• 主题
高级搜索  >
历史搜索 清空历史
首页> 美国卫生研究院文献>other >A general multi-trait-based framework for studying the effects of biodiversity on ecosystem functioning
【2h】

A general multi-trait-based framework for studying the effects of biodiversity on ecosystem functioning

机译：研究基于生物多样性对生态系统功能的影响的基于多特征的通用框架

代理获取
本网站仅为用户提供外文OA文献查询和代理获取服务，本网站没有原文。下单后我们将采用程序或人工为您竭诚获取高质量的原文，但由于OA文献来源多样且变更频繁，仍可能出现获取不到、文献不完整或与标题不符等情况，如果获取不到我们将提供退款服务。请知悉。
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

Environmental change is as multifaceted as are the species and communities that respond to these changes. Current theoretical approaches to modeling ecosystem response to environmental change often deal only with single environmental drivers or single species traits, simple ecological interactions, and/or steady states, leading to concern about how accurately these approaches will capture future responses to environmental change in real biological systems. To begin addressing this issue, we generalize a previous trait-based framework to incorporate aspects of frequency dependence, functional complementarity, and the dynamics of systems composed of species that are defined by multiple traits that are tied to multiple environmental drivers. The framework is particularly well suited for analyzing the role of temporal environmental fluctuations in maintaining trait variability and the resultant effects on community response to environmental change. Using this framework, we construct simple models to investigate two ecological problems. First, we show how complementary resource use can significantly enhance the nutrient uptake of plant communities through two different mechanisms related to increased productivity (over-yielding) and larger trait variability. Over-yielding is a hallmark of complementarity and increases the total biomass of the community and thus, the total rate at which nutrients are consumed. Trait variability also increases due to the lower levels of competition associated with complementarity, thus speeding up the rate at which more efficient species emerge as conditions change. Second, we study systems in which multiple environmental drivers act on species defined by multiple, correlated traits. We show that correlations in these systems can increase trait variability within the community and again lead to faster responses to environmental change. The methodological advances provided here will apply to almost any function that relates species traits and environmental drivers to growth, and should prove useful for studying the effects of climate change on the dynamics of biota.
机译：环境变化与应对这些变化的物种和社区一样多方面。当前用于对生态系统对环境变化的响应进行建模的理论方法通常仅处理单个环境驱动因素或单个物种特征，简单的生态相互作用和/或稳态，从而引起人们对这些方法将如何准确地捕获未来生物中对环境变化的响应的关注系统。为了开始解决这个问题，我们概括了以前的基于特征的框架，以结合频率依赖性，功能互补性以及由物种组成的系统动力学方面，这些物种由与多个环境驱动因素相关联的多个特征所定义。该框架特别适合于分析时间性环境波动在维持性状变异性中的作用以及由此产生的对社区对环境变化的响应的影响。使用此框架，我们构建了简单的模型来研究两个生态问题。首先，我们展示了互补的资源利用如何通过与生产力增加（产量过高）和性状变异性更大相关的两种不同机制显着提高植物群落对养分的吸收。过度生产是互补的标志，并增加了社区的总生物量，从而增加了养分消耗的总速度。由于与互补性相关的竞争水平较低，性状变异性也增加，从而随着条件的变化加快了效率更高的物种出现的速度。其次，我们研究了多种环境驱动因素作用于由多个相关特征定义的物种的系统。我们表明，这些系统中的相关性可以增加社区内的性状变异，并再次导致对环境变化的更快反应。此处提供的方法学进展将几乎适用于将物种特征和环境驱动因素与生长相关的所有功能，并且应证明对研究气候变化对生物群落动态的影响很有用。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
代理获取

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号