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This is a spatially-explicit state-and-transition simulation model of rangeland vegetation dynamics in southwest South Dakota. It was co-designed with resource management partners to support scenario planning for climate change adaptation. The study site encompasses part of multiple jurisdictions, including Badlands National Park, Buffalo Gap National Grasslands, and Pine Ridge Indian Reservation. The model represents key vegetation types, grazing, exotic plants, fire, and the effects of climate and management on rangeland productivity and composition (i.e., distribution of ecological community phases). See Miller et al. (2017) for further details. The model was built using the ST-Sim software platform (www.apexrms.com/stsm)....
Categories: Data;
Types: Citation;
Tags: Badlands National Park,
Bison,
Buffalo Gap National Grassland,
Cattle,
Climate change,
This is a spatially-explicit state-and-transition simulation model of buffelgrass dynamics in Saguaro National Park. Buffelgrass is an invasive grass spreading in the park. The model represents uninvaded and invaded parts of the desert ecosystem including transition pathways related to management activities and includes a connection to a fire behavior model. The model was built using the ST-Sim software platform linked to the FARSITE fire behavior model. The St-SIM file structure includes three components: 1) Buffelgrass.ssim.input folder that houses the input files used by St-SIM, 2) the Buffelgrass.ssim.output folder which houses the scenario outputs used by St-SIM for visualization and export of data, and 3)...
Context Agent-based models (ABMs) and state-and-transition simulation models (STSMs) have proven useful for understanding processes underlying social-ecological systems and evaluating practical questions about how systems might respond to different scenarios. ABMs can simulate a variety of agents (autonomous units, such as wildlife or people); agent characteristics, decision-making, adaptive behavior, and mobility; and agent-environment interactions. STSMs are flexible and intuitive stochastic landscape models that can track scenarios and integrate diverse data. Both can be run spatially and track metrics of management success. Objectives Due to the complementarity of these approaches, we sought to couple them through...
Categories: Publication;
Types: Citation
The National Park Service (NPS) is responsible for managing livestock grazing in 94 units, and several park grazing management planning efforts are currently underway. However, there is a recognized need to update grazing management practices to address potential future effects of management practices and climate change. The goal of this project is to outline the steps required for developing NPS grazing management plans, to identify information needs and availability for these planning processes, and to initiate a scenario-based pilot project for meeting these needs at a given park unit. This will serve as an important step toward developing a transferable process to help parks ensure that grazing management practices...
Categories: Project;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: 2019,
CASC,
Completed,
Data Visualization & Tools,
Grasslands and Plains,
The National Park Service is responsible for managing livestock grazing on 94 locations across the country and several grazing management planning efforts for this work are underway. However, there is a recognized need to update grazing management plans to address potential future effects of climate change on related resources and practices. This is the second phase of a project that is using scenario planning (a strategic planning technique used to inform decision-making in the face of uncertain future conditions) to support grazing management at Dinosaur National Monument. In the first phase of the project (Integrating Climate Considerations into Grazing Management Programs in National Parks), the research team...
Categories: Project;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: 2021,
CASC,
Grasslands and Plains,
Grasslands and Plains,
Landscapes,
Even when faced with uncertainty about future climate conditions, resource managers are tasked with making planning and adaptation decisions that impact important natural and cultural resources. Species distribution models are widely used by both researchers and managers to estimate species responses to climate change. These models combine data on environmental variables (e.g., temperature, precipitation) with field samples of a species’ presence, absence, and/or abundance to project and visualize potential habitat of the species across space and time. However, species distribution modeling software previously developed and supported by USGS (the Software for Assisted Habitat Modeling [SAHM] package for VisTrails)...
Categories: Project;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: 2021,
CASC,
Data Visualization & Tools,
Data Visualization & Tools,
North Central,
Abstract (from http://www.aimspress.com/article/10.3934/environsci.2015.2.400): State-and-transition simulation models (STSMs) are known for their ability to explore the combined effects of multiple disturbances, ecological dynamics, and management actions on vegetation. However, integrating the additional impacts of climate change into STSMs remains a challenge. We address this challenge by combining an STSM with species distribution modeling (SDM). SDMs estimate the probability of occurrence of a given species based on observed presence and absence locations as well as environmental and climatic covariates. Thus, in order to account for changes in habitat suitability due to climate change, we used SDM to generate...
Categories: Publication;
Types: Citation;
Tags: Grasslands and Plains,
Landscapes,
Mountain pine beetle,
North Central CASC,
Other Landscapes,
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