Andrew R. Thompson

University of Georgia Warnell School of Forest Resources Athens Georgia 30602 USA

None Available None Available http://coweeta.ecology.uga.edu Garry Grossman

University of Georgia Warnell School of Forest Resources Athens Georgia 30602 USA

(706) 542-1160 grossman@sparc.ecology.uga.edu http://cwt33.ecology.uga.edu/piprofiles/pro_benfield.html We examined the influence of physical variables and prey distribution on habitat use by longnose dace at the scale of individual stones, foraging patches (i.e. groups of stones separated by smaller than 12m), and stream reaches in summer and fall, 1996, and spring 1997. At the scale of individual stones, we failed to detect a significant correlation between prey density/stone and longnose dace for aging effort (# bites/stone), even though there were large differences (i.e. up to 200x) in prey density among individual stones. At the foraging patch scale, longnose dace chose patches with significanlty greater prey densities than were available from randomly selected stones in summer and spring, when prey were distributed in distinct patches, but did not select high-prey patches in fall, when prey were uniformly distributed. In addition, longnose dace avoided patches with depositional physical characteristics in all seasons. At the reach scale, longnose dace were signficnatly under-represented in depositional reaches in all seasons. Among erosional reaches, prey density was significantly different among reaches in all seasons, and prey density/reach was positively correlated with longnose dace density/reach in all seasons. Our results indicate that the spatial distribution of physical variable and prey concurrently affect habitat use by longnose dace at multiple scales. 1.Samples were collected along transect lines established at 4m intervals between permanent transect posts. A 1m² grid composed of 25 400cm² squares was placed upon the stream at 1m intervals along each transect line. 1 of the 25 squares was randomly selected and macroinvertebrates were collected from the stone closest to the center of each square with a Surber sampler. In the lab, depending on sample size, either 1/8, 1/4, 1/2, or all macroinvertebrates were identified to family and their head capsule width (distance accross eyes) was measured using a dissecting microscope and micrometer. Family specific regressions between head capsule width and volume were used to estimate macroinvertebrate volume. Coweeta LTER longnose dace Rhinichthys cataractae habitat use spatial heterogenteity temporal heterogeneity scale Must adhere to the Coweeta LTER Data Policy (See http://coweeta.ecology.uga.edu/webdocs/3/static/datapolicies.html). http://cwt33.ecology.uga.edu/summaries/summary3014.html Watershed 9, Ball Creek, 100m section directly above weir 9 1996-08-01 1997-06-01 Coweeta LTER Information Manager

Institute of Ecology University of Georgia Athens Georgia 30602 USA

(828) 524-2128 Ted Gragson

Institute of Ecology University of Georgia Athens Georgia 30602 USA

tgragson@earthlink.net principalInvestigator James Vose

Institute of Ecology University of Georgia Athens Georgia 30602 USA

jvose@fs.fed.us principalInvestigator Brian Kloeppel

Institute of Ecology University of Georgia Athens Georgia 30602 USA

kloeppel@sparc.ecology.uga.edu principalInvestigator The Coweeta LTER Research Program has evolved since 1980 from a site-based to a site- and region-based project examining the effects of disturbance and environmental gradients on biogeochemical cycling, and the underlying watershed ecosystem processes that regulate and respond to those cycles. The objective for the 2002-2008 research is to advance scientific understanding of the spatial, temporal, and decision-making components of land use and land-use change in the southern Appalachian Mountains over the last 200 years, and forecast patterns into the future 30 years. This will be accomplished by addressing ecological and socioeconomic aspects of land-use change while continuing long-term studies of environmental gradients and natural disturbance regimes. The result will be a more complete understanding of ecological dynamics in the southern Appalachian Mountains that makes possible the development of reasonable forecasts of its future ecological state. | The guiding hypothesis for the proposed research is that the frequency, intensity, and extent of land use represents human decision-making in response to socioeconomic and bio-geophysical conditions with consequences that cascade through ecosystems. The research activities are organized into three initiatives: (1) Characterization of the Socio-Natural Template, (2) Ecosystem Responses to the Socio-Natural Template, and (3) Forecasting Ecosystem Responses to Changes in the Socio-Natural Template. The integrated scientific research will provide both a description as well as an explanation of the underlying causes of land use and the consequences of land-use change for southern Appalachian ecosystems and society. It thus recognizes the complexity of land use as a process and the research needs as defined in the LTER Program and the broader scientific community. National Science Foundation. Any opinions, findings, conclusions, or recommendations expressed in the material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation. uid=cwt,o=lter,dc=ecoinformatics,dc=org all public read 3014.csv 3014.csv 1 \n \n column , http://cwt33.ecology.uga.edu/data/3014.csv ROCK ROCK transect # and meter along transect at which prey were collected. example: "r4-3"= random stone along collected at meter 3 along transect 4. transect # and meter along transect at which prey were collected. example: "r4-3"= random stone along collected at meter 3 along transect 4. None Missing Value ORDER ORDER macroinvertebrate order macroinvertebrate order None Missing Value FAMILY FAMILY macroinvertebrate family macroinvertebrate family None Missing Value SIZE SIZE macroinvertebrate head capsule width (mm), measured with a dissecting microscope and calibrated micrometer millimeter real None Missing Value N N number of individuals of a specific family and head capsule size number of individuals of a specific family and head capsule size None Missing Value SUBS SUBS correction factor to account for subsampling (example: if 1/8 of a sample was identified, then the subsample correction factor was 8) correction factor to account for subsampling (example: if 1/8 of a sample was identified, then the subsample correction factor was 8) None Missing Value TOTAL N TOTAL N total number of macroinvertebrates of a specific family and head capsule size (after multiplication by subsample correction factor) total number of macroinvertebrates of a specific family and head capsule size (after multiplication by subsample correction factor) None Missing Value V OF 1 V OF 1 volume of 1 macroinvertebrate of a specific family and head capsule width volume of 1 macroinvertebrate of a specific family and head capsule width None Missing Value OT V = total volume of macroinvertebrates of a specific family and head capsule width (after multiplication by subsample correction factor) OT V = total volume of macroinvertebrates of a specific family and head capsule width (after multiplication by subsample correction factor) None Missing Value RK LENGTH RK LENGTH maximal length of foraged upon stone centimeter real None Missing Value RK WIDTH RK WIDTH maximal width of foraged upon stone centimeter real None Missing Value RK AREA RK AREA stone area (maximal length x maximal width) squareCentimeters real None Missing Value N/CM^2 N/CM^2 abundance density of macroinvertebrates of a specific family and head capsule width abundance density of macroinvertebrates of a specific family and head capsule width None Missing Value UL/CM^2 UL/CM^2 volume density of macroinvertebrates of a specific family and head capsule width volume density of macroinvertebrates of a specific family and head capsule width None Missing Value