ICES Journal of Marine Science, 54: 635–644. 1997 Catch per unit effort, foraging efficiency, and parental investment in breeding great cormorants (Phalacrocorax carbo carbo) David Grémillet Grémillet, D. 1997. Catch per unit effort, foraging efficiency, and parental investment in breeding great cormorants (Phalacrocorax carbo carbo). – ICES Journal of Marine Science, 54: 635–644. The feeding ecology of breeding great cormorants (Phalacrocorax carbo carbo) was studied in 8 males and 6 females using automatic nest-balances and a radio-tracking system. Birds were shown to be extremely efficient predators with median catch per unit effort of 15.2 g of fish taken per minute spent underwater (n=89; gross foraging efficiency 3.25) in males and 9.0 g min "1 in females (n=91; gross foraging efficiency 3.46). Mean daily food intake was also high (828&166 g, n=7 in males and 829&271 g, n=6 in females) and was positively related to brood biomass. Catch per unit effort was not related to foraging range, showing that birds do not tend to visit distant foraging areas to compensate for prey stock depletion around the breeding site. Furthermore, breeding adults responded to increasing food requirements of the brood by increasing the number of foraging trips per day, but maintained constant foraging effort, load size and catch per unit effort. Parents thus increased their overall foraging effort and food intake but kept their body mass constant. ? 1997 International Council for the Exploration of the Sea Key words: Ashmole’s halo, catch per unit effort, daily food intake, foraging efficiency, parental investment, Phalacrocorax. D. Grémillet: Institut für Meereskunde an der Universität Kiel, Düsternbrooker Weg 20, D-24105 Kiel, Germany. Tel: +494315973939; fax: +494315973994; email: [email protected] Introduction Many studies in behavioural ecology have focused on small insect and bird species studied in captivity (see Stephen and Krebs, 1987; Bell, 1991; Krebs and Davies, 1991), while the foraging behaviour of most large marine vertebrates is still poorly understood (e.g. Gentry et al., 1986). However, in the last decade, improved technology has allowed pioneer work on movements and feeding activity in three dimensions of large marine predators (e.g. Boyd et al., 1994; Fedak and Thompson, 1993; Weimerskirch et al., 1993). I studied the feeding ecology of the largest flying cormorant, the Atlantic sub-species of the great cormorant (Phalacrocorax carbo carbo), which occurs in northern Europe, Iceland, Greenland, and eastern Canada (Johnsgard, 1993). The birds breed on remote islands or inaccessible coastal areas from where they fly once or several times a day to their feeding zones (Géroudet, 1959). Cormorants are foot-propelled pursuit divers (sensu Ashmole, 1971) and cannot easily be observed while feeding. Consequently, information on their foraging behaviour and on food intake rates is scarce (Grémillet and Plös, 1994; Grémillet et al., 1997a), a fact that is relevant for both behavioural 1054–3139/97/040635+10 $25.00/0/jm970250 ecologists (see Krebs and Kacelnik, 1991) and wildlife managers (see Kirby et al., 1996). Automatic nest balances and a radio-tracking system were used to measure foraging success in terms of total amount of food ingested and foraging effort in terms of time spent underwater. The collected data allow the calculation of catch per unit effort (c.p.u.e.) and gross foraging efficiency in breeding great cormorants, as well as an assessment of their daily food intake and parental investment at different breeding stages. Materials and methods All fieldwork was conducted under licence during April and May 1995 on great cormorants (Phalacrocorax carbo) raising chicks at the Chausey Islands (48)55*N 01)45*W), France. Assessment of food consumption Food intake was measured using an automatic weighing system that recorded body masses of adult great cormorants before and after foraging trips (Grémillet et al., 1997a). The system comprised two S20 balances ? 1997 International Council for the Exploration of the Sea 636 D. Grémillet (weighing platform 520#400 mm, 5 g accuracy over 0–75 kg; Soehnle Waagen GmbH) and two S2710 balances (weighing platform 350#295 mm, 5 g accuracy over 0–30 kg; Soehnle Waagen GmbH), which were installed below the nests. The serial port of the balances was connected to a data transmitter (FDMS 2; Reimesch Hochfrequenztechnik) operating under licence at 434.075 MHz. Data were transmitted every 10 s via an omnidirectional aerial from the breeding colony to the field station between 1 and 5 km away. The signal was received by an omnidirectional aerial and linked to a FDMS 2 M receiver (Reimesch Hochfrequenztechnik) and a portable computer, where data were stored (software by Reimesch Hochfrequenztechnik). Each balance and data transmitter set was powered by two 32 W solar panels. The field configuration of the system as well as data analysis followed Grémillet et al. (1997a). Food loads brought back to the nest after each foraging trip were corrected for the effect of digestion using the following variables: (1) trip length: the time lapse between the departure of the bird from the nest and its return to the nest as recorded by the nestbalance; (2) flight time from the nest to the feeding area: the time between departure from the nest and the first dive at sea as recorded by the nest-balance and via radio-tracking (see below); and (3) flight time from the feeding area to the nest: the time between the last dive, as recorded by radio-tracking, and the return to the nest as measured by the nest-balance. Mean mass of prey was assumed to be 83 g (see Grémillet and Argentin, 1997). Corrections applied to the above parameters allowed calculation of the total amount of food taken at sea during a single foraging trip. Long-term variations in the body mass of the birds studied was assessed using measurements of the body mass of birds in early morning before the first feeding trip (see Grémillet et al., 1997a). Data analysis was performed using the program WAAGE2 (Jensen Software Systems). Assessment of diving activity and foraging range Birds breeding on nest balances were captured at the nest and fitted with VHF transmitters (TW3 transmitters, Biotrack). These weighed ca. 18 g (<1% of a cormorant’s body mass), and measured 30 mm long#20 mm diameter. Main and secondary aerials were 280 mm and 230 mm long, respectively. Transmitter assemblies were attached with cable ties underneath two tail feathers. The capture and attachment procedure took less than 10 min. Birds were radio-tracked from dawn to dusk (Grémillet et al., 1997b). At the main tracking station, the bearing of each transmitter was determined at least every 10 min. The activities of birds (nesting, flying, resting, diving) were also noted, as well as the duration of at least one consecutive dive cycle (dive and recovery) if the bird was diving (cf. Wanless et al., 1991). This procedure allowed one observer to ascertain the activity of up to nine different birds simultaneously. All information was stored on a Husky Hunter field computer. Data on dive durations of foraging cormorants which were already collected in the same way were also analysed (Grémillet et al., 1997b). For single-dive series, where all dive cycles were recorded, mean dive durations and recovery durations were calculated for all data in the dive series and for dive series consisting of every tenth dive and recovery duration. There were no significant differences between mean dive and recovery durations of dive series from both samples (paired t test, n=49, t=1.32, p>0.05). Since a typical dive/rest cycle in great cormorants lasts 60 s (Grémillet et al., 1997b), a maximum sampling interval of 10 min is sufficient to record at least every tenth dive and recovery duration and thus to collect a representative sample for the calculation of the mean dive and pause durations of complete dive series. Using this and the duration of complete dive series, the total time spent underwater during a particular foraging trip was: Tu =Tw Td Td +Ts where Tu is the total underwater time, Tw the total time in the water, Td the mean dive time, and Ts the mean time spent on the sea surface. Prey can be caught only while the bird is underwater, so Tu is used to characterize the foraging effort of the bird in the water. A second tracking station 1.75 km away was used to determine the position and the foraging range of birds at sea by triangulation (see Grémillet et al., 1997a) at least every 30 min. All trips with error margins of more than 5 km in the calculation of the foraging range were discarded. Data analysis was performed using the programs FUNKPEIL and KORMO (Jensen Software Systems). Catch per unit effort (c.p.u.e.) was calculated for each foraging trip and defined as prey mass taken per unit time spent underwater. Mean gross foraging efficiency (sensu Weathers and Sullivan, 1991) was calculated for both sexes as the ratio of the energy gained per foraging trip to the energy expended (flight, swimming, and wing-drying). Mean energy content of the food was assumed to be 4.0 kJ g "1. Mean assimilation efficiency was 77% (see Grémillet et al., 1995). Mean flight time was 11 min (Grémillet et al., 1997a). Flight costs for ‘‘empty’’ and loaded birds were calculated using information in Pennycuick (1989) and swimming costs were derived from Schmid et al. (1995). Mean total time in the water was estimated to be 48 min in males and 71 min in females (Grémillet, unpublished radio-tracking data). The small costs of wing-drying were derived from Hennemann (1983) as given by Grémillet et al. (1995). C.p.u.e., foraging, and parental investment in cormorants Weather conditions "2 Irradiance (accuracy 1 W m ) and windspeed (accuracy 0.8 m sec "1) were recorded at the breeding site every 10 min at a height of 1.5 m using a portable micro-meteorological station (Driesen and Kern GmbH). Brood biomass In order to reduce disturbance, chicks were weighed (&10 g) at the installation of the balance and capture of the parents, and at the end of the experiment. Daily brood biomass was back-calculated after Platteeuw et al. (1995). Data pooling Throughout the results, data concerning the foraging trips are presented for separate males and females. Within each sex, differences between different individuals were tested by a one-way ANOVA or KruskalWallis test. If this test was not significant, data from all individuals were pooled. Otherwise, a mean value was determined for each individual and means were then pooled to calculate overall mean values or used to examine correlations. Results A total of 89 trips by eight great cormorant males and of 91 trips by six great cormorant females from eight different nests were monitored. Mean body mass was 3200 g (S.D.=183, n=8) for males and 2325 g (S.D.=117, n=6) for females. The body mass of all but two adult birds in the early morning showed no consistent pattern of gain or loss (over an average of 11 d, range 3–19 d). In one male and one female, body mass measured over 12 and 19 d, respectively, fell significantly: Body mass male (g)=3139.7"15.3 d, r=0.735, p<0.05 Body mass female (g)=2463.0"7.6 d, r=0.58, p<0.05 During the study, birds were raising between one and four chicks (mean=2.3, S.D.=1.0, n=9). Median brood biomass was 1768 g (range 62–5331). One of the nine broods monitored was unsuccessful; all four chicks died on day 7 of the experiment (total calculated brood biomass of 2614 g) because of reduced feeding rates (see below). The mean corrected food load taken per foraging trip was 426 g (S.D.=123, range 195–621, n=8, significant difference between individuals: F=3.62, p<0.01) in males and 424 g (S.D.=75, range 328–509, n=6, significant difference between individuals: F=3.12, p<0.05) in females 637 (Fig. 1). In the unsuccessful breeding pair, the male brought no food during the 2 d prior to the chicks’ deaths. Overall, mean daily food intake was similar in males (mean=828&271 g, n=7, range 417–1194, significant difference between individuals: F=3.22, p<0.05) and in females (mean=828&166 g, n=6, range 528–1000, significant difference between individuals: F=3.61, p<0.05). The food requirements for birds with transmitters were not significantly different from those without transmitters that were monitored in 1994 (890&361 g, n=5, t=0.374, p>0.05 for males; and 800&292 g, n=5, t=0.221, p>0.05 for females; Grémillet et al., 1997a). The median number of foraging trips per day was similar in males (2 trips per day, range 1–5, n=8, significant difference between individuals: Z=36.53, p<0.01) and in females (2 trips per day, range 1–3, n=6, significant difference between individuals: Z=56.122, p<0.01). Mean trip length was also similar in both sexes, being 172 min in males (S.D.=72 min, n=89, no significant difference between individuals: F=2.243, p>0.05; Fig. 2), and 184 min in females (S.D.=88 min, n=91, Fig. 2, no significant difference between individuals: F=2.068, p>0.05). The mean time spent underwater during single foraging trips was 30 min for males (S.D.=23, range 0.3–135, n=89, no significant difference between individuals: F=1.60, p>0.05, Fig. 3), and 44 min for females (S.D.=31, range 0.5–141, n=91, no significant difference between individuals: F=2.378, p>0.05, Fig. 3). Foraging effort in terms of diving time per foraging trip was thus significantly higher in females than in males (t=3.43; p<0.001). C.p.u.e. was also significantly different in males and females (Z= "2.94, p<0.05), with males ingesting a median of 15.2 g min "1 (range 0–819, n=89, Fig. 4) and females taking a median of 9.0 g min "1 (range 1.3–1056, n=91, Fig. 4). There was no significant difference between the mean c.p.u.e. of different individuals within either sex (Z=3.788, p>0.05 in males and Z=3.969, p>0.05 in females). Mean gross foraging efficiency was 3.25 in males and 3.46 in females (i.e. the males gained, on average, 3.25 times more energy than they spent during a foraging trip and the females 3.46 times more, on average). Irradiance measured during single foraging trips was extremely variable (range 0 W m "2 to 895 W m "2) with a low median value (154 W m "2, n=117). Mean registered windspeed was 3.73 m sec "1 (S.D.=2.87, n=180). The time of feeding was not related to a particular tidal state (÷20.05(11) =6.187, p>0.05 in females and ÷20.05(11) =10.640, p>0.05 in males). The method for recording the distance between the breeding site and feeding locations resulted in a non-random sample, where offshore feeding locations were clearly under-represented (see Fig. 5). However, for a 15 km radius around Chausey, few data were discarded (15% only) and the overall accuracy of the 638 D. Grémillet 25 Frequency (%) 20 15 10 5 0 0 400 600 Food load per trip (g) 200 800 1000 Figure 1. Frequency distribution of food mass caught by breeding male (n=89) and female (n=91) great cormorants during single foraging trips. / males; . females. 35 30 Frequency (%) 25 20 15 10 5 0 1 2 3 4 5 Trip length (hours) 6 7 8 Figure 2. Frequency distribution of the total time spent away from the nest during single foraging trips of male (n=89) and female (n=91) great cormorants. / males; . females. C.p.u.e., foraging, and parental investment in cormorants 639 35 30 Frequency (%) 25 20 15 10 5 0 0 30 60 90 Time spent underwater (min) 120 150 Figure 3. Frequency distribution of the total time spent underwater during single foraging trips of male (n=89) and female (n=91) great cormorants. / males; . females. 60 50 Frequency (%) 40 30 20 10 0 0 20 40 60 Catch per unit effort (g/min dive) 80 100 Figure 4. Frequency distribution of the catch per unit effort in g ingested per minute spent underwater for single foraging trips of male (n=89) and female (n=91) great cormorants. The scale was cut for c.p.u.e. higher than 100 g min "1 with n=7 and 5 between 100 and 1000 g min "1 in males and females, respectively. / males; . females. 640 D. Grémillet 80 70 60 Frequency (%) 50 40 30 20 10 0 0 5 10 15 20 25 Distance to the breeding site (km) 30 35 Figure 5. Frequency distribution of the foraging range of male (n=61) and female (n=52) great cormorants. Fixes with an error range in the determination of the position of more than 5 km were discarded. / males; . females. 2000 Daily food intake (g) 1500 1000 500 0 1000 2000 3000 Brood biomass (g) 4000 5000 Figure 6. Relationships between the brood biomass and the daily food intake of the parents in great cormorants (with 95% confidence interval). C.p.u.e., foraging, and parental investment in cormorants selected data was high (median of 0.6 km). Spearman rank correlation tests showed that body mass, brood biomass, light intensity, distance to the colony, and tide had no influence on the c.p.u.e., nor on the total food load collected during single foraging trips by either male or female cormorants. Significant relationships were found between number of trips per day and brood biomass (Spearman rank correlation Rs =0.578, p<0.05, n=14) and between daily food intake and brood biomass (Rs =0.40, p<0.05, n=43, Fig. 6). In order to justify the use of the complete data set on daily food intake and brood biomass (Fig. 6), an analysis of covariance (ANCOVA) was carried out and this showed that the linear relationships for the complete data set and for the data set consisting of individual means (see above) were not significantly different (data normally distributed: p>0.05; both slopes are linear: F=0.005, p>0.05; no interaction between daily food intake and the covariate: F=0.601, p>0.05; ANCOVA, F=2.747, p>0.05). Discussion Catch per unit effort and gross foraging efficiency The estimations of c.p.u.e. and gross foraging efficiency involved both direct field measurements and modelling based on published data. It is not possible, therefore, to assess their accuracy. Estimations of food intake were based mainly on direct measurements of total trip lengths, flight times, mean prey length, and of the food load brought back to the nest (see above). Calculations of corrected load masses were made assuming a given, constant digestion rate and a constant prey intake rate. These assumptions have been confirmed recently by measurements of stomach pH, stomach churning, and of the stomach temperature in free-ranging individuals (Peters and Grémillet, unpublished data). Moreover, determination of the total time underwater was also based on direct measurements. In addition to the data used in the calculation of c.p.u.e. and further radio-tracking data, determination of foraging efficiency also requires the use of published data on the energetic costs of swimming, flying, and wing-flapping and on the assimilation efficiency of the birds. Swimming requires the highest energy input and this activity represents the bulk of the time budget in foraging great cormorants. The energetic costs of swimming, therefore, are a significant factor in the calculation of foraging efficiency. These energetic costs were taken from Schmid et al. (1995) and were measued in captive birds, which are likely to be less efficient divers than free-living birds and so may have higher energetic costs per unit body mass. Consequently, the figures presented for the average foraging efficiency in great cormorants are rather conservative. As the measurement of foraging success in seabirds is problematic, little is known about their c.p.u.e. Using 641 bird-attached loggers, Wilson and Grémillet (1996) measured a total food intake of 12 254 g during 134 h spent at sea by African penguins (Spheniscus demersus). Since these have typical dive/pause ratios of 8.6:1 (Wilson, unpublished data), they have a c.p.u.e. of ca. 1.75 g min "1 spent underwater. Similarly, Wilson and Grémillet (1996) report that in 22 h spent at sea, bank cormorants (P. neglectus) ingested 1410 g. Assuming a dive/pause ratio of 4:1 (Wilson and Wilson, 1988) the catch per unit effort for this species can be estimated to be 1.34 g min "1. Wanless et al. (unpublished data) determined that European shags (P. aristotelis) breeding on the Isle of May, Scotland, had a median c.p.u.e. of 3.0 g min "1. Thus, the c.p.u.e. of 9 to 15 g min "1 for great cormorants from Chausey appears to be extremely high (Fig. 4). In addition, their gross foraging efficiency is also higher than that measured in other foraging seabirds (e.g. 2.1 for African penguins (Spheniscus demersus); Nagy et al., 1984; and 1.55 for Adélie penguins (Pygoscelis adeliae); Chappell et al., 1993) or marine mammals (e.g. 1.24 for Northern fur seals (Callorhinus ursinus); Costa and Gentry, 1986; and 1.09 for Antarctic fur seals (Arctocephalus gazella); Costa et al., 1989), and is comparable to that of terrestrial herbivorous birds and mammals (e.g. 3.0 for barnacle geese (Branta leucopsis); Black et al., 1992; and 0.3–4.2 for black-tailed deer (Odocoileus hemionus sitkensis); Parker et al., 1996). There are two possible explanations for the difference between the efficiencies of great cormorants and other species. The first is that great cormorants may benefit from high local prey densities. The birds studied on Chausey forage mainly in an area situated between the Chausey Islands and the western coast of the Cotentin, ca. 17 km to the east (Grémillet, unpublished data). This is a shallow (<25 m depth), extended (ca. 600 km2) coastal area (BRGM, 1988) in the very productive North Sea/Channel shelf ecosystem (Steele, 1974; Walsh, 1988). It is near Granville, one of the major French fishing harbours, and was systematically overfished until pelagic prey stocks crashed in the late 1970s (Forest and Souplet, 1994). Since then, local fishing has been reduced and focuses on whelks (Buccinum undatum) and Sepia officinalis (Anon., 1992 and 1993), neither of which are taken by great cormorants (Grémillet and Argentin, 1997). These birds feed mainly on labrids (48% of their intake; Grémillet and Argentin, 1997) and, mostly, do not compete with commercial fisheries for prey stocks, suggesting that feeding conditions for the great cormorant here are good. A second possible explanation why the foraging efficiency of great cormorants is greater than that of other marine birds and mammals is that they are highly efficient predators. Cormorants retain little air in their plumage while diving (Rijke, 1968; Wilson et al., 1992). This allows them to swim with minimal costs of transport at any 642 D. Grémillet depth, but albeit with high thermoregulatory costs due to reduced insulation (see Lovvorn and Jones, 1991; Schmid et al., 1995). Consequently, for great cormorants swimming in cold water, overall swimming costs are high, which necessitates a high energetic return. Using the energetic costs of flying, swimming and wing-drying it is possible to calculate how much energy a great cormorant has to spend per unit of foraging time. Using this and the known assimilation efficiency, I calculated the minimum amount of fish that has to be taken just to cover these energetic costs (i.e. for a gross foraging efficiency of 1.0), and the minimum c.p.u.e. that a bird has to achieve to do so. This showed that great cormorants need a minimum c.p.u.e. of 4.3 g min "1 and 2.7 g min "1 for males and females, respectively, in order to ensure an overall gross foraging efficiency of 1.0. This value is already higher than the estimated c.p.u.e. of African penguins foraging for their chicks with a gross efficiency of 2.1 (Nagy et al., 1984; Wilson and Grémillet, 1996). The lack of plumage air, which previously has been considered an important morphological disadvantage in cormorants, presumably allows the birds to be extremely efficient predators, but increases their minimum prey density requirements when diving in cold water. In this respect, current conflict between great cormorants and human fisheries (see Kirby et al., 1996) may be minimized by a reduction in prey densities, thereby rendering particular prey stocks unexploitable for these birds. Daily food intake Grémillet et al. (1995) used a time-energy budget to assess food requirements in breeding great cormorants (P. c. sinensis) and calculated a daily food intake of 238 g in incubating birds, 316 g in birds with small chicks, and 588 g in birds rearing downy chicks. Furthermore, data from nest-balances used in great cormorant nests in the Chausey Islands indicate a mean daily food intake of 890 g in males and 800 g in females (Grémillet et al., 1997a). The results presented in this paper also show high daily food intake in breeding birds that could be related to the total biomass of the brood (Fig. 6). This relationship suggests that the food requirements of adult birds without chicks (see intercept in Fig. 6) may be higher than previously assessed, and indicates that the dramatic increase in daily food intake during the breeding season is related to the increasing energy requirements of the brood. This may be as high as the energy requirements of an adult breeding bird at the end of the chick-rearing period (see Fig. 6). Further work is clearly needed in order to assess precisely the food requirements of great cormorants over the breeding season. This should involve the use of automatic weighing units and activity recorders for individual birds over the entire breeding season but should also aim to reassess the time energy budget of breeding great cormorants with special reference to the energy requirements of chicks. Ashmole’s halo Ashmole (1963) postulated that seabird communities should deplete fish stocks in the vicinity of their breeding colonies. The existence of an ‘‘Ashmole’s halo’’ may be assessed either by measurement of fish density or by the determination of predator behaviour. Birt et al. (1987) measured prey density in an area close to a breeding colony of double-crested cormorants (P. auritus) and interpreted their findings as evidence for prey depletion by piscivorous birds, even though there was no evidence that fish abundance would have been higher if the cormorants had not been feeding in this area. Such prey depletion near the breeding site makes it likely that foraging birds increase the distance between the nest and the feeding area in order to compensate. This might be a strategy used particularly by cormorants where the energetic costs of flight are lower than the energetic costs of diving, and where birds have to minimize their time spent in the water (see above). However, the data from this study indicating high c.p.u.e. close to the colony, and constant mean foraging ranges throughout the study period, do not support the Ashmole’s halo concept. Prey availability does not appear to be a limiting factor for great cormorants breeding on the Chausey Islands (see above). Why, then, do great cormorants visit distant feeding areas (up to 35 km from the nest, see Fig. 5) if prey density is already sufficient in the vicinity of the breeding colony? Great cormorants are opportunistic feeders with an extremely broad diet (Steven, 1933). Birds breeding on the Chausey Islands have been shown to feed both in mid-water and on the bottom on at least 22 different fish species (Argentin and Grémillet, 1997). This diet includes demersal fish species (67%), typically labrids (Ctenolabrus rupestris, Centrolabrus exoletus), but also various pelagic species (29%). The Chausey Islands number over 50 distributed over 70 km2 (BRGM, 1988). The marine area next to the breeding sites occupied by the great cormorants is a widespread zone of granitic boulders, which are the typical habitat of labrids (BRGM, 1988; Muus and Dahlstrøm, 1974). Moreover, the sea area that surrounds the archipelago itself is almost exclusively sandy (BRGM, 1988) and, therefore, is thus likely to be preferred by shoals of pelagic fish (Muus and Dahlstrøm, 1974). Since the energy content of pelagic fish is higher than that of labrids (Bone and Marshall, 1985), the birds studied may choose partly to increase their flight time in order to reach areas where high quality, fat fish can be caught with a similar c.p.u.e. to low quality fish located near the breeding site (see Obst et al., 1995). This may be part of the parental response to high energy requirements of the brood (see C.p.u.e., foraging, and parental investment in cormorants above). Finally, as great cormorants are probably able to detect feeding conspecifics from the air while flying toward their feeding areas, birds may voluntarily avoid competition by visiting ‘‘free’’ foraging areas situated further away from the breeding site. Parental investment The dramatic increase in chick energy requirements over the first weeks of their lives (Fig. 6) means that, eventually, the needs of the brood become so high that one parent alone may be unable to provide the required amount of food. In this study, brood failure occurred in a nest with a brood size of four, to which the adult male did not bring any food for two days prior to the chicks’ deaths. Moreover, a male raising a chick on his own was unable to keep his offspring alive for longer than one week (pers. obs.). Great cormorants seem to respond to the increasing energy requirements of the chicks mainly by increasing the amount of food provided (see Fig. 6) and perhaps also by improving the quality of the food provided in terms of energy content (see above). In the great cormorants studied here, no increase in load size (see Wanless et al., 1993), c.p.u.e. or in time spent underwater during single foraging trips was measured for increasing brood biomass. Therefore, the birds seem able only to increase the amount of food brought back to the nest by increasing the number of foraging trips per day. The apparent limit to load mass may be related to flight costs required to transport food from the sea to the nest. However, load size did vary greatly in the birds studied (Fig. 1) and this variation was not correlated with foraging range or windspeed, both of which are likely to affect flight costs. The reduced plumage air of cormorants while diving (Rijke, 1968), associated with substantial thermoregulatory costs (Wilson and Grémillet, 1996), makes it likely that the time spent swimming by foraging great cormorants (see Fig. 3) is more critical than the total flight time. The final load size, and, thus, c.p.u.e. also, are thus likely to be determined by a physiological body temperature threshold (Wilson and Grémillet, 1996) as well as by prey availability in a particular area. Great cormorants tend to increase the number of foraging trips per day as their chicks grow, but keep a nearly constant body mass over that period, even if their brood is starving to death. Thus, they work harder, but always keep enough food for themselves to maintain constant body fat reserves, as shown above. Breeding success in these birds may be predicted, therefore, to reflect directly food availability, as parents do not provide any ecological buffer by their own body fat reserves, as is shown to be the case in other seabird species (Burger and Piatt, 1990; Wanless and Harris, 1992; Weimerskirch, 1992). 643 Acknowledgements This work was funded by the Deutsche Forschungsgemeinschaft through grant DFG Cu24/4, by the Institut für Meereskunde an der Universität Kiel, by the Groupe Ornithologique Normand, Université de Caen, and by the Direction Régionale de l’Environnement de Basse Normandie. Grateful thanks are due to D. Adelung, G. Debout, and to G. Clouet for their extended support and to the Société Civile Immobilière des Iles Chausey, the Direction Départementale de l’E u quipement de la Manche, and the Mairie de Granville for allowing research to be conducted on islands under their control, and also for technical support. I thank D. Allers, G. Argentin, I. Bergner, F. Brodrecht, Fa. and Fl. Capon, S. Debocey, J. Garçon, Y. Gary, G. Heckemeier, N. Haye, C. Labrosse, M. Leclerc, D. Messmer, C. Michenaud, and C. Montebran for their help with the radio-tracking, J-L. Coguiez, J-F. Couillandre, L. Demongin, J-P. Fortin, C and Y. Grall, N. Pinabel, and C. Venot for their technical and moral support, and S. Garthe, M. Kierspel, G. Luna-Jorquera, G. Peters, K. Pütz, J. Regel, and R. P. Wilson for efficient team work. Many thanks, finally, to C. Reimesch for building the radio-transmission of the weighing data and for his friendly and professional help, to M. P. Harris, R. P. Wilson, and S. Garthe for their comments on this manuscript, and to G. Luna-Jorquera for his help with statistical questions. References Anon. 1992. Port de pêche de Granville. Résultats 1992, Chambre de commerce et d’industrie de Granville-Saint Lô. Internal Report. 31 pp. Anon. 1993. Port de pêche de Granville. Résultats 1993, Chambre de commerce et d’industrie de Granville-Saint Lô. 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