safeGUARDing biodivErsity aNd critical ecosystem services across sectors andscales

GUARDEN的主要任务是通过将生物多样性置于政策和决策的最前沿来保护生物多样性及其对人类的贡献。这将通过开发面向用户的决策支持应用程序（dsa）和利用多利益相关者伙伴关系（msp）来实现。他们将考虑跨部门和规模的政策和管理目标和优先事项，建立共识以解决数据差距、分析不确定性或目标冲突，并评估实施适应性转型变革的选择。为此，GUARDEN将利用一套方法和工具，利用深度学习、地球观测和混合建模来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在多重压力（人类和气候）下的预测模型，并提出一套可能被纳入地方管理和政策的互补生态指标。GUARDEN方法将通过多方利益相关者伙伴关系应用于涉及最终用户和利益相关者的部门案例研究，并解决关键的跨部门挑战（在生物多样性与能源/交通基础设施部署、农业和沿海城市发展的关系方面）。因此，GUARDEN DSAs将帮助参与挑战的利益相关者提高他们对生态系统功能、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。在获得这些新的知识和证据后，战略发展评估不仅将帮助最终用户导航，而且还将（重新）塑造政策格局，以便通过跨部门整合做出明智的全面决策。

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.