| 来源类型 | Conference or Workshop Item (Paper) |
| 规范类型 | 其他 |
| Predicting plants – modeling traits as a function of environment. | |
| Franklin O | |
| 发表日期 | 2016 |
| 出处 | European Geosciences Union (EGU) General Assembly 2016, 17–22 April 2016, Vienna, Austria |
| 出版年 | 2016 |
| 语种 | 英语 |
| 摘要 | A central problem in understanding and modeling vegetation dynamics is how to represent the variation in plant properties and function across different environments. Addressing this problem there is a strong trend towards trait-based approaches, where vegetation properties are functions of the distributions of functional traits rather than of species. Recently there has been enormous progress in in quantifying trait variability and its drivers and effects (Van Bodegom et al. 2012; Adier et al. 2014; Kunstler et al. 2015) based on wide ranging datasets on a small number of easily measured traits, such as specific leaf area (SLA), wood density and maximum plant height. |
| 主题 | Ecosystems Services and Management (ESM) |
| URL | http://pure.iiasa.ac.at/id/eprint/12574/ |
| 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/132624 |
| 推荐引用方式 GB/T 7714 | Franklin O. Predicting plants – modeling traits as a function of environment.. 2016. |
| 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 | ||
| EGU2016-8785.pdf（34KB） | 智库出版物 | 限制开放 | CC BY-NC-SA | 浏览 | ||
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