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Computational modeling for marine re...

Scott, Stephen Lewis.

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Computational modeling for marine resource management.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Computational modeling for marine resource management./
作者:	Scott, Stephen Lewis.
出版者:	Ann Arbor : ProQuest Dissertations & Theses, : 2016,
面頁冊數:	330 p.
附註:	Source: Dissertation Abstracts International, Volume: 78-06(E), Section: B.
Contained By:	Dissertation Abstracts International78-06B(E).
標題:	Natural resource management. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10189544
ISBN:	9781369527100

Computational modeling for marine resource management.
Scott, Stephen Lewis.

Computational modeling for marine resource management. - Ann Arbor : ProQuest Dissertations & Theses, 2016 - 330 p.

Source: Dissertation Abstracts International, Volume: 78-06(E), Section: B.

Thesis (Ph.D.)--George Mason University, 2016.

Many of the world's fisheries are experiencing significant declines in production due to excess harvesting, climate change, habitat loss, disease, and pollution. Developing effective policies to manage these marine resources is challenging, as estimates of resource growth and depletion are often uncertain, and socioeconomic and political factors often emphasize short-term gains over long-term outcomes. Policy makers need new techniques that account for the complex interactions among biological, fishermen behavioral, economic, and policy domains in fishery management.

ISBN: 9781369527100Subjects--Topical Terms:

589570
Natural resource management.

Computational modeling for marine resource management.
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500 $a Source: Dissertation Abstracts International, Volume: 78-06(E), Section: B.
500 $a Adviser: Robert Axtell.
502 $a Thesis (Ph.D.)--George Mason University, 2016.
520 $a Many of the world's fisheries are experiencing significant declines in production due to excess harvesting, climate change, habitat loss, disease, and pollution. Developing effective policies to manage these marine resources is challenging, as estimates of resource growth and depletion are often uncertain, and socioeconomic and political factors often emphasize short-term gains over long-term outcomes. Policy makers need new techniques that account for the complex interactions among biological, fishermen behavioral, economic, and policy domains in fishery management.
520 $a Classical bioeconomic methods are still widely used for marine policy analysis. These methods employ mathematical models expressing resource growth and harvest as a series of equations, providing an overview of the expected long-term trajectory of a natural resource system over time. More recently, policy analysts have begun using Management Strategy Evaluation (MSE), a methodology that includes stakeholder analysis, explicit definition of management goals and timelines, and prominent use of computational modeling techniques to project a range of possible future outcomes under various policy scenarios. Much of contemporary MSE modeling, however, still relies on classical bioeconomic techniques which have well known limitations.
520 $a This research demonstrates the use agent-based models (ABMs) as an alternative to classical bioeconomic methods for MSE in marine environments. Abstract, spatially explicit ABMs are used to model the biology of stock dynamics, behavioral interactions among fishermen, economic market factors, and various fishery management policies in three case studies of US commercial fisheries from 1980 to 2010. The results show that ABMs can provide useful insights for policy analysts applying MSE techniques in the assessment of marine resource management policies.
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