Climate change impacts on a pine stand in Central Siberia

Suckow, Felicitas; Lasch-Born, Petra; Gerstengarbe, Friedrich‐Wilhelm; Werner, P.; Reyer, Christopher P. O.

doi:10.1007/s10113-015-0915-x

Cited by 3 publications

(2 citation statements)

References 53 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Future climate conditions, in particular in the long-term, could negatively affect the Pine's geographical distribution. This contraction in future ranges could likely be related to increasing drought stress, due to a positive temperature change according to Suckow et al (2016) findings. It is also reasonable to predict different responses for the most represented species of this genera: Scots pine (Pinus sylvestris), which is more tolerant to warmer temperature, could be less affected than Siberian pine (P. sibirica).…”

Section: Discussionmentioning

confidence: 77%

Climate Change and Geographic Ranges: The Implications for Russian Forests

2019

View full text Add to dashboard Cite

Section: Discussionmentioning

confidence: 77%

Climate Change and Geographic Ranges: The Implications for Russian Forests

2019

View full text Add to dashboard Cite

“…The model requires daily meteorological data, initial stand data and chemical and physical soil characteristics for each soil horizon. 4C has been used and validated to evaluate forest growth responses to climate in Finland (Mäkelä et al, 2000), Belgium (Kint et al, 2009), Germany (Lasch-Born et al, 2015), Europe (Reyer et al, 2014;Schelhaas et al, 2015) and Russia (Suckow et al, 2016).…”

Section: The Model 4cmentioning

confidence: 99%

Quantifying climate change effects on future forest biomass availability using yield tables improved by mechanistic scaling

Storms

Verdonck

Verbist

et al. 2022

Science of The Total Environment

View full text Add to dashboard Cite

Description and evaluation of the process-based forest model 4C v2.2 at four European forest sites

et al. 2020

Self Cite

View full text Add to dashboard Cite

Abstract. The process-based model 4C (FORESEE) has been developed over the past 20 years to study climate impacts on forests and is now freely available as an open-source tool. The objective of this paper is to provide a comprehensive description of this 4C version (v2.2) for scientific users of the model and to present an evaluation of 4C at four different forest sites across Europe. The evaluation focuses on forest growth as well as carbon (net ecosystem exchange, gross primary production), water (actual evapotranspiration, soil water content), and heat fluxes (soil temperature) using data from the PROFOUND database. We applied different evaluation metrics and compared the daily, monthly, and annual variability of observed and simulated values. The ability to reproduce forest growth (stem diameter and biomass) differs from site to site and is best for a pine stand in Germany (Peitz, model efficiency ME=0.98). 4C is able to reproduce soil temperature at different depths in Sorø and Hyytiälä with good accuracy (for all soil depths ME > 0.8). The dynamics in simulating carbon and water fluxes are well captured on daily and monthly timescales (0.51 < ME < 0.983) but less so on an annual timescale (ME < 0). This model–data mismatch is possibly due to the accumulation of errors because of processes that are missing or represented in a very general way in 4C but not with enough specific detail to cover strong, site-specific dependencies such as ground vegetation growth. These processes need to be further elaborated to improve the projections of climate change on forests. We conclude that, despite shortcomings, 4C is widely applicable, reliable, and therefore ready to be released to the scientific community to use and further develop the model.

show abstract

Climate change impacts on a pine stand in Central Siberia

Cited by 3 publications

References 53 publications

Climate Change and Geographic Ranges: The Implications for Russian Forests

Climate Change and Geographic Ranges: The Implications for Russian Forests

Quantifying climate change effects on future forest biomass availability using yield tables improved by mechanistic scaling

Description and evaluation of the process-based forest model 4C v2.2 at four European forest sites

Contact Info

Product

Resources

About