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Decomposing the land-use specific response of plant functional traits along environmental gradients

机译:沿环境梯度分解植物功能性状的土地利用特定反应

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摘要

Environmental conditions affect functional trait variability within communities and thus shape ecosystem properties. With the ability of plants to adapt morphologically and physiologically to changing abiotic conditions, gradient analysis was shown to be a suitable tool to identify the drivers which determine trait values. Apart from direct environmental drivers and indirect gradients such as elevation, also anthropogenic effects (e.g. irrigation, grazing) can influence trait variability. Our aim was to assess the interactive effects of different environmental drivers on major plant traits and to investigate how these are modulated within two different land-use types (hay meadow vs. pasture). An elevational gradient spanning 1000 m was decomposed into its underlying direct components (temperature, water input length of growing season) for the investigation of gradual responses of five prominent functional traits (aboveground dry weight (AGDW), vegetative height (VegHt), specific leaf area (SLA), leaf dry matter content (LDMC), leaf nitrogen concentration (LNC)) for key species from two functional groups (grasses, forbs) in the two land-use/management regimes. The present study revealed that the detailed analysis of single direct gradients provides substantial additional information on trait response which remains hidden or is even reversed if only indirect gradients such as elevation are analysed. However, trait response to the combination of the three direct gradients aligned surprisingly well with trait response to the indirect gradient underpinning the adequate representation of temperature, water input and length of growing season by elevation. The response of traits significantly depended on the management regime and corresponding intensity which was shown to play an overriding role and constrained and attenuated response ranges of traits to climatic gradients.
机译:环境条件影响社区内的功能性状变异性,从而影响生态系统特性。具有植物在形态和生理上适应变化的非生物条件的能力,梯度分析被证明是识别决定性状值的驱动因子的合适工具。除了直接的环境驱动因素和间接的坡度(例如海拔)外,人为影响(例如灌溉,放牧)也会影响性状变异。我们的目的是评估不同环境驱动因素对主要植物性状的相互作用,并研究在两种不同的土地利用类型(干草草甸与牧场)中如何调节这些相互作用。将跨越1000 m的海拔梯度分解为其基本直接成分(温度,生长季节的水分输入长度),以研究五个主要功能性状(地上干重(AGDW),植物高度(VegHt),特定叶片)的逐渐响应面积(SLA),叶片干物质含量(LDMC),叶片氮浓度(LNC))来自两种土地利用/管理制度中两个功能组(草,草)的关键物种。本研究表明,对单个直接梯度的详细分析提供了有关性状反应的大量其他信息,如果仅分析间接梯度(例如海拔),则该特征将保持隐藏甚至被逆转。但是,对三个直接梯度的组合的性状响应与对间接梯度的性状响应出乎意料地很好地吻合,从而通过高度来适当表示温度,水输入量和生长季节的长度。性状的响应在很大程度上取决于管理制度和相应的强度,这显示出其对气候梯度起着压倒一切的作用,并且限制和减弱了性状对气候梯度的响应范围。

著录项

  • 来源
    《The Science of the Total Environment》 |2017年第1期|750-759|共10页
  • 作者单位

    Institute for Alpine Environment, Eurac Research, Viale Druso 1,39100 Bozen/Bolzano, Italy;

    Institute of Ecology, University of Innsbruck, Stemwartestrasse 15,6020 Innsbruck, Austria;

    Institute for Alpine Environment, Eurac Research, Viale Druso 1,39100 Bozen/Bolzano, Italy;

    Institute of Ecology, University of Innsbruck, Stemwartestrasse 15,6020 Innsbruck, Austria;

    Institute for Alpine Environment, Eurac Research, Viale Druso 1,39100 Bozen/Bolzano, Italy,Institute of Ecology, University of Innsbruck, Stemwartestrasse 15,6020 Innsbruck, Austria;

    Institute for Alpine Environment, Eurac Research, Viale Druso 1,39100 Bozen/Bolzano, Italy,Institute of Ecology, University of Innsbruck, Stemwartestrasse 15,6020 Innsbruck, Austria;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Alpine grasslands; Direct abiotic gradient; Elevational gradient; Variability; Pasture; Management intensity;

    机译:高山草原;直接非生物梯度;高度梯度;变化性;牧场;管理强度;

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