Autoria: REINHARD, J.; DE WEERT, L.; NOVAES, R. M. L.; SALIM, I. C.

Resumo: Abstract: Land use change (LUC), or land conversion, is responsible for 10% of global greenhouse gas (GHG) emissions, and 80% of biodiversity loss. The vast majority of land conversion worldwide is driven by agricultural expansion over natural ecosystems: forests, savannas, prairies and wetlands. Despite being a central contributor to the corporate carbon footprint of most food companies, LUC is likely the most poorly quantified life cycle stage in the LCA of agricultural and food products. Statistical LUC (sLUC) approaches derived from country-level statistics can be assessed using tools like the LUC Impact tool by Blonk Sustainability, which relies on FAOSTAT data. The strength of sSLUC based on country-level data is its global scalability across commodities, but it faces certain challenges in terms of precision, which hinders actionable insights to address land conversion in food supply chains. Recently, novel LUC assessment approaches based on high-resolution geospatial data have emerged, shedding light on the spatial and temporal variability of LUC events and related impacts. Orbae (orbae.eco) by AdAstra Sustainability and BRLUC (brluc.cnpma.embrapa.br) by Embrapa are the most prominent examples of such approaches, revealing direct LUC (dLUC) in any farm, sourcing region or jurisdiction (jJdLUC) in their purview. Built out of publicly available, peer-reviewed information, they unlock new opportunities to intervene in the most complex and opaque food supply chains.

Ano de publicação: 2024

Tipo de publicação: Resumo em anais e proceedings

Unidade: Embrapa Meio Ambiente

Palavras-chave: Carbono, Efeito Estufa, Environmental impact, Greenhouse gas emissions, Impacto Ambiental, Land use change, Uso da Terra