The Agricultural Stream Syndrome (AgSS): Re-igniting healthy resilience through restoration

农业河流综合症（AgSS）：通过恢复重新激发健康的恢复力

• 批准号: RGPIN-2022-04904
• 负责人: Febria, Catherine
• 金额: $ 2.11万
• 依托单位: University of Windsor
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2022
• 资助国家: 加拿大
• 起止时间: 2022-01-01 至 2023-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=755160
• 关键词: Agricultural; Stream; Syndrome; AgSS; Re

Human impacts on the Earth's ecosystems are now so pervasive that the UN has declared 2021-2030 the Decade of Ecosystem Restoration, building on the growing global acceptance that degraded ecosystems are not fully recovering and human-driven climate change has placed us in a `code red' state of emergency. Given that streams and river ecosystems serve as hotspots of biodiversity and human impacts, their condition is representative of their surrounding landscapes. As such, streams serve as model systems explore mechanisms behind restoration delay and success. Theoretically, the goal of restoration is to restore positive resistance and resilience mechanisms such that desired properties are self-perpetuating without ongoing interventions. However, recovery continues to show delays. My research has consistently shown that degraded streams remain resilient due to mismatched restoration actions that keep them in an unhealthy state. Taking a diverse and inclusive approach, progress towards a new framework - the Agricultural Stream Syndrome - will bring together the biotic and abiotic attributes of degradation to accelerate efforts to ensure full ecosystem recovery. To pivot the focus of restoration on accelerated ecosystem recovery, the long-term vision for this program is to develop a new paradigm for addressing degraded - and restoring - agricultural streams, herein called the Agricultural Stream Syndrome. This program will engage local and Indigenous knowledge systems alongside diverse research methodologies that include field surveys to capture riparian-instream and ecosystem function relationships, data syntheses to extract and confer trait-based community properties and assess the global restoration literature, and, to implement a space-for-time study approach in the field which will engage spatially distinct sites as proxies for long-term ecological time series. We will use this program as a step towards longer-term, larger scale stream restoration experiments on the ground, in real world contexts. In the coming five years, I will empower and train HQP to test the hypothesis that negative resistance and resilience mechanisms (sensu Barrett et al. 2021) underpin delayed ecosystem recovery. We will conduct field surveys on riparian plants and in-stream benthic macroinvertebrates to quantify cross-system relationships, apply functional trait data to confer these relationships and generate hypotheses on what restoration action(s) have the potential to ignite and sustain desired interactions. Working almost entirely on agricultural landscapes in the region, this program necessitates an equitable, diverse and inclusive approach to the research, engaging Settler and Indigenous knowledge systems, local communities, practitioners, government and industry all as research partners to achieve the short-term objectives and work towards the long-term vision.

人类对地球生态系统的影响现在是如此普遍，以至于联合国宣布2021-2030年为生态系统恢复十年，这是基于全球越来越多地接受退化的生态系统没有完全恢复以及人为驱动的气候变化使我们处于“红色代码”紧急状态。鉴于溪流和河流生态系统是生物多样性和人类影响的热点，它们的状况代表了周围的景观。因此，流作为模型系统探索恢复延迟和成功背后的机制。从理论上讲，恢复的目标是恢复积极的抵抗力和弹性机制，使所需的属性是自我延续，而无需持续的干预。然而，恢复工作继续出现拖延。我的研究一直表明，由于不匹配的恢复操作使降级的流保持在不健康的状态，因此降级的流仍然具有弹性。采取多样化和包容性的办法，在建立一个新的框架-农业溪流综合症-方面取得进展，将把退化的生物和非生物属性结合起来，以加快努力，确保生态系统全面恢复。为了将恢复的重点放在加速生态系统恢复上，该计划的长期愿景是开发一种新的模式来解决退化和恢复农业溪流，本文称为农业溪流综合症。该计划将参与当地和土著知识体系以及各种研究方法，包括实地调查，以捕捉河岸和生态系统功能的关系，数据综合，以提取和赋予基于特征的社区属性，并评估全球恢复文献，并在该领域实施时空研究方法，将空间上不同的站点作为长期生态时间序列的代理。我们将使用这个程序作为一个步骤，长期，更大规模的流恢复实验在地面上，在真实的世界的背景下。 在接下来的五年里，我将授权和培训HQP来测试负抗性和弹性机制（感巴雷特等人2021）支撑延迟生态系统恢复的假设。我们将对河岸植物和河流底栖大型无脊椎动物进行实地调查，以量化跨系统的关系，应用功能性状数据来赋予这些关系，并生成关于什么样的恢复行动（S）有可能点燃和维持所需的相互作用的假设。该计划几乎完全针对该地区的农业景观，需要采取公平，多样和包容的研究方法，将定居者和土著知识体系，当地社区，从业人员，政府和行业都作为研究合作伙伴，以实现短期目标并实现长期愿景。