Abstract:The post-Miocene climatic histories of arid environments have been identified as key drivers of dispersal and diversification. Here, we investigate how climatic history correlates with the historical biogeography of the Atacama Desert genus Cristaria (Malvaceae).We analyze phylogenetic relationships and historical biogeography by using nextgeneration sequencing (NGS), molecular clock dating, Dispersal Extinction Cladogenesis and Bayesian sampling approaches. We employ a novel way to identify biogeographically … Show more
“…More recently, a study of Schwarzer et al (2010) indicated that elements of typical loma vegetation and even presumed loma endemics may be found in certain habitats along the southern Peruvian precordillera reaching elevations of up to 2,600 m asl. Ruhm et al (2020) demonstrated a relative floristic coherence along the precordillera from Chile to southern Peru, confirming the presence of a "floristic corridor" along the Andean precordillera of Peru and Chile as previously suggested (Moreno et al, 1994) and shown by phylogenetic studies (e.g., Luebert et al, 2009;Luebert and Weigend, 2014;Böhnert et al, 2022). This is in stark contrast to the "floristic break" between the loma floras of Peru and Chile, respectively, as previously hypothesized in floristic (Rundel et al, 1991;Galán de Mera et al, 1997;Pinto and Luebert, 2009;Manrique et al, 2014) and phylogenetic studies (Gengler-Nowak, 2002;Merklinger et al, 2021).…”
Section: Introductionsupporting
confidence: 87%
“…We would find this hypothesis supported, if habitat suitability models indicated a pronounced gap for loma vegetation (Rundel et al, 1991;Pinto and Luebert, 2009). Conversely, we propose that (3) the precordillera floras of Peru and Chile show a closer connectivity (Luebert et al, 2009;Böhnert et al, 2022). We here expect a gradual latitudinal floristic change-over in a continuous belt of suitable habitat.…”
In this study we aim at refining our understanding of the floristic connectivity of the loma- and precordillera floras of southern Peru and northern Chile and the parameters determining vegetation cover in this region. We used multivariate analyses to test for floristic- and environmental similarity across 53 precordillera and loma locations in Peru and Chile. We propose the use of predictive modeling in estimating the extent of desert vegetation as a complementary method to remote sensing. We created habitat suitability models for the vegetation on the coast and in the precordillera based on a combination of latent bioclimatic variables and additional environmental predictors using Maxent. We found Peruvian and Chilean lomas to be strongly floristically differentiated, as are the Chilean precordillera and lomas. Conversely, there is clear connectivity between both the Peruvian loma- and precordillera floras on the one hand and the Peruvian and Chilean precordillera floras on the other. Divergent environmental conditions were retrieved as separating the precordillera and lomas, while environmental conditions are not differentiated between Peruvian and Chilean lomas. Peruvian and Chilean precordilleras show a gradual change in environmental conditions. Habitat suitability models of vegetation cover retrieve a gap for the loma vegetation along the coast between Peru and Chile, while a continuous belt of suitable habitats is retrieved along the Andean precordillera. Unsuitable habitat for loma vegetation north and south of the Chilean and Peruvian border likely represents an ecogeographic barrier responsible for the floristic divergence of Chilean and Peruvian lomas. Conversely, environmental parameters change continuously along the precordilleras, explaining the moderate differentiation of the corresponding floras. Our results underscore the idea of the desert core acting as an ecogeographic barrier separating the coast from the precordillera in Chile, while it has a more limited isolating function in Peru. We also find extensive potentially suitable habitats for both loma- and precordillera vegetation so far undetected by methods of remote sensing.
“…More recently, a study of Schwarzer et al (2010) indicated that elements of typical loma vegetation and even presumed loma endemics may be found in certain habitats along the southern Peruvian precordillera reaching elevations of up to 2,600 m asl. Ruhm et al (2020) demonstrated a relative floristic coherence along the precordillera from Chile to southern Peru, confirming the presence of a "floristic corridor" along the Andean precordillera of Peru and Chile as previously suggested (Moreno et al, 1994) and shown by phylogenetic studies (e.g., Luebert et al, 2009;Luebert and Weigend, 2014;Böhnert et al, 2022). This is in stark contrast to the "floristic break" between the loma floras of Peru and Chile, respectively, as previously hypothesized in floristic (Rundel et al, 1991;Galán de Mera et al, 1997;Pinto and Luebert, 2009;Manrique et al, 2014) and phylogenetic studies (Gengler-Nowak, 2002;Merklinger et al, 2021).…”
Section: Introductionsupporting
confidence: 87%
“…We would find this hypothesis supported, if habitat suitability models indicated a pronounced gap for loma vegetation (Rundel et al, 1991;Pinto and Luebert, 2009). Conversely, we propose that (3) the precordillera floras of Peru and Chile show a closer connectivity (Luebert et al, 2009;Böhnert et al, 2022). We here expect a gradual latitudinal floristic change-over in a continuous belt of suitable habitat.…”
In this study we aim at refining our understanding of the floristic connectivity of the loma- and precordillera floras of southern Peru and northern Chile and the parameters determining vegetation cover in this region. We used multivariate analyses to test for floristic- and environmental similarity across 53 precordillera and loma locations in Peru and Chile. We propose the use of predictive modeling in estimating the extent of desert vegetation as a complementary method to remote sensing. We created habitat suitability models for the vegetation on the coast and in the precordillera based on a combination of latent bioclimatic variables and additional environmental predictors using Maxent. We found Peruvian and Chilean lomas to be strongly floristically differentiated, as are the Chilean precordillera and lomas. Conversely, there is clear connectivity between both the Peruvian loma- and precordillera floras on the one hand and the Peruvian and Chilean precordillera floras on the other. Divergent environmental conditions were retrieved as separating the precordillera and lomas, while environmental conditions are not differentiated between Peruvian and Chilean lomas. Peruvian and Chilean precordilleras show a gradual change in environmental conditions. Habitat suitability models of vegetation cover retrieve a gap for the loma vegetation along the coast between Peru and Chile, while a continuous belt of suitable habitats is retrieved along the Andean precordillera. Unsuitable habitat for loma vegetation north and south of the Chilean and Peruvian border likely represents an ecogeographic barrier responsible for the floristic divergence of Chilean and Peruvian lomas. Conversely, environmental parameters change continuously along the precordilleras, explaining the moderate differentiation of the corresponding floras. Our results underscore the idea of the desert core acting as an ecogeographic barrier separating the coast from the precordillera in Chile, while it has a more limited isolating function in Peru. We also find extensive potentially suitable habitats for both loma- and precordillera vegetation so far undetected by methods of remote sensing.
“…(2019). The restriction site‐associated DNA sequencing method provided a much higher degree of phylogenetic resolution, which is in line with an increasing number of systematic as well as taxonomic studies in recent years (e.g., Andrews & al., 2016; Merklinger & al., 2021; Yahara & al., 2021; Böhnert & al., 2022). This is the first study using a RADseq approach within Asparagaceae in a genus‐wide phylogenetic context and proves to be able to untangle the complex evolutionary processes of Mediterranean geophytes, which might be responsible for the cryptic taxonomic history of this group (Garbari & Greuter, 1970; Speta, 1982; Davis & Stuart, 1984; Grundmann & al., 2010).…”
The grape hyacinth (Muscari) represents an important ornamental plant group in Asparagaceae subfamily Scilloideae, comprising some 80 species distributed mainly in the Mediterranean. However, genus delimitation has repeatedly shifted over the past two centuries and a general consensus has not been reached so far. The present study investigates the phylogeny of Muscari s.l. (i.e., including the disputed segregates Pseudomuscari and Leopoldia) with a broad sampling of about half the currently recognized species using both chloroplast markers (trnK(matK)‐psbA, trnL‐trnF, rpl16) and genome‐wide single nucleotide polymorphism (SNP) data generated by double‐digest restriction site‐associated DNA sequencing (ddRAD). We perform concatenated maximum likelihood inference for both datasets as well as a coalescent‐based approach and principal component analysis (PCA) on the ddRAD data. We find that the morphological characters traditionally used to distinguish different genera are not diagnostic for the clades here retrieved. Also, the segregates Pseudomuscari and Leopoldia are deeply nested in Muscari and we therefore propose a broadly defined Muscari with five subgenera. The subgenera roughly correspond to previously recognized entities, with the exception of the newly identified clade here proposed as M. subg. Pulchella subg. nov. We provide a provisional assignment of the 80 currently accepted taxa to these subgenera.
“…Our approach shows that quantitative evaluation of nonsequenced specimens that were identified based on morphological characters and using existing prephylogenetic treatments can be successful in evaluating the status of so‐called nested singletons that were found in phylogenetic analyses. Such singletons are frequent in published molecular phylogenetic trees based on multiple sequence alignments of few to multiple loci (Bengtson et al, 2021 ; Lu‐Irving et al, 2021 ; García‐Moro et al, 2022 ) and as well in phylogenomic analyses using RAD (Böhnert et al, 2022 ) or hyb seq data (Jones et al, 2019 ; Xu & Chen, 2021 ). Under normal circumstances, one would target several specimens of a species complex to address species delimitation, then also ideally combining molecular, morphological, ecological, and distributional data in an integrative taxonomy approach.…”
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