Incorporating Biotic Information in Species Distribution Models: A Coregionalized Approach

被引:5
作者
Barber, Xavier [1 ,6 ,7 ]
Conesa, David [2 ,6 ,7 ]
Lopez-Quilez, Antonio [2 ,6 ,7 ]
Martinez-Minaya, Joaquin [3 ,6 ,7 ]
Paradinas, Iosu [4 ,6 ,8 ]
Pennino, Maria Grazia [5 ,6 ]
机构
[1] Univ Miguel Hernandez, Ctr Operat Res CIO, Elche 03202, Spain
[2] Univ Valencia, Dept Stat & Operat Res, Valencia 46100, Spain
[3] Basque Ctr Appl Math BCAM, Data Sci Area, E-48009 Bilbao, Spain
[4] Univ St Andrews, Scottish Oceans Inst, St Andrews KY16 9AJ, Fife, Scotland
[5] Inst Espanol Oceanog, Ctr Oceanog Vigo, Subida Radio Faro 50-52, Vigo 36390, Spain
[6] Stat Modeling Ecol Grp SMEG, Valencia, Spain
[7] Valencia Bayesian Res Grp VaBaR, C Dr Moliner 50, Valencia 46100, Spain
[8] Asociac Ipar Perspect, Karabiondo kalea 14, Sopela 48600, Spain
关键词
Bayesian hierarchical models; coregionalized models; fisheries; INLA; predation; SPDE; species interaction; RANDOM-FIELDS; PREDICTION; SPACE;
D O I
10.3390/math9040417
中图分类号
O1 [数学];
学科分类号
0701 ; 070101 ;
摘要
In this work, we discuss the use of a methodological approach for modelling spatial relationships among species by means of a Bayesian spatial coregionalized model. Inference and prediction is performed using the integrated nested Laplace approximation methodology to reduce the computational burden. We illustrate the performance of the coregionalized model in species interaction scenarios using both simulated and real data. The simulation demonstrates the better predictive performance of the coregionalized model with respect to the univariate models. The case study focus on the spatial distribution of a prey species, the European anchovy (Engraulis encrasicolus), and one of its predator species, the European hake (Merluccius merluccius), in the Mediterranean sea. The results indicate that European hake and anchovy are positively associated, resulting in improved model predictions using the coregionalized model.
引用
收藏
页码:1 / 12
页数:12
相关论文
共 44 条
  • [41] Mutualism influences species distribution predictions for a bromeliad-breeding anuran under climate change
    Vasconcelos, Tiago Silveira
    Antonelli, Caio Pastana
    Napoli, Marcelo Felgueiras
    [J]. AUSTRAL ECOLOGY, 2017, 42 (07) : 869 - 877
  • [42] Watanabe S, 2010, J MACH LEARN RES, V11, P3571
  • [43] The role of biotic interactions in shaping distributions and realised assemblages of species: implications for species distribution modelling
    Wisz, Mary Susanne
    Pottier, Julien
    Kissling, W. Daniel
    Pellissier, Loic
    Lenoir, Jonathan
    Damgaard, Christian F.
    Dormann, Carsten F.
    Forchhammer, Mads C.
    Grytnes, John-Arvid
    Guisan, Antoine
    Heikkinen, Risto K.
    Hoye, Toke T.
    Kuehn, Ingolf
    Luoto, Miska
    Maiorano, Luigi
    Nilsson, Marie-Charlotte
    Normand, Signe
    Ockinger, Erik
    Schmidt, Niels M.
    Termansen, Mette
    Timmermann, Allan
    Wardle, David A.
    Aastrup, Peter
    Svenning, Jens-Christian
    [J]. BIOLOGICAL REVIEWS, 2013, 88 (01) : 15 - 30
  • [44] Do joint species distribution models reliably detect interspecific interactions from co-occurrence data in homogenous environments?
    Zurell, Damaris
    Pollock, Laura J.
    Thuiller, Wilfried
    [J]. ECOGRAPHY, 2018, 41 (11) : 1812 - 1819