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

将基于过程的植被模型与生物多样性探索中心的数据连接起来，以揭示生物多样性、土地利用和生态系统功能之间的联系机制

• 批准号: 252167192
• 负责人: Professor Dr. Carsten Dormann
• 金额: --
• 依托单位: Lehrstuhl für Biometrie und Umweltsystemanalyse
• 依托单位国家: 德国
• 项目类别: Infrastructure Priority Programmes
• 财政年份: 2014
• 资助国家: 德国
• 起止时间: 2013-12-31 至 2018-12-31
• 项目状态: 已结题
• 来源: https://gepris.dfg.de/gepris/projekt/252167192?language=en
• 关键词: Connecting; process; based; vegetation; model

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.

生物多样性探索站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，在许多情况下，导致这种影响的机制仍然不完全清楚。这不仅对科学好奇心提出了挑战，而且限制了我们推断生态系统对环境条件的反应的能力，这些环境条件目前尚未被生物多样性探索站的数据所覆盖。为了应对这一挑战，我们建议使用LPJ-GUESS，一个详细的过程为基础的植被模型，测试机制的基础上功能多样性内和物种之间的更详细。我们将使用国家的最先进的统计方法来校准模型的森林数据，从所有的探索，随后比较的支持和不同的假设机制之间的相互作用，多样性，土地利用和生态系统功能的估计强度。作为该项目的一项附带工作，将进行一项试点研究，探讨是否可能将这一方法推广到草原地块。

项目成果

An R package facilitating sensitivity analysis, calibration and forward simulations with the LPJ-GUESS dynamic vegetation model

• DOI: 10.1016/j.envsoft.2018.09.004
• 发表时间: 2019-01
• 期刊: Environ. Model. Softw.
• 作者: M. Bagnara;R. S. González;Stefan Reifenberg;J. Steinkamp;T. Hickler;C. Werner;C. Dormann;F. Hartig