Phylogeny and biogeography of Tiliacoreae (Menispermaceae), a tribe restricted to tropical rainforests

BACKGROUND AND AIMS

Modern tropical rainforests house the highest biodiversity of Earth's terrestrial biomes and are distributed in three low-latitude areas. However, the biogeographical patterns and processes underlying the distribution of biodiversity among these three areas are still poorly known. Here, we used Tiliacoreae, a tribe of pantropical lianas with a high level of regional endemism, to provide new insights into the biogeographical relationships of tropical rainforests among different continents.

METHODS

Based on seven plastid and two nuclear DNA regions, we reconstructed a phylogeny for Tiliacoreae with the most comprehensive sampling ever. Within the phylogenetic framework, we then estimated divergence times and investigated the spatiotemporal evolution of the tribe.

KEY RESULTS

The monophyletic Tiliacoreae contain three major clades, which correspond to Neotropical, Afrotropical and Indo-Malesian/Australasian areas, respectively. Both Albertisia and Anisocycla are not monophyletic. The most recent common ancestor of Tiliacoreae occurred in Indo-Malesia, the Afrotropics and Neotropics in the early Eocene, then rapidly diverged into three major clades between 48 and 46 Ma. Three dispersals from Indo-Malesia to Australasia were inferred, one in the middle Eocene and two in the late Oligocene-late Miocene, and two dispersals from the Afrotropics to Indo-Malesia occurred in the late Eocene-Oligocene.

CONCLUSIONS

The three main clades of Anisocycla correspond to three distinct genera [i.e. Anisocycla sensu stricto and two new genera (Georgesia and Macrophragma)]. Epinetrum is a member of Albertisia. Our findings highlight that sea-level fluctuations and climate changes in the Cenozoic have played important roles in shaping the current distribution and endemism of Tiliacoreae, hence contributing to the knowledge on the historical biogeography of tropical rainforests on a global scale.

Does economic optimisation explain LAI and leaf trait distributions across an Amazon soil moisture gradient?

Leaf area index (LAI) underpins terrestrial ecosystem functioning, yet our ability to predict LAI remains limited. Across Amazon forests, mean LAI, LAI seasonal dynamics and leaf traits vary with soil moisture stress. We hypothesise that LAI variation can be predicted via an optimality-based approach, using net canopy C export (NCE, photosynthesis minus the C cost of leaf growth and maintenance) as a fitness proxy. We applied a process-based terrestrial ecosystem model to seven plots across a moisture stress gradient with detailed in situ measurements, to determine nominal plant C budgets. For each plot, we then compared observations and simulations of the nominal (i.e. observed) C budget to simulations of alternative, experimental budgets. Experimental budgets were generated by forcing the model with synthetic LAI timeseries (across a range of mean LAI and LAI seasonality) and different leaf trait combinations (leaf mass per unit area, lifespan, photosynthetic capacity and respiration rate) operating along the leaf economic spectrum. Observed mean LAI and LAI seasonality across the soil moisture stress gradient maximised NCE, and were therefore consistent with optimality-based predictions. Yet, the predictive power of an optimality-based approach was limited due to the asymptotic response of simulated NCE to mean LAI and LAI seasonality. Leaf traits fundamentally shaped the C budget, determining simulated optimal LAI and total NCE. Long-lived leaves with lower maximum photosynthetic capacity maximised simulated NCE under aseasonal high mean LAI, with the reverse found for short-lived leaves and higher maximum photosynthetic capacity. The simulated leaf trait LAI trade-offs were consistent with observed distributions. We suggest that a range of LAI strategies could be equally economically viable at local level, though we note several ecological limitations to this interpretation (e.g. between-plant competition). In addition, we show how leaf trait trade-offs enable divergence in canopy strategies. Our results also allow an assessment of the usefulness of optimality-based approaches in simulating primary tropical forest functioning, evaluated against in situ data.

Drought stress and tree size determine stem CO2 efflux in a tropical forest

CO₂ efflux from stems (CO_{2_stem} ) accounts for a substantial fraction of tropical forest gross primary productivity, but the climate sensitivity of this flux remains poorly understood. We present a study of tropical forest CO_{2_stem} from 215 trees across wet and dry seasons, at the world's longest running tropical forest drought experiment site. We show a 27% increase in wet season CO_{2_stem} in the droughted forest relative to a control forest. This was driven by increasing CO_{2_stem} in trees 10-40 cm diameter. Furthermore, we show that drought increases the proportion of maintenance to growth respiration in trees > 20 cm diameter, including large increases in maintenance respiration in the largest droughted trees, > 40 cm diameter. However, we found no clear taxonomic influence on CO_{2_stem} and were unable to accurately predict how drought sensitivity altered ecosystem scale CO_{2_stem} , due to substantial uncertainty introduced by contrasting methods previously employed to scale CO_{2_stem} fluxes. Our findings indicate that under future scenarios of elevated drought, increases in CO_{2_stem} may augment carbon losses, weakening or potentially reversing the tropical forest carbon sink. However, due to substantial uncertainties in scaling CO_{2_stem} fluxes, stand-scale future estimates of changes in stem CO₂ emissions remain highly uncertain.

The dynamics of ant mosaics in tropical rainforests characterized using the Self-Organizing Map algorithm

Ants, the most abundant taxa among canopy-dwelling animals in tropical rainforests, are mostly represented by territorially dominant arboreal ants (TDAs) whose territories are distributed in a mosaic pattern (arboreal ant mosaics). Large TDA colonies regulate insect herbivores, with implications for forestry and agronomy. What generates these mosaics in vegetal formations, which are dynamic, still needs to be better understood. So, from empirical research based on 3 Cameroonian tree species (Lophira alata, Ochnaceae; Anthocleista vogelii, Gentianaceae; and Barteria fistulosa, Passifloraceae), we used the Self-Organizing Map (SOM, neural network) to illustrate the succession of TDAs as their host trees grow and age. The SOM separated the trees by species and by size for L. alata, which can reach 60 m in height and live several centuries. An ontogenic succession of TDAs from sapling to mature trees is shown, and some ecological traits are highlighted for certain TDAs. Also, because the SOM permits the analysis of data with many zeroes with no effect of outliers on the overall scatterplot distributions, we obtained ecological information on rare species. Finally, the SOM permitted us to show that functional groups cannot be selected at the genus level as congeneric species can have very different ecological niches, something particularly true for Crematogaster spp., which include a species specifically associated with B. fistulosa, nondominant species and TDAs. Therefore, the SOM permitted the complex relationships between TDAs and their growing host trees to be analyzed, while also providing new information on the ecological traits of the ant species involved.

The contribution of seed dispersers to tree species diversity in tropical rainforests

Tropical rainforests are known for their extreme biodiversity, posing a challenging problem in tropical ecology. Many hypotheses have been proposed to explain the diversity of tree species, yet our understanding of this phenomenon remains incomplete. Here, we consider the contribution of animal seed dispersers to the species diversity of trees. We built a multi-layer lattice model of trees whose animal seed dispersers are allowed to move only in restricted areas to disperse the tree seeds. We incorporated the effects of seed dispersers in the traditional theory of allopatric speciation on a geological time scale. We modified the lattice model to explicitly examine the coexistence of new tree species and the resulting high biodiversity. The results indicate that both the coexistence and diversified evolution of tree species can be explained by the introduction of animal seed dispersers.

Isolation of nuclear microsatellites in the African timber tree Lophira alata (Ochnaceae) and cross-amplification in L. lanceolata

PREMISE OF THE STUDY

Microsatellite markers were isolated in the rainforest tree Lophira alata (Ochnaceae), an important timber tree from Central Africa, and cross-amplified on its savannah counterpart, L. lanceolata.

METHODS AND RESULTS

From a microsatellite-enriched library sequenced on a 454 GS FLX platform, 13 primer combinations were identified. Amplification was optimized in two multiplex reactions. The primers amplified di- and trinucelotide repeats, with two to seven alleles per locus. Eleven primers also amplified in L. lanceolata.

CONCLUSIONS

Microsatellite primers developed for the genus Lophira displayed sufficient variation to investigate hybridization between congeneric species in the rainforest-savannah transition.