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

为了预测森林管理的影响，以便作出知情的决策，需要关于森林现状的准确资料。为了宣传和支持这些政策目标的实施，Patheconomy将开发和展示一个创新的综合森林监测和路径评估系统。这一系统将首次使欧盟对土地利用、土地利用的变化和林业部门的温室气体报告保持一致，但同时将这种监测能力与先进的路径评估联合收割机结合起来，以帮助规划实现政策目标的基本政策和执行步骤。对森林的持续监测有助于控制目标的实现情况，并可能有助于调整途径。该系统以最有效的方式综合利用实地和遥感数据进行高分辨率绘图和精确估计森林属性，从而超越了最先进的水平。在欧盟运作的最大的森林监测组织的合作，即，国家森林清单和在森林问题国际合作方案下建立的网络提供了一个丰富的统一地面实况信息数据库，并将通过对经过一致评估的实地监测点进行创新性实地调查加以补充。先进的测量设备将提供一个视听数字孪生模型，包括持续监测森林的遗传特性，以实现新数据的最大透明度和互操作性。对联合数据库的分析将提高我们对碳库之间通量的理解。监测系统的精确森林信息将输入一个新的设想框架，预测未来的森林设想情况和森林管理替代办法的结果。这些情景有助于森林ES的权衡分析，是路径评估中的潜在途径。路径评估是一项共同创造的活动，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.