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Agroforestry as a sustainable land use option to reduce wildfires risk in European Mediterranean areas

handle: 20.500.14243/362844
Wildfires have always been an integral part of the ecology of many terrestrial ecosystems, but their frequency is increasing in many parts of the world. Wildfires were once a natural phenomenon, but after humans learned to control fire, it has been used as a management tool to increase soil fertility, to regenerate natural vegetation for grazing and to control competing vegetation. However, currently uncontrolled wildfires threaten not only natural vegetation, landscape biodiversity, communities and economies, but they also release large amounts of carbon dioxide, thus contributing to global temperature increase. Higher temperatures and drier summers have increased the risk of wildfires in biodiversity rich areas of European Mediterranean countries and have resulted in human casualties. The aim of this article is to investigate whether agroforestry, the practice of integrating woody vegetation and agricultural crops and/or livestock, could be a management tool to reduce wildfires in European Mediterranean countries. Fire events from 2008 to 2017 and data of land cover and land use were spatially correlated. Results indicated that agroforestry areas had fewer wildfire incidents than forests, shrublands or grasslands, providing evidence of the potential of agroforestry to reduce fire risk and protect ecosystems.
- National Research Council Italy
- Πανεπιστήμιο Κρήτης – Τμήμα Βιολογίας Greece
- University of Lisbon Portugal
- National Academies of Sciences, Engineering, and Medicine United States
- Cranfield University United Kingdom
vegetation types, land uses, Vegetation types, 333, Ecosystems, Management, climate change, Climate change, Land uses, ecosystems, management
vegetation types, land uses, Vegetation types, 333, Ecosystems, Management, climate change, Climate change, Land uses, ecosystems, management
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).58 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Top 1% influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Top 10% impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Top 1%
