Multi-decadal distribution changes of commercially important demersal species in the central-western Sea of Japan based on a multi-species spatiotemporal model

[1]  S. Ohshimo,et al.  Spatiotemporal changes in demersal fish habitats suggest potential impacts of fishing pressure: A case study of yellow seabream Dentex hypselosomus in the East China Sea , 2020 .

[2]  S. Campana,et al.  Shifting fish distributions in warming sub-Arctic oceans , 2020, Scientific Reports.

[3]  Cody S. Szuwalski,et al.  Historical dynamics of the demersal fish community in the East and South China Seas , 2020 .

[4]  Motomitsu Takahashi,et al.  Disentangling the effects of climate and density-dependent factors on spatiotemporal dynamics of Japanese sardine spawning , 2020 .

[5]  T. Goto,et al.  Delineating management units for Pacific cod (Gadus macrocephalus) in the Sea of Japan , 2019, Estuarine, Coastal and Shelf Science.

[6]  M. Fujiwara,et al.  Climate-related factors cause changes in the diversity of fish and invertebrates in subtropical coast of the Gulf of Mexico , 2019, Communications Biology.

[7]  H. Okamura,et al.  Climate change shifts the spawning ground northward and extends the spawning period of chub mackerel in the western North Pacific , 2019, Marine Ecology Progress Series.

[8]  John F. Walter,et al.  Evaluation of the impacts of different treatments of spatio-temporal variation in catch-per-unit-effort standardization models , 2019, Fisheries Research.

[9]  Michael D. Drexler,et al.  Representing species distributions in spatially-explicit ecosystem models from presence-only data , 2019, Fisheries Research.

[10]  J. Thorson Guidance for decisions using the Vector Autoregressive Spatio-Temporal (VAST) package in stock, ecosystem, habitat and climate assessments , 2019, Fisheries Research.

[11]  S. Ohshimo,et al.  Long-term change in the distribution of Japanese sardine in the Sea of Japan during population fluctuations , 2018 .

[12]  K. Yokouchi,et al.  Interdecadal decrease in potential fishing areas for Pacific saury off the southeastern coast of Hokkaido, Japan , 2017 .

[13]  L. A. Barnett,et al.  Comparing estimates of abundance trends and distribution shifts using single- and multispecies models of fishes and biogenic habitat , 2017 .

[14]  J. Thorson,et al.  Geostatistical delta-generalized linear mixed models improve precision for estimated abundance indices for West Coast groundfishes , 2015 .

[15]  John F. Walter,et al.  Reducing Bias and Filling in Spatial Gaps in Fishery-Dependent Catch-per-Unit-Effort Data by Geostatistical Prediction, II. Application to a Scallop Fishery , 2014 .

[16]  T. Nishida,et al.  Comparison between univariate and bivariate geostatistical models for estimating catch per unit of effort (cpue): A simulation study , 2012 .

[17]  F. Jiguet,et al.  Selecting pseudo‐absences for species distribution models: how, where and how many? , 2012 .

[18]  J. Link,et al.  Guidelines for incorporating fish distribution shifts into a fisheries management context , 2011 .

[19]  Yongjun Tian,et al.  Interannual-decadal variability of demersal fish assemblages in the Tsushima Warm Current region of the Japan Sea: Impacts of climate regime shifts and trawl fisheries with implications for ecosystem-based management , 2011 .

[20]  M. Lindegren,et al.  Interacting trophic forcing and the population dynamics of herring. , 2011, Ecology.

[21]  S. Lucey,et al.  Shifting species assemblages in the Northeast US Continental Shelf Large Marine Ecosystem , 2010 .

[22]  Otso Ovaskainen,et al.  Modeling species co-occurrence by multivariate logistic regression generates new hypotheses on fungal interactions. , 2010, Ecology.

[23]  Nicholas A. Bond,et al.  A framework for modelling fish and shellfish responses to future climate change , 2009 .

[24]  B. MacKenzie,et al.  Impact of 21st century climate change on the Baltic Sea fish community and fisheries , 2007 .

[25]  S. Shirai,et al.  Population structure of the sailfin sandfish, Arctoscopus japonicus (Trichodontidae), in the Sea of Japan , 2006, Ichthyological Research.

[26]  A. Townsend Peterson,et al.  Novel methods improve prediction of species' distributions from occurrence data , 2006 .

[27]  J. Reynolds,et al.  Climate Change and Distribution Shifts in Marine Fishes , 2005, Science.

[28]  David G. Reid,et al.  Long-term increases in prevalence of North Sea fishes having southern biogeographic affinities , 2004 .

[29]  A. Punt,et al.  Standardizing catch and effort data: a review of recent approaches , 2004 .

[30]  G. Yohe,et al.  A globally coherent fingerprint of climate change impacts across natural systems , 2003, Nature.

[31]  O. Hoegh‐Guldberg,et al.  Ecological responses to recent climate change , 2002, Nature.

[32]  Ming Ji,et al.  An Improved Coupled Model for ENSO Prediction and Implications for Ocean Initialization. Part I: The Ocean Data Assimilation System , 1998 .

[33]  N. Breslow,et al.  Approximate inference in generalized linear mixed models , 1993 .

[34]  L. Jacobson,et al.  Indices of Relative Abundance from Fish Spotter Data based on Delta-Lognormal Models , 1992 .

[35]  S. Kakehi,et al.  Bottom temperature warming and its impact on demersal fish off the Pacific coast of northeastern Japan , 2021, Marine Ecology Progress Series.

[36]  Kumaki Yutaka,et al.  The effects of mesh size on black-throat seaperch Doederleinia berycoides size caught by bottom trawl , 2020 .

[37]  A. Sato,et al.  Genetic variation and local differences in Pacific cod Gadus macrocephalus around Japan. , 2017, Journal of fish biology.

[38]  Atsuyuki Ohta,et al.  Elemental distribution of surface sediments around Oki Trough including adjacent terrestrial area: Strong impact of Japan Sea Proper Water on silty and clayey sediments , 2015 .

[39]  T. Minami,et al.  Population dynamics and catch forecasts of sandfish Arctoscopus japonicus in the western Sea of Japan , 2006 .

[40]  Laurence T. Kell,et al.  Implications of climate change for the management of North Sea cod (Gadus morhua) , 2005 .

[41]  Y. Takeuchi,et al.  STANDARDIZED BLUEFIN CPUE FROM THE JAPANESE LONGLINE FISHERY IN THE ATLANTIC INCLUDING THOSE FOR MIXING STUDIES , 2003 .