This repository contains data and R code accompanying the poster "Uniting seagrass conservation and tourism in Mauritius".
Methods
Methods.pdf explains the methodological procedure required to produce the poster, addressing the development of each of Figures 1–3 individually. All publications referred to herein can be found in References.pdf.
R script
MSC.R contains all necessary R code to perform the combinatorial meta-analysis and plot Figures 1–3.
Data
locations.csv contains the coordiantes for areas of extraordinary seagrass damage or health around Mauritius. Together with map.qgz and several other shapefiles/geopackages (outlined in Methods.pdf), this file is required to plot Figure 1.
loss.csv contains data that are relevant to the combinatorial meta-analysis regarding the effect of seagrass loss on ecosystem functions. These data are necessary to plot Figure 2 (see Methods.pdf for details).
goods.csv contains economic data on the private and public costs/benefits of seagrass degradation/conservation underlying Figure 3 (see Methods.pdf for details).
tourists.csv contains data obtained from a Tripadvisor search (https://www.tripadvisor.co.uk/Search?q=seagrass&searchSessionId=32082531294ED0F1FC4D9BC4F8CADC561588599236524ssid&searchNearby=false&geo=293816&sid=C69FDCB111BCBCCEE97EC327697218251588599241765&blockRedirect=true). These data highlight tourists' mostly negative perception of seagrass and reveal the rationale behind seagrass meadow dredging.
References
References.pdf contains all publications that were cited on the poster, in Methods.pdf and in the data files along with an additional section with background reading that was required for the completion of the project.
Luka Seamus Wright