RMAVIS v1.0: a Shiny application for the analysis of vegetation survey data and assignment to GB NVC communities

Marshall, Zeke ORCID: https://orcid.org/0000-0001-9260-7827; Smart, Simon Mark ORCID: https://orcid.org/0000-0003-2750-7832; Harrower, Colin ORCID: https://orcid.org/0000-0001-5070-5293; Marrs, Rob. 2024 RMAVIS v1.0: a Shiny application for the analysis of vegetation survey data and assignment to GB NVC communities. Journal of Open Source Software, 9 (100), 6682. 8, pp. 10.21105/joss.06682

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Abstract/Summary

RMAVIS is a Shiny application for the assignment of vegetation sample plot data to British National Vegetation Classification (NVC) communities (Rodwell, 1991, 1992a, 1992b, 1995, 2000). The assignment of vegetation sample plot data to established vegetation classification units using computational methods is a well established and recognised practice (Maciejewski et al., 2020). The results of this assignment process are used in various ways, including assisting in the phase 2 habitat survey (or NVC survey) process (Rodwell, 2006); establishing an ecological baseline and identifying important ecological features such as protected habitats (CIEEM, 2022); and in ecological restoration by providing a proxy for historical reference ecosystems to target and against which to measure restoration progress (Gann et al., 2019; Pywell et al., 2002; Sturbois et al., 2023). In Great Britain (GB) the development of computational methods and programs for the assignment of vegetation survey data to NVC communities began with the development of TABLEFIT (Hill, 1989; Marrs, 2019) and was followed by MATCH (Malloch, 1998). The most recent program, the Modular Analysis of Vegetation Information System (MAVIS), was developed as a windows application in 2000 and was a DEFRA-funded output of the ECOFACT project (Bunce et al., 1999), with the latest version released in 2016 (Smart et al., 2016).

Item Type:	Publication - Article
Digital Object Identifier (DOI):	10.21105/joss.06682
UKCEH and CEH Sections/Science Areas:	Biodiversity (Science Area 2017-24) Soils and Land Use (Science Area 2017-24)
ISSN:	2475-9066
Additional Information:	Open Access paper - full text available via Official URL link.
Additional Keywords:	vegetation science, NVC, ecology, survey
NORA Subject Terms:	Agriculture and Soil Science Computer Science
Date made live:	22 Aug 2024 09:15 +0 (UTC)
URI:	https://nora.nerc.ac.uk/id/eprint/537897

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