Current Ornithology: Volume 2 by Frances C. James, Charles E. McCulloch (auth.), Richard F.

By Frances C. James, Charles E. McCulloch (auth.), Richard F. Johnston (eds.)

It isn't frequently century of scholarly job breaks with ease into halves, yet ornithology of the 1st half the 20 th century is obviously various from that of the second one part. The holiday truly may be marked in 1949, with the looks of Meyer and Schuz's Ornithologie ais Biologische Wissenschaft. ahead of this, ornithologists had tended to talk usually to different ornithologists, experiments (the checking out of hy­ potheses) have been unusual, and a priority for birds as birds used to be the dominant thread in our pondering. next to 1949, ornithologists have tended to turn into ever extra specialist of their targets and to include protocols of experimental biology into their paintings; extra importantly might be, they've got all started to teach a priority for birds as enterprises for the learn of biology. the various so much pleasant of contemporary ornithological reviews have come from reductionist learn ap­ proaches, and feature been entire through experts in such components as biochemistry, ethology, genetics, and ecology. a very good many reviews often depend upon statistical speculation checking out, permitting us to return to conclusions unmarred by way of wishful pondering. a few of us are able to inform the area that we're a "hard" technology, and maybe that point isn't so very far flung for many folks. quantity 2 examines a number of sturdy examples of overdue 20th-century ornithology.

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James (1971), Smith (1977), Collins et a1. (1982), Johnston (1977), Whitmore (1975), and others have used direct gradient analysis of vegetation structure to examine interspecific patterns of bird distribution without invoking the theoretical implications of resource limitation in their interpretations of the results. 4 for further comments on multivariate niche analysis. In phytosociological research, indirect ordination methods (= indirect gradient analysis) are used most often (Noy-Meir and Whittaker, 1977).

The result was not a classification of associations into communities, but rather their display on a continuous axis. The subsequent development of phytogeography in Russia has extended this approach (Sobolev and Utekhin, 1973). By contrast, the leading early ecologists in the United States (Clements, 1904) interpreted compositional variation in plant associations as discrete communities and constructed classification schemes. Although methods of classification are often convenient and conceptually simple ways to describe variation, biologists who classify continuously varying phenomena risk forgetting the inherent limitations of forcing complex systems into discontinuous categories (Noy-Meir and Whittaker, 1977).

1. ,1978; Eberhardt, 1976). The most essential principles of good experimental design are that: 1. Variables under study should be fixed at more than one level during the experiment. A combination of variable levels allows estimation of their effects separately and simultaneously. 2. , 1978). Steps should be taken to assure that treatments are interspersed in space (Hurlbert, 1984). If randomization of treatments is not possible or advantageous, a systematic layout may be acceptable. 3. The conditions under which the experiment is conducted must be representative of or similar to the conditions under which the conclusions will be drawn.

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