地上冠层和地下根系性状相关性有助于根系特征估计：来自探地雷达数据的见解

IF 7 2区环境科学与生态学 Q1 ENVIRONMENTAL SCIENCES

Ecological Indicators Pub Date : 2025-03-22 DOI:10.1016/j.ecolind.2025.113354

Luyun Zhang , Li Guo , Kailiang Yu , Xihong Cui , Xin Cao , Xuehong Chen , Miaogen Shen , Jin Chen

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引用次数: 0

摘要

了解根系特征对于预测植物在不同环境条件下的生长和生态适应性至关重要。本研究以灌木粗根为研究对象，探讨是否可以通过灌木的冠层面积来估算其根系特征（即侧根展布及其根系生物量）。首先对小叶锦鸡儿的62个全根进行了测量。（C. microphylla）的地表冠层面积。其次，将从雷达图中提取的根点数转化为根生物量，进而计算累积根生物量；再次，采用logistic模型对粗根累积生物量水平方向的空间分布格局进行了表征。利用拟合函数提取根系总生物量、侧根展布、内在生长率和根冠盖度等根系参数。最后，研究了冠层面积与提取的根系参数之间的关系，以确定利用灌木冠层面积快速估算根系参数的潜力。小叶松材粗根的水平空间分布符合logistic模型。logistic模型拟合的R2值最低，为0.92。logistic模型提取的根系生物量、侧根展布、内在生长率和根冠盖度均值分别为1.68 kg、3.44 m、3.64和14.59。结果表明：冠层面积与根系总生物量、侧根展布呈显著正相关，与内在生长率、根冠盖度呈显著负相关；灌木的冠层面积是估算其根系特征的有效参数。

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Aboveground-canopy and belowground-root-trait correlations contribute to root system characteristics estimation: Insights from ground penetrating radar data

Understanding root system characteristics is crucial for predicting plant growth and ecological adaptability under varying environmental conditions. In this study, we investigated the shrub coarse roots to ask: whether the characteristics of the shrub root system (i.e., lateral root spread and its root biomass) can be estimated from the easily measurable canopy area of the shrubs. Firstly, we measured 62 individual full-root systems of Caragana microphylla Lam. (C. microphylla) by ground penetrating radar (GPR) and their aboveground canopy area. Secondly, the number of root points extracted from the radargrams was converted into root biomass, which was further used to calculate the cumulative root biomass. Thirdly, the logistic model was employed to characterize the coarse root horizontal spatial distribution pattern of cumulative biomass in the horizontal direction. The fitted function was then used to extract root parameters, including total root biomass, lateral root spread, intrinsic growth rate and root-shoot coverage ratio. Finally, the relationship between canopy area and extracted root parameters was investigated to determine the potential for rapid estimation of root parameters using shrub canopy area. The horizontal spatial distribution pattern of coarse roots in C. microphylla follows the logistic model. The logistic model exhibited the lowest R² value (0.92) when fitted to the 62 shrub data. The mean values of root biomass, lateral root spread, intrinsic growth rate, and root-shoot coverage ratio extracted from the logistic model were 1.68 kg, 3.44 m, 3.64, and 14.59, respectively. The results indicated that the canopy area exhibited a positive correlation with total root biomass and lateral root spread, while it was negatively associated with intrinsic growth rate and root-shoot coverage ratio. The canopy area of a shrub is an effective parameter for estimating the characteristics of its root system.

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来源期刊

Ecological Indicators 环境科学-环境科学

CiteScore

11.80

自引率

8.70%

发文量

1163

审稿时长

78 days

期刊介绍： The ultimate aim of Ecological Indicators is to integrate the monitoring and assessment of ecological and environmental indicators with management practices. The journal provides a forum for the discussion of the applied scientific development and review of traditional indicator approaches as well as for theoretical, modelling and quantitative applications such as index development. Research into the following areas will be published. • All aspects of ecological and environmental indicators and indices. • New indicators, and new approaches and methods for indicator development, testing and use. • Development and modelling of indices, e.g. application of indicator suites across multiple scales and resources. • Analysis and research of resource, system- and scale-specific indicators. • Methods for integration of social and other valuation metrics for the production of scientifically rigorous and politically-relevant assessments using indicator-based monitoring and assessment programs. • How research indicators can be transformed into direct application for management purposes. • Broader assessment objectives and methods, e.g. biodiversity, biological integrity, and sustainability, through the use of indicators. • Resource-specific indicators such as landscape, agroecosystems, forests, wetlands, etc.