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

Martinuzzi, Sebastian; Cook, Bruce; Helmer, Eileen; Keller, Michael; Locke, Dexter; Marcano-Vega, Humfredo; Uriarte, Maria; Morton, Doug

doi:10.15486/ngt/1873506

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

Dataset
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Abstract

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).

Authors:

Martinuzzi, Sebastian; Cook, Bruce; Helmer, Eileen; Keller, Michael; Locke, Dexter; Marcano-Vega, Humfredo; Uriarte, Maria; Morton, Doug

University of Wisconsin; Lawrence Berkeley National Lab
NASA
United States Forest Service

Publication Date:: Fri Dec 31 23:00:00 EST 2021

Other Number(s):: NGT0189

DOE Contract Number:: 89243018SSC000012; 89243018SSC000013

Research Org.:: Next-Generation Ecosystem Experiments Tropics; NASA Goddard Space Flight Center; USDA Forest Service; University of Wisconsin-Madison; Jet Propulsion Laboratory

Sponsoring Org.:: U.S. Department of Energy, Office of Science, Office of Biological and Environmental Research; NASA; USDA Forest Service, International Institute of Tropical Forestry; US Department of Interior (National Institute of Food and Agriculture).

Subject:: 54 ENVIRONMENTAL SCIENCES

OSTI Identifier:: 1873506

DOI:: https://doi.org/10.15486/ngt/1873506

Citation Formats


                    Martinuzzi, Sebastian, Cook, Bruce, Helmer, Eileen, Keller, Michael, Locke, Dexter, Marcano-Vega, Humfredo, Uriarte, Maria, and Morton, Doug. Patterns and controls on island-wide aboveground biomass accumulation in second-growth forests of Puerto Rico.  United States: N. p., 2021. 
        Web.  doi:10.15486/ngt/1873506.

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                    Martinuzzi, Sebastian, Cook, Bruce, Helmer, Eileen, Keller, Michael, Locke, Dexter, Marcano-Vega, Humfredo, Uriarte, Maria, & Morton, Doug. Patterns and controls on island-wide aboveground biomass accumulation in second-growth forests of Puerto Rico.  United States.  doi:https://doi.org/10.15486/ngt/1873506

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                    Martinuzzi, Sebastian, Cook, Bruce, Helmer, Eileen, Keller, Michael, Locke, Dexter, Marcano-Vega, Humfredo, Uriarte, Maria, and Morton, Doug. 2021.  
"Patterns and controls on island-wide aboveground biomass accumulation in second-growth forests of Puerto Rico".  United States.  doi:https://doi.org/10.15486/ngt/1873506.  https://www.osti.gov/servlets/purl/1873506. Pub date:Fri Dec 31 23:00:00 EST 2021

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@article{osti_1873506,

  title        = {Patterns and controls on island-wide aboveground biomass accumulation in second-growth forests of Puerto Rico},

  author       = {Martinuzzi, Sebastian and Cook, Bruce and Helmer, Eileen and Keller, Michael and Locke, Dexter and Marcano-Vega, Humfredo and Uriarte, Maria and Morton, Doug},

  abstractNote = {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).},

  doi          = {10.15486/ngt/1873506},

  journal      = {},

  number       = ,

  volume       = ,

  place        = {United States},

  year         = {Fri Dec 31 23:00:00 EST 2021},

  month        = {Fri Dec 31 23:00:00 EST 2021}

}

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DOI: https://doi.org/10.15486/ngt/1873506

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