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You are here: NRS Home / Research Programs /Forest Disturbance Processes /Climate Change and Events / Predicting global change effects on forest biomass and composition in south-central Siberia
Forest Disturbance Processes

Predicting global change effects on forest biomass and composition in south-central Siberia

[photo:]   Lake Baikai, Siberia by Eric GustafsonResearch Issue

Multiple global changes such as timber harvest of previously unexploited areas and climate change will undoubtedly affect the composition and spatial distribution of boreal forests, which will in turn affect the ability of these forests to sequester carbon.  To reliably predict future states of the boreal forest it is necessary to understand the complex interactions among forest regenerative processes (succession), natural disturbances (e.g., fire, wind and insects) and anthropogenic disturbances (e.g., timber harvest). 

Our Research

We use a landscape succession and disturbance model (LANDIS-II) to study the relative effects of climate change, timber harvesting and insect outbreaks on forest composition, biomass (carbon) and landscape pattern on a 316,527 ha landscape in south-central Siberia.

Expected Outcomes

Our results show that timber harvest is the global change that will have the most profound impact on forest composition and pattern.  The effect of climate is also significant, but the indirect effect of a new insect defoliator is more significant than direct climate effects on productivity, competition and fire.

Research Results

Gustafson, E.J., A.Z. Shvidenko, R.M. Scheller.  2011.  Effectiveness of forest management strategies to mitigate effects of global change in south central Siberia.  Canadian Journal of Forest Research 41:1405–1421. 

Gustafson, E.J., B.R. Sturtevant, A.Z. Shvidenko, R.M. Scheller.  2011.  Using landscape disturbance and succession models to support forest management.  Pages 99-118 in: Chao Li, R. Lafortezza and J. Chen (eds).  Landscape ecology in forest management and conservation.  Jointly published by HEP and Springer, Beijing and Berlin.

Gustafson, Eric; Shvidenko, Anatoly D.; Sturtevant, Brian R.; Scheller, Robert M. 2010. Predicting global change effects on forest biomass and composition in south-central Siberia. Ecological Applications. 20(3): 700-715. 

Research Participants

Principal Investigator

  • Eric Gustafson, US Forest Service Northern Research Station Research Ecologist

Research Partners

Last Modified: 03/26/2012

About this Research Area
Featured Publication

Gustafson, E.J., A.Z. Shvidenko, B.R. Sturtevant, R.M. Scheller. 2010. Predicting global change effects on forest biomass and composition in south-central Siberia. Ecological Applications 20(3): 700-715.

Special Application

LANDIS - LANDIS is designed to model forest succession, disturbance (including fire, wind, harvesting, insects, global change), and seed dispersal across large (>1 million ha) landscapes. LANDIS represents landscapes as a grid of cells and tracks age cohorts of each species (presence/absence or biomass) rather than individual trees. LANDIS simulates distinct ecological processes, allowing complex interactions to play out as emergent properties of the simulation.