The Effects of Depression and Anxiety on Memory Performance

The effects of depression and anxiety, as assessed by MMPI D and Pt scales, on memory performance was examined in 3999 veterans who completed the California Verbal Learning Test (CVLT). Depressive symptoms (without anxiety) had an adverse effect on immediate recall of new information and the total amount (but not rate) of acquisition; however, retrieval and retention were unaffected. On the other hand, high levels of anxiety did not have significant detrimental effects on any aspect of memory functioning assessed including immediate recall, total amount acquired, retention, and retrieval of novel information. However, when depression was compounded by anxiety, there was not only an adverse effect on immediate recall and amount (but not rate) of acquisition, but also on the retrieval of newly learned information. We conclude that the presence of comorbid anxiety may, in part, account for the variability in previous research findings regarding the effects of depression on memory functioning

Corrigendum to “Recent changes in primary production and phytoplankton in the offshore region of southeastern Lake Michigan” [J. Great Lakes Res. 36 (Supplement 3) (2010) 20–29]

The authors regret that there is an error on the labels of two figures that were published in the paper referenced above. For Figs. 5b, c, and d and 7b and c the y-axes have the wrong labels. The following are the correct y-axis labels: Fig. 5b — the y-axis should range from 0 to 5, Fig. 5c — the y-axis should range from 0 to 2, Fig. 5d — the y-axis label should range from 0 to 3, Fig. 7b — the y-axis should range from 0 to 40, and for Fig. 7c — the y-axis should range from 0 to 50

Corrigendum to “Recent changes in primary production and phytoplankton in the offshore region of southeastern Lake Michigan” [J. Great Lakes Res. 36 (Supplement 3) (2010) 20–29]

The authors regret that there is an error on the labels of two figures that were published in the paper referenced above. For Figs. 5b, c, and d and 7b and c the y-axes have the wrong labels. The following are the correct y-axis labels: Fig. 5b — the y-axis should range from 0 to 5, Fig. 5c — the y-axis should range from 0 to 2, Fig. 5d — the y-axis label should range from 0 to 3, Fig. 7b — the y-axis should range from 0 to 40, and for Fig. 7c — the y-axis should range from 0 to 50

Radioecology of benthic fishes off Oregon, U.S.A.

Gamma-emitting radionuclides were found in benthic fishes from depths of 50-280O m off the Oregon coast from 1964-1971. 65Zn, 60Co, 54Mn, 144Ce, 137Cs and 40K were present. Zinc-65, originating mainly from the nuclear reactors on the Columbia River, was the predominant artifically-induced radionuclide. Levels of 6Zn per g and specific activities of 65Zn decreased markedly in several species of fishes between 1965 and 1971 because of the shutdown of reactors. This decrease was greater for small than large Lyopsetta exilis during 19 70-1971. Specific activities decreased with increasing depth, both for individual species inhabiting broad depth ranges and for different species inhabiting different depths. Specific activities of 65Zn were inversely related to body size for L. exilis and Sebastolobus. Other variations of 65Zn were related to trophic position. Fishes that preyed on low trophic level pelagic animals had higher specific activities than fishes that preyed on benthic invertebrates. Such pelagic feeders may play an important role in accelerating the transport of some radionuclides or elements to the sea floor.Keywords: Marine radioecology, benthic fishe

Anatomy of the recurrent coastal sediment plume in Lake Michigan and its impacts on light climate, nutrients, and plankton

Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/94624/1/jgrc9664.pd

Seston quality drives feeding, stoichiometry and excretion of zebra mussels

Peer Reviewedhttps://deepblue.lib.umich.edu/bitstream/2027.42/136507/1/fwb12892.pdfhttps://deepblue.lib.umich.edu/bitstream/2027.42/136507/2/fwb12892_am.pd

Measuring in situ predation by Mysis relicta and observations on underdispersed microdistributions of zooplankton

Described are a method and apparatus that allow in situ measurement of predation on zooplankton by Mysis relicta . The method, which can be generalized to other predators, involves lowering paired large-volume (30-1) plankton traps to the depth of interest, with subsequent trapping of the ambient zooplankton assemblage in each trap and release of predators into one of the traps. The statistical adequacy of the method was shown by error propagation theory to depend on the percentage of available prey consumed, on the number of prey captured by the traps, and on the distribution of zooplankton within the volume of water captured by the traps. Repeated casts of the apparatus showed that, in contrast to other studies of zooplankton distribution, various zooplankton categories were statistically underdispersed (evenly dispersed in space) or at least not more statistically dispersed (clumped) than was a random distribution at a space scale of 1 m. An error analysis of many replicated feeding experiments showed that the errors obtained were reasonably small and that they conformed with or were less than those predicted by error propagation theory that assumed random distribution of zooplankton. Thus, these results supported the practical application of the method and corroborated the conclusion of random dispersion or underdispersion drawn from the experiment of repeated casts of the apparatus.Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/42917/1/10750_2004_Article_BF00008104.pd

Evaluating consumptive and nonconsumptive predator effects on prey density using field time‐series data

Determining the degree to which predation affects prey abundance in natural communities constitutes a key goal of ecological research. Predators can affect prey through both consumptive effects (CEs) and nonconsumptive effects (NCEs), although the contributions of each mechanism to the density of prey populations remain largely hypothetical in most systems. Common statistical methods applied to time‐series data cannot elucidate the mechanisms responsible for hypothesized predator effects on prey density (e.g., differentiate CEs from NCEs), nor can they provide parameters for predictive models. State‐space models (SSMs) applied to time‐series data offer a way to meet these goals. Here, we employ SSMs to assess effects of an invasive predatory zooplankter, Bythotrephes longimanus, on an important prey species, Daphnia mendotae, in Lake Michigan. We fit mechanistic models in an SSM framework to seasonal time series (1994–2012) using a recently developed, maximum‐likelihood–based optimization method, iterated filtering, which can overcome challenges in ecological data (e.g., nonlinearities, measurement error, and irregular sampling intervals). Our results indicate that B. longimanus strongly influences D. mendotae dynamics, with mean annual peak densities of B. longimanus observed in Lake Michigan estimated to cause a 61% reduction in D. mendotae population growth rate and a 59% reduction in peak biomass density. Further, the observed B. longimanus effect is most consistent with an NCE via reduced birth rates. The SSM approach also provided estimates for key biological parameters (e.g., demographic rates) and the contribution of dynamic stochasticity and measurement error. Our study therefore provides evidence derived directly from survey data that the invasive zooplankter B. longimanus is affecting zooplankton demographics and offer parameter estimates needed to inform predictive models that explore the effect of B. longimanus under different scenarios, such as climate change.Peer Reviewedhttps://deepblue.lib.umich.edu/bitstream/2027.42/148243/1/ecy2583-sup-0001-AppendixS1.pdfhttps://deepblue.lib.umich.edu/bitstream/2027.42/148243/2/ecy2583_am.pdfhttps://deepblue.lib.umich.edu/bitstream/2027.42/148243/3/ecy2583.pd

Vertical distribution of buoyant Microcystis blooms in a Lagrangian particle tracking model for short‐term forecasts in Lake Erie

Cyanobacterial harmful algal blooms (CHABs) are a problem in western Lake Erie, and in eutrophic fresh waters worldwide. Western Lake Erie is a large (3000 km2), shallow (8 m mean depth), freshwater system. CHABs occur from July to October, when stratification is intermittent in response to wind and surface heating or cooling (polymictic). Existing forecast models give the present location and extent of CHABs from satellite imagery, then predict two‐dimensional (surface) CHAB movement in response to meteorology. In this study, we simulated vertical distribution of buoyant Microcystis colonies, and 3‐D advection, using a Lagrangian particle model forced by currents and turbulent diffusivity from the Finite Volume Community Ocean Model (FVCOM). We estimated the frequency distribution of Microcystis colony buoyant velocity from measured size distributions and buoyant velocities. We evaluated several random‐walk numerical schemes to efficiently minimize particle accumulation artifacts. We selected the Milstein scheme, with linear interpolation of the diffusivity profile in place of cubic splines, and varied the time step at each particle and step based on the curvature of the local diffusivity profile to ensure that the Visser time step criterion was satisfied. Inclusion of vertical mixing with buoyancy significantly improved model skill statistics compared to an advection‐only model, and showed greater skill than a persistence forecast through simulation day 6, in a series of 26 hindcast simulations from 2011. The simulations and in situ observations show the importance of subtle thermal structure, typical of a polymictic lake, along with buoyancy in determining vertical and horizontal distribution of Microcystis.Key Points:Microcystis vertical distribution is a dynamic balance between turbulence and buoyancyAppropriate time step and numerical scheme avoid artifacts in random walk modelsVertical mixing with buoyancy improved simulation of bloom spatial distributionPeer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/134116/1/jgrc21832_am.pdfhttp://deepblue.lib.umich.edu/bitstream/2027.42/134116/2/jgrc21832.pd

In situ predatory behavior of Mysis relicta in Lake Michigan

Selectivity coefficients (W′) and predation rates on Lake Michigan zooplankton were determined for Mysis relicta during spring through fall using an in situ method. W′ values indicated the following ranked order of prey preference: Cladocera > copepod copepodites and copepod nauplii > adult diaptomids and cyclopoids. With few exceptions, W′ values for different prey categories remained fairly constant despite greatly changing relative abundances of prey. Predation rates and prey selectivity were similar in most cases to those determined in laboratory studies. Ingestion rates (percent dry body weight · day −1 ) were correlated to total prey biomass (r = 0.38) and to effective prey biomass (r = 0.85), where the weighting factors were overall mean selectivity coefficients for the different prey categories. This result suggested that seasonally varying composition of prey caused much of the variation in ingestion rates among experiments. Feeding trials performed at the same depth with daytime and nighttime assemblages of zooplankton indicated that Cladocera may escape heavy Mysis predation at night by migrating from the metalimnetic-hypolimnetic interface into the epilimnion.Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/42918/1/10750_2004_Article_BF00008105.pd