Maximum carbon assimilation model for understory wood plants growing at Bagley Nature Area in Duluth, MN

Dataset

Description

Abstract
These data were collected and analyzed for a project comparing the leaf phenology, carbon gain, growth, and freezing susceptibility of invasive and native species. Maximum seasonal carbon assimilation was modeled for six plants per eight species growing in a 50-year-old mixed forest. The model is based on understory light availability on sunny days, carbon dioxide assimilation rates, and leaf area adjusted in the spring for expanding leaves and in the fall for senescing leaves.

Description
There is one readme file, one R file, and six CSV files. The R file contains code modeling maximum seasonal carbon assimilation for understory shrubs. All six CSV files are required inputs for the R code and contain data that are referenced throughout the model. The CSV files include data on leaf phenology, photosynthetic light response curves, and understory light.

Funding information
Sponsorship: National Science Foundation (IOS:1656318); University of Minnesota – Duluth; Integrated Biosciences Graduate Program
Date made available2020
PublisherData Repository for the University of Minnesota
Date of data productionFeb 16 2017 - Nov 11 2018

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