The International Forest Risk Model (INFORM): A Method for Assessing Supply Chain Deforestation Risk with Imperfect Data

N. Caithness, Cécile Lachaux, D. Wallom
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Abstract

A method for quantifiably estimating the deforestation risk exposure of agricultural Forest Risk Commodities in commercial supply chains is presented. The model consists of a series of equations applied using end-to-end data representing quantitative descriptors of the supply chain and its effect on deforestation. A robust penalty is included for historical deforestation and a corresponding reward for reductions in the rate of deforestation. The INternational FOrest Risk Model (INFORM) is a method for data analysis that answers a particular question for any Forest Risk Commodity in a supply chain: what is its cumulative deforestation risk exposure? To illustrate the methodology a case study of a livestock producer in France who sources soya-based animal feed from Brazil and wishes to document the deforestation risk associated with the product is described and calculated. Building on this example a discussion of the future applicability of INFORM within emerging supply-chain transparency initiatives is made including describing clear shortcomings in the method and how it may also be used to motivate the production of better data by those that may be subject of its analysis.
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国际森林风险模型(INFORM):一种不完全数据下供应链毁林风险评估方法
提出了一种定量估算商业供应链中农业森林风险商品毁林风险暴露的方法。该模型由一系列方程组成,这些方程使用端到端数据表示供应链及其对森林砍伐的影响的定量描述符。对历史上的森林砍伐实行严厉的惩罚,并对减少森林砍伐率给予相应的奖励。国际森林风险模型(INFORM)是一种数据分析方法,用于回答供应链中任何森林风险商品的特定问题:其累积毁林风险暴露程度是多少?为了说明该方法,本文描述并计算了法国一家牲畜生产商的案例研究,该生产商从巴西采购大豆为基础的动物饲料,并希望记录与该产品相关的森林砍伐风险。在这个例子的基础上,讨论了INFORM在新兴供应链透明度倡议中的未来适用性,包括描述了该方法的明显缺点,以及如何使用它来激励可能被其分析的对象产生更好的数据。
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