Quantitative an alysis of marine biological communities field biology and environment

Most of this text is written at an introductory level, with a few topics that advance to more complex themes. Among the topics covered are plot/plotless sampling, biometrics, experimental design, game theory, optimization, time trends, modeling, and environmental impact assessments. Even readers new to quantitative methods will find the material accessible, with plenty of features to engage their interest, promote learning, and put their knowledge into practice: * One or more examples are provided to illustrate each individual quantitative technique presented in the text. * The accompanying CD-ROM features two multimedia programs, several statistical programs, help to run complex statistical programs, and additional information amplifying topics covered in the text. * References lead readers to additional information to pursue individual topics in greater depth. Quantitative Analysis of Marine Biological Communities, with its extensive use of examples, is ideal for undergraduate and graduate students in marine biology. Marine biologists, regardless of their level of experience, will also discover new approaches to quantitative analysis tailored to the particular needs of their field.

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Main Author: Bakus, Gerald J. autor/a
Format: Texto biblioteca
Language:eng
Published: Hoboken, New Jersey John Wiley & Sons, Inc. c200
Subjects:Biología marina, Modelos matemáticos, Comunidades bióticas, Biometría,
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id KOHA-OAI-ECOSUR:6737
record_format koha
institution ECOSUR
collection Koha
country México
countrycode MX
component Bibliográfico
access En linea
Fisico
databasecode cat-ecosur
tag biblioteca
region America del Norte
libraryname Sistema de Información Bibliotecario de ECOSUR (SIBE)
language eng
topic Biología marina
Modelos matemáticos
Comunidades bióticas
Biometría
Biología marina
Modelos matemáticos
Comunidades bióticas
Biometría
spellingShingle Biología marina
Modelos matemáticos
Comunidades bióticas
Biometría
Biología marina
Modelos matemáticos
Comunidades bióticas
Biometría
Bakus, Gerald J. autor/a
Quantitative an alysis of marine biological communities field biology and environment
description Most of this text is written at an introductory level, with a few topics that advance to more complex themes. Among the topics covered are plot/plotless sampling, biometrics, experimental design, game theory, optimization, time trends, modeling, and environmental impact assessments. Even readers new to quantitative methods will find the material accessible, with plenty of features to engage their interest, promote learning, and put their knowledge into practice: * One or more examples are provided to illustrate each individual quantitative technique presented in the text. * The accompanying CD-ROM features two multimedia programs, several statistical programs, help to run complex statistical programs, and additional information amplifying topics covered in the text. * References lead readers to additional information to pursue individual topics in greater depth. Quantitative Analysis of Marine Biological Communities, with its extensive use of examples, is ideal for undergraduate and graduate students in marine biology. Marine biologists, regardless of their level of experience, will also discover new approaches to quantitative analysis tailored to the particular needs of their field.
format Texto
topic_facet Biología marina
Modelos matemáticos
Comunidades bióticas
Biometría
author Bakus, Gerald J. autor/a
author_facet Bakus, Gerald J. autor/a
author_sort Bakus, Gerald J. autor/a
title Quantitative an alysis of marine biological communities field biology and environment
title_short Quantitative an alysis of marine biological communities field biology and environment
title_full Quantitative an alysis of marine biological communities field biology and environment
title_fullStr Quantitative an alysis of marine biological communities field biology and environment
title_full_unstemmed Quantitative an alysis of marine biological communities field biology and environment
title_sort quantitative an alysis of marine biological communities field biology and environment
publisher Hoboken, New Jersey John Wiley & Sons, Inc.
publishDate c200
work_keys_str_mv AT bakusgeraldjautora quantitativeanalysisofmarinebiologicalcommunitiesfieldbiologyandenvironment
_version_ 1762929836092817408
spelling KOHA-OAI-ECOSUR:67372023-03-18T12:26:18ZQuantitative an alysis of marine biological communities field biology and environment Bakus, Gerald J. autor/a textHoboken, New Jersey John Wiley & Sons, Inc.c2007engMost of this text is written at an introductory level, with a few topics that advance to more complex themes. Among the topics covered are plot/plotless sampling, biometrics, experimental design, game theory, optimization, time trends, modeling, and environmental impact assessments. Even readers new to quantitative methods will find the material accessible, with plenty of features to engage their interest, promote learning, and put their knowledge into practice: * One or more examples are provided to illustrate each individual quantitative technique presented in the text. * The accompanying CD-ROM features two multimedia programs, several statistical programs, help to run complex statistical programs, and additional information amplifying topics covered in the text. * References lead readers to additional information to pursue individual topics in greater depth. Quantitative Analysis of Marine Biological Communities, with its extensive use of examples, is ideal for undergraduate and graduate students in marine biology. Marine biologists, regardless of their level of experience, will also discover new approaches to quantitative analysis tailored to the particular needs of their field.Incluye bibliografía: páginas 380-410 e índice: páginas 411-435Preface.. Acknowledgments.. Contributors.. 1. Biological Sampling Design and Related Topics.. 1.1 Profiling Methods and Underwater Techniques.. 1.1.1 Introduction.. 1.1.2 Profiling a Beach.. 1.1.3 Underwater Profiles.. 1.1.4 Underwater Techniques.. 1.2 Sampling Populations.. 1.2.1 Introduction.. 1.2.2 Sampling Design.. 1.2.3 Physical-Chemical Factors.. 1.2.4 Timing of Sampling.. 1.2.5 Size of the Sampling Area.. 1.2.6 Scale.. 1.2.7 Modus Operandi.. 1.2.8 Sample Size or Number of Sample Units Required.. 1.3 Quantitative Sampling Methods.. 1.3.1 Introduction.. 1.3.2 Table of Random Numbers.. 1.3.3 Quadrat Shape.. 1.3.4 Optimal Quadrat Size.. 1.3.5 Simple Random Sampling.. 1.3.6 Haphazard (Convenience, Accidental, Arbitrary Sampling.. 1.3.7 Stratified Random Sampling.. 1.3.8 Systematic Sampling.. 1.3.9 Fixed Quadrats.. 1.3.10 Point Contact (Percentage Cover.. 1.3.11 Line and Belt (Strip Transects.. 1.3.12 Adaptive Sampling.. 1.3.13 Sequential Sampling.. 1.3.14 Rapid Sampling Methods.. 1.3.15 Introduction to Plotless Sampling.. 1.3.16 Best Guess or Estimation.. 1.3.17 Catch or Weight Per Unit Effort (CPUE.. 1.3.18 Coordinate Lines.. 1.3.19 Cluster Sampling.. 1.3.20 Introduction to Distance Measurements.. 1.3.21 Nearest Neighbor and Point to Nearest Object.. 1.3.22 Point-Center Quarter or Point Quarter Method.. 1.3.23 Line Intercepts.. 1.3.24 Strong Method.. 1.3.25 Weinberg Method.. 1.3.26 Nishiyama Method.. 1.3.27 Mark (or Tag and Recapture (Mark and Resight Techniques.. 1.3.28 Visual Methods for Fishes.. 1.3.29 Narcotizing Agents and Poison Stations.. 1.4 Other Methods of Estimating the Abundance of Populations.. 1.4.1 Comparison of Estimated Populations with Other Methods.. 1.4.2 Removal Trapping or Collecting.. 1.4.3 Other Methods.. 1.4.4 Large Scale Sampling.. 2. Types of Data, Standardizations and Transformations, Introduction to Biometrics, Experimental Design.. 2.1 Introduction.. 2.2 Types of Data2.3 Data Standardization or Normalization (Relativization.. 2.4 Data Transformation.. 2.5 Statistical Distributions and Procedures.. 2.6 Descriptive Statistics (Sample Statistics.. 2.7 Statistics with One or Two Variables.. 2.8 Experimental Design and Analysis.. 2.9 Power Analysis.. 2.10 Multiple Comparisons Tests.. 2.11 Nonparametric Tests, Covariance, Correlation, and Regression.. 2.12 Multivariate Statistics.. 2.13 Ranking Analysis (Nonparametric Correlation.. 2.14 Randomization Methods.. 2.15 General Linear Programming.. 2.16 Maximum Likelihood.. 2.17 Bayesian Statistics.. 2.18 How to Lie with Statistics.. 3. Quantitative Methods in Field Ecology and Other Useful Techniques and Information.. A. Introduction.. 3.1 Introduction.. B. Population Patterns.. 3.2 Distributions (Dispersion.. 3.3 Dispersal.. 3.4 Home Range.. 3.5 Random Walk.. 3.6 Feeding Ecology.. C. Population Growth.. 3.7 Size-frequency Distribution.. 3.8 Growth of Individuals in a Population.. 3.9 Natality.. 3.10 Mortality.. 3.11 Construction of Life Tables.. 3.12 Population Dynamics Models.. 3.13 Population Growth and Productivity.. 3.14 Null Models.. D. Diversity and Related Indices.. 3.15 Species Richness, Diversity, Evenness, and Dominance.. 3.16 Keystone Species.. 3.17 Homogeneity-Heterogeneity Indices.. 3.18 Niche Breadth.. 3.19 Niche Overlap.. 3.20 Concordance.. E. Advanced Topics.. 3.21 Game Theory.. 3.22 Optimality or Optimization Models.. 3.23 Transition Matrices.. 3.24 Fractals.. 3.25 Deterministic Chaos.. 3.26 Artificial Neural Networks.. 3.27 Expert Systems.. 3.28 Digitization, Image Processing, Image Measurement, and Image Analysis or Pattern Recognition.. 3.29 Multimedia Development.. 3.30 Landscape Ecology.. 3.31 Aquatic Ecotoxicology.. 3.32 Coastal Zone Management.. 3.33 Conservation and Environment.. 3.34 Environmental Impact Assessments.. 3.35 Analysis of DNA/RNA Sequences.. 3.36 Fuzzy Logic.. 3.37 Meta-Analysis4. Community Analyses: Similarity-Dissimilarity Indices, Cluster Analysis, Dendrograms, Analysis of Similarities, Indicator Species.. 4.1 Introduction.. 4.2 Methods of Handling Data.. 4.3 Measures of Similarity and Difference (Similarity and Dissimilarity.. 4.4 Cluster Analysis.. 4.5 Species-Site Groups.. 4.6 Mantel Test.. 4.7 Analysis of Similarities.. 4.8 Indicator Species Analysis.. 5. Community Analysis: Ordination and Other Multivariate Techniques.. 5.1 Introduction.. 5.2 Principal Component Analysis.. 5.3 Factor Analysis (FA.. 5.4 Redundancy Analysis.. 5.5 Correspondence Analysis (CA or Reciprocal Averaging (RA.. 5.6 Detrended Correspondence Analysis (DCA or Decorana.. 5.7 Nonmetric Multidimensional Scaling (MDS, NMDS, NMS, NMMDS.. 5.8 MANOVA and MANCOVA.. 5.9 Discriminant Analysis (DA (Discriminant Function Analysis, Canonical Variates Analysis.. 5.10 Principal Coordinate Analysis (PCoA (Metric Multidimensional Scaling.. 5.11 Canonical Correspondence Analysis (CCA.. 5.12 Multiple Regression (MR (Multiple Linear Regression.. 5.13 Path Analysis.. 5.14 Canonical Correlation Analysis (CANCOR.. 5.15 Canonical Variate Analysis (CVA.. 5.16 Multi-Response Permutation Procedures (MRPP.. 5.17 Other Multivariate Techniques.. 6. Time Trend Analysis.. A. Introduction.. 6.1 Introduction.. B. Time Series Analysis.. 6.2 Smoothing or Filtering Techniques.. 6.3 Serial Correlation (Auto- and Cross-Correlation.. 6.4 Autoregression.. C. Frequency Analysis.. 6.5 Frequency Analysis.. 7. Modeling and Systems Analysis.. 7.1 Introduction.. 7.2 Philosophy of Modeling.. 7.3 Model Components and Model Development.. 8. Marine Sampling and Measuring Devices.. 8.1 Introduction.. 8.2 Oceanographic Devices.. 8.3 Marine Bottom Sampling Devices.. 8.4 Marine Water Sampling Devices.. 8.5 Sampling Plankton, Bacteria and Viruses.. 8.6 Sampling Fishes.. 8.7 Sampling Reptiles, Birds and Mammals.. 8.8 Natural History Observations.. Appendices..Addendum.. References.. IndexMost of this text is written at an introductory level, with a few topics that advance to more complex themes. Among the topics covered are plot/plotless sampling, biometrics, experimental design, game theory, optimization, time trends, modeling, and environmental impact assessments. Even readers new to quantitative methods will find the material accessible, with plenty of features to engage their interest, promote learning, and put their knowledge into practice: * One or more examples are provided to illustrate each individual quantitative technique presented in the text. * The accompanying CD-ROM features two multimedia programs, several statistical programs, help to run complex statistical programs, and additional information amplifying topics covered in the text. * References lead readers to additional information to pursue individual topics in greater depth. Quantitative Analysis of Marine Biological Communities, with its extensive use of examples, is ideal for undergraduate and graduate students in marine biology. Marine biologists, regardless of their level of experience, will also discover new approaches to quantitative analysis tailored to the particular needs of their field.Para consultar el disco compacto se requiere: Adobe Acrobat, Windows media, Microsoft office word, PowerPointBiología marinaModelos matemáticosComunidades bióticasBiometríaURN:ISBN:0470044403URN:ISBN:9780470044407