Observational data for central European forest sites and LPJ-GUESS simulation data for European forests.

Lindeskog, Mats; Smith, Benjamin; Lagergren, Fredrik; Sycheva, Ekaterina; Ficko, Andrej; Pretzsch, Hans; Rammig, Anja

Found an issue? Give us feedback

ZENODOarrow_drop_down

ZENODO

Dataset . 2021

License: CC BY

Data sources: Datacite

ZENODO

Dataset . 2021

License: CC BY

Data sources: Datacite

ZENODO

Dataset . 2021

License: CC BY

Data sources: ZENODO

Observational data for central European forest sites and LPJ-GUESS simulation data for European forests.

Research datakeyboard_double_arrow_right Dataset 06 Oct 2021 English Publisher:Zenodo

Authors: Lindeskog, Mats; Smith, Benjamin; Lagergren, Fredrik; Sycheva, Ekaterina; Ficko, Andrej; Pretzsch, Hans; Rammig, Anja;

doi: 10.5281/zenodo.5553193 , 10.5281/zenodo.5553194

Observational data for central European forest sites and LPJ-GUESS simulation data for European forests.

- Summary
- Subjects
- Metrics

Abstract

Observational data for central European forest sites and LPJ-GUESS simulation data for European forests.used to produce figures and tables in: Lindeskog et al.: Accounting for forest management in the estimation of forest carbon balance using the dynamic vegetation model LPJ-GUESS (v4.0, r9710): Implementation and evaluation of simulations for Europe.Geosci.Model.Dev.14:1-41, 2021.

{"references": ["Lindeskog et al.: Accounting for forest management in the estimation of forest carbon balance using the dynamic vegetation model LPJ-GUESS (v4.0, r9710): Implementation and evaluation of simulations for Europe.Geosci.Model.Dev.14:1-41, 2021."]}

Related Organizations

Keywords

vegetation modelling, forest management.

Impact byBIP!

	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).	0
	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.	Average
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Average
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Average