Spatial and temporal dynamics of forest disturbance: a stochastic simulation model
Forest systems are made up of a large number of processes interacting in complex spatial and temporal scales. Simulation can be used to study the way processes interact in space and time. A model, which approximates a system of forest growth, forest fire, bark beetle dynamics and harvesting, is...
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ndltd-UBC-oai-circle.library.ubc.ca-2429-89802018-01-05T17:34:29Z Spatial and temporal dynamics of forest disturbance: a stochastic simulation model Lessard, Robert B. Forest systems are made up of a large number of processes interacting in complex spatial and temporal scales. Simulation can be used to study the way processes interact in space and time. A model, which approximates a system of forest growth, forest fire, bark beetle dynamics and harvesting, is constructed to observe spatial and temporal behaviour. System performance is analyzed through a sensitivity analysis of response indicators under different management regimes designed to simulate harvest and fire suppression. Variability between simulated landscapes is averaged to determine trends in model behaviour. Normalized spectral density estimates are used to detect periodicity in simulated behaviour. Harvest is found to lessen the impact of fire and beetle outbreaks whereas fire suppression is found to increase beetle populations. Periodic behaviour of beetles and forest spatial structure are found to be affected by harvest whereas fire suppression is found to be responsible for changes in periodic behaviour of live biomass. Forestry, Faculty of Graduate 2009-06-11T20:18:56Z 2009-06-11T20:18:56Z 1998 1999-05 Text Thesis/Dissertation http://hdl.handle.net/2429/8980 eng For non-commercial purposes only, such as research, private study and education. Additional conditions apply, see Terms of Use https://open.library.ubc.ca/terms_of_use. 8238638 bytes application/pdf |
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NDLTD |
language |
English |
format |
Others
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description |
Forest systems are made up of a large number of processes interacting in complex spatial
and temporal scales. Simulation can be used to study the way processes interact in space
and time.
A model, which approximates a system of forest growth, forest fire, bark beetle dynamics
and harvesting, is constructed to observe spatial and temporal behaviour. System
performance is analyzed through a sensitivity analysis of response indicators under
different management regimes designed to simulate harvest and fire suppression.
Variability between simulated landscapes is averaged to determine trends in model
behaviour. Normalized spectral density estimates are used to detect periodicity in
simulated behaviour.
Harvest is found to lessen the impact of fire and beetle outbreaks whereas fire
suppression is found to increase beetle populations. Periodic behaviour of beetles and
forest spatial structure are found to be affected by harvest whereas fire suppression is
found to be responsible for changes in periodic behaviour of live biomass. === Forestry, Faculty of === Graduate |
author |
Lessard, Robert B. |
spellingShingle |
Lessard, Robert B. Spatial and temporal dynamics of forest disturbance: a stochastic simulation model |
author_facet |
Lessard, Robert B. |
author_sort |
Lessard, Robert B. |
title |
Spatial and temporal dynamics of forest disturbance: a stochastic simulation model |
title_short |
Spatial and temporal dynamics of forest disturbance: a stochastic simulation model |
title_full |
Spatial and temporal dynamics of forest disturbance: a stochastic simulation model |
title_fullStr |
Spatial and temporal dynamics of forest disturbance: a stochastic simulation model |
title_full_unstemmed |
Spatial and temporal dynamics of forest disturbance: a stochastic simulation model |
title_sort |
spatial and temporal dynamics of forest disturbance: a stochastic simulation model |
publishDate |
2009 |
url |
http://hdl.handle.net/2429/8980 |
work_keys_str_mv |
AT lessardrobertb spatialandtemporaldynamicsofforestdisturbanceastochasticsimulationmodel |
_version_ |
1718588139143954432 |