Empirical and dynamical models to predict the cover, biomass and production of macrophytes in lakes

Håkanson, Lars; Boulion, V. V.

doi:10.1016/s0304-3800(01)00458-6

Cited by 32 publications

(17 citation statements)

References 8 publications

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“…Distribution models focus mainly on analyzing plant occurrence probability, maximum colonizing depth and cover rate (Chambers and Kalff, 1985;Håkanson and Boulion, 2002;Scheffer et al, 1992), but neglect plant quantity. On the other hand, biomass models, including growth simulation and holistic empirical ones, are developed for quantitative purpose.…”

Section: Background and Purposementioning

confidence: 99%

“…In practice, empirical models have the advantage of using fewer parameters. A number of empirical models were established and have successfully predicted submersed macrophyte biomass or production (Canfield and Duarte, 1985;Kalff, 1986, 1990;Håkanson and Boulion, 2002;Janse et al, 1998;Squires et al, 2002). Among them, the comprehensive research on North Temperate lakes by Håkanson and Boulion (2002) was the most impressive.…”

Section: Background and Purposementioning

confidence: 99%

“…A number of empirical models were established and have successfully predicted submersed macrophyte biomass or production (Canfield and Duarte, 1985;Kalff, 1986, 1990;Håkanson and Boulion, 2002;Janse et al, 1998;Squires et al, 2002). Among them, the comprehensive research on North Temperate lakes by Håkanson and Boulion (2002) was the most impressive. They used several parameters including ratio of Secchi depth to water depth, latitude, maximum water depth, and lake area above 1 m to predict submersed macrophyte production and achieved great success (r 2 = 0.68, slope = 1.5, intercept = −23.8).…”

Section: Background and Purposementioning

confidence: 99%

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Empirical modelling of submersed macrophytes in Yangtze lakes

Wang

Liang

et al. 2005

Ecological Modelling

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Section: Background and Purposementioning

confidence: 99%

Section: Background and Purposementioning

confidence: 99%

Section: Background and Purposementioning

confidence: 99%

See 1 more Smart Citation

Empirical modelling of submersed macrophytes in Yangtze lakes

Wang

Liang

et al. 2005

Ecological Modelling

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“…A full description of sampling designs and methods of estimating biomass for each group can be found in Colvin et al (2010) and in Appendix S1. Macrophyte areal cover was monitored by Iowa Department of Natural Resources (IADNR) and macrophyte biomass was estimated using a predictive relationship developed by Hakanson and Boulion (2002) relating macrophyte coverage to biomass. Biomass values were all assigned a data pedigree of 1 for all years, except macrophytes which were assigned a value of 0.4.…”

Section: Biomass (B)mentioning

confidence: 99%

A food web modeling analysis of a Midwestern, USA eutrophic lake dominated by non-native Common Carp and Zebra Mussels

Colvin

Pierce

Stewart

2015

Ecological Modelling

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Food web modeling is recognized as fundamental to understanding the complexities of aquatic systems.Ecopath is the most common mass-balance model used to represent food webs and quantify trophic inter-actions among groups. We constructed annual Ecopath models for four consecutive years during the firsthalf-decade of a zebra mussel invasion in shallow, eutrophic Clear Lake, Iowa, USA, to evaluate changesin relative biomass and total system consumption among food web groups, evaluate food web impactsof nonnative common carp and zebra mussels on food web groups, and to interpret food web impactsin light of ongoing lake restoration. Total living biomass increased each year of the study; the majorityof the increase due to a doubling in planktonic blue green algae, but several other taxa also increasedincluding a more than twoorder of magnitude increase in zebra mussels. Common carp accounted for thelargest percentage of total fish biomass throughout the study even with on-going harvest. Chironomids,common carp, and zebra mussels were the top-three ranking consumer groups. Non-native commoncarp and zebra mussels accounted for an average of 42% of the total system consumption. Despite the rel-atively high biomass densities of common carp and zebra mussel, food web impacts was minimal due toexcessive benthic and primary production in this eutrophic system. Consumption occurring via benthicpathways dominated system consumption in Clear Lake throughout our study, supporting the argumentthat benthic food webs are significant in shallow, eutrophic lake ecosystems and must be considered ifecosystem-level understanding is to be obtained. Keywords: Ecopath Zebra mussels Dreissena polymorpha Common carp Cyprinus carpio Non-native Trophic interactions Lake restoration a b s t r a c t Food web modeling is recognized as fundamental to understanding the complexities of aquatic systems. Ecopath is the most common mass-balance model used to represent food webs and quantify trophic interactions among groups. We constructed annual Ecopath models for four consecutive years during the first half-decade of a zebra mussel invasion in shallow, eutrophic Clear Lake, Iowa, USA, to evaluate changes in relative biomass and total system consumption among food web groups, evaluate food web impacts of non-native common carp and zebra mussels on food web groups, and to interpret food web impacts in light of on-going lake restoration. Total living biomass increased each year of the study; the majority of the increase due to a doubling in planktonic blue green algae, but several other taxa also increased including a more than two-order of magnitude increase in zebra mussels. Common carp accounted for the largest percentage of total fish biomass throughout the study even with on-going harvest. Chironomids, common carp, and zebra mussels were the top-three ranking consumer groups. Non-native common carp and zebra mussels accounted for an average of 42% of the total system consumption. Despite the relatively high biomass densities of common carp...

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“…According to the equation from Håkanson and Boulion (2002), r r 2 = 1-0.66 CV 2 (where, CV is the coefficient of variation of y-variable), the theoretically highest Table 4 Maximal yield models of Chinese mitten crab (n = 18, p b 0.001) Table 3 Stepwise multiple regression analyses using the data in Table 1 y-variable = CY, n = 18…”

Section: Maximal Yield Modelsmentioning

confidence: 99%