Desertification and depopulation are mutually reinforcing processes that cause global socio-ecological ecosystem vulnerability through land degradation. The dehesa landscape in Spain is especially vulnerable, facing severe threats from these combined pressures and urgently needing strategic intervention. This research explores the potential of adaptive strategic planning to mitigate the socio-environmental impacts of depopulation and desertification in the rural regions of northern Extremadura, Spain, particularly focusing on the dehesa landscape. By integrating a combination of qualitative and quantitative research methods, this study analyses historical conditions and forecasts future scenarios, providing a holistic approach to environmental, ecological, social, economic, and political factors.
The use of cartography and GIS tools enhances spatial understanding and visualisation of impact distributions. The fieldwork, characterised by landscape photography and semi-structured interviews establishes a baseline understanding of the landscape’s health and land management practises. Furthermore, surveys delve deeper into community- and landscape identity, offering insights into local values and potential engagement in future scenarios.
These narratives reveal a strong community willingness to restore landscapes, dependent on clear visions for change, structured help in the form of technical knowledge of nature-based solutions, and incentives for ecosystem services. The findings suggest that an adaptive strategy, focusing on the active regeneration of the trees in the dehesa through a framework that integrates diverse actions over time, can reverse negative trends in landscape restoration. This research contributes to existing knowledge by highlighting the importance of community-engaged fieldwork and sustainable land management on a local scale to minimise effects of global processes.

With an average cheese production of 947 mln kg/year, the dairy industry (in the Netherlands) is responsible for 6.3 % of agricultural/dairy/commodity greenhouse gas (GHG) emissions in Northwestern (NW) Europe. This report brings the production of dairy and its effects on the spatiotemporal and environmental footprints. By performing a material analysis flow of an everyday consumption product-cheese, a by-product from the milk produced by cattle raised on the vast flat pasture lands in the Netherlands, we determine its harmful role in GHG emissions. Using a mixed-method approach, this study combines qualitative and quantitative analysis methodologies, extensive literature reviews, group discussions, available QGIS datasets, farmers sharing their experiences and knowledge on YouTube channels, case studies and a stakeholder interview. This led us to the formulation of a sustainable polyculture agriculture catalogue and toolbox where the dairy sector shifts from a core polluter and extractor role to a regenerative one. A future for farming is formulated where healthy soil is at the core of agricultural thinking. We outline a cow reduction spectrum resulting in opportunities for NW Europe leading to ecological improvements of the soil. Applying this toolbox to the South-Holland scale led to a multipurpose foodscape using an Integrated Crop-Livestock System (ICLS), where cows play the primary role of fertilisers of the land and secondarily, the role of milk producers. In conclusion, the research proves that the adoption of ICLS can significantly reduce GHG emissions in dairy production territories and optimise the existing land use. Implementing this system requires a shift in mindset and has significant implications for the dairy industry, policymakers and society at large. The strategy and action plan in this research seeks to inform policymakers, urban planners and other stakeholders in the dairy farming industry on how to transition towards a more regenerative and sustainable system that benefits the environment, society and the economy in the long duree. It suggests a socially just transition to the groups of farmers via a symbiotic approach.