Data

Spatiotemporal variations in seagrass flowering: Can spatial models of seagrass flowering benefit for seagrass restoration?

Central Queensland University
Manuja Lekammudiyanse (Aggregated by)
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ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2FANDS&rft_id=info:doi10.25946/25771362.v1&rft.title=Spatiotemporal variations in seagrass flowering: Can spatial models of seagrass flowering benefit for seagrass restoration?&rft.identifier=10.25946/25771362.v1&rft.publisher=Central Queensland University&rft.description=The study aims to understand the drivers of Zostera muelleri (a common seagrass in Australasia) flowering and develop predictive models for spatiotemporal variations of flowering in intertidal meadows with the same climatic region and across physio-graphically heterogenous seascapes in Australia. This information is then used to provide guidelines for seagrass seed nursery designs.&rft.creator=Manuja Lekammudiyanse&rft.date=2024&rft_rights= https://creativecommons.org/licenses/by/4.0/&rft_subject=Ecosystem function&rft_subject=Other environmental sciences not elsewhere classified&rft_subject=seagrass&rft_subject=flowering&rft_subject=restoration&rft_subject=environmental drivers&rft.type=dataset&rft.language=English Access the data
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The study aims to understand the drivers of Zostera muelleri (a common seagrass in Australasia) flowering and develop predictive models for spatiotemporal variations of flowering in intertidal meadows with the same climatic region and across physio-graphically heterogenous seascapes in Australia. This information is then used to provide guidelines for seagrass seed nursery designs.

Data time period: 2019-08-05 to 2023-04-13

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Subjects
Ecosystem function | Other environmental sciences not elsewhere classified | environmental drivers | flowering | restoration | seagrass |

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Identifiers
ACN 633 798 857