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<br />550 GREGOR T. AUBLE ET AL. Ecological Applications <br />Vol. 4, No.3 <br />TABLE 1. Percentage of plots in each cover type containing selected species. Species with 10 or more total occurrences in <br />the 133 plots are listed in order of their score on DCA (Detrended Correspondence Analysis) Axis 1. Wetland indicator <br />status is from Reed (1988). <br /> <br />Cover type <br /> <br />Equisetum <br /> <br />% occurrence <br />Veronica anagallis-aquatica OBL 11 22 0 0 <br />Ranunculus cymbalaria OBL 19 35 3 0 <br />Epilobium ciliatum FAC 30 59 1 0 <br />Plantago major FAC 27 51 3 0 <br />Trifolium repens FACU 21 39 3 0 <br />Hordeumjubatum FAC 10 18 1 0 <br />Poa palustris FACW 34 59 7 0 <br />Eleocharis palustris OBL 41 71 9 0 <br />Melilotus alba FACU 14 20 6 0 <br />Mentha arvensis FACW 12 12 9 0 <br />Conyza canadensis UPL 27 49 4 0 <br />Phalaris arundinacea OBL 51 71 23 0 <br />Equisetum arvense FAC 16 18 10 0 <br />Acer negundo FACW 38 55 14 7 <br />Lactuca serriola FACU 10 12 6 0 <br />Euthamia occidentalis OBL 99 96 75 0 <br />Agrostis stolonifera FACW 103 100 77 7 <br />Agropyron sp. 22 6 28 0 <br />Aster hesperius OBL 12 0 17 0 <br />Carex lanuginosa OBL 57 35 57 7 <br />Apocynum sp. 30 22 28 0 <br />Cirsium arvense FACU 24 16 23 0 <br />Solidago sparsijlora UPL 13 22 1 7 <br />Verbena bracteata FACU 16 22 6 7 <br />Muhlenbergia racemosa FACU 66 57 54 7 <br />Juncus balticus FACW 22 8 26 0 <br />Verbascum thapsus UPL 18 31 1 13 <br />Carex nebrascensis OBL 21 6 25 7 <br />Poa compressa FACU 97 63 90 27 <br />Equisetum hyemale FACW 75 18 91 20 <br />Artemisia ludoviciana FACU 46 55 22 27 <br />Euphorbia serpyllifolia UPL 10 10 6 7 <br />Equisetum laevigatum FACW 60 24 61 40 <br />Chrysothamnus linifolius UPL 10 18 0 7 <br />Bromus tectorum UPL 25 2 16 87 <br />Heterotheca villosa UPL 20 6 7 80 <br />Sporobolus cryptandrus FACU 14 0 4 73 <br /> <br />* OBL = Obligate, >99% occurrence in wetlands; FACW = Facultative Wet, 67-99% occurrence in wetlands; FAC = <br />Facultative, 34-66% occurrence in wetlands; FACU = Facultative Upland, 1-33% occurrence in wetlands; UPL = Upland, <br />< 1 % occurrence in wetlands. <br /> <br />Species <br /> <br />Wetland <br />indicator <br />status* <br /> <br />sonably requested from hydrologic engineers. Our di- <br />rect-gradient prediction approach employs many ofthe <br />same conceptual elements, computational procedures, <br />and field methods as the Instream Flow Incremental <br />Methodology (Bovee 1982, Harris et al. 1985), which <br />is widely used to relate instream flow to fish habitat. <br />Relationships between vegetation and inundation <br />duration could be formulated at either the species or <br />cover-type level. Species tend to respond individual- <br />istically to environmental change, and this is the most <br />appropriate level for understanding details of a tem- <br />porally and spatially complex response. However, an <br />overall synthesis is difficult when a large number of <br />species are present. For this reason, we grouped the <br />species into distinct cover types that become the basic <br />units of vegetation description and change. The model <br />could also be used to predict changes in abundance of <br />individual species. <br /> <br />Total <br />occurrences <br /> <br />E1eocharis <br /> <br />Heterotheca <br /> <br />Finally, the basic output ofthe direct gradient model <br />is a statement about the new, quasi-equilibrium veg- <br />etation associated with a new flow regime. This is a <br />simplification of complex spatial and temporal re- <br />sponse potentials. However, it has the strong advantage <br />of being a single result, rather than a family of response <br />curves. An alternative, the dynamic simulation model, <br />naturally produces a family of output sequences in re- <br />sponse to sequences of hydrologic input (e.g., Pearlstine <br />et al. 1985). While these models are potentially more <br />accurate and precise, their use dictates another com- <br />plicated step to synthesize a family of possible vege- <br />tation responses. Vegetation response has to be rep- <br />resented simply enough to allow its inclusion as one <br />of many variables (e.g., fish habitat, water supply, hy- <br />dropower) considered in a water management decision. <br />Furthermore, dynamic simulation models require more <br />