TY - DATA T1 - Dataset for: Parameterization and validation of a resource budget model for masting using spatiotemporal flowering data of individual trees PY - 2017/05/25 AU - Tomoyuki Abe AU - Yuuya Tachiki AU - Hirokazu Kon AU - Akiko Nagasaka AU - Kensuke Onodera AU - Kazuhiro Minamino AU - Qingmin Han AU - Akiko Satake UR - https://wiley.figshare.com/articles/dataset/Dataset_for_Parameterization_and_validation_of_a_resource_budget_model_for_masting_using_spatiotemporal_flowering_data_of_individual_trees/5039267 DO - 10.6084/m9.figshare.5039267.v1 L4 - https://ndownloader.figshare.com/files/8523113 KW - clustering KW - mast seeding KW - pollen coupling KW - Fagus crenata KW - reproduction KW - nitrogen KW - carbon KW - synchrony KW - resource allocation KW - climatic cue KW - Evolutionary Biology KW - Ecology N2 - Synchronized and fluctuating reproduction by plant populations, called masting, is widespread in diverse taxonomic groups. Here, we propose a new method to explore the proximate mechanism of masting by combining spatiotemporal flowering data, biochemical analysis of resource allocation, and mathematical modeling. Flowering data of 170 trees over 13 years showed the emergence of clustering with trees in a given cluster mutually synchronized in reproduction, which was successfully explained by resource budget models. Analysis of resources invested in the development of reproductive organs showed that parametric values used in the model are significantly different between nitrogen and carbon. Using a fully parameterized model, we showed that the observed flowering pattern is explained only when the interplay between nitrogen dynamics and climatic cues was considered. This result indicates that our approach successfully identified resource type-specific roles on masting and that the method is suitable for a wide range of plant species. ER -