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Home > Mathematics and Science Textbooks > Biology, life sciences > Life sciences: general issues > Computational biology / bioinformatics > Renewable Resource Management: Proceedings of a Workshop on Control Theory Applied to Renewable Resource Management and Ecology Held in Christchurch, New Zealand January 7 – 11, 1(40 Lecture Notes in Biomathematics)
Renewable Resource Management: Proceedings of a Workshop on Control Theory Applied to Renewable Resource Management and Ecology Held in Christchurch, New Zealand January 7 – 11, 1(40 Lecture Notes in Biomathematics)

Renewable Resource Management: Proceedings of a Workshop on Control Theory Applied to Renewable Resource Management and Ecology Held in Christchurch, New Zealand January 7 – 11, 1(40 Lecture Notes in Biomathematics)


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About the Book

As society becomes stressed by economic and population pressures, in turn, nature's renewable resources become stressed by harvesting pressures. For our own survival and euphoria, it is paramount that such resources remain as their name implies and not be driven to extinction through short term programs of over exploitation. Consideration of the harvesting of renewable resources leads to a simple question that was the theme of the workshop and is the focus of these proceedings: SUPPoRe you are assigned the role of manager for a specific renewable resource eco- system. How would you decide on harvesting policies so that the system can be exploited economically yet at the same time maintain the integrity of the system? This, of course, is a loaded question. First of all, it is not clear that there is ever anyone single decision maker who is able to set the rules for all of the harvesters in an exploited ecosystem. The political process is complicated and to some extent unpredictable. This aspect of the question is recognized to be important, but could not be addressed here. Assuming then that someone really is in charge, what would be involved in the * decision making process? As Clark points out, "there is no alternative but first to model the system. " We agree. However, if the original question was loaded, modeling is the adulterate.

Table of Contents:
Mathematical Models and Resource Management.- More Realistic Fishery Models: Cycles Collapse and Optimal Policy.- Age-Structure and Stability in Multiple-Age Spawning Populations.- Optimal Management of Optimal Foragers.- Modelling and Management of Fish Populations with High and Low Fecundities.- Adaptive Identification of Models Stabilizing under Uncertainty.- Computational Difficulties in the Identification and Optimization of Control Systems.- Economic Models of Fishery Management.- Vulnerability of a Prey-Predator Model under Harvesting.- Nonvulnerability of Two Species Interactions.- Estimating Controllability Boundaries for Uncertain Systems.- Estimating the Effect of Krill Harvesting on the Southern Ocean Ecosystem.- Appraisal of the Commercial Potential of the New Zealand Deepwater Fishery.- Subinjurious Maintenance Strategies for Optimal Control of Nematodes.- A Plant-Water Model with Implications for the Management of Water Catchments.- Mathematical Modelling of the Transport and Loss of Leachable Plant Nutrients in Field Soils.


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Product Details
  • ISBN-13: 9783540105664
  • Publisher: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
  • Publisher Imprint: Springer-Verlag Berlin and Heidelberg GmbH & Co. K
  • Height: 235 mm
  • No of Pages: 236
  • Returnable: N
  • Sub Title: Proceedings of a Workshop on Control Theory Applied to Renewable Resource Management and Ecology Held in Christchurch, New Zealand January 7 – 11, 1
  • ISBN-10: 3540105662
  • Publisher Date: 01 Apr 1981
  • Binding: Paperback
  • Language: English
  • Returnable: N
  • Series Title: 40 Lecture Notes in Biomathematics
  • Width: 155 mm


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Renewable Resource Management: Proceedings of a Workshop on Control Theory Applied to Renewable Resource Management and Ecology Held in Christchurch, New Zealand January 7 – 11, 1(40 Lecture Notes in Biomathematics)
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