Context: Most of the effort dedicated to the conservation of biodiversity in the European Union is applied through the establishment and maintenance of the Natura 2000 network, the world’s most extensive network of conservation areas. European Member State must actively manage these sites and report the state of the species listed in the Annexes of the Habitat and Birds Directives. Fulfilling these duties is a challenging task, especially when money available for conservation is limited. Consequently, how to optimise the use of the available economic resources is a primary goal for reserve managers.

Aims: In the present study, we focussed on data-sharing, and we analysed whether data-sharing among institutions may boost the performance of habitat suitability models (HSMs).

Methods: We collected presence data about three species of reptiles in three different protected areas of northern Italy. Then, we built HSMs under the following two different data-sharing policies: data-sharing of species’ occurrence among the different managers of the protected areas, and not sharing the occurrence data among the different managers. To evaluate how sharing the occurrence data influences the reliability of HSMs in various situations, we compared model performances under several sampling-effort levels.

Key results: Results show that data-sharing is usually the best strategy. In most cases, models built under the data-sharing (DS) strategy showed better performance than did data-un-sharing (DU) models. The data-sharing strategy showed advantages in model performance, notably at low levels of sampling effort.

Conclusions: Overcoming administrative barriers and share data among different managers of protected areas allows obtaining more biologically meaningful results.

Implications: Data-sharing among protected areas could allow improving the reliability of future management actions within the Natura 2000 network.

背景：欧盟致力于保护生物多样性的大部分努力是通过建立和维护Natura 2000网络（该网络是世界上最广泛的保护区网络）来进行的。欧洲成员国必须积极管理这些地点，并报告《人居和鸟类指令》附件所列物种的状态。履行这些职责是一项艰巨的任务，尤其是在用于保护的资金有限的情况下。因此，如何优化现有经济资源的利用是储备管理者的主要目标。

目的：在本研究中，我们专注于数据共享，并且我们分析了机构之间的数据共享是否可以提高栖息地适应性模型（HSM）的绩效。

方法：我们收集了意大利北部三个不同保护区中三种爬行动物的存在数据。然后，我们在以下两种不同的数据共享策略下构建了HSM：在保护区的不同管理者之间共享物种发生的数据，而在不同管理者之间不共享发生数据。为了评估在各种情况下共享发生数据如何影响HSM的可靠性，我们比较了几种采样努力级别下的模型性能。

关键结果：结果表明，数据共享通常是最好的策略。在大多数情况下，在数据共享（DS）策略下构建的模型表现出比数据非共享（DU）模型更好的性能。数据共享策略在模型性能方面显示出优势，尤其是在采样工作量较低的情况下。

结论：克服行政障碍并在保护区的不同管理人员之间共享数据，可以获得更具生物学意义的结果。

含义：在保护区之间共享数据可以提高Natura 2000网络中未来管理行动的可靠性。