Carbaryl, Carbofuran, and Methomyl - National Marine Fisheries ...

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(e.g., growth or reproduction) were not included. If specific data were represented more than once in the ECOTOX output, duplicates were eliminated. Data from recent peer-reviewed studies that report survival EC50s were also included (Norberg-King, Durhan et al. 1991; Takahashi and Hanazato 2007). Next, we calculated the geometric mean when more than one survival EC50 was reported for a species. Probability distributions of aquatic prey survival toxicity values (EC50s) We plotted the survival EC50 data for each of the three insecticides using cumulative probability distributions. We also plotted the data based on all test results for the species without taking the geometric means. From the distributions of the data, a single effect concentration and slope were derived to best represent the diverse community of prey available in juvenile salmonid freshwater and estuarine habitats. The distributions of individual EC50s and the geometric means of EC50s by taxa were analyzed to estimate the 50 th , 10 th , and 5 th percentiles. Figure 43 shows the distributions of geometric means of EC50s by taxa. Specifically, for each pesticide, a probability plot was used to graph the EC50 concentrations normalized to a normal probability distribution. For each plot, the X axis is scaled in probability (between zero and 100%) and shows the percentage of entire data whose value is less than the data point. The Y axis displays the range of the data on a log scale. The results of a linear regression of the log-transformed concentrations are shown and highlight the lognormal distribution of the data (Figure 43). In the regression equation, the normsinv function returns the inverse of the standard normal cumulative distribution. The standard normal distribution has a mean of zero and a standard deviation of one. For example, given a percentile value of 50 (i.e., a probability of 0.5), normsinv(50) returns a value of zero. The plots and regressions were performed using KaleidaGraph 4.03 (Synergy Software). 410
A. B. C. Figure 43. Probability plot for each pesticide showing the distribution of the geometric means of the EC50s for each aquatic invertebrate species. The straight line shows the result of a linear regression. In the regression equation, the normsinv() function returns the inverse of the standard normal cumulative distribution. See text for more details. A) Plot of carbaryl EC50s. B) Plot of carbofuran EC50s. C) Plot of methomyl EC50s. In Table 79, concentrations are reported for each insecticide associated with either the 50 th , 10 th , or 5 th percentiles derived from probability distribution plots with all study results (plots not shown) or with species geometric means. Percentiles from the species geometric means show 411
Page 1 and 2:
Ms. Debbie Edwards Director, Office
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National Marine Fisheries Service E
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Snake River Spring/Summer-Run Chino
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Commercial, Recreational, and Subsi
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Critical Habitat Risk Hypotheses ba
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Table of Figures Figure 1. Stressor
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Table of Tables Table 1. Registered
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Table 31. Area of Land Use Categori
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Table 67. . Examples of published f
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Agency: Activities Considered: Nati
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This Opinion is based on NMFS’ re
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activities that may improve EPA’s
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affect but is not likely to adverse
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On November 13, 2008, EPA provided
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On January 21, 2009, the agencies a
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in California, Idaho, Oregon, and W
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On that same date, EPA e-mailed NMF
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After registering a pesticide, EPA
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isk assessment. With these and othe
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Typically, formulations are combine
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EPA also issued generic and product
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pecans, peppers, pistachios, plums,
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Use Site plants, woody plants CRP a
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are subject to a four year phase-ou
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Table 2. Registered uses and applic
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mildews and other fungal diseases.
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methomyl are 32.4 lb a.i./acre/year
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would not likely adversely affect C
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In the final steps of our analyses,
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Evidence Available for the Consulta
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sustaining in the natural environme
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Stressors of the Action (see Figure
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Species Risk Hypotheses We construc
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habitats is then assessed. This por
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The problem formulation phase as ar
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Risk Characterization We follow the
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the probability of risk. In the Ris
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Figure 5. Map showing extent of inl
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Opinion. Summaries of the status an
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Chinook salmon are dependent on the
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Eureka Figure 6. CC Chinook salmon
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Table 6. CC Chinook salmon--prelimi
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Table 7 identifies populations with
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The CV drainage as a whole is estim
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have greatly reduced or eliminated
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Portland Salem Figure 9. LCR Chinoo
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important life history type remains
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Table 9. UCR Chinook salmon - preli
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In the most recent five-year geomet
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Figure 11. Puget Sound Chinook dist
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Status and Trends Puget Sound Chino
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flow, temperature, sediment load, w
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San Francisco Figure 12. Sacramento
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of historic spawning areas. Additio
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Status and Trends SR fall-run Chino
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Critical Habitat Critical habitat f
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Portland Seattle Spokane Figure 14.
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and five-year old fish, after two t
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surface and ground water and degrad
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Life History UWR Chinook salmon exh
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Bay, California. Historically, chum
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quality in the freshwater, estuarin
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Life History Chum salmon return to
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catastrophic events. Overall, the p
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Figure 17. Hood Canal Summer-run Ch
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improvements in 2000, with upward t
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ground water and degrade water qual
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San Francisco Figure 18. CCC Coho s
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Information on the abundance and pr
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Table 16 identifies populations wit
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Life History Although run time vari
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programs. The three major river sys
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Data on population abundance and tr
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Figure 21. Oregon Coast Coho salmon
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Preliminary spawner survey data for
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channels, backwaters, terrace tribu
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Figure 22. Ozette Lake Sockeye salm
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the 1997 status review due to resam
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Seattle Portland Figure 23. SR Sock
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Adult returns to Redfish Lake durin
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esume migration in early spring to
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Central California Coast Steelhead
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Status and Trends The CCC steelhead
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San Francisco Figure 25. California
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and Jackson 1996; McEwan 2001). Ste
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Olympia Portland Salem Figure 26. L
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hatchery fish in naturally-spawning
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species includes the only populatio
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Life History Most MCR steelhead smo
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Critical Habitat Critical habitat w
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Eureka Figure 28. Northern Californ
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may affect steelhead migration patt
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Of the 21 populations in the Puget
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Seattle Spokane Figure 30. SR Basin
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and spawner estimates for the Tucan
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San Jose Figure 31. S-CCC steelhead
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Figure 32. Southern California stee
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extinction,” with the remaining 1
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Portland Figure 33. UCR Steelhead d
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“low” for the Wenatchee and Met
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Figure 34. UWR Steelhead distributi
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Molalla/Pudding, Yamhill, Tualatin,
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Natural Mortality Factors Available
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Marine Mammal Predation Marine mamm
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downstream of Bonneville Dam. Socke
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Oceanographic Features and Climatic
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coincides with relatively poor ocea
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from streams in watersheds with agr
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chemicals used has decreased (Table
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California, Idaho, Oregon, and Wash
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to disease, decrease the ability of
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characterized by emergent aquatic p
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subregions and accounting units for
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Region USGS Subregion Central Calif
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Table 31. Area of Land Use Categori
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Table 33. Land uses and population
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(Table 34). See species ESU/DPS map
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undeveloped sites in the Santa Ana
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and grazing. Dams and water diversi
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Artificial Propagation Anadromous f
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water resources is handled by Calif
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containers at time of use. • Cond
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Table 36. Area of land use categori
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Columbia River Basin The most notab
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Ranching practices have led to incr
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17% of mainstem Yakima River sample
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detected in samples from all sites,
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Whitney 1979). Similarly, over one
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nation’s silver output has come f
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(USBR 1998 in (FCRPS 2008); providi
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The States of Oregon and Wasington
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Columbia River chum salmon are not
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including brown and brook trout, At
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density residential with some agric
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Although urban areas occupy only 2%
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Habitat Modification Much of the re
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Table 42. Pollutants of Concern in
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the 1950s. The vast majority of the
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pugettensis). An NPDES permit is re
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Habitat loss through wetland fills
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afted and moved to market or downst
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Oregon is in the process of develop
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Effects of the Proposed Action The
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Carbaryl dissipates in the environm
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high water solubility, low Kow, and
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Table 46. Environmental fate charac
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Species General Life History Descri
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Table 48. Examples of registered us
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Table 49. PRZM-EXAMS exposure estim
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estimate do not represent the highe
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BE provides a peak EEC of 5.5 μg/L
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alcoves, channel edge sloughs, over
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Carbaryl can also be applied at 8 l
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habitat had a downwind width of 10
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Depth of aquatic habitat (meters) B
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monitored in California, Idaho, Ore
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5.2 μg/L for carbofuran, 0.0150 -
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Summary information for carbaryl, c
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after flooding (Nicosia, Carr et al
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pesticide concentrations in the dis
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flowing water habitats, it is not s
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egistered products that contain mor
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potential ingredients in tank mixtu
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low maximum application rate. Howev
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occupy shoreline habitats of only a
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vertebrates and invertebrates (Walk
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Temperature and toxicity We found n
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exposure concentrations. Moreover,
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Summary of Toxicity Information Pre
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at several times during an experime
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Table 64. Assessment endpoint toxic
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fish, number of eggs per mature fem
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varigatus), an estuarine species, b
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included a NOAEC of 9.8 μg/L and a
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730 μg/L for D. magna (freshwater
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TEP) are contained in Appendix D-1.
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the uncertainties related to experi
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capacity (Little and Finger 1990).
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consumed relative to unexposed fish
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24 hr exposure (Zinkl, Shea et al.
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We located studies that measured ol
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endpoints of salmonids remains a re
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items (Courtemanch and Gibbs 1980;
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single pulse of chlorpyrifos was in
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Table 65. Study designs and results
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Chemical Taxa/species Assessment me
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Chemical Taxa/species carbofuran ca
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Chemical Taxa/species carbofuran ca
Page 377 and 378: macroinvertebrate community did not
Page 379 and 380: Jardine, MacLatchy et al. 2005; Luo
Page 381 and 382: Risk Characterization In this secti
Page 383 and 384: survival appears to be the most sen
Page 385 and 386: factor in the degree of toxicity of
Page 387 and 388: Figure 41. Methomyl exposure concen
Page 389 and 390: Table 67. . Examples of published f
Page 391 and 392: Additionally, the macroinvertebrate
Page 393 and 394: Measured Concentrations in Willapa
Page 395 and 396: up to 100 m off the carbaryl applic
Page 397 and 398: average initial concentration from
Page 399 and 400: • Unrelated (0): Conclusive evide
Page 401 and 402: the fish to determine the cause of
Page 403 and 404: Dose-addition assumes the cumulativ
Page 405 and 406: Table 73. Predicted AChE inhibition
Page 407 and 408: habitats during aerial applications
Page 409 and 410: The second line of evidence is whet
Page 411 and 412: D. Impair swimming which leads to r
Page 413 and 414: F. Exposure to mixtures of carbaryl
Page 415 and 416: used surfactant/adjuvant mixed with
Page 417 and 418: In a second modeling exercise, we t
Page 419 and 420: Carbaryl’s thresholds for the fou
Page 421 and 422: Table 75. Modeled output for Stream
Page 423 and 424: Table 77. Modeled output for Sockey
Page 425 and 426: The likelihood of scenarios 2 and 3
Page 427: The three insecticides are highly t
Page 431 and 432: elatively low survival EC50 values
Page 433 and 434: dominated by agricultural or urban
Page 435 and 436: Figure 45. Percent change in lambda
Page 437 and 438: Table 80. Multiple application scen
Page 439 and 440: Because olfaction plays an importan
Page 441 and 442: expect co-occurrence of the three i
Page 443 and 444: support one or more lifestages. For
Page 445 and 446: We attempted to compare expected co
Page 447 and 448: Cumulative Effects Cumulative effec
Page 449 and 450: entry into freshwater systems. Carb
Page 451 and 452: Integration and Synthesis The Integ
Page 453 and 454: carbofuran applications could cause
Page 455 and 456: The Status of Listed Resources and
Page 457 and 458: also exposed to poor water quality
Page 459 and 460: Given the life history of LCR Chino
Page 461 and 462: Chinook salmon. Furthermore, there
Page 463 and 464: all three a.i.s are expected to be
Page 465 and 466: completing migration to the Pacific
Page 467 and 468: The major threats to this ESU ident
Page 469 and 470: Land use data indicate that the Col
Page 471 and 472: Central California Coast Coho Salmo
Page 473 and 474: Pesticide use and detections in LCR
Page 475 and 476: effects. In several streams, one or
Page 477 and 478: ESU is evergreen forest. Between 19
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miles where agricultural crops are
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The Status of Listed Resources and
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carbofuran application to potatoes,
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The major threats to this DPS ident
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lowland areas (below 1,000 ft eleva
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consequences and subsequent populat
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and surface waters within the heavi
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1994). Most juvenile steelhead spen
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salmon, Northern California steelhe
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natural cover such as submerged and
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The precise change in the conservat
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coho salmon, LCR coho salmon, South
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Table 81. Jeopardy and Non-Jeopardy
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Reasonable and Prudent Alternatives
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The RPA is comprised of six require
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Table 83. Mandatory pesticide no ap
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items will die from these exposures
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action will attain this level in th
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proposed action. Therefore, inciden
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1. Minimize the amount and extent o
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met within the next 15 years, then
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Arunachalam, S., K. Jeyalakshmi, et
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Bortleson, G. C. and J. C. Ebbert (
Page 525 and 526:
CDFG (1995). "Letter dated 30 March
Page 527 and 528:
Davies, P. E. and L. S. J. Cook (19
Page 529 and 530:
FCRPS (2008). "Endangered Species A
Page 531 and 532:
Haggerty, M. J., A. C. Ritchie, et
Page 533 and 534:
IEPSPWT (1999). "Monitoring, assess
Page 535 and 536:
government from 1896 to 1945." Repo
Page 537 and 538:
Matthews, G. M. and R. S. Waples (1
Page 539 and 540:
NMFS (2004). Five-year integrated p
Page 541 and 542:
PSAT (2004). "State of the Sound 20
Page 543 and 544:
Schroder, S. L. (1977). "Assessment
Page 545 and 546:
Tufts, D. F. (1990). "Control of bu
Page 547 and 548:
Williams, A. K. and C. R. Sova (196
Page 549 and 550:
Introduction To assess the potentia
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ocean-type and stream-type Chinook
Page 553 and 554:
incorporates empirical data when av
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given a percentile value of 50 (i.e
Page 557 and 558:
species-appropriate growth period (
Page 559 and 560:
For Figure 3C, an exposure pulse wo
Page 561 and 562:
the n x n square matrix (A) by assi
Page 563 and 564:
spawn (Pess et al. 2002). Survival
Page 565 and 566:
distributed survival and reproducti
Page 567 and 568:
Figure 1: Life-History Graphs and T
Page 569 and 570:
Table 1. List of values used for co
Page 571 and 572:
Table 4. Matrix transition element
Page 573 and 574:
Figure 2. 555
Page 575 and 576:
Figure 4. 557
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Brewer, S.K., Little, E.E., DeLonay
Page 579 and 580:
Higgs, D.A., MacDonald, J.S., Levin
Page 581 and 582:
Morgan, M.J., and Kiceniuk, J.W. 19
Page 583 and 584:
Scholz, N.L., Truelove, N.K., Frenc
Page 585 and 586:
Appendix 2. Species and Population
Page 587 and 588:
Chinook Salmon (continued) ESU Popu
Page 589 and 590:
Chum Salmon ESU Population λ - H=0
Page 591 and 592:
Coho Salmon (continued) ESU Populat
Page 593 and 594:
Steelhead (continued) DPS Populatio
Page 595 and 596:
Appendix 3: Abbreviations 7-DADMax
Page 597 and 598:
FQPA Food Quality Protection Act ft
Page 599 and 600:
PPE Personal Protection Equipment P
Page 601 and 602:
Appendix 4: Glossary 303(d) waters
Page 603 and 604:
Salmon fall to head upriver to its
Page 605 and 606:
Main channel The stream channel tha
Page 607 and 608:
Smolt A juvenile salmon or steelhea
Page 609:
WQS “A water quality standard def
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