Maps of Puerto Rico and Virgin Islands forest functional groups, biomass, height, and species counts (2001-2008) and satellite image composites (1980-2000)

Metadata:

Spatial_Data_Organization_Information:

Direct_Spatial_Reference_Method: Raster

Raster_Object_Information:

Raster_Object_Type: Pixel

Spatial_Reference_Information:

Horizontal_Coordinate_System_Definition:

Planar:

Grid_Coordinate_System:

Grid_Coordinate_System_Name: Universal Transverse Mercator

Universal_Transverse_Mercator:

UTM_Zone_Number: 19

Transverse_Mercator:

Scale_Factor_at_Central_Meridian: 0.9996

Longitude_of_Central_Meridian: -69

Latitude_of_Projection_Origin: 0

False_Easting: 500000

False_Northing: 0

Planar_Coordinate_Information:

Planar_Coordinate_Encoding_Method: Coordinate Pair

Coordinate_Representation:

Abscissa_Resolution: 28.5

Ordinate_Resolution: 28.5

Planar_Distance_Units: Meters

Geodetic_Model:

Horizontal_Datum_Name: World Geodetic System of 1984

Ellipsoid_Name: World Geodetic System of 1984

Semi-major_Axis: 6378137.0000

Denominator_of_Flattening_Ratio: 298.257224

Entity_and_Attribute_Information:

Overview_Description:

Entity_and_Attribute_Overview:

Below you will find a list and description of the files included in this data publication.

VARIABLE DESCRIPTION FILE (1)

1. \Data\_variable_descriptions.csv: Comma-separated values (CSV) file containing a list and description of variables found in all data files. (A description of these variables is also provided in the metadata below.)

Columns include:

Filename = Name of data file
Variable = Name of variable
Description = Description of variable


DATA FILES (49)
All data files are ERDAS IMAGINE (IMG) georeferenced raster files.

Cubist Model Data Files

1. \Data\Cubist\Helmer_et_al_2018_cubist_aboveground_live_dry_biomass.img: Modeled distributions of aboveground live dry biomass measured in megagrams per hectare (metric tons per hectare) using the Cubist model.

2. \Data\Cubist\Helmer_et_al_2018_cubist_basal_area.img: Modeled distributions of basal area measured in square meters per hectare using the Cubist model.

3. \Data\Cubist\Helmer_et_al_2018_cubist_chartaceous.img: Modeled distributions of chartaceous species measured in percent basal area using the Cubist model.

4. \Data\Cubist\Helmer_et_al_2018_cubist_coriaceous.img: Modeled distributions of coriaceous species measured in percent basal area using the Cubist model.

5. \Data\Cubist\Helmer_et_al_2018_cubist_deciduous.img: Modeled distributions of deciduous and facultative species measured in percent basal area using the Cubist model.

6. \Data\Cubist\Helmer_et_al_2018_cubist_deciduous_nitrogen_fixing.img: Modeled distributions of deciduous nitrogen-fixing species measured in percent basal area using the Cubist model.

7. \Data\Cubist\Helmer_et_al_2018_cubist_endemic.img: Modeled distributions of endemic species measured in percent basal area using the Cubist model.

8. \Data\Cubist\Helmer_et_al_2018_cubist_endemic_number.img: Modeled distributions of number of endemic species measured in trees per hectare area using the Cubist model.

9. \Data\Cubist\Helmer_et_al_2018_cubist_evergreen.img: Modeled distributions of evergreen species measured in percent basal area using the Cubist model.

10. \Data\Cubist\Helmer_et_al_2018_cubist_evergreen_coriaceous.img: Modeled distributions of evergreen coriaceous species measured in percent basal area using the Cubist model.

11. \Data\Cubist\Helmer_et_al_2018_cubist_evergreen_to_near_deciduous.img: Modeled distributions of evergreen-to-near-deciduous species measured in percent basal area using the Cubist model.

12. \Data\Cubist\Helmer_et_al_2018_cubist_height.img: Modeled distributions of average tree heights in meters using the Cubist model.

13. \Data\Cubist\Helmer_et_al_2018_cubist_introduced.img: Modeled distributions of introduced species measured in percent basal area using the Cubist model.

14. \Data\Cubist\Helmer_et_al_2018_cubist_introduced_number.img: Modeled distributions of introduced species measured in trees per hectare using the Cubist model.

15. \Data\Cubist\Helmer_et_al_2018_cubist_native.img: Modeled distributions of native species measured in percent basal area using the Cubist model.

16. \Data\Cubist\Helmer_et_al_2018_cubist_native_number.img: Modeled distributions of native species measured in trees per hectare using the Cubist model.

17. \Data\Cubist\Helmer_et_al_2018_cubist_nitrogen_fixing.img: Modeled distributions of nitrogen-fixing species measured in percent basal area using the Cubist model.

18. \Data\Cubist\Helmer_et_al_2018_cubist_non_nitrogen_fixing.img: Modeled distributions of non-nitrogen-fixing species measured in percent basal area using the Cubist model.

19. \Data\Cubist\Helmer_et_al_2018_cubist_Prestoea_acuminata.img: Modeled distributions of Prestoea acuminata as measured by percent basal area using the Cubist model.

20. \Data\Cubist\Helmer_et_al_2018_cubist_Spathodea_campanulata.img: Modeled distributions of Spathodea campanulata as measured by percent basal area using the Cubist model.

21. \Data\Cubist\Helmer_et_al_2018_cubist_subcoriaceous.img: Modeled distributions of subcoriaceous species measured in percent basal area using the Cubist model.

22. \Data\Cubist\Helmer_et_al_2018_cubist_trees_per_hectare.img: Modeled distributions of the number of trees per hectare using the Cubist model.


Imagery and Geology Data Files

23-26. \Data\Imagery_and_Geology\YYYY_mosaic_scene_extents_final.img: IMG georeferenced raster files (4) containing the extent of each Landsat scene that makes up the YYYY composite, where YYYY = 1980, 1985, 1990, 2000.

Attributes include:

OID = Internal feature numbers generated automatically by Esri
Value = Unique identifier generated automatically by Esri
Count = Value pixel count
Red = RGB colormap code
Green = RGB colormap code
Blue = RGB colormap code
Opacity = RGB colormap code
Scene Date = Date the Landsat imagery was taken


27. \Data\Imagery_and_Geology\geology.img: IMG georeferenced raster file containing a map of geologic substrate.

Attributes include:

OID = Internal feature numbers generated automatically by Esri
Value = Unique identifier generated automatically by Esri
Red = RGB colormap code
Green = RGB colormap code
Blue = RGB colormap code
Count = Value pixel count
Short_name = Geology category type identifier
Opacity = RGB colormap code
Class_Names = Geology descriptive category type identifier


28-31. \Data\Imagery_and_Geology\landsat_mosaic_YYYY_with_mona.img: IMG georeferenced raster file containing Landsat MSS multispectral bands of cloud-minimized image composite centered on YYYY, where YYYY = 1980, 1985, 1990, 2000.


32. \Data\Imagery_and_Geology\spot_panchromatic_no_clouds.img: IMG georeferenced raster file containing SPOT panchromatic image composite for the year 1995 from normalizing image sections with linear regression.

Attributes include:

OID = Internal feature numbers generated automatically by Esri
Value = Unique identifier generated automatically by Esri
Count = Value pixel count


33. \Data\Imagery_and_Geology\spot_scene_extents_updated.img: IMG georeferenced raster file containing the extent of each SPOT scene that makes up the 1995 composite.

Attributes include:

OID = Internal feature numbers generated automatically by Esri
Value = Date that the SPOT imagery was taken
Count = Value pixel count
Red = RGB colormap code
Green = RGB colormap code
Blue = RGB colormap code
Opacity = RGB colormap code


PGNN Model Data Files

34. \Data\PGNN\Helmer_et_al_2018_PGNN_aboveground_live_dry_biomass.img: Modeled distributions of aboveground live dry biomass measured in megagrams per hectare (metric tons per hectare) using the PGNN model.

35. \Data\PGNN\Helmer_et_al_2018_PGNN_Acacia_farnesiana.img: Modeled distributions of Acacia farnesiana as measured by percent basal area using the PGNN model.

36. \Data\PGNN\Helmer_et_al_2018_PGNN_Bourriera_succulenta.img: Modeled distributions of Bourriera succulenta as measured by percent basal area using the PGNN model.

37. \Data\PGNN\Helmer_et_al_2018_PGNN_Bursera_simaruba.img: Modeled distributions of Bursera_simaruba as measured by percent basal area using the PGNN model.

38. \Data\PGNN\Helmer_et_al_2018_PGNN_Cecropia_schreberiana.img: Modeled distributions of Cecropia schreberiana as measured by percent basal area using the PGNN model.

39. \Data\PGNN\Helmer_et_al_2018_PGNN_Citrus_sinensis.img: Modeled distributions of Citrus sinensis as measured by percent basal area using the PGNN model.

40. \Data\PGNN\Helmer_et_al_2018_PGNN_Coccoloba_diversifolia.img: Modeled distributions of Coccoloba diversifolia as measured by percent basal area using the PGNN model.

41. \Data\PGNN\Helmer_et_al_2018_PGNN_Cordia_alliodora.img: Modeled distributions of Cordia alliodora as measured by percent basal area using the PGNN model.

42. \Data\PGNN\Helmer_et_al_2018_PGNN_Guapira_fragrans.img: Modeled distributions of Guapira fragrans as measured by percent basal area using the PGNN model.

43. \Data\PGNN\Helmer_et_al_2018_PGNN_Guarea_guidonia.img: Modeled distributions of Guarea guidonia as measured by percent basal area using the PGNN model.

44. \Data\PGNN\Helmer_et_al_2018_PGNN_Inga_laurina.img: Modeled distributions of Inga laurina as measured by percent basal area using the PGNN model.

45. \Data\PGNN\Helmer_et_al_2018_PGNN_Melicoccus_bijugatus.img: Modeled distributions of Melicoccus bijugatus as measured by percent basal area using the PGNN model.

46. \Data\PGNN\Helmer_et_al_2018_PGNN_Ocotea_leucoxylon.img: Modeled distributions of Ocotea leucoxylon as measured by percent basal area using the PGNN model.

47. \Data\PGNN\Helmer_et_al_2018_PGNN_Prestoea_acuminata.img: Modeled distributions of Prestoea acuminata as measured by percent basal area using the PGNN model.

48. \Data\PGNN\Helmer_et_al_2018_PGNN_Roystonea_borinquena.img: Modeled distributions of Roystonea borinquena as measured by percent basal area using the PGNN model.

49. \Data\PGNN\Helmer_et_al_2018_PGNN_Spathodea_campanulata.img: Modeled distributions of Spathodea campanulata as measured by percent basal area using the PGNN model.


SUPPLEMENTAL FILES (1)

1. \Supplements\ForestCharacteristics_CorrCoeff_AvgAbsError.pdf: Portable Document Format (PDF) file containing correlation coefficients and average absolute error information for the Cubist and PGNN models.

Entity_and_Attribute_Detail_Citation:

Helmer, Eileen H.; Ruzycki, Thomas S.; Wilson, Barry T.; Sherrill, Kirk R.; Lefsky, Michael A.; Marcano-Vega, Humfredo; Brandeis, Thomas J.; Erickson, Heather E.; Ruefenacht, Bonnie. 2018. Tropical deforestation and recolonization by exotic and native trees: Spatial patterns of tropical forest biomass, functional groups, and species counts and links to stand age, geoclimate, and sustainability goals. Remote Sensing. 10(11): 1724. https://doi.org/10.3390/rs10111724 and https://www.fs.usda.gov/research/treesearch/57626

Metadata_Reference_Information:

Metadata_Date: 20231113

Metadata_Contact:

Contact_Information:

Contact_Organization_Primary:

Contact_Organization: USDA Forest Service, International Institute of Tropical Forestry

Contact_Person: Eileen H. Helmer

Contact_Position: Principal Investigator

Contact_Address:

Address_Type: mailing and physical

Address: 240 West Prospect Road

City: Fort Collins

State_or_Province: CO

Postal_Code: 80526

Country: USA

Contact_Voice_Telephone: 970-498-2644

Contact_Facsimile_Telephone: 970-498-1212

Contact_Electronic_Mail_Address: eileen.helmer@usda.gov

Hours_of_Service: M-F 8-5 MT

Contact Instructions: Phone or email

Contact Instructions: This contact information was current as of original publication date. For current information see Contact Us page on: https://doi.org/10.2737/RDS.

Metadata_Standard_Name: FGDC Biological Data Profile of the Content Standard for Digital Geospatial Metadata

Metadata_Standard_Version: FGDC-STD-001.1-1999