生物多样性的统一中性理论的测试
1Department of Ecology and Evolutionary Biology, University of Arizona, Tucson, Arizona 85721, USA. mail@brianmcgill.org
Nature
|April 15, 2003
概括
中性漂移理论使用零和多项分布 (ZSM) 预测生物多样性模式. 然而,这项研究没有发现证据表明,ZSM分布比更简单的模型更好地解释了物种丰度数据.
科学领域:
- 生态生态学 生态生态学
- 社区生态学社区生态学
- 生物多样性科学 生物多样性科学
背景情况:
- 生态学的一个基本问题是生物多样性的主要驱动因素.
- 最近的中性漂移理论认为,物种丰度主要由随机的中性漂移控制,淡化了基于利基的机制的作用.
- 这一理论预测了特定物种的丰富分布 (零和多项式),这需要严格的经验测试.
研究的目的:
- 实证测试中性漂移理论预测的零和多项分布 (ZSM) 是否比其他模型更适合生态社区数据.
- 为了确定ZSM分布是否在解释物种丰度模式方面明显优于已建立的零模型.
主要方法:
- 该研究分析了几种经验生态数据集,以评估物种丰度分布.
- 进行了统计比较,以评估ZSM分布与常见的零假设模型lognormal分布的适合性.
- 与逻辑正常分布相比,ZSM分布提供更好的匹配的频率被量化.
主要成果:
- 在95%的测试数据集中,零和多项分布 (ZSM) 与逻辑正常分布相比,与实证物种丰度数据相比,没有提供明显更好的匹配.
- 在大多数情况下,ZSM分布未能超越lognormal分布,表明缺乏优越的预测能力.
- 结果表明,ZSM分布并不能为观测到的物种丰度提供更节或更准确的解释.
结论:
- 目前没有强有力的经验证据来支持零和多项分布 (ZSM) 作为生态社区物种丰度模式的优越模型.
- 这些发现挑战了中性漂移理论关于物种丰度分布的核心预测.
- 其他模型,如逻辑正常分布,仍然更加节,并同样或更好地支持经验数据来解释生物多样性模式.
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