An application of Bayesian Belief Networks to assess management scenarios for aquaculture in a complex tropical lake system in Indonesia

Autor: Iwan Ridwansyah, Alistair McVittie, Arianto Budi Santoso, Tri Suryono, Ivana Yuniarti, Sulung Nomosatryo, Klaus Glenk, Endra Triwisesa
Přispěvatelé: Bryhn, A.
Rok vydání: 2021
Předmět:
0106 biological sciences
Atmospheric Science
Marine and Aquatic Sciences
Wind
010501 environmental sciences
01 natural sciences
Ecosystem services
Aquaculture
Epilimnion
Data Management
Sedimentary Geology
Multidisciplinary
Environmental resource management
Eukaryota
Geology
Phosphorus
Eutrophication
Freshwater Fish
Chemistry
Vertebrates
Physical Sciences
Medicine
Research Article
Freshwater Environments
Environmental Monitoring
Tilapia
Computer and Information Sciences
Science
Fisheries
Biological Data Management
Phosphates
Meteorology
Animals
Ecosystem
Petrology
0105 earth and related environmental sciences
business.industry
010604 marine biology & hydrobiology
Ecology and Environmental Sciences
Organisms
Chemical Compounds
Aquatic Environments
Biology and Life Sciences
Computational Biology
Bodies of Water
Lakes
Fish
Indonesia
Agriculture
Sustainable management
Earth Sciences
Environmental science
Sediment
Fish kill
business
Zoology
Zdroj: Plos One
PLoS ONE, Vol 16, Iss 4, p e0250365 (2021)
PLoS ONE
ISSN: 1932-6203
DOI: 10.1371/journal.pone.0250365
Popis: A Bayesian Belief Network, validated using past observational data, is applied to conceptualize the ecological response of Lake Maninjau, a tropical lake ecosystem in Indonesia, to tilapia cage farms operating on the lake and to quantify its impacts to assist decision making. The model captures ecosystem services trade-offs between cage farming and native fish loss. It is used to appraise options for lake management related to the minimization of the impacts of the cage farms. The constructed model overcomes difficulties with limited data availability to illustrate the complex physical and biogeochemical interactions contributing to triggering mass fish kills due to upwelling and the loss in the production of native fish related to the operation of cage farming. The model highlights existing information gaps in the research related to the management of the farms in the study area, which is applicable to other tropical lakes in general. Model results suggest that internal phosphorous loading (IPL) should be recognized as one of the primary targets of the deep eutrophic tropical lake restoration efforts. Theoretical and practical contributions of the model and model expansions are discussed. Short- and longer-term actions to contribute to a more sustainable management are recommended and include epilimnion aeration and sediment capping.
Databáze: OpenAIRE
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