Datasets

subject: Climate Change type: dataset

Total is 36 Results
Data for: Warm temperatures increase population growth of a non-native defoliator and inhibit demographic responses by parasitoids

10.4231/P800-NM47

Andrew Liebhold , Brian Aukema , Samuel Ward ORCID logo , Songlin Fei ORCID logo

07/01/2020

Abundance of larch casebearer (larvae, adults) on western larch in Oregon and Washington (1972-1995) along with parasitism rates from two imported biological control agents.

Climate Change Forest Forestry and Natural Resources insect

C4 photosynthesis and climate through the lens of optimality

10.4231/R7PR7T75

Ashley Dicks , Brent Helliker , Erol Akçay , Haoran Zhou ORCID logo , Matthew Huber ORCID logo

10/30/2018

Post-processed climate model output and associated source code for "C4 photosynthesis and climate through the lens of optimality"

c4 Climate Change EAPS Earth and Atmospheric Sciences Evolution Huber Miocene Paleoclimate Plants

Responses of dominant tree-mycorrhizal associations to anthropogenic impacts in the USA

10.4231/R76D5R7S

Insu Jo , Songlin Fei ORCID logo

03/12/2019

Data published here are used to understand anthropogenic influences on tree mycorrhizal associations in USA forests

Climate Change Forest Forestry and Natural Resources Mycorrhizal Nutrient cycling

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

Microbial decomposition processes and vulnerable arctic soil organic carbon in the 21st century

10.4231/ANMV-J384

Junrong Zha , Qianlai Zhuang ORCID logo

07/25/2019

Various levels of representations of biogeochemical processes in current biogeochemistry models contribute to uncertainty in carbon budget quantification. Detailed microbial mechanisms were incorporated into TEM 5.0 (Terrestrial Ecosystem Model).

Arctic Region Biogeochemistry Carbon Dynamics Climate Change EAPS Earth and Atmospheric Sciences Microbial-Based Model Terrestrial Ecosystem Model (TEM)

Modeling the Sea Level Changes in Guam

10.4231/0A0F-7A84

Avnika Manaktala ORCID logo

10/14/2019

This project works on understanding the different statistical models that are available to analyze and predict mean sea level changes in Guam.

Climate Change Data Education Earth and Atmospheric Sciences FAIR Data Machine Learning Sea level rise Statistical analysis Statistical Methods

Quantifying Dissolved Organic Carbon Dynamics Using a Three-Dimensional Terrestrial Ecosystem Model at High Spatial-Temporal Resolutions

10.4231/7YY6-HQ02

Chang Liao ORCID logo , Laodong Guo , Qianlai Zhuang ORCID logo , Ruby Leung

12/02/2019

Arctic ecosystems are very sensitive to the global climate change. This study provides a modeling framework to adequately quantify the Arctic land ecosystem carbon budget by considering the lateral transport of carbon affected by permafrost...

Alaska Arctic Region Biogeochemistry C Carbon Cycle Climate Change Earth and Atmospheric Sciences ECO3D Ecosystem Hydrology LSM Permafrost TEM

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