This dataset contains the liana data, functional traits and vascular variants, used in the paper "Linking anatomical diversity with functional life strategies in a liana community of central Africa" in New Phytologist. The data is at the individual level of liana stems, collected in the North of the Republic of Congo, in Loundoungou. All stems have been collected at 1.3 meters from the last rooting point. For more information, please see the paper.

This dataset focuses on 28 threatened woody taxa endemic to the Mascarene Islands, including 10 taxa strictly endemic to Reunion. These taxa account for 53 % of all threatened shrubs and trees endemic to the archipelago and still occurring on Reunion Island. Thirteen threatened endemic tree taxa are categorised as critically endangered (CR), nine as endangered (EN) and six as vulnerable (VU). A total of 182 subpopulations were resurveyed in 109 sites. Each site hosted from one to six threatened endemic tree taxa. Historical records were botanical relevés dating from 1998 to 2018 with data on numbers of juvenile (in the broad sense, i.e., including juveniles in the strict sense, seedlings and saplings) and adult (i.e., mature) threatened endemic trees compiled in conservation master plans and national action plans. Each site was resurveyed in 2023-2024 and the current numbers of adult and juvenile threatened endemic trees were recorded in a circular area of 2,500 m² (radius of 28 m). At each site, we estimated the temporal trend of adult and juvenile threatened endemic trees as the difference between the current and the historical numbers of individuals divided by the number of years since the historical census to account for their different dates. A positive value indicates an increasing subpopulation size, zero indicates a stable subpopulation and a negative value indicates a decreasing subpopulation. A concentric quadrat of 100 m² was set up and the number of invasive alien plants in the upper vegetation layer, i.e., with a diameter at breast height (DBH) ≥ 1 cm, was counted. Five quadrats of 1 m² positioned at each corner of the 100 m² quadrat and in its centre were used to count the number of invasive alien plants with a DBH < 1 cm in the understory layer (including juveniles of woody invasive alien plants). For clonal plants, we enumerated the number of ramets. The abundance of IAPs with a DBH < 1 cm in the five quadrats of 1 m² was extrapolated to 100 m². The taxonomical referential of the vascular flora of Reunion was used to check the biogeographical and invasive status of each taxon. Three functional traits and the IUCN Red List category of extinction risk were assigned to each threatened endemic tree taxa. The three traits are those of the leaf–height–seed plant ecology strategy scheme: i) the mean SLA, i.e., the amount of light-capturing surface area that is deployed with a given investment of dry mass, which expresses the fundamental acquisition–conservation trade-off; ii) the maximum plant height, which reflects a trade-off for biophysical constraints in determining water fluxes within the plant and which is related to its competitive ability ; and iii) the mean seed mass, which reflects variation in dispersal capability and seedling survivorship. These traits were retrieved from the recently established TREFL database (Adrien et al., 2025). Seed mass was lacking for two threatened endemic tree taxa in the current version of the database. Seed mass of Dombeya blattiolens (Malvaceae) was considered the same as that of the closely-related D. ficulnea (3.2 mg). Seed mass of Pyrostria commersonii (Rubiaceae) was considered the same as that of P. bibracteata (39.2 mg), a congeneric taxon distributed across islands of the South-West Indian Ocean. SLA was missing for Hernandia mascarenensis. The annual rainfall and elevation of each site were also indicated.

Tropical moist forests are not the homogeneous green carpet often illustrated in maps or considered by global models. They harbour a complex mixture of forest types organised at different spatial scales. In this study we built a large-scale vegetation map of the North of Congo and assessed the environmental drivers of the main forest types, their forest structure, their floristic and functional compositions, and their faunistic composition. To build the map, we used Sentinel-2 satellite images and recent deep learning architectures. The dataset consist in a map of six vegetation types over 18 500 km² in the North of the Republic of Congo: dense forests, swamp forests, secondary forests, monodominant Gilbertiodendron forests, Marantaceae forests, open Marantaceae forests.

The dataset contains forest aboveground biomass prediction maps derived from field inventory plot and UAV or airborne LiDAR data over five sites in South Asia and eight sites in Central Africa, together with prediction uncertainty maps. Maps are provided at 100 x 100 m and 40 x 40 m spatial resolution. The dataset is associated to the following publication, where details on underlying data and map generation process can be found: Suraj R. Rodda et al., LiDAR-based reference aboveground biomass maps for tropical forests of South Asia and Central Africa. Submitted to Scientific Data.

The drivers underlying the development of deep root systems, whether genetic or environmental, are poorly understood but evidence has accumulated that deep rooting could be a more widespread and important trait among plants than commonly anticipated from their share of root biomass. Study data on the drought resistance of Teak in northern Laos over a 2-year period. Measurement of effects on above-ground parts and specific study of changes in deep rooting (12M) in response to the effect of rain exclusion. Monitoring of climate data Monitoring aboveground growth and functional traits Assessment of carbon stocks in coarse and fine roots Monitoring of root demography

The dataset contains forest aboveground biomass prediction maps derived from field inventory plot and UAV or airborne LiDAR data over five sites in South Asia, together with prediction uncertainty maps. Maps are provided at 100 x 100 m and 40 x 40 m spatial resolution. The dataset is associated to the following publication, where details on underlying data and map generation process can be found: Suraj R. Rodda et al., LiDAR-based reference aboveground biomass maps for tropical forests of South Asia and Central Africa. Submitted to Scientific Data.

Requêtes PostgreSQL développées dans le cadre du projet ECOSFIX pour créer la base de données et en extraire les échantillons, les mesures des rhizotrons, les sites, les caractéristiques de sols, les données météorologiques, les parcelles, les parcelles avec leurs sites et les fichiers textes tabulaires contenant les données associées. PostgreSQL queries developed as part of the ECOSFIX project to create the database and extract samples, rhizotron measurements, sites, soil characteristics, meteorological data, plots, plots with their sites and tabular text files containing the associated data.

This dataset includes 1,407 pairs of threatened native–invasive alien plants extracted from the IUCN Red List of Threatened Species (https://www.iucnredlist.org/). For each pair, the threat category of the threatened native species (NT, VU, EN, CR, EW, EX), its population trend (increasing, stable, decreasing, unknown), whether the native species is restricted to islands (yes, no, partially) and whether the native species has been classified as threatened based exclusively on IUCN-red-list criterion B (restricted geographic range size) are specified. The R code of the analyses performed in the paper is provided in a second file.

Requêtes PostgreSQL développées dans le cadre du projet STABILITY pour créer la base de données , extraire les types d'habitat, l'ensemble des localisations, aires, villes, continents, pays, districts, risques, sols, typologies racinaires, bibliographies, éco-ingéniérie, écologies, types d'habitat, morphologies, modes de reproduction, systèmes racinaires, familles, genres, espèces, espèces infra-spécifiques des végétaux, types biologiques, climats, contraintes, observations et les fichiers textes tabulaires contenant les données associées. PostgreSQL queries developed as part of the STABILITY project to create the database, extract habitat types, all locations, areas, cities, continents, countries, districts, risks, soils, root typologies, bibliographies , eco-engineering, ecologies, habitat types, morphologies, modes of reproduction, root systems, families, genera, species, infra-specific plant species, biological types, climates, constraints, observations and the tabular text files containing the data associated.

Requêtes SQL développées dans le cadre du projet ECOMED pour créer la base de données (PostgreSQL), extraire les écorégions, les types d'habitat, les végétaux utilisés en éco-ingéniérie et les fichiers textes tabulaires contenant les données extraites. SQL queries developed as part of the ECOMED project to create the database (PostgreSQL), extract ecoregions, habitat types, plants used in eco-engineering and tabular text files containing the extracted data.