A long-term multiparametric analysis of benthic macroinvertebrate responses to anthropogenic stressors, including a novel multimetric index for evaluating the ecological conditions of mountain rivers in Mexico

• We developed a MMI by sequential statistical filtering using benthic macroinvertebrates. • MMI responds negatively to decrease in dissolved oxygen and increase of land use-change. • Organisms in tropical rivers have strategies to be resilient to low/medium-magnitude disturbances. • Changes in land use and hydromorphological quality induce the loss of taxonomic and functional diversity. • Long-term data allows detection of inflection points for the biological diversity loss. Assessing the impacts of anthropogenic pressures (e.g., urbanization, agriculture) on riparian ecosystems is key to their sustainable management. The use of multimetric indices (MMIs) based on biological assemblages for assessing such pressures has increased worldwide. Their cost-benefit advantage and the scientific rigor of their development make them efficient bioindication tools for ecosystem diagnosis and conservation. This research aimed to develop an MMI for the Basin of Mexico based on the assemblages of benthic macroinvertebrates (MIB) observed through sampling perennial rivers and springs at 77 sites over a ten-year period. Potential sites were identified from extant government maps and then visited to verify their current state or existence compared to these cartographic records. We began with 80 ecological metrics and filtered these to remove redundancy, evaluating their ability to differentiate between conserved and degraded sites, have temporal stability, adjusting their score values to natural environmental gradients using significant residual values of the MIB metrics at reference sites. Furthermore, the degree of correlation between environmental changes due to anthropogenic activities at the local and catchment scales was assessed. The final MMI was constructed based on five metrics: Total Abundance, Diptera Richness, Crawler Richness, % Scrapers, and % Temporarily Attached Organisms. The index showed significant differences when discriminating between conserved and degraded sites, as well as when responding to environmental changes at the local and catchment scales. The implemented MMI demonstrates methodological replicability, efficiency, and the potential of macroinvertebrate assemblages to be used as bioindicators in Mexico and other countries where aquatic ecosystems are under constant pressures from land-use change.

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Publication Details

Journal
Ecological Modelling
Published
2025-06-02
DOI
https://doi.org/10.1016/j.ecolmodel.2025.111203
Citations
1
Primary Topic
Freshwater macroinvertebrate diversity and ecology
Type
article
Field-Weighted Citation Impact
1.72
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article

A long-term multiparametric analysis of benthic macroinvertebrate responses to anthropogenic stressors, including a novel multimetric index for evaluating the ecological conditions of mountain rivers in Mexico

Diego Rodrigues Macedo, Ángela Caro-Borrero, Javier Carmona-Jiménez, Juan José Reyes-Celis
1 citations
Ecological Modelling
Freshwater macroinvertebrate diversity and ecology
1.72
article

A long-term multiparametric analysis of benthic macroinvertebrate responses to anthropogenic stressors, including a novel multimetric index for evaluating the ecological conditions of mountain rivers in Mexico

Diego Rodrigues Macedo, Ángela Caro-Borrero, Javier Carmona-Jiménez, Juan José Reyes-Celis
article en
1 citations

Abstract

• We developed a MMI by sequential statistical filtering using benthic macroinvertebrates. • MMI responds negatively to decrease in dissolved oxygen and increase of land use-change. • Organisms in tropical rivers have strategies to be resilient to low/medium-magnitude disturbances. • Changes in land use and hydromorphological quality induce the loss of taxonomic and functional diversity. • Long-term data allows detection of inflection points for the biological diversity loss. Assessing the impacts of anthropogenic pressures (e.g., urbanization, agriculture) on riparian ecosystems is key to their sustainable management. The use of multimetric indices (MMIs) based on biological assemblages for assessing such pressures has increased worldwide. Their cost-benefit advantage and the scientific rigor of their development make them efficient bioindication tools for ecosystem diagnosis and conservation. This research aimed to develop an MMI for the Basin of Mexico based on the assemblages of benthic macroinvertebrates (MIB) observed through sampling perennial rivers and springs at 77 sites over a ten-year period. Potential sites were identified from extant government maps and then visited to verify their current state or existence compared to these cartographic records. We began with 80 ecological metrics and filtered these to remove redundancy, evaluating their ability to differentiate between conserved and degraded sites, have temporal stability, adjusting their score values to natural environmental gradients using significant residual values of the MIB metrics at reference sites. Furthermore, the degree of correlation between environmental changes due to anthropogenic activities at the local and catchment scales was assessed. The final MMI was constructed based on five metrics: Total Abundance, Diptera Richness, Crawler Richness, % Scrapers, and % Temporarily Attached Organisms. The index showed significant differences when discriminating between conserved and degraded sites, as well as when responding to environmental changes at the local and catchment scales. The implemented MMI demonstrates methodological replicability, efficiency, and the potential of macroinvertebrate assemblages to be used as bioindicators in Mexico and other countries where aquatic ecosystems are under constant pressures from land-use change.

Ecological ModellingVol. 508
Universidade Federal de Minas Gerais (BR), Universidad Autónoma de la Ciudad de México (MX), Universidad Nacional Autónoma de México (MX)
Openalex Percentile: Top 17%
Freshwater macroinvertebrate diversity and ecology
1.72
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