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A trait-based approach to comparative functional plant ecology: concepts, methods and applications for agroecology. A review

机译:基于特征的比较功能性植物生态学方法:农业生态学的概念,方法和应用。回顾

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Comparative functional ecology seeks to understand why and how ecological systems and their components operate differently across environments. Although traditionally used in (semi)-natural situations, its concepts and methods could certainly apply toaddress key issues in the large variety of agricultural systems encountered across the world. In this review, we present major advances in comparative plant functional ecology that were made possible over the last two decades by the rapid development ofa trait-based approach to plant functioning and prospects to apply it in agricultural situations. The strength of this approach is that it enables us to assess the interactions between organisms and their environment simultaneously on a large number ofspecies, a prerequisite to address questions relative to species distribution, community assembly and ecosystem functioning. The trait concept will be first defined, before presenting a conceptual framework to understand the effects of environmental factors on plant community structure and ecosystem properties via plant traits. We will then argue that leading dimensions of variation among species can be captured by some selected traits and show that a combination of three easily measured traits—specific leaf area (the ratio of leaf area to leaf dry mass), plant height and seed mass—enables us to assess how different species use their resources, interact with neighbours and disperse in time and space. The use of traits to address central questions incommunity ecology will be reviewed next. It will be shown that traits allow us to (1) understand how plant species are sorted according to the nature of environmental gradients, (2) evaluate the relative importance of habitat filtering and limiting similarity in the process of community assembly and (3) quantify two main components of community functional structure, namely, community-weighted means of traits and community functional divergence. The relative impacts of these two components on ecosystem properties will then be discussed in the case of several components of primary productivity, litter decomposition, soil water content and carbon sequestration. There is strong support for the biomass ratio hypothesis, which states that the extent to whichthe traits of a species affect those ecosystem properties depends on the abundance of this species in the community. Assessing the role of functional divergence among species on ecosystem properties will require major methodological breakthroughs, bothin terms of metrics and statistical procedures to be used. In agricultural situations, we show that trait-based approaches have been successfully developed to assess the impacts of management practices on (1) the agronomic value of grasslands and (2) thefunctional composition and structure of crop weed communities and how these could affect the functioning of the crop. Applications in forestry are still poorly developed, especially in temperate regions where the number of species in managed forest remains relatively low. The last decades of research have led to the constitution of large data sets of plant traits, which remain poorly compatible and accessible. Recent advances in the field of ecoinformatics suggest that major progress could be achievedin this area by using improved metadata standards and advancing trait domain ontologies. Finally, concluding remarks, unanswered questions and directions for research using the functional approach to biodiversity made possible by the use of traits will be discussed in the contexts of ecological and agronomical systems. The latter indeed cover a wide range of environmental conditions and biological diversity, and the prospect for reducing environmental impacts in highly productive, low-diversity systemswill certainly imply improving our skills for the management of more diverse systems prone to a trait-based approach as reviewed here.
机译:比较功能生态学试图理解为什么生态系统及其组成部分在不同环境中的运行方式不同以及如何运行。尽管传统上用于(半)自然环境,但其概念和方法当然可以用于解决世界各地遇到的多种农业系统中的关键问题。在这篇综述中,我们介绍了植物功能比较生态学的重大进展,在过去的二十年中,通过基于特征的方法对植物功能进行快速开发,使之有可能实现,并将其应用于农业领域。这种方法的优势在于,它使我们能够同时评估大量物种上的生物与其环境之间的相互作用,这是解决与物种分布,群落组装和生态系统功能有关的问题的前提。首先提出特征概念,然后提出概念框架以通过植物特征了解环境因素对植物群落结构和生态系统特性的影响。然后,我们将争辩说,物种之间的变异的主要维度可以通过某些选定的性状来捕捉,并表明三个易于测量的性状的组合-比叶面积(叶面积与叶干质量之比),植物高度和种子质量-使我们能够评估不同物种如何利用其资源,如何与邻居互动以及如何在时间和空间上分散。接下来将回顾使用特质解决社区生态学中的核心问题。结果表明,性状使我们能够(1)了解如何根据环境梯度的性质对植物物种进行分类;(2)评估栖息地过滤的相对重要性并在群落聚集过程中限制相似性;以及(3)量化社区功能结构的两个主要组成部分,即社区加权特征和社区功能差异。然后,在主要生产力,凋落物分解,土壤含水量和碳固存的几个组成部分的情况下,将讨论这两个组成部分对生态系统特性的相对影响。生物量比率假说得到了有力的支持,该假说指出,一个物种的性状影响这些生态系统特性的程度取决于该物种在社区中的丰度。评估物种之间的功能差异对生态系统特性的作用将需要在方法和统计程序方面取得重大的方法突破。在农业环境中,我们表明基于特征的方法已成功开发,可以评估管理措施对(1)草地的农艺价值和(2)杂草群落的功能组成和结构以及它们如何影响其功能的影响的作物。在林业上的应用仍然发展不佳,特别是在温带地区,那里的人工林物种数量仍然相对较低。最近的几十年研究导致了植物性状的大数据集的构建,这些数据集之间的兼容性和访问性都很差。生态信息学领域的最新进展表明,通过使用改进的元数据标准和推进特征域本体,可以在该领域取得重大进展。最后,将在生态和农艺系统的背景下讨论结论,未解决的问题和通过利用特性使利用生物多样性的功能方法成为可能的研究方向。后者的确涵盖了广泛的环境条件和生物多样性,减少在高生产率,低多样性系统中对环境的影响的前景肯定意味着将提高我们的管理能力,以应对基于特征的方法的多样性这里。

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