Revealing spatial pattern dynamics in aquatic ecosystem modelling with Multi-Agent Systems in Lake Veluwe
Aquatic ecosystems are among the most complex due to the highly nonlinearity, randomness, as well as interactive multi-processes in multi-scales. Besides, highly limited understanding and very limited measurement data make the modelling of such kind of systems a very challenging task, which needs to...
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ftknawnlpublic:oai:pure.knaw.nl:publications/ab635d80-a168-45df-9617-e803b646f26b 2024-05-12T08:02:23+00:00 Revealing spatial pattern dynamics in aquatic ecosystem modelling with Multi-Agent Systems in Lake Veluwe Li, H. Mynett, A. Penning, E. Qi, H. 2010 https://pure.knaw.nl/portal/en/publications/ab635d80-a168-45df-9617-e803b646f26b https://doi.org/10.1016/j.ecoinf.2009.08.003 https://hdl.handle.net/20.500.11755/ab635d80-a168-45df-9617-e803b646f26b eng eng https://pure.knaw.nl/portal/en/publications/ab635d80-a168-45df-9617-e803b646f26b info:eu-repo/semantics/closedAccess Li , H , Mynett , A , Penning , E & Qi , H 2010 , ' Revealing spatial pattern dynamics in aquatic ecosystem modelling with Multi-Agent Systems in Lake Veluwe ' , Ecological Informatics , vol. 5 , no. 2 , pp. 97-107 . https://doi.org/10.1016/j.ecoinf.2009.08.003 article 2010 ftknawnlpublic https://doi.org/10.1016/j.ecoinf.2009.08.00320.500.11755/ab635d80-a168-45df-9617-e803b646f26b 2024-04-17T23:55:29Z Aquatic ecosystems are among the most complex due to the highly nonlinearity, randomness, as well as interactive multi-processes in multi-scales. Besides, highly limited understanding and very limited measurement data make the modelling of such kind of systems a very challenging task, which needs to combine domain knowledge, available data and other models. The concept of Multi-Agent Systems (MAS) in modelling spatial population dynamics of aquatic plant growth is explored in this research due to the capability of MAS in utilizing various information and data, reflecting both the interactions among different entities and entity's own properties. Expert biological knowledge, GIS maps and environmental conditions are used as input information and data in the development of MAS model. Several different aspects are included: plant agents, environmental backgrounds, and animal influences. Environmental background factors include flow pattern, light visibility, water temperature, water depth and wind, which are all abiotic factors. Plant agents represent different plant species; the ones in this research are Potamogeton pectinatus (Pp) and Chara aspera (Cs), while animals here refer to water birds. Based on biological knowledge and data supplied for Lake Veluwe, the MAS modelling rules were developed. Through these MAS rules, agents are linked to environmental and biological processes. The resulting spatial pattern dynamics indicates that a multi-agent approach can exhibit complex behaviour even when the individual strategies of each agent are simple. The test case for Lake Veluwe showed quite good agreement compared to the GIS maps available and the biological knowledge presented. Multi-Agent Systems show a promising approach to modelling spatial population dynamics for aquatic plants. Aquatic ecosystems are among the most complex due to the highly nonlinearity, randomness, as well as interactive multi-processes in multi-scales. Besides, highly limited understanding and very limited measurement data make the ... Article in Journal/Newspaper Chara aspera KNAW: Research Explorer (Royal Netherlands Academy of Arts and Sciences) Ecological Informatics 5 2 97 107 |
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Open Polar |
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KNAW: Research Explorer (Royal Netherlands Academy of Arts and Sciences) |
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ftknawnlpublic |
language |
English |
description |
Aquatic ecosystems are among the most complex due to the highly nonlinearity, randomness, as well as interactive multi-processes in multi-scales. Besides, highly limited understanding and very limited measurement data make the modelling of such kind of systems a very challenging task, which needs to combine domain knowledge, available data and other models. The concept of Multi-Agent Systems (MAS) in modelling spatial population dynamics of aquatic plant growth is explored in this research due to the capability of MAS in utilizing various information and data, reflecting both the interactions among different entities and entity's own properties. Expert biological knowledge, GIS maps and environmental conditions are used as input information and data in the development of MAS model. Several different aspects are included: plant agents, environmental backgrounds, and animal influences. Environmental background factors include flow pattern, light visibility, water temperature, water depth and wind, which are all abiotic factors. Plant agents represent different plant species; the ones in this research are Potamogeton pectinatus (Pp) and Chara aspera (Cs), while animals here refer to water birds. Based on biological knowledge and data supplied for Lake Veluwe, the MAS modelling rules were developed. Through these MAS rules, agents are linked to environmental and biological processes. The resulting spatial pattern dynamics indicates that a multi-agent approach can exhibit complex behaviour even when the individual strategies of each agent are simple. The test case for Lake Veluwe showed quite good agreement compared to the GIS maps available and the biological knowledge presented. Multi-Agent Systems show a promising approach to modelling spatial population dynamics for aquatic plants. Aquatic ecosystems are among the most complex due to the highly nonlinearity, randomness, as well as interactive multi-processes in multi-scales. Besides, highly limited understanding and very limited measurement data make the ... |
format |
Article in Journal/Newspaper |
author |
Li, H. Mynett, A. Penning, E. Qi, H. |
spellingShingle |
Li, H. Mynett, A. Penning, E. Qi, H. Revealing spatial pattern dynamics in aquatic ecosystem modelling with Multi-Agent Systems in Lake Veluwe |
author_facet |
Li, H. Mynett, A. Penning, E. Qi, H. |
author_sort |
Li, H. |
title |
Revealing spatial pattern dynamics in aquatic ecosystem modelling with Multi-Agent Systems in Lake Veluwe |
title_short |
Revealing spatial pattern dynamics in aquatic ecosystem modelling with Multi-Agent Systems in Lake Veluwe |
title_full |
Revealing spatial pattern dynamics in aquatic ecosystem modelling with Multi-Agent Systems in Lake Veluwe |
title_fullStr |
Revealing spatial pattern dynamics in aquatic ecosystem modelling with Multi-Agent Systems in Lake Veluwe |
title_full_unstemmed |
Revealing spatial pattern dynamics in aquatic ecosystem modelling with Multi-Agent Systems in Lake Veluwe |
title_sort |
revealing spatial pattern dynamics in aquatic ecosystem modelling with multi-agent systems in lake veluwe |
publishDate |
2010 |
url |
https://pure.knaw.nl/portal/en/publications/ab635d80-a168-45df-9617-e803b646f26b https://doi.org/10.1016/j.ecoinf.2009.08.003 https://hdl.handle.net/20.500.11755/ab635d80-a168-45df-9617-e803b646f26b |
genre |
Chara aspera |
genre_facet |
Chara aspera |
op_source |
Li , H , Mynett , A , Penning , E & Qi , H 2010 , ' Revealing spatial pattern dynamics in aquatic ecosystem modelling with Multi-Agent Systems in Lake Veluwe ' , Ecological Informatics , vol. 5 , no. 2 , pp. 97-107 . https://doi.org/10.1016/j.ecoinf.2009.08.003 |
op_relation |
https://pure.knaw.nl/portal/en/publications/ab635d80-a168-45df-9617-e803b646f26b |
op_rights |
info:eu-repo/semantics/closedAccess |
op_doi |
https://doi.org/10.1016/j.ecoinf.2009.08.00320.500.11755/ab635d80-a168-45df-9617-e803b646f26b |
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Ecological Informatics |
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