riparian ecosystem
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Ecosphere ◽  
2021 ◽  
Vol 12 (10) ◽  
Author(s):  
Kaleb K. Heinrich ◽  
Colden V. Baxter ◽  
Alex T. C. Bell ◽  
James M. Hood

Agriculture ◽  
2021 ◽  
Vol 11 (8) ◽  
pp. 743
Author(s):  
Marzia Tamanna ◽  
Soni M. Pradhanang ◽  
Arthur J. Gold ◽  
Kelly Addy ◽  
Philippe G. Vidon

The Riparian Ecosystem Management Model (REMM) was developed, calibrated and validated for both hydrologic and water quality data for eight riparian buffers located in a formerly glaciated watershed (upper Pawcatuck River Watershed, Rhode Island) of the US Northeast. The Annualized AGricultural Non-Point Source model (AnnAGNPS) was used to predict the runoff and sediment loading to the riparian buffer. Overall, results showed REMM simulated water table depths (WTDs) and groundwater NO3-N concentrations at the stream edge (Zone 1) in good agreement with measured values. The model evaluation statistics showed that, hydrologically REMM performed better for site 1, site 4, and site 8 among the eight buffers, whereas REMM simulated better groundwater NO3-N concentrations in the case of site 1, site 5, and site 7 when compared to the other five sites. The interquartile range of mean absolute error for WTDs was 3.5 cm for both the calibration and validation periods. In the case of NO3-N concentrations prediction, the interquartile range of the root mean square error was 0.25 mg/L and 0.69 mg/L for the calibration and validation periods, respectively, whereas the interquartile range of d for NO3-N concentrations was 0.20 and 0.48 for the calibration and validation period, respectively. Moreover, REMM estimation of % N-removal from Zone 3 to Zone 1 was 19.7%, and 19.8% of N against actual measured 19.1%, and 26.6% of N at site 7 and site 8, respectively. The sensitivity analyses showed that changes in the volumetric water content between field capacity and saturation (soil porosity) were driving water table and denitrification.


2021 ◽  
Vol 13 (7) ◽  
pp. 1332
Author(s):  
Pamela L. Nagler ◽  
Armando Barreto-Muñoz ◽  
Sattar Chavoshi Borujeni ◽  
Hamideh Nouri ◽  
Christopher J. Jarchow ◽  
...  

Declines in riparian ecosystem greenness and water use have been observed in the delta of the Lower Colorado River (LCR) since 2000. The purpose of our case study was to measure these metrics on the U.S. side of the border between Hoover and Morelos Dams to see if declining greenness was unique to the portion of the river in Mexico. In this case study, five riparian reaches of the LCR from Hoover to Morelos Dam since 2000 were studied to evaluate trends in riparian ecosystem health. We measure these riparian woodlands using remotely sensed measurements of the two-band Enhanced Vegetation Index (EVI2; a proxy for greenness); daily evapotranspiration (ET; mmd−1) using EVI2 (ET(EVI2)); and an annualized ET based on EVI2, the Phenology Assessment Metric (PAM ET), an annualized ET using Landsat time-series. A key finding is that riparian health and its water use has been in decline since 2000 on the U.S. portion of the LCR, depicting a loss of green vegetation over the last two decades. EVI2 results show a decline of −13.83%, while average daily ET(EVI2) between the first and last decade had a decrease of over 1 mmd−1 (−27.30%) and the respective average PAM ET losses were 170.91 mmyr−1 (−17.95%). The difference between the first and last five-year periods, 2000–2005 and 2016–2020, showed the largest decrease in daily ET(EVI) of 1.24 mmd−1 (−32.61%). These declines come from a loss in healthy, green, riparian plant-cover, not a change in plant water use efficiency nor efficient use of managed water resources. Our results suggest further deterioration of biodiversity, wildlife habitat and other key ecosystem services on the U.S. portion of the LCR.


2021 ◽  
Vol 55 (8) ◽  
pp. 4573-4584
Author(s):  
Shanyun Wang ◽  
Xiaomin Wang ◽  
Yingying Jiang ◽  
Chang Han ◽  
Mike S. M. Jetten ◽  
...  

Wetlands ◽  
2020 ◽  
Vol 40 (6) ◽  
pp. 1897-1907 ◽  
Author(s):  
Gabrielle L. Katz ◽  
Graham M. Tuttle ◽  
Michael W. Denslow ◽  
Andrew P. Norton

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