Changing hydrologic volatility and associated risk to freshwater biota across the conterminous United States, 1980–2020

Hydrologic volatility—the pronounced variability in flow anomalies relative to natural expectations over sub-annual timescales—is of increasing concern to water management and freshwater ecosystems, yet research quantifying the effects of volatility on freshwater biota is lacking across large spatial scales. In this study, we use a causal inference framework to quantify responses of freshwater biota ( i.e., fishes and benthic macroinvertebrates) across regions of the conterminous United States (CONUS) to a gradient of monthly-scale hydrologic volatility in the 12-months prior to sampling. We then examine trends in hydrologic seasonal volatility and predict volatility-driven impacts to freshwater biota at over 3,300 locations across CONUS for water years 1980–2020. Our results broadly show that increasing hydrologic volatility resulted in increased risk of poor biotic condition indices in many regions of CONUS. Spatial clusters in the trends in volatility and volatility-driven risk to biotic conditions indicate variable patterns across CONUS, with decreased volatility in areas of the midwestern US, but notable increases in volatility and volatility-driven risk across many areas of the southeastern and especially western US. This study highlights the risk to many freshwater ecosystems from changes in hydrologic volatility and illustrates how these methods can be used to anticipate changes to non-stationary, changing flow regimes given intensifying hydroclimate, anthropogenic change, and water management.

Authors

Institutions

Publication Details

Published
2026-10-26
DOI
https://doi.org/10.22541/essoar.15011079/v1
Primary Topic
Fish Ecology and Management Studies
Type
preprint
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
preprint

Changing hydrologic volatility and associated risk to freshwater biota across the conterminous United States, 1980–2020

Kelly O. Maloney, Taylor E. Woods, Lindsey J. Boyle, Anthony J. Martinez et al.
Fish Ecology and Management Studies
preprint

Changing hydrologic volatility and associated risk to freshwater biota across the conterminous United States, 1980–2020

Kelly O. Maloney, Taylor E. Woods, Lindsey J. Boyle, Anthony J. Martinez, John C. Hammond, Matthew J. Cashman, Timothy J. Stagnitta, Daren M. Carlisle
preprint en

Abstract

Hydrologic volatility—the pronounced variability in flow anomalies relative to natural expectations over sub-annual timescales—is of increasing concern to water management and freshwater ecosystems, yet research quantifying the effects of volatility on freshwater biota is lacking across large spatial scales. In this study, we use a causal inference framework to quantify responses of freshwater biota ( i.e., fishes and benthic macroinvertebrates) across regions of the conterminous United States (CONUS) to a gradient of monthly-scale hydrologic volatility in the 12-months prior to sampling. We then examine trends in hydrologic seasonal volatility and predict volatility-driven impacts to freshwater biota at over 3,300 locations across CONUS for water years 1980–2020. Our results broadly show that increasing hydrologic volatility resulted in increased risk of poor biotic condition indices in many regions of CONUS. Spatial clusters in the trends in volatility and volatility-driven risk to biotic conditions indicate variable patterns across CONUS, with decreased volatility in areas of the midwestern US, but notable increases in volatility and volatility-driven risk across many areas of the southeastern and especially western US. This study highlights the risk to many freshwater ecosystems from changes in hydrologic volatility and illustrates how these methods can be used to anticipate changes to non-stationary, changing flow regimes given intensifying hydroclimate, anthropogenic change, and water management.

United States Geological Survey (US), Maryland-Delaware-D.C. Water Science Center (US), Eastern Ecological Science Center (US), New York Water Science Center (US)
Fish Ecology and Management Studies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Laika access coming soon