How Does Flow Alteration Propagate Across a Large, Highly Regulated Basin? Dam Attributes, Network Context, and Implications for Biodiversity. Issue 6 (17th June 2022)
- Record Type:
- Journal Article
- Title:
- How Does Flow Alteration Propagate Across a Large, Highly Regulated Basin? Dam Attributes, Network Context, and Implications for Biodiversity. Issue 6 (17th June 2022)
- Main Title:
- How Does Flow Alteration Propagate Across a Large, Highly Regulated Basin? Dam Attributes, Network Context, and Implications for Biodiversity
- Authors:
- Ruhi, Albert
Hwang, Jeongwoo
Devineni, Naresh
Mukhopadhyay, Sudarshana
Kumar, Hemant
Comte, Lise
Worland, Scott
Sankarasubramanian, A. - Abstract:
- Abstract: Large dams are a leading cause of river ecosystem degradation. Although dams have cumulative effects as water flows downstream in a river network, most flow alteration research has focused on local impacts of single dams. Here we examined the highly regulated Colorado River Basin (CRB) to understand how flow alteration propagates in river networks, as influenced by the location and characteristics of dams as well as the structure of the river network—including the presence of tributaries. We used a spatial Markov network model informed by 117 upstream‐downstream pairs of monthly flow series (2003–2017) to estimate flow alteration from 84 intermediate‐to‐large dams representing >83% of the total storage in the CRB. Using Least Absolute Shrinkage and Selection Operator regression, we then investigated how flow alteration was influenced by local dam properties (e.g., purpose, storage capacity) and network‐level attributes (e.g., position, upstream cumulative storage). Flow alteration was highly variable across the network, but tended to accumulate downstream and remained high in the main stem. Dam impacts were explained by network‐level attributes (63%) more than by local dam properties (37%), underscoring the need to consider network context when assessing dam impacts. High‐impact dams were often located in sub‐watersheds with high levels of native fish biodiversity, fish imperilment, or species requiring seasonal flows that are no longer present. These threeAbstract: Large dams are a leading cause of river ecosystem degradation. Although dams have cumulative effects as water flows downstream in a river network, most flow alteration research has focused on local impacts of single dams. Here we examined the highly regulated Colorado River Basin (CRB) to understand how flow alteration propagates in river networks, as influenced by the location and characteristics of dams as well as the structure of the river network—including the presence of tributaries. We used a spatial Markov network model informed by 117 upstream‐downstream pairs of monthly flow series (2003–2017) to estimate flow alteration from 84 intermediate‐to‐large dams representing >83% of the total storage in the CRB. Using Least Absolute Shrinkage and Selection Operator regression, we then investigated how flow alteration was influenced by local dam properties (e.g., purpose, storage capacity) and network‐level attributes (e.g., position, upstream cumulative storage). Flow alteration was highly variable across the network, but tended to accumulate downstream and remained high in the main stem. Dam impacts were explained by network‐level attributes (63%) more than by local dam properties (37%), underscoring the need to consider network context when assessing dam impacts. High‐impact dams were often located in sub‐watersheds with high levels of native fish biodiversity, fish imperilment, or species requiring seasonal flows that are no longer present. These three biodiversity dimensions, as well as the amount of dam‐free downstream habitat, indicate potential to restore river ecosystems via controlled flow releases. Our methods are transferrable and could guide screening for dam reoperation in other highly regulated basins. Plain Language Summary: Despite long‐standing efforts to reduce impacts of dams on river biodiversity and ecosystem processes, our understanding of how altered flow regimes propagate in river networks is incomplete. Here we used the Colorado River Basin as a model system to examine how dams alter flow regimes, both individually and cumulatively, as water flows downstream a river network. We found that impacts accumulated downstream, and tributaries were unable to reset natural flow variation in the lower main stem. Although local dam properties (e.g., storage) were important in determining how impactful individual dams were, spatial context (location in the network and upstream regulation) was paramount. Our results advance the notion that basin‐wide reoperation should be considered in any effort to mitigate flow alteration—a critical need in light of new damming in developing economies. Key Points: Dams cumulatively altered streamflow in the Colorado River Basin. Tributaries did not re‐set natural flow variation in the lower main stem Dam‐induced flow alteration was driven by spatial context (location, upstream regulation) more than by local dam properties (e.g., storage) Basin‐wide reoperation should be considered in efforts to mitigate flow alteration and associated biodiversity impacts … (more)
- Is Part Of:
- Earth's future. Volume 10:Issue 6(2022)
- Journal:
- Earth's future
- Issue:
- Volume 10:Issue 6(2022)
- Issue Display:
- Volume 10, Issue 6 (2022)
- Year:
- 2022
- Volume:
- 10
- Issue:
- 6
- Issue Sort Value:
- 2022-0010-0006-0000
- Page Start:
- n/a
- Page End:
- n/a
- Publication Date:
- 2022-06-17
- Subjects:
- Dams -- flow regime alteration -- freshwater biodiversity -- hydro‐ecology -- river networks
Environmental sciences -- Periodicals
Environmental sciences
Periodicals
550 - Journal URLs:
- http://agupubs.onlinelibrary.wiley.com/agu/journal/10.1002/%28ISSN%292328-4277/ ↗
http://onlinelibrary.wiley.com/ ↗ - DOI:
- 10.1029/2021EF002490 ↗
- Languages:
- English
- ISSNs:
- 2328-4277
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 22137.xml