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Skip to Search Results- 39Sustainable Forest Management Network
- 7OSRIN
- 5Stewart Weir Stewart Watson & Heinrichs
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- 3Athabasca Tar Sands Corridor Study Group
- 3D'Eon, Rob
- 62Oil Sands Research and Information Network (OSRIN)
- 42Sustainable Forest Management Network
- 39Sustainable Forest Management Network/Research Notes (Sustainable Forest Management Network)
- 23Oil Sands Research and Information Network (OSRIN)/Government of Alberta Reports
- 15Oil Sands Research and Information Network (OSRIN)/OSRIN Technical Reports
- 7Oil Sands Research and Information Network (OSRIN)/OSRIN Staff Reports
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A practical approach for comparing management strategies in complex forest ecosystems using meta-modelling toolkits
Download2009
Sustainable Forest Management Network
SFM Network Research Note Series No. 56
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1991
Knapik, L., Green, J. E., Wylie, C., Van Egmond, T. D., Paterson, L. R., Jones, I.
This manual - provides information on: • the basics of material extraction and processing, • planning of a pit or quarry operation from start-up to closure, and • selecting the best land use or uses for your reclaimed site, Important considerations in reclamation planning and methods for...
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2013-02-15
In a short period of time, the conversation around handling woody materials – deadwood such as logs, branches and stumps – has shifted dramatically. From piling and burning, to mulching and now towards keeping ‘whole logs’ on sites. The changes have led to confusion and this guide is intended to...
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2011-02-01
Recent reports from environmental non-governmental organizations (ENGOs) such as the Pembina Institute and the Environmental Law Centre in Canada, as well as investor groups such as Ceres and The Ethical Funds Company, have addressed the growing concern over environmental liabilities related to...
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Action Elimination and Plan Neighborhood Graph Search: Two Algorithms for Plan Improvement - Extended Version
Download2010
Nakhost, Hootan, Müller, Martin
Technical report TR10-01. Compared to optimal planners, satisficing planners can solve much harder problems but may produce overly costly and long plans. Plan quality for satisficing planners has become increasingly important. The most recent planning competition IPC-2008 used the cost of the...
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2013
Sturtevant, Nathan R., Valenzano, Richard, Schaeffer, Jonathan
While greedy best-first search (GBFS) is a popular algorithm for solving automated planning tasks, it can exhibit poor performance if the heuristic in use mistakenly identifies a region of the search space as promising. In such cases, the way the algorithm greedily trusts the heuristic can cause...