Predictive Species and Habitat Modeling in Landscape Ecology, C. Ashton Drew; Yolanda F. Wiersma; Falk Huettmann

Автор: Hohwy Jakob
Название: Predictive Mind
ISBN: 0199686734 ISBN-13(EAN): 9780199686735
Издательство: Oxford Academ
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Описание: Jakob Hohwy explores a new theory in neuroscience: the idea that the brain is essentially a hypothesis-testing mechanism that attempts to minimise the error of its predictions about sensory input. He explains the rich and multifaceted character of our conscious perception, and argues that the mind has a fragile, indirect relation to the world.

Автор: Jessica Minor
Название: Informed Consent in Predictive Genetic Testing
ISBN: 3319174150 ISBN-13(EAN): 9783319174150
Издательство: Springer
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Цена: 15372.00 р.
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Описание: Informed Consent in Predictive Genetic Testing

Автор: Vasilis D. Valavanis
Название: Essential Fish Habitat Mapping in the Mediterranean
ISBN: 1402091400 ISBN-13(EAN): 9781402091407
Издательство: Springer
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Описание: This book presents the latest advances in Essential Fish Habitat (EFH) mapping and modeling and introduces the environmental approach to EFH identification through the combined use of latest technologies and advanced techniques.

Автор: M. Munawar; T. Edsall
Название: Environmental Assessment and Habitat Evaluation of the Upper Great Lakes Connecting Channels
ISBN: 9401053863 ISBN-13(EAN): 9789401053860
Издательство: Springer
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Автор: S.S. Bell; Earl D. McCoy; H.R. Mushinsky
Название: Habitat Structure
ISBN: 9401053634 ISBN-13(EAN): 9789401053631
Издательство: Springer
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Описание: We conceived the idea for this book after teaching a graduate seminar on `Habitat Complexity` at The University of South Florida. we organized a symposium to attract researchers working with a wide variety of organisms living in many habitats, but united in their interest in the topic of `habitat structure`.

Автор: Jeffrey K. Keller; Charles R. Smith
Название: Improving GIS-based Wildlife-Habitat Analysis
ISBN: 3319096079 ISBN-13(EAN): 9783319096070
Издательство: Springer
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Цена: 8384.00 р.
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Описание: Geographic Information Systems (GIS) provide a powerful tool for the investigation of species-habitat relationships and the development of wildlife management and conservation programs. However, the relative ease of data manipulation and analysis using GIS, associated landscape metrics packages, and sophisticated statistical tests may sometimes cause investigators to overlook important species-habitat functional relationships. Additionally, underlying assumptions of the study design or technology may have unrecognized consequences. This volume examines how initial researcher choices of image resolution, scale(s) of analysis, response and explanatory variables, and location and area of samples can influence analysis results, interpretation, predictive capability, and study-derived management prescriptions. Overall, most studies in this realm employ relatively low resolution imagery that allows neither identification nor accurate classification of habitat components. Additionally, the landscape metrics typically employed do not adequately quantify component spatial arrangement associated with species occupation. To address this latter issue, the authors introduce two novel landscape metrics that measure the functional size and location in the landscape of taxon-specific ‘solid’ and ‘edge’ habitat types. Keller and Smith conclude that investigators conducting GIS-based analyses of species-habitat relationships should more carefully 1) match the resolution of remotely sensed imagery to the scale of habitat functional relationships of the focal taxon, 2) identify attributes (explanatory variables) of habitat architecture, size, configuration, quality, and context that reflect the way the focal taxon uses the subset of the landscape it occupies, and 3) match the location and scale of habitat samples, whether GIS- or ground-based, to corresponding species’ detection locations and scales of habitat use.