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Ruhi, A.

Publications and source records attributed to Ruhi, A..

2 recordsLinked to original sources

Groundwater and phenology data reveal vulnerability of riparian trees to drought

The increasing frequency and magnitude of climatic extremes are altering water availability in dryland ecosystems globally. However, riparian vulnerability to hydroclimate whiplash remains poorly understood. Here, we examined how riparian trees respond to groundwater fluctuations and drought through their water use patterns and phenology. To this end, we combined time-series analysis of long-term, high-frequency groundwater monitoring and satellite imagery from a drought-prone and relatively pristine watershed in California (Chalone Creek, Pinnacles National Park). We found that trees by intermittent river reaches displayed consistent but depth-limited groundwater reliance, while those at perennial reaches primarily relied on groundwater during the dry season. Machine-learning models revealed that at intermittent sites groundwater depth predominantly controlled vegetation greenness, represented by Normalized Difference Vegetation Index (NDVI). In contrast, variation in photoperiod length dominated at perennial sites where water was more reliably available. During the severe 2020-2022 drought, all species experienced reduced greenness, but phenological responses differed by flow regime. While the start of season was delayed across all sites, trees at intermittent reaches exhibited substantially earlier end of season during drought, resulting in growing seasons shortened by as much as 28 days. These phenological shifts vastly exceed those documented across aridity classifications in global datasets from satellite observations, ground-based monitoring networks, and experimental precipitation manipulations. Although riparian trees in drylands have been shaped by exposure to drought over evolutionary timescales, our findings challenge the prevailing assumption that ecosystems regularly exposed to hydrological are more resilient to drought. Instead, we show that trees in intermittent systems may be operating close to critical groundwater thresholds, rendering them particularly vulnerable to increasingly long and severe droughts.

ecology↗

Prolonged low flows and non-native fish operate additively to alter insect emergence in mountain streams

Climate-induced flow alteration is subjecting mountain streams to more frequent and severe low-flow periods due to lower snowpack and earlier snowmelt. Yet, anticipating how stream ecosystems respond to prolonged low flows remains challenging because trophic levels can respond differently, and non-native predators could dampen or amplify responses. Here, we conducted a large-scale experiment to examine how early, prolonged low flows projected by the end of the century in Californias Sierra Nevada will alter mountain stream food webs and emerging insect flux--a critical stream-to-land cross-ecosystem linkage. Additionally, we tested whether Brown trout (Salmo trutta), a widespread non-native top predator, would change food-web responses to low-flow conditions. We found that early low flows and non-native fish effects were additive rather than synergistic or antagonistic. Early low flows did not alter the overall rate of emerging insects but they did shift community structure and reduce the prevalence of small-sized individuals--possibly reflecting larger size at emergence and faster growth rates due to warming. In contrast, non-native fish presence increased seasonally-aggregated abundance of stream insects up to 12%, mainly by increasing abundance of Chironomidae and small-sized Ephemeroptera and Trichoptera. In channels with fish, benthic algal biomass doubled and scraper-grazer and collector-gatherer insects emerged 60% and 55% more than channels without fish, likely benefiting from trout keeping mesopredators at bay. This experiment illustrates that prolonged low flows and invasions can profoundly alter mountain river food webs even when operating additively; and shows how mesocosm-based research may help understand global-change driven disruption of cross-ecosystem linkages.

ecology↗