Accounting for Spatial Population Structure in Stock Assessment: Past, Present, and Future*
نویسندگان
چکیده
Stock identification has been an important prerequisite for stock assessment throughout its history. The earliest evaluations of recruitment variability recognized that understanding the spatial scale of a fishery resource is essential for studying population dynamics. A paradigm of stock structure was based on closed migration circuits and geographic variation of phenotypic traits and formed a premise for fishery modeling conventions in the mid-1900s. As genetic techniques developed in the late 1900s, the “stock concept” was refined to include a degree of reproductive isolation. Realization that there was no single method that addressed the various assumptions of stock assessment and needs of fishery management prompted a more holistic view of population structure that called for multiple sources of demographic and genetic data. Recent applications of advanced techniques challenge the traditional view of populations as geographically distinct units with homogeneous vital rates and isolation from adjacent resources. More complex concepts such as metapopulations and “contingent theory” may be more applicable to many fishery resources with sympatric population structure. These more complex patterns of population structure have been incorporated into some advanced stock assessment techniques and metapopulation models that account for movement among areas and sympatric heterogeneity. Wider application of spatially explicit models in future stock assessments will require clear identification of stock components, evaluating movement rates and determining the degree Chapter 22 Accounting for Spatial Population Structure in Stock Assessment: Past, Present, and Future* Steven X. Cadrin and David H. Secor S.X. Cadrin NOAA/UMass Cooperative Marine Education and Research Program, School for Marine Science & Technology, 838 South Rodney French Boulevard, New Bedford, MA 02744-1221, USA e-mail: [email protected] D.H. Secor University of Maryland Center for Environmental Science, Chesapeake Biological Laboratory, 1 William St., Solomons, MD 20688, USA e-mail: [email protected] * Manuscript submitted for Proceedings of the AIFRB 50th Anniversary Symposium “Future of Fishery Science in North America”, February 13–15, 2007, Seattle WA R.J. Beamish and B.J. Rothschild (eds.), The Future of Fisheries Science in North America, 405 Fish & Fisheries Series, © Springer Science + Business Media B.V. 2009 406 S.X. Cadrin and D.H. Secor of reproductive isolation. Because spatial structure affects how populations respond to fisheries, incorporation of heterogeneous patterns and movement in stock assessment models should improve advice for fishery management.
منابع مشابه
Clinical reasoning assessment through medical expertise theories: past, present and future directions
Exploration into the concept of "medical expert" dates back to more than 50 years ago, yet yielding three leading theories in the area of clinical reasoning, namely, knowledge structure, hypothetic-deductive, and dual process. Each theory defines “medical expert” in a dissimilar way. Therefore, the methods of assessment through which the experts are identified have been changed during the tim...
متن کاملTo Study The Effect of Investor Protection on Future Stock Price Crash Risk
Managers are responsible for providing financial statements and they might try to make a good picture of their firm's conditions. Therefore, they try to delay the disclosure of bad news and release the good news as soon as possible. The ten-dency of managers toward hiding bad news increases the stock price crash risk. The protection of investor is one of the factors that can prevent from fallin...
متن کاملPresenting a Model for Portfolio Risk Premium Assessment: Evidence from the Tehran Stock Exchange
This study aimed to present a model for portfolio risk premium assessment of companies listed in Tehran Stock Exchange. In order to achieve this purpose, monthly data of 150 companies listed in Tehran Stock Exchange during 2007-2017 was used. In this study, the predictive powers of FamaFrench three-factor model [11], Carhart four-factor model [1], Fama - French five-factor model [24], Brousseau...
متن کاملInvestigating the Effect of Internal Rate of Return on Cash Re-cycling on the Abnormal Returns of Companies Accepted in Tehran Stock Exchange
Return on investment is a driving force that motivates and is a reward for investors. Investment returns are important for investors, in order for the entire investment game to be realized. Evaluating efficiency is the only logical way (Before risk assessment) that investors can do to compare alternative and different investments. Measuring real returns (relative to the past) is needed to bette...
متن کاملChaotic Test and Non-Linearity of Abnormal Stock Returns: Selecting an Optimal Chaos Model in Explaining Abnormal Stock Returns around the Release Date of Annual Financial Statements
For many investors, it is important to predict the future trend of abnormal stock returns. Thus, in this research, the abnormal stock returns of the listed companies in Tehran Stock Exchange were tested since 2008- 2017 using three hypotheses. The first and second hypotheses examined the non-linearity and non-randomness of the abnormal stock returns ′ trend around the release date of annual fin...
متن کامل