An age-structured population model for horseshoe crabs in the Delaware Bay area to assess harvest and egg availability for shorebirds
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Abstract
The objective of this simulation study was to create an age-structured population model for horseshoe crabs (Limulus polyphenols) in the Delaware Bay region using best available estimates of age-specific mortality and recent harvest levels. Density dependence was incorporated using a spatial model relating egg mortality with abundance of spawning females. Combinations of annual female harvest (0, 50, 100, and 200 thousand), timing of female harvest (before or after spawning), and three levels of density-dependent egg mortality were simulated. The probability of the population increasing was high (> 80%) with low and medium egg mortality and harvest less than 200 thousand females per year. Under the high egg mortality case, the probability of the population increasing was < 50% regardless of harvest. Harvest occurring after spawning increased the probability of population growth. The number of eggs available to shorebirds was highest when egg mortality was lowest and female abundance was at its highest levels. Although harvest and egg mortality influenced population growth and food availability to shorebirds, sensitivity and elasticity analyses showed that early-life stage mortality, age 0 mortality in particular, was the most important parameter for population growth. Our modeling results indicate areas where further research is needed and suggest effective management will involve a combination of harvest management and actions to increase early juvenile survival.
Study Area
Publication type | Article |
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Publication Subtype | Journal Article |
Title | An age-structured population model for horseshoe crabs in the Delaware Bay area to assess harvest and egg availability for shorebirds |
Series title | Estuaries and Coasts |
DOI | 10.1007/BF02700170 |
Volume | 30 |
Issue | 2 |
Year Published | 2007 |
Language | English |
Publisher | SpringerLink |
Contributing office(s) | Leetown Science Center |
Description | 10 p. |
First page | 277 |
Last page | 286 |
Country | United States |
State | Delaware |
Other Geospatial | Delaware Bay |
Google Analytic Metrics | Metrics page |