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Projeto de investigação
Europa Biodiversity Observation Network: integrating data streams to support policy
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Biodiversity monitoring in Europe: user and policy needs
Publication . Moersberger, Hannah; Valdez, Jose; Martin, Juliette G. C.; Junker, Jessica; Georgieva, Ivelina; Bauer, Silke; Beja, Pedro; Breeze, Tom D.; Fernandez, Miguel; Fernández, Néstor; Brotons, Lluís; Jandt, Ute; Bruelheide, Helge; Kissling, W. Daniel; Langer, Christian; Liquete, Camino; Lumbierres, Maria; Solheim, Anne Lyche; Maes, Joachim; Morán‐Ordóñez, Alejandra; Moreira, Francisco; Pe'er, Guy; Santana, Joana; Shamoun‐Baranes, Judy; Smets, Bruno; Capinha, César; McCallum, Ian; Pereira, Henrique M.; Bonn, Aletta
To achieve the goals of the 2030 Global Biodiversity Framework, the EuropeanBiodiversity Strategy, and the EU Green Deal, biodiversity monitoring is critical.Monitoring efforts in Europe, however, suffer from gaps and biases in taxon-omy, spatial coverage, and temporal resolution, resulting in fragmented anddisconnected data. To assess user and policy needs in biodiversity monitoring,we employed a four-step user-centered stakeholder engagement process withover 300 stakeholders including a public stakeholder workshop, online survey,interviews, and a meeting with experts from 18 EU member states, the EuropeanCommission, and the European Environment Agency. The stakeholders identi-fied policy needs, current challenges, and potential solutions. Based on the policyand stakeholder assessment, we recommend establishing a European Biodiver-sity Observation Coordinating Centre to optimize existing observation efforts,harmonize data, and enhance our ability to predict and respond to key challengesrelated to biodiversity loss in Europe.
Predicting the expansion of invasive species: how much data do we need?
Publication . Santana, Joana; Sillero, Neftalí; Ribeiro, Joana; Capinha, César; Lopes, Ricardo Jorge; Reino, Luís
Ecological niche models (ENMs) are a powerful tool to predict the spread of invasive alien species (IAS) and support the implementation of actions aiming to reduce the impact of biological invasions. While calibrating ENMs with distribution data from species’ native ranges can underestimate the invasion potential due to possible niche shifts, using distribution data combining species’ native and invasive ranges may overestimate the invasion potential due to a reduced fitness and environmental tolerance of species in invaded ranges. An alternative may be using the increasingly available distribution data of IAS as they spread their invaded ranges, to iteratively forecast invasions as they unfold. However, while this approach accounts for possible niche shifts, it may also underestimate the species’ potential range, particularly at the early stages of the invasion when the most suitable conditions may not yet be represented in the distribution range data set. Here, we evaluate the capacity of ENMs to forecast the distribution of IAS based on distribution data on invaded ranges as these data become available. We further use dispersion models to assess the expansion process using the predicted potential distributions. Specifically, we used the common waxbill (Estrilda astrild) in the Iberian Peninsula as a model system. We built ENMs with 10×10 km grid cells distribution records cumulatively for each decade from 1960 to 2019, and yearly bioclimatic variables, to forecast the species potential range in the coming decades. Then, we assessed the performance of the models for each decade in forecasting the species’ observed range expansion in the following decades and evaluated how the number of distribution records determined the quality of the forecasts. Finally, we performed dispersal estimates (based on species traits, topography, climate and land cover) to analyse the prediction capacity of models as their uncertainty may be reduced when projecting them to the next decades. Our results show that invasion-only ENMs successfully forecasted the species’ range expansion over three decades after invasion, while dispersion models were not important in forecasting common waxbill expansion. Our study highlights the importance of constantly monitoring alien species, suggesting that iterative updating of ENMs with observed distribution data may accurately forecast the range expansion of alien species.
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Entidade financiadora
European Commission
Programa de financiamento
H2020
Número da atribuição
101003553