Root traits as drivers of plant and ecosystem functioning: current understanding, pitfalls and future research needs
Root traits as drivers of plant and ecosystem functioning: current understanding, pitfalls and future research needs
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DOI：
10.1111/nph.17072
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发表时间：
2021-01-15
期刊：
影响因子：
9.4
通讯作者：
Stokes, Alexia
中科院分区：
文献类型：
--
作者：
Freschet, Gregoire T.;Roumet, Catherine;Stokes, Alexia
植物对生物圈、大气圈和地圈的影响是陆地生态系统功能的关键决定因素。然而，尽管在植物地下成分方面取得了实质性进展，我们仍然只是开始探索根性状和功能之间的复杂关系。借鉴植物生理学，生态生理学，生态学，农学和土壤科学的文献，我们回顾了24个方面的植物和生态系统功能及其与根系性状的关系，包括建筑，生理，形态，解剖，化学，生物力学和生物相互作用。基于这一评估，我们批判性地评估了目前的优势和差距，在我们的知识，并确定未来的研究挑战，在该领域的根生态学。最重要的是，我们发现，在植物和生态系统功能中具有最广泛重要性的地下性状并不是最常测量的。此外，估计性状的相对重要性功能需要我们考虑更全面的功能相关性状从不同的物种，跨环境和时间序列。我们还主张，建立根性状之间的因果层次联系将提供一个基于假设的框架，以确定最吝啬的功能上的最强链接的性状集，并将基因型与植物和生态系统功能。
The effects of plants on the biosphere, atmosphere and geosphere are key determinants of terrestrial ecosystem functioning. However, despite substantial progress made regarding plant belowground components, we are still only beginning to explore the complex relationships between root traits and functions. Drawing on the literature in plant physiology, ecophysiology, ecology, agronomy and soil science, we reviewed 24 aspects of plant and ecosystem functioning and their relationships with a number of root system traits, including aspects of architecture, physiology, morphology, anatomy, chemistry, biomechanics and biotic interactions. Based on this assessment, we critically evaluated the current strengths and gaps in our knowledge, and identify future research challenges in the field of root ecology. Most importantly, we found that belowground traits with the broadest importance in plant and ecosystem functioning are not those most commonly measured. Also, the estimation of trait relative importance for functioning requires us to consider a more comprehensive range of functionally relevant traits from a diverse range of species, across environments and over time series. We also advocate that establishing causal hierarchical links among root traits will provide a hypothesis-based framework to identify the most parsimonious sets of traits with the strongest links on functions, and to link genotypes to plant and ecosystem functioning.