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Table 1 Abbreviations, geographical position, country of origin and MOTU of the 67 Radix locations sampled, number of individuals scored for COI, ITS-1 sequence variation and shell shape and whether data on the habitat structure for the site was available.

From: Comparing the efficacy of morphologic and DNA-based taxonomy in the freshwater gastropod genus Radix (Basommatophora, Pulmonata)

Abbreviation Location Latitude Longitude Country NCOI NITS-1 Nmorph Habitat data MOTU
OUM Umea 63.845 20.259 Schweden 4   6   2
FLE Flensburg 54.699 9.505 Germany 1   7 X 2
EGG Eggebek 54.614 9.372 Germany 1   -   2
BUC Groβ Buchwald 54.172 10.073 Germany 1   -   2
KBW Kühlungsborn 54.149 11.725 Germany 3   12 X 2
RIE Riedensee 54.149 11.689 Germany 2   24 X 2
BDO Bad Doberan 54.075 11.936 Germany 2   32 X 2
LES Lesno 53.945 17.718 Poland 1   8 X 6
MIS Mistorf 53.884 12.175 Germany 3   4 X 2
TRE Tressower See 53.851 11.323 Germany 4   4 X 4
KOS Kosewo 53.834 21.382 Poland 1   3 X 1
DYW Dywity 53.818 20.477 Poland 2   5 X 1
KLU Klusy 53.803 22.120 Poland 2   7 X 1
JEG River Jegrznia 53.730 22.706 Poland 1   -   6
RAJ Lake Rajgrodzkie 53.730 22.619 Poland 1   7 X 1
ROG Roggeliner See 53.729 10.940 Germany 3   5 X 2
CZA Czarne 53.682 16.925 Poland 2   -   2
DRA Lake Drawsko 53.567 16.22 Poland 1   3 X 4
CZE Czechowizna 53.333 22.886 Poland 1   7   1
KIE Kierzkow 52.996 14.811 Poland 1   -   4
OSN1 Osno, River Lenka 52.454 14.871 Poland 3   4 X 1
BIA Bialobrzegi 51.650 20.962 Poland 2   3 X 6
SOM Sömmerda 51.236 10.977 Germany 3   -   2
SUL Sülze 51.087 11.625 Germany 3   49 X 2
SUC Suchedniow 51.072 20.846 Poland 2   8 X 1
OUR Oberurff 51.036 9.161 Germany 3   24 X 4
MMA Maarfelder Maar 50.101 6.758 Germany 5   -   4
STR Steinrodsee 49.992 8.6 Germany 2   14 X 4
GGK Groβ Gerau 49.935 8.479 Germany 3   9 X 2
SMH Stuttgart-Mühlhausen 48.838 9.229 Germany 1   8 X 5
GLO1 Glomel 48.225 -3.404 France 1   8   4
GLO2 Glomel 48.225 -3.404 France 3   14   2
REE Rennes 48.106 -1.705 France 3   17   4
BOD1 Bodensee 47.709 9.051 Germany 7   -   1
BOD2 Bodensee 47.667 9.213 Germany 11   -   2
BOD3 Bodensee 47.667 9.213 Germany 4   -   4
EST Estavayer-le-Lac 46.856 6.840 Switzerland 5   20 X 2
BIH Bihar 46.747 22.210 Romania 1   -   4
ROS Barrage des Rossens 46.720 7.109 Switzerland 6   24 X 2
AUG Les Auges 46.615 7.181 Switzerland 6 6 25 X 2
GVD1 Grandvillard 46.555 7.072 Switzerland 4 1 120 X 2
GVD2 Grandvillard 46.554 7.074 Switzerland 3 2 -   2
LYS Les Lys 46.502 6.989 Switzerland 3 2 13 X 5
MBV Montbovon 46.492 7.047 Switzerland 3   11 X 2
MUR Muraszemenye 46.478 16.609 Hungary 1   -   1
HON Lac de Hongrin 46.419 7.072 Switzerland 3 3 30 X 5
VIL Villeneuve 46.399 6.890 Switzerland 6 6 19 X 1
REN Rennaz 46.385 6.895 Switzerland 2 2 27 X 2
ROC Les Roches 46.364 6.938 Switzerland 2   24 X 2
RET Lac de Retaud 46.363 7.194 Switzerland 5 5 42 X 5
VEG River Vegre 46.150 -0.226 France 3   3 X 2
LAV Laval 45.830 4.804 France 4   38   2
HER1 Herbasse 45.117 4.974 France 2   18   2
HER2 Herbasse 45.117 4.974 France 2   18   4
CAZ Cazevielle 43.769 3.798 France 2   16   2
STL St. Laurent de la Cabrierisse 43.070 2.720 France 2   32 X 3
ARG Argeles sur Mer 42.564 2.902 France 3   2   3
RLL Rwan Lxjuka à Ljuka 42.541 18.374 Croatia 3   55   5
DEL Delvinë 39.947 20.091 Albania 1   3   4