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如此普遍，以至于联合国宣布2021-2030年为生态系统恢复十年，基于全球日益认识到退化的生态系统尚未完全恢复以及人类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恢复力机制，从而使所需的特性在无需持续干预的情况下自我延续。然而，复苏仍然出现延迟。我的研究始终表明，由于不匹配的恢复行动使退化的河流保持在不健康的状态，因此退化的河流仍然具有弹性。采取多样化和包容性的方法，朝着新框架——农业河流综合症——迈进，将汇集退化的生物和非生物属性，以加快确保生态系统全面恢复的努力。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范例来解决农业溪流的退化和恢复问题，本文称为农业溪流综合症。该计划将利用当地和土著知识系统以及多种研究方法，包括实地调查以捕获河岸内流和生态系统功能关系，数据合成以提取和赋予基于特征的群落属性并评估全球恢复文献，并在该领域实施时空研究方法，该方法将利用空间上不同的地点作为长期生态时间序列的代理。我们将利用该计划作为在现实世界环境中进行更长期、更大规模的河流恢复实验的一步。 在未来五年中，我将授权并培训 HQP，以检验负阻力和复原力机制（sensu Barrett 等人，2021）支撑延迟的生态系统恢复这一假设。我们将对河岸植物和河内底栖大型无脊椎动物进行实地调查，以量化跨系统关系，应用功能性状数据来赋予这些关系，并就哪些恢复行动有可能激发和维持所需的相互作用产生假设。该计划几乎完全针对该地区的农业景观，需要采取公平、多样化和包容性的研究方法，让定居者和土著知识系统、当地社区、从业者、政府和行业都作为研究伙伴参与，以实现短期目标并努力实现长期愿景。