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Decision and control in uncertain resource systems

Stochastic processes --- Control theory --- Dynamic programming --- Natural resources --- Renewable natural resources --- Stochastic processes. --- Control theory. --- Dynamic programming. --- Natural resources. --- Renewable natural resources. --- Natural resources, Renewable --- Renewable resources --- Resources, Renewable natural --- National resources --- Resources, Natural --- Resource-based communities --- Resource curse --- Mathematical optimization --- Programming (Mathematics) --- Systems engineering --- Dynamics --- Machine theory --- Random processes --- Probabilities --- Economic aspects

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Decision and control in uncertain resource systems.

Stochastic processes

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Krill-it’s a familiar word that conjures oceans, whales, and swimming crustaceans. Scientists say they are one of most abundant animals on the planet. But when pressed, few people can accurately describe krill or explain their ecological importance. Antarctic krill have used their extraordinary adaptive skills to survive and thrive for millions of years in a dark, icy world far from human interference. But with climate change melting ice caps at the top and bottom of the world, and increased human activity and pollution, their evolutionary flexibility to withstand these new pressures may not be enough. Eminent krill scientist Stephen Nicol wants us to know more about this enigmatic creature of the sea. He argues that it’s critical to understand krill’s complex biology in order to protect them as the krill fishing industry expands. This account of Antarctic krill-one of the largest of eighty-five krill species-takes us to the Southern Ocean to learn firsthand the difficulties and rewards of studying krill in its habitat. Nicol lays to rest the notion that krill are simply microscopic, shrimplike whale food but are in fact midway up the food chain, consumers of phytoplankton and themselves consumed by whales, seals, and penguins. From his early education about the sex lives of krill in the Bay of Fundy to a krill tattoo gone awry, Nicol uses humor and personal stories to bring the biology and beauty of krill alive. In the final chapters, he examines the possibility of an increasingly ice-free Southern Ocean and what that means for the fate of krill-and us. Ocean enthusiasts will come away with a newfound appreciation for the complex ecology of a species we have much to learn from, and many reasons to protect.

Krill fisheries --- Commission for the Conservation of Antarctic Marine Living Resources. --- Fisheries --- Shellfish fisheries --- Aquatic biology. --- Ecology. --- Endangered ecosystems. --- Animal ecology. --- Wildlife management. --- Freshwater & Marine Ecology. --- Community & Population Ecology. --- Ecosystems. --- Animal Ecology. --- Fish & Wildlife Biology & Management. --- Animals --- Zoology --- Ecology --- Threatened ecosystems --- Biotic communities --- Nature conservation --- Balance of nature --- Biology --- Bionomics --- Ecological processes --- Ecological science --- Ecological sciences --- Environment --- Environmental biology --- Oecology --- Environmental sciences --- Population biology --- Hydrobiology --- Water biology --- Aquatic sciences --- Animal populations --- Game management --- Management, Game --- Management, Wildlife --- Plant populations --- Wildlife resources --- Natural resources --- Wildlife conservation --- Management --- Aquatic ecology . --- Community ecology, Biotic. --- Wildlife. --- Fish. --- Fish --- Pisces --- Aquatic animals --- Vertebrates --- Fishing --- Ichthyology --- Biocenoses --- Biocoenoses --- Biogeoecology --- Biological communities --- Biomes --- Biotic community ecology --- Communities, Biotic --- Community ecology, Biotic --- Ecological communities --- Ecosystems --- Natural communities --- Aquatic biology --- Antarctic Ocean. --- CCAMLR --- Commission pour la conservation de la faune et la flore marines de l'Antarctique --- Komissii͡a po sokhranenii͡u morskikh zhivykh resursov Antarktiki --- Comisión para la Conservación de los Recursos Vivos Marinos Antárticos --- Komissii︠a︡ po sokhranenii︠u︡ morskikh zhivykh resursov Antarktiki --- Southern Ocean

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This book describes a powerful and flexible technique for the modeling of behavior, based on evolutionary principles. The technique employs stochastic dynamic programming and permits the analysis of behavioral adaptations wherein organisms respond to changes in their environment and in their own current physiological state. Models can be constructed to reflect sequential decisions concerned simultaneously with foraging, reproduction, predator avoidance, and other activities. The authors show how to construct and use dynamic behavioral models. Part I covers the mathematical background and computer programming, and then uses a paradigm of foraging under risk of predation to exemplify the general modeling technique. Part II consists of five "applied" chapters illustrating the scope of the dynamic modeling approach. They treat hunting behavior in lions, reproduction in insects, migrations of aquatic organisms, clutch size and parental care in birds, and movement of spiders and raptors. Advanced topics, including the study of dynamic evolutionarily stable strategies, are discussed in Part III.

Animal behavior --- Animal behavior --- Animal ecology --- Animal ecology --- Mathematical models. --- Data processing. --- Mathematical models. --- Data processing.

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The modern ecologist usually works in both the field and laboratory, uses statistics and computers, and often works with ecological concepts that are model-based, if not model-driven. How do we make the field and laboratory coherent? How do we link models and data? How do we use statistics to help experimentation? How do we integrate modeling and statistics? How do we confront multiple hypotheses with data and assign degrees of belief to different hypotheses? How do we deal with time series (in which data are linked from one measurement to the next) or put multiple sources of data into one inferential framework? These are the kinds of questions asked and answered by The Ecological Detective. Ray Hilborn and Marc Mangel investigate ecological data much as a detective would investigate a crime scene by trying different hypotheses until a coherent picture emerges. The book is not a set of pat statistical procedures but rather an approach. The Ecological Detective makes liberal use of computer programming for the generation of hypotheses, exploration of data, and the comparison of different models. The authors' attitude is one of exploration, both statistical and graphical. The background required is minimal, so that students with an undergraduate course in statistics and ecology can profitably add this work to their tool-kit for solving ecological problems.

Biomathematics. Biometry. Biostatistics --- General ecology and biosociology --- Ecology --- Mathematical models --- Issue --- Mathematical models. --- Ecology - Mathematical models --- MONOGRAPHS --- ECOLOGY --- MATHEMATICAL MODELS