2011
Morris, Mark W. L.; Hondzo, Miki; Power, Mary E.
Scaling Glossosoma (Trichoptera) density by abiotic variables in mountain streams Journal Article
In: Journal of the North American Benthological Society, vol. 30, no. 2, pp. 493-506, 2011.
Abstract | Links | BibTeX | Tags: dimensional analysis, Froude number, Glossosoma, grazer, habitat., relative roughness
@article{Morris2011,
title = {Scaling Glossosoma (Trichoptera) density by abiotic variables in mountain streams},
author = {Mark W. L. Morris and Miki Hondzo and Mary E. Power},
url = {https://angelo.berkeley.edu/?attachment_id=2759},
doi = {10.1899/10-068.1},
year = {2011},
date = {2011-03-29},
journal = {Journal of the North American Benthological Society},
volume = {30},
number = {2},
pages = {493-506},
abstract = {The stream-dwelling larvae of the caddisfly Glossosoma spp. are dominant grazers in lotic food
webs and are capable of suppressing stream periphyton. We explored a method for developing a scaling
relationship between macroinvertebrate density and local hydraulic variables. As an example of this
method, we quantified habitat for larval stone-cased caddisflies, Glossosoma califica and Glossosoma penitum, in 3 coastal mountain streams in northern California over 2 y. We applied dimensional analysis to develop a functional relationship from a power law based on dimensionless local hydraulic and larval density variables that was applicable to areas where Glossosoma are present. Glossosoma densities were negatively correlated with streambed relative roughness and positively correlated with the ratio of inertial togravitational forces in the stream. The proposed functional relationship described 41% of the variance in the spatial distribution of glossosomatid larvae. This expression could predict how density and constraints on effects of these important grazers would change under variable hydraulic conditions. Variogram analysis of Glossosoma spatial density and relative roughness revealed overlap in the variogram range, the separation distance above which point measurements were statistically independent. The analysis resulted in an average variogram range of 0.39 m for Glossosoma density and 0.26 m for roughness height. Abiotic variables are increasingly available from laser altimetry, so even where field sampling is limited the proposed scaling relationship facilitates prediction of larval biomass over a range of scales in lotic ecosystems.},
keywords = {dimensional analysis, Froude number, Glossosoma, grazer, habitat., relative roughness},
pubstate = {published},
tppubtype = {article}
}
The stream-dwelling larvae of the caddisfly Glossosoma spp. are dominant grazers in lotic food
webs and are capable of suppressing stream periphyton. We explored a method for developing a scaling
relationship between macroinvertebrate density and local hydraulic variables. As an example of this
method, we quantified habitat for larval stone-cased caddisflies, Glossosoma califica and Glossosoma penitum, in 3 coastal mountain streams in northern California over 2 y. We applied dimensional analysis to develop a functional relationship from a power law based on dimensionless local hydraulic and larval density variables that was applicable to areas where Glossosoma are present. Glossosoma densities were negatively correlated with streambed relative roughness and positively correlated with the ratio of inertial togravitational forces in the stream. The proposed functional relationship described 41% of the variance in the spatial distribution of glossosomatid larvae. This expression could predict how density and constraints on effects of these important grazers would change under variable hydraulic conditions. Variogram analysis of Glossosoma spatial density and relative roughness revealed overlap in the variogram range, the separation distance above which point measurements were statistically independent. The analysis resulted in an average variogram range of 0.39 m for Glossosoma density and 0.26 m for roughness height. Abiotic variables are increasingly available from laser altimetry, so even where field sampling is limited the proposed scaling relationship facilitates prediction of larval biomass over a range of scales in lotic ecosystems.
webs and are capable of suppressing stream periphyton. We explored a method for developing a scaling
relationship between macroinvertebrate density and local hydraulic variables. As an example of this
method, we quantified habitat for larval stone-cased caddisflies, Glossosoma califica and Glossosoma penitum, in 3 coastal mountain streams in northern California over 2 y. We applied dimensional analysis to develop a functional relationship from a power law based on dimensionless local hydraulic and larval density variables that was applicable to areas where Glossosoma are present. Glossosoma densities were negatively correlated with streambed relative roughness and positively correlated with the ratio of inertial togravitational forces in the stream. The proposed functional relationship described 41% of the variance in the spatial distribution of glossosomatid larvae. This expression could predict how density and constraints on effects of these important grazers would change under variable hydraulic conditions. Variogram analysis of Glossosoma spatial density and relative roughness revealed overlap in the variogram range, the separation distance above which point measurements were statistically independent. The analysis resulted in an average variogram range of 0.39 m for Glossosoma density and 0.26 m for roughness height. Abiotic variables are increasingly available from laser altimetry, so even where field sampling is limited the proposed scaling relationship facilitates prediction of larval biomass over a range of scales in lotic ecosystems.
2007
Barnes, E. A.; Power, M. E.; Foufoula-Georgiou, E.; Hondzo, M.; Dietrich, W. E.
Upscaling river biomass using dimensional analysis and hydrogeomorphic scaling Journal Article
In: Geophysical Research Letters, vol. 34, no. 24, 2007.
Abstract | Links | BibTeX | Tags: biomass, dimensional analysis, multi-resolution
@article{Barnes2007,
title = {Upscaling river biomass using dimensional analysis and hydrogeomorphic scaling},
author = {E. A. Barnes and M. E. Power and E. Foufoula-Georgiou and M. Hondzo and W. E. Dietrich},
url = {https://angelo.berkeley.edu/wp-content/uploads/sites/59/Barnes_2007_GeophyResLet.pdf},
doi = {10.1029/2007GL031931},
year = {2007},
date = {2007-12-11},
journal = {Geophysical Research Letters},
volume = {34},
number = {24},
abstract = {We propose a methodology for upscaling biomass in a river using a combination of dimensional analysis and hydro-geomorphologic scaling laws. We first demonstrate the use of dimensional analysis for determining local scaling relationships between Nostoc biomass and hydrologic and geomorphic variables. We then combine these relationships with hydraulic geometry and streamflow scaling in order to upscale biomass from point to reach-averaged quantities. The methodology is demonstrated through an illustrative example using an 18 year dataset of seasonal monitoring of biomass of a stream cyanobacterium (Nostoc parmeloides) in a northern California river.},
keywords = {biomass, dimensional analysis, multi-resolution},
pubstate = {published},
tppubtype = {article}
}
We propose a methodology for upscaling biomass in a river using a combination of dimensional analysis and hydro-geomorphologic scaling laws. We first demonstrate the use of dimensional analysis for determining local scaling relationships between Nostoc biomass and hydrologic and geomorphic variables. We then combine these relationships with hydraulic geometry and streamflow scaling in order to upscale biomass from point to reach-averaged quantities. The methodology is demonstrated through an illustrative example using an 18 year dataset of seasonal monitoring of biomass of a stream cyanobacterium (Nostoc parmeloides) in a northern California river.