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Biology subjects

Bajocco, S.

Publications and source records attributed to Bajocco, S..

2 recordsLinked to original sources

Rocking around the pheno-clock: bridging vegetation phenology and chronobiology

Plant phenology controls resource acquisition, survival and reproductive success, yet it is still commonly reduced to a limited set of calendar-based metrics, such as discrete dates of budburst or senescence. By contrast, chronobiology quantifies biological rhythms from full activity profiles using metrics that capture timing, regularity and amplitude of rest-activity cycles. Here, we bridge these two perspectives by developing a pheno-clock framework that translates plant phenology into chrono-ecological properties. We applied actigraphy-inspired metrics to multi-year satellite time series of European beech (Fagus sylvatica) forests across their European range. From daily photothermal activity profiles, we derived indices describing the strength, fragmentation and amplitude of annual rest-activity rhythms and related them to classical phenological metrics and regional climate. Our results reveal a marked asymmetry between spring and autumn phenology, indicating that canopy decline is governed by the cumulative organization of annual energy input, whereas canopy activation is dominated by short-term forcing. Across biogeographical regions, beech forests segregate into distinct pheno-chronotypes that differ in the timing and consolidation of rest and activity phases rather than in growing-season length alone. These chrono-ecological patterns suggest that climate filters not only when forests grow, but also how they structure their annual rhythmicity. By importing chronobiology into plant phenology, the pheno-clock framework provides a transferable approach to describe and compare seasonal strategies in plants, opening new avenues to link phenological diversity, functional traits and ecosystem responses to environmental change.

ecology↗

Releasing the octoPus, an open-source digital tool to promote Integrated Pest Management

Meeting the EU targets to halve chemical pesticide use by 2030 necessitates European farmers to adopt Integrated Pest Management principles as the standard. Decision support systems are valuable tools to meet this target and rely on individual disease models to identify conducive conditions to fungal infections. These models are often proprietary assets of digital startups and agrochemical companies, leading to a lack of transparency for farmers and a bias towards chemical solutions over sustainable practices. We present octoPus, the first free digital tool designed to support the control of primary infections of grapevine downy mildew, and we evaluate its performance and behavior on a wide set of environmental conditions and agricultural contexts. We implemented eight models from scientific articles (Rule310, Laore, EPI, IPI, DMcast, UCSC, Misfits, Magarey, the "tentacles"), and evaluated them across Italian grapevine areas from 2001 to 2020. Model outputs were integrated with phenology and susceptibility models (the "eyes"), which were calibrated using data from regional extension services bulletins. The simulated infections serve as predictors in a Random Forest algorithm ("brain") that elaborates an overall risk level (very low to very high). The Llama large language model is used to generate user-supportive messages (the "mouth"). octoPus is released as an open-source software, which reads weather data, executes the models, and presents outputs in natural language and symbolic syntax. Our results showed reasonable accuracy in simulating grapevine phenology (RMSE = 9-10 days) and seasonal risk (RMSE {approx} 0.75). The infection models consistently identified a moisture and thermal north-south suitability gradient in Italy and accurately detected years with low or high downy mildew pressure. However, the models displayed significant differences in the number and dynamics of simulated infections, with two distinct patterns within the ensemble. By developing and releasing the first free and open-source tool to support the control of grapevine downy mildew, we address a critical gap in the availability and transparency of decision support systems for European farmers. Unlike proprietary models that often lack transparency and may favor agribusiness logic, octoPus provides a comprehensive and accessible alternative that promotes Integrated Pest Management practices. We propose the adoption of octoPus by plant health authorities to identify areas for performance refinement and capabilities expansion.

ecology↗