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...

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...

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...

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...

Most climate mitigation scenarios involve negative emissions, especially those that aim to limit global temperature increase to 2°C or less. However, the carbon uptake potential in land‐based climate change mitigation efforts is highly uncertain. Here, we address this uncertainty by using two land‐based mitigation scenarios from two land‐use models ( IMAGE and MA g PIE ) as input to four dynamic global vegetation models ( DGVM...

Understanding uncertainties in land cover projections is critical to investigating land‐based climate mitigation policies, assessing the potential of climate adaptation strategies and quantifying the impacts of land cover change on the climate system. Here, we identify and quantify uncertainties in global and European land cover projections over a diverse range of model types and scenarios, extending the analysis beyond the ag...

Model‐based global projections of future land‐use and land‐cover ( LULC ) change are frequently used in environmental assessments to study the impact of LULC change on environmental services and to provide decision support for policy. These projections are characterized by a high uncertainty in terms of quantity and allocation of projected changes, which can severely impact the results of environmental assessments. In this stu...