No Evidence for Long-term Impacts of Oil Spill Contamination on Salt Marsh Soil Nitrogen Cycling Processes

2020 ◽  
Vol 43 (4) ◽  
pp. 865-879
Author(s):  
Charles A. Schutte ◽  
John M. Marton ◽  
Anne E. Bernhard ◽  
Anne E. Giblin ◽  
Brian J. Roberts
Keyword(s):  
Salt Marsh ◽  
Nitrogen Cycling ◽  
Oil Spill ◽  
Soil Nitrogen ◽  
Marsh Soil ◽  
Salt Marsh Soil ◽  
Soil Nitrogen Cycling

scholarly journals Riparian soil nitrogen cycling and isotopic enrichment in response to a long‐term salmon carcass manipulation experiment

Ecosphere ◽  
2019 ◽  
Vol 10 (11) ◽  
Author(s):  
Megan L. Feddern ◽  
Gordon W. Holtgrieve ◽  
Steven S. Perakis ◽  
Julia Hart ◽  
Hyejoo Ro ◽  
...  
Keyword(s):  
Nitrogen Cycling ◽  
Soil Nitrogen ◽  
Isotopic Enrichment ◽  
Soil Nitrogen Cycling ◽  
Salmon Carcass ◽  
Manipulation Experiment

Impacts of the long-term presence of buried crude oil on salt marsh soil denitrification in Barataria Bay, Louisiana

2017 ◽  
Vol 99 ◽  
pp. 454-461 ◽  
Author(s):  
Brian M. Levine ◽  
John R. White ◽  
Ronald D. DeLaune
Keyword(s):  
Salt Marsh ◽  
Crude Oil ◽  
Marsh Soil ◽  
Barataria Bay ◽  
Salt Marsh Soil

REVERSAL OF NITROGEN SATURATION AFTER LONG-TERM DEPOSITION REDUCTION: IMPACT ON SOIL NITROGEN CYCLING

Ecology ◽  
2004 ◽  
Vol 85 (11) ◽  
pp. 3090-3104 ◽  
Author(s):  
Marife D. Corre ◽  
Norbert P. Lamersdorf
Keyword(s):  
Nitrogen Cycling ◽  
Soil Nitrogen ◽  
Nitrogen Saturation ◽  
Soil Nitrogen Cycling

scholarly journals Machine-Learning Classification of Soil Bulk Density in Salt Marsh Environments

Sensors ◽  
2021 ◽  
Vol 21 (13) ◽  
pp. 4408
Author(s):  
Iman Salehi Hikouei ◽  
S. Sonny Kim ◽  
Deepak R. Mishra
Keyword(s):  
Machine Learning ◽  
Remote Sensing ◽  
Salt Marsh ◽  
Bulk Density ◽  
Remote Sensing Data ◽  
Soil Bulk Density ◽  
Soil Samples ◽  
Marsh Soil ◽  
Landsat 7 ◽  
Salt Marsh Soil

Remotely sensed data from both in situ and satellite platforms in visible, near-infrared, and shortwave infrared (VNIR–SWIR, 400–2500 nm) regions have been widely used to characterize and model soil properties in a direct, cost-effective, and rapid manner at different scales. In this study, we assess the performance of machine-learning algorithms including random forest (RF), extreme gradient boosting machines (XGBoost), and support vector machines (SVM) to model salt marsh soil bulk density using multispectral remote-sensing data from the Landsat-7 Enhanced Thematic Mapper Plus (ETM+) platform. To our knowledge, use of remote-sensing data for estimating salt marsh soil bulk density at the vegetation rooting zone has not been investigated before. Our study reveals that blue (band 1; 450–520 nm) and NIR (band 4; 770–900 nm) bands of Landsat-7 ETM+ ranked as the most important spectral features for bulk density prediction by XGBoost and RF, respectively. According to XGBoost, band 1 and band 4 had relative importance of around 41% and 39%, respectively. We tested two soil bulk density classes in order to differentiate salt marshes in terms of their capability to support vegetation that grows in either low (0.032 to 0.752 g/cm3) or high (0.752 g/cm3 to 1.893 g/cm3) bulk density areas. XGBoost produced a higher classification accuracy (88%) compared to RF (87%) and SVM (86%), although discrepancies in accuracy between these models were small (<2%). XGBoost correctly classified 178 out of 186 soil samples labeled as low bulk density and 37 out of 62 soil samples labeled as high bulk density. We conclude that remote-sensing-based machine-learning models can be a valuable tool for ecologists and engineers to map the soil bulk density in wetlands to select suitable sites for effective restoration and successful re-establishment practices.

Soil nitrogen cycling under contrasting management systems in Amazon Coffea canephora agroecosystems

2021 ◽  
Author(s):  
Rosa Elena Ibarra López ◽  
Eduardo F. Chávez Navarrete ◽  
Jimmy T. Pico Rosado ◽  
Cristian R. Subía García ◽  
Andrew J. Margenot
Keyword(s):  
Nitrogen Cycling ◽  
Soil Nitrogen ◽  
Coffea Canephora ◽  
Management Systems ◽  
Soil Nitrogen Cycling

Flood pulses control soil nitrogen cycling in a dynamic river floodplain

Geoderma ◽  
2014 ◽  
Vol 228-229 ◽  
pp. 14-24 ◽  
Author(s):  
J. Shrestha ◽  
P.A. Niklaus ◽  
N. Pasquale ◽  
B. Huber ◽  
R.L. Barnard ◽  
...  
Keyword(s):  
Nitrogen Cycling ◽  
Soil Nitrogen ◽  
Control Soil ◽  
River Floodplain ◽  
Flood Pulses ◽  
Soil Nitrogen Cycling

Changes in soil nitrogen cycling in a northern temperate forest ecosystem during succession

2014 ◽  
Vol 121 (3) ◽  
pp. 471-488 ◽  
Author(s):  
L. E. Nave ◽  
J. P. Sparks ◽  
J. Le Moine ◽  
B. S. Hardiman ◽  
K. J. Nadelhoffer ◽  
...  
Keyword(s):  
Nitrogen Cycling ◽  
Soil Nitrogen ◽  
Forest Ecosystem ◽  
Temperate Forest ◽  
Soil Nitrogen Cycling ◽  
Temperate Forest Ecosystem
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