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Global Change Biology · 2025 · Vol. 31 · Issue 10 · Wiley
Land‐use change (LUC) and agricultural management associated with crop production are responsible for 13% of global anthropogenic greenhouse gas emissions. However, the quantification of such land use emissions for specific crops remains incomplete due to the exclusion of important emission sources and limited geographic or crop coverage in previous studies. In this paper, we derive global spatially explicit land use emissions...
Global Change Biology · 2025 · Vol. 31 · Issue 8 · Wiley
Land‐use change is a major driver of biodiversity loss and a key contributor to GHG emissions, making sustainable land use essential for biodiversity preservation and climate change mitigation. The impacts of land use change are location‐specific, shaped by the biophysical context. Consequently, the extent and nature of these impacts are deeply influenced by the spatial configuration of land‐use change. This is particularly re...
Journal of Industrial Ecology · 2024 · Vol. 28 · Issue 6 · Springer
The emerging field of prospective life cycle assessment (pLCA) offers opportunities for evaluating the environmental impacts of possible future consumption shifts. One such shift involves a transition from meat‐based to plant‐forward diets, acknowledged to mitigate environmental impacts of the food system under present day conditions. Current diets are often meat intensive (“meat‐based”), whilst “plant‐forward” diets include m...
Global Change Biology · 2020 · Vol. 26 · Issue 3 · Wiley
Afforestation is considered a cost‐effective and readily available climate change mitigation option. In recent studies afforestation is presented as a major solution to limit climate change. However, estimates of afforestation potential vary widely. Moreover, the risks in global mitigation policy and the negative trade‐offs with food security are often not considered. Here we present a new approach to assess the economic poten...
Global Change Biology · 2020 · Vol. 26 · Issue 2 · Wiley
Scenario‐based biodiversity modelling is a powerful approach to evaluate how possible future socio‐economic developments may affect biodiversity. Here, we evaluated the changes in terrestrial biodiversity intactness, expressed by the mean species abundance (MSA) metric, resulting from three of the shared socio‐economic pathways (SSPs) combined with different levels of climate change (according to representative concentration p...