Modelling the impact of forest management and CO
Journal
Scientific reports
ISSN: 2045-2322
Titre abrégé: Sci Rep
Pays: England
ID NLM: 101563288
Informations de publication
Date de publication:
18 08 2023
18 08 2023
Historique:
received:
08
02
2023
accepted:
31
07
2023
medline:
21
8
2023
pubmed:
19
8
2023
entrez:
18
8
2023
Statut:
epublish
Résumé
Afforestation and reforestation to meet 'Net Zero' emissions targets are considered a necessary policy by many countries. Their potential benefits are usually assessed through forest carbon and growth models. The implementation of vegetation demography gives scope to represent forest management and other size-dependent processes within land surface models (LSMs). In this paper, we evaluate the impact of including management within an LSM that represents demography, using both in-situ and reanalysis climate drivers at a mature, upland Sitka spruce plantation in Northumberland, UK. We compare historical simulations with fixed and variable CO
Identifiants
pubmed: 37596319
doi: 10.1038/s41598-023-39810-2
pii: 10.1038/s41598-023-39810-2
pmc: PMC10439122
doi:
Substances chimiques
Carbon Dioxide
142M471B3J
Carbon
7440-44-0
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
13487Informations de copyright
© 2023. Springer Nature Limited.
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