Abstract

Abstract Rivers are dynamic ecosystems in which both human impacts and climate‐driven drying events are increasingly common. These anthropogenic and natural stressors interact to influence the biodiversity and functioning of river ecosystems. Disentangling ecological responses to these interacting stressors is necessary to guide management actions that support ecosystems adapting to global change. We analysed the independent and interactive effects of human impacts and natural drying on aquatic invertebrate communities—a key biotic group used to assess the health of European freshwaters. We calculated biological response metrics representing communities from 406 rivers in eight European countries: taxonomic richness, functional richness and redundancy, and biomonitoring indices that indicate ecological status. We analysed metrics based on the whole community and a group of taxa with traits promoting resistance and/or resilience (‘high RR’) to drying. We also examined how responses vary across Europe in relation to climatic aridity. Most community metrics decreased independently in response to impacts and drying. A richness‐independent biomonitoring index (the average score per taxon; ASPT) showed particular potential for use in biomonitoring, and should be considered alongside new metrics representing high RR diversity, to promote accurate assessment of ecological status. High RR taxonomic richness responded only to impacts, not drying. However, these predictors explained little variance in richness and other high RR metrics, potentially due to low taxonomic richness. Metric responsiveness could thus be enhanced by developing region‐specific high RR groups comprising sufficient taxa with sufficiently variable impact sensitivities to indicate ecological status. Synthesis and applications. Metrics are needed to assess the ecological status of dynamic river ecosystems—including those that sometimes dry—and thus to identify priority sites requiring action to tackle the causes of environmental degradation. Our results inform recommendations guiding the development of such metrics. We propose concurrent use of richness‐independent ‘average score per taxon’ indices and metrics that characterize the richness of resistant and resilient taxa. We observed interactions between aridity, impacts and drying, highlighting that these new metrics should be region specific, river type specific and adaptable, promoting their ability to inform management actions that protect biodiversity in river ecosystems responding to climate change.

Highlights

  • Biodiversity is declining at unprecedented rates as interactions between anthropogenic activities and climatic extremes increase at local to global scales (Pereira et al, 2010)

  • Metrics based on taxonomic richness—­including biomonitoring index totals—­can experience antagonistic decreases, whereby responses to impacts weaken as community exposure to natural stressors increases (Soria et al, 2020; Figure 1a), an interactive effect which may be exacerbated by environmental harshness

  • Our community-­level results suggest that biomonitoring indices can identify responses to human impacts despite concurrent responses to drying, but require adaptation to reflect the values representative of rivers with contrasting flow permanence (Soria et al, 2020)

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Summary

Introduction

Biodiversity is declining at unprecedented rates as interactions between anthropogenic activities and climatic extremes increase at local to global scales (Pereira et al, 2010). Declines are severe in freshwater ecosystems, in which multiple interacting anthropogenic pressures (e.g. land-­use change, pollution and climate change) result in stressors that are altering communities characterized by high biodiversity (Reid et al, 2019). Rivers experience these human impacts alongside natural flow extremes: seasonal or unpredictable disturbances in which natural stressors such as the absence of water (during drying) and fast flows (during floods) disrupt ecosystem structure and function (White & Pickett, 1985). Research is needed to inform the development of metrics that respond independently to impacts and natural stressors (Gutiérrez-­Cánovas et al, 2015), and to enable effective biomonitoring in ecosystems responding to environmental change (Nõges et al, 2016)

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