Age class structure

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Age class structures can be used to determine when wildfires occurred within a forest population. Wildfire in California.jpg
Age class structures can be used to determine when wildfires occurred within a forest population.

Age class structure in fisheries and wildlife management is a part of population assessment. Age class structures can be used to model many populations including trees and fish. This method can be used to predict the occurrence of forest fires within a forest population. [1] Age can be determined by counting growth rings in fish scales, otoliths, cross-sections of fin spines for species with thick spines such as triggerfish, [2] or teeth for a few species. [3] [4] Each method has its merits and drawbacks. Fish scales are easiest to obtain, but may be unreliable if scales have fallen off the fish and new ones grown in their places. [5] Fin spines may be unreliable for the same reason, and most fish do not have spines of sufficient thickness for clear rings to be visible. Otoliths will have stayed with the fish throughout its life history, [2] but obtaining them requires killing the fish. [6] Also, otoliths often require more preparation before ageing can occur. [5]

Contents

Analyzing fisheries age class structure

An example of using age class structure to learn about a population is a regular bell curve for the population of 1-5 year-old fish with a very low population for the 3-year-olds. An age class structure with gaps in population size like the one described earlier implies a bad spawning year 3 years ago in that species [7] [ citation needed ].

Often fish in younger age class structures have very low numbers because they were small enough to slip through the sampling nets, and may in fact have a very healthy population. [8]

See also

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The green jack, also known as the horse jack, is an abundant species of coastal marine fish in the jack family Carangidae. The species is distributed in the eastern Pacific Ocean along the American coastline from Santa Cruz Island off California in the north to Peru in the south, as well as a number of islands including the Galapagos and recently, Hawaii. The green jack is distinguished from other similar carangid species by a number of features including gill raker and lateral line scale counts, and the presence of an adipose eyelid. It is a moderately large species, growing to at least 55 cm in length and 2.81 kg, although unconfirmed reports suggest a much larger maximum size. It lives in a wide range of continental shelf environments including estuaries, bays, reefs and offshore seamounts, living both pelagically and demersally. The green jack is a predatory species, preying on a variety of fish, crustaceans and cephalopods, as well as zooplankton. Most fish are sexually mature by the time they attain 38 cm, with spawning occurring between May and October. The species is of high importance to fisheries throughout its range, caught by pelagic trawls, a variety of netting methods and hook and line. The green jack is also of interest to anglers, taken by bait and lures, although is considered to only be fair in eating quality.

<i>Caranx</i> Genus of fishes

Caranx is a genus of tropical to subtropical marine fishes in the jack family Carangidae, commonly known as jacks, trevallies and kingfishes. They are moderate- to large-sized, deep-bodied fishes which are distinguished from other carangid genera by specific gill raker, fin ray and dentition characteristics. The genus is represented in the Pacific, Indian and Atlantic Oceans, inhabiting both inshore and offshore regions, ranging from estuaries and bays to deep reefs and offshore islands. All species are powerful predators, taking a variety of fish, crustaceans and cephalopods, while they in turn are prey to larger pelagic fishes and sharks. A number of fish in the genus have a reputation as powerful gamefish and are highly sought by anglers. They often make up high amounts of the catch in various fisheries, but are generally considered poor to fair table fishes.

<span class="mw-page-title-main">Age determination in fish</span>

Knowledge of fish age characteristics is necessary for stock assessments, and to develop management or conservation plans. Size is generally associated with age; however, there are variations in size at any particular age for most fish species making it difficult to estimate one from the other with precision. Therefore, researchers interested in determining a fish age look for structures which increase incrementally with age. The most commonly used techniques involve counting natural growth rings on the scales, otoliths, vertebrae, fin spines, eye lenses, teeth, or bones of the jaw, pectoral girdle, and opercular series. Even reliable aging techniques may vary among species; often, several different bony structures are compared among a population in order to determine the most accurate method.

Otolith microchemical analysis is a technique used in fisheries management and fisheries biology to delineate stocks and characterize movements, and natal origin of fish. The concentrations of elements and isotopes in otoliths are compared to those in the water in which the fish inhabits in order to identify where it has been. In non-ostariophysian fishes, the largest of the three otoliths, or ear bones, the sagitta is analyzed by one of several methods to determine the concentrations of various trace elements and stable isotopes. In ostariophysian fishes, the lapilli is the largest otolith and may be more commonly analysed.

References

  1. Wagner, C. E. Van (1978-06-01). "Age-class distribution and the forest fire cycle". Canadian Journal of Forest Research. 8 (2): 220–227. doi:10.1139/x78-034. ISSN   0045-5067.
  2. 1 2 O’Sullivan, Sandra (2007). Fisheries Long Term Monitoring Program. Brisbane, Australia: Queensland Department of Primary Industries and Fisheries.
  3. Field, I.C., Meekan, M.G. & Bradshaw, C.J.A. (2009). Development of non-lethal methods for determining age and habitat use of sawfishes from northern Australia. Australia: Australian Department of the Environment and Energy.
  4. Helfman, Gene; Collette, Bruce B.; Facey, Douglas E.; Bowen, Brian W. (2009-04-09). The Diversity of Fishes - Biology, Evolution, Andecology 2E (PDF). Oxford: Wiley-Blackwell UK. ISBN   9781405124942.
  5. 1 2 "MANUAL OF FISHERIES SCIENCE Part 2 - Methods of Resource Investigation and their Application". www.fao.org. Retrieved 2018-03-24.
  6. Lux, Fred E. "Age Determination in Fishes". Washington, DC, United States: United States Bureau of Commercial Fisheries. Available at http://spo.nmfs.noaa.gov/Fishery%20Leaflets/leaflet488.pdf. Accessed 24/03/2018.
  7. "Importance of age structure in models of the response of upper trophic levels to fishing and climate change". ICES Journal of Marine Science. doi:10.1093/icesjms/fsr042.
  8. Haines, Terry A. (1990). Intensive Studies of Stream Fish Populations in Maine. Washington, D.C., USA: U.S. Environment Protection Agency, Office of Acid Deposition, Environmental Monitoring and Quality Assurance. p. 17.