Food Webs and Niche Space
What is the minimum dimension of a niche space necessary to represent the overlaps among observed niches? This book presents a new technique for obtaining a partial answer to this elementary question about niche space. The author bases his technique on a relation between the combinatorial structure of food webs and the mathematical theory of interval graphs.


Professor Cohen collects more than thirty food webs from the ecological literature and analyzes their statistical and combinatorial properties in detail. As a result, he is able to generalize: within habitats of a certain limited physical and temporal heterogeneity, the overlaps among niches, along their trophic (feeding) dimensions, can be represented in a one-dimensional niche space far more often than would be expected by chance alone and perhaps always. This compatibility has not previously been noticed. It indicates that real food webs fall in a small subset of the mathematically possible food webs.


Professor Cohen discusses other apparently new features of real food webs, including the constant ratio of the number of kinds of prey to the number of kinds of predators in food webs that describe a community. In conclusion he discusses possible extensions and limitations of his results and suggests directions for future research.

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Food Webs and Niche Space
What is the minimum dimension of a niche space necessary to represent the overlaps among observed niches? This book presents a new technique for obtaining a partial answer to this elementary question about niche space. The author bases his technique on a relation between the combinatorial structure of food webs and the mathematical theory of interval graphs.


Professor Cohen collects more than thirty food webs from the ecological literature and analyzes their statistical and combinatorial properties in detail. As a result, he is able to generalize: within habitats of a certain limited physical and temporal heterogeneity, the overlaps among niches, along their trophic (feeding) dimensions, can be represented in a one-dimensional niche space far more often than would be expected by chance alone and perhaps always. This compatibility has not previously been noticed. It indicates that real food webs fall in a small subset of the mathematically possible food webs.


Professor Cohen discusses other apparently new features of real food webs, including the constant ratio of the number of kinds of prey to the number of kinds of predators in food webs that describe a community. In conclusion he discusses possible extensions and limitations of his results and suggests directions for future research.

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Food Webs and Niche Space

Food Webs and Niche Space

Food Webs and Niche Space

Food Webs and Niche Space

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Overview

What is the minimum dimension of a niche space necessary to represent the overlaps among observed niches? This book presents a new technique for obtaining a partial answer to this elementary question about niche space. The author bases his technique on a relation between the combinatorial structure of food webs and the mathematical theory of interval graphs.


Professor Cohen collects more than thirty food webs from the ecological literature and analyzes their statistical and combinatorial properties in detail. As a result, he is able to generalize: within habitats of a certain limited physical and temporal heterogeneity, the overlaps among niches, along their trophic (feeding) dimensions, can be represented in a one-dimensional niche space far more often than would be expected by chance alone and perhaps always. This compatibility has not previously been noticed. It indicates that real food webs fall in a small subset of the mathematically possible food webs.


Professor Cohen discusses other apparently new features of real food webs, including the constant ratio of the number of kinds of prey to the number of kinds of predators in food webs that describe a community. In conclusion he discusses possible extensions and limitations of his results and suggests directions for future research.


Product Details

ISBN-13: 9780691082028
Publisher: Princeton University Press
Publication date: 08/21/1978
Series: Monographs in Population Biology , #11
Pages: 208
Product dimensions: 5.50(w) x 8.50(h) x (d)

Table of Contents

Prefaceix
List of Tablesxi
List of Figuresxiii
1.Introduction3
2.A Relation between Food Webs and Niche Space6
2.1Interval Graphs and the Dimensionality of Niche Space6
2.2Food Webs Defined by Community, by Sources, and by Sinks20
2.3Food Webs of Single Habitats and of Composite Communities23
2.4Competition and Niche Overlap24
2.5Summary26
3.Which Food Webs Are Interval?28
3.1Sources of Data28
3.2Review of Food Webs31
3.3Summary40
4.Statistics of Food Webs41
4.1Why Statistics of Food Webs?41
4.2The Food Web Matrix44
4.2.1Are Predators and Prey Fussy?44
4.2.2The Ratio of Prey to Predators51
4.2.3The Length of Food Chains56
4.3The Niche Overlap Matrix58
4.3.1Six Models Based on the Food Web58
4.3.2The Distribution of Niche Overlaps71
4.4Summary73
5.Frequencies of Interval Food Webs in Observed and Monte Carlo Samples75
5.1Matching Food Web Characteristics75
5.2Matching Niche Overlap81
5.3Calibrating the Lottery86
5.4Summary92
6.If Niche Space Is One-Dimensional93
6.1What Is the One Dimension?93
6.1.1Non-Uniqueness93
6.1.2Suggestions from the Food Web Studies95
6.1.3Suggestions from Other Studies97
6.2What Follows from One Dimension?100
6.3Why One Dimension?104
6.4Summary109
7.Extensions and Critique111
7.1Extensions of This Approach111
7.1.1Higher Dimensions111
7.1.2Nearly Interval Food Webs115
7.2Critique118
7.2.1Ambiguous Primitives118
7.2.2Statistical Shortcomings of the Data120
7.2.3Lack of Quantitative Content122
7.2.4Lack of Dynamic Theory124
7.3Summary125
8.Review of Open Problems126
8.1Introduction126
8.2Theoretical126
8.3Empirical129
Appendix 1Sample of Food Webs133
Appendix 2The Mean and Variance of Niche Overlap according to Six Food Web Models166
Appendix 3Expected Niche Overlaps Assuming Randomly Overlapping One-Dimensional Niches173
References and Author Index174
Index185
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