Adaptation in stochastic environments
著者
書誌事項
Adaptation in stochastic environments
(Lecture notes in biomathematics, 98)
Springer-Verlag, c1993
- : gw
- : us
- タイトル別名
-
Stochastic environments
大学図書館所蔵 全33件
  青森
  岩手
  宮城
  秋田
  山形
  福島
  茨城
  栃木
  群馬
  埼玉
  千葉
  東京
  神奈川
  新潟
  富山
  石川
  福井
  山梨
  長野
  岐阜
  静岡
  愛知
  三重
  滋賀
  京都
  大阪
  兵庫
  奈良
  和歌山
  鳥取
  島根
  岡山
  広島
  山口
  徳島
  香川
  愛媛
  高知
  福岡
  佐賀
  長崎
  熊本
  大分
  宮崎
  鹿児島
  沖縄
  韓国
  中国
  タイ
  イギリス
  ドイツ
  スイス
  フランス
  ベルギー
  オランダ
  スウェーデン
  ノルウェー
  アメリカ
注記
Papers from a workshop held at the Second International Congress of the European Society for Evolutionary Biology, held in Debrecen, Hungary, Sept. 3-4, 1991
Includes bibliographical references
内容説明・目次
内容説明
The classical theory of natural selection, as developed by Fisher, Haldane, and 'Wright, and their followers, is in a sense a statistical theory. By and large the classical theory assumes that the underlying environment in which evolution transpires is both constant and stable - the theory is in this sense deterministic. In reality, on the other hand, nature is almost always changing and unstable. We do not yet possess a complete theory of natural selection in stochastic environ ments. Perhaps it has been thought that such a theory is unimportant, or that it would be too difficult. Our own view is that the time is now ripe for the development of a probabilistic theory of natural selection. The present volume is an attempt to provide an elementary introduction to this probabilistic theory. Each author was asked to con tribute a simple, basic introduction to his or her specialty, including lively discussions and speculation. We hope that the book contributes further to the understanding of the roles of "Chance and Necessity" (Monod 1971) as integrated components of adaptation in nature.
目次
Introduction: Historical Remarks.- Fitness in Random Environments.- Density Dependent Life History Evolution in Fluctuating Environments.- Life History Evolution and Population Dynamics in Variable Environments: Some Insights from Stochastic Demography.- Plasticity in Fluctuating Environments.- Optimization and ESS Analysis for Populations in Stochastic Environments.- Are Variable Environments Stochastic? A Review of Methods to Quantify Environmental Predictability.- Modeling Selection on Conditional Strategies in Stochastic Environments.- Coexistence in Stochastic Environments Through a Life History Trade Off in Drosophila.- The Equilibrium Distribution of Optimal Search and Sampling Effort of Foraging Animals in Patchy Environments.- List of Contributors.
「Nielsen BookData」 より