Temporal variability in the relative strength of external drivers controlling ecosystem succession in a coastal wetland near Bayou Lafourche, southeast Louisiana, USA

2022 ◽  
Vol 276 ◽  
pp. 107292
Author(s):  
Junghyung Ryu ◽  
Kam-biu Liu ◽  
Terrence A. McCloskey
2012 ◽  
Vol 2012 ◽  
pp. 1-8 ◽  
Author(s):  
S. B. Kakade ◽  
Ashwini Kulkarni

Effective Strength Index (ESI) is the relative strength of NAO and SO. ESI tendency is the algebraic difference between April-ESI and January-ESI and it represents the simultaneous evolution of NAO and SO from winter to spring. During positive (negative) phase of ESI tendency, NAO restores positive (negative) phase and SO restores negative (positive) phase before the beginning of summer season. Thus during contrasting phases (positive and negative) of ESI tendency, the evolution of NAO and SO is out of phase. In this paper we have studied the spatial and temporal variability of winter-time temperature field over Europe, Arabian Sea and Bay of Bengal during contrasting phases of ESI tendency. The study reveals that during positive (negative) ESI tendency, smaller (larger) region of Europe is showing significant winter-time cooling (warming) at surface. The relationship between winter-time surface temperature over above regions and Indian summer monsoon rainfall (ISMR) also shows spatial and temporal variability. The probable explanation for this change in the relationship is discussed in the paper. Two sets of temperature parameters for two different phases of ESI tendency are found out. Multiple regression equations are developed for the prediction of ISMR in each phase of ESI tendency. The performance of these equations is also discussed in this paper.


1981 ◽  
Vol 46 (04) ◽  
pp. 752-756 ◽  
Author(s):  
L Zuckerman ◽  
E Cohen ◽  
J P Vagher ◽  
E Woodward ◽  
J A Caprini

SummaryThrombelastography, although proven as a useful research tool has not been evaluated for its clinical utility against common coagulation laboratory tests. In this study we compare the thrombelastographic measurements with six common tests (the hematocrit, platelet count, fibrinogen, prothrombin time, activated thromboplastin time and fibrin split products). For such comparisons, two samples of subjects were selected, 141 normal volunteers and 121 patients with cancer. The data was subjected to various statistical techniques such as correlation, ANOVA, canonical and discriminant analysis to measure the extent of the correlations between the two sets of variables and their relative strength to detect blood clotting abnormalities. The results indicate that, although there is a strong relationship between the thrombelastographic variables and these common laboratory tests, the thrombelastographic variables contain additional information on the hemostatic process.


2020 ◽  
Vol 655 ◽  
pp. 185-198
Author(s):  
J Weil ◽  
WDP Duguid ◽  
F Juanes

Variation in the energy content of prey can drive the diet choice, growth and ultimate survival of consumers. In Pacific salmon species, obtaining sufficient energy for rapid growth during early marine residence is hypothesized to reduce the risk of size-selective mortality. In order to determine the energetic benefit of feeding choices for individuals, accurate estimates of energy density (ED) across prey groups are required. Frequently, a single species is assumed to be representative of a larger taxonomic group or related species. Further, single-point estimates are often assumed to be representative of a group across seasons, despite temporal variability. To test the validity of these practices, we sampled zooplankton prey of juvenile Chinook salmon to investigate fine-scale taxonomic and temporal differences in ED. Using a recently developed model to estimate the ED of organisms using percent ash-free dry weight, we compared energy content of several groups that are typically grouped together in growth studies. Decapod megalopae were more energy rich than zoeae and showed family-level variability in ED. Amphipods showed significant species-level variability in ED. Temporal differences were observed, but patterns were not consistent among groups. Bioenergetic model simulations showed that growth rate of juvenile Chinook salmon was almost identical when prey ED values were calculated on a fine scale or on a taxon-averaged coarse scale. However, single-species representative calculations of prey ED yielded highly variable output in growth depending on the representative species used. These results suggest that the latter approach may yield significantly biased results.


2017 ◽  
Vol 4 (3) ◽  
pp. 60-71 ◽  
Author(s):  
Alfredo Fort

Though difficult to ascertain because faith based organizations (FBOs) might keep a low profile, be confused with other non-governmental organizations (NGOs), or survey respondents may not know the nature of facilities attended to, these organizations have a long presence in teaching health personnel and delivering health services in many rural and remote populations in the developing world. It is argued that their large networks, logistics agreements with governments, and mission-driven stance brings them closer to the communities they serve, and their services believed of higher quality than average. Kenya has a long history of established FBOs substantial recent health investment by the government. We aimed to find the quantitative and qualitative contributions of FBOs by analyzing two recent data sources: the live web-based nationwide Master Health Facility List, and the 2010 nationwide Service Provision Assessment (SPA) survey. Using this information, we found that FBOs contribute to 11% of all health facilities’ presence in the country, doubling to 23% of all available beds, indicating their relative strength in owning mid-level hospitals around the country. We also constructed an index of readiness as a weighted average from services offered, good management practices and availability of medicines and commodities for 17 items assessed during the SPA survey. We found that FBOs topped the list of managing authorities, with 70 percent of health facility readiness, followed closely by the government at 69 percent, NGOs at 61 percent and lastly a distant private for profit sector at 50 percent. These results seem to indicate that FBOs continue to contribute to an important proportion of health care coverage in Kenya, and that they do so with a relatively high quality of care among all actors. It would be of interest to replicate the analysis with similar databases for other countries in the developing world.


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