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Permanent link (DOI): https://doi.org/10.7939/R3DM49

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Predicting Patterns of Regeneration on Seismic Lines to Inform Restoration Planning in Boreal Forest Habitats Open Access

Descriptions

Other title
Subject/Keyword
restoration
seismic line
boreal
LiDAR
Type of item
Thesis
Degree grantor
University of Alberta
Author or creator
Van Rensen, Cassidy K
Supervisor and department
Scott Nielsen (Renewable Resources)/Vic Lieffers(Renewable Resources)
Examining committee member and department
Erin Bayne (Biological Sciences)/ Barry White (Environment and Sustainable Resource Development)
Department
Department of Renewable Resources
Specialization
Conservation Biology
Date accepted
2014-09-26T10:11:44Z
Graduation date
2014-11
Degree
Master of Science
Degree level
Master's
Abstract
Mapping of oil reserves involves the use of seismic lines (linear disturbances) to determine size of reserves. These linear disturbances fragment forests and in many cases fail to regenerate trees even decades following their use. With the continued rise in anthropogenic disturbances, regeneration of seismic lines is necessary for the conservation of biodiversity. Little is known, however, about how local and landscape factors affect natural recovery of trees and shrubs on seismic lines. I investigate factors affecting early forest regeneration using LiDAR, forest stand databases and a disturbance inventory of 4350 km of seismic lines over a 1,806 km2 region (density of 2.4 km/km2) of northeast Alberta. Regeneration to a height of at least 3 m or to 50% of the adjacent stand were inversely related to terrain wetness, line width, distance from roads (as a proxy for human use of lines), and the lowland ecosites. Overall, terrain wetness and the presence of fen ecosites had the strongest negative effect on regeneration patterns; the wettest sites fail to recover even after 50 years post-disturbance. Predictions of future regeneration rates on existing lines suggested that up to 50% of existing linear disturbance footprints in this boreal landscape will remain un-regenerated 50 years later. I then used predictions of vegetation regeneration on seismic lines to 3 m height 10, 30, and 50 years post-disturbance for optimizing restoration to benefit woodland caribou. I incorporated costs for bitumen pay thickness, linear feature density, distance to nearest road and regeneration probability, while targeting restoration priority areas for woodland caribou. Marxan with Zones was used to configure seismic lines into 3 zones: active restoration (reclamation), passive restoration (natural regeneration), and available. Through prioritization of restoration of seismic lines, millions of dollars can be saved while improving woodland caribou habitat and reducing the risk of re-disturbance from future oil sands development. This thesis effectively demonstrates methodology to assess the regeneration of vegetation on seismic lines and quantitatively optimize restoration of these disturbances. This work can directly support landscape management initiatives concerning linear footprint within Alberta Environment and Sustainable Resource Development.
Language
English
DOI
doi:10.7939/R3DM49
Rights
Permission is hereby granted to the University of Alberta Libraries to reproduce single copies of this thesis and to lend or sell such copies for private, scholarly or scientific research purposes only. Where the thesis is converted to, or otherwise made available in digital form, the University of Alberta will advise potential users of the thesis of these terms. The author reserves all other publication and other rights in association with the copyright in the thesis and, except as herein before provided, neither the thesis nor any substantial portion thereof may be printed or otherwise reproduced in any material form whatsoever without the author's prior written permission.
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