Search

Interactions between two plant species can be influenced by the presence of other plant species and such an effect may change as the diversity of the other species increases. To test these hypotheses, we first constructed aquatic communities consisting of 1, 2 and 4 emergent plant species and then grew ramets of Lemna minor only, ramets of Spirodela polyrhiza only or ramets of both L. minor and S. polyrhiza within these aquatic communities. We also included controls with ramets of L. minor , S. polyrhiza or both but without any emergent plants. Biomass and number of ramets of L. minor and S. polyrhiza were significantly smaller with than without the emergent plants, but they did not differ among the three richness levels. The presence of S. polyrhiza did not significantly affect the growth of L. minor , and such an effect was not dependent on the richness of the emergent plant species. Without the emergent plant species, the presence of L. minor markedly reduced biomass (−92%) and number of ramets (−88%) of S. polyrhiza. However, such a competitive effect of L. minor on S. polyrhiza became much weaker in the presence of one emergent plant species (−46% biomass and −39% number of ramets) and completely disappeared in the presence of two or four emergent plant species. Therefore, both the presence and richness of emergent plant species can alter competitive interactions between the two duckweed species. These findings highlight the importance of species diversity in regulating plant–plant interactions. [ABSTRACT FROM AUTHOR]

The severity of canine acute pancreatitis (AP) is highly variable. Clinically applicable severity scoring algorithms are limited. One-hundred-thirty-four dogs diagnosed with AP and hospitalized between 2009 and 2014 were selected for analysis to develop a severity scoring system. Eleven variables, i.e. age, hemoglobin, red blood cell count, albumin, total bilirubin, blood urea nitrogen, creatinine, phosphorus, potassium, presence of systemic inflammatory response syndrome and oliguria/anuria after rehydration (Day 2 to Day 4) were significantly abnormal and selected by logistic regression to predict the outcome. A scoring system was developed by incorporating weighting factors assigned to each quartile based on the odds ratio integer value. A predictive score is the sum of all weighting factors for each dog. Receiver-operating curve analyses were performed to assess the sensitivity, specificity and optimal cut-off point of the outcome predictions. The scores of 134 dogs after rehydration ranged from 11 to 78 points. The mean score was 3 2. 9 ± 2 0. 0 , and the median score was 23 points. The optimal cut-off point for outcome prediction of the scoring system was 35.5, with a sensitivity of 96% and a specificity of 89.3%. The mortality was 85.5% with a score of > 3 6 , whereas 3.8% had a score of ≤ 3 6. Dogs with a score < 2 6 all survived. The severity scoring system provides a reliable and clinically applicable method to assess disease severity in dogs with clinically AP at the time point after rehydration. [ABSTRACT FROM AUTHOR]