基于过程模型的生态系统服务束土壤健康评价

IF 6.6 1区农林科学 Q1 SOIL SCIENCE

Geoderma Pub Date : 2025-09-12 DOI:10.1016/j.geoderma.2025.117494

Marialaura Bancheri , Rossella Albrizio , Marco Botta , Alessia Perego , Fabio Terribile , Angelo Basile

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引用次数: 0

摘要

在全球范围内，土壤对生态系统服务的贡献对于实现若干可持续发展目标（SDG）是不可或缺的，包括粮食安全（SDG 2）、水质（SDG 6）和气候行动（SDG 13）。在欧盟层面，欧盟“欧洲土壤协议”特派团寻求到2030年恢复土壤健康。从土壤健康评价的角度出发，提出了基于ARMOSA过程模型的土壤生态系统服务综合评价方法。ARMOSA通过模拟不同的气候条件和管理实践来评估SESs，如食物供应、水调节、碳固存和气候调节以及养分循环。通过强调多个综合指标而不是单点测量，该方法捕获了土壤-植物-大气的动态相互作用，为土壤健康评估提供了一个细致入微的框架。结果表明，综合SES评价有潜力支持可持续土壤管理，并为实现地方和全球土壤健康目标的战略提供信息。

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Toward soil health assessment through process-based modeling of ecosystem service bundles

Globally, soil’s contribution to ecosystem services is integral to achieving several Sustainable Development Goals (SDGs), including food security (SDG 2), water quality (SDG 6), and climate action (SDG 13). At EU level, EU Mission “A Soil Deal for Europe” seeks to restore soil health by 2030. This study, in view of assessing soil health, introduces an integrated assessment of soil ecosystem services (SESs) using the ARMOSA process-based model. ARMOSA evaluates SESs, such as Food provisioning, Water regulation, Carbon Sequestration & Climate Regulation, and Nutrient cycling, through simulations that account for diverse pedoclimatic conditions and management practices. By emphasizing multiple integrated indicators over single-point measurements, this approach captures dynamic soil-plant-atmosphere interactions, offering a nuanced framework for soil health assessment. The results demonstrate the potential of comprehensive SES evaluations to support sustainable soil management and inform strategies to meet local and global soil health goals.

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来源期刊

Geoderma 农林科学-土壤科学

CiteScore

11.80

自引率

6.60%

发文量

597

审稿时长

58 days

期刊介绍： Geoderma - the global journal of soil science - welcomes authors, readers and soil research from all parts of the world, encourages worldwide soil studies, and embraces all aspects of soil science and its associated pedagogy. The journal particularly welcomes interdisciplinary work focusing on dynamic soil processes and functions across space and time.