全球视角下的中国生物多样性监测进展与展望

生物多样性强烈的时空尺度依赖性和多层次性决定了生物多样性现状与变量的分析需要在不同生态系统进行多空间尺度、全面和连续的监测。因此, 构建生物多样性研究监测网络是生物多样性保护和研究的基础工作。近年来, 对地观测组织-生物多样性观测网络(GEO BON)、亚太生物多样性监测网络(APBON)等全球、区域以及国家尺度的生物多样性监测网络蓬勃发展。中国陆续在国家尺度上建立了针对生态系统和物种的长期监测网络, 其中, 中国生物多样性监测与研究网络(China Biodiversity Observation and Research Network, Sino BON)于2013年启动建设, 在我国主要生态系统和环境梯度设置30个监测主点和60个监测辅点, 目前已建成10个专项网对动物、植物和微生物进行监测, 并建立了以数据标准与汇交、近地面遥感为核心的综合监测中心。Sino BON打造了从地下、地面到森林林冠的多尺度、多类群(功能群)以及多营养级交互为重点的监测与研究平台, 为理解生物多样性变化趋势及其驱动因素、研究生物多样性维持机制, 以及国家履行《生物多样性公约》、保护生物多样性和生物资源提供详实可靠的生物多样性变化数据。为进一步支撑国家生物多样性治理能力、深化全球多样性保护合作, 我国生物多样性监测亟需在监测技术、监测区域、数据标准、综合信息平台等方向谋求更大的发展。

Progress and prospect of China biodiversity monitoring from a global perspective

Background & Aim: Analyzing biodiversity status requires multi-spatial scale, continuous monitoring across different ecosystems due to its heterogenous nature in both space and time. Therefore, monitoring networks are necessary for biodiversity conservation research. Biodiversity monitoring networks at the global, regional, and national scales, represented by GEO BON and APBON, have flourished. China has established a long-term monitoring network for ecosystems and species at the national scale. and the China Biodiversity Observation and Research Network (Sino BON) was launched in 2013 with strong support from the Chinese Academy of Sciences and the Ministry of Finance. Review Results: Sino BON includes 10 subnetworks specialized at monitoring animals, plants and microbes and an additional network for near-ground remote sensing, which covers 30 main sites and 60 affiliated sites in China. Currently, Sino BON has created a research platform for multi-trophic interactions among soil microorganisms, insects, large mammals, underground forests to forest canopies. This platform provides an understanding of biodiversity change and its driving factors at the national level and may be used in protecting biodiversity and sustainable utilization of biological resources. Perspectives: For further progresses, monitoring technology, monitoring areas, data standards and integrated information platforms require further development.