Global biomass flows driven by the bioeconomy and their land footprint and biodiversity impacts Martin Bruckner, ICABR Conference, 18.06.2015 Günther Fischer.

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Presentation transcript:

Global biomass flows driven by the bioeconomy and their land footprint and biodiversity impacts Martin Bruckner, ICABR Conference, Günther Fischer (IIASA), Mark Huijbregts (RU), Henrique Pereira (idiv), Karlheinz Erb (SEC)

Hybrid Biomass Accounting Model LANDFLOW + EXIOBASE  LANDFLOW Global biomass flow accounting model  Based on FAO Commodity Balances  EXIOBASE 3 Multi-regional input-output (MRIO) model  Processing ‘other uses’ only Other uses

Land and biodiversity footprint  Land footprint: direct model output based on national yields from FAOSTAT  Biodiversity footprint: Aggregate extinction risk potential (ERP) for 148 carnivorous mammals calculated for 16 land use sectors and 46 regions. The ERP assessment is based on Population Viability Analysis, which assesses the extinction risk of a species based on a limited number of wildlife demographic parameters, such as diet group and body size.

Results – Land use Global land use for the production of crop-based non- food biomass, per crop in 1000 ha Note: In 2010 the required land amounts to 10% of globally available cropland.

Results – Land use Global land use for the production of crop-based non- food biomass, per region in 1000 ha

Results – Land use From production to consumption, in 1000 ha in 1995 and 2010 (lighter/darker bars) Note: 20% of the EU’s cropland necessary to satisfy consumption!

Results – Land use EU imports in 2010, in 1000 ha

Results – Biodiversity Extinction risk potential (ERP) due to EU consumption of crop-based non-food biomass, in % This equals 10% of the total ERP caused by global production of crop-based non- food biomass.

Results – Biodiversity ERP in Indonesia due to EU consumption of crop-based non- food biomass in 2010

Results – Biodiversity ERP in Brazil due to EU consumption of crop-based non-food biomass in 2010

Next steps  Commodities: Include animal and forestry products into the analysis  Regions: Higher regional detail for RoAfrica & RoAsia  Indicators:  Loss of bird species related with the production of non- food biomass  Deforestation footprint  Scenario analysis: Potential impacts of future bioeconomy scenarios

Questions welcome! Martin Bruckner Vienna University of Economics and Business Institute for Ecological Economics

Multi-regional input–output table Country 1Country 2Final demand ( y ) Total output ( X ) Agriculture ( z i1. ) Industry ( z i2. ) Services ( z i3 ) Agriculture ( z i1. ) Industry ( z i2. ) Services ( z i3 ) C1C2 Country 1 Agriculture ( z 1j )  Industry ( z 2j )  Services ( z 3j )  Country 2 Agriculture ( z 1j )  Industry ( z 2j )  Services ( z 3j )  Domestic economy International trade