NOTICE: We’re in the process of migrating the NGEE-Tropics Data Archive to ESS-DIVE, the long-term data archive for BER/ESS. All public NGEE-Tropics datasets can be accessed in the new NGEE-Tropics Portal in ESS-DIVE, including after the NGEE-Tropics Data Archive is retired.

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

Author(s): Pastorello G; Lima A; Gimenez B; Longo M; Chambers J; Higuchi N


Dataset Information

Site ID: BR-BIO

Site Name: Manaus - ZF2 BIONTE

Variables: Demography; Wood density

Date Range: July 1, 1990 - July 1, 2019

Description: 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 Chave et al. (2006), which was then adapted by Marra et al. (2016) and Marra et al. (2018). We also included data collected and synthesized by Ramírez-Méndez (2018) and Gimenez et al.(2021), who combined local estimates of wood density at the site with other sources collected in the Central Amazon. Data are included in .csv files, while BIONTE_WD_headers.txt provides descriptions of data file headers.

QA/QC: Provisional QA-QC

Methods Description: When combining data sources, multiple wood density entries for a given species or genus were included as a simple average. To assign wood density values to individuals within BIONTE, we used matching species name if available, and if not, then genus, then family; if none of these were available, we used the plot average wood density for that individual, following the same approach from Chave et al. (2006).

Access Level: Public

Originating Institution(s): National Institute for Amazon Research (INPA) and Lawrence Berkeley National Laboratory (LBNL)

Sponsor Organization(s): National Institute for Amazon Research (INPA)

Contact: Pastorello, Gilberto - Lawrence Berkeley National Laboratory (gzpastorello@lbl.gov)


Data Download

Version: 1.0

Dataset Citation: Pastorello G; Lima A; Gimenez B; Longo M; Chambers J; Higuchi N (2022): Harmonized wood density data for Central Amazon species in the BIONTE experimental area in Manaus, Brazil. 1.0. NGEE Tropics Data Collection. (dataset). https://doi.org/10.15486/ngt/1898906

Acknowledgement: None

Data Link: Download Dataset

NGEE Tropics data policy.


Reference:

Chave, J., Muller-Landau, H.C., Baker, T.R., Easdale, T.A., Steege, H.T. & Webb, C.O. (2006), Regional and phylogenetic variation of wood density across 2456 neotropical tree species. Ecological Applications, 16: 2356-2367. https://doi.org/10.1890/1051-0761(2006)016[2356:RAPVOW]2.0.CO;2

Chave, J., Muller-Landau, H.C., Baker, T.R., Easdale, T.A.; ter Steege, H., & Webb, C.O. (2016). Regional and phylogenetic variation of wood density across 2456 neotropical tree species. Collection. https://doi.org/10.6084/m9.figshare.c.3293594.v1

Lima, A.J.N., Pastorello, G., Gimenez, B.O., Weber, A., Chambers, J.Q., & Higuchi, N. (2022). Growth, mortality, wood density, biomass data from BIONTE inventories in Manaus, Brazil. NGEE-Tropics Data Collection. (dataset). https://doi.org/TBD

Marra, D.M., Trumbore, S.E., Higuchi, N., Ribeiro, G.H.P.M., Negrón-Juárez, R.I., Holzwarth, F., Rifai, S.W., dos Santos, J., Lima, A.J.N., Kinupp, V.F., Chambers, J.Q., & Wirth, C. (2018). Windthrows control biomass patterns and functional composition of Amazon forests. Global Change Biology, 24: 5867-5881. https://doi.org/10.1111/gcb.14457

Marra, D.M., Higuchi, N., Trumbore, S.E., Ribeiro, G.H.P.M., dos Santos, J., Carneiro, V.M.C., Lima, A.J.N., Chambers, J.Q., Negrón-Juárez, R.I., Holzwarth, F., Reu, B., & Wirth, C. (2016). Predicting biomass of hyperdiverse and structurally complex central Amazonian forests -- a virtual approach using extensive field data. Biogeosciences, 13(5): 1553-1570. https://doi.org/10.5194/bg-13-1553-2016

Ramírez-Méndez, C. (2018), in Portuguese. Influência do El Niño 2015-2016 no incremento diamétrico das árvores da Amazônia Central. MSc Dissertation. https://repositorio.inpa.gov.br/handle/1/5110

Gimenez, B., Jardine, K., Higuchi, N., Negron-Juarez, R., Araujo, A., Chambers, J., Robles, E., (2021). Sap Velocity and Leaf-level Measurements in Manaus and Santarém - Brazil. NGEE Tropics Data Collection. https://doi.org/10.15486/ngt/1570380