Otomo Yuri, Masuda Reiji, Osada Yutaka, Kawatsu Kazutaka, Kondoh Michio
Graduate School of Life Sciences Tohoku University Sendai Japan.
Maizuru Fisheries Research Station Kyoto University Kyoto Japan.
Ecol Evol. 2023 Jul 6;13(7):e10271. doi: 10.1002/ece3.10271. eCollection 2023 Jul.
Various biodiversity indicators, such as species richness, total abundance, and species diversity indices, have been developed to capture the state of ecological communities over space and time. As biodiversity is a multifaceted concept, it is important to understand the dimension of biodiversity reflected by each indicator for successful conservation and management. Here we utilized the responsiveness of biodiversity indicators' dynamics to environmental changes (i.e., environmental responsiveness) as a signature of the dimension of biodiversity. We present a method for characterizing and classifying biodiversity indicators according to environmental responsiveness and apply the methodology to monitoring data for a marine fish community under intermittent anthropogenic warm water discharge. Our analysis showed that 10 biodiversity indicators can be classified into three super-groups based on the dimension of biodiversity that is reflected. Group I (species richness and community mean of latitudinal center of distribution (cCOD)) showed the greatest robustness to temperature changes; Group II (species diversity and total abundance) showed an abrupt change in the middle of the monitoring period, presumably due to a change in temperature; Group III (species evenness) exhibited the highest sensitivity to environmental changes, including temperature. These results had several ecological implications. First, the responsiveness of species diversity and species evenness to temperature changes might be related to changes in the species abundance distribution. Second, the similar environmental responsiveness of species richness and cCOD implies that fish migration from lower latitudes is a major driver of species compositional changes. The study methodology may be useful in selecting appropriate indicators for efficient biodiversity monitoring.
人们已经开发出各种生物多样性指标，如物种丰富度、总丰度和物种多样性指数，以描述生态群落随时间和空间的状态。由于生物多样性是一个多方面的概念，为了成功地进行保护和管理，了解每个指标所反映的生物多样性维度非常重要。在这里，我们利用生物多样性指标动态对环境变化的响应性（即环境响应性）作为生物多样性维度的一个特征。我们提出了一种根据环境响应性对生物多样性指标进行表征和分类的方法，并将该方法应用于受间歇性人为温水排放影响的海洋鱼类群落的监测数据。我们的分析表明，10个生物多样性指标可以根据所反映的生物多样性维度分为三个超组。第一组（物种丰富度和分布纬度中心的群落平均值（cCOD））对温度变化表现出最大的稳健性；第二组（物种多样性和总丰度）在监测期中期出现了突然变化，可能是由于温度变化；第三组（物种均匀度）对包括温度在内的环境变化表现出最高的敏感性。这些结果具有若干生态学意义。首先，物种多样性和物种均匀度对温度变化的响应性可能与物种丰度分布的变化有关。其次，物种丰富度和cCOD相似的环境响应性意味着来自低纬度地区的鱼类迁移是物种组成变化的主要驱动因素。该研究方法可能有助于选择合适的指标进行有效的生物多样性监测。
