Evaluating habitat associations of a fish assemblage at multiple scales in a minimally disturbed stream on the Edwards Plateau, central Texas

2013 ◽  
Author(s):  
Brandon Cheek ◽  
◽  
Timothy Grabowski
2005 ◽  
Vol 26 (3) ◽  
pp. 289-329 ◽  
Author(s):  
Peter Pagoulatos

This article presents an experimental study concerning the use of thermally altered stone, commonly referred to as fire-cracked, or burned rock. A series of controlled cooking experiments were initiated as limestone cobbles were placed within a prepared earth-oven and re-heated; this type of earth-oven is similar to those found within prehistoric burned rock mounds on the Edwards Plateau of central Texas. Twelve experiments were conducted in this study, as four different sets of cobble assemblages were each re-heated three times, at six, twelve, twenty-four, and forty-eight hour intervals. These heated limestone cobbles were then analyzed for thermal alteration characteristics such as color change, cracking, and spalling, for comparative purposes. Quantitative analyses were then applied to the data in order to establish whether different patterns of thermal alteration exist dependent upon short-term and long-term re-uses.


2019 ◽  
Vol 11 (1) ◽  
pp. 33-45
Author(s):  
Jillian R. Groeschel-Taylor ◽  
Seiji Miyazono ◽  
Timothy B. Grabowski ◽  
Gary P. Garrett

Abstract Predicting how stream fishes may respond to habitat restoration efforts is difficult, in part because of an incomplete understanding of how basic biological parameters such as growth and ontogenetic habitat shifts interact with flow regime and riverscape ecology. We assessed age-specific Guadalupe Bass Micropterus treculii habitat associations at three different spatial scales in the South Llano River, a spring-fed stream on the Edwards Plateau of central Texas, and the influence of habitat and flow regime on growth. We classified substrates using a low-cost side-scan sonar system. We used scale microstructure to determine age and to back-calculate size at age. Over 65% of captured Guadalupe Bass were age 2 or age 3, but individuals ranged from 0 to 7 y of age. Habitat associations overlapped considerably among age classes 1–3+, but age-0 Guadalupe Bass tended to associate with greater proportions of pool and run mesohabitats with submerged aquatic vegetation. Although habitat metrics across multiple scales did not have a large effect on growth, river discharge was negatively correlated with growth rates. Understanding age-specific Guadalupe Bass habitat associations at multiple scales will increase the effectiveness of restoration efforts directed at the species by assisting in determining appropriate ecological requirements of each life-history stage and spatial scales for conservation actions.


The Condor ◽  
2006 ◽  
Vol 108 (1) ◽  
pp. 59-70 ◽  
Author(s):  
James Battin ◽  
Joshua J. Lawler

Abstract It has long been suggested that birds select habitat hierarchically, progressing from coarser to finer spatial scales. This hypothesis, in conjunction with the realization that many organisms likely respond to environmental patterns at multiple spatial scales, has led to a large number of avian habitat studies that have attempted to quantify habitat associations at multiple scales. Typically, multiscale habitat selection studies involve the assessment of habitat selection separately at two or more scales. Until recently, these studies have ignored the potential for cross-scale correlations: correlations among habitat variables across scales. If environmental patterns are correlated across the scales being analyzed, researchers using traditional analytical methods may reach erroneous conclusions about the presence or strength of habitat associations at a given scale. We discuss the ways in which cross-scale correlations manifest themselves in two types of habitat selection studies: (1) “constrained” designs that assume a hierarchical ordering of habitat selection decisions, and (2) “unconstrained” designs, which do not assume such a selection process. We demonstrate approaches for quantifying and modeling cross-scale correlations, including a simulation model, a variance decomposition technique, and a hierarchical modeling approach based on classification tree analysis. We conclude that cross-scale correlations have the potential to affect data interpretation in all types of habitat selection studies and that, even with careful attention to experimental design and the application of newly developed statistical techniques, it is likely their effects cannot be eliminated.


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