{"title":"A Null Model for Global Root Depth Distributions: Analytical Solution and Comparison to Data","authors":"Ciaran J. Harman, Dana A. Lapides","doi":"10.1002/eco.70023","DOIUrl":null,"url":null,"abstract":"<div>\n \n <p>To accurately predict earth system response to global change, we must be able to predict the responses of important properties of that system, such as the depths over which plant roots are distributed. In 2008, H. J. Schenk proposed a model for the depth distribution of plant roots based on a simple hydrological scheme and the assumptions that plants will take up the shallowest water available first and will distribute their roots in proportion to long-term mean uptake at each depth. Here, we derive an analytical solution to the Schenk model under an idealised climate (in which infiltration events are treated as a marked Poisson process), explore properties of the result and compare with data. The solution suggests that in very humid and arid climates, the soil wetting and drying cycles induced by root water uptake are generally confined to a characteristic depth below the surface. This depth depends on the typical magnitude of rainfall events (most strongly so in arid climates), the typical total transpiration demand between rainfall events (most strongly in humid climates) and the plant-available water holding capacity of the soil. Root water uptake (and thus predicted root density) in very humid and arid landscapes decreases exponentially with depth at a rate determined by this characteristic depth. However, in a mesic climate, soils may be wet or dry to greater depths below the near-surface, and the duration spent in each state increases with depth. Consequently, root water uptake and root density in mesic climates more closely resemble a power law distribution. When the aridity index is exactly 1, the characteristic depth diverges and the mean rooting depth approaches infinity. This suggests that the most skewed root depth distributions might occur in mesic environments. We compared this model to another analytical solution and a compiled database of root distributions (159 combined locations). For a larger comparison dataset, we also compared 99th percentile rooting depth to rooting depths modeled by two other frameworks and a database of observed rooting depths (1271 combined locations). Results demonstrate that the analytical formulation of the Schenk model performs well as a shallow bound on rooting depths and captures something of the nonexponential form of root distributions, and its error is similar to or less than that of other modeling frameworks. Errors may be partly explained by the deviation of real climate from the idealisations used to obtain an analytical solution (exponentially distributed infiltration events and no seasonality).</p>\n </div>","PeriodicalId":55169,"journal":{"name":"Ecohydrology","volume":"18 3","pages":""},"PeriodicalIF":2.5000,"publicationDate":"2025-04-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Ecohydrology","FirstCategoryId":"93","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/eco.70023","RegionNum":3,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ECOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
To accurately predict earth system response to global change, we must be able to predict the responses of important properties of that system, such as the depths over which plant roots are distributed. In 2008, H. J. Schenk proposed a model for the depth distribution of plant roots based on a simple hydrological scheme and the assumptions that plants will take up the shallowest water available first and will distribute their roots in proportion to long-term mean uptake at each depth. Here, we derive an analytical solution to the Schenk model under an idealised climate (in which infiltration events are treated as a marked Poisson process), explore properties of the result and compare with data. The solution suggests that in very humid and arid climates, the soil wetting and drying cycles induced by root water uptake are generally confined to a characteristic depth below the surface. This depth depends on the typical magnitude of rainfall events (most strongly so in arid climates), the typical total transpiration demand between rainfall events (most strongly in humid climates) and the plant-available water holding capacity of the soil. Root water uptake (and thus predicted root density) in very humid and arid landscapes decreases exponentially with depth at a rate determined by this characteristic depth. However, in a mesic climate, soils may be wet or dry to greater depths below the near-surface, and the duration spent in each state increases with depth. Consequently, root water uptake and root density in mesic climates more closely resemble a power law distribution. When the aridity index is exactly 1, the characteristic depth diverges and the mean rooting depth approaches infinity. This suggests that the most skewed root depth distributions might occur in mesic environments. We compared this model to another analytical solution and a compiled database of root distributions (159 combined locations). For a larger comparison dataset, we also compared 99th percentile rooting depth to rooting depths modeled by two other frameworks and a database of observed rooting depths (1271 combined locations). Results demonstrate that the analytical formulation of the Schenk model performs well as a shallow bound on rooting depths and captures something of the nonexponential form of root distributions, and its error is similar to or less than that of other modeling frameworks. Errors may be partly explained by the deviation of real climate from the idealisations used to obtain an analytical solution (exponentially distributed infiltration events and no seasonality).
为了准确地预测地球系统对全球变化的响应,我们必须能够预测该系统重要特性的响应,例如植物根系分布的深度。2008年,H. J. Schenk提出了一个植物根系深度分布模型,该模型基于一个简单的水文方案,并假设植物将首先吸收最浅的水,并将其根系分布与每个深度的长期平均吸纳量成比例。在这里,我们推导了理想气候下申克模型的解析解(其中渗透事件被视为一个标记的泊松过程),探索结果的性质并与数据进行比较。该解决方案表明,在非常潮湿和干旱的气候条件下,由根系水分吸收引起的土壤干湿循环通常局限于地表以下的一个特征深度。这个深度取决于降雨事件的典型大小(在干旱气候中最强烈)、降雨事件之间的典型总蒸腾需求(在潮湿气候中最强烈)和土壤的植物有效持水量。在非常潮湿和干旱的景观中,根系吸水率(从而预测根系密度)随深度呈指数下降,其速率由该特征深度决定。然而,在mesic气候中,土壤在近地表以下更深的地方可能是湿的或干的,并且每种状态的持续时间随着深度的增加而增加。因此,在中等气候条件下,根吸水量和根密度更接近于幂律分布。当干旱指数恰好为1时,特征深度发散,平均生根深度趋近于无穷大。这表明最偏斜的根深分布可能发生在中等环境中。我们将该模型与另一种分析解决方案和根分布的汇编数据库(159个组合位置)进行了比较。对于一个更大的比较数据集,我们还将99百分位生根深度与其他两个框架和观测到的生根深度数据库(1271个地点)所模拟的生根深度进行了比较。结果表明,Schenk模型的解析公式作为根深度的浅界表现良好,并捕获了根分布的非指数形式,其误差与其他建模框架相似或小于。实际气候与用于获得解析解的理想化结果(指数分布的入渗事件和无季节性)的偏差可能部分地解释了误差。
期刊介绍:
Ecohydrology is an international journal publishing original scientific and review papers that aim to improve understanding of processes at the interface between ecology and hydrology and associated applications related to environmental management.
Ecohydrology seeks to increase interdisciplinary insights by placing particular emphasis on interactions and associated feedbacks in both space and time between ecological systems and the hydrological cycle. Research contributions are solicited from disciplines focusing on the physical, ecological, biological, biogeochemical, geomorphological, drainage basin, mathematical and methodological aspects of ecohydrology. Research in both terrestrial and aquatic systems is of interest provided it explicitly links ecological systems and the hydrologic cycle; research such as aquatic ecological, channel engineering, or ecological or hydrological modelling is less appropriate for the journal unless it specifically addresses the criteria above. Manuscripts describing individual case studies are of interest in cases where broader insights are discussed beyond site- and species-specific results.