Integrating multivariate conditionally autoregressive spatial priors into recursive bivariate models for analyzing environmental sensitivity of mussels
Tài liệu tham khảo
Austin, 2007, Species distribution models and ecological theory: A critical assessment and some possible new approaches, Ecol. Modell., 200, 1, 10.1016/j.ecolmodel.2006.07.005
Blanchette, 2007, Distribution, abundance, size and recruitment of the mussel, Mytilus californianus, across a major oceanographic and biogeographic boundary at Point Conception, California, USA, J. Exp. Mar. Biol. Ecol., 340, 268, 10.1016/j.jembe.2006.09.014
Bollen, 1989
Broitman, 2005, Recruitment of intertidal invertebrates and oceanographic variability at Santa Cruz Island, California, Limnol. Oceanogr., 50, 1473, 10.4319/lo.2005.50.5.1473
Caballero, G., Garza, M.D., Varela, M., 2008. The governance of mussel production in Galicia: an institutional analysis. In: The European Association of Fisheries Economists Conference.
Caceres-Martinez, 1998, Long-term survey on wild and cultured mussels (Mytilus galloprovincialis) reproductive cycles in the Ria de Vigo (NW Spain), Aquaculture, 162, 141, 10.1016/S0044-8486(98)00210-5
Cesar Aldariz, J., 2000. Species associated with rocky-shore in Galicia (NW Spain), Santiago de Compostela, Ph.D. thesis.
Dame, 2011
Erlandsson, 2004, Spatial structure of recruitment in the mussel Perna perna at local scales: effects of adults, algae and recruit size, Mar. Ecol. Prog. Ser., 267, 173, 10.3354/meps267173
Erlandsson, 2005, Contrasting spatial heterogeneity of sessile organisms within mussel (Perna perna L.) beds in relation to topographic variability, J. Exp. Mar. Biol. Ecol., 314, 79, 10.1016/j.jembe.2004.09.010
Gaylord, 2000, Biological implications of surf-zone complexity, Limnol. Oceanogr., 45, 174, 10.4319/lo.2000.45.1.0174
Gelfand, 2003, Proper multivariate conditional autoregressive models for spatial data analysis, Biostatistics, 4, 11, 10.1093/biostatistics/4.1.11
Greene, 2003
Hoffmann, 2012, Spatio-temporal patterns of larval supply and settlement of intertidal invertebrates reflect a combination of passive transport and larval behavior, J. Exp. Mar. Biol. Ecol., 418, 83, 10.1016/j.jembe.2012.03.008
Klein, 2016, Simultaneous inference in structured additive conditional copula regression models: a unifying Bayesian approach, Stat. Comput., 26, 841, 10.1007/s11222-015-9573-6
Klein, 2015, Bayesian generalized additive models for location, scale, and shape for zero-inflated and overdispersed count data, J. Amer. Statist. Assoc., 110, 405, 10.1080/01621459.2014.912955
Labarta, 2005, Response of mussel recruits to pollution from the prestige oil spill along the Galician coast. A biochemical approach, Mar. Ecol. Prog. Ser., 302, 135, 10.3354/meps302135
Mardia, 1988, Multi-dimensional multivariate Gaussian Markov random elds with application to image processing, Journal of Multivariate Analysis, 24, 265, 10.1016/0047-259X(88)90040-1
McQuaid, 1998, Regionalism in marine biology: the convergence of ecology, economics and politics in South Africa, S. Afr. J. Sci., 94, 433
Menge, 1987, Community regulation: variation in disturbance, competition, and predation in relation to environmental stress and recruitment, Am. Nat., 130, 730, 10.1086/284741
Neelon, 2014, A spatial bivariate probit model for correlated binary data with application to adverse birth outcomes, Stat. Methods Med. Res., 23, 119, 10.1177/0962280212447149
Pata, M.P., 2015. Spatio-temporal modelling of mussel seed recruitment through Structured Additive Regression Models, Santiago de Compostela, Ph.D. thesis.
Pata, 2012, Categorical structured additive regression for assessing habitat suitability in the spatial distribution of mussel seed abundance, Environmetrics, 23, 75, 10.1002/env.1140
Peteiro, 2007, Settlement and recruitment patterns of Mytilus galloprovincialis L. in the Ria de Ares-Betanzos (NW Spain) in the years 2004/2005, Aquacult. Res., 38, 957, 10.1111/j.1365-2109.2007.01757.x
Pfaff, 2011, Upwelling intensity and wave action determine recruitment of intertidal mussels and barnacles in the Southern Benguela upwelling region, Mar. Ecol. Prog. Ser., 425, 141, 10.3354/meps09003
Phillips, 2006, Long-term survey on wild and cultured mussels (Natural variability in size and condition at settlement of three species of marine invertebrates), Integr. Comp. Biol., 64, 598, 10.1093/icb/icl008
Plummer, M., 2016. rjags: Bayesian Graphical Models using MCMC. https://CRAN.R-project.org/package=rjags R package version 4-6.
R Core Team, 2016
Reaugh-Flower, 2011, Scale-dependent patterns and processes of intertidal mussel recruitment around southern Africa, Mar. Ecol. Prog. Ser., 434, 101, 10.3354/meps09169
Rue, 2005, vol. 104
Simkanin, 2005, Using historical data to detect temporal changes in the abundances of intertidalspecies on Irish shores, Journal of Marine Biological Association UK, 85, 1329, 10.1017/S0025315405012506
Smith, 2009, Spatial patterns in recruitment and growth of the mussel Mytilus californianus (Conrad) in southern and northern California, USA, two regions with differing oceanographic conditions, J. Sea Res., 61, 165, 10.1016/j.seares.2008.10.009
Sutherland, 2006
Thaden, H., 2017. General Multivariate Effect Priors in Recursive Bivariate Gaussian Models, Zentrum Für Statistik, Universität Göttingen, Working Paper Series, https://Www.Uni-Goettingen.De/De/13_Thaden_02_2017/558175.html.
Underwood, 2000, Observations in ecology: you cant make progress on processes without understanding the patterns, J. Exp. Mar. Biol. Ecol., 250, 97, 10.1016/S0022-0981(00)00181-7
Wooldridge, 2002
Wright, 1918, On the nature of size factors, Genetics, 3, 367