The Coral Bleaching Automated Stress System (CBASS): A low-cost, portable system for standardized empirical assessments of coral thermal limits

被引:19
|
作者
Evensen, Nicolas. R. R. [1 ]
Parker, Katherine. E. E. [1 ]
Oliver, Thomas. A. A. [2 ]
Palumbi, Stephen. R. R. [3 ]
Logan, Cheryl. A. A. [4 ]
Ryan, James. S. S. [4 ]
Klepac, Courtney. N. N. [1 ,5 ]
Perna, Gabriela
Warner, Mark. E. E. [7 ]
Voolstra, Christian. R. R. [6 ]
Barshis, Daniel. J. J. [1 ]
机构
[1] Old Dominion Univ, Dept Biol Sci, Norfolk, VA 23529 USA
[2] Univ Hawaii, Dept Oceanog, Honolulu, HI USA
[3] Stanford Univ, Hopkins Marine Stn, Pacific Grove, CA USA
[4] Calif State Univ Monterey Bay, Dept Marine Sci, Seaside, CA USA
[5] Mote Marine Lab, Sarasota, FL USA
[6] Univ Konstanz, Dept Biol, Constance, Germany
[7] Univ Delaware, Sch Marine Sci & Policy, Lewes, DE USA
来源
LIMNOLOGY AND OCEANOGRAPHY-METHODS | 2023年 / 21卷 / 07期
基金
美国国家科学基金会;
关键词
COMMUNITY DYNAMICS; PHOTOSYSTEM-II; RESILIENCE; RESISTANCE; TOLERANCE; PATTERNS;
D O I
10.1002/lom3.10555
中图分类号
Q [生物科学];
学科分类号
07 ; 0710 ; 09 ;
摘要
Ocean warming is increasingly affecting marine ecosystems across the globe. Reef-building corals are particularly affected by warming, with mass bleaching events increasing in frequency and leading to widespread coral mortality. Yet, some corals can resist or recover from bleaching better than others. Such variability in thermal resilience could be critical to reef persistence; however, the scientific community lacks standardized diagnostic approaches to rapidly and comparatively assess coral thermal vulnerability prior to bleaching events. We present the Coral Bleaching Automated Stress System (CBASS) as a low-cost, open-source, field-portable experimental system for rapid empirical assessment of coral thermal thresholds using standardized temperature stress profiles and diagnostics. The CBASS consists of four or eight flow-through experimental aquaria with independent water masses, lighting, and individual automated temperature controls capable of delivering custom modulating thermal profiles. The CBASS is used to conduct daily thermal stress exposures that typically include 3-h temperature ramps to multiple target temperatures, a 3-h hold period at the target temperatures, and a 1-h ramp back down to ambient temperature, followed by an overnight recovery period. This mimics shallow water temperature profiles observed in coral reefs and prompts a rapid acute heat stress response that can serve as a diagnostic tool to identify putative thermotolerant corals for in-depth assessments of adaptation mechanisms, targeted conservation, and possible use in restoration efforts. The CBASS is deployable within hours and can assay up to 40 coral fragments/aquaria/day, enabling high-throughput, rapid determination of thermal thresholds for individual genotypes, populations, species, and sites using a standardized experimental framework.
引用
收藏
页码:421 / 434
页数:14
相关论文
共 4 条
  • [1] A low-cost, automated parasite diagnostic system via a portable, robotic microscope and deep learning
    Li, Yaning
    Zheng, Rui
    Wu, Yizhen
    Chu, Kaiqin
    Xu, Qianming
    Sun, Mingzhai
    Smith, Zachary J.
    JOURNAL OF BIOPHOTONICS, 2019, 12 (09)
  • [2] Low coral bleaching prevalence at the Bolinao-Anda Reef Complex, northwestern Philippines during the 2016 thermal stress event
    Quimpo, Timothy Joseph R.
    Requilme, Jeremiah Noelle C.
    Gomez, Elizabeth J.
    Sayco, Sherry Lyn G.
    Tolentino, Mark Paulo S.
    Cabaitan, Patrick C.
    MARINE POLLUTION BULLETIN, 2020, 160
  • [3] Determination of Moisture Deficit and Heat Stress Tolerance in Corn Using Physiological Measurements and a Low-Cost Microcontroller-Based Monitoring System
    Kebede, H.
    Fisher, D. K.
    Young, L. D.
    JOURNAL OF AGRONOMY AND CROP SCIENCE, 2012, 198 (02) : 118 - 129
  • [4] Development of a low-cost automated greenhouse imaging system with machine learning-based processing for evaluating genetic performance of drought tolerance in a bentgrass hybrid population
    Kim, Yonghyun
    Barnaby, Jinyoung Y.
    Warnke, Scott E.
    COMPUTERS AND ELECTRONICS IN AGRICULTURE, 2024, 224