Department of Sciences and Technologies, Marine Ecology Laboratory, Parthenope University of Naples, Italy; Consorzio Nazionale Interuniversitario per le Scienze del Mare (CoNISMa), Rome, Italy.
Department of Sciences and Technologies, Marine Ecology Laboratory, Parthenope University of Naples, Italy; Consorzio Nazionale Interuniversitario per le Scienze del Mare (CoNISMa), Rome, Italy.
J Environ Manage. 2018 May 15;214:45-55. doi: 10.1016/j.jenvman.2018.02.091. Epub 2018 Mar 5.
Marine Protected Areas are considered key tools for conservation of coastal ecosystems. However, many reserves are characterized by several problems mainly related to inadequate zonings that often do not protect high biodiversity and propagule supply areas precluding, at the same time, economic important zones for local interests. The Gulf of Naples is here employed as a study area to assess the effects of inclusion of different conservation features and costs in reserve design process. In particular eight scenarios are developed using graph theory to identify propagule source patches and fishing and exploitation activities as costs-in-use for local population. Scenarios elaborated by MARXAN, software commonly used for marine conservation planning, are compared using multivariate analyses (MDS, PERMANOVA and PERMDISP) in order to assess input data having greatest effects on protected areas selection. MARXAN is heuristic software able to give a number of different correct results, all of them near to the best solution. Its outputs show that the most important areas to be protected, in order to ensure long-term habitat life and adequate propagule supply, are mainly located around the Gulf islands. In addition through statistical analyses it allowed us to prove that different choices on conservation features lead to statistically different scenarios. The presence of propagule supply patches forces MARXAN to select almost the same areas to protect decreasingly different MARXAN results and, thus, choices for reserves area selection. The multivariate analyses applied here to marine spatial planning proved to be very helpful allowing to identify i) how different scenario input data affect MARXAN and ii) what features have to be taken into account in study areas characterized by peculiar biological and economic interests.
海洋保护区被认为是保护沿海生态系统的关键工具。然而,许多保护区存在多种问题,主要与分区不足有关,这些分区往往无法保护高生物多样性和繁殖体供应区,同时也排除了对当地利益具有重要经济意义的区域。这里以那不勒斯湾为研究区域,评估在保护区设计过程中纳入不同保护特征和成本的效果。特别是使用图论开发了八个情景,以确定繁殖体源斑块和渔业及开发活动作为当地人口使用成本。使用多元分析(MDS、PERMANOVA 和 PERMDISP)比较了 MARXAN(一种常用于海洋保护规划的软件)编制的情景,以评估对保护区选择影响最大的输入数据。MARXAN 是一种启发式软件,能够提供许多不同的正确结果,所有结果都接近最佳解决方案。其输出表明,为了确保长期栖息地寿命和充足的繁殖体供应,最重要的保护区域主要位于海湾岛屿周围。此外,通过统计分析,我们证明了对保护特征的不同选择会导致统计上不同的情景。繁殖体供应斑块的存在迫使 MARXAN 选择几乎相同的保护区域,从而减少了 MARXAN 结果的差异,并因此减少了保护区区域选择的差异。这里应用于海洋空间规划的多元分析被证明非常有帮助,它可以确定:i)不同情景输入数据如何影响 MARXAN;ii)在具有特殊生物和经济利益的研究区域中需要考虑哪些特征。