| DOI: | 10.1002/2015GL064857
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| 论文题名: | The signature of randomness in riparian plant root distributions |
| 作者: | Tron S.; Perona P.; Gorla L.; Schwarz M.; Laio F.; Ridolfi L.
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| 刊名: | Geophysical Research Letters
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| ISSN: | 0094-9531
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| EISSN: | 1944-9262
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| 出版年: | 2015
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| 卷: | 42, 期:17 | | 起始页码: | 7098
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| 结束页码: | 7106
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| 语种: | 英语
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| 英文关键词: | analytical model
; fluvial ecosystem
; plant root data
; Salix species
; stochastic river variability
; vertical root profile
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| Scopus关键词: | Climate models
; Ecology
; Ecosystems
; Forestry
; Random processes
; Soil moisture
; Soils
; Stochastic models
; Stochastic systems
; Density distributions
; Environmental conditions
; Environmental heterogeneity
; Plant roots
; Salix species
; Soil moisture availability
; stochastic river variability
; vertical root profile
; Analytical models
; adaptation
; analytical framework
; climate change
; data set
; ecosystem function
; field method
; resource availability
; riparian zone
; river flow
; root
; soil moisture
; stochasticity
; Salix
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| 英文摘要: | Known as "the hidden half", plant roots are fundamental contributors to the riparian ecosystem functioning. Roots show an extraordinary architectural complexity that recalls their remarkable ability to adapt to environmental heterogeneity, resources availability, and climate. In fluvial environments, phreatophytes and hydrophytes cope with flow and sediment processes, and hydrotropism and aerotropism are the main drivers for root growth. In this work, we show how the vertical root density distribution in riparian plants is the result of how plants respond to the random fluctuations of river flows. A root data set from field and controlled outdoor experiments is used in combination with a physically based analytical model to demonstrate that the root vertical density distribution can be ascribed to the interplay of randomness and determinism in a simple mathematical form. The shape of the distribution reflects the profitability of plant roots to grow in different soil layers depending on the soil moisture availability. For the first time, this model helps understanding in an analytical manner the adaptation strategy of plant roots to different scenarios, paving the way for the comprehension of the effects of future changes in climate and environmental conditions. ©2015. American Geophysical Union. All Rights Reserved. |
| URL: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-84943255655&doi=10.1002%2f2015GL064857&partnerID=40&md5=0b6e4895d16821d0567486f3f1cf8583
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| Citation statistics: |
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| 资源类型: | 期刊论文
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| 标识符: | http://119.78.100.158/handle/2HF3EXSE/9146
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| Appears in Collections: | 科学计划与规划
气候变化与战略
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作者单位: | Group AHEAD, Institute of Environmental Engineering, EPFL-ENAC, Lausanne, Switzerland
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| Recommended Citation: | |
Tron S.,Perona P.,Gorla L.,et al. The signature of randomness in riparian plant root distributions[J]. Geophysical Research Letters,2015-01-01,42(17).
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