An Indirect Rapid Methods Approach to Assessment

Hoenig, John M.; Heisey, Dennis M.; Lawing, William D.; Schupp, Dennis H.

doi:10.1139/f87-334

Cited by 9 publications

(4 citation statements)

References 38 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The life history relationships were derived from regression analysis of walleye life history data reported in Beverton (1987). Natural mortality rates were estimated from longevity values using a relationship between mortality and longevity reported by Hoenig et al (1987).…”

Section: Predictability Of Interpopulation Differences In Life Histormentioning

confidence: 99%

A general, life history based model for regional management of fish stocks: the inland lake trout (Salvelinus namaycush) fisheries of Ontario

Shuter¹,

Jones²,

Korver³

et al. 1998

Can. J. Fish. Aquat. Sci.

171

214

View full text Add to dashboard Cite

Life history characteristics of 54 Ontario lake trout (Salvelinus namaycush) populations vary with differences in lake area (range 25-450 000 ha) and total dissolved solids (TDS) (range 15-180 mg·L-1). Populations from large lakes exhibit greater maximum sizes, greater ages and sizes at first maturity, lower natural mortality rates, and lower sustainable yields. Populations from high-TDS lakes exhibit higher growth rates in early life, lower ages at first maturity, larger sizes at first maturity, and higher natural mortality rates. Angler catchability increases significantly at low population densities. With these relationships included in an age-structured population model, we found that the fishing mortality rate at maximum equilibrium yield ranges from 0.12·year-1 for a 100-ha, low-TDS lake to 0.37·year-1 for a 10 000-ha, high-TDS lake; the fishing effort level at maximum equilibrium yield ranges from 6.6 angler-h·ha-1· year-1 for a 100-ha, low-TDS lake to 4.0 angler-h·ha-1·year-1 for a 10 000-ha, high-TDS lake. Populations from small, low-TDS lakes are more sensitive to overexploitation than populations from large, high-TDS lakes. Easily measured, environmental correlates of life history characters may be common among fish species and are useful in developing exploitation guidelines for populations that are not well studied.

show abstract

Section: Predictability Of Interpopulation Differences In Life Histormentioning

confidence: 99%

A general, life history based model for regional management of fish stocks: the inland lake trout (Salvelinus namaycush) fisheries of Ontario

Shuter¹,

Jones²,

Korver³

et al. 1998

Can. J. Fish. Aquat. Sci.

171

214

View full text Add to dashboard Cite

show abstract

“…Indirect estimation of population variables and life history parameters is a potential use for con-dition indices. Indirect assessment methods (Hoenig et al 1987) use routinely collected data to estimate data that would be more expensive to collect directly. Given satisfactory models of growth rate based on condition, inexpensive length and weight data might replace more expensive growth or age data.…”

mentioning

confidence: 99%

Evaluation of Condition Indices for Estimation of Growth of Largemouth Bass and White Crappie

Gutreuter

Childress

1990

North American Journal of Fisheries Management

View full text Add to dashboard Cite

We evaluated the ability of three condition indices-condition factor (FC), relative condition (K n \ and relative weight (W r )-to estimate annual growth rates of largemouth bass Micropterus salmoides and white crappies Pomoxis annularis collected during standardized autumn electrofishing and trap-net surveys of Texas reservoirs. Multiple-regression models for estimation of length increments from initial length (at the start of the growing season) and condition indices had R 2 values of 0.63-0.76 for largemouth bass and 0.46-0.83 for white crappie. However, these models are not useful for indirect estimation of growth rates because growth must be known (initial length equals length at capture minus estimated annual growth). Models based on length at capture and condition indices had R 2 values of 0.22-0.68 for largemouth bass and less than 0.45 for white crappie. The low precision of models based on length at capture indicates that condition provides a weak basis for indirect estimation of growth rates from Texas reservoirs sampled during autumn and, therefore, is unreliable for detection of size-related growth phenomena such as "stockpiling" (size specific, density-dependent growth depression). Direct estimates of growth rates based on back-calculations or tagging data seem necessary for reliable detection of size-related growth patterns for largemouth bass and white crappies from Texas reservoirs.

show abstract

“…For reference lakes, this was calculated for all possible years from 1995 to 2004 to obtain the maximum number of year-to-year changes. Observed changes in the study lakes were then compared to the percentiles of the reference distribution; changes at extreme ends, or outer quartiles (Hoenig et al 1987, Schupp 1992, of the reference distribution suggested a likely effect due to treatment.…”

Section: Methodsmentioning

confidence: 99%

Whole-lake Herbicide Treatments for Eurasian Watermilfoil in Four Wisconsin Lakes: Effects on Vegetation and Water Clarity

Wagner¹,

Hauxwell²,

Rasmussen³

et al. 2007

Lake and Reservoir Management

View full text Add to dashboard Cite

An Indirect Rapid Methods Approach to Assessment

Cited by 9 publications

References 38 publications

A general, life history based model for regional management of fish stocks: the inland lake trout (Salvelinus namaycush) fisheries of Ontario

A general, life history based model for regional management of fish stocks: the inland lake trout (Salvelinus namaycush) fisheries of Ontario

Evaluation of Condition Indices for Estimation of Growth of Largemouth Bass and White Crappie

Whole-lake Herbicide Treatments for Eurasian Watermilfoil in Four Wisconsin Lakes: Effects on Vegetation and Water Clarity

Contact Info

Product

Resources

About