Towards an Integrated Consistent European LULUCF Monitoring and Policy Pathway Assessment Framework - PathFinder

需要有关于森林现状的准确资料来预测森林管理的影响，从而作出知情的政策决定。为了为这些政策目标的实施提供信息和支持，PathFinder将开发并展示一个创新的综合森林监测和路径评估系统。该系统将首次允许欧盟对LULUCF部门进行一致的温室气体报告，但同时将这种监测能力与先进的路径评估相结合，以帮助规划实现政策目标的基本政策和实施步骤。对森林的持续监测有助于控制目标的实现和可能的路径调整。PathFinder通过最有效地结合使用现场和遥感数据进行高分辨率测绘和精确估计森林属性，超越了目前的技术水平。在欧洲联盟开展业务的最大的森林监测组织之间的合作，即国家森林清单和在《国际森林合作方案》下设立的网络，提供了统一的地面真实资料的丰富数据库，并将得到对一贯评价的实地监测场址的创新实地调查的补充。先进的测量设备将提供视听数字孪生，包括持续监测森林的遗传特性，以最大限度地提高新数据的透明度和互操作性。对组合数据库的分析将提高我们对C池之间通量的理解。监测系统的精确森林信息将提供给一个新的情景框架，以预测未来的森林情景和森林管理备选办法的结果。这些情景有助于森林生态系统的权衡分析，是路径评估的潜在通道。途径评估是一项共同创造活动，其中新的监测和情景研究与欧盟层面的利益相关者的愿景和知识相结合。

Precise information on the current status of forests is required to forecast forest management effects which allows informed policy decisions. To inform and support the implementation of these policy objectives, PathFinder will develop and demonstrate an innovative integrated forest monitoring and pathway assessment system. This system, for the first time, will allow a consistent EU greenhouse gas reporting of the LULUCF sector, but, at the same time combine such monitoring capability with advanced pathway assessment to help plan the essential policy and implementation steps towards achieving the policy targets. The continuous monitoring of forests facilitates controlling of target achievement and possibly adjustment of pathways. PathFinder goes beyond the state-of-art by the most efficient, combined use of field and remotely sensed data for high-resolution mapping and precisely estimating forest attributes. The cooperation of the largest forest monitoring organizations operating in the EU, i.e., national forest inventories(NFIs) and the network installed under ICP Forests, provides a rich data base of harmonized ground truth information which will be complemented by an innovative field survey of consistently assessed field monitoring sites. Advanced measurement devices will provide an audio-visual digital twin including genetic properties of the consistently monitored forest for maximum transparency and interoperability of new data. The analysis of combined databases will improve our understanding of fluxes among C pools. The precise forest information of the monitoring system will feed into a new scenario framework that forecasts future forest scenarios and outcomes of forest management alternatives. The scenarios facilitate trade-off analysis of forest ES and are potential alleys in the pathway assessment. The pathway assessment is a co-creation activity in which novel monitoring and scenario studies are integrated with EU-level stakeholder visions and knowledge.