Coastal SEES (Track 1): Understanding the links between local ecological knowledge, ecosystem services, and community resilience

沿海 SEES（轨道 1）：了解当地生态知识、生态系统服务和社区复原力之间的联系

• 批准号: 1325874
• 负责人: Tamara Ticktin
• 金额: $ 55.49万
• 依托单位: University of Hawaii
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2013
• 资助国家: 美国
• 起止时间: 2013-09-15 至 2018-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1325874&HistoricalAwards=false
• 关键词: Coastal; SEES; Track; Understanding; links

Human and natural systems are interlinked in complex ways. Understanding how these social-ecological systems are and can be resilient poses one of the most pressing problems of our world today. This is especially true for many coastal communities, which are vulnerable to changes. The local ecological knowledge systems developed over millennia have historically allowed residents of coastal communities to be resilient to the weather extremes that can characterize coastal communities. However, the complex patterns and processes involved in these systems, and their potential to enhance resilience to climate change today are poorly understood. This research is grounded in a conceptual framework that integrates social-ecological resilience theory and methods, ethnobiology and ecosystem service modeling. It draws on a combination of long-term existing social and ecological datasets, new experiments, and state-of the art climate and ecosystem service modeling in multiple sites to ask: (1) What are the relationships between local ecological knowledge systems and social-ecological resilience to change? and (2) How will different land and ocean uses affect social-ecological resilience and ecosystem services in linked ridge-reef settings, under different scenarios? This research involves an interdisciplinary, international research team that crosses the natural and social sciences and bridges the marine and terrestrial fields. This research is expected to have direct benefits to society by enhancing local capacity in decision making to manage coastal areas for sustainability, and contributing to policy development in resilience and adaptation to climate change. It is integrated with interdisciplinary and international educational and training activities for undergraduate and graduate students, especially members of groups underrepresented in the sciences. It will strengthen and extend an interdisciplinary cross-national network of researchers and resource managers. The models produced will provide predictive value for the management of Pacific Island coastal systems by identifying how ecosystem services and social-ecological resilience can be maximized.

人类和自然系统以复杂的方式相互联系。了解这些社会生态系统如何具有和能够具有弹性，是当今世界最紧迫的问题之一。对于许多易受变化影响的沿海社区来说尤其如此。几千年来发展起来的当地生态知识体系使沿海社区的居民能够适应极端天气，而极端天气是沿海社区的特征。然而，目前人们对这些系统所涉及的复杂模式和过程，以及它们增强气候变化抵御能力的潜力了解甚少。本研究基于社会生态弹性理论和方法、民族生物学和生态系统服务模型的概念框架。它结合了多个地点长期存在的社会和生态数据集、新的实验和最先进的气候和生态系统服务模型，提出了以下问题：(1)当地生态知识系统与社会生态变化复原力之间的关系是什么？(2)在不同情景下，不同的土地和海洋利用方式将如何影响连接脊礁环境下的社会生态恢复力和生态系统服务？这项研究涉及一个跨学科的国际研究团队，跨越自然科学和社会科学，连接海洋和陆地领域。预计该研究将通过提高地方决策能力来管理沿海地区的可持续性，并有助于制定抵御和适应气候变化的政策，从而为社会带来直接利益。它与跨学科和国际教育和培训活动相结合，面向本科生和研究生，特别是在科学领域代表性不足的群体的成员。它将加强和扩大跨学科的跨国家研究人员和资源管理人员网络。所产生的模型将通过确定如何最大限度地发挥生态系统服务和社会生态恢复能力，为太平洋岛屿海岸系统的管理提供预测价值。