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Journal ArticleDOI

Guild structure of the hubbard brook bird community: a multivariate approach'

R. T. Holmes, +2 more
- 01 Jun 1979 - 
- Vol. 60, Iss: 3, pp 512-520
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TLDR
It is suggested that foraging opportunities vary with height in a forest and are influenced by the physical and chemical characteristics of the plant species, which in turn affect the kinds and distributions of foraging sub- strates, the ways in which birds search for and find food, and the abundances of food resources.
Abstract
We examined the similarities and differences in the foraging patterns of 22 insectivo- rous bird species during their breeding season in the Hubbard Brook Experimental Forest, New Hampshire, USA. Using multivariate techniques (clustering of hyperdimensional Euclidean distances, principal components analysis, and Varimax rotated factor analysis), we distinguish 4 groups of species or guilds, each of which exploits food resources in a distinctly different way. Partitioning occurs primarily by (1) foraging height and height-related characters, (2) foraging locations within the forest canopy, and (3) differential use of tree species, foraging substrates and foraging maneuvers. The results indicate that the importance of vegetation height to bird species diversity is related (1) to foraging opportunities which differ along a gradient from ground level to the upper canopy and which are roughly indexed by measures of foliage height diversity (FHD), and (2) to the presence of the supporting branch and bole framework which provides a major distinct foraging region. We suggest that foraging opportunities vary with height in a forest and are influenced by the physical and chemical characteristics of the plant species, which in turn affect the kinds and distributions of foraging sub- strates, the ways in which birds search for and find food, and the abundances of food resources. The implications of these findings for understanding the structure of forest bird communities are discussed.

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Citations
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Journal ArticleDOI

Functional diversity: back to basics and looking forward

TL;DR: It is suggested that non-significant results have a range of alternate explanations that do not necessarily contradict positive effects of functional diversity, and areas for development of techniques used to measure functional diversity are suggested.
Journal ArticleDOI

Functional diversity (FD), species richness and community composition

TL;DR: A means for quantifying functional diversity that may be particularly useful for determining how functional diversity is related to ecosystem functioning is proposed, defined as the total branch length of a functional dendrogram.
Journal ArticleDOI

The Guild Concept and the Structure of Ecological Communities

TL;DR: A guild is defined as a group of species that exploit the same class of environmental resources in a similar way and has a position comparable in the classification of exploitation patterns to the genus in phylogenetic schemes.
Book ChapterDOI

Bray-curtis ordination: an effective strategy for analysis of multivariate ecological data

TL;DR: This article proposed principal component analysis (PCA), reciprocal averaging, and iterative stress minimization (ISM) techniques to deal with the distortion of the original multivariate data set.
MonographDOI

Biodiversity, Ecosystem Functioning, and Human Wellbeing: An Ecological and Economic Perspective

TL;DR: In an age of accelerating biodiversity loss, this timely and critical volume summarizes recent advances in biodiversity-ecosystem functioning research and explores the economics of biodiversity and ecosystem services.
References
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Journal ArticleDOI

Multivariate Data Analysis

TL;DR: In this paper, a six-step framework for organizing and discussing multivariate data analysis techniques with flowcharts for each is presented, focusing on the use of each technique, rather than its mathematical derivation.
Journal ArticleDOI

Hierarchical clustering schemes

TL;DR: A useful correspondence is developed between any hierarchical system of such clusters, and a particular type of distance measure, that gives rise to two methods of clustering that are computationally rapid and invariant under monotonic transformations of the data.
Book

A first course in factor analysis

TL;DR: In this paper, the authors present a basic understanding of factor analytic techniques so that readers can use them in their own research and critically evaluate their use by other researchers, both the underlying theory and correct application are emphasized.