Modelling non-native tree species in Europe: Using Ecosystem Functional Attributes to improve prediction, forecasting and monitoring

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200205039

Non-native tree species play an important role in forestry worldwide, promoting several ecosystem services such as wood production, carbon sequestration, and natural hazard management. However, non-native tree species have also been a cause of concern due to the potential risk of invasion. Therefore, identifying the potential distribution of non-native tree species, as its socio-environmental drivers of that distribution, is crucial to optimize forestry production, and reforestation, monitoring, and conservation policies. Species distribution models (SDMs) are a pertinent technique as they have been widely used to predict species potential distributions, to support conservation and management strategies, and to map potential invasion risks.
Monitoring schemes aim to regularly provide standardized information on condition and trends of a suite of pre-defined indicators to support the implementation of policy instruments, identify conservation priorities, and guide adaptive management. The focus is on ensuring a representative spatial-temporal coverage of the geographic or environmental diversity of the region. However, often these schemes are ineffective in anticipating the effects of pressures or in early detection of their effects on biodiversity. In most cases, this is because they are not populated with relevant information in a regular and standardized way.