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夏威夷珊瑚疾病数据库(HICORDIS):来自夏威夷群岛各地的特定珊瑚物种健康数据。

Hawai'i Coral Disease database (HICORDIS): species-specific coral health data from across the Hawaiian archipelago.

作者信息

Caldwell Jamie M, Burns John H R, Couch Courtney, Ross Megan, Runyon Christina, Takabayashi Misaki, Vargas-Ángel Bernardo, Walsh William, Walton Maya, White Darla, Williams Gareth, Heron Scott F

机构信息

Hawai'i Institute of Marine Biology, School of Ocean and Earth Science and Technology, University of Hawai'i, Kāne'ohe, HI 96744, USA.

Department of Microbiology, University of Hawai'i at Mānoa, Honolulu, HI 96822, USA.

出版信息

Data Brief. 2016 Jul 19;8:1054-8. doi: 10.1016/j.dib.2016.07.025. eCollection 2016 Sep.

DOI:10.1016/j.dib.2016.07.025
PMID:27508264
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC4969249/
Abstract

The Hawai'i Coral Disease database (HICORDIS) houses data on colony-level coral health condition observed across the Hawaiian archipelago, providing information to conduct future analyses on coral reef health in an era of changing environmental conditions. Colonies were identified to the lowest taxonomic classification possible (species or genera), measured and assessed for visual signs of health condition. Data were recorded for 286,071 coral colonies surveyed on 1819 transects at 660 sites between 2005 and 2015. The database contains observations for 60 species from 22 genera with 21 different health conditions. The goals of the HICORDIS database are to: i) provide open access, quality controlled and validated coral health data assembled from disparate surveys conducted across Hawai'i; ii) facilitate appropriate crediting of data; and iii) encourage future analyses of coral reef health. In this article, we describe and provide data from the HICORDIS database. The data presented in this paper were used in the research article "Satellite SST-based Coral Disease Outbreak Predictions for the Hawaiian Archipelago" (Caldwell et al., 2016) [1].

摘要

夏威夷珊瑚疾病数据库(HICORDIS)收录了在夏威夷群岛观察到的珊瑚群落层面的健康状况数据,为在环境条件不断变化的时代对珊瑚礁健康状况进行未来分析提供信息。珊瑚群落被鉴定到尽可能低的分类级别(物种或属),测量并评估其健康状况的视觉迹象。在2005年至2015年期间,对660个地点的1819条样带中的286,071个珊瑚群落进行了调查,并记录了相关数据。该数据库包含来自22个属的60个物种的观测数据,以及21种不同的健康状况。HICORDIS数据库的目标是:i)提供开放获取、经过质量控制和验证的珊瑚健康数据,这些数据来自于在夏威夷各地进行的不同调查;ii)促进对数据的适当归因;iii)鼓励对珊瑚礁健康状况进行未来分析。在本文中,我们描述并提供了HICORDIS数据库的数据。本文中呈现的数据被用于研究论文《基于卫星海表温度的夏威夷群岛珊瑚疾病爆发预测》(考德威尔等人,2016年)[1]。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2f9f/4969249/96067d34026b/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2f9f/4969249/e41bc9699e34/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2f9f/4969249/b0da0ed1914a/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2f9f/4969249/96067d34026b/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2f9f/4969249/e41bc9699e34/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2f9f/4969249/b0da0ed1914a/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2f9f/4969249/96067d34026b/gr3.jpg

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本文引用的文献

1
Satellite SST-Based Coral Disease Outbreak Predictions for the Hawaiian Archipelago.基于卫星海表温度的夏威夷群岛珊瑚疾病爆发预测
Remote Sens (Basel). 2016 Feb;8(2):93. doi: 10.3390/rs8020093. Epub 2016 Jan 26.
通过网络理论视角对50年珊瑚疾病研究的系统评价与荟萃分析。
PeerJ. 2019 Jun 4;7:e7041. doi: 10.7717/peerj.7041. eCollection 2019.