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Title: Simulated tree recruitment at PA-BCI under four precipitation scenarios

Dataset ·
DOI:https://doi.org/10.15486/ngt/1855609· OSTI ID:1855609
 [1];  [2]; ;  [3];  [2]
  1. University of California Berkeley
  2. Lawrence Berkeley National Laboratory
  3. 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; Univ. of California, Berkeley, CA (United States); Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States); Smithsonian Research Institute
Sponsoring Organization:
Department of Energy, Office of Science, Office of Biological and Environmental Research
DOE Contract Number:
DE-AC02-05CH11231
OSTI ID:
1855609
Report Number(s):
NGT0185
Resource Relation:
Related Information: Powell TL, Koven CD, Johnson DJ, Faybishenko B, Fisher RA, Knox RG, McDowell NG, Condit R, Hubbell SP, Wright SJ, et al. 2018. Variation in hydroclimate sustains tropical forest biomass and promotes functional diversity. New Phytologist 219: 932–946. Powell T, Kueppers L, Paton S. 2017. Seven years (2008-2014) of meteorological observations plus a synthetic El Nino drought for BCI Panama. doi: 10.15486/ngt/1414275. [accessed 16 February 2022]. Boris Faybishenko, Steve Paton(2021). PA-BCI Meteorological dataset 1985-2018. NGEE Tropics Data Collection. Accessed at http://dx.doi.org/10.15486/ngt/1771850. Medvigy D, Wofsy SC, Munger JW, Hollinger DY, Moorcroft PR. 2009. Mechanistic scaling of ecosystem function and dynamics in space and time: Ecosystem Demography model version 2. Journal of Geophysical Research: Biogeosciences 114: 1–21.
Country of Publication:
United States
Language:
English

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