Growth, mortality, wood density, biomass data from BIONTE inventories in Manaus, Brazil

Lima, Adriano; Pastorello, Gilberto; Gimenez, Bruno; Weber, Anna; Chambers, Jeff; Higuchi, Niro

doi:10.15486/ngt/1898910

Title: Growth, mortality, wood density, biomass data from BIONTE inventories in Manaus, Brazil

Dataset
Other Related Research

Abstract

BIONTE (BIOmass and NuTrient Experiment) is a selective logging experiment established at the Experimental Station of Tropical Forestry (EEST, aka “ZF2”) field research station in the mid 1980s in the central Amazon (Higuchi et al. 1997, Amaral et al. 2019). Led by the National Institute for Amazon Research (INPA) in Brazil, the project aimed at assessing the effects of logging intensity on forest dynamics and enabling the creation of a model of forest management for the Central Amazon. The experiment included three levels of increasing selective logging intensity and controls, with 1 hectare sample plots (12 total) located at the center of 4 hectare treatment plots. The site’s Köppen classification is tropical rainforest (Af), characterized by high temperatures and humidity, with mean annual temperatures around 27 ℃ and mean annual precipitation around 2200 mm of rain. The vegetation has a high floristic diversity, the soils of the region are poor in nutrients, and the topography is characterized by plateaus (where BIONTE is located), and also valley bottoms and slopes. The inventory (growth and mortality) and biomass data included here covers the 1990 to 2019 period, with wood density being averaged from existing datasets. This dataset includes a data file inmore »« less

Authors:

Lima, Adriano; Pastorello, Gilberto; Gimenez, Bruno; Weber, Anna; Chambers, Jeff; Higuchi, Niro

National Institute for Amazon Research (INPA); Lawrence Berkeley National Lab
Lawrence Berkeley National Laboratory
National Institute of Amazon Research (INPA)
INPA

Publication Date:: Mon Jan 01 04:00:00 UTC 2024

Other Number(s):: NGT0195

DOE Contract Number:: AC02-05CH11231

Research Org.:: Next-Generation Ecosystem Experiments Tropics; National Institute for Amazon Research (INPA) and Lawrence Berkeley National Laboratory (LBNL)

Sponsoring Org.:: National Institute for Amazon Research (INPA), U.S. Department of Energy Office of Science-Office of Biological and Environmental Research

Subject:: 54 ENVIRONMENTAL SCIENCES

OSTI Identifier:: 1898910

DOI:: https://doi.org/10.15486/ngt/1898910

Citation Formats


                    Lima, Adriano, Pastorello, Gilberto, Gimenez, Bruno, Weber, Anna, Chambers, Jeff, and Higuchi, Niro. Growth, mortality, wood density, biomass data from BIONTE inventories in Manaus, Brazil.  United States: N. p., 2024. 
        Web.  doi:10.15486/ngt/1898910.

Copy to clipboard


                    Lima, Adriano, Pastorello, Gilberto, Gimenez, Bruno, Weber, Anna, Chambers, Jeff, & Higuchi, Niro. Growth, mortality, wood density, biomass data from BIONTE inventories in Manaus, Brazil.  United States.  doi:https://doi.org/10.15486/ngt/1898910

Copy to clipboard


                    Lima, Adriano, Pastorello, Gilberto, Gimenez, Bruno, Weber, Anna, Chambers, Jeff, and Higuchi, Niro. 2024.  
"Growth, mortality, wood density, biomass data from BIONTE inventories in Manaus, Brazil".  United States.  doi:https://doi.org/10.15486/ngt/1898910.  https://www.osti.gov/servlets/purl/1898910. Pub date:Mon Jan 01 04:00:00 UTC 2024

Copy to clipboard


                    
@article{osti_1898910,

  title        = {Growth, mortality, wood density, biomass data from BIONTE inventories in Manaus, Brazil},

  author       = {Lima, Adriano and Pastorello, Gilberto and Gimenez, Bruno and Weber, Anna and Chambers, Jeff and Higuchi, Niro},

  abstractNote = {BIONTE (BIOmass and NuTrient Experiment) is a selective logging experiment established at the Experimental Station of Tropical Forestry (EEST, aka “ZF2”) field research station in the mid 1980s in the central Amazon (Higuchi et al. 1997, Amaral et al. 2019). Led by the National Institute for Amazon Research (INPA) in Brazil, the project aimed at assessing the effects of logging intensity on forest dynamics and enabling the creation of a model of forest management for the Central Amazon. The experiment included three levels of increasing selective logging intensity and controls, with 1 hectare sample plots (12 total) located at the center of 4 hectare treatment plots. The site’s Köppen classification is tropical rainforest (Af), characterized by high temperatures and humidity, with mean annual temperatures around 27 ℃ and mean annual precipitation around 2200 mm of rain. The vegetation has a high floristic diversity, the soils of the region are poor in nutrients, and the topography is characterized by plateaus (where BIONTE is located), and also valley bottoms and slopes. The inventory (growth and mortality) and biomass data included here covers the 1990 to 2019 period, with wood density being averaged from existing datasets. This dataset includes a data file in .csv file format and a .txt file, BIONTE_mortality-rates_headers.txt, that provides descriptions for the data file headers.},

  doi          = {10.15486/ngt/1898910},

  journal      = {},

  number       = ,

  volume       = ,

  place        = {United States},

  year         = {Mon Jan 01 04:00:00 UTC 2024},

  month        = {Mon Jan 01 04:00:00 UTC 2024}

}

Copy to clipboard

Dataset:

View Dataset

DOI: https://doi.org/10.15486/ngt/1898910

Save / Share:

Export Metadata

Save to My Library

Similar records in DOE Data Explorer and OSTI.GOV collections:

Harmonized wood density data for Central Amazon species in the BIONTE experimental area in Manaus, Brazil

Dataset Pastorello, Gilberto ; Lima, Adriano ; Gimenez, Bruno ; ...

BIONTE (BIOmass and NuTrient Experiment) is a selective logging experiment established at the Experimental Station of Tropical Forestry (EEST, aka “ZF2”) field research station in the mid 1980s in the central Amazon (Higuchi et al. 1997, Amaral et al. 2019). The main data related to BIONTE are available as a separate dataset (Lima et al. 2022). Only species identified within the BIONTE plots were included in this dataset. Wood density, expressed in g cm-3, was collated from multiple sources that were integrated to compose the wood density for BIONTE. The starting point used was wood density data available from Chavemore »« less
Leaf temperature raw data, 2015 - 2017, at Manaus, Brazil

Dataset Jardine, Kolby ; Gimenez, Bruno ; Negron-Juarez, Robinson ; ...

This data package contains raw leaf surface temperature data from the NGEE Tropics K34 tower site on a plateau near Manaus, Brazil, including automated and manually collected time series data on leaf surface temperature (thermocouples, IR radiometer, thermocamera). Leaf surface temperature (LST) was determined throughout diurnal periods using individual type T thermocouples (Omega Engineering) on 8 individual leaves of a single tree. Mature leaves at the same height and general area near the tower were selected. LST measurements were taken every 15 s and recorded on a field portable self-powered data logger (OM-CP-OCTTEMP-A, Omega Engineering). Measurements were stopped in themore »« less
Stem CO2 Efflux measurements from Manaus, Brazil, 2017

Dataset Jardine, Kolby ; Cobello, Leticia

This data was collected in order to test the effects of temperatures on the autotrophic respiratory process in the tropics. This data package contains raw real-time stem CO2 efflux files during the night and day from 3 different species near the K34 in Manaus during the day and the night. Raw and derived data files are included in the format of .csv and .xlsx and information about the canopy trees and temperatures recorded can be found in the field event log using microsoft excel. The data was collected from three canopy dominant trees in the central Amazon near the K34more »« less
Leaf gas exchange raw data, 2015 - 2017, at Manaus, Brazil

Dataset Jardine, Kolby ; Fernandes de Araujo, Raquel ; Rosa, Luani

This data package contains raw leaf gas exchange data from the NGEE Tropics K34 tower site on a plateau near Manaus, Brazil. Data was collected using sensor and leaf sample measurements. Leaves on a target tree were chosen by accessing a branch near the tower. In some cases, the branch was naturally positioned near the tower and in other cases, a small rope was used to pull the branch closer to the tower for better access to leaves. Mature leaves were targeted in nearly all cases. The gas exchange system was hauled with a climbing rope to the level ofmore »« less
Soil water content raw data, 2015 - 2017, at Manaus, Brazil

Dataset Negron-Juarez, Robinson ; Gimenez, Bruno

Raw soil water content data from K34 tower site on a plateau near Manaus, Brazil. Attached files include data, related metadata excel files, and sensor manual PDFs. All sensors on a single Campbell CR3000 data logger were installed near ground on the K34 tower. Additional file level metadata is contained in the referenced dataset.

Similar Records