Nutrient Removal Potential of Headwater Wetlands in Coastal Plains of Alabama, USA
Advanced Search
Select up to three search categories and corresponding keywords using the fields to the right. Refer to the Help section for more detailed instructions.

Search our Collections & Repository

For very narrow results

When looking for a specific result

Best used for discovery & interchangable words

Recommended to be used in conjunction with other fields

Dates

to

Document Data
Library
People
Clear All
Clear All

For additional assistance using the Custom Query please check out our Help Page

i

Nutrient Removal Potential of Headwater Wetlands in Coastal Plains of Alabama, USA

Filetype[PDF-5.49 MB]


Select the Download button to view the document
This document is over 5mb in size and cannot be previewed

Details:

  • Journal Title:
    Water
  • Personal Author:
  • NOAA Program & Office:
  • Description:
    Headwater streams drain over 70% of the land in the United States with headwater wetlands covering 6.59 million hectares. These ecosystems are important landscape features in the southeast United States, with underlying effects on ecosystem health, water yield, nutrient cycling, biodiversity, and water quality. However, little is known about the relationship between headwater wetlands’ nutrient function (i.e., nutrient load removal (RL) and removal efficiency (ER)) and their physical characteristics. Here, we investigate this relationship for 44 headwater wetlands located within the Upper Fish River watershed (UFRW) in coastal Alabama. To accomplish this objective, we apply the process-based watershed model SWAT (Soil and Water Assessment Tool) to generate flow and nutrient loadings to each study wetland and subsequently quantify the wetland-level nutrient removal efficiencies using the process-based wetland model WetQual. Results show that the calculated removal efficiencies of the headwater wetlands in the UFRW are 75–84% and 27–35% for nitrate (NO3−) and phosphate (PO4+), respectively. The calculated nutrient load removals are highly correlated with the input loads, and the estimated PO4+ ERshows a significant decreasing trend with increased input loadings. The relationship between NO3− ER and wetland physical characteristics such as area, volume, and residence time is statistically insignificant (p > 0.05), while for PO4+, the correlation is positive and statistically significant (p < 0.05). On the other hand, flashiness (flow pulsing) and baseflow index (fraction of inflow that is coming from baseflow) have a strong effect on NO3− removal but not on PO4+ removal. Modeling results and statistical analysis point toward denitrification and plant uptake as major NO3− removal mechanisms, whereas plant uptake, diffusion, and settling of sediment-bound P were the main mechanisms for PO4+ removal. Additionally, the computed nutrient ER is higher during the driest year of the simulated period compared to during the wettest year. Our findings are in line with global-level studies and offer new insights into wetland physical characteristics affecting nutrient removal efficiency and the importance of headwater wetlands in mitigating water quality deterioration in coastal areas. The regression relationships for NO3− and PO4+ load removals in the selected 44 wetlands are then used to extrapolate nutrient load removals to 348 unmodeled non-riverine and non-riparian wetlands in the UFRW (41% of UFRW drains to them). Results show that these wetlands remove 51–61% of the NO3− and 5–10% of the PO4+ loading they receive from their respective drainage areas. Due to geographical proximity and physiographic similarity, these results can be scaled up to the coastal plains of Alabama and Northwest Florida.
  • Keywords:
  • Source:
    Water, 15(15), 2687
  • DOI:
  • ISSN:
    2073-4441
  • Format:
  • Publisher:
  • Document Type:
  • Funding:
  • License:
  • Rights Information:
    CC BY
  • Compliance:
    Library
  • Main Document Checksum:
  • Download URL:
  • File Type:

Supporting Files

  • No Additional Files
More +

You May Also Like

Checkout today's featured content at repository.library.noaa.gov

Version 3.26.1