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Prioritizing species of concern monitoring using GIS-based fuzzy models

机译：使用基于GIS的模糊模型对关注物种进行优先排序

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摘要

The costs of monitoring species of concern in data-limited regions can hinder effective management. However, careful biological survey design can improve monitoring of critical areas, and help develop ecosystem-based approaches, including spatial management frameworks. The current study aims to reduce the cost of environmental monitoring of sea turtles, river dolphins and manatees within the Soure Marine Extractive Reserve (MER), a multiuse MPA adjacent to Marajo Island, Brazil by creating a data-driven monitoring prioritization framework. Here we present a novel and adaptable approach for designing surveys and prioritizing monitoring areas within the coastal and marine habitats of MER. We mapped all the anthropogenic activities occurring in the area and used the fuzzy logic framework to identify high priority locations. Fuzzy logic models go beyond binary categorization, allowing elements to belong to one or more categories. This framework also incorporates spatial uncertainty of reporting data. Our results indicate that approximately 30% of the Soure MER core area has a high monitoring priority, with some spillover into the buffer zone. The model defined the southeast portion of the core area as the largest single patch available for monitoring a species of concern, due to the higher concentration of fixed fishing gear operations. For the future, this model could be adapted to inform habitat suitability and test the effectiveness of the different use zones delimitated in the Soure MER management plan.
机译：在数据有限的区域内监测所关注物种的费用可能会阻碍有效管理。但是，精心的生物调查设计可以改善对关键区域的监控，并有助于开发基于生态系统的方法，包括空间管理框架。当前的研究旨在通过建立一个数据驱动的监测优先次序框架，来降低对Soure Marine Extractive Reserve（MER）（位于巴西Marajo岛附近的多用途MPA）内的海龟，河豚和海牛进行环境监测的成本。在这里，我们提出了一种新颖且适应性强的方法，用于设计调查和确定MER沿海和海洋栖息地内的监测区域的优先级。我们绘制了该地区发生的所有人为活动的地图，并使用模糊逻辑框架来确定高优先级位置。模糊逻辑模型超越了二进制分类，允许元素属于一个或多个类别。该框架还包括报告数据的空间不确定性。我们的结果表明，Soure MER核心区域的大约30％具有较高的监视优先级，并且有一些溢出到缓冲区中。该模型将核心区域的东南部定义为可用于监视所关注物种的最大单个斑块，这是因为固定渔具作业的集中度较高。将来，可以将该模型改编为告知栖息地适宜性，并测试Soure MER管理计划中划定的不同使用区的有效性。

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  • 来源
    《Ocean & coastal management》 |2020年第4期|105073.1-105073.8|共8页
  • 作者

  • 作者单位

    Univ Massachusetts Environm Conservat Dept Amherst MA 01003 USA|Minist Educ Brazil CAPES Fdn Brasilia DF Brazil;

    Bicho Dagua Inst Soure Brazil;

    Bicho Dagua Inst Soure Brazil|Univ Fed Para UFPA PPG Biol Ambiental UFPA Campus Braganca Belem PA Brazil;

    ICMBIO Chico Mendes Inst Biodivers Conservat Coor Marajo Brazil;

    Univ Massachusetts Environm Conservat Dept Amherst MA 01003 USA;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Manatees; Marine protected area; River dolphin; Fuzzy logic spatial modeling; Sea turtles;

    机译：海牛;海洋保护区;河豚模糊逻辑空间建模;海龟;

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