Dataset of diving beetle (Coleoptera: Dytiscidae) diversity enhanced by emergent plants in urban wetlands

Cite this dataset: Liao, W. (2020). Dataset of diving beetle (Coleoptera: Dytiscidae) diversity enhanced by emergent plants in urban wetlands (Version 1). Wenfei Liao. http://urn.fi/urn:nbn:fi:att:bf4e811f-23f9-4024-b799-9d000bb249dc The data is associated with the article: Liao, Wenfei, Stephen Venn, and Jari Niemelä (2023). "Microhabitats with emergent plants counterbalance the negative effects of fish presence on diving beetle (Coleoptera: Dytiscidae) diversity in urban ponds." Global Ecology and Conservation 41: e02361. This dataset contains data that allows us to investigate how the quantity of spatial refuges affects the diversity of aquatic invertebrates in aquatic ecosystems and generate reliable management recommendations for biodiversity conservation. The spatial refuges in this study are emergent plants, the cover of which was estimated at the pond level and at the microhabitat level (1m×1m plots with an activity trap as the centre of the plot). The column "VegeCover" gives the estimated cover of emergent plants, while "VegeSpecies" gives the information of emergent plant species richness. We measured the water depth at the microhabitat level to investigate how water depth affects emergent plant cover, which is recorded in the column "WaterDepth". We sampled diving beetles (Coleoptera: Dytiscidae), an indicator taxa for rapid biodiversity assessment, with 1-L activity traps operated horizentally in water for 48 hours. We recorded the species richness and abundance of dytiscids in each trap. The column "DySpeciesRichness" is the species richness of dytiscids, and "DyAbundance" is the abundance of dytiscids. We also confirmed the presence or absence of fish in our study ponds by operating a fish trap for 24 hours. All fish species were predatory. The column "Fish" gives information on the presence ("YES") or absence ("NO") of predatory fish. We collected the data during summers in 2018 and 2019. The dataset has been saved as two csv files. "Dy_Vege_Pond.csv" is the file for data at the pond level, while "Dy_Vege_Microhabitats.csv" is the file for data at the microhabitat level.

引用本数据集：廖文飞（2020）。城市湿地挺水植物提升水生甲虫（鞘翅目：龙虱科，Coleoptera: Dytiscidae）多样性数据集（版本1）。Wenfei Liao。http://urn.fi/urn:nbn:fi:att:bf4e811f-23f9-4024-b799-9d000bb249dc
本数据集关联学术论文：廖文飞、Stephen Venn与Jari Niemelä（2023）。《挺水植物微生境抵消鱼类存在对城市池塘水生甲虫（鞘翅目：龙虱科，Coleoptera: Dytiscidae）多样性的负面影响》。《Global Ecology and Conservation》41: e02361。
本数据集包含的数据可用于探究空间庇护所的数量如何影响水生生态系统中水生无脊椎动物的多样性，并为生物多样性保护制定可靠的管理建议。本研究中的空间庇护所为挺水植物，其盖度分别在池塘尺度与微生境尺度进行估算（以活动诱捕器（activity trap）为中心的1m×1m样方）。
列"VegeCover"代表挺水植物盖度的估算值，"VegeSpecies"则记录挺水植物物种丰富度的相关信息。
我们在微生境尺度测量了水深，以探究水深对挺水植物盖度的影响，该数据记录于列"WaterDepth"中。
我们以1L活动诱捕器水平放置于水中48小时的方式，采样作为快速生物多样性评估指示类群的水生甲虫（鞘翅目：龙虱科，Coleoptera: Dytiscidae）。我们记录了每个诱捕器内龙虱科昆虫的物种丰富度与个体丰度。列"DySpeciesRichness"代表龙虱科昆虫的物种丰富度，"DyAbundance"则代表其个体丰度。
我们还通过布设24小时的鱼类诱捕器，确认了研究池塘中鱼类的存在与否。所有鱼类均为肉食性。列"Fish"记录了肉食性鱼类的存在（"YES"）或缺失（"NO"）情况。
本数据集的采集工作开展于2018年与2019年的夏季。
本数据集以两个CSV文件存储："Dy_Vege_Pond.csv"为池塘尺度数据集文件，"Dy_Vege_Microhabitats.csv"为微生境尺度数据集文件。