Optimizing future networks of marine protected areas in response to global change by combining genetic connectivity and biophysical models

通过结合遗传连通性和生物物理模型，优化未来海洋保护区网络以应对全球变化

• 批准号: 430706-2012
• 负责人: Fortin, MarieJosée
• 金额: $ 7.58万
• 依托单位: University of Toronto
• 依托单位国家: 加拿大
• 项目类别: Strategic Projects - Group
• 财政年份: 2012
• 资助国家: 加拿大
• 起止时间: 2012-01-01 至 2013-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=516622
• 关键词: Optimizing; future; networks; marine; protected

The conservation of marine biodiversity and the sustainability of fisheries are major global environmental and economic challenges. One management tool that addresses these concerns is the development of Marine Protected Areas (MPAs). Although MPAs can contribute to the management of fisheries, uncertainties remain about the optimal spatial design of MPAs that will maintain regional populations, especially since changes in fishing pressure and environmental conditions may both alter connectivity patterns. Given that the number of MPAs is likely to increase substantially, if parties committed to the Convention on Biological Diversity are to meet the target of protecting 10% of the world's oceans by 2020, it is becoming urgent to effectively measure and incorporate connectivity between populations in the selection of new MPAs within MPA networks. A reliable measure of connectivity should include both data about species dispersal capacity and genetic differen-tiation. However, at present, we still lack the large-scale genetic data and dispersal models necessary to define optimal spatial design of MPAs, and evaluate the effects of climate change. In this project, we combine biophysical oceanographic models, network connectivity models, genetic-demographic models and genomic tools to: (i) estimate genetic connectivity for four exploited species (three fishes, one invertebrate) in two regions where MPAs networks are established; and (ii) compare alternative scenarios of potential impacts of future climate change and fishing pressure on genetic connectivity.

海洋生物多样性的养护和渔业的可持续性是重大的全球环境和经济挑战。解决这些问题的一个管理工具是建立海洋保护区。虽然海洋保护区可以促进渔业管理，但在海洋保护区的最佳空间设计方面仍然存在不确定性，这将维持区域种群，特别是因为捕捞压力和环境条件的变化都可能改变连通模式。鉴于海洋保护区的数量可能会大幅增加，如果致力于《生物多样性公约》的缔约方要实现到2020年保护世界10%海洋的目标，那么在海洋保护区网络内选择新的海洋保护区时，有效衡量和纳入种群之间的连通性就变得紧迫起来。一个可靠的连通性测度应该包括物种扩散能力和遗传分化两方面的数据。然而，目前，我们仍然缺乏大规模的遗传数据和扩散模型所必需的确定最佳的空间设计的海洋保护区，并评估气候变化的影响。在这个项目中，我们结合联合收割机生物物理海洋学模型，网络连接模型，遗传人口模型和基因组工具：（一）估计遗传连接的四个开发物种（三种鱼类，一种无脊椎动物）在两个地区的海洋保护区网络建立;和（二）比较未来气候变化和捕捞压力对遗传连接的潜在影响的替代方案。