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Why does my library account say that I am blocked, that I am barred, or that my status is expired?
Users can encounter several different types of status messages. Patrons with questions about their account status can visit the checkout desk in room 241 of LSU Library and ask to speak to a staff member. Alternatively, patrons can reach out to us via e-mail at libcirc@lsu.edu (mailto:libcirc@lsu.edu) . When contacting us via e-mail, LSU students, staff, and faculty should message us from their LSU e-mail address; public patrons should message us from the e-mail address we have on file. For privacy reasons, we cannot discuss the details of patron accounts over the telephone. Expired: Students must be currently enrolled in classes in order to be granted library privileges. Once they graduate, or if they fail to register on time in accord with the deadlines posted on LSUs academic calendar, their privileges expire. If they try to log in to their library account after that date, they will see an alert message informing them that their account has expired. Graduate students who have received a masters degree but are continuing on to get their PhD may also have their privileges expire earlier than expected. The library receives weekly updates on student status from the Registrars Office. Once the semester has begun, if students register during the week, their accounts will not be updated and their privileges extended in the system until the following Monday morning. Blocked: Users with overdue recalled books will have their accounts blocked by the system. Their accounts will remain blocked until the book is returned. The system will not permit staff members to override blocks or to renew books that have been recalled. The only way to remove a block from an account is to return the materials. Barred: Users can be barred from using library materials for a number of reasons, the most common being that they have been billed for lost items. They can also be barred if they resign from the university, if their classes are purged, or for flagrant violations of library policy. If they try to log into their account after they have been barred, they will receive an alert message that tells them that they have been barred. Answered by: Access Services Staff

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2065796
Variation in the catch rate and distribution of three important commercial Spanish mackerel (Commerson: Niphonius: Guttatus) related to ENSO events around the waters off Taiwan
Spanish mackerel species are migratory species, also are highly commercially valuable in Taiwan. However, in recent years, climate change and variability have influenced oceanographic conditions, substantially impacting the population dynamics of pelagic species. This study developed weighted habitat suitability index models for three crucial Scomberomorus species—Scomberomorus commerson, Scomberomorus niphonius, and Scomberomorus guttatus—in the waters off Taiwan. Remote sensing data including sea surface temperature, sea surface chlorophyll-a, sea surface salinity, and sea surface height, along with voyage data records that included detailed catch data from Taiwanese drift gillnet fisheries were collected during 2011–2019. The primary fishing grounds for S. commerson are located in the central to southwestern Taiwan Strait, while S. niphonius and S. guttatus are mainly found in the coastal waters off western Taiwan. In autumn, the oceanographic factor preferences are relatively similar among Scomberomorus species, with sea surface temperature being the primary influencing factor. Sea surface height turns to the main influencing factor in winter. Based on the results of the weighted habitat suitability model, we found seasonal differences in habitat preferences and ranges. There is more pronounced overlap in potential habitat in autumn and partial separate condition in potential habitat in winter among Scomberomorus species. Further exploration of the spatiotemporal distribution dynamics of Scomberomorus species under different ENSO periods revealed that during La Niña periods, the potential habitat ranges are broader and extend further south. In contrast, during El Niño periods, and the potential habitat ranges contract northward. Habitat suitable index model may be a useful approach for evaluating possible changes in habitat suitability resulting from climate change or other oceanographic phenomena and in offering suggestions for fishery scientific management.
Significant uncertainty in bark beetle trap catches due to varying pheromone release from dispensers and local trap position
Tree-killing bark beetles are important pests severely affecting forests worldwide. An understanding of their spatio-temporal swarming intensity, typically assessed with pheromone traps, is crucial to guide management actions. While multiple factors have been shown to affect trap catches, we lack knowledge of the effects of inherent dispenser-dependent variations in pheromone release and of local trap position. In a laboratory experiment, we assessed the influence of filling level and temperature on the release rate (Rr) of three commonly used pheromone dispenser products for bark beetles (Pheroprax®, Chalcoprax®, Curviwit®). By conducting a complementary field study at two sites in Germany, we quantified the effect of varying Rr of Pheroprax® and trap position on the number of Ips typographus trapped. Rr of all three products correlated with temperature and strongly declined during the application period in Pheroprax® and Chalcoprax®. In the field, both the temporal variability in filling level and the ambient temperature similarly affected Rr, which in combination led to a fivefold change in trap catches. Additionally, catches varied by a similar magnitude due to local trap position, partly explained by the distance from the forest edge. The large uncertainties found in pheromone trap catches, which may also apply to other pest species, highlight the need for careful interpretation (or correction) of trap data. As a potential improvement of monitoring, we propose swarming models to facilitate more accurate predictions of infestation risk by (i) incorporating uncertainties arising from trap-related factors and (ii) providing continuous information on the spatio-temporal abundance of pest species.