1. 自然资源部南海生态中心
2. 中海石油(中国)有限公司研究总院
3. 中国海洋大学化学化工学院
网络首发:2025-09-15,
纸质出版:2025-09-15
移动端阅览
杨嘉钰, 刘涛, 卢楚谦, 等. 我国海洋生态观测系统现状综述[J]. 地质科技通报, 2025,44(5):257-271.
杨嘉钰, 刘涛, 卢楚谦, et al. 我国海洋生态观测系统现状综述[J]. Bulletin of Geological Science and Technology, 2025, 44(5): 257-271.
杨嘉钰, 刘涛, 卢楚谦, 等. 我国海洋生态观测系统现状综述[J]. 地质科技通报, 2025,44(5):257-271. DOI: 10.19509/j.cnki.dzkq.tb20240516.
杨嘉钰, 刘涛, 卢楚谦, et al. 我国海洋生态观测系统现状综述[J]. Bulletin of Geological Science and Technology, 2025, 44(5): 257-271. DOI: 10.19509/j.cnki.dzkq.tb20240516.
海洋生态观测是海洋探索、生态保护修复、灾害预警预报、防灾减灾的重要手段和途径。21世纪以来,为进一步开展海洋生态观测,应对在人类活动和全球气候变化影响下各类生态灾害预警、典型生态系统面临退化等威胁,海洋生态观测技术已逐步迈入自动化、智能化、实时反映动态结果的时代,对生态文明建设下海洋生态观测系统研究提出了更高的要求。讨论了国际近岸海域、深海、海底海洋生态观测系统发展和研究现状,对现有观测系统进行了总结,分析了我国改革开发以来海洋生态观测系统技术的发展趋势、海洋生态观测系统发展的必要性,以及目前我国以近岸生态浮标为主的生态观测系统在我国沿海省市发展现状,并对此类观测系统在应对脆弱典型生态系统、新型生态灾害等预警研究中存在的局限性。提出我国生态观测应由简单的生态浮标向立体观测网发展,并且针对不同的典型生态系统建立有针对性的“岸–海–空–天”立体观测网络。
Objective and SignificanceMarine ecological observation has become one of the essential approaches to supporting ocean exploration
ecological protection and restoration
disaster prevention and reduction
and early warning of ecological hazards. With the intensification of human activities and the accelerating impacts of global climate change
typical marine ecosystems are increasingly facing severe degradation and fragility. These threats include frequent red tides
eutrophication
and biodiversity loss in coastal waters
all of which impose significant economic and ecological costs. Against this backdrop
there is an urgent demand to establish advanced real-time
automated
and intelligent ecological observing systems. Such systems are expected to capture dynamic variations of marine environmental parameters and provide a scientific basis for sustainable marine management and the construction of ecological civilization. Analysis
Discussion and ProgressThis paper provides an overview of international progress in marine ecological observation technologies
focusing on nearshore
deep-sea
and seafloor monitoring systems. Developed marine countries have built integrated observation networks composed of buoys
coastal stations
underwater platforms
and satellite remote sensing
which together achieve long-term
continuous
and real-time monitoring of multiple environmental and ecological parameters. Typical examples include the United States Integrated Ocean Observing System (IOOS)
the Ocean Observatories Initiative (OOI)
Canada's NEPTUNE seafloor network
and Europe's EMSO project. These networks have demonstrated the capability to monitor not only hydrological and meteorological variables but also ecological indicators critical for predicting and preventing ecological disasters. By comparison
China's ocean ecological observation systems started relatively late and have mainly relied on coastal eco-buoys since the reform and opening-up period. Although more than 100 buoy-based monitoring stations have been deployed across major coastal provinces
these systems are still limited in scope
parameter diversity
and integration capacity. Current observation remains dominated by localized
single-point monitoring
with insufficient network connectivity and poor spatial resolution. Moreover
the existing systems are constrained by limited endurance
high maintenance costs
and weak data-sharing mechanisms
making it difficult to fully meet the requirements of ecological disaster early warning and ecosystem protection in the new era. Conclusions and ProspectsTo overcome these limitations
this paper proposes that China's ecological observation should shift from simple buoy-based approaches toward the construction of collaborative
stereoscopic observation networks. Such networks should integrate multiple platforms: Shore-based towers
eco-buoys
underwater cabled observatories
shipborne systems
unmanned aerial vehicles
and satellite remote sensing: Forming a comprehensive "shore-sea-air-space" observation framework. With enhanced accuracy
extended parameters
and improved spatial and temporal coverage
these networks would enable dynamic
multi-dimensional monitoring of marine ecological processes. The establishment of such integrated networks is expected to play a crucial role in early warning of ecological disasters such as harmful algal blooms
coral bleaching
and ecosystem degradation. Furthermore
the accumulation of long-term
continuous datasets will provide essential support for assessing ecosystem health
guiding ecological restoration projects
and improving the resilience of coastal socio-economic systems. On a broader scale
advancing China's marine ecological observation capacity will also contribute to international collaboration in global ocean observing
strengthen data-sharing
and enhance China's role in addressing global marine environmental challenges. In summary
the paper highlights both the progress and the limitations of China's current ecological observation efforts and argues for a transformation toward advanced
stereoscopic
and multi-platform ecological observing systems. This transition is vital for improving marine ecological protection
supporting disaster prevention and mitigation
and achieving the long-term goal of sustainable ocean development under ecological civilization.
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