Wetland Vegetation Response to the Restoration of Sheet Flow at Cheyenne Bottoms, Kansas

2004 ◽  
Vol 12 (3) ◽  
pp. 368-375 ◽  
Author(s):  
Kelly Kindscher ◽  
Todd Aschenbach ◽  
Sharon M. Ashworth
Author(s):  
Ian M. Smith ◽  
Giuseppe E. Fiorino ◽  
Greg P. Grabas ◽  
Douglas A. Wilcox

2009 ◽  
Vol 35 (9) ◽  
pp. 1312-1332 ◽  
Author(s):  
Robert H. Kadlec ◽  
Frederick B. Bevis

2006 ◽  
Vol 109 (1 & 2) ◽  
pp. 47-57 ◽  
Author(s):  
James S. Aber ◽  
Susan W. Aber ◽  
Firooza Pavri ◽  
Elena Volkova ◽  
Robert L. Penner

Wetlands ◽  
2020 ◽  
Vol 40 (6) ◽  
pp. 2609-2619
Author(s):  
Megan K. Bartholomew ◽  
Christopher J. Anderson ◽  
Jacob F. Berkowitz

AbstractAn investigation of wetland vegetation response to groundwater alteration was conducted at the J.B. Starkey Wilderness Park, a large municipal wellfield in the area of west Florida, USA. Decades of historic groundwater withdrawal had created a gradient of impacted wetlands on the wellfield, after which time the groundwater pumping rates were reduced. Nineteen cypress dome wetlands were grouped, based on their hydrologic histories, as either most-altered (least inundation), marginally-altered (intermediate inundation), or least-altered (near-normal inundation). Annual species–level monitoring data were used to evaluate understory plant community response to the hydrologic recovery that resulted from reduced groundwater pumping. Species richness, cover, prevalence index (PI), and species importance percentages were assessed during pre- (2005–2007) and post- (2012–2014) hydrologic recovery periods. The vegetation in marginally- and most-altered wetlands responded to hydrologic recovery with increased species richness and lower PI values (i.e., greater hydrophytic character). However, species importance percentages indicated greater variation in the recovery of most-altered wetlands, where species composition often remained different from least-altered wetlands. Although reductions in groundwater pumping caused sufficient passive hydrologic recovery to elicit a vegetation response, further reductions and/or more time may be needed before the vegetation of some altered wetlands can become comparable to that of least-impacted wetlands.


2007 ◽  
Vol 8 (1) ◽  
pp. 15-24 ◽  
Author(s):  
J. Bhattacharjee ◽  
D. Haukos ◽  
J. Neaville

2015 ◽  
Vol 48 (7) ◽  
pp. 595-604
Author(s):  
Myeong Jun Nam ◽  
◽  
Sang Deog Park ◽  
Seung Kyu Lee ◽  
Seung Sook Shin
Keyword(s):  

2021 ◽  
Vol 13 (3) ◽  
pp. 438
Author(s):  
Subrina Tahsin ◽  
Stephen C. Medeiros ◽  
Arvind Singh

Long-term monthly coastal wetland vegetation monitoring is the key to quantifying the effects of natural and anthropogenic events, such as severe storms, as well as assessing restoration efforts. Remote sensing data products such as Normalized Difference Vegetation Index (NDVI), alongside emerging data analysis techniques, have enabled broader investigations into their dynamics at monthly to decadal time scales. However, NDVI data suffer from cloud contamination making periods within the time series sparse and often unusable during meteorologically active seasons. This paper proposes a virtual constellation for NDVI consisting of the red and near-infrared bands of Landsat 8 Operational Land Imager, Sentinel-2A Multi-Spectral Instrument, and Advanced Spaceborne Thermal Emission and Reflection Radiometer. The virtual constellation uses time-space-spectrum relationships from 2014 to 2018 and a random forest to produce synthetic NDVI imagery rectified to Landsat 8 format. Over the sample coverage area near Apalachicola, Florida, USA, the synthetic NDVI showed good visual coherence with observed Landsat 8 NDVI. Comparisons between the synthetic and observed NDVI showed Root Mean Squared Error and Coefficient of Determination (R2) values of 0.0020 sr−1 and 0.88, respectively. The results suggest that the virtual constellation was able to mitigate NDVI data loss due to clouds and may have the potential to do the same for other data. The ability to participate in a virtual constellation for a useful end product such as NDVI adds value to existing satellite missions and provides economic justification for future projects.


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