Workshop-NEON: Integrating NEON ANPP Data with Existing Long-term and Spatially Extensive Data Sets - Providing Context and Testing Theory; 3 Meetings; Fort Collins, Co; 2016-2017

陆地生态系统占全球植物物质产量的三分之二，尽管只覆盖了地球表面的四分之一。事实上，这些生态系统中植物中储存的碳量相当于大气中碳的75%。为了了解地球是如何运作的，我们需要了解是什么控制着大陆尺度的植物生产模式以及它的动态。这一点尤其重要，因为我们生活在一个环境快速变化的时代，每年的生产可能会发生极端变化，对农业、林业和生物燃料生产产生巨大影响。新建成的国家生态观测站网络（NEON）将提供无与伦比的地上产量估算空间阵列，可用于描述植物碳吸收和储存的大陆尺度模式。在NEON最初的几年里，如何区分长期趋势和短期波动？幸运的是，在新网络建立之前，美国其他几个长期试验点已经有了关于植物生物量生产的数据集。正在组织一系列工作会议，目的是利用现有的长期生产工厂生产数据，短期（2-4年）空间分布的生产数据，来自其他旧网络和生态系统模型，为评估和解释NEON的初始数据提供关键的时间背景。这些研讨会将校准NEON工厂生产数据的基本基线，提高这一重要测量的价值，并最终确保NEON的成功。这些讲习班还将有助于几位早期职业科学家的专业发展。社会将受益于对整个美国大陆植物生物量生产模式和动态的更深入了解。这些NEON地上净初级生产（ANPP）研讨会的总体目标将是在现有互补的长期和空间分布的ANPP数据背景下，评估和评估NEON新兴的空间ANPP数据集，并以当前一代生态系统和全球土地模型为代表。研讨会活动将包括：(1)深入分析这一关键的NEON产品，(2)在大陆尺度上严格测试有关时空气候、生物和生物地球化学控制ANPP的理论，以及(3)利用最先进的数据模型融合方法将NEON数据与生态系统和全球碳模型相结合。后者将减少模型和经验ANPP数据之间的不确定性。将现有长期ANPP数据的时间深度与NEON提供的空间宽度相结合的数据集将成为大陆尺度、模型基准和测试关于陆地生态系统中ANPP的空间格局和时间控制的长期理论的宝贵资源。这些研讨会还将支持博士后研究人员的进一步培训，并将扩大对生态系统科学的参与。

Land-based ecosystems account for two-thirds of global plant matter production, despite covering only a quarter of the Earth's surface. Indeed, the amount of carbon stored in plants in these ecosystems is equal to 75% of the carbon in the atmosphere. To understand how the Earth is functioning, we need to understand what controls continental-scale patterns of plant production as well as its dynamics through time. This is especially the case because we are living in an era of rapid environmental change, and there may be extreme variation in production that occurs from year to year, with dramatic impacts on agriculture, forestry and biofuel production. The newly constructed National Ecological Observatory Network (NEON) will provide an unparalleled spatial array of above ground production estimates which can be used to describe continental scale patterns of carbon uptake and storage in plants. During NEON's first several years, how can a long-term trend be identified and distinguished from short-term fluctuations? Fortunately, there are data sets on plant biomass production from several other long-term experimental sites across the U.S that predate the new network. A series of working meetings is being organized with the goal of using existing long-term production plant production data, shorter-term (2-4 year) spatially distributed production data from other, older networks, and ecosystem models to provide critical temporal context for evaluating and interpreting NEON's initial data. These workshops will calibrate an essential baseline for NEON plant production data, enhance the value of this important measurement and ultimately ensure the success of NEON. The workshops will also contribute to the professional development of several early-career scientists. Society will benefit from a greater understanding of the patterns and dynamics of plant biomass production across the US continent.The overarching goal of these NEON aboveground net primary production (ANPP) workshops will be to assess and evaluate NEON's emerging spatial ANPP dataset in the context of existing complementary long-term and spatially distributed ANPP data, and as represented by the current generation of ecosystem and global land models. Workshop activities will include (1) an in-depth analyses of this key NEON product, (2) rigorously testing theory about spatial vs. temporal climatic, biotic, and biogeochemical controls on ANPP at a continental scale and (3) utilizing state-of-the-art data-model fusion approaches to integrate NEON data with ecosystem and global carbon models. The latter will reduce the uncertainty between modeled and empirical ANPP data. The data set that results from the merging of the temporal depth of existing long-term ANPP data with the spatial breadth provided by NEON will be an invaluable resource for continental scaling, model benchmarking and testing long-standing theory regarding spatial patterns and temporal controls of ANPP in terrestrial ecosystems. The workshops will also support further training for a postdoctoral researcher, and will broaden participation in ecosystem science.