Prey Biomass (prey + biomass)

Distribution by Scientific Domains


Selected Abstracts


Invasions and niche width: does niche width of an introduced crayfish differ from a native crayfish?

FRESHWATER BIOLOGY, Issue 8 2009
KARIN OLSSON
Summary 1. Human activities have promoted the spread of species worldwide. Several crayfish species have been introduced into new areas, posing a threat to native crayfish and other biota. Invader success may depend on the ability to utilise a wide variety of habitats and resources. Successful invaders are generally expected to have broader niches and to be more plastic than non-invasive species. 2. Using stable isotope ratios of carbon and nitrogen we compared the niche widths of native noble crayfish and introduced signal crayfish, a successful invader of Swedish streams. The calculation of niche width took account of between-site differences in basal resource isotope signature ranges. We also assessed whether population density, prey biomass or prey diversity affected niche width. 3. At the species level, signal crayfish had twice the niche width of noble crayfish. However, individual populations of noble crayfish and signal crayfish in Swedish streams had similar niche widths. This suggests that signal crayfish has greater plasticity with respect to habitat utilisation and feeding than noble crayfish. Niche width in both species correlated positively with benthic invertebrate biomass and diversity, indicating that animal food sources are important for crayfish. 4. We find that assessing niche width in relation to invader success can be a useful tool trying to predict the impact of invasions on different scales. The findings in this study suggest that invaders and natives will have a similar impact on the stream scale whereas the invader will have a larger impact on the regional scale due to the ability to utilise a wider range of streams. [source]


Contrasting population changes in sympatric penguin species in association with climate warming

GLOBAL CHANGE BIOLOGY, Issue 3 2006
JAUME FORCADA
Abstract Climate warming and associated sea ice reductions in Antarctica have modified habitat conditions for some species. These include the congeneric Adélie, chinstrap and gentoo penguins, which now demonstrate remarkable population responses to regional warming. However, inconsistencies in the direction of population changes between species at different study sites complicate the understanding of causal processes. Here, we show that at the South Orkney Islands where the three species breed sympatrically, the less ice-adapted gentoo penguins increased significantly in numbers over the last 26 years, whereas chinstrap and Adélie penguins both declined. These trends occurred in parallel with regional long-term warming and significant reduction in sea ice extent. Periodical warm events, with teleconnections to the tropical Pacific, caused cycles in sea ice leading to reduced prey biomass, and simultaneous interannual population decreases in the three penguin species. With the loss of sea ice, Adélie penguins were less buffered against the environment, their numbers fluctuated greatly and their population response was strong and linear. Chinstrap penguins, considered to be better adapted to ice-free conditions, were affected by discrete events of locally increased ice cover, but showed less variable, nonlinear responses to sea ice loss. Gentoo penguins were temporarily affected by negative anomalies in regional sea ice, but persistent sea ice reductions were likely to increase their available niche, which is likely to be substantially segregated from that of their more abundant congeners. Thus, the regional consequences of global climate perturbations on the sea ice phenology affect the marine ecosystem, with repercussions for penguin food supply and competition for resources. Ultimately, variability in penguin populations with warming reflects the local balance between penguin adaptation to ice conditions and trophic-mediated changes cascading from global climate forcing. [source]


Predator size, prey size and threshold food densities of diving ducks: does a common prey base support fewer large animals?

JOURNAL OF ANIMAL ECOLOGY, Issue 5 2009
Samantha E. Richman
Summary 1. Allometry predicts that a given habitat area or common prey biomass supports fewer numbers of larger than smaller predators; however, birds from related taxa or the same feeding guild often deviate from this pattern. In particular, foraging costs of birds may differ among locomotor modes, while intake rates vary with accessibility, handling times and energy content of different-sized prey. Such mechanisms might affect threshold prey densities needed for energy balance, and thus relative numbers of different-sized predators in habitats with varying prey patches. 2. We compared the foraging profitability (energy gain minus cost) of two diving ducks: smaller lesser scaup (Aythya affinis, 450,1090 g) and larger white-winged scoters (Melanitta fusca, 950,1800 g). Calculations were based on past measurements of dive costs with respirometry, and of intake rates of a common bivalve prey ranging in size, energy content and burial depth in sediments. 3. For scaup feeding on small prey <12 mm long, all clams buried deeper than 5 cm were unprofitable at realistic prey densities. For clams buried in the top 5 cm, the profitability threshold decreased from 216 to 34 clams m,2 as energy content increased from 50 to 300 J clam,1. 4. For larger scoters feeding on larger prey 18,24 mm long, foraging was profitable for clams buried deeper than 5 cm, with a threshold density of 147 m,2 for clams containing 380 J clam,1. For clams <5 cm deep, the threshold density decreased from 86 to 36 clams m,2 as energy content increased from 380 to 850 J clam,1. If scoters decreased dive costs by swimming with wings as well as feet (not an option for scaup), threshold prey densities were 11,12% lower. 5. Our results show that threshold densities of total prey numbers for different-sized ducks depend on prey size structure and depth in the sediments. Thus, heterogeneity in disturbance regimes and prey population dynamics can create a mosaic of patches favouring large or small predators. Whether a given area or total prey biomass will support greater numbers of larger or smaller predators will vary with these effects. [source]


Prey diversity, prey composition, and predator population dynamics in experimental microcosms

JOURNAL OF ANIMAL ECOLOGY, Issue 5 2000
Owen L. Petchey
Summary 1. Food-web complexity-stability relations are central to ecology, and many empirical studies show greater food-web complexity leads to lower population stability. Here, predator population variability decreased with increasing prey diversity in aquatic microcosm experiments, an example of greater food-web complexity leading to greater population stability. 2. Prey diversity as well as different sets of prey species within each level of prey diversity produced differences in predator population dynamics, demonstrating the importance of both prey composition and prey diversity in determining predator population stability. 3. Prey diversity can affect predator population dynamics through at least three groups of mechanisms: prey reliability, prey biomass, and prey composition mechanisms. The results suggest that greater prey reliability at higher prey diversities enhances predator stability and provide support for MacArthur (1955). [source]


Demography of lions in relation to prey and habitat in the Maasai Mara National Reserve, Kenya

AFRICAN JOURNAL OF ECOLOGY, Issue 2 2002
J. O. Ogutu
Abstract We studied lion demography in the Maasai Mara National Reserve between September 1990 and April 1992, with a special emphasis on the spatial and seasonal variation in demographic characteristics. Lion density (0.2,0.4 lions km,2) and pride size (range 8,48) were high because of a high resident prey biomass (10 335 kg km,2) augmented by migrant prey to 26 092 kg km,2 in the dry season. Overall, their sex ratio was almost at parity and varied neither spatially nor seasonally. Sex ratio was even among subadults but skewed toward males and females among cubs and adults, respectively. This implies an increasing differential mortality of males with age through subadulthood. The age ratio varied seasonally because of a birth peak in March,June and an influx of subadults into the reserve during July,August, coincident with increases in migrant prey. The birth peak was apparently preceded by another peak in mating activity falling between November and May. Further research should investigate the precise causes of the biased cub sex ratio, low lion density in the Mara Triangle and the higher ratio of subadults in Musiara than in the Mara Triangle or Sekenani. Résumé Nous avons étudié la démographie des lions dans la Réserve Nationale de Masai Mara entre septembre 1990 et avril 1992, en insistant particulièrement sur les variations spatiales et saisonnières des caractéristiques démographiques. La densité des lions (0.2,;0.4 lions/km2) et la taille des troupes (de 8 à 48) étaient élevées en raison de la forte biomasse des proies résidentes (10 335 kg/km2), portée à 26 092 kg/km2 en saison sèche par les proies migratrices. En général, le sex-ratio était à peu près égal et ne variait ni selon les saisons, ni selon les endroits. Les sex-ratio était égal parmi les sub-adultes, mais il déviait en faveur des mâles et des femelles chez les petits et les adultes, respectivement. Ceci implique une mortalité de plus en plus différentielle des mâles à l'âge sub-adulte. L'âge-ratio variait avec les saisons en raison d'un pic de natalité de mars à juin et d'une arrivée de sub-adultes dans la réserve en juillet-août, coïncidant avec l'augmentation des proies migratrices. Le pic des naissances était apparemment précédé par un autre pic des activités d'accouplement, entre novembre et mai. De nouvelles recherches devraient étudier les raisons précises du sex-ratio biaisé chez les lionceaux, de la faible densité des lions dans le Mara Triangle et du taux de sub-adultes plus élevéà Musiara que dans le Mara Triangle ou à Sekenani. [source]


A MICROFOUNDATION OF PREDATOR-PREY DYNAMICS

NATURAL RESOURCE MODELING, Issue 3 2006
THOMAS EICHNER
ABSTRACT. Predator-prey relationships account for an important part of all interactions betweenspecies. In this paper we provide a microfoundation for such predator-prey relations in afood chain. Basic entities of our analysis are representative organisms of species modeled similar to economic households. With prices as indicators of scarcity, organisms are assumed to behave as if they maximize their net biomass subject to constraints which express the organisms' risk of being preyed upon during predation. Like consumers, organisms face a ,budget constraint' requiring their expenditure on prey biomass not to exceed their revenue from supplying own biomass. Short-run ecosystem equilibria are defined and derived. The net biomass acquired by the representative organism in the short term determines the positive or negative population growth. Moving short-run equilibria constitute the dynamics of the predator-prey relations that are characterized in numerical analysis. The population dynamics derived here turn out to differ significantly from those assumed in the standard Lotka-Volterra model. [source]


THE IMPACT OF SCARCITY AND ABUNDANCE IN FOOD CHAINS ON SPECIES POPULATION DYNAMICS

NATURAL RESOURCE MODELING, Issue 3 2003
THOMAS EICHNER
ABSTRACT. The population dynamics in a food chain are derived from a sequence of short-run equilibria of an ecosystem where predator species demand prey biomass, supply own biomass to their predators and are assumed to behave as if they maximize net biomass intake. Introducing prices as scarcity indicators for the biomass of each species enables us to determine a short-run ecosystem equilibrium guided by prices. Equilibrium regimes differ with respect to their mix of zero-priced (= abundant) and positive-priced (= scarce) species. The population dynamics turn out to vary with the prevailing equilibrium regime. Our analysis yields a richer and more complex population dynamics than the traditional predator-prey dynamics of the Lotka-Volterra type. [source]