Wool, from sheep, fine-medium and superfine, Australia
48.1
Description
Sheep wool from production Australia. The inventory is based on an example Austrailian sheep farm with the Merino breed, and considers both fine-medium and superfine wool types. The sheep are pasture grazed, and the data includes enteric methane and manure management emissions. Biophysical allocation using protein content is applied to divide the outputs of the system between meat and wool. Initial scouring phase is included.
Impacts
| Impact area | MSI Score | |
|---|---|---|
| Global Warming | 34.1 | |
| Eutrophication | 10.4 | |
| Water Scarcity | 1.1 | |
| Abiotic Resource Depletion, Fossil Fuels | 2.5 | |
| Chemistry |
Scored per material rather than production stage. Click on "Return to Material", and learn about Chemistry scoring under "Chemistry Certifications".
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Modeling Notes
Meta information
- Primary Source: Wiedemann et al. (2015). Application of life cycle assessment to sheep production systems: investigating co-production of wool and meat using case studies from major global producers" J. LCA DOI 10.1007/s11367-015-0849-z
- Last Publication or Review date: 2013
- Geography: Global/generic
- Data Generator: Cashion East, Pivot Analytics; east@pointpivot.com
Applicable Materials
| Material |
Impact
benchmarkimpactblend components
|
|---|---|
|
|
71
Insulation Material
|
|
|
82
Textiles
|
Data quality
| Data Quality | Value | Description | |
|---|---|---|---|
| Precision | Fair | 20% to 30% | 3 |
| Time Representativeness | Excellent | Data are not older than 4 years with respect to the release date or latest review date | 1 |
| Geographical Representativeness | Fair | The processes included in the dataset are sufficiently representative for the geography stated in the title and metadata | 3 |
| Technological Representativeness | Good | The technologies modeled are included in the mix of technologies covered by the dataset | 2 |
| Average | 2.25 | ||