I am interested in ways where ai techniques such as machine learning and neural networks can be implemented in biodiversity studies. Any ideas on where can collect such data sets would also be beneficial. Regards
Large studies in biodiversity and community ecology, especially combined with many environmental predictor variables, are usually analysed using different ordination methods and other complex models. These types of studies would likely benefit from machine learning methods due to the complexity and sometimes counter-intuitive situations in these systems.
AL and ML will certainly have a future in this field. You can gather data from international repository regarding biodiversity/climate/ecosystems... I suggest the reading of the article of Barbara Han on the topic: https://www.pnas.org/doi/10.1073/pnas.2220283120
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