湖泊生态系统长期定位观测与试验研究:历程、使命与未来
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中国科学院南京地理与湖泊研究所 湖泊与环境国家重点实验室

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A review on the lake ecosystem field monitoring and research:journey, mission and future
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    摘要:

    湖沼学和湖泊科学长期发展历程深刻印证了持续野外观测与试验研究的重要性和必要性。全球范围内,科研机构通过建立长期定位观测野外站,系统开展了数十年至上百年的湖泊生态系统演化机制与可持续管理研究,如美国弗拉特黑德湖、特劳特湖、密西根湖,瑞士苏黎世湖,日本琵琶湖、霞浦湖等。在中国生态系统研究网络和国家科技基础条件平台中心支持下, 我国科学家陆续在武汉东湖、太湖、鄱阳湖、洞庭湖、梁子湖等建设野外观测试验站,开展湖泊生态系统长期试验观测和联网综合研究。本文系统梳理了全球和中国湖泊科学长期定位观测与试验研究进展,通过跨国别、跨区域、跨湖泊类型的案例对比,彰显了长期定位观测在揭示湖泊生态系统动态变化规律中的不可替代性。研究强调,唯有通过跨区域联网观测,观测信息化和智能化提升以及观测与模拟模型结合,才能深入解析湖泊生态系统对气候变暖、人类活动干扰的响应阈值与弹性机制,进而为全球湖泊保护、生态修复与可持续利用提供关键科学支撑,推动湖泊科学从“现象描述”向“机制解析”与“预测预警”的跨越式发展,最终服务于联合国可持续发展议程和美丽中国建设。

    Abstract:

    The enduring development of limnology and lake science has profoundly demonstrated the importance and necessity of sustained field observation and experimental research. Globally, scientific institutions have established long-term positioning observation field stations, systematically conducting research spanning decades to centuries on the evolutionary mechanisms and sustainable management of lake ecosystems. Notable examples include Flathead Lake, Trout Lake, and Lake Michigan in the United States; Lake Zurich in Switzerland; and Lake Biwa and Lake Kasumigaura in Japan. With the support of the Chinese Ecosystem Research Network and the National Science and Technology Infrastructure Center, Chinese scientists have successively established field observation and experimental stations in Donghu Lake (Wuhan), Taihu Lake, Poyang Lake, Dongting Lake, and Liangzi Lake, conducting long-term experimental observations and comprehensive networked research on lake ecosystems. This article systematically reviews the progress of long-term positioning observation and experimental research in lake science globally and in China. Through cross-country, cross-regional, and cross-lake-type case comparisons, it highlights the irreplaceable role of long-term positioning observation in revealing the dynamic changes of lake ecosystems. The study emphasizes that only through cross-regional networked observations, enhanced informatization and intelligence in monitoring, and the integration of observation with simulation models can we deeply analyze the response thresholds and resilience mechanisms of lake ecosystems to climate warming and human activities. This will provide critical scientific support for the protection, ecological restoration, and sustainable use of lakes worldwide, promoting the leapfrog development of lake science from "phenomenon description" to "mechanism analysis" and "predictive early warning." Ultimately, this serves the United Nations Sustainable Development Agenda and contributes to the building of a Beautiful China.

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历史
  • 收稿日期:2025-12-05
  • 最后修改日期:2026-02-24
  • 录用日期:2026-02-24
  • 在线发布日期: 2026-03-16
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