LDSim BPU Biophysical Classes (BPCs)
Data and Resources
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LDSim BPU Biophysical Classes (BPCs)
LDSim's BPU data layer categorizes site productivity into biophysical...
Additional Info
| Field | Value |
|---|---|
| Last Updated | July 14, 2025, 15:34 (UTC) |
| Created | July 14, 2025, 15:34 (UTC) |
| accessRights | To read more about the access rights pertaining to this dataset, (a) click on the download button to the left of "17.8 MB" and (b) fill out a form titled "Please complete the form below to access our dataset"; execute these steps at the following link: https://www.vpdatacommons.org/datasets/ldsim-bpu-yuba |
| creationMethod | Learn more about dataset's creation method at: https://www.vpdatacommons.org/datasets/ldsim-bpu-yuba |
| creatorEmail | mcgarigalk@eco.umass.edu |
| creatorName | Dr. Kevin McGarigal |
| creatorWebsite | https://necasc.umass.edu/people/kevin-mcgarigal |
| dataAuthType | public |
| dataProvenance | [{"date":"2020-09-01","name":"Creation and publication of dataset"},{"date":"2022-02-09","name":"Dataset updated"},{"date":"2025-03-06","name":"Dataset updated"}] |
| dataType | Process-based simulation |
| datasetPageUrl | https://www.vpdatacommons.org/datasets/ldsim-bpu-yuba |
| docsURL | https://www.vpdatacommons.org/datasets/ldsim-bpu-yuba |
| issueDate | 2020-09-01 |
| lang | en |
| lastUpdateDate | 2025-03-06 |
| license | cc-by-nc-sa |
| pocEmail | mcgarigalk@eco.umass.edu |
| pocName | Dr. Kevin McGarigal |
| pocWebsite | https://necasc.umass.edu/people/kevin-mcgarigal |
| publisherEmail | mcgarigalk@eco.umass.edu |
| publisherName | Dr. Kevin McGarigal |
| publisherWebsite | https://necasc.umass.edu/people/kevin-mcgarigal |
| purpose | LDSim (Landscape Disturbance-Succession Simulator) is a disturbance and succession model used to understand and predict changes in forest ecosystems over time. It is a process-based model that incorporates information about forest disturbances (such as fire, windthrow, and insect outbreaks) and the subsequent recovery and succession of the forest. The model was developed by Dr. Kevin McGarigal and his colleagues at the University of Massachusetts Amherst and is based on the premise that natural disturbances and succession processes are important drivers of forest ecosystem dynamics. The model uses a spatially-explicit approach, meaning that it simulates forest changes at multiple scales of spatial resolution (for example, from the site to the Subbasin scale) to meet different management needs and use cases. LDSim modeling begins with an assessment of the historical range of variability (HRV) in the forest ecosystem, which is the range of natural variation in ecosystem structure and function that has occurred over a long period of time. This provides a baseline for evaluating the degree to which current forest conditions have deviated from historical patterns. The model then simulates the occurrence of various disturbances, such as fire, and predicts the subsequent recovery and succession of the forest over time. LDSim modeling can be used to assess the effects of different management interventions, such as prescribed burning or thinning, on forest ecosystem dynamics. It can also be used to evaluate the potential impacts of future disturbances, such as changes in climate or land use. Overall, LDSim disturbance and succession modeling is a powerful tool for understanding and predicting changes in forest ecosystems over time and guiding management and conservation efforts to maintain or restore more natural conditions. |
| status | submitted |
| theme | ["vegetation"] |
| uploadType | model |