eprintid: 10108044
rev_number: 17
eprint_status: archive
userid: 608
dir: disk0/10/10/80/44
datestamp: 2020-08-20 12:25:54
lastmod: 2021-11-01 01:49:21
status_changed: 2020-08-20 12:25:54
type: article
metadata_visibility: show
creators_name: Hulme-Beaman, A
creators_name: Rudzinski, A
creators_name: Cooper, JEJ
creators_name: Lachlan, RF
creators_name: Dobney, K
creators_name: Thomas, MG
title: GEOORIGINS: A new method and r package for trait mapping and geographic provenancing of specimens without categorical constraints
ispublished: inpress
divisions: UCL
divisions: B02
divisions: C08
divisions: D09
divisions: F99
keywords: Biogeography, identification, morphology, phylogeography, provenancing, spatial, mapping, trait, mapping
note: © 2020 The Authors. Methods in Ecology and Evolution published by John Wiley & Sons Ltd on behalf of British Ecological Society

This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
abstract: 1. Biologists often seek to geographically provenance organisms using their traits.
This is typically achieved by defining spatial groups using distinct patterns of trait
variation.
2. Here, we present a new spatial provenancing and trait boundary identification
methodology, based on correlations between geographic and trait distances that
require no a priori group assumptions. We apply this to three datasets where
spatial provenance is sought: morphological rat and vole dentition data (human
commensal translocation datasets); and birdsong data (cultural transmission dataset). We also present the results of cross-validation testing.
3. Spatial provenancing is possible with differing degrees of accuracy for each
dataset, with birdsong providing the most accurate geographic origin (identifying an average spatial region of 0.22 km2
 as the area of origin with 99.9%
confidence).
4. Our method has a wide range of potential applications to diverse data types—
including phenotypic, genetic and cultural—to identify trait boundaries and
spatially provenance the origin of unknown or translocated specimens where
trait differences are geographically structured and correlated with spatial
separation.
date: 2020-08-09
date_type: published
official_url: https://doi.org/10.1111/2041-210X.13444
oa_status: green
full_text_type: pub
language: eng
primo: open
primo_central: open_green
verified: verified_manual
elements_id: 1808149
doi: 10.1111/2041-210X.13444
lyricists_name: Thomas, Mark
lyricists_id: MTHOM52
actors_name: Flynn, Bernadette
actors_id: BFFLY94
actors_role: owner
full_text_status: public
publication: Methods in Ecology and Evolution
citation:        Hulme-Beaman, A;    Rudzinski, A;    Cooper, JEJ;    Lachlan, RF;    Dobney, K;    Thomas, MG;      (2020)    GEOORIGINS: A new method and r package for trait mapping and geographic provenancing of specimens without categorical constraints.                   Methods in Ecology and Evolution        10.1111/2041-210X.13444 <https://doi.org/10.1111/2041-210X.13444>.    (In press).    Green open access   
 
document_url: https://discovery.ucl.ac.uk/id/eprint/10108044/1/2041-210X.13444.pdf