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Incorporating spatially explicit obj...

Crowe, Kevin.

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Incorporating spatially explicit objectives into forest management planning.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Incorporating spatially explicit objectives into forest management planning./
作者:	Crowe, Kevin.
面頁冊數:	161 p.
附註:	Source: Dissertation Abstracts International, Volume: 66-01, Section: B, page: 0018.
Contained By:	Dissertation Abstracts International66-01B.
標題:	Agriculture, Forestry and Wildlife. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=NQ99459
ISBN:	0612994597

Incorporating spatially explicit objectives into forest management planning.
Crowe, Kevin.

Incorporating spatially explicit objectives into forest management planning. - 161 p.

Source: Dissertation Abstracts International, Volume: 66-01, Section: B, page: 0018.

Thesis (Ph.D.)--The University of British Columbia (Canada), 2005.

The increased incorporation of spatially explicit objectives into forest management planning has arisen from a concern over the ecological consequences of landscape-scale disturbance patterns through harvesting. Given the complexity of the ecosystems of forested landscapes, and our incomplete understanding of them, forest managers now commonly design plans to conserve landscape-scale biodiversity through the emulation of natural disturbance patterns. Harvest-scheduling is thereby constrained to imitate not only the aspatial age-class and cover-type distributions of a forest under natural disturbance, but also the patch-sizes and shapes of disturbed and undisturbed forest.

ISBN: 0612994597Subjects--Topical Terms:

783690
Agriculture, Forestry and Wildlife.

Incorporating spatially explicit objectives into forest management planning.
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245 1 0 $a Incorporating spatially explicit objectives into forest management planning.
300 $a 161 p.
500 $a Source: Dissertation Abstracts International, Volume: 66-01, Section: B, page: 0018.
500 $a Adviser: John Nelson.
502 $a Thesis (Ph.D.)--The University of British Columbia (Canada), 2005.
520 $a The increased incorporation of spatially explicit objectives into forest management planning has arisen from a concern over the ecological consequences of landscape-scale disturbance patterns through harvesting. Given the complexity of the ecosystems of forested landscapes, and our incomplete understanding of them, forest managers now commonly design plans to conserve landscape-scale biodiversity through the emulation of natural disturbance patterns. Harvest-scheduling is thereby constrained to imitate not only the aspatial age-class and cover-type distributions of a forest under natural disturbance, but also the patch-sizes and shapes of disturbed and undisturbed forest.
520 $a The objective of this research has been to make significant advances in formulating, solving, and understanding three difficult forest planning problems involving spatial objectives.
520 $a The first is a tactical planning problem where the objective is to maximize the net present value of a harvest-schedule, subject to the spatial constraint that stands may not aggregate to form harvest-openings greater than a maximum area. In Chapter II, two integer programming models were formulated and solved, using the branch and bound algorithm. It was found that: (a) the number of decision variables, and (b) the number of opening constraints, ultimately restricts this method from applicability to larger problem instances.
520 $a The second problem, treated in Chapter IV, concerns the efficient allocation of cutting rights among competing mills within the same management unit. A mixed integer goal programming model was formulated and applied to the Kootenay Lake Timber Supply Area of British Columbia. It was concluded that the model is can a useful tool by which to interactively explore British Columbia's appurtenance policy.
520 $a The third problem, treated in Chapter V, is a strategic planning problem: determining the optimal, sustainable rate of harvest while selecting spatially explicit old growth reserves. A mixed integer programming model was formulated and tested on three forests. It was concluded that the formulation appears to be integer-friendly, having solved problems instances containing up to 91,000 decision variables.
520 $a The general conclusion of this work is that integer programming is a powerful paradigm by which to incorporate the complexities of spatially explicit objectives within the pragmatic constraints of forest management planning. (Abstract shortened by UMI.)
590 $a School code: 2500.
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650 4 $a Economics, Agricultural. $3 626648
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710 2 0 $a The University of British Columbia (Canada). $3 626643
773 0 $t Dissertation Abstracts International $g 66-01B.
790 1 0 $a Nelson, John, $e advisor
790 $a 2500
791 $a Ph.D.
792 $a 2005
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