Modeling Behavior and Population Dynamics Seabirds, Seals, and Marine Iguanas /
This monograph summarizes several decades of collaborations between ecologists and mathematicians, presenting novel applications in biological modeling. The authors are among the first researchers to pioneer the use of dynamical systems models to successfully describe and predict animal behavior in...
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| Główni autorzy: | , , |
|---|---|
| Korporacja: | |
| Format: | Elektroniczne E-book |
| Język: | angielski |
| Wydane: |
Cham :
Springer International Publishing : Imprint: Springer,
2023.
|
| Wydanie: | 1st ed. 2023. |
| Seria: | Interdisciplinary Applied Mathematics,
57 |
| Hasła przedmiotowe: | |
| Dostęp online: | https://doi.org/10.1007/978-3-031-34283-7 |
| Etykiety: |
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| 100 | 1 | |a Cushing, Jim M. |e author. |0 (orcid)0000-0003-1844-661X |1 https://orcid.org/0000-0003-1844-661X |4 aut |4 http://id.loc.gov/vocabulary/relators/aut | |
| 245 | 1 | 0 | |a Modeling Behavior and Population Dynamics |h [electronic resource] : |b Seabirds, Seals, and Marine Iguanas / |c by Jim M. Cushing, Shandelle M. Henson, James L. Hayward. |
| 250 | |a 1st ed. 2023. | ||
| 264 | 1 | |a Cham : |b Springer International Publishing : |b Imprint: Springer, |c 2023. | |
| 300 | |a XX, 289 p. 36 illus. |b online resource. | ||
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| 490 | 1 | |a Interdisciplinary Applied Mathematics, |x 2196-9973 ; |v 57 | |
| 505 | 0 | |a Influence of Environmental Factors on Animal Behavior: Univariate Models -- Influence of Environmental Factors on Animal Behavior: Multivariate Models -- Cannibalism and Climate Change -- Models of Population Dynamics -- Evolutionary Consequences -- Concluding Thoughts -- Appendix. | |
| 520 | |a This monograph summarizes several decades of collaborations between ecologists and mathematicians, presenting novel applications in biological modeling. The authors are among the first researchers to pioneer the use of dynamical systems models to successfully describe and predict animal behavior in relation to environmental changes. The text highlights the biological and mathematical techniques used in the research, including three main components: 1) large data sets on natural populations in the field; 2) mathematical models rigorously tied to data, which describe, explain, and predict behavioral dynamics in relation to environmental variables; and 3) simplified, proof-of-concept models to probe dynamic mechanisms, suggest testable hypotheses, and allow study of the consequences of environmental change and evolving traits. It is a suitable text for field ecologists interested in the modeling procedures and conclusions addressed therein, as well as mathematicians interested inapplications to population, ecological, and evolutionary dynamics. | ||
| 532 | 8 | |a Accessibility summary: This PDF does not fully comply with PDF/UA standards, but does feature limited screen reader support, described non-text content (images, graphs), bookmarks for easy navigation and searchable, selectable text. Users of assistive technologies may experience difficulty navigating or interpreting content in this document. We recognize the importance of accessibility, and we welcome queries about accessibility for any of our products. If you have a question or an access need, please get in touch with us at accessibilitysupport@springernature.com. | |
| 532 | 8 | |a No reading system accessibility options actively disabled | |
| 532 | 8 | |a Publisher contact for further accessibility information: accessibilitysupport@springernature.com | |
| 650 | 0 | |a Biomathematics. | |
| 650 | 0 | |a Geography |x Mathematics. | |
| 650 | 1 | 4 | |a Mathematical and Computational Biology. |
| 650 | 2 | 4 | |a Mathematics of Planet Earth. |
| 700 | 1 | |a Henson, Shandelle M. |e author. |4 aut |4 http://id.loc.gov/vocabulary/relators/aut | |
| 700 | 1 | |a Hayward, James L. |e author. |4 aut |4 http://id.loc.gov/vocabulary/relators/aut | |
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| 776 | 0 | 8 | |i Printed edition: |z 9783031342820 |
| 776 | 0 | 8 | |i Printed edition: |z 9783031342844 |
| 776 | 0 | 8 | |i Printed edition: |z 9783031342851 |
| 830 | 0 | |a Interdisciplinary Applied Mathematics, |x 2196-9973 ; |v 57 | |
| 856 | 4 | 0 | |u https://doi.org/10.1007/978-3-031-34283-7 |
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| 950 | |a Mathematics and Statistics (SpringerNature-11649) | ||
| 950 | |a Mathematics and Statistics (R0) (SpringerNature-43713) | ||