Coarse Filter Ecosystem Management in a Nonequilibrating Forest

The natural disturbance model of forest management is the basis of many of the sustainable forest management systems being proposed for the boreal forest of Canada. Wildfire is the dominant natural agent of disturbance in the boreal mixed-wood forest. The natural disturbance model assumes that timbe...

Full description

Bibliographic Details
Main Authors: Armstrong, Glen W., Adamowicz, Wiktor L., Beck, Jr, James A., Cummings, Steven G., Schmiegelow, Fiona
Format: Text
Language:unknown
Published: Hosted by Utah State University Libraries 2003
Subjects:
Online Access:https://digitalcommons.usu.edu/aspen_bib/6903
http://www.ingentaconnect.com/content/saf/fs/2003/00000049/00000002/art00005
id ftutahsudc:oai:digitalcommons.usu.edu:aspen_bib-7904
record_format openpolar
spelling ftutahsudc:oai:digitalcommons.usu.edu:aspen_bib-7904 2023-05-15T13:21:53+02:00 Coarse Filter Ecosystem Management in a Nonequilibrating Forest Armstrong, Glen W. Adamowicz, Wiktor L. Beck, Jr, James A. Cummings, Steven G. Schmiegelow, Fiona 2003-01-01T08:00:00Z https://digitalcommons.usu.edu/aspen_bib/6903 http://www.ingentaconnect.com/content/saf/fs/2003/00000049/00000002/art00005 unknown Hosted by Utah State University Libraries https://digitalcommons.usu.edu/aspen_bib/6903 http://www.ingentaconnect.com/content/saf/fs/2003/00000049/00000002/art00005 Copyright for this work is held by the author. Transmission or reproduction of materials protected by copyright beyond that allowed by fair use requires the written permission of the copyright owners. Works not in the public domain cannot be commercially exploited without permission of the copyright owner. Responsibility for any use rests exclusively with the user. For more information contact the Institutional Repository Librarian at digitalcommons@usu.edu. PDM Aspen Bibliography Forestry Models and Simulations (Computational Biology) Terrestrial Ecology (Ecology Environmental Sciences) Wildlife Management (Conservation) Coniferopsida: Gymnospermae Spermatophyta Plantae Cricetidae: Rodentia Mammalia Vertebrata Chordata Animalia Falconiformes: Aves Mustelidae: Carnivora Passeriformes: Aves Piciformes: Aves Salicaceae: Dicotyledones Angiospermae Buteo platypterus [broad winged hawk] (Falconiformes) Dendroica virens [black throated green warbler] (Passeriformes) Martes americana [American marten] (Mustelidae) Microtus pennsylvanicus [meadow vole] (Cricetidae) Picoides tridactylus [northern three toed woodpecker] (Piciformes) aspen (Salicaceae) black spruce (Coniferopsida) pine (Coniferopsida) white spruce (Coniferopsida) Angiosperms Animals Birds Carnivores Chordates Dicots Gymnosperms Mammals Nonhuman Mammals Nonhuman Vertebrates Plants Rodents Spermatophytes Vascular Plants Vertebrates Canada (North America Nearctic region) mathematical modeling: mathematical and computer techniques natural disturbance forest management modeling: mathematical and computer techniques nonequilibrating forest: boreal mixedwood forest timber supply wildlife habitat: stochastic wildfire regime Forest Sciences text 2003 ftutahsudc 2022-03-07T21:01:14Z The natural disturbance model of forest management is the basis of many of the sustainable forest management systems being proposed for the boreal forest of Canada. Wildfire is the dominant natural agent of disturbance in the boreal mixed-wood forest. The natural disturbance model assumes that timber harvesting systems emulating the annual area burned by natural fire, its spatial distribution, and the amount of residual material can be developed. It is further assumed that natural processes can be emulated closely enough to maintain forest biota at natural or near-natural population levels. This is a coarse filter approach to ecosystem management. In order to emulate the natural rate of disturbance, one needs to quantify it. The annual area burned in the study area, under natural conditions, is characterized as a random draw from a lognormal distribution. A modeling system comprised of an aspatial Monte Carlo simulation model and a linear programming based forest activity scheduling model was developed. The simulation model is used to develop 200 yr forecasts of probability distributions for habitat area of five vertebrate species under a stochastic wildfire regime. These probability distributions are used to construct habitat area constraints for use in an optimization model to help quantify the trade-offs between timber values and maintenance of the range of natural variability in the forest. The model is used to identify the trade-offs between forest harvesting, wildlife habitat, and the degree of similarity between the managed forest structure and the distribution of structures that could be generated by natural disturbance. FOR. SCI. 49(2):209–223. Text American marten Martes americana Utah State University: DigitalCommons@USU Canada
institution Open Polar
collection Utah State University: DigitalCommons@USU
op_collection_id ftutahsudc
language unknown
topic Forestry
Models and Simulations (Computational Biology)
Terrestrial Ecology (Ecology
Environmental Sciences)
Wildlife Management (Conservation)
Coniferopsida: Gymnospermae
Spermatophyta
Plantae
Cricetidae: Rodentia
Mammalia
Vertebrata
Chordata
Animalia
Falconiformes: Aves
Mustelidae: Carnivora
Passeriformes: Aves
Piciformes: Aves
Salicaceae: Dicotyledones
Angiospermae
Buteo platypterus [broad winged hawk] (Falconiformes)
Dendroica virens [black throated green warbler] (Passeriformes)
Martes americana [American marten] (Mustelidae)
Microtus pennsylvanicus [meadow vole] (Cricetidae)
Picoides tridactylus [northern three toed woodpecker] (Piciformes)
aspen (Salicaceae)
black spruce (Coniferopsida)
pine (Coniferopsida)
white spruce (Coniferopsida)
Angiosperms
Animals
Birds
Carnivores
Chordates
Dicots
Gymnosperms
Mammals
Nonhuman Mammals
Nonhuman Vertebrates
Plants
Rodents
Spermatophytes
Vascular Plants
Vertebrates
Canada (North America
Nearctic region)
mathematical modeling: mathematical and computer techniques
natural disturbance forest management modeling: mathematical and computer techniques
nonequilibrating forest: boreal mixedwood forest
timber supply
wildlife habitat: stochastic wildfire regime
Forest Sciences
spellingShingle Forestry
Models and Simulations (Computational Biology)
Terrestrial Ecology (Ecology
Environmental Sciences)
Wildlife Management (Conservation)
Coniferopsida: Gymnospermae
Spermatophyta
Plantae
Cricetidae: Rodentia
Mammalia
Vertebrata
Chordata
Animalia
Falconiformes: Aves
Mustelidae: Carnivora
Passeriformes: Aves
Piciformes: Aves
Salicaceae: Dicotyledones
Angiospermae
Buteo platypterus [broad winged hawk] (Falconiformes)
Dendroica virens [black throated green warbler] (Passeriformes)
Martes americana [American marten] (Mustelidae)
Microtus pennsylvanicus [meadow vole] (Cricetidae)
Picoides tridactylus [northern three toed woodpecker] (Piciformes)
aspen (Salicaceae)
black spruce (Coniferopsida)
pine (Coniferopsida)
white spruce (Coniferopsida)
Angiosperms
Animals
Birds
Carnivores
Chordates
Dicots
Gymnosperms
Mammals
Nonhuman Mammals
Nonhuman Vertebrates
Plants
Rodents
Spermatophytes
Vascular Plants
Vertebrates
Canada (North America
Nearctic region)
mathematical modeling: mathematical and computer techniques
natural disturbance forest management modeling: mathematical and computer techniques
nonequilibrating forest: boreal mixedwood forest
timber supply
wildlife habitat: stochastic wildfire regime
Forest Sciences
Armstrong, Glen W.
Adamowicz, Wiktor L.
Beck, Jr, James A.
Cummings, Steven G.
Schmiegelow, Fiona
Coarse Filter Ecosystem Management in a Nonequilibrating Forest
topic_facet Forestry
Models and Simulations (Computational Biology)
Terrestrial Ecology (Ecology
Environmental Sciences)
Wildlife Management (Conservation)
Coniferopsida: Gymnospermae
Spermatophyta
Plantae
Cricetidae: Rodentia
Mammalia
Vertebrata
Chordata
Animalia
Falconiformes: Aves
Mustelidae: Carnivora
Passeriformes: Aves
Piciformes: Aves
Salicaceae: Dicotyledones
Angiospermae
Buteo platypterus [broad winged hawk] (Falconiformes)
Dendroica virens [black throated green warbler] (Passeriformes)
Martes americana [American marten] (Mustelidae)
Microtus pennsylvanicus [meadow vole] (Cricetidae)
Picoides tridactylus [northern three toed woodpecker] (Piciformes)
aspen (Salicaceae)
black spruce (Coniferopsida)
pine (Coniferopsida)
white spruce (Coniferopsida)
Angiosperms
Animals
Birds
Carnivores
Chordates
Dicots
Gymnosperms
Mammals
Nonhuman Mammals
Nonhuman Vertebrates
Plants
Rodents
Spermatophytes
Vascular Plants
Vertebrates
Canada (North America
Nearctic region)
mathematical modeling: mathematical and computer techniques
natural disturbance forest management modeling: mathematical and computer techniques
nonequilibrating forest: boreal mixedwood forest
timber supply
wildlife habitat: stochastic wildfire regime
Forest Sciences
description The natural disturbance model of forest management is the basis of many of the sustainable forest management systems being proposed for the boreal forest of Canada. Wildfire is the dominant natural agent of disturbance in the boreal mixed-wood forest. The natural disturbance model assumes that timber harvesting systems emulating the annual area burned by natural fire, its spatial distribution, and the amount of residual material can be developed. It is further assumed that natural processes can be emulated closely enough to maintain forest biota at natural or near-natural population levels. This is a coarse filter approach to ecosystem management. In order to emulate the natural rate of disturbance, one needs to quantify it. The annual area burned in the study area, under natural conditions, is characterized as a random draw from a lognormal distribution. A modeling system comprised of an aspatial Monte Carlo simulation model and a linear programming based forest activity scheduling model was developed. The simulation model is used to develop 200 yr forecasts of probability distributions for habitat area of five vertebrate species under a stochastic wildfire regime. These probability distributions are used to construct habitat area constraints for use in an optimization model to help quantify the trade-offs between timber values and maintenance of the range of natural variability in the forest. The model is used to identify the trade-offs between forest harvesting, wildlife habitat, and the degree of similarity between the managed forest structure and the distribution of structures that could be generated by natural disturbance. FOR. SCI. 49(2):209–223.
format Text
author Armstrong, Glen W.
Adamowicz, Wiktor L.
Beck, Jr, James A.
Cummings, Steven G.
Schmiegelow, Fiona
author_facet Armstrong, Glen W.
Adamowicz, Wiktor L.
Beck, Jr, James A.
Cummings, Steven G.
Schmiegelow, Fiona
author_sort Armstrong, Glen W.
title Coarse Filter Ecosystem Management in a Nonequilibrating Forest
title_short Coarse Filter Ecosystem Management in a Nonequilibrating Forest
title_full Coarse Filter Ecosystem Management in a Nonequilibrating Forest
title_fullStr Coarse Filter Ecosystem Management in a Nonequilibrating Forest
title_full_unstemmed Coarse Filter Ecosystem Management in a Nonequilibrating Forest
title_sort coarse filter ecosystem management in a nonequilibrating forest
publisher Hosted by Utah State University Libraries
publishDate 2003
url https://digitalcommons.usu.edu/aspen_bib/6903
http://www.ingentaconnect.com/content/saf/fs/2003/00000049/00000002/art00005
geographic Canada
geographic_facet Canada
genre American marten
Martes americana
genre_facet American marten
Martes americana
op_source Aspen Bibliography
op_relation https://digitalcommons.usu.edu/aspen_bib/6903
http://www.ingentaconnect.com/content/saf/fs/2003/00000049/00000002/art00005
op_rights Copyright for this work is held by the author. Transmission or reproduction of materials protected by copyright beyond that allowed by fair use requires the written permission of the copyright owners. Works not in the public domain cannot be commercially exploited without permission of the copyright owner. Responsibility for any use rests exclusively with the user. For more information contact the Institutional Repository Librarian at digitalcommons@usu.edu.
op_rightsnorm PDM
_version_ 1766362050004516864