4 Pages

Estes et al. 1998

Course: MARE 390, Fall 2009
School: University of Hawaii -...
Rating:
 
 
 
 
 

Word Count: 4430

Document Preview

Whale REPORTS Killer Predation on Sea Otters Linking Oceanic and Nearshore Ecosystems J. A. Estes,* M. T. Tinker, T. M. Williams, D. F. Doak After nearly a century of recovery from overhunting, sea otter populations are in abrupt decline over large areas of western Alaska. Increased killer whale predation is the likely cause of these declines. Elevated sea urchin density and the consequent deforestation of kelp...

Register Now

Unformatted Document Excerpt

Coursehero >> Hawaii >> University of Hawaii - Hilo >> MARE 390

Course Hero has millions of student submitted documents similar to the one
below including study guides, practice problems, reference materials, practice exams, textbook help and tutor support.

Course Hero has millions of student submitted documents similar to the one below including study guides, practice problems, reference materials, practice exams, textbook help and tutor support.
Whale REPORTS Killer Predation on Sea Otters Linking Oceanic and Nearshore Ecosystems J. A. Estes,* M. T. Tinker, T. M. Williams, D. F. Doak After nearly a century of recovery from overhunting, sea otter populations are in abrupt decline over large areas of western Alaska. Increased killer whale predation is the likely cause of these declines. Elevated sea urchin density and the consequent deforestation of kelp beds in the nearshore community demonstrate that the otter's keystone role has been reduced or eliminated. This chain of interactions was probably initiated by anthropogenic changes in the offshore oceanic ecosystem. Apex predators often initiate forces that cascade across successively lower trophic levels, sometimes reaching the base of the food web (1). Plant-herbivore interactions vary predictably with trophic complexity in such systems, being weak or strong when the number of trophic levels is odd or even, respectively (2). Sea otters (Enhydra lutris) and kelp forests provide a well-known example of this pattern (3). After being protected from overhunting, recovering otter populations transformed nearshore reefs from two- to three-trophiclevel systems by limiting the distribution and abundance of herbivorous sea urchins, thereby promoting kelp forest development (4). Sea otters abounded across the North Pacific rim until unregulated exploitation in the maritime fur trade reduced the species to nearextinction by the early 20th century (5). Population regrowth began when protection was afforded under the International Fur Seal Treaty. A geographically discordant recovery pattern ensued because of the fragmented distribution of surviving colonies, the discontinuous nature of their habitat, and the otter's limited dispersal ability (5, 6 ). Consequently, by the 1970s otter populations had recovered to near maximum densities in some areas of their historic range, were growing rapidly in others, and remained absent from still others (7). The sea otter's predatory role in kelp forest ecosystems was discovered by contrasting inhabited with uninhabited areas (8) and by observing changes over time as the uninhabited areas were recolonized and their founding populations grew (4, 9). In addition to showing the influence of sea J. A. Estes, Biological Resources Division, U.S. Geological Survey, A-316 Earth & Marine Sciences Building, University of California, Santa Cruz, CA 95064, USA. M. T. Tinker, Glenside Ecological Services, 79 High Street, Victoria, British Columbia, V8Z 5C8, Canada. T. M. Williams, Department of Biology, University of California, Santa Cruz, CA 95064, USA. D. F. Doak, Environmental Studies Board, University of California, Santa Cruz, CA 95064, USA. *To whom correspondence should be addressed. Email: jestes@cats.ucsc.edu otters on North Pacific kelp forests, this approach has demonstrated a breadth of indirect effects on coastal ecosystems (10). The sea otter's reputation as a keystone species (11) is based on these interactions and processes. Recently, sea otter populations have declined precipitously and unexpectedly over large areas of western Alaska. We first detected this decline through population surveys at Adak Island in the central Aleutian archipelago, which indicated that the otter population decreased 25% per year through the 1990s, resulting in nearly an order-of-magnitude overall reduction by 1997 (Fig. 1). Additional surveys of Little Kiska, Amchitka, and Kagalaska Islands all show population declines of similar timing and rate to that which occurred at Adak (Fig. 1). Aerial surveys of the Aleutian archipelago conducted by the U.S. Fish and Wildlife Service in 1965 and 1992 further indicate that these declines are occurring throughout the region (12). The concurrent and widespread nature of these declines strongly suggests a causal link with the oceanic environment. Demographic explanations for the sea otter population declines are limited to reduced fertility, increased mortality, or redistribution. Of these, reduced fertility and redistribution can be excluded. Studies of radiotagged sea otters at Amchitka Island in 1992 94 and Adak Island in 199596 show that birth rates of adult females and pup survival rates from birth to weaning were similar to those of stable populations. Redistribution is equally unlikely because the declines were synchronous over large areas--there have been no population buildups on some islands to account for the losses on others--and radio-tagged otters at Amchitka and Adak islands provided no indication of redistribution during the declines (13). From this we conclude that the sea otter population declines were caused by increased mortality. Three lines of evidence point to increased predation by killer whales (Orcinus orca) as the reason for this mortality. First, although killer whales and sea otters have been observed in close proximity for decades, the first attack on a sea otter was seen in 1991. Subsequently, nine more attacks have been reported (14). We evaluated the likelihood that this cluster of recent observations was due to chance alone by summing the number of person-days spent in the Aleutian Islands by our research team before and after 1990 (3405 person-days before; 4005 after), estimating the attack rate from the post1990 data (0.0015 attacks per day), and then calculating the probability of no attacks being seen before 1990 if the attack rate remained constant over the 27-year period. By modeling the expected number of observed attacks as a Poisson process, the probability of zero attacks being seen before 1990 is 0.006 (15). Second, we evaluated the impact of killer whales on sea otter populations at Adak Island by contrasting otter population trends and survival rates between Clam Lagoon, an area uniquely inaccessible to killer whales, and adjacent Kuluk Bay, an open coastal environment (Fig. 2). Sea otter numbers were stable from 1993 through 1997 in Clam Lagoon, whereas in Kuluk Bay they declined by 76%. In 1995, we marked 17 otters in Clam Lagoon and another 37 in Kuluk Bay with flipper tags and surgically implanted radio transmitters in order to compare their behavior and demography. There was virtually no movement of the marked animals between these areas. However, through year 1 of the study, the disappearance rate of sea otters in Kuluk Bay (65%) was greater than five times that of Clam Lagoon (12%), a trend that continued through year 2. Finally, we estimated how many otters must have been eaten by killer whales to drive the decline rates, and then compared the actual number of observed attacks with the expected number of observed attacks based on this estimate. This analysis was done for the area between Kiska and Seguam Islands. Before the onset of the decline, an estimated 52,656 otters inhabited this area (16 ). Life table statistics (age-specific birth and death rates) were estimated from data collected during earlier field studies to construct a Leslie matrix for a stationary population. We then added an age-constant death rate (17) from killer whale predation sufficient to reduce the population by 78% over 6 years--the observed rate and magnitude of decline at Adak. The simulation was run by holding the number of individuals that died from killer whale predation constant over time, which produced a loss estimate of 6788 otters per year. The expected number of observed attacks produced by this approach is 5.05 for this 6-year period (18). This compares favorably with the 6 attacks that were seen. Disease, toxins, and starvation, which are three other causes of elevated mortality in wildlife populations, can be dismissed as causes of the population declines. Any one of these should have produced substantial numbers of beach-cast carcasses, whereas very www.sciencemag.org SCIENCE VOL 282 16 OCTOBER 1998 473 REPORTS few were found. Marked increases in sea urchin biomass during the population decline at Adak (Fig. 1) are further evidence against starvation, because sea urchins are the principal prey of sea otters in the Aleutian Islands (19). Although we looked specifically for signs of disease, none were found (20). Elevated contaminant concentrations have been reported in the Aleutian Islands (21), but subsequent analyses from 39 sites across the Aleutian archipelago have shown that these are restricted to a few small areas (22), which is inconsistent with the widespread declines in otter numbers. The collective evidence thus leads us to conclude that increased killer whale predation has caused the otter declines. Although the population size and status of killer whales in the Aleutian Islands are unknown, these animals are commonly seen. From the energetic requirements of free-ranging killer whales and the caloric value of sea otters, we estimate that a single killer whale would consume 1825 otters per year and thus that the otter population decline could have been caused by as few as 3.7 whales (23). Strikingly rapid changes in the kelp forest ecosystem have accompanied the sea otter population declines (Fig. 1). In 1987, when otters at Adak Island were near equilibrium density, the kelp forests were surveyed at 28 randomly selected sites (4). Otters were still numerous at Adak in 1991, when five of these sites were randomly chosen for the measurement of plant tissue loss to herbivory (24). Using similar procedures at the same sites in 1997, we resurveyed the kelp forest and repeated the measurements of plant tissue loss to herbivory. Over the 10-year interim, sea urchin size and density increased to produce an eight-fold increase in biomass, while kelp density declined by more than a factor of 12 (Fig. 1). The average rate of kelp tissue loss to herbivory increased from 1.1% per day in 1991 to 47.5% per day in 1997 (Fig.1). Observations made in August of 1997 revealed similar changes at Kiska, Amchitka, and Kagalaska Islands. Killer whales and sea otters have co-inhabited the west-central Aleutian archipelago for much of the past half century, and probably for millennia before. Thus, it is necessary to exFig. 2. Population trends and survival rates of sea otters in Clam Lagoon (solid squares) and adjacent Kuluk Bay (open circles), Adak Island, Alaska. (A) The rate of population change r, calculated as the slope of the linear best fit to the natural log of the number of otters counted versus year, for Kuluk Bay between 1993 and 1997 was 0.345 (SE 0.058), which is significantly different from 0 (R2 0.946, P 0.027). In Clam Lagoon, the rate of change over this same period was 0.006 (SE 0.034), which is not significantly different from 0 [R2 0.011, P 0.867; statistical power to detect r 0.1 0.9]. The measured rates in Kuluk Bay and Clam Lagoon differed significantly ( 2 27.26, 1 df, P 0.001). (B) Survival rates of marked sea otters differed significantly between Clam Lagoon (0.88 year1) and Kuluk Bay (0.35 year1; 2 13.52, 1 df, P 0.001). Fig. 1. (A) Changes in sea otter abundance over time at several islands in the Aleutian archipelago and concurrent changes in (B) sea urchin biomass, (C) grazing intensity, and (D) kelp density measured from kelp forests at Adak Island. Error bars in (B) and (C) indicate 1 SE. The proposed mechanisms of change are portrayed in the marginal cartoons--the one on the left shows how the kelp forest ecosystem was organized before the sea otter's decline and the one on the right shows how this ecosystem changed with the addition of killer whales as an apex predator. Heavy arrows represent strong trophic interactions; light arrows represent weak interactions. 474 16 OCTOBER 1998 VOL 282 SCIENCE www.sciencemag.org REPORTS plain why the behavior of killer whales toward sea otters has recently changed. The most likely explanation is a shift in the prey resource base for killer whales. Some killer whale groups or individuals feed on marine mammals (25), including Steller sea lions and harbor seals, and populations of both these species recently have collapsed across the western North Pacific. Sea lion populations began to decline in the late 1970s, and their numbers had reached minimum levels in the Aleutian islands by the late 1980s (26 ), a time that coincides with the onset of otter declines. Although the exact cause of the pinniped decline is uncertain (27), it probably relates to reduced abundance and altered species composition of their prey (28). Recent population declines of piscivorous marine birds are consistent with this explanation (29). Why forage fish stocks have shifted is not well understood, although the change was likely caused by some combination of effects from the region's burgeoning fisheries, increased ocean temperature, and depletion of baleen whales (30). Regardless of the ultimate cause, sea otter population declines and the consequent collapse of kelp forest ecosystems almost certainly have been driven by events in the offshore oceanic realm. Our proposed explanation involves a chain of ecological interactions, beginning with reduced or altered forage fish stocks in the oceanic environment, which in turn sent pinniped populations into decline. Pinniped numbers eventually became so reduced that some of the killer whales who once fed on them expanded their diet to include sea otters. This shift in killer whale foraging behavior created a linkage between oceanic and coastal ecosystems and in so doing transformed coastal kelp forests from three- to four-trophic-level systems, thereby releasing sea urchins from the limiting influence of sea otter predation. Unregulated urchin populations increased rapidly and overgrazed the kelp forests, thus setting into motion a host of effects in the coastal ecosystem. Parts of this scenario are well documented, others are more speculative, and still others have yet to be evaluated. Nonetheless, the data are sufficient to make several points of broader ecological significance. First, our findings afford evidence of the often underappreciated importance that uncommon and transient species can have in controlling community structure, demonstrating further that such species can link interactions across ecosystems. Although intersystem linkages are becoming increasingly well known (31), this example is unusual because the linkage is formed through the activities of a top-level carnivore. Additionally, our results are relevant to understanding food web dynamics, because they demonstrate that adding another apex predator to a system under top-down control has predictable effects on plant populations at the base of the food chain. Finally, results from this long-term study have implications for both the approach to and scale of other ecological field studies. The events reported here could not have been chronicled or even detected in a short-term study, were unanticipated, and thus seem poorly suited for analysis by a priori hypothesis testing. These points emphasize the potential significance of large-scale ecological events and the consequent need for large-scale approaches ecological in research. References and Notes team during this period; T 52,560 hours (that is, 6 years); a 1 km, which is the observer's sighting window [that is, two times the maximum distance from observers that attacks have been seen (14)]; and A 3327 km, which is the area's coastal length. J. A. Estes et al., in Worldwide Furbearer Conference Proceedings, J. A. Chapman and D. Pursley, Eds. (Univ. of Maryland Press, Frostburg, MD, 1981), pp. 606 641. Gross observation and hematological analyses of 66 sea otters captured at Adak, Amchitka, Kiska, and Kanaga Islands during the summer of 1997 failed to provide any known sign of disease. All of these animals appeared to be in excellent health (D. Jessup, Senior Wildlife Veterinarian, California Department of Fish and Game, Santa Cruz, CA, personal communication). J. A. Estes et al., Mar. Poll. Bull. 34, 486 (1997). S. Reese, thesis, University of California, Santa Cruz (1998). We have estimated that 40,000 sea otters would have to have been eaten to drive the observed decline. The minimal number of killer whales necessary to consume this number of otters was determined by measuring the caloric value of sea otters; estimating the field metabolic rate of killer whales, discounted for assimilation efficiency; and then equating these values to estimate the number of sea otters needed to fuel a wild killer whale. The caloric content of adult sea otters, determined by adiabatic bomb calorimetry of homogenized carcasses, averaged 1.81 0.04 kcal gm1 of wet weight. Field metabolic rate (FMR) was 7934 watts ( W) for female and 11,800 W for male killer whales (51 to 59 kcal kg1 of killer whale per day). Values for FMR were based on field metabolic rates of odontocetes (D. P. Costa and T. M. Williams, unpublished data) and their basal metabolism [B. Kriete, thesis, Univ. of British Columbia (1995)]. Our estimate of killer whale FMR compares with the 30 to 62 kcal kg1 day1 reported by L. G. Barrett-Lennard et al. [Report for the North Pacific Universities Marine Mammal Consortium (Univ. of British Columbia, Vancouver, BC, Canada, 1994)], R. W. Baird [thesis, Simon Frasier University, Vancouver, BC, Canada, (1994)], and B. Kriete [thesis, Univ. of British Columbia, Vancouver, BC, Canada, (1995)]. The caloric value of sea otters compares with a range of 0.78 to 3.55 kcal gm1 of wet weight for fish and other marine mammals that make up the killer whale diet. An adult male sea otter weighing 34 kg provides 61,540 kcal (34,000 gm 1.81 kcal gm1 of wet weight); a 23-kg adult female otter provides 41,630 kcal. From this, we calculated that an adult female killer whale feeding exclusively on sea otters would need three male or five female sea otters per day, and an adult male would require five male or seven female otters per day. The average consumption rate (five otters per whale per day) was divided into the sea otter loss estimate to determine how many killer whales would be needed to account for the losses. Based on this approach, 3.7 killer whales feeding exclusively on sea otters would be sufficient to drive the population decline. These measurements of plant tissue loss were obtained by placing preweighed pieces of tissues from blades of the four most common kelp species--Alaria fistulosa, Laminaria groenlandica, Agarum cribrosum, and Thalassiophyllum clathrus-- on the seafloor and recording their change in mass over 24 hours relative to that of adjacent caged controls. Five replicates were done for each species at each site. J. R. Heimlich-Boran, Can. J. Zool. 66, 565 (1988); J. K. B. Ford et al., Killer Whales: The Natural History and Genealogy of Orcinus orca in British Columbia and Washington State (Univ. of British Columbia Press, Vancouver, BC, 1994). A. E. York et al., in Metapopulations and Wildlife Conservation, D. R. McCullough, Ed. (Island Press, Washington, DC, 1996), pp. 259 292. M. A. Pascual and M. D. Adkison, Ecol. Appl. 4, 393 (1994). R. L. Merrick et al., Can. J. Fish. Aquat. Sci. 54, 1342 19. 20. 1. S. R. Carpenter and J. F. Kitchell, The Trophic Cascades in Lakes (Cambridge Univ. Press, Cambridge, 1993). 2. N. G. Hairston et al., Am. Nat. 94, 421 (1960); S. D. Fretwell, Oikos 50, 291 (1987); M. E. Power, Science 250, 811 (1990). 3. P. D. Steinberg et al., Proc. Natl. Acad. Sci. U.S.A. 92, 8145 (1995). 4. J. A. Estes and D. O. Duggins, Ecol. Monogr. 65, 75 (1995). 5. K. W. Kenyon, North American Fauna 68, 1 (1969). 6. M. L. Riedman and J. A. Estes, Biol. Rep. U.S. Fish Wildl. Serv. 90 (14), 1 (1990). 7. L. M. Rotterman and T. Simon-Jackson, in Selected Marine Mammals of Alaska, J. W. Lentfer, Ed. (PB8817462, National Technical Information Service, Springfield, VA, 1988), pp. 237275. 8. J. A. Estes and J. F. Palmisano, Science 185, 1058 (1974). 9. G. R. Van Blaricom and J. A. Estes, Eds., The Community Ecology of Sea Otters (Ecological Studies No. 65, Springer-Verlag, NY, 1988). 10. D. O. Duggins et al., Science 245, 170 (1989); P. K. Dayton, Fish. Bull. 73, 230 (1975); D. O. Duggins, Ecology 61, 447 (1980); D. C. Reed and M. S. Foster, ibid. 65, 937 (1984); J. A. Estes, in Aquatic Predators and Their Prey, S. P. R. Greenstreet and M. L. Tasker, Eds. (Fishing News Books, Oxford, 1996), pp. 6572. 11. M. E. Power et al., Bioscience 46, 609 (1996). 12. By 1965, otter populations had recovered to preexploitation levels at most of the Aleutian islands, from Kiska in the west to Adak in the east (5). Of the 21 islands in this region that were surveyed in both 1965 and 1992, sea otter counts decreased at all but one, for an average reduction of 58%. The 1965 data are from (5); the 1992 data are from T. J. Evans et al., Technical Report MMM 97-5 (U.S. Fish and Wildlife Service, Anchorage, AK, 1997). 13. Among resightings of radio-tagged otters at Adak (1635 resightings of 52 otters) and Amchitka (3711 resightings of 98 otters), the maximum distances moved were 4.31 and 6.95 km, respectively. From 1992 to 1997, most of the marked animals that were lost from these populations disappeared suddenly and without a trace, after being seen regularly in predictable locations through months of study. 14. B. B. Hatfield et al., Mar. Mamm. Sci., in press. 15. This probability was calculated from the Poisson probability density function f(x) e x/x!, for 5.1 (the expected number of attacks seen) and x 0 (the number of attacks actually seen). 16. This number was obtained from counts made during a 1965 aerial survey (5) and adjusted upward by a factor of 5.62 to account for the proportion of animals that were not seen. The adjustment factor was calculated from a 1972 estimate of sea otter abundance at Amchitka Island [estimate, 6432; from J. A. Estes, in The Environment of Amchitka Island, M. L. Merritt and R. G. Fuller, Eds. (TID-26712, U.S. Energy Research and Development Administration, Springfield, VA, 1977), pp. 511526] divided by the number of otters counted at Amchitka in the 1965 aerial survey (1144). 17. The age-constant death rate was inferred from the age-constant rates of otter disappearance seen in our field studies of marked sea otters at Adak Island. 18. The expected number of observed attacks was calculated as N(t/T )(a/A), where N 40,728 otters, which is the estimated number eaten by killer whales between 1991 and 1997; t 21,677 hours, which is the number of person-hours of field time spent by our research 21. 22. 23. 24. 25. 26. 27. 28. www.sciencemag.org SCIENCE VOL 282 16 OCTOBER 1998 475 REPORTS (1997); R. L. Merrick and D. G. Calkins, U.S. Department of Commerce, NOAA Tech. Rep. NMFS 126, 153 (1996). 29. A. Springer, Alaska Sea Grant Report 93-01, 14 (Univ. of Alaska, Fairbanks, AK, 1993). 30. National Research Council, The Bering Sea Ecosystem (National Academy Press, Washington, DC, 1996). 31. G. A. Polis and D. R. Strong, Am. Nat. 147, 813 (1996); G. A. Polis et al., Annu. Rev. Ecol. Syst. 28, 289 (1997). 32. Supported by grants from NSF and the Office of Naval Research, and by a contract from the U.S. Navy. The Alaska Maritime National Wildlife Refuge provided logistic support for work in the Aleutian Islands. We thank C. Dominick, B. Konar, J. Meehan, K. Miles, and J. Stewart for field assistance and K. Clifton, D. Croll, E. Danner, L. Fox, B. Lyon, R. Ostfeld, M. Power, and A. Springer for comments on the manuscript. 27 May 1998; accepted 20 July 1998 Induction of Antigen-Specific Cytotoxic T Lymphocytes in Humans by a Malaria DNA Vaccine Ruobing Wang,* Denise L. Doolan,* Thong P. Le, Richard C. Hedstrom, Kevin M. Coonan, Yupin Charoenvit, Trevor R. Jones, Peter Hobart, Michal Margalith, Jennifer Ng, Walter R. Weiss, Martha Sedegah, Charles de Taisne, Jon A. Norman, Stephen L. Hoffman CD8 cytotoxic T lymphocytes (CTLs) are critical for protection against intracellular pathogens but often have been difficult to induce by subunit vaccines in animals. DNA vaccines elicit protective CD8 T cell responses. Malaria-naive volunteers who were vaccinated with plasmid DNA encoding a malaria prot...

Find millions of documents on Course Hero - Study Guides, Lecture Notes, Reference Materials, Practice Exams and more. Course Hero has millions of course specific materials providing students with the best way to expand their education.

Below is a small sample set of documents:

Wayne State University - GST - 2710
Kenai Fjords National ParkUser: Date: Purpose: To display attendance information for the parkKenai Fjords National Park UsageMonth Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec Exit Glacier Visitor Center 186 202 129 144 404 603 848 1,195 11,655 3,19
Wayne State University - GST - 2710
Vega TelescopesAuthor: Date: Purpose: United States sales figures for three Vega telescopesVega TelescopesMonthly US Sales For the Year Ending December 31, 2006Vega Telescope Sales (United States)MonthJanuary February March April May June July Augus
Wayne State University - GST - 2710
Vega TelescopesAuthor: Date: Purpose: The annual sales report for four of the top-selling Vega modelsVega TelescopesAnnual Sales Figures For the Year Ending December 31, 2006ModelBrightStar 6 BrightStar 8 NightVision 12 NightVision 16 TotalUnited St
Wayne State University - GST - 2710
NewGeneration Monitors Author: Date: Purpose:To report regional sales figures on three NewGeneration monitors.NewGeneration Monitors Regional Sales Report 1/1/2006 - 12/31/2006 Sales by Region Region VX100 VX300 Flatscreen Total Northeast 1723 2248 520
Wayne State University - GST - 2710
Wizard Works Author Date PurposeTo enter orders for Wizard WorksWizard Works Orders for March, 2007Shipping Costs Standard Discount for orders > $200$8.95 Express 5% Price $29.95 $19.95 $19.95 Subtotal Shipping Discount TOTAL Qty 2 1 3Customer Wilson
Wayne State University - GST - 2710
NewGeneration Monitors Author: Date: Purpose:To report and analyze annual sales figures from three NewGeneration monitorsNewGeneration Monitors Sales Data 1/1/2006 - 12/31/2006 Monthly Sales Data Month VX100 VX300 FlatScreen January 1410 1860 February 1
Wayne State University - GST - 2710
Sonic Sounds Author: Date: Purpose:To record payroll information for the employees of Sonic SoundsPayroll Information Today's Date Health Plans Total Salaries Total 401(k) Contributions Total Health Insurance5/1/2006 Premier Standard $6,500 $5,500 401(
Wayne State University - GST - 2710
Wizard Works Author Date PurposeTo create a sales report for Wizard Works products.Wizard Works Sales Summary Regions Region 1 Region 2 Region 3 Region 4 Total Average Minimum Maximum Fountains Units Sold Percent Firecrackers Units Sold Percent Rockets
Wayne State University - GST - 2710
Giles Family Budget Created By: Date Created: Purpose: To analyze financial data from the Giles family budgetGiles Family Budget Year 2006 Figures Monthly Figures Income Jan Ken's Salary Ava's Salary Total Taxes Mortgage Car Payments Health Insurance Oth
Wayne State University - GST - 2710
Year Sales2006 Net Sales 12,510 Cost of Sales 4,140 Gross Margin2005 10,981 3,8102004 9,004 3,011 Shares Net income per share 3,581 3001Expenses Operting Income Other Income Pre-tax Income Income Tazes Net Income*(milllions except per-share amounts)
Wayne State University - GST - 2710
Lifestyles Home Care, Inc.284 Central Street Woburn, MA 01801 (781) 555-3038 November 4, 2010Dear Partner in Health Care: Lifestyles Home Care has consistently provided quality home care services to elderly and disabled clients when they are discharged
Bowling Green - FI - 8000
Futures and Forward Contracts 1. Follow the price of an S&P 500 Futures contract (traded on the CME) for 5 days. Use the contract that calls for delivery in a month or so. Assume that the initial margin is $20,000 and the variation margin is $15,000 per c
NJIT - CIS - 332
Module 19: SecurityI The Security Problem I Authentication I Program Threats I System Threats I Securing Systems I Intrusion Detection I Encryption I Windows NTOperating System Concepts19.1Silberschatz, Galvin and Gagne 2002The Security ProblemI Sec
NJIT - CIS - 332
Chapter 17 Distributed CoordinationI Event Ordering I Mutual Exclusion I Atomicity I Concurrency Control I Deadlock Handling I Election Algorithms I Reaching AgreementOperating System Concepts17.1Silberschatz, Galvin and Gagne 2002Event OrderingI Ha
NJIT - CIS - 332
Chapter 10: Virtual MemoryI Background I Demand Paging I Process Creation I Page Replacement I Allocation of Frames I Thrashing I Operating System ExamplesOperating System Concepts10.1Silberschatz, Galvin and Gagne 2002BackgroundI Virtual memory sep
NJIT - CIS - 332
Module 15: Network StructuresI Background I Topology I Network Types I Communication I Communication Protocol I Robustness I Design StrategiesOperating System Concepts15.1Silberschatz, Galvin and Gagne 2002A Distributed SystemOperating System Concep
NJIT - CIS - 332
Chapter 8: DeadlocksI System Model I Deadlock Characterization I Methods for Handling Deadlocks I Deadlock Prevention I Deadlock Avoidance I Deadlock Detection I Recovery from Deadlock I Combined Approach to Deadlock HandlingOperating System Concepts8.
NJIT - CIS - 332
Chapter 7: Process SynchronizationI Background I The Critical-Section Problem I Synchronization Hardware I Semaphores I Classical Problems of Synchronization I Critical Regions I Monitors I Synchronization in Solaris 2 & Windows 2000Operating System Con
NJIT - CIS - 332
Chapter 6: CPU SchedulingI Basic Concepts I Scheduling Criteria I Scheduling Algorithms I Multiple-Processor Scheduling I Real-Time Scheduling I Algorithm EvaluationOperating System Concepts6.1Silberschatz, Galvin and Gagne 2002Basic ConceptsI Maxim
NJIT - CIS - 332
Chapter 4: ProcessesI Process Concept I Process Scheduling I Operations on Processes I Cooperating Processes I Interprocess Communication I Communication in Client-Server SystemsOperating System Concepts4.1Silberschatz, Galvin and Gagne 2002Process C
NJIT - CIS - 332
Chapter 3: Operating-System StructuresI System Components I Operating System Services I System Calls I System Programs I System Structure I Virtual Machines I System Design and Implementation I System GenerationOperating System Concepts3.1Silberschatz
NJIT - CIS - 332
Chapter 2: Computer-System StructuresI Computer System Operation I I/O Structure I Storage Structure I Storage Hierarchy I Hardware Protection I General System ArchitectureOperating System Concepts2.1Silberschatz, Galvin and Gagne 2002Computer-System
Maryland - EDMS - 722
SIMPLIS Guide 2009 Mueller & HancockS IMPLIS S OFTWARE G UIDEGoSIMPLIS Software Guide EDMS 722, Spring 2009SIMPLIS GuideThis introductory guide to the SIMPLIS command language of LISREL is not intended to replace the detailed information available i
Old Dominion - COMP - 3361
Lectures on distributed systemsRemote Procedure CallsPaul KrzyzanowskiIntroduction, or what's wrong with sockets?are a fundamental part of client-server networking. They provide a relatively easy mechanism for a program to establish a connection to an
Old Dominion - COMP - 3361
WEB SEARCH FOR A PLANET: THE GOOGLE CLUSTER ARCHITECTUREAMENABLE TO EXTENSIVE PARALLELIZATION, GOOGLES WEB SEARCHAPPLICATION LETS DIFFERENT QUERIES RUN ON DIFFERENT PROCESSORS AND, BY PARTITIONING THE OVERALL INDEX, ALSO LETS A SINGLE QUERY USE MULTIPLE
Old Dominion - COMP - 3361
Chapter 2: Operating-System StructuresSilberschatz, Galvin and Gagne 2009Chapter 2: Operating-System Structuress Operating System Services s User Operating System Interface s System Calls s Types of System Calls s System Programs s Operating System Des
Old Dominion - COMP - 3361
Chapter 1: IntroductionSilberschatz, Galvin and Gagne 2009Chapter 1: Introductions What Operating Systems Do s Computer-System Organization s Computer-System Architecture s Operating-System Structure s Operating-System Operations s Process Management s
University of Florida - ARC - 3181
UNL - CHEM - 869
Henry's Law and the Bends Scuba divers must be very conscious of Caisson's disease, commonly called 'The Bends'. The Bends is a nitrogen solubility problem. Since the air we breathe is 78% nitrogen, nitrogen is dissolved in all of our tissues. The amount
CSU LA - BIOL - 518
MICROBIOLOGY AND MOLECULAR BIOLOGY REVIEWS, Sept. 2004, p. 518537 1092-2172/04/$08.00 0 DOI: 10.1128/MMBR.68.3.518537.2004 Copyright 2004, American Society for Microbiology. All Rights Reserved.Vol. 68, No. 3Determination of the Core of a Minimal Bacter
Allan Hancock College - EE - 301
A PRIMER IN MATLABME C91 Fundamentals of Control Systems I Winter, 1996 J.E. ColgateMatlab is a very powerful application for performing all sorts of analyses on linear systems. For instance, Matlab can be used to solve for pole and zero locations, to s
Miami University - PHY - 182
Solutions to HW on Boltzmann distribution and Entropy1)2)4)As shown in class for a two-level system,5)6)7)8)9)
Oregon State University - CS - 589
Cognitive Walkthrough Mini-ProjectCS 589, Spring 2003(For teams of 3-4: in our experience, teams of 3 or morefind errors much better than smaller teams.)Pick a small aspect of a VPL or VPE you all have experience with oraccess to, and a goal.Possibl
Oregon State University - CS - 589
A Scalable Method for Deductive Generalization in the Spreadsheet Paradigm1Margaret Burnett*, Sherry Yang*, and Jay Summet* Oregon State University Corvallis, Oregon cfw_burnett, summet@cs.orst.edu* *Oregon Institute of Technology Klamath Falls, Oregon
Oregon State University - CS - 589
Journal of Visual Languages and Computing (1997) 8, 375402On the Classification of Visual Languages by Grammar HierarchiesKIM MARRIOTT 1ANDBERND MEYERRS1 Department of Computer Science, Monash University, Clayton, Victoria 3168, Australia, marriott@c
Oregon State University - CS - 589
Int. J. Human-Computer Studies (2001) 54, 237264 doi:10.1006/ijhc.2000.0410 Available online at http:/www.idealibrary.com onStudying the language and structure in non-programmers' solutions to programming problemsJOHN F. PANE, CHOTIRAT &ANN' RATANAMAHAT
Oregon State University - CS - 589
User ManualLabVIEW User ManualNovember 2001 Edition Part Number 320999D-01Worldwide Technical Support and Product Information ni.com National Instruments Corporate Headquarters 11500 North Mopac Expressway Worldwide Offices Australia 03 9879 5166, Aust
Oregon State University - CS - 589
A Cognitive Dimensions QuestionnaireAlan Blackwell and Thomas GreenThis questionnaire was developed as a tool for assessing the usability of information devices by means of the Cognitive Dimensions of Notations framework. For further reading on the fram
Oregon State University - CS - 589
ProgrammingBYCombining programming by example and real-world analogies, users create new behavior out of existing behavior.ExamplesWhy do end users need to program? Anyone can become overwhelmedtrying to cope with information in a world flooded by in
Oregon State University - CS - 589
Development and Evaluation of a Model of Programming ErrorsAndrew J. Ko and Brad A. Myers Human-Computer Interaction Institute School of Computer Science Carnegie Mellon University Pittsburgh, PA 15213 USA ajko@cmu.edu, bam+@cs.cmu.edu AbstractModels of
Lake County - ECE - 190
0J 1f"I \~ - ~. - .-...\I 0 \ n \'I -+. II . . $. rJ > -<jr$- -0 _-. . - :tot \ \ - '. ;_ 0 \ . . :>"'.e - - -.J) Vt, ,I0-;'c.Ir Jf< rct<.r<:(0'5 0'.,.., c.V"-l.0'-"i.",. .V) -L:.0)S\-f u-l;.- r,,00\,I :P"I
UNC - BWV - 850
Praeludium VJohann Sebastian Bach (1685-1750) BWV 85036912151821Public Domain224273033Sheet music from www. MutopiaProject .org Free to download, with the freedom to distribute, modify and perform. Typeset using www. LilyPond .org by Itay P
Lake County - ECE - 190
rJt/\~'>'V'J.j ~.,~ l,.,~, K~~~~k0-b/:)"oI-,I-41CJ-T.,,\:! ~ ., -, -:),.ii!~ ~ r- ~A'1_,;!~ ~ r;:- ,-f-7~I~~ ':>:r>--tc.VI~~>f\-rt 3 ~ ~ -r ~~,~~ ~ .vG"(Jn_-r,~ CJSo-.~'"q11., :>'- " 'I J -A-
Berkeley - EXAM - 170
Practice Final 2 for Math 170 (Fall 2007)12(Math 170) Practice Final 2:2 (1) Let Rn+1 = Rn + 4Rn 2 be a mathematical model with R0 = 1. Whatis R3 ? (2) Let Rn+1 = (Rn )3 3Rn be a mathematical model. How many equilibrium points does Rn have and what a
Berkeley - WEEK - 104
Math 104-006Chapter 12.7: Strategies for Testing SeriesOutline For Today General Approach to Convergence and Divergence of Series.General Method We now have several methods for determining whether or not a series converges. As with integration we wan
Berkeley - MATH - 360
1(Math 360) Multiple Choice Final:April 20, 2009Write all answers in the spaces provided below! No notes or calculators allowed. There is no penalty for guessing and there is no partial credit. Good Luck!Name 1. 2. 3. 4. 5. 6. 7. 8. 9. 10. 11. 12. 13.
Arizona - OPTI - 471
Foucault and Wire TestsProf. Russell Chipman Optical Sciences Center Senior Optics Lab, 471AWire Test Wire is moved through beam of light near focus while looking at or imaging exit pupilWire TestWhat is Exit Pupil?Foucault Test Knife edge is moved
East Los Angeles College - LS - 72633
An evolving view of duplex vision: separate but interacting cortical pathways for perception and actionMelvyn A Goodale,1 and David A Westwood2In 1992, Goodale and Milner proposed a division of labour in the visual pathways of the primate cerebral corte
illinoisstate.edu - PSY - 138
Name _ Lab 11 Worksheet Show your work for each problem in the lab: (1) (2)(3) What is the probability of having an IQ of 130 or above?(4) What is the probability of having an IQ of 120 or above?(5) What is the probability of having an IQ score of 91 o
East Los Angeles College - PHYS - 77153
Allan Hancock College - USA - 1919
The CPA's Application to the Communist Internatinal1Application for Membership in the Communist International on Behalf of the Communist Party of America.[November 24, 1919]by Louis C. FrainaOriginally published in A. Mitchell Palmer (ed.), Red Radic
Allan Hancock College - USA - 1921
1921 Workerrs Party of America Convention Call1Convention Call to Organize The Workers' Party of America(circa November 1921)From a typewritten document in the Comintern Archive, f. 515, op. 1, d. 77, l. 7-8.A fierce class war is raging throughout th
UNC - GEOG - 491
Available online at www.sciencedirect.comGeoforum 39 (2008) 867878 www.elsevier.com/locate/geoforumComplexity theory, spatial simulation models, and land use dynamics in the Northern Ecuadorian AmazonStephen J. Walsha,, Joseph P. Messina b, Carlos F.
UNC - GEOG - 491
Thematic Layers in a GIS Data StackGIS as Digital Map Layers"All of the layers are referenced to the same coordinate system a spatial referencing system Each layer represents a different geographic theme, phenomena, or featureData IntegrationIntegrate
Texas A&M - ENTO - 606
Model SelectionGENE 606/ENTO 606Review of models Reversible (GTR family): rate matrix, among-site rate variation, base frequencies Non-reversible: accommodate base frequency changes in different parts of tree accommodate changes in rates of sites in d
CSU Northridge - HCHSC - 005
For all you Engineers, Mathematicians, or those who like to work with numbers, try these conversions Ratio of an igloo's circumference to its diameter: Eskimo Pi 2000 pounds of Chinese soup: Won ton 1 mllionth of a mouthwash: 1 microscope Time between sli
Villanova University - ECE - 4790
3/16/99ECE 4790ELECTRICAL COMMUNICATIONS PRACTICUMS Spring 99 PRACTICUM #7Z ERO F ORCING E QUALIZEROBJECTIVES: Want to design an equalizer that forces ISI to vanish at sampling instants in a digital communication receiver. METHOD: A receiver receives
Villanova University - ECE - 4790
3/11/99ECE 4790 E LECTRICAL COMMUNICATIONS PRACTICUMS SPRING 99 PRACTICUM #6 Frame Synchronization in a T1 LineOBJECTIVES: Given a T1 data stream with unknown beginning and end, we want to establish the proper timing for later demultiplexing of the data
Villanova University - ECE - 4790
2/25/99ECE 4790 E LECTRICAL C OMMUNICATIONS P RACTICUMS SPRING 99 P RACTICUM #5 QUADRATURE A MPLITUDE MULTIPLEXINGOBJECTIVES: QAM is a way of sending two signals simultaneously over the same bandwidth. We will use the qam option of modulate and demod fo
Villanova University - ECE - 4790
2/9/99ECE 4790 E LECTRICAL C OMMUNICATIONS P RACTICUMS SPRING 99 P RACTICUM #3 A MPLITUDE MODULATIONOBJECTIVES: In this lab we will generate an amplitude modulated version of bond. We will look at its time domain plot, calculate the modulation index and