Sustainable management of biodiversity in agricultural landscapes is a European Union objective supported on multifunctional agri-environment measures. The effectiveness of specific practices implemented to reverse declines in farmland biodiversity should be monitored using straightforward methodologies and indicators. This work outlines an innovative hybrid framework to predict the response of biodiversity indicators to farm management options. We exemplify the framework application, integrating monitoring, statistics and spatio-temporal modelling procedures with a case study using flying vertebrates’ patterns for indicating biodiversity trends. The indicators considered depict significant divergences within contrasting on-farm implemented environmental management options. In fact, while birds’ abundance was expected to increase within environmentally friendly options, bats passes showed fluctuating patterns. Overall, the framework and indicators selected were considered relevant for biodiversity assessments in vineyard landscapes. This approach also provides a promising baseline to support sustainable management practices and options for other agroecosystems, derived from ecological models with increased predictive power and intuitiveness to decision makers and environmental managers.

农业景观中生物多样性的可持续管理是欧洲联盟在多功能农业环境措施的支持下的目标。应该使用简单的方法和指标来监测为扭转农田生物多样性下降而实施的特定做法的有效性。这项工作概述了一个创新的混合框架，以预测生物多样性指标对农场管理方案的反应。我们以应用飞行脊椎动物的模式来指示生物多样性趋势的案例研究为例，举例说明了框架的应用，集成了监视，统计和时空建模程序。所考虑的指标在农场实施的环境管理方案之间存在明显差异。事实上，在环境友好的范围内，预计鸟类的数量会增加，而蝙蝠的传球则表现出波动的格局。总体而言，所选择的框架和指标被认为与葡萄园景观中的生物多样性评估有关。这种方法还为支持其他农业生态系统的可持续管理实践和选择提供了有希望的基准，这些方法和方法源于生态模型，对决策者和环境管理人员具有增强的预测能力和直观性。