Programa de Pós-Graduação em Zoologia, UFPA/MPEG, Instituto de Ciências Biológicas, Universidade Federal do Pará, Rua Augusto Corrêa, N° 1, Bairro Guamá, Belém, Pará, CEP 66075-110, Brazil.
Programa de Pós-Graduação em Ecologia-PPGECO, Instituto de Ciências Biológicas, Universidade Federal do Pará, Rua Augusto Corrêa, N° 1, Bairro Guamá, Belém, Pará, CEP 66075-110, Brazil.
Environ Monit Assess. 2020 Feb 21;192(3):194. doi: 10.1007/s10661-020-8147-z.
Since early studies about aquatic ecology, it has been found that changes in environmental conditions alter aquatic insect communities. Based on this, the combined study of environmental conditions and aquatic insect communities has become an important tool to monitor and manage freshwater systems. However, there is no consensus about which environmental predictors and facets of diversity are more useful for environmental monitoring. The objective of this work was to conduct a scientometric analysis to identify the main environmental predictors and biological groups used to monitor and manage lotic freshwater systems. We conducted a scientometric study on the Web of Science platform using the following words: stream, river, aquatic insect, Ephemeroptera, Plecoptera, Trichoptera, Odonata, Heteroptera, Chironomidae, bioindicator, environmental change, anthropic, and land use. Although most of the environmental predictors employed are local, intrinsic of freshwater systems using local environmental and associated landscape variables is a better strategy to predict aquatic insect communities. The facets of diversity most used are composition and richness of species and genera, which are not efficient at measuring the loss of ecosystem services and extinction of phylogenetic lineages. Although very important, these functional and phylogenetic facets are poorly explored for this purpose. Even though tropical regions are the most diverse globally and are experiencing major losses of native vegetation, these ecosystems are the least studied, a knowledge gap that needs addressing to better understand the effect of anthropogenic activities on the diversity of aquatic insects.
自早期的水生生态学研究以来，人们发现环境条件的变化会改变水生昆虫群落。基于此，环境条件和水生昆虫群落的综合研究已成为监测和管理淡水系统的重要工具。然而，对于哪些环境预测因子和多样性方面对于环境监测更有用，尚未达成共识。本研究的目的是进行科学计量分析，以确定用于监测和管理流水淡水系统的主要环境预测因子和生物类群。我们在 Web of Science 平台上使用以下词进行了科学计量学研究：溪流、河流、水生昆虫、蜉蝣目、襀翅目、毛翅目、蜻蜓目、半翅目、摇蚊科、生物指标、环境变化、人为和土地利用。虽然大多数使用的环境预测因子都是局部的，但使用本地环境和相关景观变量来描述淡水系统的内在特性是预测水生昆虫群落的更好策略。最常用的多样性方面是物种和属的组成和丰富度，但它们在衡量生态系统服务的丧失和系统发育谱系的灭绝方面效率不高。尽管这些功能和系统发育方面非常重要，但针对这一目的，它们的研究还很不完善。尽管热带地区在全球范围内是最多样化的，并且正在经历原生植被的大量丧失，但这些生态系统的研究最少，这是一个需要解决的知识空白，以便更好地了解人为活动对水生昆虫多样性的影响。
