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Spatial and temporal patterns in mod...

Berkley, Heather Anne.

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Spatial and temporal patterns in modeling marine fisheries.

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Spatial and temporal patterns in modeling marine fisheries./
Author:	Berkley, Heather Anne.
Description:	106 p.
Notes:	Source: Dissertation Abstracts International, Volume: 70-03, Section: B, page: 1563.
Contained By:	Dissertation Abstracts International70-03B.
Subject:	Biology, Oceanography. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3350330
ISBN:	9781109081305

Spatial and temporal patterns in modeling marine fisheries.
Berkley, Heather Anne.

Spatial and temporal patterns in modeling marine fisheries. - 106 p.

Source: Dissertation Abstracts International, Volume: 70-03, Section: B, page: 1563.

Thesis (Ph.D.)--University of California, Santa Barbara, 2009.

In the modeling of near-shore fisheries, it is important to realistically simulate larval dispersal, accounting for many oceanographic processes. This is especially vital for species with relatively sessile adults because the only long-distance migration occurs during the pelagic larval stage. I used stochastic dispersal of larvae that was correlated over the source and settlement locations, which was derived from oceanographic modeling of passive larvae transported by turbulent eddies. I studied the temporal and spatial patterns that were generated in the fish population by this form of stochastic dispersal. I also looked at how these patterns and variability in the population changed with different intensities of harvest. Then, I focused on the impact of this type of dispersal on two similar species of fish that compete for resources at the settlement locations. Decorrelation in the settlement of the two species, which is generated by the stochastic dispersal, allows them to coexist when theory would otherwise predict they would not. Nonlinear averaging of the variable settlement gives the weaker species higher-than-average recruitment, so it can invade when rare. This turbulence-driven method of dispersal is a new mechanism for species coexistence.

ISBN: 9781109081305Subjects--Topical Terms:

783691
Biology, Oceanography.

Spatial and temporal patterns in modeling marine fisheries.
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100 1 $a Berkley, Heather Anne. $3 1675849
245 1 0 $a Spatial and temporal patterns in modeling marine fisheries.
300 $a 106 p.
500 $a Source: Dissertation Abstracts International, Volume: 70-03, Section: B, page: 1563.
500 $a Adviser: Bruce E. Kendall.
502 $a Thesis (Ph.D.)--University of California, Santa Barbara, 2009.
520 $a In the modeling of near-shore fisheries, it is important to realistically simulate larval dispersal, accounting for many oceanographic processes. This is especially vital for species with relatively sessile adults because the only long-distance migration occurs during the pelagic larval stage. I used stochastic dispersal of larvae that was correlated over the source and settlement locations, which was derived from oceanographic modeling of passive larvae transported by turbulent eddies. I studied the temporal and spatial patterns that were generated in the fish population by this form of stochastic dispersal. I also looked at how these patterns and variability in the population changed with different intensities of harvest. Then, I focused on the impact of this type of dispersal on two similar species of fish that compete for resources at the settlement locations. Decorrelation in the settlement of the two species, which is generated by the stochastic dispersal, allows them to coexist when theory would otherwise predict they would not. Nonlinear averaging of the variable settlement gives the weaker species higher-than-average recruitment, so it can invade when rare. This turbulence-driven method of dispersal is a new mechanism for species coexistence.
590 $a School code: 0035.
650 4 $a Biology, Oceanography. $3 783691
650 4 $a Environmental Sciences. $3 676987
650 4 $a Agriculture, Fisheries and Aquaculture. $3 1020913
690 $a 0416
690 $a 0768
690 $a 0792
710 2 $a University of California, Santa Barbara. $b Environmental Science & Management. $3 1027886
773 0 $t Dissertation Abstracts International $g 70-03B.
790 1 0 $a Kendall, Bruce E., $e advisor
790 1 0 $a Siegel, David A. $e committee member
790 1 0 $a Lenihan, Hunter S. $e committee member
790 $a 0035
791 $a Ph.D.
792 $a 2009
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3350330