1. Effects of climate change-induced events on forest ecosystem dynamics of composition, function and structure call for increased long-term, interdisciplinary and integrated research on biodiversity indicators, in particular within strictly protected areas with extensive non-intervention zones. The long-established concept of forest supersites generally relies on long-term funds from national agencies and goes beyond the logistic and financial capabilities of state- or region-wide protected area administrations, universities and research institutes.
2. We introduce the concept of data pools as a smaller-scale, user-driven and reasonable alternative to co-develop remote sensing and forest ecosystem science to validated products, biodiversity indicators and management plans. We demonstrate this concept with the Bohemian Forest Ecosystem Data Pool, which has been established as an interdisciplinary, international data pool within the strictly protected Bavarian Forest and Šumava National Parks and currently comprises 10 active partners. We demonstrate how the structure and impact of the data pool differs from comparable cases.
3. We assessed the international influence and visibility of the data pool with the help of a systematic literature search and a brief analysis of the results. Results primarily suggest an increase in the impact and visibility of published material during the life span of the data pool, with highest visibilities achieved by research conducted on leaf traits, vegetation phenology and 3D-based forest inventory.
4. We conclude that the data pool results in an efficient contribution to the concept of global biodiversity observatory by evolving towards a training platform, functioning as a pool of data and algorithms, directly communicating with management for implementation and providing test fields for feasibility studies on earth observation missions.

中文翻译：

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构思基本生物多样性变量 (EBV) 的实验室——“波西米亚森林生态系统数据池倡议”

1. 气候变化引起的事件对森林生态系统的组成、功能和结构动态的影响要求加强对生物多样性指标的长期、跨学科和综合研究，特别是在具有广泛非干预区的严格保护区内。长期建立的森林超级站点概念通常依赖于国家机构的长期资金，超出了州或地区级保护区管理机构、大学和研究机构的后勤和财务能力。
2. 我们引入了数据池的概念，作为一种规模较小、用户驱动的合理替代方案，以共同开发遥感和森林生态系统科学，以验证产品、生物多样性指标和管理计划。我们通过波西米亚森林生态系统数据池展示了这一概念，该数据池是在严格保护的巴伐利亚森林和舒马瓦国家公园内建立的跨学科国际数据池，目前由 10 个活跃的合作伙伴组成。我们展示了数据池的结构和影响与可比案例有何不同。
3. 我们借助系统的文献搜索和对结果的简要分析，评估了数据池的国际影响力和知名度。结果主要表明在数据池的生命周期内已发表材料的影响和可见性有所增加，通过对叶子性状、植被物候学和基于 3D 的森林清单进行的研究实现了最高的可见性。
4. 我们得出的结论是，数据池通过发展成为一个培训平台、充当数据和算法池、直接与管理层沟通实施并为地球观测可行性研究提供测试场，从而对全球生物多样性观测站的概念做出了有效贡献。任务。