Model data

Models are used in many collaborating projects. Output from these models are tagged with the keyword "models". To find these datasets use the following keyword link.

Models are used in many collaborating projects. Output from these models are tagged with the keyword "models". To find these datasets use the following keyword link.

Model data
Abstract
Edward Rastetter, 2020 Model output, drivers and parameters for Ecosystem Recovery from Disturbance is Constrained by N Cycle Openness, Vegetation-Soil N Distribution, Form of N Losses, and the Balance Between Vegetation and Soil-Microbial Processes . 10.6073/pasta/24624a295f418f36ae90c99ab49bca07
Files used to generate the data for figures in:
Rastetter, EB, Kling, GW, Shaver, GR, Crump, BC, Gough, L. Ecosystem Recovery from Disturbance Is Constrained by N Cycle Openness, Vegetation-Soil N Distribution, Form of N Losses, and the Balance between Vegetation and Soil-Microbial Processes. Ecosystems (2020). https://doi.org/10.1007/s10021-020-00542-3.
Edward Rastetter, Bonnie Kwiatkowski, 2020 Model executable, output, drivers and parameters for modeling organism acclimation to changing availability of and requirements for substitutable and interdependent resources. 10.6073/pasta/314852535992295685284214cc0ae78b
Files used to generate the data for figures in: Rastetter, EB, Kwiatkowski, BL. An approach to modeling resource optimization for substitutable and interdependent resources. Ecological Modelling (2020). https://doi.org/10.1016/j.ecolmodel.2020.109033. This paper presents a hierarchical approach to modeling organism acclimation to changing availability of and requirements for substitutable and interdependent resources. Substitutable resources are resources that fill the same metabolic or stoichiometric need of the organism.
Edward Rastetter, Kevin Griffin, Bonnie Kwiatkowski, George Kling, 2022 Model Simulations of The Effects of Shifts in High-frequency Weather Variability (With a Long-term Trend) on Carbon Loss from Land to the Atmosphere, Toolik Lake, Alaska, 2022-2122. 10.6073/pasta/83775003d8ef8978bf43d5c801f2a9a9
Climate change is increasing extreme weather events, but effects on high-frequency weather variability and the resultant impacts on ecosystem function are poorly understood. We assessed ecosystem responses of arctic tundra to changes in day-to-day weather variability usingĀ a biogeochemical modelĀ and stochastic simulations of daily temperature, precipitation, and light. Changes in weather variability altered ecosystem carbon, nitrogen, and phosphorus stocks and cycling rates.
Edward Rastetter, Kevin Griffin, Bonnie Kwiatkowski, George Kling, 2022 Weather measurements for Toolik Lake, Alaska, 1989-2019. 10.6073/pasta/c37707dcee5c9bc55b3fc7599e784010
Weather measurements from the Toolk Main weather station, 1989-2019. This data was originally downloaded from the Toolik Field Station Environmental Data Center March 8, 2021.

This climate record was used in Rastetter et al., Science, submitted.

The latest climate data is available at http://toolik.alaska.edu/edc/abiotic_monitoring/data_query.php
CSV
Subscribe to Model data