Data

Global spatial dataset of mangrove genus distribution in seaward and riverine margins

The University of Queensland
Dr Alice Twomey (Aggregated by) Dr Alice Twomey (Aggregated by) Professor Catherine Lovelock (Aggregated by) Professor Catherine Lovelock (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:doi10.1594/PANGAEA.942481&rft.title=Global spatial dataset of mangrove genus distribution in seaward and riverine margins&rft.identifier=10.1594/PANGAEA.942481&rft.publisher=The University of Queensland&rft.description=Mangroves are nature-based solutions for coastal protection however their ability to attenuate waves and stabilise and accrete sediment varies with their species-specific frontal area. Hydrodynamic models are typically used to predict and assess the protection afforded by mangroves, modelling them via a drag coefficient or as rigid cylinders on increasingly larger spatial scales. However, the results can significantly differ from reality without information of the distribution of mangrove species and/or genera. Data identifying the spatial distribution of the frontal species and/or genera of mangroves exposed to waves and tides can provide information that can be used in hydrodynamic models to more accurately forecast the protection benefit provided by mangroves. Globally, frontal species/genera were identified from existing mangrove zonation diagrams and assigned to each of the Marine Ecoregions of the World (MEOW) to create the first global map of the distribution of frontal mangrove species/genera. This dataset aims to improve the accuracy of hydrodynamic models predicting the coastal protection provided by mangroves. Data may be of interest to researchers in coastal engineering, marine science, wetland ecology and blue carbon.&rft.creator=Dr Alice Twomey&rft.creator=Dr Alice Twomey&rft.creator=Professor Catherine Lovelock&rft.creator=Professor Catherine Lovelock&rft.date=2023&rft_rights= https://guides.library.uq.edu.au/deposit-your-data/license-reuse-data-agreement&rft_subject=eng&rft_subject=Marine and Estuarine Ecology (incl. Marine Ichthyology)&rft_subject=BIOLOGICAL SCIENCES&rft_subject=ECOLOGY&rft_subject=ENVIRONMENTAL ENGINEERING&rft_subject=ENGINEERING&rft.type=dataset&rft.language=English Access the data
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Mangroves are nature-based solutions for coastal protection however their ability to attenuate waves and stabilise and accrete sediment varies with their species-specific frontal area. Hydrodynamic models are typically used to predict and assess the protection afforded by mangroves, modelling them via a drag coefficient or as rigid cylinders on increasingly larger spatial scales. However, the results can significantly differ from reality without information of the distribution of mangrove species and/or genera. Data identifying the spatial distribution of the frontal species and/or genera of mangroves exposed to waves and tides can provide information that can be used in hydrodynamic models to more accurately forecast the protection benefit provided by mangroves. Globally, frontal species/genera were identified from existing mangrove zonation diagrams and assigned to each of the Marine Ecoregions of the World (MEOW) to create the first global map of the distribution of frontal mangrove species/genera. This dataset aims to improve the accuracy of hydrodynamic models predicting the coastal protection provided by mangroves. Data may be of interest to researchers in coastal engineering, marine science, wetland ecology and blue carbon.

Issued: 2023

Data time period: 04 01 2021 to 24 02 2021

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Subjects
Biological Sciences | Ecology | Engineering | Environmental Engineering | Marine and Estuarine Ecology (Incl. Marine Ichthyology) | eng |

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Global spatial dataset of mangrove genus distribution in seaward and riverine margins

local : UQ:e13b01c

Twomey, Alice and Lovelock, Catherine (2024). Global spatial dataset of mangrove genus distribution in seaward and riverine margins. Scientific Data, 11 (1) 306, 306. doi: 10.1038/s41597-024-03134-1

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local : UQ:289097

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