Coordination Funds

协调基金

• 批准号: 498947868
• 负责人: Professorin Dr. Alexandra-Maria Klein
• 金额: --
• 依托单位: Professur für Naturschutz und Landschaftsökologie
• 依托单位国家: 德国
• 项目类别: Research Units
• 资助国家: 德国
• 项目状态: 未结题
• 来源: https://gepris.dfg.de/gepris/projekt/498947868?language=en
• 关键词: Coordination; Funds

Biodiversity-ecosystem functioning (BEF) research demonstrated the importance of biodiverse communities for promoting ecosystem functions such as biomass production, carbon sequestration, herbivory and predation. Likewise, plant diversity increases ecosystem stability but little is known on how tree diversity structures complex trophic interaction networks associated with plants. To understand how tree diversity is linked to biomass production, element cycling and species conservation, the DFG has initiated, with the Research Unit FOR 891, the largest forest biodiversity experiment worldwide located in subtropical China and thereby established the BEF-China research platform.Our proposed multi-disciplinary Research Unit MultiTroph will use the unique opportunity of the BEF-China Experiment to identify mechanisms underlying the relationships between biodiversity and ecosystem functions across multi-trophic levels. We aim to quantify species interactions of different trophic and functional groups of consumers with trees along an experimental tree diversity gradient to ultimately connect the different interaction types to large food webs. The studied interactions focus on functional redundancy and complementarity identified via specific interaction modules including key trophic levels. Our guiding principle is the expectation that quantitative trophic interaction networks will help to identify niche overlaps within interactions in generalised/redundant communities with overlapping niches in tree species-rich habitats. This will be compared to specialised/complementary communities with separated niches in species-poor habitats. Applicants are experts from different research fields including soil sciences, botany, ecological networks, animal ecology and nature conservation and we will intensify our long-standing collaborations in China. We aim to apply novel methods in collaboration with Chinese partners such as DNA barcoding/meta-barcoding or stable isotopes to identify realised food niches of various arthropods to better understand specific links of trophic interactions across multiple functional groups. Additionally, selected chemical elements and their stoichiometry between the soil, plants, herbivores and predators will be studied to understand how soil processes are interacting with tree diversity and how these plant-soil interactions structure trophic food webs. MultiTroph comprises two central projects (coordination, data management and synthesis) and six thematic subprojects with a focus on deadwood decomposition, herbivory (including pollen-collecting bees), seed predation, and predation by ants and wasps. Deadwood decomposition and element flows from soil to the plants to higher trophic levels are central parts to go beyond individual trophic links.We are convinced that our proposed Research Unit will critically extend existing forest biodiversity data to achieve a holistic understanding of multi-trophic food webs in forest ecosystems.

生物多样性-生态系统功能(BEF)研究表明，生物多样性群落对于促进生物量生产、碳固存、草食和捕食等生态系统功能的重要性。同样，植物多样性增加了生态系统的稳定性，但人们对树木多样性如何构成与植物相关的复杂营养相互作用网络知之甚少。为了了解树木多样性如何与生物量生产、元素循环和物种保护相联系，DFG与891年研究小组在亚热带中国发起了全球最大的森林生物多样性实验，从而建立了BEF-中国研究平台。我们建议的多学科研究小组将利用BEF-中国实验的独特机会，确定跨多营养层生物多样性和生态系统功能之间关系的机制。我们的目标是量化不同营养和功能消费者群体与树木的物种互动，沿着实验性的树木多样性梯度，最终将不同的互动类型连接到大型食物网。所研究的相互作用集中于通过特定的相互作用模块确定的功能冗余和互补性，包括关键的营养水平。我们的指导原则是期望定量的营养相互作用网络将有助于识别通用/冗余群落中相互作用中的生态位重叠，这些群落在树种丰富的生境中具有重叠的生态位。这将与在物种稀少的生境中具有独立生态位的专门/互补群落进行比较。申请者来自土壤科学、植物学、生态网络、动物生态学和自然保护等不同研究领域的专家，我们将加强与中国的长期合作。我们的目标是与中国合作伙伴合作，应用新的方法，如DNA条形码/元条形码或稳定同位素，以确定各种节肢动物实现的食物生态位，以更好地了解跨多个功能组的营养相互作用的具体联系。此外，还将研究土壤、植物、草食动物和捕食者之间的选定化学元素及其化学计量比，以了解土壤过程如何与树木多样性相互作用，以及这些植物-土壤相互作用如何构建营养食物网。Multitroph由两个中心项目(协调、数据管理和综合)和六个专题分项目组成，重点是枯木分解、草食(包括采集花粉的蜜蜂)、种子捕食以及蚂蚁和黄蜂的捕食。枯木分解和元素从土壤到植物到更高营养水平的流动是超越单个营养联系的核心部分。我们相信，我们拟议的研究单位将关键地扩展现有的森林生物多样性数据，以实现对森林生态系统中多营养食物网的整体理解。