| 来源类型 | Monograph (IIASA Interim Report) |
| 规范类型 | 报告 |
| Evolutionary Predictions Should be Based on Individual-Level Traits. | |
| Rueffler C; Egas M; Metz JAJ | |
| 发表日期 | 2006 |
| 出版者 | IIASA, Laxenburg, Austria: IR-06-074 |
| 出版年 | 2006 |
| 语种 | 英语 |
| 摘要 | Recent theoretical studies have analyzed the evolution of habitat specialization using either the logistic or the Ricker equation. These studies have implemented evolutionary change directly in population-level parameters such as habitat-specific intrinsic growth rates r or carrying capacities K. This approach is a shortcut to a more detailed analysis where evolutionary change is studied in underlying morphological, physiological, or behavioral traits at the level of the individual that contribute to r or K. Here we describe two pitfalls that can occur when such a shortcut is employed. First, population-level parameters that appear as independent variables in a population dynamical model might not be independent when derived from processes at the individual level. Second, patterns of covariation between individual-level traits are usually not conserved when mapped to the level of demographic parameters. Nonlinear mappings constrain the curvature of trade-offs that can sensibly be assumed at the population level. To illustrate these results, we derive a two-habitat version of the logistic and Ricker equations from individual-level processes and compare the evolutionary dynamics of habitat-specific carrying capacities with those of underlying individual-level traits contributing to the carrying capacities. Finally, we sketch how our viewpoint affects the results of earlier studies. |
| 主题 | Evolution and Ecology (EEP) |
| URL | http://pure.iiasa.ac.at/id/eprint/8025/ |
| 来源智库 | International Institute for Applied Systems Analysis (Austria) |
| 资源类型 | 智库出版物 |
| 条目标识符 | http://119.78.100.153/handle/2XGU8XDN/125484 |
| 推荐引用方式 GB/T 7714 | Rueffler C,Egas M,Metz JAJ. Evolutionary Predictions Should be Based on Individual-Level Traits.. 2006. |
| 条目包含的文件 | ||||||
| 文件名称/大小 | 资源类型 | 版本类型 | 开放类型 | 使用许可 | ||
| IR-06-074.pdf（1016KB） | 智库出版物 | 限制开放 | CC BY-NC-SA | 浏览 | ||
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