Standards, Protocols and Guidelines: Salmon Escapement Estimation Introduction: All salmon stock management systems rely on estimates of annual and seasonal variations in total abundance determined at each of several life history stages by a variety of different methods. Because of the history and focus on adult salmon as a harvestable resource, the most basic fisheries management system depends on annual assessments of total returns of adults. Total returns are comprised of all fish of a given species and “stock” accounted for in catch plus the remainder that manage to escape harvest in fisheries to return as spawners to their freshwater locations of origin. Consequently, the number of spawners that succeed in returning to a given lake or stream is also commonly known as the “escapement”. Thus, annual assessments of salmon escapement and associated variables are critical activities required to satisfy federal, First Nations/treaty tribal, provincial, and state fisheries agency mandates in several areas including: (1) stock conservation, (2) compliance with fiduciary obligations to aboriginal fisheries groups, (3) harvest management, (4) habitat conservation and management, (5) indexing and maintenance of ecosystem integrity, and (6) stock and habitat research. The collection of salmon escapement information involves a diverse set of activities including specification of stream survey enumeration plans, training of field surveyors, data gathering and documentation, data review and upload, data analysis or synthesis of summary estimates, and release of the data to both internal (i.e. fisheries agency personnel) and external clients. In Canada the coordination of these activities is performed by federal (Stock Assessment Division of Fisheries and Ocean’s Science Branch) or provincial stock assessment groups. In the U.S. these activities typically are coordinated by the state and tribal fishery managers. Standards Standards are intended to provide information of a specific quality, in terms of accuracy, precision, and reliability, to attain specific objectives, and so the standards for salmon escapement programs vary depending according to scientific objectives. Ultimately the choice of standards rests with the principal investigator and balance between program objectives, resources, and characteristics of the species and environment. The accuracy, precision and reliability of escapement estimates are affected by characteristics such as the assessment method, species behaviour, hydrological and other environmental conditions (as seen in Table 1 below). It is often highly demanding on resources to gain information about the accuracy (i.e., the amount by which the average of repeated estimates exceeds or falls below the true value of the indicator in nature) of a specific assessment method under certain conditions, so such studies are typically rare. However from the limited information available, there are several types of assessment methods with common aspects of accuracy, precision, and reliability, while recognizing that exceptions occur (Table 1). Protocols and Guidelines Escapement assessment methods are well described in the scientific fisheries literature (see example references below), including peer-reviewed papers, published manuscript reports, and text books. However, study designs can vary among locations and species to best achieve a balance between objectives, resources, species behaviour and environmental conditions which has contributed to a high diversity among the methods used to estimate salmon spawner numbers. Typically assessment methods are described in manuscript reports, stream narratives, or stock assessment reports to communicate the quality of the annual escapement estimate or assessment program. The following field survey methods have been commonly used to enumerate salmon spawners: Fixed Site Surveys Fences Fishways Fixed Location Acoustics Electronic Gates Optical Gates Fishwheels Traps or Nets Towers Mobile Surveys Aerial Surveys Fixed Wing Overflight Helicopter Overflight Remote Surveys Ground Surveys Streamwalk Streamfloat – Above Surface Observer Streamfloat – Below Surface Observer Mobile Acoustics Mark-Recapture Surveys Interval Counts Catch per Unit Effort Surveys Surveys of other life stages Redd Surveys Egg Surveys Juvenile Surveys (fry, smolts) Table 1. Characterization of escapement estimates based on associations between survey method, reliability, accuracy and precision. Estimate Type Type-1, True Abundance, high quality Type-2, True Abundance, high quality Type-3, True Abundance, medium quality Type-4, Relative Abundance, medium quality Survey Method(s) total, seasonal counts through fence or fishway; virtually no bypass High effort (8 or more annual trips), standard methods (e.g. markrecapture, serial counts for area under curve with direct2 survey life, etc...) low effort (2-3 trips) of a standard method (e.g. peak count method) expanded by a factor to estimate true abundance high effort (5 or more trips), standard methods (e.g. equal effort surveys executed by walk, swim, overflight, indirect2 survey life etc.) Type-5, Relative Abundance, low quality low to moderate effort (1-4 trips), known survey method but no expansion factor Type-6, Relative Abundance, poor quality low effort (e.g. 1 trip), use of vaguely defined, inconsistent or poorly executed methods Analytical Method(s) simple, often single step Reliability (within stock comparisons) reliable resolution of between year differences >5% (in absolute units) Units Accuracy Precision Documentation1 absolute abundance actual, very high infinite i.e.+ or zero% detailed SIL(s), SEN, field notes or diaries, published report on methods absolute abundance actual or assigned estimate and high actual estimate, high to moderate detailed SIL(s), SEN, field notes or diaries, published report on methods actual estimate, moderate detailed SIL(s), SEN, field notes or diaries, published report on methods examining bias and precision of applied factors in retrospect simple to complex multi-step, but always rigorous reliable resolution of between year differences >10% (in absolute units) simple multi-step index surveys, but rigorously calibrated to estimates of true abundance (Type-1 or Type-2) reliable resolution of between year differences >25% (in absolute units)) absolute abundance actual or assigned estimate and moderate simple to complex multi-step, but always rigorous reliable resolution of between year differences >25% (in absolute units) relative abundance linked to method assigned range and medium to high assigned estimate, medium to high detailed SIL(s), SEN, field notes or diaries, published report on methods simple analysis by known methods, not calibrated reliable resolution of between year differences >200% (in relative units) relative abundance linked to method unknown assumed fairly constant unknown assumed fairly constant complete SEN or equivalent with sufficient detail to verify both survey and analytical procedures unknown to poorly defined; inconsistent or poorly executed uncertain numeric comparisons, but high reliability for presence or absence relative abundance, but vague or no ID on assessment method unknown assumed highly variable unknown assumed highly variable incomplete SEN, only reliable to confirm estimate is from an actual survey Type-7, moderate to high any of above sufficient to medium to Presence or any of above not required reliability for (+) or (-) unknown confirm survey and high Absence presence or absence reliable species ID 1. SIL is Stream Inspection Log and SEN is Salmon Escapement Number. 2. Direct or indirect survey life here indicate whether direct observations/estimates are made in monitoring, or indirect extrapolation is used from other studies. GENERAL REFERENCES (methods for estimating spawning escapement) Atkinson, C. E. 1944. The problem of enumeration of spawning populations of sockeye salmon. Int. Pac. Salmon Fish. Comm. Annu. Rep. 1943: 37-44. Canada Department of Fisheries and Oceans, Pac. Reg., Field Serv. Br. 1986. Fishery officer's guide to consistency in the collection, recording, and use of sub-district salmon management data. CDFO Unpubl. manual: 22p. Canada Department of Fisheries and Oceans, Pac. Reg., Field Serv. Br. 1986. Corroboration exercises in field counting techniques for the enumeration of spawning salmon. CDFO Unpubl. manual: 50p. Fredd, L. C. 1966. Review and analysis of fish counts, counting techniques and related data at Corps of Engineers dams on the Columbia and Snake Rivers. U. S. Army Corps of Engineers, Fish. Eng. Res. Program Prog. Rep. 3: 91-95. Hillborn, R. 1983. Design of the B.C. salmon escapement monitoring system: notes from a workshop. Misc. Coop. Fish. Res. Unit Rep. 6: 25 p. Ricker, W. E. 1975. Computation and interpretation of biological statistics of fish populations. Bull. Fish. Res. Board. Can. 191: 382 p. Ricker, W. E. (Ed.). 1968. Methods for assessment of fish production in fresh waters. Int. Biol. Prog. Handbook 3: 313 p. Russell, L. R. 1975. An annotated bibliography on salmonid marking, enumeration and trapping techniques. B. C. Fish and Wildlife Branch Fish. Tech. Circ. 18: 194 p. Ref #: 1-75 Seber, G. A. F. 1982. The estimation of animal abundance and related parameters. Charles Griffin & Co. Ltd., London: xvii + 654 p. Smith, C. J. and P. Castle. 1994. Puget Sound chinook salmon (Oncorhynchus tshawytscha) escapement estimates and methods – 1991. NW Indian Fisheries Commission, Olympia, WA., NW Fishery Resource Bulletin Project Report Series 1: Straty, R. R. 1960. Methods of enumeration of salmon in Alaska. Trans. 25th N. Am. Wildl. Nat. Resour. Conf.: 286-297. Symons, P. E. K. and M. Waldichuk. 1984. Proceedings of the workshop on stream indexing for salmon escapement estimation, West Vancouver, B. C., 2-3 February 1984. Can. Tech. Rep. Fish. Aquat. Sci. 1326: 258 p. COMPARISON OF METHODS Andrew, J. H., G. D. Sutherland, and T. M. Webb. 1988. Abundance, age, size, sex and coded wire tag recoveries for chinook salmon escapements of Atnarko River, 1984-1986. Can. Manusc. Rep. Fish. Aquat. Sci. 2014: viii + 87 p. Beidler, W. M., T. E. Nickelson, and A. M. McGie. 1980. Escapement goals for coho salmon in coastal Oregon streams. Ore. DFW. R&D Inf. Rep. Ser., Fish. 80-10: 30 p. Bocking, R. C., J. R. Irvine, K. K. English, and M. Labelle. 1988. Evaluation of random and indexing sampling designs for estimating coho salmon (Oncorhynchus kisutch) escapement to three Vancouver Island streams. Can. Tech. Rep. Fish. Aquat. Sci. 1639: 95 p. Johnston, N. T., J. R. Irvine and J. C. Perrin. 1986. A comparative evaluation of fence count, mark-recapture and Bendix sonar estimates of salmon escapements in the Keogh River a variable-flow coastal B. C. stream. Can. Tech. Rep. Fish. Aquat. Sci. 1453: 44 p. Johnston, N. T., J. R. Irvine, and C. J. Perrin. 1987. Instream indexing of coho salmon (Oncorhynchus kisutch) escapement in French Creek, British Columbia. Can. Tech. Rep. Fish. Aquat. Sci. 1573: 37 p. McBride, D. and D. Mesiar. 1981. Nushagak sonar enumeration project, 1980. Alaska Dept. Fish Game Bristol Bay Data Rep. 83: 45 p. Namtvedt, T. B., N. V. Friese, D. L. Waltemyer, M. L. Bethe and D. C. Whitmore. 1977. Investigations of Cook Inlet sockeye salmon. Alaska Dep. Fish Game. Tech. Rep. for period July 1, 1975 to June 30, 1976: 75 p. Robson, D. S. and H. A. Regier. 1968. Estimation of population number and mortality rates. Pages 124-158, In: Ricker, W. E. (Ed.). 1968. Methods for assessment of fish production in fresh waters. Int. Biol. Prog. Hanbook 3: 313 p. Tschaplinski, P. J. and K. D. Hyatt. 1990. Abundance, migration timing, and biological characteristics of sockeye salmon (Oncorhynchus nerka) returning to Henderson Lake, Vancouver Island during 1988. Can. Tech. Rep. Fish. Aquat. Sci. 1758: iv + 82 p. Tschaplinski, P. J. and K. D. Hyatt. 1991. A comparison of population assessment methods employed to estimate the abundance of sockeye salmon (Oncorhynchus nerka) returning to Henderson Lake, Vancouver Island during 1989. Can. Tech. Rep. Fish. Aquat. Sci. 1798: 101 Zubik, R. J. and J. J. Fraley. 1988. Comparison of snorkel and mark-recapture estimates for trout populations in large streams. N. Am. J. Fish. Man. 8: 58-62.