The scarcity of long-term observational data has limited the use of statistical or machine-learning techniques for predicting intraannual ecological variation. However, time-stamped citizen-science observation records, supported by media data such as photographs, are increasingly available. In the present article, we present a novel framework based on the concept of relative phenological niche, using machine-le...
The scarcity of long-term observational data has limited the use of statistical or machine-learning techniques for predicting intraannual ecological variation. However, time-stamped citizen-science observation records, supported by media data such as photographs, are increasingly available. In the present article, we present a novel framework based on the concept of relative phenological niche, using machine-le...
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 use...