Remote Sensing and GIS Laboratory (LAST-EBD), Estación Biológica de Doñana (CSIC), C/AméricoVespucio, 26, 41092, Sevilla, Spain.
Department of Conservation Biology, Estación Biológica de Doñana (CSIC), 41092, Sevilla, Spain.
Conserv Biol. 2018 Dec;32(6):1436-1447. doi: 10.1111/cobi.13154. Epub 2018 Jul 3.
Identifying priority areas for biodiversity conservation is particularly challenging in the marine environment due to the open and dynamic nature of the ocean, the paucity of information on species distribution, and the necessary balance between marine biodiversity conservation and essential supporting services such as seafood provision. We used the Patagonian seabird breeding community as a case study to propose an integrated and adaptive method for delimiting key marine areas for conservation. Priority areas were defined through a free decision-support tool (Marxan) that included projected at-sea distributions of seabirds (approximately 2,225,000 individuals of 14 species); BirdLife Important Bird and Biodiversity Areas (IBAs) for pelagic bird species; and the economic costs of potential regulations in fishing practices. The proposed reserve network encompassed approximately 300,000 km that was largely concentrated in northern and southern inshore and northern and central offshore regions. This reserve network exceeded the minimum threshold of 20% conservation of the abundance of each species proposed by the World Parks Congress. Based on marine currents in the study area, we further identified the 3 primary water masses that may influence areas of conservation priority through water inflow. Our reserve network may benefit from enhanced marine productivity in these highly connected areas, but they may be threatened by human impacts such as marine pollution. Our method of reserve network design is an important advance with respect to the more classical approaches based on criteria defined for one or a few species and may be particularly useful when information on spatial patterns is data deficient. Our approach also accommodates addition of new information on seabird distribution and population dynamics, human activities, and alterations in the marine environment.
确定海洋生物多样性保护的优先领域特别具有挑战性,因为海洋的开放性和动态性、物种分布信息的匮乏,以及海洋生物多样性保护和基本支持服务(如海鲜供应)之间的必要平衡。我们以巴塔哥尼亚海鸟繁殖群落为例,提出了一种综合和适应性的方法,用于划定关键海洋保护区。通过一个免费的决策支持工具(Marxan)来定义优先区域,该工具包括海鸟的预测海上分布(约 222.5 万只 14 种);海鸟的鸟类生境联盟(IBA);以及捕鱼实践中潜在法规的经济成本。拟议的保护区网络涵盖了约 30 万公里的区域,主要集中在北部和南部近岸以及北部和中部近海地区。该保护区网络超过了世界公园大会提出的每种物种丰度保护 20%的最低阈值。基于研究区域的海洋流,我们进一步确定了 3 种主要的水体,它们可能通过水流影响保护优先区域。我们的保护区网络可能受益于这些高度连通区域的海洋生产力增强,但它们可能受到海洋污染等人类活动的威胁。我们的保护区网络设计方法是一个重要的进步,相对于基于一个或几个物种定义的更经典方法,并且在空间模式信息数据不足时可能特别有用。我们的方法还可以容纳海鸟分布和种群动态、人类活动以及海洋环境变化方面的新信息。