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USDA Forest Service / UNL Faculty Publications

Birds

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Full-Text Articles in Life Sciences

Temporal Fluctuation Scaling In Populations And Communities, Michael Kalyuzhny, Yishai Schreiber, Rachel Chocron, Curtis H. Flather, Ronen Kadmon, David A. Kessler, Nadav M. Shnerb Jan 2014

Temporal Fluctuation Scaling In Populations And Communities, Michael Kalyuzhny, Yishai Schreiber, Rachel Chocron, Curtis H. Flather, Ronen Kadmon, David A. Kessler, Nadav M. Shnerb

USDA Forest Service / UNL Faculty Publications

Taylor’s law, one of the most widely accepted generalizations in ecology, states that the variance of a population abundance time series scales as a power law of its mean. Here we reexamine this law and the empirical evidence presented in support of it. Specifically, we show that the exponent generally depends on the length of the time series, and its value reflects the combined effect of many underlying mechanisms. Moreover, sampling errors alone, when presented on a double logarithmic scale, are sufficient to produce an apparent power law. This raises questions regarding the usefulness of Taylor’s law for understanding ecological …


Carrying Capacity For Species Richness As A Context For Conservation: A Case Study Of North American Breeding Birds, Andrew J. Hansen, Linda Bowers Phillips, Curtis H. Flather, Jim Robinson-Cox Jan 2011

Carrying Capacity For Species Richness As A Context For Conservation: A Case Study Of North American Breeding Birds, Andrew J. Hansen, Linda Bowers Phillips, Curtis H. Flather, Jim Robinson-Cox

USDA Forest Service / UNL Faculty Publications

Aim To demonstrate that the concept of carrying capacity for species richness (SK) is highly relevant to the conservation of biodiversity, and to estimate the spatial pattern of SK for native landbirds as a basis for conservation planning.

Location North America.

Methods We evaluated the leading hypotheses on biophysical factors affecting species richness for Breeding Bird Survey routes from areas with little influence of human activities.We then derived a best model based on information theory, and used this model to extrapolate SK across North America based on the biophysical predictor variables. The predictor variables included the …