| 底栖动物功能多样性度量的功效分析 |
| Assessing the Efficiency of Multidimensional Functional Spaces for Macroinvertebrate Traits of Functional Diversity |
| 投稿时间：2021-06-15 修订日期：2023-01-31 |
| DOI：10.15928/j.1674-3075.202106150188 |
| 中文关键词:底栖动物 功能多样性 均方差 物种数 新薛河 |
| 英文关键词:macroinvertebrates functional diversity mean squared deviation species number Xinxue River |
| 基金项目:国家自然科学基金（51979241, 51809228）；山东省青创科技计划（2019KJE020, 2020KJE008）; 河北省湿地生态与保护重点实验室(筹)开放基金（hklk201906）；长江航务管理局科技项目（201910017） |
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| 中文摘要: |
| 基于性状度量群落功能多样性需要构建多维空间，品质差的功能空间可能导致其多样性计算偏差。为分析功能空间对底栖动物多样性度量的准确性、研究物种数对功能空间品质的影响，以新薛河为例，使用均方差方法评估了各维度功能的空间品质，利用河段和河流尺度物种差异以及模拟不同大小物种库的方式，分析了物种数对多维功能空间的影响。结果显示：(1)新薛河底栖动物性状构建了14个维度(D)的功能空间，其中维度5D和6D的功能空间均方差最低（均为0.18%）、品质最优；高于6D的功能空间，物种间的差异多被高估；低于5D的功能空间，物种间的差异多被低估；(2)在河流和河段尺度上，5D功能空间的均方差最低、品质最优；(3)物种库的物种数在20~40时，4D功能空间均方差值最低的频数最多；物种数在50~90时，5D功能空间均方差值最低的频数最多；4D~6D功能空间均方差最低的频数最高，占比70%以上。研究表明，新薛河底栖动物性状的5D和6D功能空间品质最优，河段和河流尺度物种差异以及物种库大小未影响多维功能空间的特征和品质。 |
| 英文摘要: |
| Measuring the functional diversity of communities based on species traits requires the construction of a multidimensional functional space where functional diversity indices can be computed. A poor-quality functional space leads to biased calculation of functional diversity indices. However, there is no consensus on selecting the dimension of functional space. In this study, we selected Xinxue River as a case study and assessed the quality of multidimensional functional spaces on the measurement of macroinvertebrate functional diversity indices in Xinxue River and analyzed the effects of species richness on the quality of functional space. Using macroinvertebrate data, the quality of different dimensional functional spaces was evaluated by mean squared deviation analysis, and the effect of species number on the quality of dimensional functional spaces was analyzed by simulating different groups on a river-reach scale. Results show that: (1) There were 14 spatial dimensions of functional space constructed based on macroinvertebrate traits. The functional space with five and six dimensions was best, based on mean squared deviation. In functional spaces with at least seven dimensions, the distance between each pair of species were greater than the initial functional distance. The distance between each pair of species was underestimated in functional spaces limited to four dimensions. (2) A five dimensional functional space was best at both river and reach scales. (3) A four dimensional functional space gave the lowest mean squared deviation in groups with 20-40 macroinvertebrate species, while a five dimensional functional space gave the lowest mean squared deviation in groups with 50-90 species. Functional spaces with four to six dimensions most frequently gave the lowest mean squared deviation, accounting for 70% of all functional spaces. In summary, the best functional space for macroinvertebrate traits had five or six dimensions in Xinxue River and species number had limited influence on the identity and quality of the best functional space. |
| 李 杨,杨顺益,罗宏伟,陈 静,潘文杰,潘保柱,蒋万祥.2023.底栖动物功能多样性度量的功效分析[J].水生态学杂志,44(1):49-55. |
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