Predicting the resilience and recovery of aquatic systems: A framework for model evolution within environmental observatories
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Automated Water Quality Survey and Evaluation Using an IoT Platform with Mobile Sensor NodesAssessing the impacts of temperature and storage on Escherichia coli, Salmonella, and L. monocytogenes decay in dairy manure.Exploring, exploiting and evolving diversity of aquatic ecosystem models: a community perspectiveTime scale interactions and the coevolution of humans and waterAnalysis of data characterizing tide and current fluxes in coastal basinsUsing the General Lake Model (GLM) to simulate water temperatures and ice cover of a medium-sized lake: a case study of Lake Ammersee, Germany
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Predicting the resilience and recovery of aquatic systems: A framework for model evolution within environmental observatories
description
article
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im September 2015 veröffentlichter wissenschaftlicher Artikel
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wetenschappelijk artikel
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наукова стаття, опублікована у вересні 2015
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name
Predicting the resilience and ...... in environmental observatories
@en
Predicting the resilience and ...... in environmental observatories
@nl
type
label
Predicting the resilience and ...... in environmental observatories
@en
Predicting the resilience and ...... in environmental observatories
@nl
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Predicting the resilience and ...... in environmental observatories
@en
Predicting the resilience and ...... in environmental observatories
@nl
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P2860
P356
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Predicting the resilience and ...... in environmental observatories
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P2093
Bas W. Ibelings
Cayelan C. Carey
Fiona J. Valesini
Janaine Z. Coletti
Jordan S. Read
Justin D. Brookes
Paul C. Hanson
P2860
P304
P356
10.1002/2015WR017175
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2015-09-01T00:00:00Z
P819
2015WRR....51.7023H