Data on native tree diversity (species richness and phylogenetic), biomass, relative density, tree height, and invasive plants in forests of the eastern USA

Listed in Datasets

By Basil Iannone1, Kevin Potter2, Qinfeng Guo3, Insu Jo1, Christopher Oswalt3, Songlin Fei1

1. Purdue University 2. North Carolina State University 3. USDA Forest Service

The data published here are used to investigate the drivers of this heterogeneity in the context of known contributions of native trees to the resistance of forests in the eastern United States of America to plant invasions.

Version 1.0 - published on 15 Nov 2018 doi:10.4231/R7GX48TW - cite this Content may change until committed to the archive on 15 Dec 2018

Licensed under CC0 1.0 Universal

Description

Here we provide two datasets, which are used in the paper by Iannone et al. 2018 "Environmental harshness drives spatial heterogeneity in biotic resistance" published in Neobiota.  Both are provided as a separate tab in a single Excel spreadsheet.  The “Info” tab provides more detail on both. 

The first dataset, “FIA_Plot_Data”, was collected as part of the U.S. Forest Inventory Analysis Program (USDA, Forest Service; https://apps.fs.usda.gov/fia/datamart/).  It provides locations (e.g. coordinates, ecological sections, States, Counties, etc.), maximum tree height, metrics of native tree diversity (species richness and four separate metrics of evolutionary diversity), native tree biomass and relative density, invasive plant species richness and cover, and an estimate of stand age from 42,626 plots in the eastern United States of America (USA).  This geographic area is defined by Iannone et al (In press) and Iannone et al (2016), i.e., the two studies that present and analyze these data.

The second dataset is a compilation of findings from Iannone et al (In press) and a summary of the first dataset.  Iannone et al (In press) used a mixed-effects modeling framework to model invasive plant species richness and cover in response to four metrics of native tree evolutionary diversity.  This framework allowed independent estimates for model intercepts and slopes for each of the 91 ecological sections contained within the eastern USA.  This dataset provides these independent estimates.  It also provides mean and SD of maximum tree height and relative tree density, as well as mean Jaccard distance based on absence presence of native tree species, and mean stand age all estimated across plots found in each of the 91 ecological sections of the eastern USA.

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