scholarly journals The use of Cohorts to Evaluate the Impact ofEncarsia citrina(Hymenoptera: Aphelinidae) onFiorinia externa(Hemiptera: Diaspididae) in the Eastern United States

2011 ◽  
Vol 94 (4) ◽  
pp. 902-908 ◽  
Author(s):  
Kristopher J. Abell ◽  
Roy G. Van Driesche
Keyword(s):  
United States ◽  
Eastern United States ◽  
The Impact

scholarly journals Impact of lightning-NO on Eastern United States photochemistry during the summer of 2006 as determined using the CMAQ model

2011 ◽  
Vol 11 (6) ◽  
pp. 17699-17757 ◽  
Author(s):  
D. J. Allen ◽  
K. E. Pickering ◽  
R. W. Pinder ◽  
B. H. Henderson ◽  
K. W. Appel ◽  
...  
Keyword(s):  
United States ◽  
Air Quality ◽  
Wet Deposition ◽  
Surface Ozone ◽  
Convective Precipitation ◽  
Eastern United States ◽  
Ozone Monitoring Instrument ◽  
Monitoring Instrument ◽  
Ozone Monitoring ◽  
The Impact

Abstract. A lightning-nitrogen oxide (NO) algorithm is developed for the regional Community Multiscale Air Quality Model (CMAQ) and used to evaluate the impact of lightning-NO emissions (LNOx) on tropospheric photochemistry over the Eastern United States during the summer of 2006. The scheme assumes flash rates are proportional to the model convective precipitation rate but then adjusts the flash rates locally to match monthly average observations. Over the Eastern United States, LNOx is responsible for 20–25 % of the tropospheric nitrogen dioxide (NO2) column. This additional NO2 reduces the low-bias of simulated NO2 columns with respect to satellite-retrieved Dutch Ozone Monitoring Instrument NO2 (DOMINO) columns from 41 to 14 %. It also adds 10–20 ppbv to upper tropospheric ozone and 1.5–4.5 ppbv to 8-h maximum surface layer ozone, although, on average, the contribution of LNOx to surface ozone is 1–2 ppbv less on poor air quality days. Biases between modeled and satellite-retrieved tropospheric NO2 columns vary greatly between urban and rural locations. In general, CMAQ overestimates columns at urban locations and underestimates columns at rural locations. These biases are consistent with in situ measurements that also indicate that CMAQ has too much NO2 in urban regions and not enough in rural regions. However, closer analysis suggests that most of the differences between modeled and satellite-retrieved urban to rural ratios are likely a consequence of the horizontal and vertical smoothing inherent in columns retrieved by the Ozone Monitoring Instrument (OMI). Within CMAQ, LNOx increases wet deposition of nitrate by 50 % and total deposition of nitrogen by 11 %. This additional deposition reduces the magnitude of the CMAQ low-bias in nitrate wet deposition with respect to National Atmospheric Deposition monitors to near zero. In order to obtain an upper bound on the contribution of uncertainties in chemistry to upper tropospheric NOx low biases, sensitivity calculations with updated chemistry were run for the time period of the Intercontinental Chemical Transport Experiment (INTEX-A) field campaign (summer 2004). After adjusting for possible interferences in NO2 measurements and averaging over the entire campaign, these updates reduced 7–9 km biases from 32 to 17 % and 9–12 km biases from 57 to 46 %. While these changes lead to better agreement, a considerable NO2 low-bias remains in the uppermost troposphere.

Predicting the impact of hemlock woolly adelgid on carbon dynamics of eastern United States forests

2010 ◽  
Vol 40 (1) ◽  
pp. 119-133 ◽  
Author(s):  
Marco Albani ◽  
Paul R. Moorcroft ◽  
Aaron M. Ellison ◽  
David A. Orwig ◽  
David R. Foster
Keyword(s):  
United States ◽  
Insect Pest ◽  
Hemlock Woolly Adelgid ◽  
Adelges Tsugae ◽  
Eastern Hemlock ◽  
Forest Composition ◽  
Eastern United States ◽  
Regional Patterns ◽  
Spread Model ◽  
The Impact

The hemlock woolly adelgid (HWA; Adelges tsugae Annand) is an introduced insect pest that threatens to decimate eastern hemlock ( Tsuga canadensis (L.) Carriere) populations. In this study, we used the ecosystem demography model in conjunction with a stochastic model of HWA spread to predict the impact of HWA infestation on the current and future forest composition, structure, and carbon (C) dynamics in the eastern United States. The spread model predicted that on average the hemlock stands south and east of the Great Lakes would be infested by 2015, southern Michigan would be reached by 2020, and northeastern Minnesota by 2030. For the period 2000–2040, the ecosystem demography model predicted a mean reduction of 0.011 Pg C·year–1 (Pg C = 1015 g C), an 8% decrease, in the uptake of carbon from eastern United States forests as a result of HWA-caused mortality, followed by an increased uptake of 0.015 Pg C·year–1 (a 12% increase) in the period 2040–2100, as the area recovers from the loss of hemlock. Overall, we conclude that while locally severe, HWA infestation is unlikely to have a significant impact on the regional patterns of carbon fluxes, given that eastern hemlock represents a limited fraction of the standing biomass of eastern forests and that it has relatively low productivity compared with the tree species that are likely to replace it.

scholarly journals Data-Driven Management—A Dynamic Occupancy Approach to Enhanced Rabies Surveillance Prioritization

Viruses ◽  
2021 ◽  
Vol 13 (9) ◽  
pp. 1795
Author(s):  
Amy J. Davis ◽  
Jordona D. Kirby ◽  
Richard B. Chipman ◽  
Kathleen M. Nelson ◽  
Amy T. Gilbert
Keyword(s):  
United States ◽  
Management Program ◽  
Data Driven ◽  
Point System ◽  
Intensive Management ◽  
Eastern United States ◽  
The Impact ◽  
Surveillance Specimens ◽  
Rabies Vaccination ◽  
Broad Scale

Rabies lyssavirus (RABV) is enzootic in raccoons across the eastern United States. Intensive management of RABV by oral rabies vaccination (ORV) has prevented its spread westward and shown evidence of local elimination in raccoon populations of the northeastern US. The USDA, Wildlife Services, National Rabies Management Program (NRMP) collaborates with other agencies to implement broad-scale ORV and conducts extensive monitoring to measure the effectiveness of the management. Enhanced Rabies Surveillance (ERS) was initiated during 2005 and updated in 2016 to direct surveillance efforts toward higher-value specimens by assigning points to different methods of encountering specimens for collection (strange-acting, roadkill, surveillance-trapped, etc.; specimen point values ranged from 1 to 15). We used the 2016–2019 data to re-evaluate the point values using a dynamic occupancy model. Additionally, we used ERS data from 2012–2015 and 2016–2019 to examine the impact that the point system had on surveillance data. Implementation of a point system increased positivity rates among specimens by 64%, indicating a substantial increase in the efficiency of the ERS to detect wildlife rabies. Our re-evaluation found that most points accurately reflect the value of the surveillance specimens. The notable exception was that samples from animals found dead were considerably more valuable for rabies detection than originally considered (original points = 5, new points = 20). This work demonstrates how specimen prioritization strategies can be used to refine and improve ERS in support of wildlife rabies management.

scholarly journals Assimilation of Gridded GRACE Terrestrial Water Storage Estimates in the North American Land Data Assimilation System

2016 ◽  
Vol 17 (7) ◽  
pp. 1951-1972 ◽  
Author(s):  
Sujay V. Kumar ◽  
Benjamin F. Zaitchik ◽  
Christa D. Peters-Lidard ◽  
Matthew Rodell ◽  
Rolf Reichle ◽  
...  
Keyword(s):  
United States ◽  
Data Assimilation ◽  
Eastern United States ◽  
Terrestrial Water Storage ◽  
The North ◽  
Terrestrial Water ◽  
Land Data Assimilation ◽  
Land Data Assimilation System ◽  
The Impact ◽  
Data Assimilation System

Abstract The objective of the North American Land Data Assimilation System (NLDAS) is to provide best-available estimates of near-surface meteorological conditions and soil hydrological status for the continental United States. To support the ongoing efforts to develop data assimilation (DA) capabilities for NLDAS, the results of Gravity Recovery and Climate Experiment (GRACE) DA implemented in a manner consistent with NLDAS development are presented. Following previous work, GRACE terrestrial water storage (TWS) anomaly estimates are assimilated into the NASA Catchment land surface model using an ensemble smoother. In contrast to many earlier GRACE DA studies, a gridded GRACE TWS product is assimilated, spatially distributed GRACE error estimates are accounted for, and the impact that GRACE scaling factors have on assimilation is evaluated. Comparisons with quality-controlled in situ observations indicate that GRACE DA has a positive impact on the simulation of unconfined groundwater variability across the majority of the eastern United States and on the simulation of surface and root zone soil moisture across the country. Smaller improvements are seen in the simulation of snow depth, and the impact of GRACE DA on simulated river discharge and evapotranspiration is regionally variable. The use of GRACE scaling factors during assimilation improved DA results in the western United States but led to small degradations in the eastern United States. The study also found comparable performance between the use of gridded and basin-averaged GRACE observations in assimilation. Finally, the evaluations presented in the paper indicate that GRACE DA can be helpful in improving the representation of droughts.

scholarly journals Recovery Plan for Monilinia polystroma Causing Asiatic Brown Rot of Stone Fruit

2018 ◽  
Vol 19 (2) ◽  
pp. 107-124 ◽  
Author(s):  
K. D. Cox ◽  
S. M. Villani ◽  
Anna Poniatowska ◽  
Guido Schnabel ◽  
Imre Holb ◽  
...  
Keyword(s):  
United States ◽  
Crop Production ◽  
Plant Disease ◽  
Brown Rot ◽  
The United States ◽  
Stone Fruit ◽  
Fruit Rot ◽  
Eastern United States ◽  
Recovery Plan ◽  
The Impact

Stone fruit are an economically important group of specialty fruit crops in the United States. Species of the fungal genus Monilinia are some of the most important pathogens of stone fruit worldwide. These pathogens cause blossom blight, shoot blight, and brown fruit rot in temperate production regions. The most common species of Monilinia pathogenic on stone fruit include Monilinia fructicola, M. laxa, M. fructigena, and M. polystroma. Presently, neither M. polystroma, the causal agent of “Asiatic brown rot”, nor M. fructigena, one of the causal agents of “European brown rot”, have been reported in North America. Interestingly, both species can also cause brown rot of apple, which is densely planted in the eastern United States. This recovery plan was produced as part of the National Plant Disease Recovery System (NPDRS), called for in Homeland Security Presidential Directive Number 9 (HSPD-9) to ensure that the tools, infrastructure, communication networks, and capacity required to mitigate the impact of high-consequence plant disease outbreaks are such that a reasonable level of crop production is maintained. It is intended to provide a brief primer on the disease, assess the status of critical recovery components, and identify disease management research, extension, and education needs.

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