A predictive model of long-term stability after biomanipulation of shallowlakes

Citation
M. Sagehashi et al., A predictive model of long-term stability after biomanipulation of shallowlakes, WATER RES, 34(16), 2000, pp. 4014-4028
Citations number
49
Language
INGLESE
art.tipo
Article
Categorie Soggetti
Environment/Ecology
Journal title
WATER RESEARCH
ISSN journal
0043-1354 → ACNP
Volume
34
Issue
16
Year of publication
2000
Pages
4014 - 4028
Database
ISI
SICI code
0043-1354(200011)34:16<4014:APMOLS>2.0.ZU;2-H
Abstract
The eutrophication of lakes causes serious problems, such as water-bloom co nsisting of the harmful blue-green algae. To prevent an unusual degree of g rowth of phytoplankton, various restoration methods have been tried. "Bioma nipulation": which uses zooplankton to prey on the phytoplankton, is a prom ising method because it can, In principle, create a desirable ecosystem. Ho wever, there are many equivocal points in the long-term stability of a newl y developed ecosystem after biomanipulations. The fate prediction of a wate r ecosystem using a lake mathematical model is thus essential for implement ing biomanipulations. There remain, however, many uncertain points in the d ynamic parameters of the lake models, especially the parameters concerned w ith zooplankton and fish. In this study, we established a lake mathematical model based on the carbon, nitrogen and phosphorus flows among the biotic and abiotic substances in a water ecosystem. In this model, two types of ph ytoplankton (non blue-green algae and blue-green algae), three types of zoo plankton (rotatoria. cladocera and copepoda), planktivorous fish (crucian c arp), detritus and dissolved matters were considered. The dynamic parameter s were estimated with a set membership estimation algorithm using random sc anning based on mesocosm experiments, which can provide more rigid data tha n actual lake observations can. The model calculations showed good agreemen t with the observation data for both the non-filamentous blue-green algae d ominant case and the filamentous blue-green algae dominant case. Using this model, we calculated the long-term stability of the effects of biomanipula tions in a hypothetical lake. The calculation results clarified the blue-gr een algal species specificity in the longterm effects of biomanipulations. In the non-filamentous blue-green algal dominant case, the Long-term stable suppression of algal growth was predicted under a certain threshold fish b iomass, while in the filamentous blue-green algal dominant case, the suppre ssion was not sustainable even in a no-fish-coexisting series. Model simula tion is very important to the design of biomanipulations, and the model pro posed in this study is suitable for this purpose. (C) 2000 Elsevier Science Ltd. All rights reserved.