Effects of Invasive Non-Native Species within ecological networks and consequences for ecosystem function

生态网络中外来入侵物种的影响及其对生态系统功能的影响

• 批准号: 2620848
• 金额: --
• 依托单位: University of Stirling
• 依托单位国家: 英国
• 项目类别: Studentship
• 财政年份: 2021
• 资助国家: 英国
• 起止时间: 2021 至 无数据
• 项目状态: 未结题
• 来源: https://gtr.ukri.org/projects?ref=studentship-2620848
• 关键词: Effects; Invasive; Non; Native; Species

Invasive Non-Native Species (INNS) are considered a major driver of biodiversityloss. There is increasing empirical evidence of the direct and indirect effects ofinvasive non-native species on biodiversity but the scale of such studies is oftenlimited. We propose to extend invasion models to encompass ecological networksand explore the hypothesis that invasive non-native species weaken the strength ofinteractions within ecological networks with negative consequences for ecosystemfunction. Most studies on the impacts of invasions focus on the impacts of onespecies on another and are limited to the population-level, thereby avoiding thecomplexities of a community approach whereby assemblages of species would beincluded. Oversimplified studies could result in misleading conclusions because ofthe importance of positive and negative feedback mechanisms, for example thosemediated by parasites, throughout communities and consequently resultant effectson the functions they deliver. There is considerable scope to improve understandingby taking a network approach to unravelling impacts of invasive non-native speciesand so enhance predictions of impact and community resilience so informingdecision-making tools such as risk assessments.Using modelling approaches to explore ecological networks the student will addressquestions including:In what ways do the strength of interactions change within ecological networksincluding invasive non-native species?How do such changes effect ecosystem function?What is the relevance to ecosystem services approaches and Nature'sContributions to People (as defined by the Intergovernmental Science-PolicyPlatform on Biodiversity and Ecosystem Services)?The student will work alongside ecologists with expertise in compiling and analysinglarge datasets within the Centre for Ecology & Hydrology and the University ofStirling. The Non-Native Species Secretariat will provide policy and communicationcontext. The student will have access to large-scale and long-term datasets oninvasive non-native species alongside long-term monitoring time series from acrossthe globe for terrestrial and freshwater systems and other relevant data layers(including climate and land-use) to explore interactions among drivers of change.The student will build a database of ecological interactions using life-history traitsand occurrence datasets to underpin analysis on ecological networks to exploreeffects of invasive non-native species on ecosystem function and resilience.The studentship, although within the Biodiversity Science Area, will span otherscience areas including Hydro-Climate Risks. This project will develop and applyanalytical techniques to address NERC goals of understanding and predicting howour planet works and managing our environment responsibly.

侵入性的非本地物种（INNS）被认为是生物多样性的主要驱动力。越来越多的经验证据表明，非本地物种对生物多样性的直接和间接影响，但这种研究的规模通常是有限的。我们建议扩展入侵模型，以涵盖生态网络，并探讨侵入性非本地物种会削弱生态网络内部互动强度的假设，对生态系统功能产生负面影响。关于入侵影响的大多数研究都集中在彼此对另一个人的影响上，并且仅限于人口级别，从而避免了社区方法的综合性，从而使物种的组合将被延长。过度简化的研究可能会导致误导性结论，因为正面和负面反馈机制的重要性，例如寄生虫在整个社区中所介绍的，因此产生了效果。通过采用网络方法来揭示侵入性非本地物种的影响并增强对影响和社区弹性的预测，因此有很大的范围来提高对诸如风险评估的制造工具的预测。探索生态网络的建模方法探索学生将遇到的疑问，包括：在哪种方式上互动的互动效果？与生态系统服务的相关性方法和自然界对人的关系（由政府间的科学界面部关于生物多样性和生态系统服务的定义）？学生将与具有汇编和分析数据集的生态学专业知识的生态学家一起工作。非本地物种秘书处将提供政策和通信秘密。该学生将有能力访问全球播放性非本地物种的大规模和长期数据集，以及从全球范围内的长期监控时间序列，用于陆地和淡水系统以及其他相关的数据层以及其他相关数据层（包括气候和土地利用），以探索变化的驱动因素之间的互动。关于生态系统功能和韧性的侵入性非本地物种的研究。尽管在生物多样性科学领域内，学生训练将跨越包括水力气候风险在内的其他良心领域。该项目将开发和应用分析技术来解决NERC的目标，以理解和预测Howour Planet的工作和负责任地管理环境。