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SCIDIR_on1373985929 |
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230325s2023 cau ob 001 0 eng d |
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|a EBLCP
|b eng
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|c EBLCP
|d YDX
|d OPELS
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|d OCLCF
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|a 1374035608
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|a 9780443192388
|q electronic book
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|a 0443192383
|q electronic book
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|z 9780443192371
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|z 0443192375
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|a (OCoLC)1373985929
|z (OCoLC)1374035608
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|a QH541.15.M3
|b S54 2023
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|a 577.015118
|2 23/eng/20230427
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|a Sieniutycz, Stanislaw.
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|a Complexity and Complex Ecological Systems /
|c Stanislaw Sieniutycz.
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|a Amsterdam, Netherlands ;
|a Oxford, United Kingdom ;
|a Cambridge MA :
|b Elsevier,
|c [2023]
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|a 1 online resource (190 p.)
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|a text
|b txt
|2 rdacontent
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|a computer
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|2 rdamedia
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|a online resource
|b cr
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|a Includes bibliographical references and index.
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|a Intro -- Complexity and Complex Ecological Systems -- Copyright -- Contents -- Preface -- References -- Acknowledgments -- Chapter 1: Early works in ecology and ecological approaches -- 1.1. Introduction -- 1.2. Classical thermodynamics and the second law -- 1.3. Extended laws of thermodynamics -- 1.4. Dissipative structures, degraders, and related problems -- 1.5. Destructive entropy production -- 1.6. The origin of life: A brief introduction -- 1.7. Thermodynamics of ecosystems as energy degraders -- 1.8. Order from disorder and order from order
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|a Chapter 2: Further development of thermodynamic views in ecology -- 2.1. Introduction -- 2.2. Thermodynamics and ecology -- 2.3. Thermodynamics and living world -- 2.4. The origin of quantification: A brief introduction -- Chapter 3: Ascendant perspective of Ulanowicz -- 3.1. Introduction -- 3.2. A cause driving the development -- 3.3. Quantification of growth and development -- 3.4. System ascendancy -- Chapter 4: Genetic diversity and the spread of populations -- 4.1. Introduction -- 4.2. Methods -- 4.2.1. Model system -- 4.2.2. Genetic diversity -- 4.2.3. Population spread
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|a 4.2.4. Statistical models -- Mean population spread -- Variability in population spread -- Total population size -- Population density -- 4.3. Results -- 4.3.1. Mean population spread -- 4.3.2. Variability in population spread -- 4.3.3. Total population size -- 4.3.4. Population density -- 4.4. Discussion -- Appendix -- Chapter 5: Robust statistical inference for complex computer models -- 5.1. Introduction -- 5.2. Why does the model error affect statistics differently? -- 5.2.1. Case study -- 5.2.2. Model structure and introduced structural error -- 5.2.3. Statistical inference
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|a 5.2.4. Quantification of the error in inference -- 5.2.5. Comparison between calibrating a ``true�� model and a model with structural error -- 5.3. A toolbox for statistical inference in complex computer simulations -- 5.3.1. Weighting of data streams -- 5.3.2. Case study-Weighting of data streams -- 5.3.3. Bias correction after calibration -- Case study-Bias correction after calibration -- 5.3.4. Bias correction during calibration -- Case study-Bias correction during calibration -- 5.3.5. Correcting processes rather than outputs -- 5.4. Discussion
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|a 5.4.1. Which methods work to improve inference for biased system models? -- 5.4.2. Practical suggestions -- 5.4.3. Toward a statistical theory for robust inference in complex computer simulations -- Chapter 6: Biodiversity maintenance in food webs -- 6.1. Introduction -- 6.2. Toward trophic relationships of coastal and estuarine ecosystems -- 6.3. Benthic-pelagic coupling and sediment transport -- 6.4. Plecoptera (Stoneflies) -- 6.5. Mangrove trophic interactions and estuarine ecosystems -- 6.6. Spatial aspects of food webs -- 6.7. Summary -- Chapter 7: Dynamic food webs -- 7.1. Introduction
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|a 7.1.1. Multispecies assemblages, ecosystem development, and environmental change
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|a Description based on online resource; title from digital title page (viewed on April 27, 2023).
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|a Ecology
|x Mathematical models.
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|a Biocomplexity.
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|a Biocomplexity.
|2 fast
|0 (OCoLC)fst01737618
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|a Ecology
|x Mathematical models.
|2 fast
|0 (OCoLC)fst00901509
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|i Print version:
|a Sieniutycz, Stanislaw
|t Complexity and Complex Ecological Systems
|d San Diego : Elsevier,c2023
|z 9780443192371
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856 |
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|u https://sciencedirect.uam.elogim.com/science/book/9780443192371
|z Texto completo
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