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The Stochastic Life-Cycle Model (Slcm): Simulating the Population Dynamics of Anadromous Salmonids (Classic Reprint) - Softcover
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At best, deterministic surplus-production models capture only the cen tral tendencies of a population. When combined with models that link management actions to model parameters, deterministic models can pro vide a normative ranking of alternative strategies if three conditions hold. First, the model must be valid for the population in question, that is, the model should faithfully mimic the population's underlying dynamics. Sec ond, the population must be relatively robust so annual deviations from the expected behavior do not have long-term repercussions. And third, model parameters must be estimated accurately. In a sense, we can never be certain that these conditions hold true. We can be more confident with populous stocks where sufficient data provide a convincing argument for the model's use. Unfortunately, this is not the case for many stocks of concern, such as those Within the Columbia River Basin and other coastal streams of the Pacific Northwest. About the Publisher Forgotten Books publishes hundreds of thousands of rare and classic books. Find more at www.forgottenbooks.com This book is a reproduction of an important historical work. Forgotten Books uses state-of-the-art technology to digitally reconstruct the work, preserving the original format whilst repairing imperfections present in the aged copy. In rare cases, an imperfection in the original, such as a blemish or missing page, may be replicated in our edition. We do, however, repair the vast majority of imperfections successfully; any imperfections that remain are intentionally left to preserve the state of such historical works."synopsis" may belong to another edition of this title.
- PublisherForgotten Books
- Publication date2018
- ISBN 10 1390458032
- ISBN 13 9781390458039
- BindingPaperback
- LanguageEnglish
- Number of pages41
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The Stochastic Life-Cycle Model (Slcm) (Classic Reprint)
Print on DemandSeller: Forgotten Books, London, United Kingdom
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Paperback. Condition: New. Print on Demand. This book delves into the complex world of anadromous salmonid populations, exploring the factors that influence their survival and abundance. The author, drawing on decades of research and field observation, presents a compelling argument for the use of stochastic models in understanding and managing these valuable fish populations. These models, unlike deterministic models that rely on rigid mathematical rules, incorporate the inherent uncertainty and variability of natural processes. The book explores the limitations of traditional deterministic models in fisheries science, highlighting their inability to capture the full range of natural fluctuations and unpredictable events that can significantly impact populations. It argues that incorporating stochasticity ΓΆβ β the random element of chance ΓΆβ β is crucial for understanding and predicting population dynamics, particularly for threatened or endangered species. The author outlines the development and application of a groundbreaking model, the Stochastic Life-Cycle Model (SLCM), which simulates the various stages of an anadromous salmonid's life cycle. The book explores the complexities of the model, including its capacity to simulate density-dependent mechanisms, juvenile passage, and adult recovery. It further explores the importance of calibration, sensitivity analysis, and paired comparisons in ensuring the accuracy and reliability of model results. Ultimately, this book provides a comprehensive framework for understanding and managing anadromous salmonid populations in the face of natural variability and uncertainty, offering valuable insights for fisheries managers, researchers, and policymakers seeking to ensure the long-term health and sustainability of these iconic fish populations. This book is a reproduction of an important historical work, digitally reconstructed using state-of-the-art technology to preserve the original format. In rare cases, an imperfection in the original, such as a blemish or missing page, may be replicated in the book. print-on-demand item. Seller Inventory # 9781390458039_0
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