Evidence for microfloral succession on allochthonous plant litter in Apalachicola Bay, Florida, USA

1977 ◽  
Vol 41 (3) ◽  
pp. 229-240 ◽  
Author(s):  
S. J. Morrison ◽  
J. D. King ◽  
R. J. Bobbie ◽  
R. E. Bechtold ◽  
D. C. White
Keyword(s):  
Plant Litter ◽  
Apalachicola Bay

The effect of excluding plant litter on the aquatic hyphomycete conidia in a headwater stream.

2003 ◽  
Vol 54 (3-4) ◽  
pp. 249-260 ◽  
Author(s):  
Vladislav Gulis ◽  
Keller Suberkropp
Keyword(s):  
Plant Litter ◽  
Headwater Stream

scholarly journals Using plant litter decomposition as an indicator of ecosystem response to soil contamination

2021 ◽  
Vol 125 ◽  
pp. 107554
Author(s):  
Antoine Lecerf ◽  
Aurélie Cébron ◽  
Franck Gilbert ◽  
Michael Danger ◽  
Hélène Roussel ◽  
...  
Keyword(s):  
Soil Contamination ◽  
Litter Decomposition ◽  
Plant Litter ◽  
Ecosystem Response ◽  
Plant Litter Decomposition

Effects of management on plant litter traits and consequences for litter mass loss and Collembola functional diversity in a Mediterranean agro-forest system

Pedobiologia ◽  
2019 ◽  
Vol 75 ◽  
pp. 38-51 ◽  
Author(s):  
Eduardo Nascimento ◽  
Filipa Reis ◽  
Filipe Chichorro ◽  
Cristina Canhoto ◽  
Ana Lúcia Gonçalves ◽  
...  
Keyword(s):  
Mass Loss ◽  
Functional Diversity ◽  
Plant Litter ◽  
Litter Mass ◽  
Litter Traits ◽  
Litter Mass Loss

Effect of Plant Litter on Seed Predation in Three Prairie Types

2006 ◽  
Vol 155 (2) ◽  
pp. 278-285 ◽  
Author(s):  
AARON W. REED ◽  
GLENNIS A. KAUFMAN ◽  
DONALD W. KAUFMAN
Keyword(s):  
Seed Predation ◽  
Plant Litter

scholarly journals Analysis Methods for Characterizing Salinity Variability from Multivariate Time Series Applied to the Apalachicola Bay Estuary

2012 ◽  
Vol 29 (4) ◽  
pp. 613-628 ◽  
Author(s):  
Steven L. Morey ◽  
Dmitry S. Dukhovskoy
Keyword(s):  
Time Series ◽  
Time Scales ◽  
River Discharge ◽  
River Flow ◽  
High Salinity ◽  
Multivariate Time Series ◽  
Salinity Range ◽  
Apalachicola Bay ◽  
Analysis Methods ◽  
Salinity Variability

Abstract Statistical analysis methods are developed to quantify the impacts of multiple forcing variables on the hydrographic variability within an estuary instrumented with an enduring observational system. The methods are applied to characterize the salinity variability within Apalachicola Bay, a shallow multiple-inlet estuary along the northeastern Gulf of Mexico coast. The 13-yr multivariate time series collected by the National Estuary Research Reserve at three locations within the bay are analyzed to determine how the estuary responds to variations in external forcing mechanisms, such as freshwater discharge, precipitation, tides, and local winds at multiple time scales. The analysis methods are used to characterize the estuarine variability under differing flow regimes of the Apalachicola River, a managed waterway, with particular focus on extreme events and scales of variability that are critical to local ecosystems. Multivariate statistical models are applied that describe the salinity response to winds from multiple directions, river flow, and precipitation at daily, weekly, and monthly time scales to understand the response of the estuary under different climate regimes. Results show that the salinity is particularly sensitive to river discharge and wind magnitude and direction, with local precipitation being largely unimportant. Applying statistical analyses with conditional sampling quantifies how the likelihoods of high-salinity and long-duration high-salinity events, conditions of critical importance to estuarine organisms, change given the state of the river flow. Intraday salinity range is shown to be negatively correlated with the salinity, and correlated with river discharge rate.

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