Community-and spatio-ecological approach for adaptive control rules in ecosystem management

为了建立超越目标物种的生态系统管理的理论和方法，我们开发了各种模型，用于预测未来的生态系统状况。白木原博士开发了一种利用空间分布普查数据估算江豚濒危物种种群数量的方法。牧野博士调查了知床世界遗产地沿海渔业管理的生态系统方法的有效性和必要性以及日本渔业领土的特点。Amemiya博士与国际科学家网络合作，推进了富营养化湖泊生态系统的恢复力理论。小池博士开发了一种利用地理信息系统（GIS）预测外来物种空间分布的方法。松田博士提出了“最大可持续生态系统服务”的概念，扩展了最大可持续产量的经典理论。我们证实适应性管理对于生态系统管理并不是万能的，但我们需要阐明生态系统的结构和机制，并为每个生态系统制定“量身定制”的管理方案。我们审查了“海洋保护区”、“走廊”、“共同管理”和“生态系统服务的社会经济评价”等几个“新”概念的有效性。

To establish theory and methods of ecosystem management beyond a target species, we develop various models for future projections of ecosystem status. Dr. Shirakihara developed a method of population estimation for endangered species of finless porpoise using spatial distribution census data. Dr. Makino investigated the validity and necessity of ecosystem approach for coastal fisheries management in Shiretoko World Heritage site and characteristics of Japanese fisheries territoriarity. Dr. Amemiya made an advance for resilience theory of eutrophic lake ecosystems in collaboration with international scientists network. Dr. Koike developed a projection method for spatial distribution of exotic species using geographical information systems (GIS). Dr. Matsuda proposed a concept of "maximum sustainable ecosystem services" that expands a classical theory of maximum sustainable yield.We confirmed that adaptive management is not omnipotent for ecosystem management, but we need to elucidate structure and mechanism of the ecosystem and make a "tailor-made" management scheme for each ecosystem. We examined validity of several "new" concepts, "marine protected areas", "corridor", "co-management" and "socio-economic evaluation of ecosystem services".