4.7. Common tern

  1. Monthly estimates of collisions for the worst-case for common tern are presented in Table 4.23 for both the Developer and Scoping Approaches.
  2. The estimated number of collisions was highest during August, when the mean and max monthly densities of flying common terns were at their highest, with 0.45 birds/km2 (pooled SD ±0.13) and 0.69 birds/km2 (pooled SD ±0.18) respectively (Table 3.3 and Table 3.4).
  3. Combining the estimated monthly mortality across bio-seasons shows that the estimated number of collisions is highest during the breeding season (Table 4.24).
  4. The estimated number of collisions presented in Table 4.23 and Table 4.24 were used in population modelling reported in Technical Appendix 11.6: Ornithology Population Viability Analysis.
  5. Annual collision estimates for common terns for all turbine scenarios and avoidance rates using the Developer and Scoping Approaches are presented in Table 4.25 and Table 4.26 respectively.

 

Table 4.23:  Monthly estimated collisions for common tern in the Proposed Development Array for the worst-case scenario (SNCBs avoidance rates, turbine 14 MW, Option 2), based on the Developer and Scoping Approaches. Estimates are presented using the mean avoidance rate (0.980). 

 

Jan

Feb

Mar

Apr

May

Jun

Jul

Aug

Sep

Oct

Nov

Dec

Total

Developer Approach

Estimated number of collisions

0.00

0.00

0.00

0.10

0.06

0.00

0.75

4.85

0.30

0.00

0.00

0.00

6.05

Scoping Approach

Estimated number of collisions

0.00

0.00

0.00

0.21

0.11

0.00

0.81

7.43

0.59

0.00

0.00

0.00

9.15

 

Table 4.24:  Estimated number of collisions for common tern by season in the Proposed Development Array for the worst-case scenario (SNCBs avoidance rates, turbine 14 MW, Option 2).

 

Bio-season

Breeding

Non-breeding

Total

Developer Approach

Estimated collisions

5.80

0.25

6.05

Scoping Approach

Estimated collisions

8.65

0.50

9.15


Table 4.25:  Summary of estimated number of annual collisions for common tern from the Band model Options 2 and 3 using the Developer Approach and generic flight height data, for turbine Type A (wide chord and slow rotational speed) and B (narrow chord and fast rotational speed). Avoidance rates are from SNCBs (2014). Estimates equal or greater than 0.5 are rounded to the nearest whole.

 

SNCBs Guidance

Turbine Scenario

Avoidance rate - Basic

Avoidance rate - Extended

Option 2

Option 3

Type A

 

 

 

 

14MW

0.98

0.98

6*

1

15MW

0.98

0.98

5

1

18MW

0.98

0.98

6*

1

21MW

0.98

0.98

5

1

24MW

0.98

0.98

5

0.46

Type B

 

 

 

 

18MW

0.98

0.98

5

1

21MW

0.98

0.98

5

1

24MW

0.98

0.98

5

1

*The estimated collisions for 14MW and 18MW turbines type A are 6.05 and 5.89 per annum, respectively.

 

Table 4.26:  Summary of estimated number of annual collisions for common tern from the Band model Options 2 and 3 using the Scoping Approach and generic flight height data, for turbine Type A (wide chord and slow rotational speed) and B (narrow chord and fast rotational speed). Avoidance rates are from SNCBs (2014). Estimates are rounded to the nearest whole.

 

SNCBs Guidance

Turbine Scenario

Avoidance rate - Basic

Avoidance rate - Extended

Option 2

Option 3

Type A

 

 

 

 

14MW

0.98

0.98

9*

1

15MW

0.98

0.98

8

1

18MW

0.98

0.98

9*

1

21MW

0.98

0.98

8

1

24MW

0.98

0.98

8

1

Type B

 

 

 

 

18MW

0.98

0.98

8

1

21MW

0.98

0.98

7

1

24MW

0.98

0.98

7

1

*The estimated collisions for 14MW and 18MW turbines type A are 9.15 and 8.90 per annum, respectively.


4.8.        Little gull

4.8. Little gull

  1. Monthly estimates of collisions for the worst-case for little gull are presented in Table 4.27 for both the Developer and the Scoping Approaches.
  2. The estimated number of collisions was highest during August, when the densities of flying little gulls were at their highest, with 0.07 birds/km2 (pooled SD ± 0.04) and 0.12 birds/km2 (pooled SD ±0.05) respectively (Table 3.3 and Table 3.4).
  3. Combining the estimated mortality across bio-seasons, shows that the estimated number of collisions is highest during the non-breeding season. This is mainly explained as little gulls do not breed in the UK and their presence and, therefore collision risk, is mainly confined to the non-breeding season (Table 4.28).
  4. The estimated number of collisions presented in Table 4.27 and Table 4.28 were used in population modelling reported in Technical Appendix 11.6: Ornithology Population Viability Analysis.
  5. Annual collision estimates for little gulls for all turbine scenarios and avoidance rates using the Developer and Scoping Approaches are presented in Table 4.29 and Table 4.30 respectively.

 

Table 4.27:  Monthly estimated collisions for little gull in the Proposed Development Array for the worst-case scenario (SNCBs avoidance rates, turbine 14 MW, Option 2), based on the Developer and Scoping Approaches. Estimates are presented using the mean avoidance rate (0.980).

 

Jan

Feb

Mar

Apr

May

Jun

Jul

Aug

Sep

Oct

Nov

Dec

Total

Developer Approach

Estimated number of collisions

0.00

0.19

0.00

0.00

0.00

0.00

0.17

2.01

0.00

0.00

0.00

0.08

2.45

Scoping Approach

Estimated number of collisions

0.00

0.38

0.00

0.00

0.00

0.00

0.35

3.71

0.00

0.00

0.00

0.16

4.60

 

Table 4.28:  Estimated number of collisions for little gull by season in the Proposed Development Array for the worst-case scenario (SNCBs avoidance rates, turbine 14 MW, Option 2).

 

Bio-season

Summer months

Non-breeding

Total

Developer Approach

Estimated collisions

0.17

2.28

2.45

Scoping Approach

Estimated collisions

0.35

4.25

4.60


Table 4.29:  Summary of estimated number of annual collisions for little gull for the five wind turbine generator sizes from the Band model Options 2 and 3 using the Developer Approach and generic flight height data, for turbine Type A (wide chord and slow rotational speed) and B (narrow chord and fast rotational speed). Avoidance rates are from SNCBs (2014). Estimates equal or greater than 0.5 are rounded to the nearest whole.

 

SNCBs Guidance

Turbine Scenario

Avoidance rate - Basic

Avoidance rate - Extended

Option 2

Option 3

Type A

 

 

 

 

14MW

0.98

0.98

2*

0.40

15MW

0.98

0.98

2*

0.37

18MW

0.98

0.98

2*

0.31

21MW

0.98

0.98

2*

0.26

24MW

0.98

0.98

2*

0.22

Type B

 

 

 

 

18MW

0.98

0.98

2**

0.32

21MW

0.98

0.98

2**

0.28

24MW

0.98

0.98

2**

0.25

*The estimated collisions for 14 MW; 15 MW; 18 MW; 21 MW and 24 MW turbines type A are 2.45; 2.04; 2.38; 2.19 and 2.05 per annum, respectively.

**The estimated collisions for 18 MW; 21 MW and 24 MW turbines type B are 1.98; 1.86 and 1.77 per annum, respectively.

 

Table 4.30:  Summary of estimated number of annual collisions for little gull for the five wind turbine generator sizes from the Band model Options 2 and 3 using the Scoping Approach and generic flight height data, for turbine Type A (wide chord and slow rotational speed) and B (narrow chord and fast rotational speed). Avoidance rates are from SNCBs (2014). Estimates equal or greater than 0.5 are rounded to the nearest whole.

 

SNCBs Guidance

Turbine Scenario

Avoidance rate - Basic

Avoidance rate - Extended

Option 2

Option 3

Type A

 

 

 

 

14MW

0.98

0.98

5

1

15MW

0.98

0.98

4

1

18MW

0.98

0.98

4

1

21MW

0.98

0.98

4

0.48

24MW

0.98

0.98

4

0.41

Type B

 

 

 

 

18MW

0.98

0.98

2*

0.32

21MW

0.98

0.98

2*

0.28

24MW

0.98

0.98

2*

0.20

*The estimated collisions for 18MW; 21MW and 24MW turbines type B are 1.98; 1.86 and 1.77 per annum, respectively.

 

4.9.        Great skua