Ecological informatics as an advanced interdisciplinary interpretation of ecosystems

被引:13
作者
Chon, Tae-Soo [1 ]
Park, Young-Seuk
机构
[1] Pusan Natl Univ, Div Biol Sci, Pusan 609735, South Korea
[2] Kyung Hee Univ, Dept Biol, Seoul 130701, South Korea
关键词
D O I
10.1016/j.ecoinf.2006.02.007
中图分类号
Q14 [生态学(生物生态学)];
学科分类号
071012 ; 0713 ;
摘要
引用
收藏
页码:213 / 217
页数:5
相关论文
共 79 条
[1]  
ACKLEY DH, 1985, COGNITIVE SCI, V9, P147
[2]   Results of Bayesian methods depend on details of implementation: An example of estimating salmon escapement goals [J].
Adkison, MD ;
Peterman, RM .
FISHERIES RESEARCH, 1996, 25 (02) :155-170
[3]  
Akkermans W., 2005, P411, DOI 10.1007/3-540-26894-4_35
[4]  
[Anonymous], 1994, NEURAL NETWORKS
[5]  
[Anonymous], ECOLOGICAL INFORM
[6]   Cellular automata models for vegetation dynamics [J].
Balzter, H ;
Braun, PW ;
Kohler, W .
ECOLOGICAL MODELLING, 1998, 107 (2-3) :113-125
[7]   An improved cellular automaton model for simulating fire in a spatially heterogeneous Savanna system [J].
Berjak, SG ;
Hearne, JW .
ECOLOGICAL MODELLING, 2002, 148 (02) :133-151
[8]   Natural variability of benthic species composition in the Delaware Bay [J].
Billheimer, D ;
Cardoso, T ;
Freeman, E ;
Guttorp, P ;
Ko, HW ;
Silkey, M .
ENVIRONMENTAL AND ECOLOGICAL STATISTICS, 1997, 4 (02) :95-115
[9]   Knowledge discovery for prediction and explanation of blue-green algal dynamics in lakes by evolutionary algorithms [J].
Bobbin, J ;
Recknagel, F .
ECOLOGICAL MODELLING, 2001, 146 (1-3) :253-262
[10]   A fuzzy-constrained cellular automata model of forest insect infestations [J].
Bone, C ;
Dragicevic, S ;
Roberts, A .
ECOLOGICAL MODELLING, 2006, 192 (1-2) :107-125