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ZENODO
Software . 2023
License: CC BY
Data sources: ZENODO
ZENODO
Software . 2023
License: CC BY
Data sources: Datacite
ZENODO
Software . 2023
License: CC BY
Data sources: Datacite
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Code and data for: Integrating wind disturbances into Forest planning: A stochastic programming approach

Authors: Eyvindson, Kyle; Kangas, Annika; Nahorna, Olha; Hunault-Fontbonne, Juliette; Potterf, Maria;

Code and data for: Integrating wind disturbances into Forest planning: A stochastic programming approach

Abstract

The dataset archived here is the aggregation of 204 projections of forest land according to a selection of forest management alternatives and wind events. The data has been simulated using the SIMO forest planning software (Rasinmäki et al. 2008), which incorporates the HWind model based on Heinenen et al. (2009). The scenarios represent a specific wind intensity (14 m/s, 18 m/s and 22 m/s, representing low, moderate and high intensity), at a variety of frequencies. The code archived here extracts specific information from the datasets, produces a stochastic programming formulation and solves using open sourced software (python, pyomo), and creates figures to represent the information in a logical and interpretable fashion. For specific information, readers are refered to the readme text found in the code zip file. Relates to https://github.com/eyvindson/WindRiskGraphing

Related Organizations
Keywords

Forest planning, Wind scenarios, Risk mitigation

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average