Data

Data derived state probabilities for Z. noltei monitoring study. Observed variables were shoot density at four sites in this study

Queensland University of Technology
Distinguished Professor Kerrie Mengersen (Associated with) Dr Paul Wu (Associated with)
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CC0 1.0 Universal (CC0 1.0) Public Domain Dedication
http://creativecommons.org/licenses/by/4.0/

© Queensland University of Technology, 2022.

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Contact Information

Postal Address:
Paula Hatum

paula.sobenkohatum@hdr.qut.edu.au

Full description

Data-derived state probabilities for the seagrass monitoring study (Cognat et al., 2018) were used to validate the DBN model for Zostera noltei in Arcachon Bay. Shoot density was observed at four sites in this study.

Data time period: 0001 to 0001

This dataset is part of a larger collection

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-1.32309,44.84898 -0.92072,44.84898 -0.92072,44.55615 -1.32309,44.55615 -1.32309,44.84898

-1.121902,44.7025615

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Identifiers
  • Local : 10378.3/8085/1018.17440