Connecting process-based vegetation model to data from the Biodiversity Exploratories to unravel the mechanisms that connect biodiversity, land-use and ecosystem function

生物多样性探索为多样性和土地利用对生态系统功能的影响提供了经验证据。然而，导致这种影响的机制在许多情况下仍然不完全清楚。这不仅对科学的好奇心提出了挑战，而且还限制了我们推断生态系统对环境条件的反应的能力，这些环境条件目前没有被生物多样性探索实验室的数据涵盖。为了应对这一挑战，我们建议使用LPJ-GUEST，一个基于过程的详细植被模型，以更详细地测试基于物种内和物种之间功能多样性的机制。我们将使用最先进的统计方法，根据所有探索实验室的森林数据来校准该模型，并随后比较管理多样性、土地利用和生态系统功能之间相互作用的不同假设机制的支持和估计强度。作为该项目的一项副业，一项试点研究将探讨将这一方法扩展到草原地块的可能性。

The Biodiversity Exploratories have provided empirical evidence for the influence of diversity and land use on ecosystem functions. The mechanisms that lead to this influence, however, are in many cases still not entirely clear. This poses not only a challenge to scientific curiosity, but also limits our ability to extrapolate ecosystem reactions towards environmental conditions that are not currently covered by the data from the Biodiversity Exploratories. To address this challenge, we propose to use LPJ-GUESS, a detailed process-based vegetation model, to test mechanisms based on functional diversity within and between species in more detail. We will use state-of-the-art statistical methods to calibrate the model to forest data from all Exploratories, and subsequently compare the support and the estimated strength of different hypothesized mechanisms governing the interaction between diversity, land use and ecosystem functioning. As a sideline of the project, a pilot study will examine a possible extension of this approach to the grassland plots.