caa a22 4500 445891491 CHVBK 20180317145617.0 cr unu---uuuuu 170323e20110101xx s 000 0 eng 10.1007/s10750-010-0470-x doi (NATIONALLICENCE)springer-10.1007/s10750-010-0470-x Effects of spatial scale on assessment of dissolved oxygen dynamics in the Atchafalaya River Basin, Louisiana [Elektronische Daten] [M. Kaller, W. Kelso, B. Halloran, D. Rutherford] Low levels of dissolved oxygen (DO) are potential stressors of fishes and invertebrates in freshwater and marine systems. Because of the incredibly nutrient-rich and warm nature of the Atchafalaya River Basin (ARB), microbial decomposition in backwater areas with limited flow often results in potentially stressful, if not lethal, DO levels during and after the annual flood pulse. As water temperatures increase and flood levels fall, DO levels often stratify, restricting fish habitat. In order to better guide development of water management projects, we investigated the relationship between DO and DO stratification (DOD; surface DO−bottom DO) and a suite of environmental variables potentially linked to DO and DOD. Based on continuous monitoring data collected from 2000 to 2007, we used a variable selection procedure to construct statistical generalized linear models to describe the relationship between DO levels and DOD and several potentially important predictor variables at three spatial scales: the entire sampled area of the ARB; individual water management units (WMUs) or subunits (WMSs); and individual sampling sites. We conducted these analyses using models that assume the normal distribution and compared them to models that incorporate alternate error terms based on other error term distributions. Goodness of fit statistics suggested that our analyses best described the relationship between DO and structuring variables at the WMU/WMS scale. At this scale, water temperature, river stage height, current velocity, and to a lesser extent, water depth appeared to be the most important measured variables that influence DO levels. We suggest that management decisions at the WMU and WMS scales will offer the greatest potential benefits for improvement of DO conditions in the ARB. Springer Science+Business Media B.V., 2010 Atchafalaya River nationallicence Dissolved oxygen nationallicence Water management nationallicence Bottomland hardwood forest nationallicence Kaller M. School of Renewable Natural Resources, Louisiana State University Agricultural Center, 70803, Baton Rouge, LA, USA aut Kelso W. School of Renewable Natural Resources, Louisiana State University Agricultural Center, 70803, Baton Rouge, LA, USA aut Halloran B. School of Renewable Natural Resources, Louisiana State University Agricultural Center, 70803, Baton Rouge, LA, USA aut Rutherford D. School of Renewable Natural Resources, Louisiana State University Agricultural Center, 70803, Baton Rouge, LA, USA aut Hydrobiologia Springer Netherlands 658/1(2011-01-01), 7-15 0018-8158 658:1<7 2011 658 10750 https://doi.org/10.1007/s10750-010-0470-x text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s10750-010-0470-x text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Kaller M. School of Renewable Natural Resources, Louisiana State University Agricultural Center, 70803, Baton Rouge, LA, USA aut NATIONALLICENCE 700 1- Kelso W. School of Renewable Natural Resources, Louisiana State University Agricultural Center, 70803, Baton Rouge, LA, USA aut NATIONALLICENCE 700 1- Halloran B. School of Renewable Natural Resources, Louisiana State University Agricultural Center, 70803, Baton Rouge, LA, USA aut NATIONALLICENCE 700 1- Rutherford D. School of Renewable Natural Resources, Louisiana State University Agricultural Center, 70803, Baton Rouge, LA, USA aut NATIONALLICENCE 773 0- Hydrobiologia Springer Netherlands 658/1(2011-01-01), 7-15 0018-8158 658:1<7 2011 658 10750 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer