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efdm–An R package offering a scenario tool beyond forestry
Scenario tools are widely used to support policymaking and strategic planning. Loss of biodiversity, climate change, and increase in biomass demand ways to project future forest resources considering e.g. various protection schemes, alterations to forest management, and potential threats like pests,...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9377579/ https://www.ncbi.nlm.nih.gov/pubmed/35969582 http://dx.doi.org/10.1371/journal.pone.0264380 |
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author | Räty, Minna Kuronen, Mikko |
author_facet | Räty, Minna Kuronen, Mikko |
author_sort | Räty, Minna |
collection | PubMed |
description | Scenario tools are widely used to support policymaking and strategic planning. Loss of biodiversity, climate change, and increase in biomass demand ways to project future forest resources considering e.g. various protection schemes, alterations to forest management, and potential threats like pests, wind, and drought. The European Forestry Dynamics Model (EFDM) is an area-based matrix model that can combine all these aspects in a scenario, simulating large-scale impacts. The inputs to the EFDM are the initial forest state and models for management activities such as thinning, felling or other silvicultural treatments. The results can be converted into user-defined outputs like wood volumes, the extent of old forests, dead wood, carbon, or harvest income. We present here a new implementation of the EFDM as an open-source R package. This new implementation enables the development of more complex scenarios than before, including transitions from even-aged forestry to continuous cover forestry, and changes in land use or tree species. Combined with a faster execution speed, the EFDM can now be used as a building block in optimization systems. The new user interface makes the EFDM more approachable and usable, and it can be combined with other models to study the impact of climate change, for example. |
format | Online Article Text |
id | pubmed-9377579 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-93775792022-08-16 efdm–An R package offering a scenario tool beyond forestry Räty, Minna Kuronen, Mikko PLoS One Research Article Scenario tools are widely used to support policymaking and strategic planning. Loss of biodiversity, climate change, and increase in biomass demand ways to project future forest resources considering e.g. various protection schemes, alterations to forest management, and potential threats like pests, wind, and drought. The European Forestry Dynamics Model (EFDM) is an area-based matrix model that can combine all these aspects in a scenario, simulating large-scale impacts. The inputs to the EFDM are the initial forest state and models for management activities such as thinning, felling or other silvicultural treatments. The results can be converted into user-defined outputs like wood volumes, the extent of old forests, dead wood, carbon, or harvest income. We present here a new implementation of the EFDM as an open-source R package. This new implementation enables the development of more complex scenarios than before, including transitions from even-aged forestry to continuous cover forestry, and changes in land use or tree species. Combined with a faster execution speed, the EFDM can now be used as a building block in optimization systems. The new user interface makes the EFDM more approachable and usable, and it can be combined with other models to study the impact of climate change, for example. Public Library of Science 2022-08-15 /pmc/articles/PMC9377579/ /pubmed/35969582 http://dx.doi.org/10.1371/journal.pone.0264380 Text en © 2022 Räty, Kuronen https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Räty, Minna Kuronen, Mikko efdm–An R package offering a scenario tool beyond forestry |
title | efdm–An R package offering a scenario tool beyond forestry |
title_full | efdm–An R package offering a scenario tool beyond forestry |
title_fullStr | efdm–An R package offering a scenario tool beyond forestry |
title_full_unstemmed | efdm–An R package offering a scenario tool beyond forestry |
title_short | efdm–An R package offering a scenario tool beyond forestry |
title_sort | efdm–an r package offering a scenario tool beyond forestry |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9377579/ https://www.ncbi.nlm.nih.gov/pubmed/35969582 http://dx.doi.org/10.1371/journal.pone.0264380 |
work_keys_str_mv | AT ratyminna efdmanrpackageofferingascenariotoolbeyondforestry AT kuronenmikko efdmanrpackageofferingascenariotoolbeyondforestry |