Joan Díaz Calafat

Biologist fond of critters and their interactions with other forms of life 🌲🌻🐝🐜
PhD student (SLU). Forest ecology, pollination and climate change.
🏳️‍🌈🐝

[Joan Díaz Calafat @JDiazCalafat]

L'abella resinera asiàtica (Megachile sculpturalis) continua la seva expansió a Mallorca. Si vols col·laborar en l'estudi de la distribució i dispersió d'aquesta espècie exòtica a Balears, envia'ns fotos a [email protected]

S'agraeix difusió!

[Joan Díaz Calafat @JDiazCalafat]

🌍 Take-home: fly pollination in boreal forests is shaped by climate and forest structure. As climates warm, local conditions (canopy cover, tree composition, microclimate) will strongly mediate how pollinators respond. Read more here: https://t.co/x5nrX5k5E8 🪰🌡️🌼🌳🌲

[Joan Díaz Calafat @JDiazCalafat]

The problem with forest understories, though, is that flowers are not available in the shadiest areas, and we really wanted to measure pollinator foraging under different light conditions.

[Joan Díaz Calafat @JDiazCalafat]

☔ Rainfall mattered: More recent rains = fewer visits. But flies increased their activity after rain events.

[Joan Díaz Calafat @JDiazCalafat]

🐝 Unlike bees, many pollinators in boreal forests are flies (Diptera, especially Muscidae, Phoridae and Syrphidae). These ectotherms depend heavily on external heat for activity.

[Joan Díaz Calafat @JDiazCalafat]

📢 New paper out in
@oikosjournal.bsky.social
! We investigated how climate🌡️, forest structure🌲🌳 and flower resources🌼🌷 shape fly pollinator foraging in boreal forest understories 🪰🪰🪰
https://t.co/x5nrX5jxOA

[Joan Díaz Calafat @JDiazCalafat]

📖 Dive into the full paper for details on methods, stats, and ecological implications! https://t.co/7JnXP3P5fv

[Joan Díaz Calafat @JDiazCalafat]

🌿 New paper alert! We used flower-based eDNA metabarcoding to uncover how forest structure and microclimate shape the diversity of flower-visiting arthropods in a Swedish boreal forest. #pollinators #eDNA

[Joan Díaz Calafat @JDiazCalafat]

🧩 Conclusions: Flower eDNA is a promising non-invasive tool for capturing arthropod–plant interactions in forest ecosystems. However, detection rates are patchy—likely influenced by flower traits, visitor behavior, and methodological nuances.