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首页> 外文期刊>Ocean & coastal management >Cetacean habitat modelling to inform conservation management, marine spatial planning, and as a basis for anthropogenic threat mitigation in Indonesia
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Cetacean habitat modelling to inform conservation management, marine spatial planning, and as a basis for anthropogenic threat mitigation in Indonesia

机译:Cetacean栖息地建模,以告知保护管理,海洋空间规划,以及印度尼西亚人为威胁缓解的基础

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摘要

Indonesia harbours a high diversity of cetaceans, yet effective conservation is hampered by a lack of knowledge about cetacean spatial distribution and habitat preferences. This study aimed to address this knowledge gap at an adequate resolution to support national cetacean conservation and management planning. Maximum Entropy (Maxent) modelling was used to map the distribution of 15 selected cetacean species in seven areas within Indonesian waters using recent cetacean presence datasets as well as environmental predictors (topographic and oceanographic variables). We then combined the individual species suitable habitat maps and overlaid them with provincial marine spatial planning (MSP) jurisdictions, marine protected areas (MPAs), oil and gas contract areas, and marine traffic density. Our results reflect a great heterogeneity in distribution among species and within species among different locations. This heterogeneity reflects an interrelated influence of topographic variables and oceanographic processes on the distribution of cetacean species. Bathymetry, distance to- coast and the -200m isobaths, and chlorophyll-a concentration and sea surface temperature were important variables influencing distribution of most species in many regions. Areas rich in species were mainly related to coastal areas or insular-reef complexity, representing high productivity and upwelling-modified waters. Although some important suitable habitats currently fall within MPAs, other areas are not and overlap with oil and gas exploration activities and marine traffic, indicating potentially high risk areas for cetaceans. The results of this study can support national cetacean conservation and management planning, and be used to reduce or avoid adverse anthropogenic threats. We advise to consider currently unprotected suitable cetacean habitats in MPA and MSP development.
机译:印尼港口鲸类高多样性,又有效地保护由缺乏对鲸类的空间分布和栖息地的喜好知识的阻碍。本研究旨在以足够的分辨率,以解决这方面的知识差距,以支持国家鲸类保护和管理规划。最大熵(Maxent模型)模型被用来绘制的15种选定鲸类在七个方面采用最新鲸类存在数据集印度尼西亚水域以及环境预测(地形和海洋变量)内的分布。然后,我们结合个别品种适宜的栖息地地图,并与省海洋空间规划(MSP)管辖区,海洋保护区(海洋保护区),石油和天然气合同区,海上交通密度包裹。我们的研究结果反映了分布的物种之间和不同地点之间的物种中有很大的异质性。这种异质性反映地形变量和海洋过程对鲸类物种分布的相关影响。测深,距离TO-海岸和-200m等深线,和叶绿素a浓度及海表温度在许多地区影响最大的物种分布的重要变量。品种丰富的地区主要涉及到沿海或岛屿礁复杂,代表高生产率和上涌改性水域。尽管一些重要的合适生境目前落在海洋保护区范围内,其他地区都没有与石油和天然气的勘探活动和海上交通的重叠,这表明鲸类的潜在高风险领域。这项研究的结果支持国家鲸类保护和管理规划,以及可用于减少或避免不良人为威胁。我们建议考虑MPA和MSP的发展目前未受保护鲸类动物适宜栖息地。

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