Trends and cohort resonant effects in age-structured populations

被引:88
作者
Bjornstad, ON [1 ]
Nisbet, RM
Fromentin, JM
机构
[1] Penn State Univ, Dept Entomol, State Coll, PA 16802 USA
[2] Penn State Univ, Dept Biol, State Coll, PA 16802 USA
[3] Univ Calif Santa Barbara, Dept Ecol Evolut & Marine Biol, Santa Barbara, CA 93106 USA
[4] IFREMER, Ctr Rech Halieut Mediterranden & Trop, F-34203 Sete, France
关键词
environmental stochasticity; fish populations; stochastic age-structured dynamics; stock-recruitment; transfer functions; trends;
D O I
10.1111/j.0021-8790.2004.00888.x
中图分类号
Q14 [生态学(生物生态学)];
学科分类号
071012 ; 0713 ;
摘要
1. Trends and fluctuations in populations are determined by complex interactions between extrinsic forcing and intrinsic dynamics. As an example, the dynamics of many marine fish are characterized by age-structured dynamics forced by stochastic recruitment. 2. In this study we develop stochastic age-structured models for two case studies, the Atlantic bluefin tuna and the Atlantic cod. The former exemplifies intracohort interactions and density-dependent reproduction, the latter exemplifies density-dependent survival and intercohort interactions. 3. We use transfer functions and delay-coordinate models to study how the combination of age-structured interactions and stochastic recruitment can induce low-frequency variability. 'Cohort resonance', as we dub this effect, can induce apparent trends in abundance and may be common in age-structured populations. 4. Our study complements the theory of structured populations that focuses on cycles and chaos (high-frequency dynamics). 5. The innate low-frequency fluctuations we describe can potentially mimic or cloak critical variation in abundance linked to environmental change, over-exploitation or other types of anthropogenic forcing. 6. From a management and conservation viewpoint, it will be important to find ways to separate anthropogenic forcing from cohort resonant effects and/or to understand the way they interact.
引用
收藏
页码:1157 / 1167
页数:11
相关论文
共 61 条
[1]   MARKOVIAN REPRESENTATION OF STOCHASTIC-PROCESSES AND ITS APPLICATION TO ANALYSIS OF AUTOREGRESSIVE MOVING AVERAGE PROCESSES [J].
AKAIKE, H .
ANNALS OF THE INSTITUTE OF STATISTICAL MATHEMATICS, 1974, 26 (03) :363-387
[2]  
[Anonymous], 1992, ANAL POPULATION ECOL
[3]  
Aoki M., 1991, ECONOMET REV, V10, P1, DOI DOI 10.1080/07474939108800194
[4]   The impact of specialized enemies on the dimensionality of host dynamics [J].
Bjornstad, ON ;
Sait, SM ;
Stenseth, NC ;
Thompson, DJ ;
Begon, M .
NATURE, 2001, 409 (6823) :1001-1006
[5]   GEOGRAPHIC GRADIENT IN SMALL RODENT DENSITY-FLUCTUATIONS - A STATISTICAL MODELING APPROACH [J].
BJORNSTAD, ON ;
FALCK, W ;
STENSETH, NC .
PROCEEDINGS OF THE ROYAL SOCIETY B-BIOLOGICAL SCIENCES, 1995, 262 (1364) :127-133
[6]   Cycles and trends in cod populations [J].
Bjornstad, ON ;
Fromentin, JM ;
Stenseth, NC ;
Gjosæter, J .
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 1999, 96 (09) :5066-5071
[7]   Noisy clockwork: Time series analysis of population fluctuations in animals [J].
Bjornstad, ON ;
Grenfell, BT .
SCIENCE, 2001, 293 (5530) :638-643
[8]  
Bjornstad ON, 1999, ECOLOGY, V80, P1278
[9]  
Caswell H., 2000, Matrix population models, V1
[10]   UNEXPECTED DOMINANCE OF HIGH-FREQUENCIES IN CHAOTIC NONLINEAR POPULATION-MODELS [J].
COHEN, JE .
NATURE, 1995, 378 (6557) :610-612