» Articles » PMID: 32086640

Aquatic Insects and Their Environmental Predictors: a Scientometric Study Focused on Environmental Monitoring in Lotic Environmental

Overview
Publisher Springer
Date 2020 Feb 23
PMID 32086640
Citations 2
Authors
Affiliations
Soon will be listed here.
Abstract

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.

Citing Articles

Long-term abundance trends of insect taxa are only weakly correlated.

van Klink R, Bowler D, Gongalsky K, Chase J Biol Lett. 2022; 18(2):20210554.

PMID: 35193369 PMC: 8864342. DOI: 10.1098/rsbl.2021.0554.


Effects of Local Environmental and Landscape Variables on the Taxonomic and Trophic Composition of Aquatic Insects in a Rare Forest Formation of the Brazilian Amazon.

Luiza-Andrade A, Brasil L, Torres N, Brito J, Silva R, Maioli L Neotrop Entomol. 2020; 49(6):821-831.

PMID: 32946024 DOI: 10.1007/s13744-020-00814-6.

References
1.
Kwok K, Leung K, Lui G, Chu S, Lam P, Morritt D . Comparison of tropical and temperate freshwater animal species' acute sensitivities to chemicals: implications for deriving safe extrapolation factors. Integr Environ Assess Manag. 2007; 3(1):49-67. View

2.
Brasil L, Vieira T, de Oliveira-Junior J, Dias-Silva K, Juen L . Elements of metacommunity structure in Amazonian Zygoptera among streams under different spatial scales and environmental conditions. Ecol Evol. 2017; 7(9):3190-3200. PMC: 5415516. DOI: 10.1002/ece3.2849. View

3.
Ricklefs R . Community diversity: relative roles of local and regional processes. Science. 1987; 235(4785):167-71. DOI: 10.1126/science.235.4785.167. View

4.
Macedo M, Coe M, DeFries R, Uriarte M, Brando P, Neill C . Land-use-driven stream warming in southeastern Amazonia. Philos Trans R Soc Lond B Biol Sci. 2013; 368(1619):20120153. PMC: 3638424. DOI: 10.1098/rstb.2012.0153. View

5.
Gronroos M, Heino J, Siqueira T, Landeiro V, Kotanen J, Bini L . Metacommunity structuring in stream networks: roles of dispersal mode, distance type, and regional environmental context. Ecol Evol. 2013; 3(13):4473-87. PMC: 3856747. DOI: 10.1002/ece3.834. View