Table 1 Data sources and sample sizes.

From: Predicting bee community responses to land-use changes: Effects of geographic and taxonomic biases

Reference

Country

Sampling years

Studies

Within-study sites

Bee taxa (% binomial)

Other taxa

mMLE

 

Afrotropic

 

3

39

77

2304

 

Basset et al.67 +†

Gabon

2001–2002

1

12

51 (19.61%)

1806

70

Gaigher & Samways68 +†

South Africa

2006

1

10

6 (0%)

383

nr

Grass et al.69 +†‡

South Africa

2011

1

17

21 (9.52%)

115

100

 

Australasia

 

8

200

135

497

 

Blanche et al.70 +†

Australia

2005

2

11

8 (89.36%)

17

nr

Cunningham et al.71 +†

Australia

2007–2008

1

24

69 (100%)

0

nr

Lentini et al.72 +†

Australia

2009–2010

1

104

36 (100%)

0

nr

Kessler et al.73 +†

Indonesia

2004–2005

1

15

9 (0%)

24

nr

Malone et al.74 †‡

New Zealand

2006–2007

1

2

9 (100%)

0

nr

Todd et al.75 +†

New Zealand

2007–2008

1

20

9 (100%)

442

27.3

Rader et al.21 +†

New Zealand

2008–2009

1

24

5 (100%)

20

nr

 

Indo-Malay

 

4

16

1

0

 

Liow et al.76 +†‡

Singapore, Malaysia

1999

4

16

1 (0%)

0

3000

 

Nearctic

 

16

399

242

117

 

Boutin et al.77 +†

Canada

2000

3

60

3 (0%)

116

nr

Richards et al.78 +†

Canada

2003

3

18

127 (95.04%)

0

nr

Hatfield & Lebuhn79

United States

2002–2003

1

120

13 (100%)

0

nr

McFrederick & LeBuhn80 †‡

United States

2003–2004

2

40

5 (100%)

0

nr

Shuler et al.81 +†

United States

2003

1

25

5 (60%)

0

nr

Winfree et al.82 +†

United States

2003

2

80

1 (0%)

0

nr

Kwaiser & Hendrix83 +

United States

2004

2

18

53 (97.22%)

1

nr

Julier & Roulston84 +†

United States

2006

1

20

3 (100%)

0

250

Tonietto et al.85 +†

United States

2006

1

18

67 (89.55%)

0

nr

 

Neotropic

 

16

286

436

775

 

Vázquez & Simberloff86 +

Argentina

1999, 2001

1

8

25 (52%)

104

nr

Quintero et al.87

Argentina

2000–2001

1

4

14 (35.71%)

38

1280

Schüepp et al.88 +†

Belize

2009–2010

1

15

43 (100%)

65

nr

Tonhasca et al.89 +†‡

Brazil

1997, 1999

1

9

21 (100%)

0

10

Barlow et al.90 +†

Brazil

2005

1

3

22 (75%)

0

3500

Smith-Pardo & Gonzalez91 +†

Colombia

1997

4

48

300 (46.2%)

0

nr

Parra-H & Nates-Parra92 +†

Colombia

2003

1

26

21 (100%)

0

nr

Poveda et al.93 +†

Colombia

2006–2007

2

34

4 (0%)

468

23

Tylianakis et al.94 +†

Ecuador

2003–2004

1

48

16 (0%)

16

71

Vergara & Badano64 +†

Mexico

2004

1

16

7 (71.43%)

8

nr

Fierro et al.95 †‡

Mexico

2009–2010

1

3

4 (100%)

0

346.41

Rousseau et al.96 +†

Nicaragua

2011

1

72

2 (100%)

81

30

 

Palearctic

 

64

2271

601

788

 

Verboven et al.97

Belgium

2009

1

9

6 (66.67%)

0

11.34

Billeter et al.98 +†, Diekötter et al.99 +† and Le Féon et al.100 +†

Belgium, Czech Republic, Estonia, France, Germany, Netherlands, Switzerland

2001–2002

14

873

276 (98.46%)

7

nr

Kruess & Tscharntke101 +

Germany

1996

2

34

17 (100%)

18

nr

Meyer et al.102 +†

Germany

2000, 2005

2

30

14 (75%)

8

34.51

Diekötter et al.103

Germany

2001

1

124

2 (100%)

0

353.55

Meyer et al.104,105 +†

Germany

2004

1

32

109 (100%)

75

nr

Herrmann et al.106 †‡

Germany

2005

2

26

1 (100%)

0

800

Holzschuh et al.107 +

Germany

2007

2

134

3 (33.33%)

1

100

Weiner et al.108 +

Germany

2007

1

29

59 (100%)

460

333

Nielsen et al.109 +†‡

Greece

2004

4

32

1 (0%)

0

nr

Power & Stout110 +†

Ireland

2009

1

20

9 (88.89%)

24

1200.24

Davis et al.111 †‡

Ireland, United Kingdom

2005, 2007, 2008, 2009

1

12

1 (100%)

0

nr

Quaranta et al.112 +†

Italy

2000

1

2

31 (100%)

0

200

Yoon et al.113

Korea, Republic of

2000–2012

1

215

6 (100%)

1

nr

Kohler et al.114 +†

Netherlands

2004–2005

4

19

26 (95.48%)

56

1500

Goulson et al.115

Poland

2006

1

32

22 (100%)

0

200

Mudri-Stojnic et al.116 +†‡

Serbia

2011

1

16

55 (100%)

8

nr

Öckinger & Smith117

Sweden

2004

1

36

11 (100%)

64

800

Franzén & Nilsson118 +†

Sweden

2005

1

16

83 (100%)

43

nr

Samnegård et al.119 +†

Sweden

2009

1

9

31 (100%)

0

90

Oertli et al.120 +†

Switzerland

2001–2002

1

7

237 (100%)

0

2000

Albrecht et al.121 +

Switzerland

2003–2004

2

202

75 (100%)

0

nr

Farwig et al.122 +†

Switzerland

2008

1

30

1 (0%)

0

nr

Schüepp et al.123 +†

Switzerland

2008

1

30

11 (72.73%)

69

0.2

Darvill et al.124

United Kingdom

2001

1

17

3 (66.67%)

0

100

Marshall et al.125 +†

United Kingdom

2003

2

84

25 (100%)

0

nr

Hanley (2005, unpublished data)

United Kingdom

2004–2005

1

6

11 (100%)

0

1000

Knight et al.126 †‡

United Kingdom

2004

1

12

1 (100%)

0

3.16

Connop et al.127 †‡

United Kingdom

2005

1

5

2 (100%)

0

nr

Goulson et al.128

United Kingdom

2007

1

14

2 (100%)

0

200.25

Hanley et al.129

United Kingdom

2007–2010

1

34

6 (100%)

0

200.04

Blake et al.130

United Kingdom

2008–2010

2

6

8 (75%)

2

90

Redpath et al.131

United Kingdom

2008

1

11

7 (85.71%)

0

nr

Bates et al.132 +†

United Kingdom

2009–2010

1

24

58 (100%)

50

56.6

Osgathorpe et al.133

United Kingdom

2009–2010

2

45

11 (90.91%)

1

nr

R. E. Fowler (PhD thesis, 2014)+†

United Kingdom

2011–2012

1

36

75 (100%)

0

nr

Hanley (unpublished data, 2011)+†

United Kingdom

2011

1

8

23 (82.61%)

110

nr

  1. mMLE = largest Maximum Linear Extent (in meters) of any site in the source. MLE is the maximum distance between sampling points within a site, e.g. the length of a transect or the distance between pan traps. nr = not reported. Numbers of taxa are the numbers of unique taxa for which diversity measurements are given (so, if diversity measurements are available only for all bees combined, this would count as one taxon). The percentage of bee species with a known binomial name is also given (% binomial). Note that the figures here represent available data as curated by the PREDICTS team; these will not necessarily match figures in the original papers. +Data were used in the presented analysis. Data will be incorporated into the PREDICTS database (which will be made openly available). Data are available from the referenced paper. For all other datasets, please contact the corresponding author of that paper directly.