國立虎尾科技大學 |

Integrating Wildlife Management Goals into Quantitative Forest Planning.

Record Type:	Language materials, manuscript : Monograph/item
Title/Author:	Integrating Wildlife Management Goals into Quantitative Forest Planning./
Author:	Phillips, Casey Eugene.
Description:	1 online resource (531 pages)
Notes:	Source: Dissertations Abstracts International, Volume: 85-01, Section: B.
Contained By:	Dissertations Abstracts International85-01B.
Subject:	Wildlife management. -
Online resource:	click for full text (PQDT)
ISBN:	9798379870713

Integrating Wildlife Management Goals into Quantitative Forest Planning.
Phillips, Casey Eugene.

Integrating Wildlife Management Goals into Quantitative Forest Planning. - 1 online resource (531 pages)

Source: Dissertations Abstracts International, Volume: 85-01, Section: B.

Thesis (Ph.D.)--North Carolina State University, 2023.

Includes bibliographical references

Integrating wildlife management goals into forest planning presents multiple complex challenges. Forest growth and yield models that use different metrics than the habitat suitability models wildlife managers use to estimate habitat quality for wildlife species. Moreover, integrating wildlife habitat requirements into forest management planning requires future forest conditions to be linked quantitatively to the habitat requirements of specific wildlife species. Further, for a methodology to gain widespread acceptance, the analytical platform it is constructed on must be readily available used by forest planning practitioners. We used a modified Delphi method to qualitatively relate measured or predicted values within parameterized ranges of 11 vegetation structure and composition metrics to the potential of a forest stand to potential to provide habitat for 16 focal wildlife species. We chose predictive metrics from traditional timber inventory data (e.g., stand and stock data) and simulated outcomes across a 50-year horizon using the Forest Vegetation Simulator. We quantitatively related predicted conditions in a given forest stand to its potential to provide habitat for a combination of the selected focal species using an index derived from the metrics relevant to the focal wildlife species. We integrated the index values as accounting variables in a linear programming framework using the Woodstock Optimization Studio (the standard platform for planning analysis in the forest industry worldwide), which allows them to be tracked over the 50- year model horizon, constrained, or optimized directly as part of the model's objective function. We applied the model to study area of 49,453 hectare across 2,836 timber stands on public land and reported the trends in the harvest scheduling, habitat index values, and revenue under 13 formulations of the objective function maximizing habitat and revenue objectives. By scheduling more thinning treatments, index values under the habitat formulation increased faster and higher than those realized under the maximized revenue formulation, which scheduled more final harvest treatments to maximize undiscounted cashflows across the modelled horizon. In the case study, production possibilities analysis indicated worthwhile gains could be achieved for revenue objectives with minimal impacts to wildlife habitat objectives.

Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2024

Mode of access: World Wide Web

ISBN: 9798379870713Subjects--Topical Terms:

648147
Wildlife management.
Index Terms--Genre/Form:

554714
Electronic books.

Integrating Wildlife Management Goals into Quantitative Forest Planning.
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500 $a Source: Dissertations Abstracts International, Volume: 85-01, Section: B.
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502 $a Thesis (Ph.D.)--North Carolina State University, 2023.
504 $a Includes bibliographical references
520 $a Integrating wildlife management goals into forest planning presents multiple complex challenges. Forest growth and yield models that use different metrics than the habitat suitability models wildlife managers use to estimate habitat quality for wildlife species. Moreover, integrating wildlife habitat requirements into forest management planning requires future forest conditions to be linked quantitatively to the habitat requirements of specific wildlife species. Further, for a methodology to gain widespread acceptance, the analytical platform it is constructed on must be readily available used by forest planning practitioners. We used a modified Delphi method to qualitatively relate measured or predicted values within parameterized ranges of 11 vegetation structure and composition metrics to the potential of a forest stand to potential to provide habitat for 16 focal wildlife species. We chose predictive metrics from traditional timber inventory data (e.g., stand and stock data) and simulated outcomes across a 50-year horizon using the Forest Vegetation Simulator. We quantitatively related predicted conditions in a given forest stand to its potential to provide habitat for a combination of the selected focal species using an index derived from the metrics relevant to the focal wildlife species. We integrated the index values as accounting variables in a linear programming framework using the Woodstock Optimization Studio (the standard platform for planning analysis in the forest industry worldwide), which allows them to be tracked over the 50- year model horizon, constrained, or optimized directly as part of the model's objective function. We applied the model to study area of 49,453 hectare across 2,836 timber stands on public land and reported the trends in the harvest scheduling, habitat index values, and revenue under 13 formulations of the objective function maximizing habitat and revenue objectives. By scheduling more thinning treatments, index values under the habitat formulation increased faster and higher than those realized under the maximized revenue formulation, which scheduled more final harvest treatments to maximize undiscounted cashflows across the modelled horizon. In the case study, production possibilities analysis indicated worthwhile gains could be achieved for revenue objectives with minimal impacts to wildlife habitat objectives.
533 $a Electronic reproduction. $b Ann Arbor, Mich. : $c ProQuest, $d 2024
538 $a Mode of access: World Wide Web
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650 4 $a Wildfowl. $3 1465457
650 4 $a Ornithology. $3 1136706
650 4 $a Environmental protection. $3 556606
650 4 $a Land use planning. $3 1182560
650 4 $a Harvest. $3 1465289
650 4 $a Agronomy. $3 1027735
650 4 $a Environmental health. $3 569475
650 4 $a Forestry. $3 668651
650 4 $a Wood sciences. $3 1179683
650 4 $a Zoology. $3 593903
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