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Landlab is a Python-based toolkit for builLandlab is a Python-based toolkit for building, coupling, and exploring two-dimensional numerical models of Earth-surface dynamics. This clinic will first provide a short hands-on introduction to Landlab's features and capabilities. We will highlight examples from several existing models built within the Landlab framework, including: coupling of local ecohydrologic processes, spatial plant interactions, and disturbances (fires and grazing); landscape evolution impacted by plants; overland flow impacted by changing soil properties; and effects of topographic structure on species distribution and evolution. Models will be run with various scenarios for climate change and anthropogenic disturbances, and evolution of state variables and fluxes across the landscape will be explored. We will also show the use of gridded climate data products to drive Landlab simulations. Participants are encouraged to install Landlab on their computers prior to the clinic. Installation instructions can be found at: http://landlab.github.io (select "Install" from the menu bar at the top of the page).from the menu bar at the top of the page).  +
United States  +
ngaspari@tulane.edu  +
CSDMS 2020: Linking Ecosphere and Geosphere  +
Erkan  +  and Nathan  +
Tulane University  +
University of Washington  +  and Tulane University  +
Istanbulluoglu  +  and Lyons  +
Louisiana  +
Washington  +  and Louisiana  +
Modeling the Ecosphere using Landlab  +
United States  +
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21:19:03, 18 October 2019  +
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22:34:08, 11 June 2025  +
Landlab  +, ecohydrology  +, ecology  +, Landscape evolution  +  and climate change  +
Terrestrial Working Group  +, Coastal Working Group  +, Hydrology Focus Research Group  +, Chesapeake Focus Research Group  +, Critical Zone Focus Research Group  +, Human Dimensions Focus Research Group  +  and Ecosystem Dynamics Focus Research Group  +