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Title: Next-Generation Ecosystem Experiments (NGEE) - Tropics

The Next-Generation Ecosystem Experiments–Tropics, or NGEE-Tropics, is a ten-year, multi-institutional project aiming to fill the critical gaps in knowledge of tropical forest-climate system interactions. The overarching goal of NGEE-Tropics is to develop a predictive understanding of how tropical forest carbon balance and climate system feedbacks will respond to changing environmental drivers over the 21st Century. NGEE-Tropics’ grand deliverable is a representative, process-rich tropical forest ecosystem model, extending from bedrock to the top of the vegetative canopy-atmosphere interface, in which the evolution and feedbacks of tropical ecosystems in a changing climate can be modeled at the scale and resolution of a next-generation Earth System Model grid cell (~10 x 10 km2 grid size).
Product Type:
Project
Project Lead:
 [1] ;  [1]
  1. Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)
Research Org(s):
Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States); NGEE-TRPC (Next-Generation Ecosystem Experiments – Tropics); Brookhaven National Laboratory (BNL), Upton, NY (United States); Los Alamos National Lab. (LANL), Los Alamos, NM (United States); Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States); Pacific Northwest National Lab. (PNNL), Richland, WA (United States); National Institute of Amazonian Research (INPA), Petropolis, Manaus (Brazil); International Institute of Tropical Forestry (IITF), San Juan, Puerto Rico; National Aeronautics and Space Administration (NASA), Washington, D.C. (United States); National Center for Atmospheric Research (NCAR), Boulder, CO (United States); Smithsonian Tropical Research Institute, Ancon, Panama City (Panama)
Sponsoring Org:
USDOE Office of Science (SC), Biological and Environmental Research (BER) (SC-23)
Geolocation:
-122.246343,37.875069
Subject:
54 ENVIRONMENTAL SCIENCES; ngee; ngee tropics; tropical; carbon balance; ecosystem; climate change; earth system model; ESM; remote sensing; forest; ecosystem model; climate system feedbacks; hydrology; temperature; nutrient constraints
OSTI Identifier:
1374176
Project Location:
Berkeley, CA
No associated Collections found.
  1. View Dataset
    Publication Date:
    Research Org:
    Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States); NGEE-TRPC (Next-Generation Ecosystem Experiments – Tropics)
    Sponsoring Org:
    USDOE Office of Science (SC), Biological and Environmental Research (BER) (SC-23)
  2. View Dataset
    Publication Date:
    Research Org:
    Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)
    Sponsoring Org:
    USDOE Office of Science (SC), Biological and Environmental Research (BER) (SC-23); NGEE-TRPC (Next-Generation Ecosystem Experiments – Tropics)
  3. View Dataset
    Publication Date:
    Research Org:
    Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States); NGEE-TRPC (Next-Generation Ecosystem Experiments – Tropics)
    Sponsoring Org:
    USDOE Office of Science (SC), Biological and Environmental Research (BER) (SC-23)
  4. This data set contain global gridded surfaces of Gross Primary Productivity (GPP) at 2 arc minute (approximately 4 km) spatial resolution monthly for the period of 2000-2014 derived from FLUXNET2015 (released July 12, 2016) observations using a representativeness based upscaling approach.
    View Dataset
    Publication Date:
    Research Org:
    Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States); NGEE-TRPC (Next-Generation Ecosystem Experiments – Tropics)
    Sponsoring Org:
    USDOE Office of Science (SC), Biological and Environmental Research (BER) (SC-23)
  5. Pressure volume curve measurements on leaves of canopy trees from the from the Caxiuana and Tapajos National Forests, Para, Brazil. Tapajos samples were harvested from the km 67 forested area, which is adjacent to the decommissioned throughfall exclusion drought experimental plot. Caxiuana samples were harvested from trees growing in the throughfall exclusion plots. Data were collected in 2011. Dataset includes: date of measurement, site ID, plot ID, tree ID (species, tree tag #), leaf area, fresh weight, relative weight, leaf water potential, and leaf water loss. P-V curve parameters (turgor loss point, osmotic potential, and bulk modulus of elasticity) canmore » be found in Powell et al. (2017) Differences in xylem cavitation resistance and leaf hydraulic traits explain differences in drought tolerance among mature Amazon rainforest trees. Global Change Biology. « less
    View Dataset
    Publication Date:
    Research Org:
    Harvard University
    Sponsoring Org:
    Harvard University, Gordon and Betty Moore Foundation, National Science Foundation (DDIG and PIRE programs)
  6. Raw data for xylem vulnerability curves measured on upper canopy branches of mature trees from the Caxiuana and Tapajos National Forests, Para, Brazil. Tapajos samples were harvested from km67 transects, which is nearby the decommissioned throughfall-exclusion, drought-experiment plots. Caxiuana samples were harvested from trees growing in the throughfall-exclusion, drought-experiment plots. Data were collected in 2011 and 2012. Dataset includes: date of measurement, site ID, plot ID, tree ID (species, tree tag #), xylem pressure, percent loss of conductivity. Air injection method was used. Data reference: Powell et al. (2017) Differences in xylem cavitation resistance and leaf hydraulic traits explain differencesmore » in drought tolerance among mature Amazon rainforest trees. Global Change Biology. « less
    View Dataset
    Publication Date:
    Research Org:
    Harvard University
    Sponsoring Org:
    Harvard University, Gordon and Betty Moore Foundation, National Science Foundation (DDIG and PIRE programs)
  7. CO2 response (ACi) gas exchange measured on leaves collected from sunlit canopy trees on a monthly basis from Feb to May 2016 at SLZ and PNM. Dataset includes calculated Vcmax and Jmax parameters. This data was collected as part of the 2016 ENSO campaign. See related datasets (existing and future) for further sample details, leaf water potential, LMA, leaf spectra, other gas exchange and leaf chemistry.
    View Dataset
    DOE Contract Number:
    SC0012704
    Publication Date:
    Research Org:
    Next-Generation Ecosystem Experiments Tropics; Brookhaven National Lab. (BNL), Upton, NY (United States); Los Alamos National Laboratory; STRI
    Sponsoring Org:
    U.S. Department of Energy Office of Science Office of Biological and Environmental Research
  8. Pre-dawn and diurnal leaf water potential measured on a monthly basis from Feb to May 2016 at SLZ and PNM. Data from BCI only available for March. This data was collected as part of the 2016 ENSO campaign. See related datasets (existing and future) for further sample details, leaf spectra, LMA, gas exchange and leaf chemistry.
    View Dataset
    DOE Contract Number:
    SC0012704
    Publication Date:
    Research Org:
    Next-Generation Ecosystem Experiments Tropics; Brookhaven National Lab. (BNL), Upton, NY (United States); Los Alamos National Laboratory; STRI
    Sponsoring Org:
    U.S. Department of Energy Office of Science Office of Biological and Environmental Research
  9. Date, location, species and photographs of leaf samples collected on a monthly basis from Feb to May 2016 at SLZ and PNM. Data from BCI only available for March. This data was collected as part of the 2016 ENSO campaign. Data to be used as a reference to linking related datasets (existing and future) including leaf water potential, leaf spectra, LMA, gas exchange and leaf chemistry (CHN, NSC, P). Most leaves were sampled from sunlit canopy trees.
    View Dataset
    DOE Contract Number:
    SC0012704
    Publication Date:
    Research Org:
    Next-Generation Ecosystem Experiments Tropics; Brookhaven National Lab. (BNL), Upton, NY (United States); Los Alamos National Laboratory; STRI
    Sponsoring Org:
    U.S. Department of Energy Office of Science Office of Biological and Environmental Research
  10. Diurnal leaf gas exchange survey measured on sunlit canopy trees on a monthly basis from Feb to May 2016 at SLZ and PNM. This data was collected as part of the 2016 ENSO campaign. See related datasets (existing and future) for further sample details, leaf water potential, LMA, leaf spectra, other gas exchange and leaf chemistry.
    View Dataset
    DOE Contract Number:
    SC0012704
    Publication Date:
    Research Org:
    Next-Generation Ecosystem Experiments Tropics; Brookhaven National Lab. (BNL), Upton, NY (United States); Los Alamos National Laboratory; STRI
    Sponsoring Org:
    U.S. Department of Energy Office of Science Office of Biological and Environmental Research
  11. Leaf mass per unit area measured on a monthly basis from Feb to April 2016 at SLZ and PNM. Data from BCI only available for March. This data was collected as part of the 2016 ENSO campaign. See related datasets (existing and future) for further sample details, leaf water potential, leaf spectra, gas exchange and leaf chemistry.
    View Dataset
    DOE Contract Number:
    SC0012704
    Publication Date:
    Research Org:
    Next-Generation Ecosystem Experiments Tropics; Brookhaven National Lab. (BNL), Upton, NY (United States); Los Alamos National Laboratory; STRI
    Sponsoring Org:
    U.S. Department of Energy Office of Science Office of Biological and Environmental Research
  12. This dataset is a derivative product of raw meteorological data collected at Barro Colorado Island, Panama (see acknowledgements below). This dataset contains the following: 1) a seven-year record (2008-2014) of meteorological observations from BCI that is in a comma delimited text format, 2) an R-script that converts the observed meteorology into an hdf5 format that can be read by the ED2 model, 3) two decades of meteorological drivers in hdf5 format that are based on the 7-year record of observations and include a synthetic 2-yr El Nino drought, 4) a ReadMe.txt file that explains how the data in the hdf5more » meteorological drivers correspond to the observations. The raw meteorological data were further QC'd as part of the NGEE-Tropics project to derive item 1 above. The R-script makes the appropriate unit conversions for all observed meteorological variables to be compatible with the ED2 model. The R-script also converts RH into specific humidity, splits total shortwave radiation into its 4-stream parts, and calculates longwave radiation from air temperature and RH. The synthetic El Nino drought is based on selected months from the observed meteorology where in each, precipitation (only) of the selected months was modified to reflect the precipitation patterns of the 1982/83 El Nino observed at BCI. « less
    View Dataset
    DOE Contract Number:
    DE-AC02-05CH11231
    Publication Date:
    Research Org:
    Next-Generation Ecosystem Experiments Tropics; Lawrence Berkeley National Laboratory (See acknowledgements below for the source of the original raw data)
    Sponsoring Org:
    Department of Energy, Office of Science, Office of Biological and Environmental Research
  13. Raw data of resin P values, root phosphatase, bacterial community 16S rRNA gene sequences, and bacterial isolate phosphatase and P solubilization in Rio Icacos, El Verde Ridge and El Verde Valley. Contact cabugaokm@ornl.gov if you need to use this dataset for additional information.
    View Dataset
    DOE Contract Number:
    No. DE-AC05-00OR22725
    Publication Date:
    Research Org:
    Next-Generation Ecosystem Experiments Tropics; Oak Ridge National Research Laboratory
    Sponsoring Org:
    U.S. Department of Energy, NGEE-Tropics
  14. FRAMES is a a set of Excel metadata files and package-level descriptive metadata that are designed to facilitate and improve capture of desired metadata for ecohydrological observations. The metadata are bundled with data files into a data package and submitted to a data repository (e.g. the NGEE Tropics Data Repository) via a web form. FRAMES standardizes reporting of diverse ecohydrological and biogeochemical data for synthesis across a range of spatiotemporal scales and incorporates many best data science practices. This version of FRAMES supports observations for primarily automated measurements collected by permanently located sensors, including sap flow (tree water use), leafmore » surface temperature, soil water content, dendrometry (stem diameter growth increment), and solar radiation. Version 1.1 extend the controlled vocabulary and incorporates functionality to facilitate programmatic use of data and FRAMES metadata (R code available at NGEE Tropics Data Repository). « less
    View Dataset
    DOE Contract Number:
    DE-AC02-05CH11231
    Publication Date:
    Research Org:
    Next-Generation Ecosystem Experiments Tropics; Lawrence Berkeley National Laboratory
    Sponsoring Org:
    U.S. Department of Energy Office of Science Office of Biological and Environmental Research
  15. QA/QC-ed datasets of Temperature, Solar Radiation, Relative Humidity, Rainfall, Barometric Pressure, Wind Speed, and Wind Direction for the period of 2003-2016.
    View Dataset
    DOE Contract Number:
    AC02-05CH11231
    Publication Date:
    Research Org:
    Next-Generation Ecosystem Experiments Tropics; STRI; LBNL
    Sponsoring Org:
    Department of Energy, Office of Science, Office of Biological and Environmental Research
  16. Hurricane Maria made landfall as a strong Category 4 storm in southeast Puerto Rico on September 20th, 2018. The powerful storm traversed the island in a northwesterly direction causing widespread destruction. This study focused on a rapid assessment of Hurricane Marias impact to Puerto Ricos forests. Calibrated and corrected Landsat 8 image composites for the entire island were generated using Google Earth Engine for a comparable pre-Maria and post-Maria time period that accounted for phenology. Spectral mixture analysis (SMA) using image-derived end members was carried out on both composites to calculate the change in the non-photosynthetic vegetation (Delta-NPV) spectral response,more » a metric that quantifies the increased fraction of exposed wood and surface litter associated with tree mortality and crown damage from the storm. Hurricane simulations were also conducted using the Weather Research and Forecasting (WRF) regional climate model to estimate wind speeds associated with forest disturbance. Dramatic changes in forest structure across the entire island were evident from pre- and post-Maria composited Landsat 8 images. A Delta-NPV map for only the forested pixels illustrated significant spatial variability in disturbance, with patterns that associated with factors such as slope, aspect and elevation. An initial order-of-magnitude impact estimate based on previous work indicated that Hurricane Maria may have caused mortality and severe damage to 23-31 million trees. Additional field work and image analyses are required to further detail the impact of Hurricane Maria to Puerto Rico forests. A minor update to this dataset was posted on April 20, 2018. The previous version is being retired. If you need access to the prior version of the data, email ngee-tropics-archive@lbl.gov. « less
    View Dataset
    DOE Contract Number:
    DE-AC02-05CH11231
    Publication Date:
    Research Org:
    Next-Generation Ecosystem Experiments Tropics; UC Berkeley, LBNL
    Sponsoring Org:
    Department of Energy, Office of Science, Office of Biological and Environmental Research
  17. Leaf spectra of sunlit canopy leaves of APEIME, GUATDU, MICOBO, TERMAM, VIROSP and VOCHFE species from PA-SLZ, February 2017. Leaf spectra measured on young, mature and old leaves collected before dawn and around midday on 5 days. Leaf data includes temperature (pre- and post-spectral measurement) and leaf size (length, width). This data was collected as part of the 2017 BNL–STRI leaf traits by age campaign. See related datasets for further sample details, leaf water potential, sap flow, LMA, gas exchange and leaf chemistry.
    View Dataset
    DOE Contract Number:
    DE-SC0012704
    Publication Date:
    Research Org:
    Next-Generation Ecosystem Experiments Tropics; Brookhaven National Lab. (BNL), Upton, NY (United States)
    Sponsoring Org:
    U.S. Department of Energy Office of Science Office of Biological and Environmental Research
  18. Leaf spectra measured on a monthly basis from Feb to April 2016 at SLZ and PMN. Data from BCI only available for March. This data was collected as part of the 2016 ENSO campaign. See related datasets (existing and future) for further sample details, leaf water potential, LMA, gas exchange and leaf chemistry.
    View Dataset
    DOE Contract Number:
    DE-SC0012704
    Publication Date:
    Research Org:
    Next-Generation Ecosystem Experiments Tropics; Brookhaven National Lab. (BNL), Upton, NY (United States); Los Alamos National Laboratory; STRI
    Sponsoring Org:
    U.S. Department of Energy Office of Science Office of Biological and Environmental Research
  19. Leaf mass per area of leaves sampled for gas exchange measurements from PA-SLZ, February 2017. Sunlit canopy leaves of APEIME, GUATDU, MICOBO, TERMAM, VIROSP and VOCHFE species were collected before dawn. This data was collected as part of the 2017 BNL–STRI leaf traits by age campaign. See related datasets for leaf sample details, leaf water potential, leaf spectra, sap flow, gas exchange and leaf chemistry.
    View Dataset
    DOE Contract Number:
    DE-SC0012704
    Publication Date:
    Research Org:
    Next-Generation Ecosystem Experiments Tropics; Brookhaven National Lab. (BNL), Upton, NY (United States)
    Sponsoring Org:
    U.S. Department of Energy Office of Science Office of Biological and Environmental Research
  20. Results from Non-Structural Carbohydrate analysis of leaf and branch samples are provided in 2016ENSO_Panama_NSC.xlsx. The metadata files (Metadata_description_2016_ENSO_Panama.docx, File_Submission_Metadata_v1_2016ENSO_Panama_NSC.xlsx), field log (E-Field_Log_2016ENSO_Panama.xlsx), and protocols (ENSO NSC field protocol.pdf, Tropics NSC Assay protocol.pdf) contain additional information. Contact lee@lanl.gov for additional information.
    View Dataset
    Publication Date:
    Research Org:
    Next-Generation Ecosystem Experiments Tropics; Los Alamos National Laboratory
    Sponsoring Org:
    U.S. Department of Energy Office of Science Office of Biological and Environmental Research