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选择合适土壤有机碳模拟模型的挑战:全面的全球综述和验证评估。

The challenge of selecting an appropriate soil organic carbon simulation model: A comprehensive global review and validation assessment.

机构信息

Soil Biology Group, Wageningen University, Wageningen, The Netherlands.

出版信息

Glob Chang Biol. 2023 Oct;29(20):5760-5774. doi: 10.1111/gcb.16896. Epub 2023 Aug 12.

Abstract

Promotion of soil organic carbon (SOC) sequestration as a potential solution to support climate change mitigation as well as more sustainable farming systems is rising steeply. As a result, voluntary carbon markets are rapidly expanding in which farmers get paid per tons of carbon dioxide sequestered. This market relies on protocols using simulation models to certify that increases in SOC stocks do indeed occur and generate tradable carbon credits. This puts tremendous pressure on SOC simulation models, which are now expected to provide the foundation for a reliable global carbon credit generation system. There exist an incredibly large number SOC simulation models which vary considerably in their applicability and sensitivity. This confronts practitioners and certificate providers with the critical challenge of selecting the models that are appropriate to the specific conditions in which they will be applied. Model validation and the context of said validation define the boundaries of applicability of the model, and are critical therefore to model selection. To date, however, guidelines for model selection are lacking. In this review, we present a comprehensive review of existing SOC models and a classification of their validation contexts. We found that most models are not validated (71%), and out of those validated, validation contexts are overall limited. Validation studies so far largely focus on the global north. Therefore, countries of the global south, the least emitting countries that are already facing the most drastic consequences of climate change, are the most poorly supported. In addition, we found a general lack of clear reporting, numerous flaws in model performance evaluation, and a poor overall coverage of land use types across countries and pedoclimatic conditions. We conclude that, to date, SOC simulation does not represent an adequate tool for globally ensuring effectiveness of SOC sequestration effort and ensuring reliable carbon crediting.

摘要

促进土壤有机碳(SOC)固存,以支持气候变化缓解以及更可持续的农业系统,这一目标正日益受到关注。因此,自愿碳市场正在迅速扩大,农民可以通过每吨二氧化碳的固存获得报酬。这个市场依赖于使用模拟模型的协议来认证 SOC 储量的增加确实发生了,并产生可交易的碳信用额。这给 SOC 模拟模型带来了巨大的压力,现在这些模型需要为可靠的全球碳信用额生成系统提供基础。现有的 SOC 模拟模型数量巨大,其适用性和敏感性差异很大。这使得从业者和证书颁发者面临着一个关键的挑战,即选择适用于其将被应用的具体条件的模型。模型验证和验证的背景确定了模型的适用性边界,因此对于模型选择至关重要。然而,迄今为止,还缺乏模型选择的指南。在这篇综述中,我们对现有的 SOC 模型进行了全面的回顾,并对其验证背景进行了分类。我们发现,大多数模型都没有经过验证(71%),而在经过验证的模型中,验证背景总体上是有限的。到目前为止,验证研究主要集中在北半球。因此,排放最少的发展中国家,也就是已经面临气候变化最严重后果的国家,得到的支持最少。此外,我们还发现,报告不清晰、模型性能评估中的缺陷众多,以及各国和各种土壤气候条件下土地利用类型的覆盖范围都很差。我们得出的结论是,到目前为止,SOC 模拟还不能作为一种有效的工具,确保 SOC 固存努力在全球范围内的有效性,并确保可靠的碳信用额。

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