共 94 条
Fitting population models from field data
被引:18
作者:
Emlen, JM
[1
]
Freeman, DC
Kirchhoff, MD
Alados, CL
Escos, J
Duda, JJ
机构:
[1] US Geol Survey, Biol Resources Div, Western Fisheries Res Ctr, 6506 NE 65th St, Seattle, WA 98115 USA
[2] Wayne State Univ, Dept Biol Sci, Detroit, MI 48202 USA
[3] Alaska Dept Fish & Game, Douglas, AK 99824 USA
[4] Inst Pirena Ecol, E-50080 Zaragoza, Spain
关键词:
population models;
prediction;
interaction;
D O I:
10.1016/S0304-3800(02)00390-3
中图分类号:
Q14 [生态学(生物生态学)];
学科分类号:
071012 ;
0713 ;
摘要:
The application of population and community ecology to solving real-world problems requires population and community dynamics models that reflect the myriad patterns of interaction among organisms and between the biotic and physical environments. Appropriate models are not hard to construct, but the experimental manipulations needed to evaluate their defining coefficients are often both time consuming and costly, and sometimes environmentally destructive, as well. In this paper we present an empirical approach for finding the coefficients of broadly inclusive models without the need for environmental manipulation, demonstrate the approach with both an animal and a plant example, and suggest possible applications. Software has been developed, and is available from the senior author, with a manual describing both field and analytic procedures. Published by Elsevier Science B.V.
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页码:119 / 143
页数:25
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