G-LiHT Campaign Leaf Mass Area and Water Content, Mar2017: Puerto Rico

Author(s): Serbin S; Meng R; Wu J; Ely K

Site ID: PR-CAM; PR-CAR; PR-FLM; PR-SB2; PR-UPR

Site Name: CAM2: Cambalache State Forest; CAR1: Carite State Forest; Fundacion Luis Munoz Marin (FLMM); SB2: Sabana 2; International Institute of Tropical Forestry

Variables: Leaf mass area

Date Range: March 3, 2017 - March 9, 2017

Description: This data package contains measurements of leaf mass per area (LMA) and fresh-leaf water content collected from 54 tropical tree species across five sites in Puerto Rico. Data includes leaves collected from fully sunlit and shaded canopy strata as well as leaves for young, mature, old, and senescent leaf ages. Data for each sample includes the relative age estimate, leaf canopy position, and sample number. Included in the attached zip file are two Excel files with metadata (E-Field_Log_2017_BNL_PuertoRico.xlsx and File_Submission_Metadata_2017_PR_LMA.xlsx) and two data files (NGEE-Tropics_Puerto_Rico_March2017_LMA.xlsx and NGEE-Tropics_Puerto_Rico_March2017_Leaf_Sample_Detail.xlsx). This data was collected as part of the 2017 NGEE-Tropics / NASA G-LiHT airborne campaign. See related datasets for sample details including photographs, leaf-level optical properties (i.e. reflectance and transmittance) and leaf carbon and nitrogen.

QA/QC: Full QA-QC

Methods Description: Leaves were collected from fully sunlit and shaded canopy strata as well as leaves for young, mature, old and senescent leaf ages. See the related publication for more details about data collection.

Access Level: Public

Originating Institution(s): Brookhaven National Laboratory

Sponsor Organization(s): None

Contact: Serbin, Shawn - Brookhaven National Laboratory (sserbin@bnl.gov)

Version: 1.0

Dataset Citation: Serbin S; Meng R; Wu J; Ely K (2021): G-LiHT Campaign Leaf Mass Area and Water Content, Mar2017: Puerto Rico. 1.0. NGEE Tropics Data Collection. (dataset). http://dx.doi.org/10.15486/ngt/1495202

Acknowledgement: This research was supported as part of NGEE-Tropics, funded by the U.S. Department of Energy, Office of Science, Office of Biological and Environmental Research under contract no. DE-SC0012704.

Data Link: Download Dataset

Serbin, S.P., Wu, J., Ely, K.S., Kruger, E.L., Townsend, P.A., Meng, R., Wolfe, Brett T., Chlus, A., Wand, Z., and A. Rogers (2019), From the Arctic to the tropics: multi‐biome prediction of leaf mass per area using leaf reflectance, New Phytologist. DOI:10.1111/nph.16123.