Institute of Biology, Geobotany and Botanical Garden, Martin Luther University Halle-Wittenberg, Halle-Wittenberg, Germany Department of Agricultural, Food, Environmental and Animal Sciences, University of Udine, Udine, Italy V. N. Sukachev Institute of Forest, FRC KSC, Siberian Branch of the Russian Academy of Sciences, Krasnoyarsk, Russia Jones, H. G., & Sutherland, R. A. ( 1991). Stomatal control of xylem embolism. Plant, Cell & Environment, 14( 6), 607– 612. https://doi.org/10.1111/j.1365-3040.1991.tb01532.x

Pace International offers effective postharvest solutions that are both ecological and sustainable, advising its clients during the entire process and achieving clear results in terms of pathogen control while also requiring minimal resources and time. Tropical Forests and People Research Centre, University of the Sunshine Coast, Maroochydore, Queensland, Australia Meakem, V., Tepley, A. J., Gonzalez-Akre, E. B., Herrmann, V., Muller-Landau, H. C., Wright, S. J., … Anderson-Teixeira, K. J. ( 2017). Role of tree size in moist tropical forest carbon cycling and water deficit responses. New Phytologist, 219( 3), 947– 958. https://doi.org/10.1111/nph.14633 Meinzer, F. C., Andrade, J. L., Goldstein, G., Holbrook, N. M., Cavelier, J., & Wright, S. J. ( 1999). Partitioning of soil water among canopy trees in a seasonally dry tropical forest. Oecologia, 121( 3), 293– 301. https://doi.org/10.1007/s004420050931Centre for Environment and Life Sciences, CSIRO Land and Water, Floreat, Western Australia, Australia

Davison, A. C., & Hinkley, D. V. ( 1995). Bootstrap methods and their applications. Cambridge, UK: Cambridge University Press. Clark, D. B., Mercado, L. M., Sitch, S., Jones, C. D., Gedney, N., Best, M. J., … Cox, P. M. ( 2011). The Joint UK Land Environment Simulator (JULES), model description – Part 2: Carbon fluxes and vegetation. Geoscientific Model Development Discussions, 4( 1), 641– 688. https://doi.org/10.5194/gmdd-4-641-2011 It is for this reason that Pace International has developed solutions focused on controllingpathogens and avoiding fruit damage. The company's marketing director Jorge Gotuzzo said that products likeecoFOG offer effective, clean and sustainable solutions for postharvest management. Material and methods – Leaves of five shrub species were collected in 2019–2022 in Congolese old-growth forests (Yangambi Biosphere Reserve, DR Congo) from different positions on the shrub. These leaves were compared with herbarium specimens collected in the same area before 1960. For both periods, we assessed leaf size, specific leaf area, stomatal size, and stomatal density for all species.

Rowland, L., da Costa, A. C. L., Galbraith, D. R., Oliveira, R. S., Binks, O. J., … Meir, P.( 2015). Death from drought in tropical forests is triggered by hydraulics not carbon starvation. Nature, 528( 7580), 119– 122. https://doi.org/10.1038/nature15539 The representative went on to say that the thermofogging system uses a spray device that maintains an independent power supply so it can be operated without the need for additional connections. Patented PROCLEAN technology is also used to filter the air that is expelled after the ecoFOG is applied, offering a clean and eco-friendly operation. Stahl, C., Herault, B., Rossi, V., Burban, B., Brechet, C., & Bonal, D. ( 2013). Depth of soil water uptake by tropical rainforest trees during dry periods: Does tree dimension matter? Oecologia, 173( 4), 1191– 1201. https://doi.org/10.1007/s00442-013-2724-6 In 2018, Pace International, is offering the Chilean market the recently releasedeFOG 80 FCL(Fludioxonil), a thermoformable solution for pome fruit and kiwifruit which enables good management of resistance in the fruit by alternating annually betweenPirimetanil and Fludioxonil. It also provides a great alternative to processes which result in the fruit getting wet. Wagner, F. H., Anderson, L. O., Baker, T. R., Bowman, D. M., Cardoso, F. C., Chidumayo, E. N. ,. … … L. E. O. C. ( 2016). Climate seasonality limits leaf carbon assimilation and wood productivity in tropical forests. Biogeosciences, 13( 8), 2537– 2562. https://doi.org/10.5194/bg-13-2537-2016

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– nvironmental relationships. Previous experience in literature review (scientific articles reading, bibliographic search and monitoring, bibliographic synthesis) Fatichi, S., Leuzinger, S., & Körner, C. ( 2014). Moving beyond photosynthesis: From carbon source to sink-driven vegetation modeling. New Phytologist, 201( 4), 1086– 1095. https://doi.org/10.1111/nph.12614Variation in relative daily sapflux density for the 22 sampled individuals. For each tree, daily sapflux density ( D s, in kgdm −2day −1) is given relative to its maximum during the sampling period. See Table 1 for tree codes Scholz, F. G., Phillips, N. G., Bucci, S. J., Meinzer, F. C., & Goldstein, G. ( 2011). Hydraulic capacitance: Biophysics and functional significance of internal water sources in relation to tree size. In F. C. Meinzer, B. Lachenbruch, & T. E. Dawson (Eds.), Size- and age-related changes in tree structure and function (pp. 341– 361). Dordrecht, Netherlands: Springer. Retrieved from https://link.springer.com/chapter/10.1007/978-94-007-1242-3_13