caa a22 4500 467902925 CHVBK 20180406152824.0 cr unu---uuuuu 170328e20060601xx s 000 0 eng 10.1007/s10661-006-2766-x doi (NATIONALLICENCE)springer-10.1007/s10661-006-2766-x Energy-Based Land Use Predictors of Proximal Factors and Benthic Diatom Composition in Florida Freshwater Marshes [Elektronische Daten] [Charles Lane, Mark Brown] The Landscape Development Intensity index (LDI), which is based on non-renewable energy use and integrates diverse land use activities, was compared to other measures of LU (e.g., %agriculture, %urban) to determine its ability for predicting benthic diatom composition in freshwater marshes of peninsular Florida. In this study, 70 small, isolated herbaceous marshes located along a human disturbance gradient (generally agricultural) throughout peninsular Florida were sampled for benthic diatoms and soil and water physical/chemical parameters (i.e., TP, TKN, pH, specific conductance, etc.). Landscape measures of percent agriculture, percent urban, percent natural, and LDI index values were calculated for a 100 m buffer around each site. The strongest relationships using Mantel's r statistic, which ranges from −1 to 1, were found between benthic diatom composition, the combined soil and water variables, and LDI scores (r=0.51, P<0.0001). Although similar, soil and water variables alone (r=0.45, P<0.0001) or with percent agriculture or percent natural were not as strongly correlated (both Mantel's r=0.46, P<0.0001). Little urban land use was found in the areas surrounding the study wetlands. Diatom data were clustered using flexible beta into 2 groups, and stepwise discriminant analysis identified specific conductance, followed by LDI score, soil pH, water total phosphorus, and ammonia, as cluster-separating variables. The LDI explained slightly more of the variation in species composition than either percent agriculture or percent natural, perhaps because the LDI can combine disparate land uses into a single quantitative value. However, the ecological significance of the difference between land use metrics and diatom composition is controvertible, and additional tests including more varied land uses appear warranted. Springer Science + Business Media, Inc., 2006 agriculture nationallicence assessment nationallicence benthic diatoms nationallicence Florida nationallicence emergy nationallicence isolated marsh nationallicence landscape nationallicence LDI nationallicence wetland nationallicence Lane Charles H.T. Odum Center for Wetlands, Department of Environmental Engineering Sciences, University of Florida, P.O. Box 116350, 32611-6350, Gainesville, FL, USA aut Brown Mark H.T. Odum Center for Wetlands, Department of Environmental Engineering Sciences, University of Florida, P.O. Box 116350, 32611-6350, Gainesville, FL, USA aut Environmental Monitoring and Assessment Kluwer Academic Publishers 117/1-3(2006-06-01), 433-450 0167-6369 117:1-3<433 2006 117 10661 https://doi.org/10.1007/s10661-006-2766-x text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s10661-006-2766-x text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Lane Charles H.T. Odum Center for Wetlands, Department of Environmental Engineering Sciences, University of Florida, P.O. Box 116350, 32611-6350, Gainesville, FL, USA aut NATIONALLICENCE 700 1- Brown Mark H.T. Odum Center for Wetlands, Department of Environmental Engineering Sciences, University of Florida, P.O. Box 116350, 32611-6350, Gainesville, FL, USA aut NATIONALLICENCE 773 0- Environmental Monitoring and Assessment Kluwer Academic Publishers 117/1-3(2006-06-01), 433-450 0167-6369 117:1-3<433 2006 117 10661 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer