPB-32) . Princeton
University Press; JSTOR. http://www.jstor.org/stable/j.ctt7rj8w
Igea, J., & Tanentzap, A. J. (2019). Multiple macroevolutionary routes to becoming a biodiversity hotspot.
Science Advances ,5 (2), eaau8067. https://doi.org/10.1126/sciadv.aau8067
Iserhard, C. A., Romanowski, H. P., Richter, A., & Mendonca, M. de S., Jr. (2017). Monitoring Tem-
poral Variation to Assess Changes in the Structure of Subtropical Atlantic Forest Butterfly Communi-
ties.Environmental Entomology , 46 (4), 804–813. https://doi.org/10.1093/ee/nvx115
Jaramillo, C. (2023). The evolution of extant South American tropical biomes. New Phytologist , 239 (2),
477–493. https://doi.org/10.1111/nph.18931
Jaramillo, C., & Cardenas, A. (2013). Global Warming and Neotropical Rainforests: A Historical Perspec-
tive. Annual Review of Earth and Planetary Sciences , 41 (1), 741–766. https://doi.org/10.1146/annurev-
earth-042711-105403
Jetz, W., Thomas, G. H., Joy, J. B., Hartmann, K., & Mooers, A. O. (2012). The global diversity of birds
in space and time. Nature ,491 (7424), 444–448. https://doi.org/10.1038/nature11631
12
Posted on 15 Sep 2025 — The copyright holder is the author/funder. All rights reserved. No reuse without permission. — https://doi.org/10.22541/au.175795178.89475040/v1 — This is a preprint and has not been peer-reviewed. Data may be preliminary.
Joly, C. A., Metzger, J. P., & Tabarelli, M. (2014). Experiences from the Brazilian Atlantic Forest: Ecological
findings and conservation initiatives. New Phytologist , 204 (3), 459–473. https://doi.org/10.1111/nph.12989
Kalyaanamoorthy, S., Minh, B. Q., Wong, T. K. F., von Haeseler, A., & Jermiin, L. S. (2017). Mod-
elFinder: Fast model selection for accurate phylogenetic estimates. Nature Methods , 14 (6), 587–589.
https://doi.org/10.1038/nmeth.4285
Katoh, K., & Standley, D. M. (2013). MAFFT multiple sequence alignment software version
7: Improvements in performance and usability. Molecular Biology and Evolution , 30 (4), 772–780.
https://doi.org/10.1093/molbev/mst010
Kawahara, A. Y., Breinholt, J. W., Espeland, M., Storer, C., Plotkin, D., Dexter, K. M., . . .
Lohman, D. J. (2018). Phylogenetics of moth-like butterflies (Papilionoidea: Hedylidae) based on
a new 13-locus target capture probe set. Molecular Phylogenetics and Evolution ,127 , 600–605.
https://doi.org/10.1016/j.ympev.2018.06.002
Kawahara, A. Y., Storer, C., Carvalho, A. P. S., Plotkin, D. M., Condamine, F. L., Braga, M. P., . . .
Lohman, D. J. (2023). A global phylogeny of butterflies reveals their evolutionary history, ancestral hosts
and biogeographic origins. Nature Ecology & Evolution ,7 (6), 903–913. https://doi.org/10.1038/s41559-
023-02041-9
Kuhnhauser, B. G., Bates, C. D., Dransfield, J., Geri, C., Henderson, A., Julia, S., Lim, J. Y., . . . Baker,
W. J. (2025). Island geography drives evolution of rattan palms in tropical Asian rainforests. Science , 387
(6739), 1204–1209. https://doi.org/10.1126/science.adp3437
Maliet, O., Hartig, F., & Morlon, H. (2019). A model with many small shifts for estimating species-specific
diversification rates.Nature Ecology & Evolution , 3 (7), 1086–1092. https://doi.org/10.1038/s41559-019-
0908-0
Maliet, O., & Morlon, H. (2022). Fast and Accurate Estimation of Species-Specific Diversification Rates
Using Data Augmentation.Systematic Biology , 71 (2), 353–366. https://doi.org/10.1093/sysbio/syab055
Marques, M. C. M., & Grelle, C. E. V. (Eds.). (2021). The Atlantic Forest: History, Biodiversity, Threats and
Opportunities of the Mega-diverse Forest . Springer International Publishing. https://doi.org/10.1007/978-
3-030-55322-7
Marques-Souza, S., Pellegrino, K. C. M., Brunes, T. O., Rojas-Runjaic, F. J. M., & Rodrigues, M. T. (2022).
A molecular perspective on the systematics and distribution of Loxopholis lizards in South and Central
America, with advances on the biogeography of the tribe Ecpleopodini (Gymnophthalmidae: Squamata).
Systematics and Biodiversity , 20 (1), 1–14. https://doi.org/10.1080/14772000.2022.2119295
Martini, A. M. Z., Fiaschi, P., Amorim, A., & Paixao, J. (2007). A hot-point within a hot-spot:
A high diversity site in Brazil’s Atlantic Forest. Biodiversity and Conservation , 16 , 3111–3128.
https://doi.org/10.1007/s10531-007-9166-6
Martins, E., & Hansen, T. (1997). Phylogenies and the Comparative Method: A General Approach to
Incorporating Phylogenetic Information into the Analysis of Interspecific Data.American Naturalist - AMER
NATURALIST , 149 . https://doi.org/10.1086/286013
Matos-Maravi, P. (2016). Investigating the timing of origin and evolutionary processes shaping regional
species diversity: Insights from simulated data and neotropical butterfly diversification rates. Evolution , 70
(7), 1638–1650. https://doi.org/10.1111/evo.12960
Matos-Maravi, P. F., Pena, C., Willmott, K. R., Freitas, A. V. L., & Wahlberg, N. (2013). Systematics and
evolutionary history of butterflies in the “Taygetis clade” (Nymphalidae: Satyrinae: Euptychiina): Towards
a better understanding of Neotropical biogeography. Molecular Phylogenetics and Evolution , 66 (1), 54–68.
https://doi.org/10.1016/j.ympev.2012.09.005
13
Posted on 15 Sep 2025 — The copyright holder is the author/funder. All rights reserved. No reuse without permission. — https://doi.org/10.22541/au.175795178.89475040/v1 — This is a preprint and has not been peer-reviewed. Data may be preliminary.
Matos-Maravi, P., Wahlberg, N., Freitas, A. V. L., Devries, P., Antonelli, A., & Penz, C. M. (2021).
Mesoamerica is a cradle and the Atlantic Forest is a museum of Neotropical butterfly diversity: Insights
from the evolution and biogeography of Brassolini (Lepidoptera: Nymphalidae). Biological Journal of the
Linnean Society , 21.
Matzke, N. J. (2018). Nmatzke/BioGeoBEARS: BioGeoBEARS: BioGeography with Bayesian (and
likelihood) Evolutionary Analysis with R Scripts (Version v1.1.1) [Computer software]. Zenodo.
https://doi.org/10.5281/zenodo.1478250
Meseguer, A. S., Michel, A., Fabre, P.-H., Perez Escobar, O. A., Chomicki, G., Riina, R., . . . Condamine,
F. L. (2022). Diversification dynamics in the Neotropics through time, clades, and biogeographic regions.
eLife , 11 , e74503. https://doi.org/10.7554/eLife.74503
Minh, B. Q., Nguyen, M. A. T., & von Haeseler, A. (2013). Ultrafast Approximation for Phylogenetic
Bootstrap. Molecular Biology and Evolution , 30 (5), 1188–1195. https://doi.org/10.1093/molbev/mst024
Minh, B. Q., Schmidt, H. A., Chernomor, O., Schrempf, D., Woodhams, M. D., von Haeseler, A., & Lanfear,
R. (2020). IQ-TREE 2: New Models and Efficient Methods for Phylogenetic Inference in the Genomic
Era.Molecular Biology and Evolution , 37 (5), 1530–1534. https://doi.org/10.1093/molbev/msaa015
Mittelbach, G. G., Schemske, D. W., Cornell, H. V., Allen, A. P., Brown, J. M., Bush, M. B., . . . Turelli, M.
(2007). Evolution and the latitudinal diversity gradient: Speciation, extinction and biogeography. Ecology
Letters , 10 (4), 315–331. https://doi.org/10.1111/j.1461-0248.2007.01020.x
Moreira-Munoz, A., Scherson, R. A., Luebert, F., Roman, M. J., Monge, M., Diazgranados, M., & Silva, H.
(2020). Biogeography, phylogenetic relationships and morphological analyses of the South American genus
Mutisia L.f. (Asteraceae) shows early connections of two disjunct biodiversity hotspots. Organisms Diversity
& Evolution ,20 (4), 639–656. https://doi.org/10.1007/s13127-020-00454-z
Morrone, J. J. (2014). Biogeographical regionalisation of the Neotropical region. Zootaxa , 3782 (1), 1.
https://doi.org/10.11646/zootaxa.3782.1.1
Myers, N., Mittermeier, R. A., Mittermeier, C. G., da Fonseca, G. A. B., & Kent, J. (2000). Biodiversity
hotspots for conservation priorities. Nature , 403 (6772), 853–858. https://doi.org/10.1038/35002501
Orme, D., Freckleton, R., Thomas, G., Petzoldt, T., Fritz, S., Isaac, N., & Pearse, W. (2012). CAPER:
Comparative Analyses of Phylogenetics and Evolution in R .
Paz, A., Brown, J. L., Cordeiro, C. L. O., Aguirre-Santoro, J., Assis, C., Amaro, R. C., . . . Carnaval, A. C.
(2021). Environmental correlates of taxonomic and phylogenetic diversity in the Atlantic Forest. Journal of
Biogeography , 48 (6), 1377–1391. https://doi.org/10.1111/jbi.14083
Peres, E. A., Pinto-da-Rocha, R., Lohmann, L. G., Michelangeli, F. A., Miyaki, C. Y., & Carnaval, A. C.
(2020). Patterns of Species and Lineage Diversity in the Atlantic Rainforest of Brazil. In V. Rull & A. C.
Carnaval (Eds.), Neotropical Diversification: Patterns and Processes (pp. 415–447). Springer International
Publishing. https://doi.org/10.1007/978-3-030-31167-4 16
Perez-Escobar, O. A., Zizka, A., Bermudez, M. A., Meseguer, A. S., Condamine, F. L., Hoorn, C., . . .
Chomicki, G. (2022). The Andes through time: Evolution and distribution of Andean floras. Trends in
Plant Science , 27 (4), 364–378. https://doi.org/10.1016/j.tplants.2021.09.010
Pirani, R. M., Peloso, P. L. V., Prado, J. R., Polo, E. M., Knowles, L. L., Ron, S. R., . . . Wer-
neck, F. P. (2020). Diversification history of clown tree frogs in Neotropical rainforests (Anura, Hyl-
idae, Dendropsophus leucophyllatus group). Molecular Phylogenetics and Evolution , 150 , 106877.
https://doi.org/10.1016/j.ympev.2020.106877
Prates, I., Melo-Sampaio, P. R., Drummond, L. D. O., Teixeira, M., Rodrigues, M. T., & Carnaval, A. C.
(2017). Biogeographic links between southern Atlantic Forest and western South America: Rediscovery,
14
Posted on 15 Sep 2025 — The copyright holder is the author/funder. All rights reserved. No reuse without permission. — https://doi.org/10.22541/au.175795178.89475040/v1 — This is a preprint and has not been peer-reviewed. Data may be preliminary.
re-description, and phylogenetic relationships of two rare montane anole lizards from Brazil. Molecular
Phylogenetics and Evolution ,113 , 49–58. https://doi.org/10.1016/j.ympev.2017.05.009
Prates, I., Xue, A. T., Brown, J. L., Alvarado-Serrano, D. F., Rodrigues, M. T., Hickerson, M.
J., & Carnaval, A. C. (2016). Inferring responses to climate dynamics from historical demography
in neotropical forest lizards. Proceedings of the National Academy of Sciences ,113 (29), 7978–7985.
https://doi.org/10.1073/pnas.1601063113
Prjibelski, A., Antipov, D., Meleshko, D., Lapidus, A., & Korobeynikov, A. (2020). Using SPAdes De Novo
Assembler. Current Protocols in Bioinformatics , 70 (1), e102. https://doi.org/10.1002/cpbi.102
R Core Team (2024). R: A Language and Environment for Statistical Computing. R Foundation for
Statistical Computing, Vienna, Austria. Available at https://www.R-project.org/.
Rangel, T. F., Edwards, N. R., Holden, P. B., Diniz-Filho, J. A. F., Gosling, W. D., Coelho, M. T. P.,
. . . Colwell, R. K. (2018). Modeling the ecology and evolution of biodiversity: Biogeographical cradles,
museums, and graves. Science , 361 (6399), eaar5452. https://doi.org/10.1126/science.aar5452
Redding, D. W., & Mooers, A. O. (2006). Incorporating Evolutionary Measures into Conservation Prioriti-
zation. Conservation Biology ,20 (6), 1670–1678. https://doi.org/10.1111/j.1523-1739.2006.00555.x
Ribeiro, P. G., Torres Jimenez, M. F., Andermann, T., Antonelli, A., Bacon, C. D., & Matos-Maravi, P.
(2021). A bioinformatic platform to integrate target capture and whole genome sequences of various read
depths for phylogenomics. Molecular Ecology , 30 (23), 6021–6035. https://doi.org/10.1111/mec.16240
Safford, H. D. (2007). Brazilian Paramos IV. Phytogeography of the campos de altitude. Journal of Bio-
geography , 34 (10), 1701–1722. https://doi.org/10.1111/j.1365-2699.2007.01732.x
Santos, J. P., Santos, D., Victor, A. E., Freitas, L., Spalding Brown, K., Yasmin, J., . . . Ribeiro, M. C.
(2018). Atlantic butterflies: A data set of fruit-feeding butterfly communities from the Atlantic forests.
Ecology , 99 (12), 2875. https://doi.org/10.1002/ecy.2507/suppinfo
Shirai, L. T., Machado, P. A., Mota, L. L., Rosa, A. H. B., & Freitas, A. V. L. (2019). DnB, the Database
of Nymphalids in Brazil, with a Checklist for Standardized Species Lists. The Journal of the Lepidopterists’
Society , 73 (2), 93. https://doi.org/10.18473/lepi.73i2.a4
Silva, S. M., Moraes-Barros, N., Ribas, C. C., Ferrand, N., & Morgante, J. S. (2012). Divide to conquer: A
complex pattern of biodiversity depicted by vertebrate components in the Brazilian Atlantic Forest: VER-
TEBRATE COMPONENTS IN THE BRAZILIAN ATLANTIC FOREST.Biological Journal of the Linnean
Society , 107 (1), 39–55. https://doi.org/10.1111/j.1095-8312.2012.01919.x
Silva-Brandao, K. L., Wahlberg, N., Francini, R. B., Azeredo-Espin, A. M. L., Brown, K. S., Paluch, M.,
Lees, D. C., & Freitas, A. V. L. (2008). Phylogenetic relationships of butterflies of the tribe Acraeini
(Lepidoptera, Nymphalidae, Heliconiinae) and the evolution of host plant use. Molecular Phylogenetics and
Evolution , 46 (2), 515–531. https://doi.org/10.1016/j.ympev.2007.11.024
Silveira, L., Olmos, F., & Long, A. (2003). Birds in Atlantic Forest fragments in north-east Brazil. Cotinga
, 20 , 32–46.
Sobral-Souza, T., & Lima-Ribeiro, M. S. (2017). De volta ao passado: revisitando a
historia biogeografica das florestas neotropicais umidas. Oecologia Australis , 21 (02), 93–107.
https://doi.org/10.4257/oeco.2017.2102.01
Sonne, J., Dalsgaard, B., Borregaard, M. K., Kennedy, J., Fjeldsa, J., & Rahbek, C. (2022). Biodiversity
cradles and museums segregating within hotspots of endemism. Proceedings of the Royal Society B: Biological
Sciences , 289 (1981), 20221102. https://doi.org/10.1098/rspb.2022.1102
Title, P. O., Swiderski, D. L., & Zelditch, M. L. (2022). EcoPhyloMapper: An r package for integrating
geographical ranges, phylogeny and morphology. Methods in Ecology and Evolution ,13 (9), 1912–1922.
15
Posted on 15 Sep 2025 — The copyright holder is the author/funder. All rights reserved. No reuse without permission. — https://doi.org/10.22541/au.175795178.89475040/v1 — This is a preprint and has not been peer-reviewed. Data may be preliminary.
https://doi.org/10.1111/2041-210X.13914
Topel, M., Zizka, A., Calio, M. F., Scharn, R., Silvestro, D., & Antonelli, A. (2016). SpeciesGeoCoder: Fast
Categorization of Species Occurrences for Analyses of Biodiversity, Biogeography, Ecology, and Evolution.
Systematic Biology , 66 , syw064. https://doi.org/10.1093/sysbio/syw064
Trujillo-Arias, N., Calderon, L., Santos, F. R., Miyaki, C. Y., Aleixo, A., Witt, C. C., Tubaro, P. L., &
Cabanne, G. S. (2018). Forest corridors between the central Andes and the southern Atlantic Forest enabled
dispersal and peripatric diversification without niche divergence in a passerine. Molecular Phylogenetics and
Evolution ,128 , 221–232. https://doi.org/10.1016/j.ympev.2018.08.005
Trujillo-Arias, N., Rodriguez-Cajarville, M. J., Sari, E., Miyaki, C. Y., Santos, F. R., Witt, . . . Cabanne,
G. S. (2020). Evolution between forest macrorefugia is linked to discordance between genetic and mor-
phological variation in Neotropical passerines. Molecular Phylogenetics and Evolution , 149 , 106849.
https://doi.org/10.1016/j.ympev.2020.106849
Vallejos-Garrido, P., Pino, K., Espinoza-Aravena, N., Pari, A., Inostroza-Michael, O., Toledo-Munoz, M., . . .
Rodriguez-Serrano, E. (2023). The importance of the Andes in the evolutionary radiation of Sigmodontinae
(Rodentia, Cricetidae), the most diverse group of mammals in the Neotropics. Scientific Reports , 13 (1),
2207. https://doi.org/10.1038/s41598-023-28497-0
Vancine, M. H., Muylaert, R. L., Niebuhr, B. B., Oshima, J. E. de F., Tonetti, V., Bernardo, . . . Ribeiro, M.
C. (2024). The Atlantic Forest of South America: Spatiotemporal dynamics of the vegetation and implica-
tions for conservation. Biological Conservation ,291 , 110499. https://doi.org/10.1016/j.biocon.2024.110499
Velazco, P. M., & Patterson, B. D. (2013). Diversification of the Yellow-shouldered bats, Genus Sturnira
(Chiroptera, Phyllostomidae), in the New World tropics. Molecular Phylogenetics and Evolution ,68 (3),
683–698. https://doi.org/10.1016/j.ympev.2013.04.016
Wahlberg, N., & Wheat, C. W. (2008). Genomic Outposts Serve the Phylogenomic Pioneers: Designing
Novel Nuclear Markers for Genomic DNA Extractions of Lepidoptera. Systematic Biology , 57 (2), 231–242.
https://doi.org/10.1080/10635150802033006
Wallace, Alfred Russel. (1878). Tropical nature, and other essays . London, Macmillan and co, 1878.
https://www.biodiversitylibrary.org/item/16104
Werneck, F. P. (2011). The diversification of eastern South American open vegetation biomes:
Historical biogeography and perspectives. Quaternary Science Reviews , 30 (13–14), 1630–1648.
https://doi.org/10.1016/j.quascirev.2011.03.009
Wickham H (2016). ggplot2: Elegant Graphics for Data Analysis . Springer-Verlag New York. ISBN
978-3-319-24277-4, https://ggplot2.tidyverse.org
Yan, Z.-T., Fan, Z.-H., He, S.-L., Wang, X.-Q., Chen, B., & Luo, S.-T. (2023). Mitogenomes of
Eight Nymphalidae Butterfly Species and Reconstructed Phylogeny of Nymphalidae (Nymphalidae: Lepi-
doptera).Genes , 14 (5). https://doi.org/10.3390/genes14051018
Yang, M., & Zhang, Y. (2015). Molecular phylogeny of the butterfly tribe Satyrini (Nymphalidae: Satyrinae)
with emphasis on the utility of ribosomal mitochondrial genes 16s rDNA and nuclear 28s rDNA. Zootaxa ,
3985 (1), 125. https://doi.org/10.11646/zootaxa.3985.1.7
Yang, Z. (2007). PAML 4: Phylogenetic analysis by maximum likelihood. Molecular Biology and Evolution ,
24 (8), 1586–1591. https://doi.org/10.1093/molbev/msm088
Data Accessibility Statement
The raw data sequences generated in this study are available in NCBI assigned to the Bio-
Project PRJNA1297423. Alignments, selected partitions, tree files and R scripts used for the
16
Posted on 15 Sep 2025 — The copyright holder is the author/funder. All rights reserved. No reuse without permission. — https://doi.org/10.22541/au.175795178.89475040/v1 — This is a preprint and has not been peer-reviewed. Data may be preliminary.
biogeographical analyses and plots, are available in Dryad (temporary link before publication:
http://datadryad.org/share/t50cO4uD14GiJzxBQSKO6T1YvaBVWinmjD0syaC00Qw).
Tables
TABLE 1. Number of species per clade used for phylogenetic inference and biogeographical and diversi-
fication analyses. Nine clades were extracted for phylogenetic inference and calibration. The nine clades
were then subdivided into fourteen subclades for biogeographical and diversification analyses, in order to
minimise the number of species outside the Neotropics.
(phylogenetic inference)
& Species from Chazot et al. (2021) Species from Kawahara et al. (2023) Species from this
study Subclades for Biogeographical Analyses Species number (Biogeographical analyses) Danainae
436 376 60 0 Ithomiini 331 Heliconiinae 192 148 42 2 Actinote 37 Heliconiini 69 Limetidinae 107 88 19
0 Adelpha 67 Biblidini 210 154 42 14 Biblidini 170 Cyrestinae & Nymphalinae 447 380 67 0 Hypanartia 9
Marpesia 13 Melitaeini 174 Charaxinae 265 228 29 8 Memphis 54 Prepona 23 Satyrinae subclade
242 173 59 10 Haeterini 17 Morphini & Brassolini 108 Euptychiina (Satyrini, Satyrinae) 320 201 89 30
Euptychiina subclade 194 Pronophilina (Satyrini, Satyrinae) 136 93 39 4 Pronophilina 111 TOTAL 2355
1841 446 68 1377
Figures
FIGURE 1. Nymphalidae interchange (dispersal events) across Neotropical regions. The analyses are based
on 1377 Nymphalidae species (see Material and Methods). (a) Map of Neotropical biogeographic regions
considered in this study following Morrone (2014), together with the species number per area included in our
biogeographical analyses. Letters correspond to: F = Northern Atlantic Forest; S = southern Atlantic Forest;
D = Diagonal of open vegetation formations; Z = Amazonia; C = Mesoamerica + NW slopes of Andes; N =
Northern Andes; A = Central Andes. (b) Nymphalidae dispersal events from the Biogeographical Stochastic
Mapping results. Arrows indicate the direction and number of events; line thickness is proportional to the
number of events, with a minimum of 30. (c) Proportion of within-speciation and immigration events among
17
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regions. Proportions were estimated by dividing the number of immigration events (sum of dispersal events
into each region) by the number of extant species included in the analysis per region. Within-speciation
events were calculated as the rest of the extant number of species minus the immigration events.
FIGURE 2. Dispersal rates through time to the Atlantic Forest overall (A) and (B) from different Neotrop-
ical regions. Andes = red; Amazonia = blue; Diagonal of open formations = dark yellow; Mesoamerica and
NW slopes of Andes = light sand-coloured. Continuous lines are the median values, and coloured ribbons
are the lower and upper quantiles (0.40 and 0.60). Abbreviations: Eoc: Eocene, Plio: Pliocene, Plei: Pleis-
tocene, Mya: million years ago. The plots were generated with R (https://cran.r-project.org/) and edited
with Inkscape (https://inkscape.org).
18
Posted on 15 Sep 2025 — The copyright holder is the author/funder. All rights reserved. No reuse without permission. — https://doi.org/10.22541/au.175795178.89475040/v1 — This is a preprint and has not been peer-reviewed. Data may be preliminary.
FIGURE 3. Diversification rates from ClaDS results for the entire Atlantic Forest (green), Southern
Atlantic Forest (orange) and northern Atlantic Forest (blue). Continuous lines are the median values, and
coloured ribbons are the lower and upper quantiles (0.40 and 0.60). Abbreviations: Plio: Pliocene, Plei:
Pleistocene, Mya: million years ago. The plots were generated with R (https://cran.r-project.org/) and
edited with Inkscape (https://inkscape.org).
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