Zheng Kaiyun, Wong Mark K L, Tsang Toby P N, Leong Chi Man
Department of Life Sciences, Beijing Normal-Hong Kong Baptist University, Zhuhai, China Department of Life Sciences, Beijing Normal-Hong Kong Baptist University Zhuhai China.
School of Biological Sciences, The University of Western Australia, Crawley, Australia School of Biological Sciences, The University of Western Australia Crawley Australia.
Biodivers Data J. 2025 Jun 12;13:e153402. doi: 10.3897/BDJ.13.e153402. eCollection 2025.
Urban ecosystems present unique challenges for biodiversity monitoring, demanding efficient methods to document species diversity in rapidly changing environments. This study quantifies insect diversity in Macao SAR - a hyper-urbanised region - by integrating data on 1,339 species documented in expert-led surveys and 1,012 species recorded in citizen-science observations between 2019 and 2023. Striking divergence emerged between the expert and citizen-science datasets: only 462 species (33.5% of total diversity) were detected by both groups, with experts documenting 877 unique taxa often requiring specialised collection or morphological analysis, while citizen scientists contributed 550 distinctive species through spatially explicit, image-based records. Together, these approaches achieved 96.59% estimated species coverage within five years, demonstrating that combining community-driven data with expert methods accelerates comprehensive biodiversity documentation. Citizen-science platforms played a pivotal role by providing high-resolution geotagged imagery which enabled experts to validate records and resolve taxonomic ambiguities. Meanwhile, expert surveys detected cryptic taxa overlooked by citizen scientists. The rapid species coverage achieved through this synergy highlights the transformative potential of integrated frameworks. By mobilizing the scalability of citizen science to fill spatial and taxonomic gaps, while leveraging expert precision to ensure rigour, urban biodiversity monitoring can adapt to the rapid pace of ecological change. These findings advocate for collaborative strategies that harness public participation and scientific validation to optimise conservation efforts in data-deficient and highly-stressed ecosystems.
城市生态系统给生物多样性监测带来了独特挑战,需要高效方法来记录快速变化环境中的物种多样性。本研究通过整合2019年至2023年间专家主导调查记录的1339种物种数据和公民科学观测记录的1012种物种数据,对澳门特别行政区(一个高度城市化的地区)的昆虫多样性进行了量化。专家数据集和公民科学数据集之间出现了显著差异:两组仅检测到462种物种(占总多样性的33.5%),专家记录了877个独特分类单元,这些分类单元通常需要专门采集或形态分析,而公民科学家通过空间明确的基于图像的记录贡献了550个独特物种。这些方法共同在五年内实现了估计物种覆盖率的96.59%,表明将社区驱动的数据与专家方法相结合可加速全面的生物多样性记录。公民科学平台发挥了关键作用,提供了高分辨率地理标记图像,使专家能够验证记录并解决分类学上的模糊问题。与此同时,专家调查发现了公民科学家忽略的隐秘分类单元。通过这种协同作用实现的快速物种覆盖凸显了综合框架的变革潜力。通过利用公民科学的可扩展性来填补空间和分类学空白,同时利用专家的精确性来确保严谨性,城市生物多样性监测能够适应快速的生态变化步伐。这些发现倡导采用协作策略,利用公众参与和科学验证来优化数据匮乏和压力巨大的生态系统中的保护工作。