Tropical forests play a fundamental role in the provision of diverse ecosystem services, such as biodiversity, climate and air quality regulation, freshwater provision, carbon cycling, agricultural support and culture. To understand the role of forests in the carbon balance, aboveground biomass (AGB) estimates are needed. Given the importance of Brazilian tropical forests, there is an urgent need to improve AGB estimates to support the Brazilian commitments under the United Nations Framework Convention on Climate Change (UNFCCC). Many AGB maps and datasets exist, varying in availability, scale and coverage. Thus, stakeholders, policy makers and scientists must decide which AGB product, dataset or combination of data to use for their particular goals. In this study, we assessed the gaps in the spatial AGB data across the Brazilian Amazon forests not only to orient the decision makers about the data that are currently available but also to provide a guide for future initiatives. We obtained a map of the gaps in the forest AGB spatial data for the Brazilian Amazon using statistics and differences between AGB maps and a spatial multicriteria evaluation that considered the current AGB datasets. The AGB spatial data gap map represents areas with good coverage of AGB data and, consequently, the main gaps or priority areas where further biomass assessments should focus, including the northeast of Amazon State, Amapá and northeast of Pará. Additionally, by quantifying the variability in both the AGB maps and field data on multiple environmental factors, we provide valuable elements for understanding the current AGB data as a function of climate, soil, vegetation and geomorphology. The map of AGB data gaps could become a useful tool for policy makers and different stakeholders working on National Communications, Reducing Emissions from Deforestation and Degradation (REDD+), or carbon emissions modeling to prioritize places to implement further AGB assessments. Only 0.2% of the Amazon biome forest is sampled, and extensive effort is necessary to improve what we know about the tropical forest.

中文翻译：

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绘制数据缺口以估算巴西亚马逊森林中的生物量

热带森林在提供多样化的生态系统服务中发挥着根本作用，例如生物多样性，气候和空气质量调节，淡水供应，碳循环，农业支持和文化。要了解森林在碳平衡中的作用，需要估算地上生物量（AGB）。鉴于巴西热带森林的重要性，迫切需要改进AGB估算，以支持巴西根据《联合国气候变化框架公约》（UNFCCC）做出的承诺。存在许多AGB地图和数据集，其可用性，规模和覆盖范围各不相同。因此，利益相关者，政策制定者和科学家必须决定将哪个AGB产品，数据集或数据组合用于其特定目标。在这个研究中，我们评估了整个巴西亚马逊森林的空间AGB数据的差距，不仅使决策者可以了解当前可用的数据，还可以为未来的计划提供指导。我们使用统计数据和AGB地图之间的差异以及考虑了当前AGB数据集的空间多标准评估得出了巴西亚马逊森林AGB空间数据中的差距图。AGB空间数据缺口图表示具有良好AGB数据覆盖率的区域，因此，应进一步关注生物量评估的主要缺口或优先区域，包括亚马逊州东北部，阿马帕州和帕拉州东北部。此外，通过量化AGB地图和现场数据在多种环境因素方面的变异性，我们提供了宝贵的要素，可用于了解当前的AGB数据与气候，土壤，植被和地貌的关系。AGB数据缺口图可能会成为决策者和从事国家信息通报，减少毁林和退化所致排放量（REDD +）或碳排放模型以优先考虑实施AGB评估的地方的不同利益相关者的有用工具。仅对亚马逊生物群落森林的0.2％进行了采样，因此有必要付出大量努力来改善我们对热带森林的了解。或碳排放模型来优先安排地点，以实施进一步的AGB评估。仅对亚马逊生物群落森林的0.2％进行了采样，因此有必要付出大量努力来改善我们对热带森林的了解。或碳排放模型来优先安排实施AGB评估的地方。仅对亚马逊生物群落森林的0.2％进行了采样，因此有必要付出大量努力来改善我们对热带森林的了解。