SedBudget

SedBudget

SedBudget is an online resource and methodology designed to support research into the production of biogenically-derived sediments that are produced in coral reef habitats. The method employs field-based census methodologies to generate estimates of both sediment composition and sediment grain-size production as a function of the abundance and productivity of the major sediment generating taxa at a reef site. SedBudget can be used on a standalone basis to provide field data to inform sediment transport and shoreline modelling studies or integrated with the aligned ReefBudget methodology to support assessments of both reef framework and sediment generation at a site.

About SedBudget

This site provides details of the SedBudget methodology and links to the relevant Excel data entry spreadsheets required to calculate rates of sediment production and of resultant sediment constituent and grain-size data. The spreadsheets are either pre-set with relevant regional metrics on the erosion rates that drive sediment generation e.g., from urchins or parrotfish, or can be populated with locally collected or published metrics that underpin other producer groups.  Compilations of currently available supporting data are provided in tabs on the main data entry spreadsheet. This initial version of SedBudget only covers use in Indian Ocean sites but adapted versions for use in other regions are currently being developed, and will appear on this site once complete.

Development of the methodology has been supported through awards from the Bertarelli Programme in Marine Science, the Leverhulme Trust, and the Natural Environment Research Council.

Acknowledgement

Please acknowledge SedBudget in any publications resulting from the use of this methodology as follows:

Indian Ocean method

Perry CT, Lange ID, Stuhr M and de Bakker DM (2022) SedBudget: Indian Ocean field data collection protocol (Version 1; Jan 2023). Retrieved from http://geography.exeter.ac.uk/sedbudget/

Contact

For further details about SedBudget or to contribute/notify us of additional available datasets please contact Chris Perry (E-mail: c.perry@exeter.ac.uk) or Ines Lange (E-mail: i.lange@exeter.ac.uk)