Webster County, Township 87 North Range 27 West

Des Moines River Plat Maps.

Webster County, Township 87 North Range 28 West

Des Moines River Plat Maps.

Hamilton County, Township 88 North Range 26 West

Des Moines River Plat Maps.

Webster County, Township 88 North Range 27 West

Des Moines River Plat Maps.

Webster County, Township 88 North Range 28 West

Des Moines River Plat Maps.

Webster County, Township 89 North Range 27 West

Des Moines River Plat Maps.

Webster County, Township 89 North Range 28 West

Des Moines River Plat Maps.

Webster County, Township 90 North Range 28 West

Des Moines River Plat Maps.

Humbolt County, Township 92 North Range 28 West

Des Moines River Plat Maps.

Climate change and plant distribution: local models predict high-elevation persistence

Mountain ecosystems will likely be affected by global warming during the 21st century, with substantial biodiversity loss predicted by species distribution models (SDMs). Depending on the geographic extent, elevation range and spatial resolution of data used in making these models, different rates of habitat loss have been predicted, with associated risk of species extinction. Few coordinated across-scale comparisons have been made using data of different resolution and geographic extent. Here, we assess whether climate-change induced habitat losses predicted at the European scale (10x10' grid cells) are also predicted from local scale data and modeling (25x25m grid cells) in two regions of the Swiss Alps. We show that local-scale models predict persistence of suitable habitats in up to 100% of species that were predicted by a European-scale model to lose all their suitable habitats in the area. Proportion of habitat loss depends on climate change scenario and study area. We find good agreement between the mismatch in predictions between scales and the fine-grain elevation range within 10x10' cells. The greatest prediction discrepancy for alpine species occurs in the area with the largest nival zone. Our results suggest elevation range as the main driver for the observed prediction discrepancies. Local scale projections may better reflect the possibility for species to track their climatic requirement toward higher elevations.

MOS-SF-36 in evaluating health-related quality of life in alcohol-dependent patients.

Health-related quality of life (HRQoL) was evaluated in a sample of alcohol-dependent patients with the 36-item Medical Outcome Study Short-Form Health Survey (MOS-SF-36). The instrument was administered to 147 patients (77% males), aged 26-78, with a DSM-III-R diagnosis of alcohol dependence. The Hamilton Depression Scale (HDS), the Severity of Alcohol Dependence Questionnaire (SADQ), and the Addiction Severity Index (ASI) were also administered to the first 100 patients included in the study. The reliability and validity of the MOS-SF-36 were evaluated. Test-retest intraclass coefficients for a 10-day interval were in the range .65 to .79, whereas the Cronbach alpha coefficient indicated good internal consistency (range .70 to .89). Compared to scores observed in the general population, MOS-SF-36 scores for alcohol-dependent patients were relatively low (indicating worse perception of HRQoL), especially in the psychological and role dimensions (range 52/100 to 55/100), but were closer to populational values in the physical and functional dimensions (range 61/100 to 75/100)). The highest correlation between MOS-SF-36 dimensions and HDS was found in the MOS-SF-36 "mental health" dimension (r=-.56, p < .001); this dimension was also correlated highly with the psychiatric dimension of the ASI (r=-.73, p < .001). The eight dimensions of the MOS-SF-36 were 21% to 127% lower in patients with HDS greater than or equal to 16 (major depression) compared to those with HDS less than or equal to 7 (absence of depression). The MOS-SF-36 dimensions were 10% to 141% lower in patients with high "ASI alcohol" scores, indicating worse HRQoL profiles with a higher severity of alcohol dependence. The MOS-SF-36 presents good criteria for reliability and validity in alcohol-dependent patients. The results suggested that alcohol-dependent patients perceived their problems more as psychological than physical. The severity of alcohol dependence and depression seemed to influence the perception of HRQoL negatively.

Methods for Estimating Annual Exceedance-Probability Discharges for Streams in Iowa, Based on Data through Water Year 2010, TR-519, 2013

A statewide study was performed to develop regional regression equations for estimating selected annual exceedance- probability statistics for ungaged stream sites in Iowa. The study area comprises streamgages located within Iowa and 50 miles beyond the State’s borders. Annual exceedanceprobability estimates were computed for 518 streamgages by using the expected moments algorithm to fit a Pearson Type III distribution to the logarithms of annual peak discharges for each streamgage using annual peak-discharge data through 2010. The estimation of the selected statistics included a Bayesian weighted least-squares/generalized least-squares regression analysis to update regional skew coefficients for the 518 streamgages. Low-outlier and historic information were incorporated into the annual exceedance-probability analyses, and a generalized Grubbs-Beck test was used to detect multiple potentially influential low flows. Also, geographic information system software was used to measure 59 selected basin characteristics for each streamgage. Regional regression analysis, using generalized leastsquares regression, was used to develop a set of equations for each flood region in Iowa for estimating discharges for ungaged stream sites with 50-, 20-, 10-, 4-, 2-, 1-, 0.5-, and 0.2-percent annual exceedance probabilities, which are equivalent to annual flood-frequency recurrence intervals of 2, 5, 10, 25, 50, 100, 200, and 500 years, respectively. A total of 394 streamgages were included in the development of regional regression equations for three flood regions (regions 1, 2, and 3) that were defined for Iowa based on landform regions and soil regions. Average standard errors of prediction range from 31.8 to 45.2 percent for flood region 1, 19.4 to 46.8 percent for flood region 2, and 26.5 to 43.1 percent for flood region 3. The pseudo coefficients of determination for the generalized leastsquares equations range from 90.8 to 96.2 percent for flood region 1, 91.5 to 97.9 percent for flood region 2, and 92.4 to 96.0 percent for flood region 3. The regression equations are applicable only to stream sites in Iowa with flows not significantly affected by regulation, diversion, channelization, backwater, or urbanization and with basin characteristics within the range of those used to develop the equations. These regression equations will be implemented within the U.S. Geological Survey StreamStats Web-based geographic information system tool. StreamStats allows users to click on any ungaged site on a river and compute estimates of the eight selected statistics; in addition, 90-percent prediction intervals and the measured basin characteristics for the ungaged sites also are provided by the Web-based tool. StreamStats also allows users to click on any streamgage in Iowa and estimates computed for these eight selected statistics are provided for the streamgage.

Iowa LSCA long range plan, 1992-1996

This five-year plan,1992-1996,describes the needs, goals, objectives, and methodology for each of the Library Services and Construction Act goals. The LSCA long range plan is revised and issued on an annual basis.

State Library of Iowa LSCA long range plan, 1993-1997

This five-year plan,1993-1997,describes the needs, goals, objectives, and methodology for each of the Library Services and Construction Act goals. The LSCA long range plan is revised and issued on an annual basis.

Long-term and long-range migration of radioactive fallout in a Karst system.

Mountainous areas are often covered by little evolved soils from which deposited radionuclides can potentially leak into the vadose zone. In the Swiss Jura mountains, we observed unusual isotopic ratios of nuclear weapon test (NWTs) fallout with an apparent loss of NWTs plutonium relative to &supl;³⁷Cs of Chernobyl origin in thinner soils. Here, we studied the karstic watershed of a vauclusian spring to determine the residence times of plutonium, ²⁴&supl;Am, and ⁹⁰Sr deposited by global fallout and their respective mobility in carbonaceous soils. The results show that ⁹⁰Sr is washed most efficiently from the watershed with a residence time of several hundred years. The estimated plutonium residence time is more than 10 times higher (in the range of 5000-10,000 years), and the ²⁴&supl;Am residence time is double that of plutonium. The spring water ²⁴&supl;Am/²³⁹+²⁴⁰Pu isotopic ratio is lower (0.12 - 0.28) than found in watershed soils (0.382 ± 0.077). Similar differences are found in aquatic mosses (²⁴&supl;Am/²³⁹+²⁴⁰Pu isotopic ratio 0.05-0.12), which are permanently submerged in spring waters. In contrast to plutonium, ⁹⁰Sr is leached from these mosses with 0.5M HCl, demonstrating that strontium is probably associated with calcium carbonate precipitations on the mosses. The higher plutonium to americium isotopic ratio found in the samples of spring water and mosses at the outlet of the karst shows that plutonium mobility is enhanced.