Data

Seagrass experts' and managers' vulnerability scores

James Cook University
Losciale, Riccardo
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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:doi10.25903/84E2-V630&rft.title=Seagrass experts' and managers' vulnerability scores&rft.identifier=10.25903/84E2-V630&rft.publisher=James Cook University&rft.description=Data and R script related to the third (MPhil) thesis chapter: 'The Vulnerability of World Heritage seagrass habitats to climate change' The data were collected through 2 quantitative surveys targeting seagrass experts and site managers of WH properties. Data includes opinions on exposure and sensitivity  of seagrass in 6 bioregions to 19 stressors, cumulative impact type and level of adaptive capacity.  Software/equipment used to create/collect the data: Data were collected through 2 online surveys with the software Survey Monkey (Advantage Plan) Software/equipment used to manipulate/analyse the data: Data were analysed with R and RStudio Version:RStudio 2021.09.2+382 Ghost Orchid Release (fc9e217980ee9320126e33cdf334d4f4e105dc4f, 2022-01-04) for WindowsMozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) QtWebEngine/5.12.8 Chrome/69.0.3497.128 Safari/537.36&rft.creator=Losciale, Riccardo &rft.date=2022&rft.coverage=&rft_rights=&rft_rights=CC BY 4.0: Attribution 4.0 International http://creativecommons.org/licenses/by/4.0&rft_subject=vulnerability&rft_subject=climate change&rft_subject=seagrass&rft_subject=heritage&rft.type=dataset&rft.language=English Access the data
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CC BY 4.0: Attribution 4.0 International
http://creativecommons.org/licenses/by/4.0

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Data and R script related to the third (MPhil) thesis chapter: 'The Vulnerability of World Heritage seagrass habitats to climate change'

The data were collected through 2 quantitative surveys targeting seagrass experts and site managers of WH properties. Data includes opinions on exposure and sensitivity  of seagrass in 6 bioregions to 19 stressors, cumulative impact type and level of adaptive capacity. 

Software/equipment used to create/collect the data: Data were collected through 2 online surveys with the software Survey Monkey (Advantage Plan)

Software/equipment used to manipulate/analyse the data: Data were analysed with R and RStudio 
Version:
RStudio 2021.09.2+382 "Ghost Orchid" Release (fc9e217980ee9320126e33cdf334d4f4e105dc4f, 2022-01-04) for Windows
Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) QtWebEngine/5.12.8 Chrome/69.0.3497.128 Safari/537.36

Created: 2022-08-24

Data time period: 03 2021 to 31 07 2021

This dataset is part of a larger collection

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Subjects
climate change | heritage | seagrass | vulnerability |

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Identifiers
  • Local : https://research.jcu.edu.au/data/published/3dd7b2a0f82411ec91f7d39bc702b355
  • DOI : 10.25903/84E2-V630
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