Life history and secondary production ofHexagenia bilineata(Say) in an embayment of Kentucky Lake

2014 ◽  
Vol 99 (3) ◽  
pp. 244-254
Author(s):  
James B. Ramsey ◽  
Hwaseong Jin ◽  
David S. White
Keyword(s):  
Life History ◽  
Secondary Production ◽  
Kentucky Lake

Hyporheic secondary production and life history of a common Ozark stonefly

Hydrobiologia ◽  
2019 ◽  
Vol 847 (2) ◽  
pp. 443-456 ◽  
Author(s):  
Nathan C. Dorff ◽  
Debra S. Finn
Keyword(s):  
Life History ◽  
Secondary Production ◽  
History Of

Life history and secondary production ofEphemera orientalis(Ephemeroptera: Ephemeridae) from the Han River in Seoul, Korea

2009 ◽  
Vol 31 (sup1) ◽  
pp. 333-341 ◽  
Author(s):  
Jeong Mi Hwang ◽  
Tae Joong Yoon ◽  
Sung Jin Lee ◽  
Yeon Jae Bae
Keyword(s):  
Life History ◽  
Secondary Production ◽  
Han River

scholarly journals FPOM Feeding Mayflies (Ephemeroptera: Insecta) from South India: Life History and Secondary Production

Ecologia ◽  
2016 ◽  
Vol 7 (1) ◽  
pp. 12-19
Author(s):  
Chellapandian Balachandr ◽  
Sankarappan Anbalagan ◽  
Sundaram Dinakaran
Keyword(s):  
Life History ◽  
Secondary Production ◽  
South India

Zooplankton Productivity

2017 ◽  
Author(s):  
Andrew G. Hirst
Keyword(s):  
Life History ◽  
Life Cycle ◽  
Body Size ◽  
Secondary Production ◽  
Vital Rates ◽  
Production Rates ◽  
Ecological Traits

Zooplankton is a term used to describe the heterotrophic plankton, including both metazoans (multicellular animals) and single-celled protozoa such as ciliates and flagellates. Zooplankton encompass a great diversity of phyla, with an array of life history and ecological traits. Their body size spans over more than 15 orders of magnitude, and include species with a life cycle of less than a day to many years. This chapter describes the productivity of zooplankton. It first discusses the importance of determining life history and vital rates of zooplankton. It then examines the major ways in which growth and secondary production rates are determined. Finally, it explores mechanistic and empirical frameworks to predict what controls these rates and why.

Sampling Variability and Life History Features: Basic Considerations in the Design of Aquatic Insect Studies

1979 ◽  
Vol 36 (3) ◽  
pp. 290-311 ◽  
Author(s):  
Vincent H. Resh
Keyword(s):  
Life History ◽  
Sample Size ◽  
Secondary Production ◽  
Substrate Surface ◽  
Sequential Sampling ◽  
Aquatic Insect ◽  
Community Diversity ◽  
Sampling Device ◽  
Sampling Variability ◽  
The Mean

Sampling variability in benthic studies may result from sampling device operation, physical features of the environment, laboratory sorting procedures, and biological features of study populations. Selected factors and procedures that influence variability, samplers affected, and proposed remedies are presented. Consequences of not considering autecological components in sampling designs are illustrated by analysis of larval counts of Cheumatopsyche pettiti (Banks), a multiple cohort caddisfly with an aggregated population. The range of mean numbers of C. pettiti was great with low sample numbers. Aggregation is more reliably measured at low sample numbers with the Index of Dispersion and the Mean Crowding Index than with the dispersion parameter k, the calculation of which from the maximum-likelihood equation, is integrally related to sample size. Nonrandom patterns of C. pettiti observed from samples collected in an Indiana, USA, stream riffle, may result from a failure to consider hyporheic distributions, spatial influences (e.g. sampling both favored and nonfavored microhabitats), instar-specific differences, and behavioral features. Variability in secondary production estimates of an aggregated population of Ceraclea ancylus (Vorhies) from a Kentucky, USA, stream indicated similar relationships to sample size.The size of the mean, the degree of aggregation, and the desired precision of the mean estimate will influence the number of samples required to estimate densities of benthic populations. Sample size requirements calculated from data reported in previous studies were high to achieve accepted levels of precision. Habitat stratification may reduce the numbers of samples required. Dicosmoecus gilvipes (Hagen) exhibited nonaggregated patterns and required fewer samples to estimate density in uniform substrate areas of a California, USA, river pool than did aggregated populations in both mixed substrate areas and the entire pool. Ceraclea ancylus required fewer samples for density estimates in stratified (by habitat or substrate type) than unstratified habitats, the fewest samples being necessary when the individual stone was the sampling unit. Judicious choice of study populations may permit larger numbers of samples to be collected and processed with reduced cost, as an alternative to stratification. Larvae of C. ancylus and D. gilvipes could be separated in the field; density underestimation due to a hyporheic population component was eliminated because of surface dwelling behavior or by choice of study sites; and compounded spatial distributions due to co-occurring instar-specific patterns were absent because the populations have a single cohort.Larger numbers of samples may be necessary than are generally taken in benthic studies. Further research is needed to assess variability in secondary production estimates and community diversity analyses. Improved methods for substrate surface area estimation and increased use of experimental approaches and sequential sampling techniques should be considered in future benthic sampling designs. Key words: sampling, benthos, aquatic, macroinvertebrate, Trichoptera, insect, experimental design, autecology, life history, variability

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