Illuminating biodiversity changes in the ‘Black Box’

阐明“黑匣子”中的生物多样性变化

• 批准号: 452674476
• 负责人: Professor Dr. Nico Eisenhauer
• 金额: --
• 依托单位: Deutsches Zentrum für integrative Biodiversitätsforschung (iDiv)
• 依托单位国家: 德国
• 项目类别: Research Grants
• 资助国家: 德国
• 项目状态: 未结题
• 来源: https://gepris.dfg.de/gepris/projekt/452674476?language=en
• 关键词: Illuminating; biodiversity; changes; Black; Box

Soil is often described as a ‘black box’, as surprisingly little is knownabout the high levels of biodiversity that reside there. Foraboveground organisms, we have good knowledge of the distributionof the species and how they might change under future humanimpacts. Yet despite the fact that soil organisms provide a wide varietyof ecosystem functions, we have very limited knowledge of theirdistribution, and how their diversity might change in the future. Inorder to create accurate and generalizable models of biodiversity, theunderlying data needs to be representative of the entire globe. Yeteven with our recently compiled global earthworm dataset of over11000 sites, there are gaps across large regions. These gaps areconsistent across many other datasets of both above- and belowgrounddiversity. In order to fill the gaps we propose a samplingnetwork (SoilFaUNa), to create a comprehensive database of soilmacrofauna diversity and soil functions (e.g., decomposition rates).Building on the existing dataset of earthworm diversity and early datafrom the SoilFaUNa project, we will investigate changes in earthwormdiversity. From our current work, we know that both climate and landuseare main drivers in predicting earthworm diversity, but both willchange under future scenarios and may alter ecosystem functions.We will, using space-for-time substitution models, estimate howearthworm diversity and their functions might change in the future,modelling earthworm diversity as a function of climate, land use andsoil properties and predicting based on future scenarios. Previousstudies of aboveground diversity changes over time using time-seriesanalysis have found no-net-loss in richness, but analyses have beencriticisms. We aim to use time-series data on earthworms to move thisdebate forward, by using data and statistical methods that wouldaddress the criticisms, whilst increasing our knowledge on thisunderstudied soil group. Field experiments and micro-/meso-cosmexperiments have been used to investigate the link between a numberof soil organisms and ecosystem functions under few environmentalconditions. Meta-analyses, which can produce generaliseable resultscan only answer questions for which there are data. Thus, we havelacking on information on the link between the entire community ofsoil fauna and ecosystem functions, and impact of changes to the soilfauna community across environmental contexts. Using data collectedfrom the SoilFaUNa project, we will for the first time synthesizeglobally distributed specifically-sampled data to model how changesin the community composition of soil macrofauna (due to changes inland use, climate or soil properties) impacts the ecosystem functions in the soil.

土壤经常被描述为“黑匣子”的疾病，我们对物种有很好的了解以及在未来的人类影响下可能会发生变化。在我们最近汇编的11000个地点的earth数据集中，多样性的evente。土壤莫克莫福铁纳和土壤功能的数据库（例如，减压率）。从我们当前的工作中构建earth worm diverl和ydata，从我们当前的工作中，我们知道气候和E主要驱动因素在预测earth虫的多样性下都会散发出来场景和可能会改变生态系统功能。我们将使用空间替代模型，估算霍德斯虫多样性及其功能可能会在将来发生变化，将earth多样性作为气候，土地使用和土壤属性的函数建模，并根据未来的场景进行预测。 - 在少数环境条件下建模如何改变土壤大氟纳州的社区组成（由于内陆使用，气候或土壤特性的变化）会影响土壤中的生态系统功能。