Resilience of invertebrate communities in grassland soils

复原力建立在新出现的复原力问题的基础上，作为制定可持续管理战略不可或缺的先决条件。最终目标是在基础研究的最高水平上填补有关土壤无脊椎动物群落的恢复力和抵抗力的知识空白。主要目标是（1）探索创新途径，以机械方式理解土壤群落对管理干扰的结构和功能反应，以及（2）深入了解控制可变土壤环境中无脊椎动物群落组装的过程。着眼于 DFG 生物多样性探索草地的管理强度范围，我们希望通过将 2009 年和 2011 年 BE 工作期间采集的样本与 2018 年新采集的样本进行比较，利用大规模长期方法的独特机会。复杂的实地和微观实验挑出了社区从土壤干扰中恢复的关键方面，通过旨在指定、扩展和验证结果来补充这一方法。创新的适应性概念框架的主要要素是基于特征的装配分析、干扰引起的装配过程的时间维度（“连续装配”）和瞬态种群动态。确定的参数包括土壤动物的所有相关分类群（主要在物种层面）、食物网结构、消费者同位素特征、土壤过程（例如温室气体释放、碳和氮周转）以及微生物多样性和生物量（PLFA）。一个固有的目标是使用弹性的新方法来完善统计工具并开发先进的指标来分析和量化土壤生物群的恢复。

RESOILIENCE builds on the emerging issue of resilience as an indispensable prerequisite for developing sustainable management strategies. The ultimate goal is to fill the knowledge gap regarding the resilience and resistance of soil invertebrate communities at the highest level of basic research. Major aims are (1) to explore innovative routes toward a mechanistic understanding of the structural and functional response of edaphic communities to management disturbances, and (2) to obtain a deep insight into the processes controlling the assembly of invertebrate communities in variable soil environments. Focusing on the range of management intensities occurring at the grasslands of the DFG Biodiversity Exploratories, we want to exploit the unique opportunity of a large-scale long-term approach by comparing our samples taken during our BE work in 2009 and 2011 to samples newly collected in 2018. Sophisticated field and microcosm experiments, which single out crucial aspects of community recovery from soil disturbance, complement this approach by are aiming at specifying, extending and validating the results. Major elements of the innovative RESOILIENCE conceptual framework are trait-based assembly analyses, temporal dimensions of disturbance induced assembly processes (‘successional assembly’), and transient population dynamics. Parameters determined include all relevant taxa of the soil fauna (mostly at the species level), food web structure, consumer isotopic signatures, soil processes (e.g. GHG release, C and N turnover) as well as microbial diversity and biomass (PLFA). An inherent objective is to use the novel approach of RESOILIENCE for refining statistical tools and developing advanced metrics to analyse and quantify the recovery of soil biota.