Patterns and controls on island-wide aboveground biomass accumulation in second-growth forests of Puerto Rico

This dataset includes two products from Martinuzzi et al. (2022):"biomass.tif" is a 26-m resolution forest biomass (AGB) map for Puerto Rico derived from NASA G-LiHT lidar data and forest inventory data (FIA plots), in raster format."input_multivariate_v2.shp" is a point shapefile with information on forest age, substrate, past land use, topographic wetness, slope, and precipitation, for each forest pixel.These two datasets can be used to evaluate spatial patterns of AGB in second-growth forests across transects of lidar data in humid forests of Puerto Rico, and to analyze relationship(s) between AGB and environmental variables. Additional information on these products can be found on the supporting file called "Readme.txt" included within the data archive, as well as in the original manuscript by Martinuzzi et al (2022). This dataset was originally published on the NGEE Tropics Archive and is being mirrored on ESS-DIVE for long-term archival Acknowledgement: This work was supported as part of the Next Generation Ecosystem Experiments- Tropics, funded by the U.S. Department of Energy, Office of Science, Office of Biological and Environmental Research, through interagency agreements with the US Forest Service (# 89243018SSC000012) and NASA (# 89243018SSC000013). Work by SM was supported by an award from the US Forest Service, International Institute of Tropical Forestry (16- CA- 11132762- 351). Additional funding was provided by the USDA Forest Service, US Department of Interior (National Institute of Food and Agriculture # 2018–67,030-28,124), and NASA. The USDA Forest Service International Institute of Tropical Forestry, Luquillo LTER, and NASA’s Airborne Science Program provided logistical support for G-LiHT data collection. The Caribbean FIA program is conducted by the USDA Forest Service Southern Research Station and International Institute of Tropical Forestry. Work at IITF is done in collaboration with the University of Puerto Rico. The findings and conclusions in this publication are those of the authors and should not be construed to represent any official USDA or U.S. Government determination or policy.