Summary1. Human disturbance of natural habitats has increasingly promoted hybridization between previously isolated species. Coffee trees (Coffea canephora, C. liberica and C. arabica) have been introduced into New Caledonia for cultivation since the 1850s. Many plantations have since been abandoned, leaving the cultivars to evolve in natural conditions. This historical situation and the local environmental conditions have led to gene flow between sympatric species and the creation of hybrid zones which can be considered as a natural laboratory for studying gene flow dynamics. Our objectives were to assess the nature of these hybridizations and to model the distribution of habitats favourable for these hybrid zones at a regional scale. 2. We analysed a tri-specific model population with 26 microsatellite markers using a multilocus analysis approach. We applied Bayesian methods to characterize the species identity of founder individuals and identify inter-specific hybrids. A high level of genetic diversity and inter-specific hybridization was observed in the population. To evaluate the presence of other favourable environments in the local area, a geographic information system was used to spatially differentiate the phenomenon and optimize future hybrid collecting missions. We constructed a predictive distribution model based on observation and environmental expertise (climatic parameters, physical parameters and landcover) at four reference sites of the hybrid zone. 3. At all four sites the Coffea species were found to be involved in inter-specific hybridization, with one population, in particular, revealing high genetic diversity. According to the environmental expertise, 40% of the studied region appeared to be favourable for this phenomenon and the model was validated with a prediction accuracy of 79%. 4. Synthesis and applications. The use of microsatellite markers was efficient for assessing the nature and extent of coffee tree hybridization events. The environmental expertise and model allowed comparisons between New Caledonia and Africa ecological niches. This methodology may be recommended for better management of de novo in situ coffee genetic resources and applied to other plants to provide insight into the impact of adaptation to new environment. Combining environmental and species biological parameters would help in analysing modifications in plant reproductive behaviour induced by global climate change.
Observer, comprendre et prévoir de manière intégrée l’historique, le fonctionnement et l’évolution du système Terre soumis aux changements globaux est un enjeu fondamental de recherche et une nécessité pour la mise en œuvre des objectifs du développement durable. Cela nécessite des infrastructures interopérables permettant d’accélérer l’extraction, l’analyse, la diffusion et l’usage intelligent des données, des indicateurs et des modèles issus des systèmes nationaux et internationaux d’observation. Destinés aux scientifiques, aux acteurs publics et à ceux de l’innovation, ces produits et services sont accessibles via des portails dédiés, contribuant aux missions spatiales, à celles des réseaux d’observation et venant en appui des politiques de développement durable. Coordonner, fédérer et optimiser l’ensemble des institutions, dispositifs et moyens existants constitue une des ambitions importantes de l’IR système Terre, qui a aussi une vocation européenne et internationale dans ce domaine.
The past few decades have seen a marked acceleration in the amount of marine observation data derived using both in situ and remote sensing measurements. For example, high-frequency monitoring of key physical-chemical parameters has become an essential tool for assessing natural and human-induced changes in coastal waters as well as their consequences on society. The number and variety of data acquisition techniques require efficient methods of improving data availability. The challenge is to make ocean data available via interoperable portals, which facilitate data sharing according to Findable, Accessible, Interoperable, and Reusable (FAIR) principles for producers and users. Ocean DAta Information and Services (ODATIS) aims to become a unique gateway to all French marine data, regardless of the discipline (e.g., physics, chemistry, biogeochemistry, biology, sedimentology). ODATIS is the ocean cluster of the Data Terra research infrastructure for Earth data, which relies on a network of data and service centers (DSC) supported by the major French oceanic research organizations (CNRS, CNES, Ifremer, IRD, SHOM; Marine Universities). ODATIS, through its components, is involved in European and international initiatives such as Copernicus, SeaDataCloud, and EMODnet. The first challenge of ODATIS is to catalog all open ocean and coastal data and facilitate data collection and access (discovery, visualization, extraction) through its web portal. A specific task is to develop tools for handling large amounts of data and generate products for policymakers, practitioners, and academics. This study presents the strategy used by ODATIS to implement the FAIR and CoreTrustSeal requirements in each of its DSCs and promote adherence within the scientific community (the main data producer) regarding the upload and/or use of data and suggestion of new products. A second challenge is to cover the end-user needs ranging from proximity to the producer to cross-analysis of data from all Earth compartments. This involves defining and organizing a classification of DSCs in the network, which will be developed within the framework of the French Data Terra research infrastructure, the only framework capable of providing the necessary IT and human resources.
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