No description available.

Mechanisms for the generation of biodiversity in species-rich biomes such as rain forests remain unclear. Molecular phylogenies using DNA sequence data, calibrated with a temporal dimension offer a means of addressing this question, enabling the testing of different hypotheses on biogeographic histories and causes of diversification. Manilkara is a genus of trees in the Sapotaceae consisting of ~79 species distributed throughout the tropics (30 South and Central American, 35 African and 14 Southeast Asian). This species diversity in all major tropical regions of the globe makes it an ideal candidate for in-depth biogeographic studies. Maximum parsimony and Bayesian analyses of nuclear (ITS) and chloroplast (rpl32-trnL, rps16-trnK and trnS-trnFM) sequences were used to reconstruct a species level phylogeny of Manilkara and related genera in the tribe Mimusopeae. Manilkara, as currently defined, is not monophyletic due to the placement of three Asian taxa (M. fasciculata, M. dissecta and M. udoido), which are more closely related to the Madagascan genera Labourdonnaisia and Faucherea than to Manilkara s.s. and need to be re-circumscribed in a new genus. Letestua is nested in Manilkara and the genera Faucherea and Labourdonnaisia are not monophyletic. Nuclear and chloroplast datasets were mostly congruent, however, three instances of hard incongruence were demonstrated, suggesting chloroplast capture events. Bayesian analyses of ITS sequences using a relaxed molecular clock calibrated with fossils, focused on testing biogeographical hypotheses on the origin of Manilkara’s pantropical disjunct distribution and spatio-temporal diversification patterns on each continent. Mimusopeae, originated during the Eocene ~46-57 Ma and fossil evidence supports its existence in the boreotopical region of the northern hemisphere during this time. This suggests that the tribe may have evolved there and found refuge in Africa when Oligocene climatic cooling made higher latitudes uninhabitable for megathermal taxa. The subtribe Manilkarinae was resolved as ~42-36 Myo. These ages fall on the Eocene-Oligocene boundary and the crown node age coincides with the onset of Oligocene cooling and the closing of the boreotropical route. The genus Manilkara is estimated to have evolved ~36-33 Ma. The current distribution of the genus could not, therefore, have been the result of Gondwanan vicariance or migration through the boreotropics, but results instead support long distance dispersal as an important factor influencing the distribution of the group. Resolution along the backbone of the phylogeny is weak and the area of origin is, therefore, difficult to determine. However, all sister taxa to Manilkara are African and this suggests that the most likely explanation is an African origin for the genus with subsequent inter-continental dispersal during the Miocene. Manilkara spread from Africa to the Neotropics and Asia via at least three separate long distance dispersal events. A single lineage dispersed to the Neotropics ~27-21 Ma and spread across the Isthmus of Panama before its closure. Another lineage dispersed to Southeast Asia ~30-25 Ma from mainland Africa and subsequently diversified throughout the region. A third dispersal from Madagascar to the Sahul Shelf, occurred ~31-16 Ma in the M. fasciculata/dissecta/udoido lineage. In South America, diversification is consistent with both aridification and the rearrangement of drainage patterns in the Amazon basin as a result of Andean orogeny. The Atlantic coastal forest clade and the Amazonian clade of Manilkara split from one another ~14 Ma, at approximately the same time as the dry biomes of the Cerrado and Caatinga were forming between them. In Africa diversification coincides with Tertiary cycles of aridification and uplift of the east African plateaux. In Southeast Asia Wallace’s Line did not affect the dispersal of Manilkara. Instead, the limiting factor was the appearance of land in New Guinea ~10 Ma, which coincides with the dispersal and establishment of new taxa east of Wallace’s Line. Spatio-temporal patterns of diversification in Manilkara were compared to those of 34 other wet tropical genera which have intercontinental disjunctions. Ages of disjunctions ranged from the Eocene to the Pliocene, indicating that compilation of the tropical rain forest biome is a dynamic process which has been occurring throughout the Tertiary. Recent migration via long distance dispersal is a significant phenomenon in biome construction. Geo-climatic events have also been shown to be important drivers of diversification in all continental regions.

Mainly because of the problems with species delineation, the biogeography of microscopic organisms is notoriously difficult to elucidate. In this contribution, variable nuclear and mitochondrial DNA markers were sequenced from individual specimens representing the Echiniscus virginicus complex that are morphologically indistinguishable under light microscopy (five populations from the temperate Eastern Nearctic and 13 populations from the subtropical and tropical zone). A range of methods was used to dissect components of variability within the complex (Bayesian inference, haplotype networks, Poisson tree processes, automatic barcode gap discovery delineations, principal components analysis and ANOVA). We found deep divergence between the temperate Eastern Nearctic E. virginicus and pantropical Echiniscus lineatus in all three genetic markers. In contrast, intraspecific genetic variation was very low, regardless of the geographical distance between the populations. Moreover, for the first time, statistical predictions of tardigrade geographical distributions were modelled. The factor determining the allopatric geographical ranges of deceptively similar species analysed in this study is most likely to be the type of climate. Our study shows that widespread tardigrade species exist, and both geographical distribution modelling and the genetic structure of populations of the pantropical E. lineatus suggest wind-mediated (aeolian) passive long-distance dispersal.

Bauhinia s.l. est le plus vaste genre de la tribu des Cercideae (Ceasalpinioideae, Leguminoseae), avec plus de 300 espèces. Il présente une distribution pantropicale et une grande variabilité morphologique. Ces deux caractéristiques ont limité les études taxonomiques sur le genre complet, résultant en plusieurs études taxonomiques de certains groupes seulement. En 1987, Wunderlin et al. proposent une vaste révision taxonomique de la tribu des Cercideae, basée sur des données morphologiques, et divisent le genre Bauhinia en quatre sous-genres. En 2005, Lewis et Forest publient une nouvelle classification préliminaire basée sur des données moléculaires, mais sur un échantillonnage taxonomique restreint. Leurs conclusions remettent en question le monophylétisme du genre Bauhinia et suggèrent plutôt la reconnaissance de huit genres au sein du grade Bauhinia s.l. Afin de vérifier les hypothèses de Lewis et Forest, et obtenir une vision plus claire de l’histroire de Bauhinia s.l., nous avons séquencé deux régions chloroplastiques (trnL-trnF et matK-trnK) et deux régions nucléaires (Leafy et Legcyc) pour un vaste échantillonnage représentatif des Cercideae. Une première phylogénie de la tribu a tout d’abord été réalisée à partir des séquences de trnL-trnF seulement et a confirmé le non-monoplylétisme de Bauhinia s.l., avec l’inclusion du genre Brenierea, traditionnellement reconnu comme genre frère de Bauhinia s.l. Afin de ne pas limiter notre vision de l’histoire évolutive des Cercideae à un seul type de données moléculaires et à une seule région, une nouvelle série d’analyse a été effectuée, incluant toutes les séquences chloroplastiques et nucléaires. Une phylogénie individuelle a été reconstruite pour chacune des régions du génome, et un arbre d’espèce ainsi qu’un arbre de supermatrice ont été reconstruits. Bien que certaines contradictions apparaissent entre les phylogénies, les grandes lignes de l’histoire des Cercideae ont été résolues. Bauhinia s.l. est divisée en deux lignées : les groupes Phanera et Bauhinia. Le groupe Bauhinia est constitué des genres Bauhinia s.s., Piliostigma et Brenierea. Le groupe Phanera est constitué des genres Gigasiphon, Tylosema, Lysiphyllum, Barklya, Phanera et Schnella. Les genres Cercis, Adenolobus et Griffonia sont les groupes-frères du clade Bauhinia s.l. Au minimum un événement de duplication de Legcyc a été mis en évidence pour la totalité de la tribu des Cercideae, excepté Cercis, mais plusieurs évènements sont suggérés à la fois par Legcyc et Leafy. Finalement, la datation et la reconstruction des aires ancestrales de la tribu ont été effectuées. La tribu est datée de 49,7 Ma et est originaire des régions tempérées de l’hémisphère nord, probablement autour de la mer de Thétys. La tribu s’est ensuite dispersée vers les régions tropicales sèches de l’Afrique, où la séparation des groupes Bauhinia et Phanera a eu lieu. Ces deux groupes se sont ensuite dispersés en parallèle vers l’Asie du sud-est au début du Miocène. À la même période, une dispersion depuis l’Afrique de Bauhinia s.s. a permis la diversification des espèces américaines de ce genre, alors que le genre Schnella (seul genre américain du groupe Phanera) est passé par l’Australie afin de rejoindre le continent américain. Cette dispersion vers l’Australie sera également à l’origine des genres Lysiphyllum et Barklya / Bauhinia s.l. is the largest genus of the tribe Cercideae (Ceasalpinioideae, Leguminoseae), with over 300 species. It has a pantropical distribution and high morphological variability. These two features have resulted in few studies that focus on the entire genus, resulting in several regional studies or studies of certain subgroups only. In 1987, Wunderlin et al. presented a broad taxonomic revision of the tribe Cercideae, based on morphological data, and divided the genus Bauhinia into four subgenera. In 2005, Lewis and Forest published a new preliminary classification based on molecular data, but for a limited taxonomic sampling. Their findings question the monophyly of the genus Bauhinia and suggest instead the recognition of eight genera in the Bauhinia s.l. grade. To test the hypotheses of Lewis and Forest, and to obtain a clearer view of the history of Bauhinia s.l., we sequenced two chloroplast regions (trnL-trnF and matK-trnK) and two nuclear regions (Leafy and Legcyc) for a large representative sampling of the Cercideae. A primary phylogeny of the tribe was first generated based on trnL-trnF sequences only and confirmed the non-monophyly of Bauhinia s.l., with the inclusion of the genus Brenierea, traditionally recognized as sister group of Bauhinia s.l. In order to obtain a deaper view of the evolutionary history of the Cercideae, a new series of analysis was performed, including all nuclear and chloroplast sequences. Individual phylogenies were reconstructed for each region of the genome, and both a species and a supermatrix trees were reconstructed. Although certain conflicting relationships appear between phylogenies, the outline of the history of the Cercideae has been resolved. Bauhinia s.l. is divided into two lineages: Phanera and Bauhinia groups. The Bauhinia group includes Bauhinia s.s., Piliostigma and Brenierea. The Phanera group is composed of Gigasiphon, Tylosema, Lysiphyllum, Barklya, Phanera and Schnella. Cercis, Griffonia and Adenolobus are sister groups of Bauhinia s.l. At least one duplication event of Legcyc has been highlighted for the entire tribe Cercideae, excluding Cercis. Several other duplication events are also suggested by both Legcyc and Leafy . Finally, a divergence time analysis and a reconstruction of ancestral areas were conducted. The root of the tribe is evaluated to be 49.7 Mya old, and to originate from temperate regions in the northern hemisphere, mostly around the Tethys Sea. The tribe then dispersed into drier biomes in Africa, where the separation of the Bauhinia and the Phanera groups occurred. These two lineages then dispersed following parallel routes to Southeast Asia in the early Miocene. At the same time, a dispersal of the African Bauhinia s.s. to South America permitted the diversification of the American species of this genus, and Schnella (the only American genus within the Phanera group) dispersed to the American continent from Australia. This dispersal to Australia is also at the origin of Lysiphyllum and Barklya.

Tropical forests store more than half of the world’s forest carbon and are particularly threatened by deforestation and degradation processes, which together represent the second largest source of anthropogenic CO2 emissions. Consequently, tropical forests are the focus of international climate policies (i.e. Reducing emissions from deforestation and forest degradation, REDD) aiming at reducing forest-related CO2 emissions. The REDD initiative lies on our ability to map forest carbon stocks (i.e. spatial dynamics) and to detect deforestation and degradations (i.e. temporal dynamics) at large spatial scales (e.g. national, forested basin), with accuracy and precision. Remote-sensing is as a key tool for this purpose, but numerous sources of error along the carbon mapping chain makes meeting REDD criteria an outstanding challenge. In the present thesis, we assessed carbon (quantified through aboveground biomass, AGB) estimation error at the tree- and plot-level using a widely used pantropical AGB model, and at the landscape-level using a remote sensing method based on canopy texture features from very high resolution (VHR) optical data. Our objective was to better understand and reduce AGB estimation error at each level using information on large canopy tree structure, distribution and spatial organization. Although large trees disproportionally contributed to forest carbon stock, they are under-represented in destructive datasets and subject to an under-estimation bias with the pantropical AGB model. We destructively sampled 77 very large tropical trees and assembled a large (pantropical) dataset to study how variation in tree form (through crown sizes and crown mass ratio) contributed to this error pattern. We showed that the source of bias in the pantropical model was a systematic increase in the proportion of tree mass allocated to the crown in canopy trees. An alternative AGB model accounting for this phenomenon was proposed. We also propagated the AGB model bias at the plot-level and showed that the interaction between forest structure and model bias, although often overlooked, might in fact be substantial. We further analyzed the structural properties of crown branching networks in light of the assumptions and predictions of the Metabolic Theory of Ecology, which supports the power-form of the pantropical AGB model. Important deviations were observed, notably from Leonardo’s rule (i.e. the principle of area conservation), which, all else being equal, could support the higher proportion of mass in large tree crowns. A second part of the thesis dealt with the extrapolation of field-plot AGB via canopy texture features of VHR optical data. A major barrier for the development of a broad-scale forest carbon monitoring method based on canopy texture is that relationships between canopy texture and stand structure parameters (including AGB) vary among forest types and regions of the world. We investigated this discrepancy using a simulation approach: virtual canopy scenes were generated for 279 1-ha plots distributed on contrasted forest types across the tropics. We showed that complementing FOTO texture with additional descriptors of forest structure, notably on canopy openness (from a lacunarity analysis) and tree slenderness (from a bioclimatic proxy) allows developing a stable inversion frame for forest AGB at large scale. Although the approach we proposed requires further empirical validation, a first case study on a forests mosaic in the Congo basin gave promising results. Overall, this work increased our understanding of mechanisms behind AGB estimation errors at the tree-, plot- and landscape-level. It stresses the need to better account for variation patterns in tree structure (e.g. ontogenetic pattern of carbon allocation) and forest structural organization (across forest types, under different environmental conditions) to improve general AGB models, and in fine our ability to accurately map forest AGB at large scale.