Datasets

subject: Forestry and Natural Resources type: dataset

Total is 133 Results
Spatial patterns of discovery points and invasion hotspots of non-native forest pests

10.4231/7YT5-ET33

Andrew M. Liebhold , Samuel F. Ward ORCID logo , Songlin Fei ORCID logo

07/05/2019

Spreadsheets and spatial data analyzed in "Spatial patterns of discovery points and invasion hotspots of non-native forest pests"

Forest Insects Forest Pathogens Forestry and Natural Resources Invasion Biology Invasive Species Spatial Ecology

Functional traits of non-native woody plants in the United States

10.4231/1YW7-DE10

Basil Iannone , Gabriela C Nunez-Mir , Qinfeng Guo , Songlin Fei ORCID logo

06/10/2019

The dataset includes 45 functional traits of over 800 nonnative woody plant species in the U.S.

Forestry and Natural Resources Functional Traits Invasive Species

Invasive forest pest distributions and their impacts on forest biomass

10.4231/82EJ-B095

Andrew Liebhold , Christopher Oswalt , Randall Morin , Songlin Fei ORCID logo

06/19/2019

Three sets of data are included in this publication: forest inventory data, pest distribution data, and host tree list by pest. In addition, SQL code on how to run analyses with the data sets are also included.

Biomass Carbon Exotic Invasion Forestry and Natural Resources Invasion Invasive Insects Invasive Pests Mortality

Distributional shifts of regional forest communities in the eastern United States

10.4231/F0BT-GN15

Christopher M. Oswalt , Jonathan Knott , Michael A. Jenkins , Songlin Fei ORCID logo

07/24/2019

This dataset contains the distribution of forest communities across the eastern United States at T1 (1980-1995) and T2 (2015-2017) and the species comprising these communities.

Climate Change Forest Inventory and Analysis Forestry and Natural Resources Latent Dirichlet Allocation Regional Forest Communities Spatial Shifts

Structural diversity and ecosystem function

10.4231/N88M-7A62

Brady Hardiman , Elizabeth A Larue ORCID logo , Jessica Elliott , Songlin Fei ORCID logo

10/14/2019

Codes and data for published article: LaRue, EA, BS Hardiman, JM Elliott, S Fei. 2019. Structural diversity as a predictor of ecosystem function. Environmental Research Letters. https://doi.org/10.1088/1748-9326/ab49bb

Ecosystem Function Forestry and Natural Resources Invasion Biology LiDAR Macrosystems biology NEON RStudio Structural diversity

Distributional shifts of regional forest communities in the eastern United States

10.4231/831Y-Z846

Christopher M. Oswalt , Jonathan Knott , Michael A. Jenkins , Songlin Fei ORCID logo

12/10/2019

This dataset contains the distribution of forest communities across the eastern United States at T1 (1980-1995) and T2 (2015-2017) and the species comprising these communities.

Climate Change Forest Inventory and Analysis Forestry and Natural Resources Latent Dirichlet Allocation Regional Forest Communities Spatial Shifts Tree Migration

Soil responses to manipulated precipitation changes: A synthesis of meta-analyses

10.4231/16NT-CW47

Akane O. Abbasi ORCID logo , Alejandro Salazar , Irfan Rashid , Jeffrey S. Dukes ORCID logo , Jianghanyang Li , Maria del Rosario Uribe , Sabine Reinsch , Youmi Oh ORCID logo

02/10/2020

We collected 16 meta-analyses published prior to April 2019 that examined soil responses to manipulated precipitation changes. This is the data of these meta-analyses, including effect sizes, confidence intervals, and sample sizes of 42 soil...

Carbon Cycle Climate Change Forestry and Natural Resources Meta-analysis Nitrogen Phosphorus Cycle Precipitation Change Soil Ecology Soil Emissions

Data of soil greenhouse gas emissions and soybean growth from a biochar-amended precipitation manipulation experiment

10.4231/YCWY-4G65

Akane Abbasi ORCID logo , Jeffrey Dukes ORCID logo

02/28/2020

We recorded soil greenhouse gas emissions and soybean growth in a field experiment where precipitation intensity was manipulated and biochar was added during the growing season of 2017.

biochar Forestry and Natural Resources Greenhouse Gas Emissions precipitation manipulation Soil Emissions Soybean

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