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The parameters of the GR4J-CemaNeige coupling model (GR4neige) are typically treated as constants. However, the maximum capacity of the production store (parX1) exhibits time-varying characteristics due to climate variability and vegetation coverage change. This study employed differentiable parameter learning (dPL) to identify the time-varying parX1 in the GR4neige across 671 catchments within the United States. We built two types of dPL, including static and dynamic parameter networks, to assess the advantages of the time-varying parameter. In the dynamic parameter network, we evaluated the impact of potential evapotranspiration (PET), precipitation (P), temperature (T), soil moisture (SM), and normalized difference vegetation index (NDVI) datasets on the performance of dPL. We then compared dPL with the empirical functional method (fm). The results demonstrated that the dynamic parameter network outperformed the static parameter network in streamflow estimation. There were differences in streamflow estimation among the dynamic parameter network driven by various input features. In humid catchments, simultaneously incorporating all five factors, including PET, P, T, SM, and the NDVI, achieved optimal streamflow simulation accuracy. In arid catchments, it was preferable to introduce PET, T, and the NDVI separately for improved performance. dPL significantly outperformed the empirical fm in estimating streamflow and uncalibrated intermediate variables, like evapotranspiration (ET). Both the derived parX1 from dPL and the empirical fm exhibited significant spatiotemporal variation across 671 catchments. Notably, compared to parX1 obtained through the empirical fm, parX1 derived from dPL exhibited a distinct spatial clustering pattern. This study highlights the potential of dPL in enhancing model accuracy and contributes to understanding the spatiotemporal variation characteristics of parX1 under the influence of climate factors, soil conditions, and vegetation change. [ABSTRACT FROM AUTHOR]

Objective: The incidence of neuroendocrine tumors (NET) has been increasing globally for several decades. The objective of the study was to examine the most recent trend in the incidence of NET as well as disparities by sex and race/ethnicity in adults in the USA., Methods: Patients with NET aged ≥20 years were identified from the SEER 22 Registries from 2000 to 2020. The age-adjusted incidence rate was calculated for overall NET and by primary site. The incidence trend was assessed by annual percent change. Disparities by sex and race/ethnicity were examined using the incidence rate ratio., Results: Age-adjusted incidence rate of overall NET in adults was 9.39 per 100 000 in 2000-2020. The incidence rate increased from 2000 but reached a plateau with no significant change since 2015. The lung and bronchus, small intestine, and rectum were the most common primary sites. Sex and racial/ethnic disparities in NET incidence varied by primary sites. For example, there was a female excess in NET of the lung and bronchus, stomach, and appendix; and there was a male excess in the small intestine, pancreas, colon, rectum and other/unknown NET. Compared to non-Hispanic white, non-Hispanic black had higher incidences of stomach, small intestine, liver, pancreas, colon, rectum, and other/unknown NET; they had lower incidences of lung and bronchus, and appendix NET than non-Hispanic white., Conclusion: Age-adjusted incidence rate of overall NET has reached a plateau since 2015. However, there were sex and racial/ethnic disparities in such incidence, which varied depending on the primary site of NET., (Copyright © 2024 Wolters Kluwer Health, Inc. All rights reserved.)

Background: Osteosarcoma is the most common primary bone tumor with a poor prognosis. The aim of this study was to establish a competitive risk model nomogram to predict cancer-specific survival in patients with osteosarcoma. Methods: Patient data was obtained from the Surveillance, Epidemiology, and End Results database in the United States. A sub-distribution proportional hazards model was used to analyze independent risk factors affecting cancer-specific mortality (CSM) in osteosarcoma patients. Based on these risk factors, a competitive risk model was constructed to predict 1-year, 3-year, and 5-year cancer-specific survival (CSS) in osteosarcoma patients. The reliability and accuracy of the nomogram were evaluated using the concordance index (C-index), the area under the receiver operating characteristic curve (AUC), and calibration curves. Results: A total of 2900 osteosarcoma patients were included. The analysis showed that age, primary tumor site, M stage, surgery, chemotherapy, and median household income were independent risk factors influencing CSM in patients. The competitive risk model was constructed to predict CSS in osteosarcoma patients. In the training and validation sets, the C-index of the model was 0.756 (95% CI 0.725–0.787) and 0.737 (95% CI 0.717–0.757), respectively, and the AUC was greater than 0.7 for both. The calibration curves also demonstrated a high consistency between the predicted survival rates and the actual survival rates, confirming the accuracy and reliability of the model. Conclusion: We established a competitive risk model to predict 1-year, 3-year, and 5-year CSS in osteosarcoma patients. The model demonstrated good predictive performance and can assist clinicians and patients in making clinical decisions and formulating follow-up strategies. [ABSTRACT FROM AUTHOR]

Simple Summary: A solitary fibrous tumor (SFT)/hemangiopericytoma (HPC) of the central nervous system (CNS) represents a rare meningeal tumor with the propensity to recur almost invariably and to metastasize extracranially. Given the rarity of the disease, there are no prospective trials by which to guide its management, and indications for radiotherapy are unclear. The NRG Oncology and European Organization for Research and Treatment of Cancer (EORTC) cooperative groups recently completed the first prospective trials to evaluate risk-adapted radiotherapeutic strategies for meningiomas, based on tumor grade and extent of resection. Using a similar approach, we created three risk categories using two large national US datasets. Our risk categories were highly prognostic of overall and cause-specific survival. Furthermore, our risk categories predicted the survival benefit associated with radiotherapy, which was limited to the high-risk group and, potentially, the intermediate-risk group. Our data suggest that a risk-adapted approach may be employed for the management of SFT/HPC of the CNS. These risk categories may be used in future retrospective and/or prospective studies. Introduction: Solitary fibrous tumor/hemangiopericytoma (SFT/HPC) of the central nervous system (CNS) is a rare meningeal tumor. Given the absence of prospective or randomized data, there are no standard indications for radiotherapy. Recently, the NRG Oncology and EORTC cooperative groups successfully accrued and completed the first prospective trials evaluating risk-adapted adjuvant radiotherapy strategies for meningiomas. Using a similar framework, we sought to develop prognostic risk categories that may predict the survival benefit associated with radiotherapy, using two large national datasets. Methods: We queried the National Cancer Database (NCDB) and the Surveillance, Epidemiology, and End Results (SEER) databases for all newly diagnosed cases of SFT/HPC within the CNS. Risk categories were created, as follows: low risk—grade 1, with any extent of resection (EOR) and grade 2, with gross–total resection; intermediate risk—grade 2, with biopsy/subtotal resection; high risk—grade 3 with any EOR. The Kaplan–Meier method and Cox proportional hazards regressions were used to determine the association of risk categories with overall and cause-specific survival. We then determined the association of radiotherapy with overall survival in the NCDB, stratified by risk group. Results: We identified 866 and 683 patients from the NCDB and SEER databases who were evaluated, respectively. In the NCDB, the 75% survival times for low- (n = 312), intermediate- (n = 239), and high-risk (n = 315) patients were not reached, 86 months (HR 1.60 (95% CI 1.01–2.55)), and 55 months (HR 2.56 (95% CI 1.68–3.89)), respectively. Our risk categories were validated for overall and cause-specific survival in the SEER dataset. Radiotherapy was associated with improved survival in the high- (HR 0.46 (0.29–0.74)) and intermediate-risk groups (HR 0.52 (0.27–0.99)) but not in the low-risk group (HR 1.26 (0.60–2.65)). The association of radiotherapy with overall survival remained significant in the multivariable analysis for the high-risk group (HR 0.55 (0.34–0.89)) but not for the intermediate-risk group (HR 0.74 (0.38–1.47)). Similar results were observed in a time-dependent landmark sensitivity analysis. Conclusion: Risk stratification based on grade and EOR is prognostic of overall and cause-specific survival for SFT/HPCs of the CNS and performs better than any individual clinical factor. These risk categories appear to predict the survival benefit from radiotherapy, which is limited to the high-risk group and, potentially, the intermediate-risk group. These data may serve as the basis for a prospective study evaluating the management of meningeal SFT/HPCs. [ABSTRACT FROM AUTHOR]

Introduction: Gastroenteropancreatic neuroendocrine tumors (GEP-NETs) can result in symptoms such as diarrhea, flushing, abdominal pain, and fatigue and are often associated with a significant disease burden and poor prognosis. This non-interventional, prospective, observational study evaluated the real-world safety and effectiveness of lanreotide depot, a somatostatin analog (SSA) used to treat GEP-NETs, in a community setting. Methods: In this prospective, non-interventional study (NCT02730104), adult patients with locally advanced (inoperable), metastatic GEP-NETs treated with lanreotide depot were evaluated by their physician every 6 months from enrollment for 24 months. Clinically defined time to disease progression (TTDP) and overall survival (OS) were estimated for the total population and by primary tumor type (gastrointestinal [GI], pancreatic, unknown origin), and an exploratory analysis determined the rate of progression-free survival (PFS) at 12 and 24 months. Patient satisfaction was evaluated via the Treatment Satisfaction Questionnaire for Medication (TSQM-9), and safety information was recorded. Results: Of 99 patients, the 24-month PFS rate was 73.7% (95% confidence interval [CI] 63.1–81.7) and 24-month OS rate was 84.2% (95% CI 74.0–90.7). Median TTDP was not reached because few patients experienced disease progression during the study period. The majority of responding patients expressed satisfaction with treatment on each domain of the TSQM-9. Treatment-related adverse events (AEs) occurred in 19.2% of patients, while no serious AEs (SAEs) were related to the study drug. Conclusions: Lanreotide depot is an effective and well-tolerated treatment for GEP-NETs in the real-world community setting. Trial registration: ClinicalTrials.gov identifier, NCT02730104. Plain Language Summary: Gastroenteropancreatic neuroendocrine tumors (GEP-NETs) are rare tumors that develop in the gut or pancreas. GEP-NETs may lead to a reduced lifespan, and people with GEP-NETs may have symptoms such as fatigue, muscle weakness, diarrhea, stomach pain/cramping, and skin reactions. One approved treatment for patients whose tumor cannot be removed with surgery is lanreotide depot. Clinical trials have found lanreotide depot to be effective at prolonging survival and managing symptoms in people with GEP-NETs. However, clinical trials take place under very strict conditions and often do not represent all people with a certain disease in the 'real world'. It is important to determine whether treatments are still effective when used outside of clinical trials. This study was conducted in the real world and followed 99 people with GEP-NETs whose physicians were treating them with lanreotide depot. Each person was monitored for 24 months and assessed during check-ups by their physician every 6 months. After 24 months, 73.7% of people did not have progression (worsening) of disease. The percentage of people who had not died by the end of the study was 84.2%. Most patients (91.6%) said they were satisfied with their treatment. Only 19.2% of patients experienced side effects, none of which were serious. [ABSTRACT FROM AUTHOR]

Within the United States, all populations of sea turtles are listed as threatened or endangered under the Endangered Species Act. Identifying methods of supporting health, preventing disease, and treating disease is essential for conservation and management strategies for all species. Over the last few decades, advances in technology and high throughput sequencing have allowed a proliferation of research into core microbiota and microbiomes in humans and animals. Such investigations have proven that microbiota on and within a host can influence physiology, immunity, and development. Accordingly, a comprehensive understanding of microbiota is essential for unearthing the complex relationships within a microbiome and how those interactions and relationships can be used to promote health and prevent or treat disease. The goal of this review is to summarize the current microbiota research available across all species of sea turtles and identify any emerging trends. Methodological differences made it challenging to draw conclusions across studies, but it is apparent that each anatomical location investigated has a unique core microbiota with some potential overlap. In the future, unifying methodology across microbiota studies will allow broader conclusions to be drawn across all anatomic locations and species of sea turtles. These conclusions will then allow clinicians and conservationists to apply the research results in the field. Additionally, future efforts should include a wider range of organisms including fungi, viruses, parasites, epibiota, and archaea to unveil essential relationships among and between the organisms and host for maintenance of a healthy microbiome. [ABSTRACT FROM AUTHOR]

Rhabdomyosarcomas comprise the single largest category of soft tissue sarcomas in children and adolescents in the United States, occurring in 4.5 million people aged below 20 years. Based on the clinicopathological features and genetic abnormalities identified, rhabdomyosarcomas are classified into embryonal, alveolar, spindle cell/sclerosing and pleomorphic subtypes. Each subtype shows distinctive morphology and has characteristic genetic abnormalities. This review discusses the evolution of the classification of rhabdomyosarcoma to the present day, together with a discussion of key histomorphological and genetic features of each subtype and the diagnostic approach to these tumours. [ABSTRACT FROM AUTHOR]

In the United States, uninsurance remains a major barrier in accessing health care for many citizens and residents. Studies have shown that uninsured patients with many cancers and chronic diseases have worse survival than insured patients. A recent study similarly showed that uninsured patients with gastro-entero-pancreatic neuroendocrine tumors (GEP-NETs) have significantly shortened survival. While GEP-NETs are indolent tumors with generally favorable prognosis, comprehensive care involves years of surveillance, imaging, and treatment following resection, all of which carry a large financial burden. In this commentary, we expand on these findings as they relate to insurance-based disparities as well as management and policy implications. [ABSTRACT FROM AUTHOR]

Despite several flood databases available in the United States, there is a benefit to combine and reconcile these diverse data sources into a comprehensive flood database with a unified common format and easy public access in order to facilitate flood-related research and applications. Typically, floods are reported by specialists or media according to their socioeconomic impacts. Recently, data-driven analysis can reconstruct flood events based on in situ and/or remote-sensing data. Lately, with the increasing engagement of citizen scientists, there is the potential to enhance flood reporting in near-real time. The central objective of this study is to integrate information from seven popular multi-sourced flood databases into a comprehensive flood database in the United States, made readily available to the public in a common data format. Natural language processing, geocoding, and harmonizing processing steps are undertaken to facilitate such development. In total, there are 698 507 flood records in the United States from 1900 to the present, which highlights the longest and most comprehensive recording of flooding across the country. The database features event locations, durations, date/times, socioeconomic impacts (e.g., fatalities and economic damages), and geographic information (e.g., elevation, slope, contributing area, and land cover types retrieved from ancillary data for given flood locations). Finally, this study utilizes the flood database to analyze flood seasonality within major basins and socioeconomic impacts over time. It is anticipated that thus far the most comprehensive yet unified database can support a variety of flood-related research, such as a validation resource for hydrologic or hydraulic simulations, hydroclimatic studies concerning spatiotemporal patterns of floods, and flood susceptibility analysis for vulnerable geophysical locations. The dataset is publicly available with the following DOI: 10.5281/zenodo.4547036 (Li, 2020). [ABSTRACT FROM AUTHOR]

Background: Neuroendocrine neoplasms (NENs) are rare tumors characterized by variable biology and delayed diagnosis. However, the nationwide epidemiology of NENs has never been reported in China. We aimed to estimate the incidence and survival statistics of NENs in China, in comparison to those in the United States during the same period., Methods: Based on the data from 246 population-based cancer registries covering 272.5 million people of China, we calculated age-specific incidence on NENs in 2017 and multiplied by corresponding national population to estimate the nationwide incidence in China. The data of 22 population-based cancer registries were used to estimate the trends of NENs incidence from 2000 to 2017 through the Joinpoint regression model. We used the cohort approach to analyze the 5-year age-standardized relative survival by sex, age group, and urban-rural area between 2008 and 2013, based on data from 176 high-quality cancer registries. We used data from the Surveillance, Epidemiology, and End Results (SEER) 18 program to estimate the comparable incidence and survival of NENs in the United States., Results: The overall age-standardized rate (ASR) of NENs incidence was lower in China (1.14 per 100,000) than in the United States (6.26 per 100,000). The most common primary sites were lungs, pancreas, stomach, and rectum in China. The ASRs of NENs incidence increased by 9.8% and 3.6% per year in China and the United States, respectively. The overall 5-year relative survival in China (36.2%) was lower than in the United States (63.9%). The 5-year relative survival was higher for female patients than male patients, and was higher in urban areas than in rural areas., Conclusions: The disparities in burden of NENs persist across sex, area, age group, and site in China and the United States. These findings may provide a scientific basis on prevention and control of NENs in the two countries., (Copyright © 2023 The Chinese Medical Association, produced by Wolters Kluwer, Inc. under the CC-BY-NC-ND license.)

Objective Based on the SEER (Surveillance, Epidemidogy, and End Results) database, this study retrospectively summarized clinical characteristics, and explored prognostic factors of patients with different histological types of pediatric gliomas. Methods A total of 7759 pediatric patients with gliomas confirmed by histopathology from the SEER database from 2000 to 2015 were included in the study and were classified into pilocytic astrocytoma, medulloblastoma, ependymoma, glioblastoma and other gliomas according to histological classification. Kaplan-Meier survival analysis was utilized to compare 5-year survival rates. Univariate log-rank test and multivariate forward selection Cox regression analysis were used to screen the factors related to survival and prognosis. Results According to histological classification, 7759 patients were divided into 2585 cases of pilocytic astrocytoma (33.32%), 2061 cases of medulloblastoma (26.56%), 777 cases of ependymoma (10.01%), 443 cases of glioblastoma (5.71%) and 1893 cases (24.40%) of other types of gliomas. The differences of gender (χ² = 60.390, P = 0.000), age distribution (χ² = 600.318, P = 0.000), tumor size (χ² = 90.773, P = 0.000), location (χ² = 2117.948, P = 0.000) and pathological grade (χ² = 1233.506, P = 0.000) in different histological types were statistically significant respectively. Among them, medulloblastoma (60.89%, 1255/2061) and glioblastoma (57.56%, 255/443) were more likely to occur in male and school age was the peak age of onset (35.48%, 2753/7759); pilocytic astrocytoma and medulloblastoma were mainly small tumors (31.30%, 809/2585; 33.77%, 696/2061) and more likely occurred in cerebellum (42.24%, 1092/2585; 59.58%, 1228/2061); while ependymoma and glioblastoma were larger (32.43%, 252/777; 29.57%, 131/443) and were occurred in supratentorial and cerebral ventricles (36.81%, 286/777; 65.91%, 292/443); only pilocytic astrocytoma was mainly of low grade (24.06%, 622/2585). Survival analysis showed 5-year survival rates of patients with pilocytic astrocytoma, medulloblastoma, ependymoma and glioblastoma were 97.41% (2518/2585), 64.39% (1327/2061), 76.83% (597/777) and 16.25% (72/443) respectively, and difference was statistically significant (χ² = 2145.672, P = 0.000). Univariate log - rank test and multivariate Cox regression analysis showed prognostic factors of different histological types were not consistent, including age at diagnosis, tumor size and location, pathological grade, surgical resection and radiotherapy. Accept pilocytic astrocytoma, surgical resection of patients with medulloblastoma, ependymoma and glioblastoma had positive significance for survival and prognosis; radiotherapy can reduce risk of death in medulloblastoma, but it might increase risk of death in pilocytic astrocytoma. Conclusions Pilocytic astrocytoma is most common pediatric glioma with best prognosis, and glioblastoma has a relatively low incidence with poor prognosis. Demographic information, tumor characteristics and treatment options are all predictive factors for survival and prognosis of children with glioma. Surgical resection can reduce risk of death in children with gliomas of various histological types except pilocytic astrocytoma. Radiotherapy can reduce risk in medulloblastoma, however, it may increase risk of death in pilocytic astrocytoma. [ABSTRACT FROM AUTHOR]

Inflammatory myofibroblastic tumor (IMT) is a distinctive fibroblastic and myofibroblastic spindle cell neoplasm with an accompanying inflammatory cell infiltrate and frequent receptor tyrosine kinase activation at the molecular level. The tumor may recur and rarely metastasizes. IMT is rare in the head and neck region, and limited information is available about its clinicopathologic and molecular characteristics in these subsites. Therefore, we analyzed a cohort of head and neck IMTs through a multi-institutional approach. Fourteen cases were included in the provisional cohort, but 1 was excluded after molecular analysis prompted reclassification. Patients in the final cohort included 7 males and 6 females, with a mean age of 26.5 years. Tumors were located in the larynx (n=7), oral cavity (n=3), pharynx (n=2), and mastoid (n=1). Histologically, all tumors showed neoplastic spindle cells in storiform to fascicular patterns with associated chronic inflammation, but the morphologic spectrum was wide, as is characteristic of IMT in other sites. An underlying fusion gene event was identified in 92% (n=11/12) of cases and an additional case was ALK-positive by IHC but could not be evaluated molecularly. ALK represented the driver in all but 1 case. Rearrangement of ALK, fused with the TIMP3 gene (n=6) was most commonly detected, followed by 1 case each of the following fusion gene partnerships: TPM3-ALK, KIF5B-ALK, CARS-ALK, THBS1-ALK, and a novel alteration, SLC12A2-ROS1. The excluded case was reclassified as spindle cell rhabdomyosarcoma after detection of a FUS-TFCP2 rearrangement and retrospective immunohistochemical confirmation of rhabdomyoblastic differentiation, illustrating an important diagnostic pitfall. Two IMT patients received targeted therapy with crizotinib, with a demonstrated radiographic response. One tumor recurred but none metastasized. These results add to the growing body of evidence that kinase fusions can be identified in the majority of IMTs and that molecular analysis can lead to increased diagnostic accuracy and broadened therapeutic options for patients., Competing Interests: Conflicts of Interest and Source of Funding: NGS studies were supported by internal research funding from the D&R Institute of Pathology, Medical University of Graz, Austria. The authors have disclosed that they have no significant relationships with, or financial interest in, any commercial companies pertaining to this article., (Copyright © 2021 Wolters Kluwer Health, Inc. All rights reserved.)

Floods caused by hurricane storms are responsible for tremendous economic and property losses in the United States. To minimize flood damages associated with large hurricane-season storms, it is important to be able to predict streamflow amount in response to storms for a range of hydroclimatological conditions. However, this is challenging considering that streamflow response exhibits appreciable variability even for hurricane-season storms that deliver similar precipitation amounts. As such, better estimates of event responses require refined understanding of the causes of flood response variability. Here, a physically based, distributed hydrologic model and supporting hydrologic datasets are used to identify and evaluate dominant hydrologic controls on streamflow amount variability. The analysis indicates that variability in flood response in the Lake Michie watershed is primarily driven by antecedent soil moisture conditions near the land surface and evapotranspiration during postevent streamflow recession periods, which in turn is a function of precipitation history and prevailing vegetation and meteorological conditions. Presented results and ensuing analyses could help prioritize measurements during observation campaigns and could aid in risk management by providing look-up diagrams to quickly evaluate flood responses given prior information about hurricane storm size. [ABSTRACT FROM AUTHOR]

We used high throughput pyrosequencing to characterize stomach and gut content microbiomes of Crassostrea virginica, the Easter oyster, obtained from two sites, one in Barataria Bay (Hackberry Bay) and the other in Terrebonne Bay (Lake Caillou), Louisiana, USA. Stomach microbiomes in oysters from Hackberry Bay were overwhelmingly dominated by Mollicutes most closely related to Mycoplasma; a more rich community dominated by Planctomyctes occurred in Lake Caillou oyster stomachs. Gut communities for oysters from both sites differed from stomach communities, and harbored a relatively diverse assemblage of phylotypes. Phylotypes most closely related to Shewanella and a Chloroflexi strain dominated the Lake Caillou and Hackberry Bay gut microbiota, respectively. While many members of the stomach and gut microbiomes appeared to be transients or opportunists, a putative core microbiome was identified based on phylotypes that occurred in all stomach or gut samples only. The putative core stomach microbiome comprised 5 OTUs in 3 phyla, while the putative core gut microbiome contained 44 OTUs in 12 phyla. These results collectively revealed novel microbial communities within the oyster digestive system, the functions of the oyster microbiome are largely unknown. A comparison of microbiomes from Louisiana oysters with bacterial communities reported for other marine invertebrates and fish indicated that molluscan microbiomes were more similar to each other than to microbiomes of polychaetes, decapods and fish. [ABSTRACT FROM AUTHOR]

Presents a study which prioritized several embankment dams by the Massachusetts Department of Environmental Management Office of Dam Safety according to their physical deficiencies. Requirement for the management and regulation of inventories of the dams; Results; Conclusions and recommendations.

The parameters of water movement and solute transport models are essential for the accurate simulation of soil moisture and salinity, particularly for layered soils in field conditions. Parameter estimation can be achieved using the inverse modeling method. However, this type of method cannot fully consider the uncertainties of measurements, boundary conditions, and parameters, resulting in inaccurate estimations of parameters and predictions of state variables. The ensemble Kalman filter (EnKF) is well-suited to data assimilation and parameter prediction in Situations with large numbers of variables and uncertainties. Thus, in this study, the EnKF was used to estimate the parameters of water movement and solute transport in layered, variably saturated soils. Our results indicate that when used in conjunction with the HYDRUS-1D software (University of California Riverside, California, CA, USA) the EnKF effectively estimates parameters and predicts state variables for layered, variably saturated soils. The assimilation of factors such as the initial perturbation and ensemble size significantly affected in the simulated results. A proposed ensemble size range of 50–100 was used when applying the EnKF to the highly nonlinear hydrological models of the present study. Although the simulation results for moisture did not exhibit substantial improvement with the assimilation, the simulation of the salinity was significantly improved through the assimilation of the salinity and relative solutetransport parameters. Reducing the uncertainties in measured data can improve the goodness-of-fit in the application of the EnKF method. Sparse field condition observation data also benefited from the accurate measurement of state variables in the case of EnKF assimilation. However, the application of the EnKF algorithm for layered, variably saturated soils with hydrological models requires further study, because it is a challenging and highly nonlinear problem. [ABSTRACT FROM AUTHOR]

Water quality is a central component of ecological assessments but less well characterized in wetlands than other waterbody types. The 2011 National Wetland Condition Assessment, spanning freshwater and brackish wetlands across the conterminous USA, provided an unprecedented opportunity to examine water quality patterns across broad wetland types and geographic scales. Surface water samples were obtained from 634 (56%) of sites visited. Total nitrogen (TN), total phosphorus (TP), planktonic chlorophyll (CHLA), and specific conductance (SPCOND) ranged 4 orders of magnitude across sites and were inter-correlated. Woody versus herbaceous vegetation type was an important classifier, with herbaceous sites having standing water more often and generally higher pH, nutrients, and CHLA. Nutrient ratios spanned a range from P-limited to N-limited in most biogeographic regions, and increasing TP was associated with decreasing TN:TP ratios. Compared to national-scale data for other waterbody types (lakes, streams, marine nearshore), wetlands had generally higher TN and TP but not higher CHLA. Differences among biogeographic regions in water quality were concordant between inland wetlands and lakes, and between marine-coast wetlands and the marine nearshore. Associations of TN, TP, and CHLA to percent agriculture or natural land were stronger for the watershed scale than for smaller concentric buffer scales, suggesting that wetlands are influenced by landuse some distance away. SPCOND was related to landuse in inland wetlands but reflected seawater influence in marine-coast wetlands. Water quality exhibits the same general patterns and responses across wetlands as across other waterbody types and thus can provide a basis for ecological classification and condition assessment. [ABSTRACT FROM AUTHOR]

Phages greatly influence the ecology and evolution of their bacterial hosts; however, compared to hosts, a relatively low number of phages, especially halophilic phages, have been studied. This study describes a comparative investigation of physicochemical tolerance between a strain of the halophilic bacterium, Salicola, isolated from the Cargill Saltworks (Newark, CA, USA) and its associated phage. The host grew in media between pH 6–8.5, had a salinity growth optimum of 20% total salts (ranging from 10%–30%) and an upper temperature growth limit of 48 °C. The host utilized 61 of 190 substrates tested using BIOLOG Phenotype MicroArrays. The CGφ29 phage, one of only four reported Salicola phages, is a DNA virus of the Siphoviridae family. Overall, the phage tolerated a broader range of environmental conditions than its host (salinity 0–30% total salts; pH 3–9; upper thermal limit 80 °C) and is the most thermotolerant halophilic phage ever reported. This study is the most comprehensive investigation to date of a Salicola host–phage pair and provides novel insights into extreme environmental tolerances among bacteriophages. [ABSTRACT FROM AUTHOR]