A new predictive model (MINASPACS) for spatially extensive biological assessments of southeastern Brazilian streams

Freshwater ecosystems are threatened by flow regulation, sedimentation, habitat degradation, non-native species, and water pollution. These disturbances have led to global losses of biodiversity and habitats. Therefore, it is essential to evaluate the ecological condition of freshwater ecosystems to promote effective management practices. Quantitative predictive models based on multivariate analyses of taxa richness are recognized ecological tools that can facilitate the monitoring and managing of freshwater ecosystems worldwide. However, few studies have used this approach to assess tropical rivers and streams. By evaluating predictive models, we can assess their usefulness for determining water-body taxonomic richness. We built a RIVPACS-type model based on macroinvertebrate assemblages (MINASPACS), for spatially extensive taxa richness assessments of Minas Gerais state streams, southeast Brazil. As a second objective, we assessed the sensitivity of the MINASPACS to human-induced disturbances affecting Minas Gerais streams through the relative risk (RR) approach. The MINASPACS model was trained with biological and environmental data from 78 reference sites and showed good accuracy ( R 2 ​> ​0.6, SD O/E ​= ​0.16). We found that percent of urban infrastructure, percent of catchment anthropogenic land use, Turbidity, Total Nitrogen, and Total Phosphorus represented significant risks to the taxa richness of Minas Gerais streams. Because of its accuracy, sensitivity, and use of map-level predictor variables, our model provides a clear, simple, and defensible measure of stream macroinvertebrate taxa richness across diverse biomes. • Predictive models are ecological tools for freshwater ecosystem management. • The MINASPACS predictive model was developed based on macroinvertebrate assemblages. • The model produced site-specific predictions of the aquatic fauna and a biological quality assessment of rivers. • The MINASPACS was sensitive to anthropogenic disturbances. • The MINASPACS responded to nutrient enrichment.

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Publication Details

Journal
Water Biology and Security
Published
2025-03-29
DOI
https://doi.org/10.1016/j.watbs.2025.100386
Citations
1
Primary Topic
Fish Ecology and Management Studies
Type
article
Field-Weighted Citation Impact
2.31
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article

A new predictive model (MINASPACS) for spatially extensive biological assessments of southeastern Brazilian streams

Marcos Callisto, Diego Rodrigues Macedo, Robert M. Hughes, Maria João Feio et al.
1 citations
Water Biology and Security
Fish Ecology and Management Studies
2.31
article

A new predictive model (MINASPACS) for spatially extensive biological assessments of southeastern Brazilian streams

Marcos Callisto, Diego Rodrigues Macedo, Robert M. Hughes, Maria João Feio, Pedro Fialho Cordeiro
article en
1 citations

Abstract

Freshwater ecosystems are threatened by flow regulation, sedimentation, habitat degradation, non-native species, and water pollution. These disturbances have led to global losses of biodiversity and habitats. Therefore, it is essential to evaluate the ecological condition of freshwater ecosystems to promote effective management practices. Quantitative predictive models based on multivariate analyses of taxa richness are recognized ecological tools that can facilitate the monitoring and managing of freshwater ecosystems worldwide. However, few studies have used this approach to assess tropical rivers and streams. By evaluating predictive models, we can assess their usefulness for determining water-body taxonomic richness. We built a RIVPACS-type model based on macroinvertebrate assemblages (MINASPACS), for spatially extensive taxa richness assessments of Minas Gerais state streams, southeast Brazil. As a second objective, we assessed the sensitivity of the MINASPACS to human-induced disturbances affecting Minas Gerais streams through the relative risk (RR) approach. The MINASPACS model was trained with biological and environmental data from 78 reference sites and showed good accuracy ( R 2 ​> ​0.6, SD O/E ​= ​0.16). We found that percent of urban infrastructure, percent of catchment anthropogenic land use, Turbidity, Total Nitrogen, and Total Phosphorus represented significant risks to the taxa richness of Minas Gerais streams. Because of its accuracy, sensitivity, and use of map-level predictor variables, our model provides a clear, simple, and defensible measure of stream macroinvertebrate taxa richness across diverse biomes. • Predictive models are ecological tools for freshwater ecosystem management. • The MINASPACS predictive model was developed based on macroinvertebrate assemblages. • The model produced site-specific predictions of the aquatic fauna and a biological quality assessment of rivers. • The MINASPACS was sensitive to anthropogenic disturbances. • The MINASPACS responded to nutrient enrichment.

Water Biology and SecurityVol. 4(4)
Universidade Federal de Minas Gerais (BR), Oregon Department of Fish and Wildlife (US), Corvallis Environmental Center (US), University of Coimbra (PT)
Openalex Percentile: Top 16%
Fish Ecology and Management Studies
2.31
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