A growing number of companies have announced zero-deforestation commitments (ZDCs) to eliminate commodities produced at the expense of forests from their supply chains. Translating these aspirational goals into forest conservation requires forest mapping and monitoring (M&M) systems that are technically adequate and therefore credible, salient so that they address the needs of decision makers, legitimate in that they are fair and unbiased, and scalable over space and time. We identify 12 attributes of M&M that contribute to these goals and assess how two prominent ZDC programs, the Amazon Soy Moratorium and the High Carbon Stock Approach, integrate these attributes into their M&M systems. These programs prioritize different attributes, highlighting fundamental trade-offs in M&M design. Rather than prescribe a one-size-fits-all solution, we provide policymakers and practitioners with guidance on the design of ZDC M&M systems that fit their specific use case and that may contribute to more effective implementation of ZDCs.

中文翻译：

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绘制和监测零毁林承诺


越来越多的公司宣布了零毁林承诺（ZDC），以消除其供应链中以牺牲森林为代价生产的商品。将这些理想目标转化为森林保护需要森林测绘和监测 (M&M) 系统，这些系统技术上足够，因此可信、突出，以便能够满足决策者的需求，合法性在于公平和公正，并且可以在空间和时间上扩展。我们确定了有助于实现这些目标的 M&M 的 12 个属性，并评估了两个著名的 ZDC 计划（亚马逊大豆暂停计划和高碳库存方法）如何将这些属性集成到其 M&M 系统中。这些程序优先考虑不同的属性，强调 M&M 设计中的基本权衡。我们不是提供一刀切的解决方案，而是为政策制定者和从业者提供适合其特定用例的 ZDC M&M 系统设计指南，并可能有助于更有效地实施 ZDC。