The land and fresh-water mollusks of Puerto Rico.

http://deepblue.lib.umich.edu/bitstream/2027.42/56315/1/MP070.pd

Notes on Mollusca from Alta Vera Paz, Guatemala

http://deepblue.lib.umich.edu/bitstream/2027.42/56852/1/OP413.pd

The Relationship of the Gravid Periods of Certain Mussels in Michigan to the Pearl Button Industry

Peer Reviewedhttps://deepblue.lib.umich.edu/bitstream/2027.42/142039/1/tafs0406.pd

The Naiad fauna of the Huron River, in southeastern Michigan.

http://deepblue.lib.umich.edu/bitstream/2027.42/56285/1/MP040.pd

Mollusca of Petn and north Alta Vera Paz, Guatemala

http://deepblue.lib.umich.edu/bitstream/2027.42/56279/1/MP034.pd

Aquatic mollusks of the Upper Peninsula of Michigan

http://deepblue.lib.umich.edu/bitstream/2027.42/56288/1/MP043.pd

Comparison of Temperature and Moisture Responses of the Snail Genera Pomatiopsis and Oncomelania

Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/119075/1/ecy196344173.pd

GLEAM v3 : satellite-based land evaporation and root-zone soil moisture

The Global Land Evaporation Amsterdam Model (GLEAM) is a set of algorithms dedicated to the estimation of terrestrial evaporation and root-zone soil moisture from satellite data. Ever since its development in 2011, the model has been regularly revised, aiming at the optimal incorporation of new satellite-observed geophysical variables, and improving the representation of physical processes. In this study, the next version of this model (v3) is presented. Key changes relative to the previous version include (1) a revised formulation of the evaporative stress, (2) an optimized drainage algorithm, and (3) a new soil moisture data assimilation system. GLEAM v3 is used to produce three new data sets of terrestrial evaporation and root-zone soil moisture, including a 36-year data set spanning 1980-2015, referred to as v3a (based on satellite-observed soil moisture, vegetation optical depth and snow-water equivalent, reanalysis air temperature and radiation, and a multi-source precipitation product), and two satellite-based data sets. The latter share most of their forcing, except for the vegetation optical depth and soil moisture, which are based on observations from different passive and active C-and L-band microwave sensors (European Space Agency Climate Change Initiative, ESA CCI) for the v3b data set (spanning 2003-2015) and observations from the Soil Moisture and Ocean Salinity (SMOS) satellite in the v3c data set (spanning 2011-2015). Here, these three data sets are described in detail, compared against analogous data sets generated using the previous version of GLEAM (v2), and validated against measurements from 91 eddy-covariance towers and 2325 soil moisture sensors across a broad range of ecosystems. Results indicate that the quality of the v3 soil moisture is consistently better than the one from v2: average correlations against in situ surface soil moisture measurements increase from 0.61 to 0.64 in the case of the v3a data set and the representation of soil moisture in the second layer improves as well, with correlations increasing from 0.47 to 0.53. Similar improvements are observed for the v3b and c data sets. Despite regional differences, the quality of the evaporation fluxes remains overall similar to the one obtained using the previous version of GLEAM, with average correlations against eddy-covariance measurements ranging between 0.78 and 0.81 for the different data sets. These global data sets of terrestrial evaporation and root-zone soil moisture are now openly available at www.GLEAM.eu and may be used for large-scale hydrological applications, climate studies, or research on land-atmosphere feedbacks

Long-term storage and impedance-based water toxicity testing capabilities of fluidic biochips seeded with RTgill-W1 cells

Rainbow trout gill epithelial cells (RTgill-W1) are used in a cell-based biosensor that can respond within one hour to toxic chemicals that have the potential to contaminate drinking water supplies. RTgill-W1 cells seeded on enclosed fluidic biochips and monitored using electric cell-substrate impedance sensing (ECIS) technology responded to 18 out of the 18 toxic chemicals tested within one hour of exposure. Nine of these chemical responses were within established concentration ranges specified by the U.S. Army for comparison of toxicity sensors for field application. The RTgill-W1 cells remain viable on the biochips at ambient carbon dioxide levels at 6°C for 78 weeks without media changes. RTgill-W1 biochips stored in this manner were challenged with 9.4 μM sodium pentachlorophenate (PCP), a benchmark toxicant, and impedance responses were significant (p \u3c 0.001) for all storage times tested. This poikilothermic cell line has toxicant sensitivity comparable to a mammalian cell line (bovine lung microvessel endothelial cells (BLMVECs)) that was tested on fluidic biochips with the same chemicals. In order to remain viable, the BLMVEC biochips required media replenishments 3 times per week while being maintained at 37°C. The ability of RTgill-W1 biochips to maintain monolayer integrity without media replenishments for 78 weeks, combined with their chemical sensitivity and rapid response time, make them excellent candidates for use in low cost, maintenance-free field-portable biosensors

Essay: Making the most of recent advances in freshwater mussel propagation and restoration

Propagating and releasing freshwater mussels (Unionida) into the wild can contribute substantially to conservation and perhaps ecosystem restoration, but poorly conceived projects can waste money and public good will, and harm mussel populations and ecosystems. Moving from vague, emotional reactions about mussel restoration to more rigorous discussions and analyses can help focus efforts to where they do the most good. We suggest that: (i) projects to restore mussels for conservation goals to sites where known environmental problems have been eliminated or mitigated have good prospects for success; (ii) projects to restore mussels for conservation goals to sites where known environmental problems have not been eliminated or mitigated have poor prospects for success; (iii) projects to restore mussels for conservation goals to sites in the common situation in which the status of environmental problems is unknown have unknown prospects for success, but may be valuable as scientific experiments, if project performance is monitored properly; (iv) the value of population augmentation as a conservation tool is uncertain, and needs better theoretical and empirical analysis; (v) assisted migration of mussels as a conservation tool is controversial, and should be discussed thoroughly before we reach crises in which it is rejected or carried out carelessly; (vi) projects to restore ecosystem services face more stringent criteria for success than conservation projects, and some such projects being discussed seem unlikely to succeed. Monitoring data on how restoration projects perform typically are inadequately collected, reported, disseminated, and used to improve practice. This could be improved by setting up a clearinghouse to collect, hold, and disseminate data; providing training to restorationists; and opening conversations between restorationists and data managers and statisticians.Peer Reviewedhttps://deepblue.lib.umich.edu/bitstream/2027.42/149722/1/csp253.pdfhttps://deepblue.lib.umich.edu/bitstream/2027.42/149722/2/csp253_am.pd