safeGUARDing biodivErsity aNd critical ecosystem services across sectors andscales

监护人的主要使命是保护生物多样性及其对人民的贡献，使他们在政策和决策的前沿。这将通过开发面向用户的决策支持应用程序和利用多利益攸关方伙伴关系来实现。它们将考虑到跨部门和跨规模的政策和管理目标及优先事项，建立共识以解决数据差距、分析不确定性或相互冲突的目标，并评估实施适应性转型变革的备选方案。为此，GUARDEN将利用一套使用深度学习、地球观测和混合建模的方法和工具，增加标准化和地理本地化生物多样性数据的数量，建立新一代生物多样性和生态系统状态指标的预测模型。（人类和气候），并提出一套补充性的生态指标，以便纳入当地的管理和政策。保护者方法将应用于通过多利益攸关方伙伴关系进行的涉及最终用户和利益攸关方的部门案例研究，并解决关键的跨部门挑战（在生物多样性和能源/运输基础设施部署、农业和沿海城市发展的关系方面）。因此，保护区DSA将帮助参与挑战的利益攸关方提高对生态系统功能、生物多样性丧失及其驱动因素的整体理解，并探索替代决策的潜在生态和社会影响。在获得这一新知识和证据后，DSA将帮助最终用户不仅导航而且（重新）塑造政策格局，通过跨部门整合做出知情的全面决策。

GUARDEN’s main mission is to safeguard biodiversity and its contributions to people by bringing them at the forefront of policy and decision-making. This will be achieved through the development of user-oriented Decision Support Applications (DSAs), and leveraging on Multi-Stakeholder Partnerships (MSPs). They will take into account policy and management objectives and priorities across sectors and scales, build consensus to tackle data gaps, analytical uncertainties or conflicting objectives, and assess options to implement adaptive transformative change. To do so, GUARDEN will make use of a suite of methods and tools using Deep Learning, Earth Observation, and hybrid modelling to augment the amount of standardized and geo-localized biodiversity data, build-up a new generation of predictive models of biodiversity and ecosystem status indicators under multiple pressures (human and climate), and propose a set of complementary ecological indicatorslikely to be incorporated into local management and policy. The GUARDEN approach will be applied atsectoral case studies involving end users and stakeholders through Multi-Stakeholder Partnerships, and addressing critical cross-sectoral challenges (at the nexus of biodiversity and deployment of energy/transport infrastructure, agriculture, and coastal urban development). Thus, the GUARDEN DSAs shall help stakeholders engaged in the challenge to improve their holistic understanding of ecosystem functioning, biodiversity loss and its drivers and explore the potential ecological and societal impacts of alternative decisions. Upon the acquisition of this new knowledge and evidence, the DSAs will help end-users not only navigate but also (re-)shape the policy landscape to make informed all-encompassing decisions through cross-sectoral integration.