Macrophenological dynamics from citizen science plant occurrence data

Macrophenological dynamics from citizen science plant occurrence data

Abstract Phenological shifts across plant species is a powerful indicator to quantify the effects of climate change. Today, mobile applications with automated species identification open new possibilities for phenological monitoring across space and time. Here, we introduce an innovative spatio‐temp...

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Bibliographic Details
Main Authors: Karin Mora, Michael Rzanny, Jana Wäldchen, Hannes Feilhauer, Teja Kattenborn, Guido Kraemer, Patrick Mäder, Daria Svidzinska, Sophie Wolf, Miguel D. Mahecha
Format: Article
Language:English
Published: Wiley 2024-08-01
Series:Methods in Ecology and Evolution
Subjects:
citizen science
Isomap
machine learning
macroecology
macrophenology
nonlinear dimension reduction
Online Access:https://doi.org/10.1111/2041-210X.14365

Internet

https://doi.org/10.1111/2041-210X.14365

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