Modeling plant phenology database: Blending near-surface remote phenology with on-the-ground observations

Overview upon data integration and time series extraction from near-surface images and on-the-ground phenological observations

Overview upon data integration and time series extraction from near-surface images and on-the-ground phenological observations

The study of recurrent life cycles events and its relationship to climate, plant phenology, handles multifaceted information that needs to be organized and made promptly accessed by scientific community. In this paper, the authors propose the conceptual design and implementation of a database to store, manage, and manipulate phenological time series and associated ecological information and environmental data.

The database successfully integrates plant based phenological observation, ecological characteristics at individual and species level such as pollination or dispersal syndrome, flower and fruit color, leaf exchange strategy, and many other plants attributes. The model is freely available for download from the e-phenology project home page.

In order to demonstrate its effectiveness, two case studies were conducted. They confirm the expectations about the requirements to the database modeling process and demonstrate the wide potential to solve the e-phenology project questions and any other general query for phenology studies.


Greice C. Mariano, Leonor Patricia C. Morellato, Jurandy Almeida, Bruna Alberton, Maria Gabriela G. de Camargo, Ricardo da S. Torres, Modeling plant phenology database: Blending near-surface remote phenology with on-the-ground observations, Ecological Engineering, Volume 91, June 2016, Pages 396-408, ISSN 0925-8574, http://dx.doi.org/10.1016/j.ecoleng.2016.03.001.

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