评论 "热带树种丰富和丰富的全球相关性拒绝中立性"
1Department of Geography, University of Hawaii, Honolulu, HI 96822, USA. cmora@hawaii.edu
概括
在孤立的树群之间共享的家族中的强烈相关性并不拒绝中立理论. 模拟表明随机物种化和灭绝可以产生这些模式,支持中立理论.
科学领域:
- 生态生态学 生态生态学
- 进化生物学 进化生物学
- 生物多样性研究 生物多样性研究
背景情况:
- 以前的研究表明,孤立的生态系统之间共同的物种多样性的强烈相关性挑战了中立理论.
- 中立理论认为,生态动态是由诸如物种化和灭绝之类的随机过程驱动的.
研究的目的:
- 调查孤立树木组合之间的共同家族多样性中观察到的相关性是否与中立理论相矛盾.
- 测试中性模型对碎片化息地的物种多样性模式的预测.
主要方法:
- 利用了生态社区中立模型的模拟.
- 在模型中,随机物种化和灭绝率的不同配置.
- 分析了模拟的孤立集合之间的共享家族多样性的结果相关性.
主要成果:
- 模拟表明,孤立的组合可以在共享的家庭多样性中维持强烈的相关性.
- 在各种随机物种化和灭绝场景中观察到这些相关性.
- 该模型的输出反映了以前被解释为反对中立性的证据的模式.
结论:
- 这些发现表明,共同家庭多样性的强烈相关性并不一定拒绝中立理论.
- 在孤立的树集中观察到的模式与中性模型的预测一致.
- 这项研究支持中立理论在解释碎片化生态系统中的生物多样性模式时的适用性.
相关概念视频
Limits to Natural Selection
Organisms that are well-adapted to their environment are more likely to survive and reproduce. However, natural selection does not lead to perfectly adapted organisms. Several factors constrain natural selection.
Genetics of Speciation
Speciation is the evolutionary process resulting in the formation of new, distinct species—groups of reproductively isolated populations.
Speciation Rates
Overview
Correlations
Correlation means that there is a relationship between two or more variables (such as ice cream consumption and crime), but this relationship does not necessarily imply cause and effect. When two variables are correlated, it simply means that as one variable changes, so does the other. We can measure correlation by calculating a statistic known as a correlation coefficient. A correlation coefficient is a number from -1 to +1 that indicates the strength and direction of the relationship between...
Habitat Fragmentation
Habitat fragmentation describes the division of a more extensive, continuous habitat into smaller, discontinuous areas. Human activities such as land conversion, as well as slower geological processes leading to changes in the physical environment, are the two leading causes of habitat fragmentation. The fragmentation process typically follows the same steps: perforation, dissection, fragmentation, shrinkage, and attrition.
Correlation and Causation
Statistical tests can calculate whether there is a relationship, or correlation, between independent and dependent variables. An indirect relationship of the variables signifies a correlation, while a direct relationship shows causation. If it is determined that no connection exists between the variables, then the correlation is a coincidence.
Correlation versus Causation
If the dependent variable increases or decreases when the independent variable increases, there is a positive or negative...
Correlation versus Causation
If the dependent variable increases or decreases when the independent variable increases, there is a positive or negative...

