| Literature DB >> 21829544 |
Simone Panigada1, Giancarlo Lauriano, Louise Burt, Nino Pierantonio, Greg Donovan.
Abstract
Systematic long-term monitoring of abundance is essential to inform conservation measures and evaluate their effectiveness. To instigate such work in the Pelagos Sanctuary in the Mediterranean, two aerial surveys were conducted in winter and summer 2009. A total of 467 (131 in winter, 336 in summer) sightings of 7 species was made. Sample sizes were sufficient to estimate abundance of fin whales in summer (148; 95% CI = 87-254) and striped dolphins in winter (19,462; 95% CI = 12 939-29 273) and in summer (38 488; 95% CI = 27 447-53 968). Numbers of animals within the Sanctuary are significantly higher in summer, when human activities and thus potential population level impacts are highest. Comparisons with data from past shipboard surveys suggest an appreciable decrease in fin whales within the Sanctuary area and an appreciable increase in striped dolphins. Aerial surveys proved to be more efficient than ship surveys, allowing more robust estimates, with smaller CIs and CVs. These results provide essential baseline data for this marine protected area and continued regular surveys will allow the effectiveness of the MPA in terms of cetacean conservation to be evaluated and inform future management measures. The collected data may also be crucial in assessing whether ship strikes, one of the main causes of death for fin whales in the Mediterranean, are affecting the Mediterranean population.Entities:
Mesh:
Year: 2011 PMID: 21829544 PMCID: PMC3146501 DOI: 10.1371/journal.pone.0022878
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
Figure 1Map of the study area.
The study area has been subdivided into three strata; the Pelagos Sanctuary borders and the 2000 m isobath are shown.
Figure 2Striped dolphins' winter (A) and summer (B) detection functions.
Figure 3Fin whales' summer detection function.
Total sightings data by season and stratum.
| Area | Species | Sightings | Group size | ||||
| groups | individuals | mean | range | SD | |||
| Winter 2009 | Stratum A (30 907 km2) | Striped dolphin | 31 | 227 | 7.32 | 1–39 | 6.13 |
| k = 34 | Bottlenose dolphin | 6 | 18 | 3 | 1–6 | 1.788 | |
| L = 2932.6 km | Cuvier's beaked whale | 1 | 1 | - | - | - | |
| Stratum B (23 208 km2) | Striped dolphin | 34 | 234 | 6.88 | 1–27 | 4.86 | |
| k = 20 | |||||||
| L = 2273.5 km | Sperm whale | 1 | 1 | - | - | - | |
| Stratum C (34 153 km2) | Striped dolphin | 49 | 447 | 9.12 | 1–57 | 7.08 | |
| k = 22 | Bottlenose dolphin | 1 | 1 | - | - | - | |
| L = 2938.3 km | Fin whale | 1 | 1 | - | - | - | |
| Total | Striped dolphin | 114 | 908 | 7.96 | 1–57 | 6.44 | |
| Area = 88 267 km2 | Bottlenose dolphin | 7 | 19 | 2.71 | 1–6 | 5.8 | |
| K = 76 | Cuvier's beaked whale | 1 | 1 | - | - | - | |
| L = 8144.4 km | Fin whale | 1 | 1 | - | - | - | |
| Sperm whale | 1 | 1 | - | - | - | ||
| Summer 2009 | Stratum A (30 907 km2) | Striped dolphin | 45 | 672 | 14.93 | 1–170 | 32.35 |
| k = 34 | Bottlenose dolphin | 5 | 22 | 4.4 | 1–8 | 3.05 | |
| L = 3033.3 km | Fin whale | 3 | 3 | 1 | - | 0 | |
| Risso's dolphin | 3 | 32 | 10.67 | 5–19 | 7.37 | ||
| Cuvier's beaked whale | 2 | 5 | 2.5 | 2–3 | 0.71 | ||
| Stratum B (23 208 km2) | Striped dolphin | 58 | 990 | 17.07 | 1–150 | 28.33 | |
| k = 20 | Fin whale | 14 | 16 | 1.14 | 1–3 | 0.53 | |
| L = 2264.7 km | Sperm whale | 5 | 6 | 1.2 | 1–2 | 0.45 | |
| Bottlenose dolphin | 3 | 5 | 1.67 | 1–2 | 0.58 | ||
| Stratum C (34 153 km2) | Striped dolphin | 171 | 2099 | 12.27 | 1–120 | 18.35 | |
| k = 25 | Fin whale | 7 | 7 | 1 | - | 0 | |
| L = 3148.8 km | Long-finned pilot whale | 5 | 49 | 9.8 | 6–14 | 3.03 | |
| Cuvier's beaked whale | 2 | 5 | 2.5 | 2–3 | 0.71 | ||
| Risso's dolphin | 1 | 2 | - | - | - | ||
| Total | Striped dolphin | 274 | 3761 | 13.73 | 1–170 | 23.45 | |
| Area = 88 267 km2 | Fin whale | 24 | 26 | 1.08 | 1–3 | 0.41 | |
| K = 79 | Bottlenose dolphin | 8 | 27 | 3.37 | 1–8 | 2.72 | |
| L = 8446.8 km | Long-finned pilot whale | 5 | 49 | 9.8 | 6–14 | 3.03 | |
| Sperm whale | 5 | 6 | 1.2 | 1–2 | 0.45 | ||
| Risso's dolphin | 4 | 34 | 8.5 | 2–19 | 7.42 | ||
| Cuvier's beaked whale | 4 | 10 | 2.5 | 2–3 | 0.58 | ||
Figure 4Maps of striped dolphins and fin whales sightings.
Sightings of the two species for which sufficient sightings were made to estimate abundance: fin whales (summer only (A)) and striped dolphins (winter (B) and summer (C)).
Figure 5Winter and summer group sizes of striped dolphins.
Abundance estimates for striped dolphins and fin whales from the 2009 winter and summer surveys.
| Stratum |
|
| E[s] (%CV) | esw |
|
| 95% CI(N) |
|
| |||||||
| A | 2932.6 | 28 | 7.42 (25.8) | 238.5 (6.2) | 0.1486 (39.4) | 4593 (39.4) | 2150–9811 |
| B | 2273.5 | 31 | 6.76 (15.4) | 238.5 (6.2) | 0.1932 (34.2) | 4484 (34.2) | 2278–8829 |
| C | 2938.3 | 47 | 9.07 (20.1) | 238.5 (6.2) | 0.3041 (30.4) | 10 385 (30.4) | 5728–18 829 |
|
|
|
|
|
|
| ||
|
| |||||||
| A | 3033.3 | 43 | 9.29 (27.9) | 354.1 (5.4) | 0.1859 (38.1) | 5746 (38.1) | 2761–11955 |
| B | 2264.8 | 53 | 12.05 (23.8) | 354.1 (5.4) | 0.3982 (34.4) | 9241 (34.4) | 4735–18034 |
| C | 3148.8 | 164 | 9.36 (13.1) | 354.1 (5.4) | 0.6881 (22.0) | 23 501 (22.0) | 15 217–36 294 |
|
|
|
|
|
|
| ||
|
| |||||||
| A | 3033.3 | 2 | 1.00 (0.0) | 564.6 (12.7) | 0.00058 (70.7) | 18 (70.7) | 5–66 |
| B | 2264.8 | 8 | 1.00 (0.0) | 564.6 (12.7) | 0.00313 (32.6) | 73 (32.6) | 38–140 |
| C | 3148.8 | 6 | 1.00 (0.0) | 564.6 (12.7) | 0.00169 (46.4) | 58 (46.4) | 23–142 |
|
|
|
|
|
|
|
L = km surveyed on effort. n = number of primary sightings used in the analysis. E[s] = estimated mean group size (%CV). esw = effective strip half width in m (%CV). D = density (animals per km−2) (%CV). N = estimated abundance (%CV). 95% CI (N). CV = coefficient of variation and CI = confidence interval.
Simple comparison of strengths of vessel and aircraft survey platforms for the Mediterranean Sea.
| VESSEL | AIRCRAFT |
|
| |
| Small vessels: coastal watersLarge vessels: high seas | Generally limited to coastal waters but depends on fuel capacity/endurance and availability of airports |
| Travel speed around 10 knots limits area coverage with time | Travel speed around 100 knots means around 10 times greater search distance with time |
| Poor for areas with complex coastlines and small islands | Deals with complex coastlines and small islands well |
|
| |
| Relates to area that can be covered and behaviour, but in principle all species either visually or acoustically | Better suited to the non long-divers given speed of platform; not good for high seas species given endurance limitations |
| Need to account for potential responsive movement | Responsive movement not a problem |
| School size estimation for some species can be difficult | Generally easier to estimate school size |
| Generally poor for estimating other megafauna | Good for other megafauna (e.g. sea turtle, giant devil ray, sharks, tuna) at least in the Mediterranean Sea |
|
| |
| Cannot operate in ‘unacceptable’ conditions (these will depend on species) – swell can be a major problem | Cannot operate in ‘unacceptable’ conditions (these will depend on species) – swell less of a problem |
| Given speed limitations, relatively poor use of good weather windows | Efficient use of good weather windows (higher survey speed, ability to move to good weather areas quickly) |
|
| |
| Measurement of key parameters, especially distance, and to a lesser extent angle, is problematic | Measurement of perpendicular distance easier and better |
| Estimation of g(0) using double platform methods well established and space on board usually not a problem | Difficult to use double platform methods in smaller planes (for some species ‘circle back’ works |
| Allows collection of additional data: acoustic, environmental, photo-identification data | Collection of additional data difficult or impossible |
| Usually can incorporate more scientists | Limited number of scientists |
|
| |
| More expensive than aerial surveys but:can operate on high seas;can collect additional data. | More cost-effective where they can operate and better able to take advantage of good conditions when they are scarce (both geographically and seasonally) |