基准土壤多功能

IF 4.3 2区 农林科学 Q1 SOIL SCIENCE
Soil Pub Date : 2025-09-10 DOI:10.5194/soil-11-609-2025
E. R. Jasper Wubs
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引用次数: 0

摘要

摘要。健康土壤具有多种功能,对人类福祉有重要贡献,包括初级生产、气候和水调节以及支持生物多样性。这些功能可以部分地结合起来,有些功能也可以明显地相互权衡:这激发了土壤多功能研究。社会需要科学家帮助评估哪种土壤最适合哪种土壤功能,并确定对任何特定土壤的适当长期管理,以实现最佳功能。然而,对于这两项任务,科学缺乏连贯的工具,在本文中,我提出了一个前进的方向。关键是,我们缺乏一个共同的测量框架,将土壤功能测量固定在一个共同的尺度上。目前,该领域是根据我们用来测量和评估土壤功能及其指标的方法进行划分的。在旨在测量土壤健康或质量的65个方案中,通常只测量了三个指标变量(土壤有机质(SOM)、酸度和有效磷)(约70%的方案),而在65个方案中,没有超过30%的方案实施生物测量。这种现状使我们无法系统地比较土壤之间和土壤内部的差异;我们缺乏一个真正的多功能基准。我们可以通过建立一个通用的测量系统来系统地解决这些限制。为了做到这一点,我建议使用基于一套通用功能测量的潜在变量模型,开发一种通用的“土壤智商测试”。我把土壤函数当作潜在变量;因为它们是复杂的过程,不能直接测量,我们只能检测这些复杂过程的驱动因素和后果。潜在变量模型在社会、经济和心理测量学领域有着悠久的历史,在这些领域,它被称为因子分析。因子分析的目的是通过将可测量的反应变量在一个共同的尺度上联系起来,得出假设结构的共同描述符——因子。在这里,我解释了为什么需要这样一种土壤多功能和土壤健康的新方法,以及如何实施它。这里制定的框架是一个初步建议;土壤多功能性问题太过复杂和重要,无法一蹴而就。它需要由科学家团队紧密合作来反复解决。我们需要把我们最优秀的科学家聚集在一起,共同努力,逐步开发更精细的方法,以可持续地管理人类最宝贵的资源之一:我们的土壤。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Benchmarking soil multifunctionality
Abstract. Healthy soils provide multiple functions that contribute importantly to human wellbeing, including in primary production, climate and water regulation, and supporting biodiversity. These functions can partially be combined, and some functions also clearly trade off: this motivates soil multifunctionality research. Society needs scientists to help assess which soils are best for which soil functions and to determine appropriate long-term management of any given soil for optimal function delivery. However, for both tasks science lacks coherent tools, and, in this paper, I propose a way forward. Critically, we lack a common measurement framework that pins soil functioning measurements on a common scale. Currently the field is divided with respect to the methods we use to measure and assess soil functioning and indicators thereof. Only three indicator variables (soil organic matter (SOM), acidity, and available P) were commonly measured (> 70 % of schemes) across 65 schemes that aim to measure soil health or quality, and no biological measure is implemented in more than 30 % of the 65 schemes. This status quo prevents us from systematically comparing across and within soils; we lack a soil multifunctionality benchmark. We can address these limitations systematically by setting a common measurement system. To do this, I propose to use latent-variable modelling, based on a common set of functional measurements, to develop a common “IQ test for soils”. I treat soil functions as latent variables; because they are complex processes that cannot be measured directly, we can only detect drivers and consequences of these complex processes. Latent-variable modelling has a long history in social, economic, and psychometric fields, where it is known as factor analysis. Factor analysis aims to derive common descriptors – the factors – of hypothesized constructs by linking measurable response variables together on a common scale. Here, I explain why such a new approach to soil multifunctionality and soil health is needed and how it can be operationalized. The framework developed here is an initial proposal; the issue of soil multifunctionality is too complex and too important to be addressed in one go. It needs to be resolved iteratively by groups of scientist working intensively together. We need to bring our best scientists together, in a collaborative effort, to develop progressively more refined ways of sustainably managing one of humanity's most precious resources: our soils.
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来源期刊
Soil
Soil Agricultural and Biological Sciences-Soil Science
CiteScore
10.80
自引率
2.90%
发文量
44
审稿时长
30 weeks
期刊介绍: SOIL is an international scientific journal dedicated to the publication and discussion of high-quality research in the field of soil system sciences. SOIL is at the interface between the atmosphere, lithosphere, hydrosphere, and biosphere. SOIL publishes scientific research that contributes to understanding the soil system and its interaction with humans and the entire Earth system. The scope of the journal includes all topics that fall within the study of soil science as a discipline, with an emphasis on studies that integrate soil science with other sciences (hydrology, agronomy, socio-economics, health sciences, atmospheric sciences, etc.).
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