Author(s): Bomfim B; Walker A; McDowell W; Zimmerman J; Feng Y; Kueppers L
Site ID: XX-PTr
Site Name: Pantropical site
Variables: Other; Soil chemical composition
Date Range: Jan. 30, 1976 - Oct. 4, 2017
Description: Statement of purpose: Tropical cyclones are intensifying and occurring at higher latitudes in recent decades, but the mechanisms underpinning the resistance (ability to withstand disturbance-induced change) and resilience (pace of return to pre-disturbance reference values) of tropical forests to cyclones remains largely unexplored at the pantropical scale. We conducted a meta-analysis to investigate the role of soil resource availability (i.e., total soil phosphorus concentration) in mediating site-level forest canopy resistance and resilience to cyclones pan-tropically. We evaluated cyclone-induced and post-cyclone litterfall mass (g/m2/day), phosphorus (P) and nitrogen (N) fluxes (mg/m2/day), as well as concentrations (mg/g) across 73 case studies in Australia, Guadeloupe, Hawaii, Mexico, Puerto Rico, and Taiwan. The dataset zip file includes three data and two metadata files: - The compiled Litterfall Mass Flux data from tropical forests across the globe prior to and after varying tropical cyclone disturbances are provided in Litterfall_Mass.csv. This data file also includes site location, geographical characteristics, elevation, soil phosphorus concentration, geology, and several variables related to each tropical cyclone disturbance. - The compiled Litterfall Nitrogen and Phosphorus Flux data from tropical forests across the globe prior to and after varying tropical cyclone disturbances are provided in Litterfall_Nutrients.csv. This data file also includes site location, geographical characteristics, elevation, soil phosphorus concentration, geology, and several variables related to each tropical cyclone disturbance. - Tropical cyclone track data compiled from HURDAT2 and IBTrACS databases and used as input in the HURRECON model (https://github.com/hurrecon-model/HurreconR) to generate wind data is provided in hurdat2-1851-2019-052520.txt. - The metadata file (Metadata_Meta-analysis_Litterfall-Mass.pdf) has the complete information on each variable included in the Litterfall_Mass.csv dataset, the data sources, and data processing information. - The metadata file (Metadata_Meta-analysis_Litterfall-Nutrients.pdf) has the complete information on each variable included in the Litterfall_Nutrients.csv dataset, the data sources, and data processing information.
QA/QC: Full QA-QC
Methods Description: Methods to compile the data are described in the Metadata files.
Access Level: Public
Originating Institution(s): Lawrence Berkeley National Laboratory; Oak Ridge National Laboratory; University of New Hampshire; University of California, Berkeley; University of Puerto Rico-Río Piedras.
Sponsor Organization(s): None
Contact: Bomfim, Barbara - Lawrence Berkeley National Laboratory (bbomfim@lbl.gov)
Version: 1.0
Dataset Citation: Bomfim B; Walker A; McDowell W; Zimmerman J; Feng Y; Kueppers L (2021): Pantropical forest soil phosphorus, litterfall mass and nutrients, tropical cyclone frequency, and wind intensity. 1.0. NGEE Tropics Data Collection. (dataset). http://dx.doi.org/10.15486/ngt/1821683
Acknowledgement: This research was supported as part of the Next Generation Ecosystem Experiments-Tropics (NGEE), funded by the U.S. Department of Energy, Office of Science, Office of Biological and Environmental Research under contract number DE-AC02-05CH11231. This research utilized data from Luquillo Long-Term Ecological Research (LTER) Program which is currently supported by NSF grant DEB-1831952 to the Institute for Tropical Ecosystem Studies, University of Puerto Rico, and to the International Institute of Tropical Forestry USDA Forest Service. We thank R. Negrón-Juárez, A. Lugo, A. Ramírez, W. Silver, D. Imbert, R. Norby, C. Huang, and H.-Ching for providing crucial insights and data for this research.
Data Link: Download Dataset
Bomfim, B. et al. Linking soil phosphorus with forest litterfall resistance and resilience to cyclone disturbance: A pantropical meta‐analysis. Global Change Biology 28, 4633–4654 (2022). https://doi.org/10.1111/gcb.16223
