Simulated tree recruitment at PA-BCI under four precipitation scenarios
- University of California Berkeley; Lawrence Berkeley National Lab
- Lawrence Berkeley National Laboratory
- Smithsonian Tropical Research Institute
Simulated recruitment rates are provided for four tropical tree plant functional types (PFTs) which vary in drought and shade tolerance, at Barro Colorado Island, Panama (PA-BCI). Recruitment rates are predicted using the Tree Recruitment Scheme (TRS; Hanbury-Brown et al., 2022) and model data output from the Ecosystem Demography model version 2 with hydrodynamics (ED2; Medvigy et al., 2009, Powell et al., 2018). Predictions of recruitment are provided under four precipitation scenarios: “BASE” = recycled 2008-2014 observed meteorology (Faybishenko & Paton, 2021), “SYN-ENSO” = two exceptionally strong El Niño events within 30 years (Powell et al., 2018), “WET” = 30% increase in precipitation compared to BASE, and DRY-DS = dry season (January–April) precipitation reduced by 75% compared to BASE. In addition to recruitment rates, this dataset provides TRS predictions of PFT-specific seed bank and seedling pool dynamics (tracked in units of carbon) and ED predictions of understory photosynthetically active radiation and soil matric potential at 6 cm soil depth.
- Research Organization:
- Next-Generation Ecosystem Experiments Tropics; University of California, Berkeley; Lawrence Berkeley National Laboratory; Smithsonian Research Institute
- Sponsoring Organization:
- Department of Energy, Office of Science, Office of Biological and Environmental Research
- DOE Contract Number:
- AC02-05CH11231
- OSTI ID:
- 1855609
- Report Number(s):
- NGT0185
- Country of Publication:
- United States
- Language:
- English