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Henrys, P.A.; Butler, A.; Jarvis, S.G.; Smart, S.M.; Fang, Z.

MultiMOVE Model: Ensemble niche modelling of British vegetation v2.0.1
(MultiMOVE Version 2.0.1)
(MultiMOVE: A Package of niche models for British vegetation v.2.0.1)

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https://doi.org/10.5285/94ae1a5a-2a28-4315-8d4b-35ae964fc3b9
This is the most recent version of this model code (view other versions)
MultiMOVE is an R package that contains fitted niche models for almost 1500 plant species in Great Britain. This package allows the user to access these models, which have been fitted using multiple statistical techniques, to make predictions of species occurrence from specified environmental data. It also allows plotting of relationships between species' occurrence and individual covariates so the user can see what effect each environmental variable has on the specific species in question. The package is built under R 3.1.2 and depends on R packages 'leaps', 'earth', 'fields', 'mgcv', 'stringr', 'gsubfn', 'randomForest' and 'nnet'.
Publication date: 2015-05-13
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More information

View numbers valid from 01 June 2023 Download numbers valid from 20 June 2024 (information prior to this was not collected)

Format

R Script

Spatial information

Study area
Spatial reference system
OSGB 1936 / British National Grid

Provenance & quality

Modelling methods used: Generalised Additive Models (GAMs) (Hastie and Tibshirani, 1990) Generalised Linear Models (GLMs) (McCullagh and Nelder, 1989) Random Forests (RF) (Liaw and Wiener, 2002) Multiple Adaptive Regression Splines (MARS) (Friedman, 1991). Neural Networks (NNet) (Venables and Ripley, 2002) Data sources used in the models: National Vegetation Classification (Rodwell 1991 et seq). Data collected at 4-250 m2 using targeted homogenous stands to census full range of plant community variation across Britain. Sampled from 1950-1980. The Key Habitats surveys of Britain (Hornung 1996). Data collected at 4m2 using random sampling within a random selection of 1-km squares stratified by three landscape GIS masks for upland, calcareous grassland and lowland heathland ecosystems. Sampled in 1992. Broadleaved woodland survey of Britain (Kirby et al. 2005; Corney et al. 2006). Data collected at 200 m2 using 16 plots located at random within each of 103 representative sites in Britain. Sampled in 1971. Countryside Survey of Great Britain (Smart et al. 2003). Data collected at 4-200 m2 using randomly located plots within a random selection of 569 1-km squares across Britain stratified by ITE Land Class. Data collected in 1998/1999.

Licensing and constraints

This model code is made available under the terms of the Open Government Licence

Cite this model code as:
Henrys, P.A.; Butler, A.; Jarvis, S.G.; Smart, S.M.; Fang, Z. (2015). MultiMOVE Model: Ensemble niche modelling of British vegetation v2.0.1. NERC Environmental Information Data Centre. https://doi.org/10.5285/94ae1a5a-2a28-4315-8d4b-35ae964fc3b9

© UK Centre for Ecology & Hydrology

Citations

Wood, C.M., Smart, S.M., & Bunce, R.G.H.(2015). Woodland Survey of Great Britain 1971-2001. Earth System Science Data, 7(2), 203-214. https://doi.org/10.5194/essd-7-203-2015
ADAS (2019). Habitat suitability modelling: scoping study. The Welsh Government. https://www.gov.wales/habitat-suitability-modelling-scoping-study

Correspondence/contact details

Dr. Pete Henrys
UK Centre for Ecology & Hydrology
Lancaster Environment Centre, Library Avenue, Bailrigg
Lancaster
Lancashire
LA1 4AP
UK
 enquiries@ceh.ac.uk

Authors

Henrys, P.A.
Centre for Ecology & Hydrology
Butler, A.
Biomathematics & Statistics Scotland (BIOSS)
Jarvis, S.G.
Centre for Ecology & Hydrology
Smart, S.M.
Centre for Ecology & Hydrology
Fang, Z.
Biomathematics & Statistics Scotland (BIOSS)

Other contacts

Rights holder
UK Centre for Ecology & Hydrology
Custodian
NERC EDS Environmental Information Data Centre
 info@eidc.ac.uk
Publisher
NERC Environmental Information Data Centre
 info@eidc.ac.uk

Additional metadata

Topic categories
biota
environment
Keywords
ecology , Great Britain , Modelling , Vegetation science
Last updated
12 September 2024 10:38