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.本数据集包含Martinuzzi等人（2022）的两项研究成果："biomass.tif"为分辨率26米的波多黎各森林地上生物量（Aboveground Biomass, AGB）栅格地图，其基于NASA G-LiHT激光雷达数据与森林清查与分析（Forest Inventory and Analysis, FIA）样地数据构建。"input_multivariate_v2.shp"为点位矢量shapefile，包含各森林像元的林分年龄、基质类型、既往土地利用历史、地形湿度、坡度与降水等信息。 这两项数据集可用于评估波多黎各湿润森林中激光雷达样带次生林的地上生物量空间分布格局，亦可用于分析地上生物量与环境变量间的关联关系。有关这两项成果的更多细节，可查阅数据归档包内的辅助文件"Readme.txt"，以及Martinuzzi等人（2022）的原始研究论文。 本数据集最初发布于NGEE Tropics Archive（下一代热带生态系统实验数据集档案馆），现由ESS-DIVE进行镜像存档以实现长期留存。 致谢：本研究作为下一代生态系统实验-热带（Next Generation Ecosystem Experiments-Tropics, NGEE-Tropics）项目的一部分得到资助，该项目由美国能源部科学办公室生物与环境研究办公室，通过与美国林务局（合同号# 89243018SSC000012）及NASA（合同号# 89243018SSC000013）签订的跨机构协议支持。SM的研究工作得到美国林务局国际热带森林研究所的项目资助（编号16-CA-11132762-351）。额外资助来自美国农业部林务局、美国内政部国家食品与农业研究所（项目编号2018–67030-28124）以及NASA。美国农业部林务局国际热带森林研究所、卢奎略长期生态研究站（Luquillo LTER）及NASA机载科学项目为G-LiHT数据采集提供了后勤支持。加勒比FIA项目由美国农业部林务局南方研究站与国际热带森林研究所共同实施。国际热带森林研究所（IITF）的相关工作与波多黎各大学合作完成。本出版物中的发现与结论仅代表作者个人观点，不应被解读为美国农业部或美国联邦政府的官方立场或政策。