EARLY HEARING DETECTION AND INTERVENTION VIRTUAL CONFERENCE
MARCH 2-5, 2021

(Virtually the same conference, without elevators, airplane tickets, or hotel room keys)

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5/21/2019 | 3:15 PM - 3:30 PM | HOW THE SPATIAL STRUCTURE OF LIGHT SHAPES METABOLIC REGIMES WITHIN AND ACROSS RIVER NETWORKS | 253 AB

HOW THE SPATIAL STRUCTURE OF LIGHT SHAPES METABOLIC REGIMES WITHIN AND ACROSS RIVER NETWORKS

At the scale of river networks, metabolic regimes determine the amount and timing of energetic inputs to food webs; yet the emergent patterns of stream metabolism at network-scales are not well-constrained. Within a river reach, maximum, potential rates of gross primary production (GPP) are constrained by incident light. However, the underlying spatial structure of light available to stream autotrophs is rarely quantified across heterogeneous, dynamic river networks, challenging efforts to predict GPP at broad spatial scales. Here we consider five focal river networks distributed throughout the United States to explore how the spatial structure of light drives network-scale metabolic regimes. For each network, we used spatially-distributed estimates of light availability to map network-scale light distributions and model daily rates of potential GPP. In addition, we highlight one case study - New Hope Creek, NC - in which we compare predicted productivity to observed GPP time series, and show how the spatial structure of land use and hydrologic disturbance interacts with the physical template and distribution of light to influence network GPP. Knowing the spatial structure of the drivers of stream metabolism will improve our understanding of river network metabolic regimes.

Spatial
Landscape
Landuse

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Presenters/Authors

Lauren Koenig (), University of Connecticut, Lauren.Koenig@uconn.edu;