利用高分辨率卫星图像评估Papahānaumokuākea海洋国家保护区马纳威的一种令人讨厌的巨藻——软骨藻的空间分布。

IF 2.8 3区 生物学 Q1 MARINE & FRESHWATER BIOLOGY
Leiana Beyer, Tomoaki Miura, Kaʻuaʻoa Fraiola, Heather L Spalding, Taylor M Williams, Jonathan Martinez, Randall K Kosaki, Keolohilani H Lopes
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引用次数: 0

摘要

2019年,在Papahānaumokuākea海洋国家保护区(PMNM)的马纳威(珍珠环礁和赫尔姆斯环礁),发现了一种红色大藻,即瘤藻,过度生长本地珊瑚和藻类物种,改变了底栖生物群落。本研究的主要目的是利用卫星遥感技术评估马纳威岛前礁和后礁的空间分布。获取了2010年至2021年12年期间的WorldView-2和-3商业高分辨率卫星图像,并据此制作了时间序列动画。之前的研究报道,C. tumulosa在2015年的卫星图像中出现了明显的深色特征,第一个证据是C. tumulosa。因此,对这些动画进行了视觉检查,以识别在发现时间前后可见并在随后几年持续存在的暗斑。利用2019-2021年柽柳覆盖的野外调查数据,对暗斑区进行识别。利用这些黑暗特征作为参考和支持向量机,12年来最新的高分辨率卫星图像被分类成一幅独特的黑暗斑块地图,怀疑是C. tumulosa,平均总体准确率为78%。基于2019-2021年收集的野外调查数据,对瘤棘草分类结果进行准确性评估,总体准确率为79%。本研究利用遥感技术在偏远地区绘制了一种新发现的藻类地图,希望为管理者提供一种方法来进一步监测该物种的长期管理。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Assessment of the spatial distribution of Chondria tumulosa, a nuisance macroalga at Manawai in Papahānaumokuākea Marine National Monument using high-resolution satellite imagery.

In 2019, a red macroalgal species, Chondria tumulosa, was discovered overgrowing native coral and algal species and changing the benthic communities of Manawai (Pearl and Hermes Atoll) in Papahānaumokuākea Marine National Monument (PMNM). The main objective of this study was to assess the spatial distribution of C. tumulosa across the forereef and backreef of Manawai using satellite remote sensing. WorldView-2 and -3 commercial high-resolution satellite images were obtained for a 12-year period from 2010 to 2021, from which, time-series animations were created. Previous studies reported that C. tumulosa appeared as distinctively dark features in satellite imagery with the first evidence of C. tumulosa in 2015. Thus, the animations were visually inspected to identify dark patches that became visible around the time of discovery and persisted in subsequent years. Field survey data of C. tumulosa cover collected in 2019-2021 were used to gain confidence in the identification of dark patches. Using those dark features as a reference and a support vector machine, the latest high-resolution satellite images from the 12-year period were classified into a map of distinctive dark patches suspected to be C. tumulosa with an average overall accuracy of 78%. Accuracy assessments of the classification results of C. tumulosa based on field survey data collected in 2019-2021 resulted in an overall accuracy of 79%. This study leverages the use of remote sensing to map a newly discovered alga in a remote area in the hopes of providing managers with a methodology to further monitor the species for long-term management.

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来源期刊
Journal of Phycology
Journal of Phycology 生物-海洋与淡水生物学
CiteScore
6.50
自引率
3.40%
发文量
69
审稿时长
2 months
期刊介绍: The Journal of Phycology was founded in 1965 by the Phycological Society of America. All aspects of basic and applied research on algae are included to provide a common medium for the ecologist, physiologist, cell biologist, molecular biologist, morphologist, oceanographer, taxonomist, geneticist, and biochemist. The Journal also welcomes research that emphasizes algal interactions with other organisms and the roles of algae as components of natural ecosystems. All aspects of basic and applied research on algae are included to provide a common medium for the ecologist, physiologist, cell biologist, molecular biologist, morphologist, oceanographer, acquaculturist, systematist, geneticist, and biochemist. The Journal also welcomes research that emphasizes algal interactions with other organisms and the roles of algae as components of natural ecosystems.
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