Wood chips, beech; wet, manual harvest, hardwood forestry; at forest road

Reference flow
1 kg DM
Location
France (FR)
Reference year
2017
Technological Quality Level
Fair
Geographical Quality Level
Fair
Time Quality Level
Fair

Product name

Wood chips, beech; wet, manual harvest, hardwood forestry; at forest road

Reference flow

1 kg DM

 

System boundaries

The dataset represents manual harvest of beech in France. The dataset covers stand establishment (production of seedlings in an unheated greenhouse and planting), tending and cleaning, thinning, manual final harvest and chipping. Construction and maintenance of infrastructure, like machinery and forest roads, are included. The system ends with wood chips at forest road. The activities over one rotation period are included. 

The activity starts with site preparation assuming establishment of the forest via planting, including seedling production and covers all process related to forest management, including site preparation, planting, tending, young growth tending, clearing, thinning, and harvesting operations including the processing of wood fuel to chips, bundles and chopped wood (logs for energy) over one rotation period. It also covers the maintenance and construction of forest roads. This activity ends with the assortments at the forest road and includes eventual drying before transportation.

Wastes and end-of-life

 

 

Use advice of the dataset

The dataset should be used to analyze the impact from beech wood chips that originate from thinning operations in France. Measured as dry mass

 

Technology description

For the chipping in the stand, a productivity of 25 m3 bulked/PMH is assumed (based on Cremer & Velazquesz). For wood chips chipped in the stand, a productivity of the forwarding of 70 Sm3 bulked/PMH with a diesel consumption of 9.5 l/h of the forwarder is assumed. 24.4% thinning (mechanical) and 76.6% (manual) final harvest

 

Quality level

Fair

 

Location

France (FR)

 

Geographical representativeness description

The dataset is based on dataset on harvest of hardwood in Germany from Wernet et al. (2016). The dataset has been adjusted to reflect beech forests, and beech forest management in France. The adjustments include changes in the harvesting methods to mirror the relative share of manual harvesting vs mechanized harvesters in the eastern parts on France, the allocation between clear-cut and thinning, and the area used for different practices (Pelletier, 2017).  

 

Quality level

Fair

 

Reference year

2017

 

Time representativeness description

Data represent 2017 for the specifications of French beech management while original ecoinvent data are largely based on a data source from 2009. Data are still considered representative due to small developments in forest management and harvest operations.

 

 

Time quality level

Fair

 

LCI method principle

Attributional

 

Other comments on methods approaches

 

Cut off for mass or energy flows

All known inputs are included.

 

Data treatment and extrapolations principles

In communication with French Institute of Technology for Forest-based and Furniture Sectors (FCBA), it was recommended to use the ecoinvent (v3.8) dataset for beech from Germany as representative for beech from the eastern parts of France. The ecoinvent database provides well documented process data and is widely used in Europe. The data set “hardwood forestry, beech, sustainable forest management” was selected. This dataset covers the production and harvesting of 1 m3 of stemwood, beech, solid, under bark, plus the relative share of energy wood from slash from sustainable forest management as the prevailing management practices in Germany (Wernet et al., 2016). Changes were made to allocation principles, harvesting regimes, and area used to reflect French beech forestry (Pelletier, 2017).

Data collection period

2017 – 2021

 

Data set generator

Andreas Brekke

 

References

Cremer, T. and B. Velazques-Marti (2007): Evaluation of two harvesting systems for the supply of woodchips in Norway spurce forest affected by bark beetle. Croation Journal of Forest Engineering, 28(2): 145-155.

Pelletier, C. (2017). Analyse environnementale et économique des filières bois-énergie. Université de Lorraine, Retrieved from https://tel.archives-ouvertes.fr/tel-01765854/document (2017LORR0331)

Wernet, G., Bauer, C., Steubing, B., Reinhard, J., Moreno-Ruiz, E., & Weidema, B. (2016). The ecoinvent database version 3 (part I): overview and methodology. The International Journal of Life Cycle Assessment, 21(9), 1218-1230. doi:10.1007/s11367-016-1087-8

Access and use restrictions

Open

 

Download dataset

Choose format

NorEnviro er etablert i regi av NORSUS og NMBU og har som mål å øke bruk og gjenbruk av LCA-data. Dette gjennom å tilrettelegge for at LCA-data fra flere FOU- miljøer og bedrifter blir tilgjengeliggjort.

LCA-data blir brukt i LCA studier for å analysere miljøpåvirkninger av produkter, produktsystemer og tjenester. Dataene er publisert som en inventar (for LCA eksperter) eller som en LCA resultat (for bedrifter)

SØK I LCA-DATA

NorEnviro skal også være en arena som brukere og kunder av miljø- og ressursdata oppsøker for å finne frem til og få tilgang til data og kompetanse, og dermed gjøre det lettere å finne frem i jungelen av miljø- og ressursdata.

KATEGORIER

Søk i LCA-Data

Søk