USGS ScienceSearch

USGS · 70196940

Measuring and evaluating ecological flows from streams to regions: Steps towards national coverage

Abstract

Living aquatic communities are largely determined and maintained by the volume and quality of flowing waters, both within lotic systems and in receiving waters of coastal systems. However, flow is one of the most frequently and extensively altered features of rivers and streams; alteration effects are likely to be exacerbated by climate change. Lotic systems vary and different fish species need different environmental conditions, and distinct problems are evident at various spatial scales. New synoptic flow and biological information now make it possible to evaluate the effects of altered flows throughout the Great Lakes Region at scales from the stream reach to the Region. We used estimates of river and streamflow and observed fish abundances to develop tools that specify the response of fish to alterations in those flows. We fit the logistic model to a cumulative fish abundance curve as a function of yield providing an empirical means to develop models of the response of cumulative fish abundance to flows. Response zones of yield for each species in each system type (based on size and thermal class) illustrate how criteria may be developed that can be used in decision‐making for management of flows. In our example application, we evaluate both the general response of brook trout ( Salvelinus fontinalis ) abundances (and fish diversity) to changes in flows and assess the sensitivity of each stream fish community to flow alteration. Mapping stream sensitivity to flow alteration throughout the US Great Lakes Region with a multiscale spatial framework showed how regional variability in sensitivity for any fish species or assemblage may be evaluated and provides managers with information to help determine where the best opportunities for protection or restoration of streamflows and associated communities exist. These results provide valuable tools and critical information to managers responsible for balancing water uses and maintaining high quality lotic ecosystems. These methods may be applied to any geographic region and can be extended nationally or globally, where flow, temperature, fish and landscape data are available.

Explore related subjects

90° N90° S · 180° W ← longitude → 180° E
Source-reported bounding extent: 40.84706035607122° to 48.28319289548349° latitude; -94.39453125° to -73.916015625° longitude. This indicates report coverage, not an exact sampling location. View area on OpenStreetMap.

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

James E. McKenna, Howard W. Reeves, Paul Seelbach. 2018-02-19. Measuring and evaluating ecological flows from streams to regions: Steps towards national coverage. https://doi.org/10.1111/fwb.13086

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related USGS reports

Growth of a threatened desert fish becomes resource dependent when released from temperature limitation in a regulated river

1. Growth of ectotherms typically positively correlates with increasing temperature towards an optimal temperature range, followed by a decline in growth when temperatures exceed the optimal temperature range for that organism. When temperature is within or close to the optimal range, food availability and other environmental factors can play important roles in modifying growth rates. River regulation often alters both environmental conditions (e.g., flow, turbidity and temperature) and aquatic food webs, modifying the quality and quantity of resources available to consumers. Here we aim to understand how food availability, water temperature and other environmental factors are associated with fish growth (defined here as a change in length) in a large, regulated desert river. 2. We measured growth of humpback chub (Gila cypha) at two river reaches located 240 km apart in the Colorado River within the Grand Canyon, Arizona, USA. We then fit Bayesian state-space models of growth that account for variable time at large to test environmental predictors such as water temperature, flow, turbidity (which increases during tributary flooding and can be a proxy for allochthonous inputs) and gross primary productivity (a proxy for autochthonous food) using an inclusion parameter approach. Both river reaches are located below Glen Canyon Dam, which regulates flow, alters seasonal water temperatures and traps sediment, nutrients, and organic carbon; however, merging tributaries and a greater distance from the dam lead to differences in environmental conditions. 3. In the upriver reach, where warm season water temperatures are below the optimal range for humpback chub most of the time, temperature was the primary driver of variation in growth according to inclusion parameter values and the strength of the standardised effect size. Turbidity was also included in the final model for the upper reach, but the inclusion parameter values and standardised effect size were smaller than for temperature. In the downriver, warmer reach, temperature still had the highest inclusion parameter value, but GPP had the highest standardised effect and nearly as high an inclusion parameter value. 4. We conclude that temperature is the primary limiting factor on growth of humpback chub in the Grand Canyon; however, as water temperatures increase, other factors, especially GPP, are associated with temporal variation in growth rates. Over the past two decades, declines in reservoir elevations and the volume of summer releases have increased downstream water temperatures. If warm temperatures persist into the future, other factors may have increasing roles in regulating interannual variability in chub growth. 5. Field studies of ectotherm growth often emphasise the role of water temperature; however, the role of resource availability is also increasingly recognised, especially in bioenergetics studies. Quantifying resource availability directly can be difficult, especially in large, remote rivers. Here, we show here that using proxies for resource availability (i.e., GPP as a proxy for autochthonous inputs) can yield useful insights regarding resource limitations with implications for management of federally listed fish species in a larger regulated river system.

Arizona

Seasonal environmental conditions and river morphology shape summer phytoplankton communities

1. Phytoplankton form the base of large river food webs but there are limited studies on the nature and drivers of communities over longer time scales. Further, climate change is projected to favor taxa associated with harmful algal blooms, but our knowledge of the timing, locations, and drivers of cyanobacteria in rivers lags that of lakes and marine environments. 2. We used a summer phytoplankton community dataset collected from 2010-2020 across main channel, side channel and backwater areas in the La Grange reach of the Illinois River to assess: 1) How much do summer phytoplankton communities across diverse aquatic areas within a large river vary from year to year?, 2) What environmental conditions are associated with that variation?, and 3) Do cyanobacteria respond differently than the full phytoplankton community? 3. We found greater differences in phytoplankton communities across years than among aquatic areas. Further, we showed that annual variation in phytoplankton communities was synchronous among taxa in the same aquatic area, rather than specific to each taxonomic group or taxa-area combination. After accounting for this spatial variation in annual dynamics, phytoplankton reflected river conditions across seasons, responding positively to summer total phosphorus and invasive carp abundance and negatively to winter discharge and spring silica to nitrogen ratio. Annual variation in cyanobacteria was similarly distinct among main channel, side channel and backwater areas but was best explained by the ratio of summer air temperature to discharge, representing conditions that favored growth over transport. 4. These results show that annual variation in summer phytoplankton and cyanobacterial communities both reflected the spatial diversity of the river landscape and responded to conditions that occurred at different spatial and temporal scales. Further, in this highly modified river basin, we showed that a mix of anthropogenic pressures including eutrophication, invasive species, and potential changes to winter and spring conditions affected the phytoplankton communities present in the summer. Thus, when evaluating long-term change and the potential for harmful algal blooms in rivers it is important to consider spatial diversity of phytoplankton communities, how their sensitivity to environmental change may vary across the river landscape, and the suite of human modifications acting on those communities.

Illinois

Potential thiamine deficiency of phytoplankton across a productivity gradient and seasons in Ohio lakes

Although nitrogen and phosphorus deficiency of algal blooms have been the focus of substantial attention, organic nutrients can limit algal growth in aquatic systems. Growing evidence indicates thiamine (vitamin B 1 ) can influence the community of primary producers in marine systems, but comparatively little is known about the effect of thiamine on freshwater algal productivity. We conducted 106 nutrient deficiency experiments with water from 39 Ohio lakes of varying trophic status during the growing seasons (April–October) of 2008–2009. Specifically, we tested the response of phytoplankton biomass (as chlorophyll a , chl- a ) relative to controls to added nitrogen (N), phosphorus (P), thiamine (Th), or combinations of N + P and N + P + Th. Next, we compared the chl- a growth response of treatment/control to published thresholds based on frequentist approaches and compared the conclusions with Bayesian model results that focused on probability of a response. Although N + P addition was consistently associated with the largest chl- a response, we found evidence of a thiamine influence on phytoplankton growth in some experiments. The Bayesian approach suggested thiamine may become more limiting as the growing season progresses. By late in the growing season, there was an 85% probability of a positive algal growth response to thiamine addition. Understanding the role of thiamine or other overlooked nutrients is not likely to alter the prevailing understanding of nutrient deficiency in freshwater ecosystems. However, we present evidence that freshwater phytoplankton may experience thiamine deficiency and suggest limnologists consider thiamine when exploring resource deficiencies.

Ohio