992 resultados para spatial competition


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We investigated estuarine spatial and temporal overlap of wild and marked hatchery chum salmon (Oncorhynchus keta) fry; the latter included two distinct size groups released near the Taku River estuary (Taku Inlet) in Southeast Alaska (early May releases of ~ 1.9 g and late May releases of ~ 3.9 g wet weight). Our objectives were to compare abundance, body size, and condition of wild chum salmon fry and hatchery chum salmon fry raised under early and late rearing strategies in different habitats of Taku Inlet and to document environmental factors that could potentially explain the distribution, size, and abundance of these chum salmon fr y. We used a sampling design stratified into inner and outer inlet and neritic and littoral habitats. Hatchery fry were rare in the inner estuary in both years but outnumbered wild fry 20:1 in the outer estuary. Hatchery fry were significantly larger than wild fry in both littoral and neritic samples. Abundances of wild and hatchery fry were positively correlated in the outer inlet, indicating the formation of mixed schools of hatchery and wild fry. Spatial and temporal overlap was greatest between wild and early hatchery fry in the outer inlet in both habitats. The early hatchery release coincided with peak abundances of wild fry in the outer inlet, and the distribution of wild and early hatchery fry overlapped for about three weeks. Our results demonstrate that the timing of release of hatchery fry may affect interactions with wild fry.

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Knowing where pinnipeds forage is vital to managing and protecting their populations, and for assessing potential interactions with fisheries. We assessed the spatial relationship between the seasonal distribution of Pacific harbor seals (Phoca vitulina richardii) outfitted with satellite transmitters and the seasonal distributions of potential harbor seal prey species in San Francisco Bay, California. Pearson’s correlation coefficients were calculated between the number of harbor seal locations in an area of the San Francisco Bay and the abundance of specific prey species in the same area. The influence of scale on the analyses was assessed by varying the scale of analysis from 1 to 10 km. There was consistency in the prey species targeted by harbor seals year-round, although there were seasonal differences between the most important prey species. The highest correlations between harbor seals and their prey were found for seasonally abundant benthic species, located within about 10 km of the primary haul-out site. Probable foraging habitat for harbor seals was identified, based on areas with high abundances of prey species that were strongly correlated with harbor seal distribution. With comparable local data inputs, this approach has potential application to pinniped management in other areas, and to decisions about the location of marine reserves designed to protect these species.

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Sand seatrout (Cynoscion arenarius) and silver seatrout (C. nothus) are both found within the immediate offshore areas of the Gulf of Mexico, especially around Texas; however information is limited on how much distributional overlap really occurs between these species. In order to investigate spatial and seasonal differences between species, we analyzed twenty years of bay and offshore trawl data collected by biologists of the Coastal Fisheries Division, Texas Parks and Wildlife Department. Sand seatrout and silver seatrout were distributed differently among offshore sampling areas, and salinity and water depth appeared to correlate with their distribution. Additionally, within the northernmost sampling area of the gulf waters, water depth correlated significantly with the presence of silver seatrout, which were found at deeper depths than sand seatrout. There was also an overall significant decrease in silver seatrout abundance during the summer season, when temperatures were at their highest, and this decrease may have indicated a migration farther offshore. Sand seatrout abundance had an inverse relationship with salinity and water depth offshore. In addition, sand seatrout abundance was highest in bays with direct passes to the gulf and correlated with corresponding abundance in offshore areas. These data highlight the seasonal and spatial differences in abundance between sand and silver seatrout and relate these differences to the hydrological and geological features found along the Texas coastline.

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Catch rates from surveys are used as indices of abundance for many fish species. Relative abundance estimates from surveys with longline gear do not usually account for possible effects of gear saturation, which potentially creates competition among fish for baited hooks and misrepresentations of abundance trends. We examined correlations between catch rates of sablefish (Anoplopoma fimbria) and giant grenadier (Albatrossia pectoralis) and between sablefish and shortraker (Sebastes borealis) and rougheye rockfish (Sebastes aleutianus) from 25 years of longline surveys in Alaska waters for evidence of competition for hooks. Sablefish catch rates were negatively correlated with giant grenadier catch rates in all management areas in Alaskan waters, and sablefish and rockfish were negatively correlated in five of the six areas, indicating that there is likely competition for hooks during longline surveys. Comparative analyses were done for trawl survey catch rates, and no negative correlations were observed, indicating that the negative correlations on the longline surveys are not due to differing habitat preferences or direct competition. Available adjustments for gear saturation may be biased if the probability of capture does not decrease linearly with baited hooks. A better understanding of each fish species’ catch probabilities on longline gear are needed before adjustments for hook competition can be made.

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Cape Cod Bay (Massachusetts) is the only known winter and early spring feeding area for concentrations of the endangered North Atlantic right whale (Eubalaena glacialis) population. During January–May, 1998–2002, 167 aerial surveys were conducted (66,466 km of total survey effort), providing a complete representation of the spatiotemporal distribution of right whales in the bay during winter and spring. A total of 1553 right whales were sighted; some of these sightings were multiple sightings of the same individuals. Right whale distribution and relative abundance patterns were quantified as sightings per unit of effort (SPUE) and partitioned into 103 23-km2 cells and 12 2-week periods. Significant interannual variations in mean SPUE and timing of SPUE maxima were likely due to physically forced changes in available food resources. The area of greatest SPUE expanded and contracted during the season but its center remained in the eastern bay. Most cells with SPUE>0 were inside the federal critical habitat (CH) and this finding gave evidence of the need for management measures within CH boundaries to reduce anthropogenic mortality from vessel strikes and entanglement. There was significant within-season SPUE variability: low in December−January, increasing to a maximum in late February−early April, and declining to zero in May; and these results provide support for management measures from 1 January

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King mackerel (Scomberomorus cavalla) are ecologically and economically important scombrids that inhabit U.S. waters of the Gulf of Mexico (GOM) and Atlantic Ocean (Atlantic). Separate migratory groups, or stocks, migrate from eastern GOM and southeastern U.S. Atlantic to south Florida waters where the stocks mix during winter. Currently, all winter landings from a management-defined south Florida mixing zone are attributed to the GOM stock. In this study, the stock composition of winter landings across three south Florida sampling zones was estimated by using stock-specific otolith morphological variables and Fourier harmonics. The mean accuracies of the jackknifed classifications from stepwise linear discriminant function analysis of otolith shape variables ranged from 66−76% for sex-specific models. Estimates of the contribution of the Atlantic stock to winter landings, derived from maximum likelihood stock mixing models, indicated the contribution was highest off southeastern Florida (as high as 82.8% for females in winter 2001−02) and lowest off southwestern Florida (as low as 14.5% for females in winter 2002−03). Overall, results provided evidence that the Atlantic stock contributes a certain, and perhaps a significant (i.e., ≥50%), percentage of landings taken in the management-defined winter mixing zone off south Florida, and the practice of assigning all winter mixing zone landings to the GOM stock should

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A distribuição da biodiversidade está associada aos fatores espaciais, ambientais e biológicos. Esses fatores influenciam a dinâmica das comunidades biológicas, gerando diferenças na distribuição e na abundância de espécies em escalas local e regional, além de criarem variações nos processos populacionais e nos deslocamentos dos animais. Um exemplo é a variação na distribuição e estrutura das comunidades de aves em gradientes altitudinais. Entretanto, não há um consenso sobre o padrão de distribuição da biodiversidade nesses gradientes, sendo reconhecidos quatro padrões de distribuição altitudinal de aves. Nesse contexto, a presente tese teve como objetivo geral estudar algumas das respostas ecológicas das aves à altitude. No primeiro capítulo, avaliamos o conhecimento sobre as migrações altitudinais de aves por meio por meio de uma revisão da literatura científica. Encontramos 84 estudos, a maioria na região Neotropical. Nesses estudos, constatamos 380 espécies de aves que realizam essas migrações, sendo insetívoros e nectarívoros os principais grupos tróficos envolvidos. Esses estudos também mostram que fatores bióticos e abióticos podem interagir para explicar as migrações altitudinais. Os deslocamentos para altitudes mais elevadas podem ser explicados principalmente pela disponibilidade de recursos e o menor risco de predação. Enquanto que os deslocamentos para baixas altitudes podem se relacionar, principalmente, às limitadas oportunidades de forrageamento e à competição. No segundo capítulo analisamos a distribuição regional de beija-flores na Mata Atlântica, por meio do uso de mapas de distribuição de mapas distribuição e informações disponíveis na literatura. de mapas distribuição e informações disponíveis na literatura. de mapas distribuição e informações disponíveis na literatura. de mapas distribuição e informações disponíveis na literatura. de mapas distribuição e informações disponíveis na literatura. de mapas distribuição e informações disponíveis na literatura. de mapas distribuição e informações disponíveis na literatura. de mapas distribuição e informações disponíveis na literatura. de mapas distribuição e informações disponíveis na literatura. de mapas distribuição e informações disponíveis na literatura. de mapas distribuição e informações disponíveis na literatura. de mapas distribuição e informações disponíveis na literatura. de mapas distribuição e informações disponíveis na literatura. de mapas distribuição e informações disponíveis na literatura. de mapas distribuição e informações disponíveis na literatura. de mapas distribuição e informações disponíveis na literatura. Encontramos variações na composição das espécies de beija-flores em relação à altitude, mas, um conjunto de fatores pode explicar essas variações na composição. Nossos resultados mostraram que além da variaçãovariação altitudinal, variação altitudinal, variação altitudinal, variação altitudinal, o efeito do componente espacial (latitude e longitude) e das variáveis ambientais correlacionadas a ele foram importantes na distribuição das aves nas áreas nas áreas estudadas. No terceiro capítulo, estudamos, estudamos a distribuição altitudinal das aves (e de beija-flores) de sub-bosque em cinco altitudes na Reserva Ecológica de Guapiaçu (170 e 370 m) contígua ao Parque Estadual dos Três Picos (570, 770 e 1.000 m), no estado do Rio de Janeiro. Coletamos dados bimestralmente (julho/2010 a junho/2011) e mensalmente (agosto/2011 a julho/2012). Utilizamos o método de captura-marcação-recaptura com dez redes de neblina (12 x 2,5 m, malha de 32 mm) expostas no sub-bosque por sete horas/dia em cada ponto amostral por campanha. Observamos também os beija-flores no sub-bosque, mensalmente, em transecções lineares (400 m de extensão). Capturamos 95 espécies de aves (53% endêmicas de Mata Atlântica), incluindo 10 espécies de beija-flores (oito endêmicos). Detectamos a maior riqueza em 770 m e a menor em 170 m de altitude. Não encontramos relação entre a riqueza das aves e a altitude. Entretanto, encontramos diferenças na composição, riqueza, abundância e na organização trófica das aves nas cinco altitudes amostradas, sendo 170 m, frequentemente, diferente das demais altitudes. Para os beija-flores amostrados com as duas metodologias (captura e observação; 13 espécies), não encontramos diferenças na composição e riqueza nas cinco altitudes. A diversidade e os elevados endemismos registrados na área ressaltam a importância da região para as aves da Mata Atlântica e para preservação dessas no estado do Rio de Janeiro.

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Longline fisheries have grown throughout the world’s oceans for more than 40 years. This type of fisheries has captured high-quality fish (mature individuals rather than unwanted juveniles), has had minimal destructive effects on bottom habitats, and has produced a low bycatch of nontargeted fish (Brothers et al., 1999). Seabirds, however, are hooked accidentally when they swallow or are snagged on the baited hooks set by commercial longline crews (Brothers, 1991; Barnes et al., 1997; Tasker et al., 2000; Belda and Sanchez 2001; Jahncke et al., 2001

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World Conference on Psychology and Sociology 2012

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Data from ichthyoplankton surveys conducted in 1972 and from 1977 to 1999 (no data were collected in 1980) by the Alaska Fisheries Science Center (NOAA, NMFS) in the western Gulf of Alaska were used to examine the timing of spawning, geographic distribution and abundance, and the vertical distribution of eggs and larvae of flathead sole (Hippoglossoides elassodon). In the western Gulf of Alaska, flathead sole spawning began in early April and peaked from early to mid-May on the continental shelf. It progressed in a southwesterly direction along the Alaska Peninsula where three main areas of flathead sole spawning were indentified: near the Kenai Peninsula, in Shelikof Strait, and between the Shumagin Islands and Unimak Island. Flathead sole eggs are pelagic, and their depth distribution may be a function of their developmental stage. Data from MOCNESS tows indicated that eggs sink near time of hatching and the larvae rise to the surface to feed. The geographic distribution of larvae followed a pattern similar to the distribution of eggs, only it shifted about one month later. Larval abundance peaked from early to mid-June in the southern portion of Shelikof Strait. Biological and environmental factors may help to retain flathead sole larvae on the continental shelf near their juvenile nursery areas.