Predicting the spatio-temporal distributions of pelagic sharks in the western and central North Pacific
出版年份 2017 全文链接
标题
Predicting the spatio-temporal distributions of pelagic sharks in the western and central North Pacific
作者
关键词
-
出版物
FISHERIES OCEANOGRAPHY
Volume 26, Issue 5, Pages 569-582
出版商
Wiley
发表日期
2017-03-24
DOI
10.1111/fog.12217
参考文献
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- (2016) Seiji Ohshimo et al. FISHERIES OCEANOGRAPHY
- Migration, distribution and population (stock) structure of shallow-water hake ( Merluccius capensis ) in the Benguela Current Large Marine Ecosystem inferred using a geostatistical population model
- (2016) Teunis Jansen et al. FISHERIES RESEARCH
- Relative abundance trend of the blue shark Prionace glauca based on Japanese distant-water and offshore longliner activity in the North Pacific
- (2016) Yuko Hiraoka et al. FISHERIES SCIENCE
- Spatial delay-difference models for estimating spatiotemporal variation in juvenile production and population abundance
- (2015) James T. Thorson et al. CANADIAN JOURNAL OF FISHERIES AND AQUATIC SCIENCES
- Applying Bayesian spatiotemporal models to fisheries bycatch in the Canadian Arctic
- (2015) Aurelie Cosandey-Godin et al. CANADIAN JOURNAL OF FISHERIES AND AQUATIC SCIENCES
- Using spatiotemporal species distribution models to identify temporally evolving hotspots of species co-occurrence
- (2015) Eric J. Ward et al. ECOLOGICAL APPLICATIONS
- The importance of spatial models for estimating the strength of density dependence
- (2015) James T. Thorson et al. ECOLOGY
- Geostatistical delta-generalized linear mixed models improve precision for estimated abundance indices for West Coast groundfishes
- (2015) James T. Thorson et al. ICES JOURNAL OF MARINE SCIENCE
- Growth and spatiotemporal distribution of juvenile shortfin mako (Isurus oxyrinchus) in the western and central North Pacific
- (2015) M. Kai et al. MARINE AND FRESHWATER RESEARCH
- Potential habitat for chum salmon (Oncorhynchus keta) in the Western Arctic based on a bioenergetics model coupled with a three-dimensional lower trophic ecosystem model
- (2015) Seokjin Yoon et al. PROGRESS IN OCEANOGRAPHY
- Spatial semiparametric models improve estimates of species abundance and distribution
- (2014) Andrew Olaf Shelton et al. CANADIAN JOURNAL OF FISHERIES AND AQUATIC SCIENCES
- Modelling the variability in fish spatial distributions over time with empirical orthogonal functions: anchovy in the Bay of Biscay
- (2014) Pierre Petitgas et al. ICES JOURNAL OF MARINE SCIENCE
- Quantifying the impact of environmental variables upon catch per unit effort of the blue sharkPrionace glaucain the western English Channel
- (2014) J. D. Mitchell et al. JOURNAL OF FISH BIOLOGY
- Reducing Bias and Filling in Spatial Gaps in Fishery-Dependent Catch-per-Unit-Effort Data by Geostatistical Prediction, I. Methodology and Simulation
- (2014) John F. Walter et al. NORTH AMERICAN JOURNAL OF FISHERIES MANAGEMENT
- A Statistical Model for Estimation of Fish Density Including Correlation in Size, Space, Time and between Species from Research Survey Data
- (2014) J. Rasmus Nielsen et al. PLoS One
- Estimating spatio-temporal dynamics of size-structured populations
- (2013) Kasper Kristensen et al. CANADIAN JOURNAL OF FISHERIES AND AQUATIC SCIENCES
- The market value of freshness: observations from the swordfish and blue shark longline fishery
- (2013) Gakushi Ishimura et al. FISHERIES SCIENCE
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- (2013) S.-i. Ito et al. ICES JOURNAL OF MARINE SCIENCE
- Fishing ground hotspots reveal long-term variation in chub mackerel Scomber japonicus habitat in the East China Sea
- (2013) T Yasuda et al. MARINE ECOLOGY PROGRESS SERIES
- Signature of ocean warming in global fisheries catch
- (2013) William W. L. Cheung et al. NATURE
- Seasonal Variation in the Spatial Distribution of Basking Sharks (Cetorhinus maximus) in the Lower Bay of Fundy, Canada
- (2013) Zachary A. Siders et al. PLoS One
- Population Trends in Pacific Oceanic Sharks and the Utility of Regulations on Shark Finning
- (2012) Shelley C. Clarke et al. CONSERVATION BIOLOGY
- Thermal habitat for 0-group fish in the Barents Sea; how climate variability impacts their density, length, and geographic distribution
- (2012) E. Eriksen et al. ICES JOURNAL OF MARINE SCIENCE
- Habitat suitability analysis and identification of potential fishing grounds for swordfish, Xiphias gladius, in the South Atlantic Ocean
- (2012) Yi-Jay Chang et al. INTERNATIONAL JOURNAL OF REMOTE SENSING
- Identifying and mapping local bycatch hotspots of loggerhead sea turtles using a GIS-based method: implications for conservation
- (2012) Giulia Cambiè et al. MARINE BIOLOGY
- Spatial Dynamics and Expanded Vertical Niche of Blue Sharks in Oceanographic Fronts Reveal Habitat Targets for Conservation
- (2012) Nuno Queiroz et al. PLoS One
- Phase Shift in an Estuarine Finfish Community Associated with Warming Temperatures
- (2012) Penelope Howell et al. Marine and Coastal Fisheries
- Using the negative binomial distribution to model overdispersion in ecological count data
- (2011) Andreas Lindén et al. ECOLOGY
- Integrating imputation and standardization of catch rate data in the calculation of relative abundance indices
- (2011) Thomas R. Carruthers et al. FISHERIES RESEARCH
- Modelling the impacts of environmental variation on the distribution of blue marlin, Makaira nigricans, in the Pacific Ocean
- (2011) N.-J. Su et al. ICES JOURNAL OF MARINE SCIENCE
- Spatial predictions of blue shark (Prionace glauca) catch rate and catch probability of juveniles in the Southwest Atlantic
- (2011) F. C. Carvalho et al. ICES JOURNAL OF MARINE SCIENCE
- An explicit link between Gaussian fields and Gaussian Markov random fields: the stochastic partial differential equation approach
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- (2010) S. Greven et al. BIOMETRIKA
- The effect of climate change on the growth of Japanese chum salmon (Oncorhynchus keta) using a bioenergetics model coupled with a three-dimensional lower trophic ecosystem model (NEMURO)
- (2010) Michio J. Kishi et al. DEEP-SEA RESEARCH PART II-TOPICAL STUDIES IN OCEANOGRAPHY
- Spatio-temporal management of fisheries to reduce by-catch and increase fishing selectivity
- (2010) Daniel C Dunn et al. FISH AND FISHERIES
- Geostatistical inference under preferential sampling
- (2010) Peter J. Diggle et al. JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES C-APPLIED STATISTICS
- Short-term movements and diving behaviour of satellite-tracked blue sharks Prionace glauca in the northeastern Atlantic Ocean
- (2010) N Queiroz et al. MARINE ECOLOGY PROGRESS SERIES
- Sexual segregation of pelagic sharks and the potential threat from fisheries
- (2009) G. R Mucientes et al. Biology Letters
- Large-scale redistribution of maximum fisheries catch potential in the global ocean under climate change
- (2009) WILLIAM W. L. CHEUNG et al. GLOBAL CHANGE BIOLOGY
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- Satellite tagging of blue sharks (Prionace glauca) and other pelagic sharks off eastern Australia: depth behaviour, temperature experience and movements
- (2009) John D. Stevens et al. MARINE BIOLOGY
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