OFI SF7 Weaving different ways of knowing for community-based monitoring and forecasting in social-ecological coastal systems
OFI SF7 Weaving different ways of knowing for community-based monitoring and forecasting in social-ecological coastal systems
批准号:
576781-2022
负责人:
Noisette, FannyF
金额:
$1.82万
依托单位国家:
加拿大
项目类别:
Alliance Grants
财政年份:
2022
资助国家:
加拿大
项目状态:
已结题
起止时间:
2022-01-01 至 2023-12-31
中文摘要
沿海地区面临各种复杂的挑战,对土著和非土著沿海社区造成不确定的、大多是负面的后果。对于海草(Zostera marina、鳗草)草甸尤其如此,它们为社区提供基本服务,具有不同的相关价值,并暴露在多种压力源之下。由于驱动鳗草草地可预测性的机制仍然知之甚少,使用监测数据根据这些预测产生可靠的预测仍然是一个挑战。为了应对这些挑战,传统科学必须将沿海地区视为定居者、土著价值观、规范和当地认识方式相互作用的耦合社会-生态系统(SES)。在生态系统监测中纳入不同的视角对于共同设计监测战略至关重要,这些战略能够有效地跟踪空间和时间上的物理、生物地球化学和生态变化。此外,将不同的认识方式融入生态系统监测和社会动态可以极大地改进气候变化下海洋和沿海海洋生态系统的预测和可持续管理。它还有力地弥合了构成沿海经济特区的不同最终用户、权利人和利益攸关方之间的差距。我们的办法旨在编织多种了解方式,以发展全面监测,以满足新不伦瑞克eelgras草甸的社会-生态耦合预测模型,并支持由土著和非土著沿海社区领导的包容性可持续管理。这笔种子赠款资金将用于实现这一总体目标的第一步:与合作伙伴共同设计有意义和包容性的目标和议定书,供以后的发展和供资申请使用。
英文摘要
Coastal areas face a variety of complex challenges, with uncertain and mostly negative consequencesfor Indigenous and non-Indigenous coastal communities. This is especially true for seagrass (Zostera marina, eelgrass) meadows, which provide essential services to communities, have diverse values associated and are exposed to multiple stressors. Because the mechanisms driving eelgrass meadows predictability are still poorly understood, using monitoring data to produce reliable forecasts based on these predictions remains a challenge. To tackle these challenges, conventional science must consider coastal areas as coupled social-ecological systems (SES) where settler, Indigenous values, norms and local ways of knowing interact. The inclusion of different perspectives in ecosystem monitoring is essential to co-design monitoring strategies that can effectively track physical, biogeochemical, and ecological changes through space and time. In addition, weaving diverse ways of knowing into ecosystem monitoring and social dynamics can greatly improve predictions and the sustainable management of marine and coastal SES under climate change. It is also powerful in bridging the gap between the different end-users, rightsholders and stakeholders that make up coastal SES. Our approach aims at weaving multiple ways of knowing to develop holistic monitoring to feed coupled social-ecological forecasting models on eelgrass meadows in New Brunswick and support inclusive sustainable management led by Indigenous and non-Indigenous coastal communities. This seed grant funding will be used to reach the first step of this overall objective: co-designing with partners meaningful and inclusive goals and protocols for later developments and funding applications.
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