Plant traits-the morphological, anatomical, physiological, biochemical and phenological characteristics of plants-determine how plants respond to environmental factors, affect other trophic levels, and influence ecosystem properties and their benefits and detriments to people. Plant trait data thus represent the basis for a vast area of research spanning from evolutionary biology, community and functional ecology, to biodiversity conservation, ecosystem and landscape management, restoration, biogeography and earth system modelling. Since its foundation in 2007, the TRY database of plant traits has grown continuously. It now provides unprecedented data coverage under an open access data policy and is the main plant trait database used by the research community worldwide. Increasingly, the TRY database also supports new frontiers of trait-based plant research, including the identification of data gaps and the subsequent mobilization or measurement of new data. To support this development, in this article we evaluate the extent of the trait data compiled in TRY and analyse emerging patterns of data coverage and representativeness. Best species coverage is achieved for categorical traits-almost complete coverage for 'plant growth form'. However, most traits relevant for ecology and vegetation modelling are characterized by continuous intraspecific variation and trait-environmental relationships. These traits have to be measured on individual plants in their respective environment. Despite unprecedented data coverage, we observe a humbling lack of completeness and representativeness of these continuous traits in many aspects.We, therefore, conclude that reducing data gaps and biases in the TRY database remains a key challenge and requires a coordinated approach to data mobilization and trait measurements. This can only be achieved in collaboration with other initiatives. Geosphere-Biosphere Program (IGBP) and DIVERSITAS, the TRY database (TRY-not an acronym, rather a statement of sentiment; https ://www.try-db.org; Kattge et al., 2011) was proposed with the explicit assignment to improve the availability and accessibility of plant trait data for ecology and earth system sciences. The Max Planck Institute for Biogeochemistry (MPI-BGC) offered to host the database and the different groups joined forces for this community-driven program. Two factors were key to the success of TRY: the support and trust of leaders in the field of functional plant ecology submitting large databases and the long-term funding by the Max Planck Society, the MPI-BGC and the German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, which has enabled the continuous development of the TRY database.

Indigenous Peoples and local communities (IPLC) are affected by global environmental change because they directly rely on their immediate environment for meeting basic livelihood needs. Therefore, safeguarding and restoring ecosystem resilience is critical to support their well‐being. Based on examples from the literature, we illustrate how IPLC participate in restoration activities maintaining traditional practices, restoring land degraded by outsiders, and joining outside groups seeking to restore ecosystems. Our review also provides examples of how Indigenous and Local Knowledge can be incorporated in the planning, execution, and monitoring of restoration activities. However, not all restoration initiatives engaging IPLC are beneficial or successful, and the factors that lead to success are not fully known. While local involvement in restoration projects is often mentioned as an element of success, this is primarily associated to projects that actively involve IPLC in codesigning restoration activities affecting their territories, ensure both short‐term direct benefits to IPLC and long‐term support of the maintenance of restored areas, and recognize IPLC local traditions and customary institutions. Based on these examples, we argue that IPLC should be a more important focus in any post‐2020 CBD agenda on restoration.