• Address:
  705 Spear Street
  South Burlington, Vermont 05403
  United States of America
  
  Phone: (802) 391-4135
  Email: femc@uvm.edu
  Website: www.uvm.edu/femc

This project analyzed inventory and harvest data from the Pisgah State Park in New Hampshire to quantify the relative quantities of storage and removals on the Park. Forest inventory data from a range of sources were assembled and analyzed for carbon storage and sequestration. Harvest volume data were assessed to quantify the amount of carbon removed in wood products from the Park. Scale slip data from trucks were used to quantify the emissions due to transport of material for a single sale. The results of this project were intended to support the New Hampshire Division of Forests and Lands in comparing the sources and sinks of carbon in the Park and the role of forest management in that.

• dataset_eml_attributelistlabel: Carbon_cost_grams

• dataset_eml_attributelistdescription: Transportation carbon cost in grams

• dataset_eml_attributeliststoragetype: decimal

• dataset_eml_attributelistmeasurementtype: ordinal
• Unit: gram

• dataset_eml_attributelistlabel: Carbon_cost_Mg

• dataset_eml_attributelistdescription: Transportation carbon cost in Megagram

• dataset_eml_attributeliststoragetype: decimal

• dataset_eml_attributelistmeasurementtype: ordinal
• Unit: megagram

• dataset_eml_attributelistlabel: carbon_transportation_factor_

• dataset_eml_attributeliststoragetype: decimal

• dataset_eml_attributelistlabel: distance_miles

• dataset_eml_attributelistdescription: Transportation distance

• dataset_eml_attributeliststoragetype: decimal

• dataset_eml_attributelistmeasurementtype: ordinal
• Unit: mile

• dataset_eml_attributelistlabel: location_code

• dataset_eml_attributelistdescription: Location

• dataset_eml_attributeliststoragetype: text

• dataset_eml_attributelistmeasurementtype: nominal

• dataset_eml_attributelistlabel: location_coordinates

• dataset_eml_attributelistdescription: Location coordinates, Latitude and Longitude

• dataset_eml_attributeliststoragetype: text

• dataset_eml_attributelistmeasurementtype: nominal

• dataset_eml_attributelistlabel: location_discription

• dataset_eml_attributelistdescription: Description of the location

• dataset_eml_attributeliststoragetype: text

• dataset_eml_attributelistmeasurementtype: nominal

• dataset_eml_attributelistlabel: Notes

• dataset_eml_attributeliststoragetype: text

• dataset_eml_attributelistmeasurementtype: nominal

• dataset_eml_attributelistlabel: tons

• dataset_eml_attributelistdescription: Harvested volume

• dataset_eml_attributeliststoragetype: decimal

• dataset_eml_attributelistmeasurementtype: ordinal
• Unit: ton

• dataset_eml_attributelistlabel: Year

• dataset_eml_attributeliststoragetype: int

• NHDFL detailed scale slip data
  • dataset_eml_methoddescription: NHDFL provided detailed scale slip data for a single timber sale, including the origin and destination for each load of material removed from the site (NHDFL 2021b). The sale was harvested between 2019 and 2021, and the area of harvest totaled 138 ac. With this data, we estimated the carbon removed in harvested material using the same methods as above, as well as the carbon emissions resulting from transportation of the harvested material to processing facilities.

• Calculating relative carbon cost of transport
  • dataset_eml_methoddescription: The primary methodology employed in calculating the relative carbon cost of transportation from mileage followed the standards put forward by the US Environmental Protection Agency (EPA). Each trip’s emissions were estimated based on individual scale slip data. The primary calculation is an adaptation of carbon dioxide emissions from trucking (EPA 2003, see also Mathers et al. 2015) to the chemical carbon component weight: Transportation C (grams)= Distance (Miles)× Weight (Short Tons)× Emissions Factor× (Molecular weight C)/(Molecular weight CO2)

• Distance
  • dataset_eml_methoddescription: Distance was derived using Google’s Distance Matrix API , using estimated location coordinates from loading, and unloading locations. Location coordinates were estimated using information provided about the mill (the mill code) and publicly available information on the business location. Where possible satellite imagery was used to identify the coordinates of the likely mill yard. When this wasn’t available, the geographic center of the town in which the mill operates was used.

• Harvested Material Weights
  • dataset_eml_methoddescription: Harvested material weights were provided for all transported products from 09/16/19 to 04/08/21. Using species level average weight (Miles 2009) and standard conversion methodology (NHDRA 2011) short tons were estimated for each haul recorded in MBF. This conversion was not necessary for pulp transportations, as they are already in short ton units.

• Emission factor
  • dataset_eml_methoddescription: The emissions factor is derived from EPA SmartWay: Shipper Partner Tool’s technical documentation (EPA 2013), and is the same methodology employed by the Environmental Defense Fund as described in their Green Freight Handbook (Mathers et al. 2015). We utilized an emissions factor of 161.8, which is the average emissions factor for truck models, as the models of trucks used in hauling were not specified in the scale data.