Spatio-temporal modeling of benthic biological species

被引：1
作者：
Axis-Arroyo, J
Mateu, J
机构：
[1] Univ Jaume 1, Dept Math, E-12071 Castellon de La Plana, Spain
[2] IPN Unidad Merida, Ctr Invest & Estudios Avanzados, Merida 97310, Yucatan, Mexico
来源：
JOURNAL OF ENVIRONMENTAL MANAGEMENT | 2004年 / 71卷 / 01期
关键词：
Bayesian; ordinary and universal kriging; benthic biological species; environmental impact management; Gaussian spatial linear mixed model;
D O I：
10.1016/j.jenvman.2004.01.008
中图分类号：
X [环境科学、安全科学];
学科分类号：
08 ; 0830 ;
摘要：
The spatial and temporal distribution of the number of benthic species located in an important area under ecological stress (Puerto CALICA, Quintana Roo, Mexico) is analyzed by means of Gaussian Spatial Linear Mixed Models. Following a model-based approach we derive spatial predictions taking into account temporal variations between May 1996 and June 1999. The proposed models were evaluated in terms of their ability to detect the underlying spatial structure for further interpolation. Uncertainty in the prediction could be evaluated by using the Bayesian paradigm. The results can be used as a guide for further environmental management policies in the region. (C) 2004 Published by Elsevier Ltd.
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收藏
页码：67 / 77
页数：11
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