scholarly journals Some edaphic properties in Dicranopteris linearis dominated landscape:A perspective for restoration success

2021 ◽  
Vol 50 (1) ◽  
pp. 17
Author(s):  
R. Liyanage ◽  
T. Kariyawasam ◽  
T. Wijewickrama ◽  
J. Bandara ◽  
S. Madawala
2018 ◽  
Vol 36 (1) ◽  
pp. 76-85 ◽  
Author(s):  
Kristen E. Dybala ◽  
Andrew Engilis ◽  
John A. Trochet ◽  
Irene E. Engilis ◽  
Melanie L. Truan

Author(s):  
Alexandra S. Thomsen ◽  
Johannes Krause ◽  
Monica Appiano ◽  
Karen E. Tanner ◽  
Charlie Endris ◽  
...  

AbstractSea level rise threatens coastal wetlands worldwide, and restoration projects are implementing strategies that decrease vulnerability to this threat. Vegetation monitoring at sites employing new restoration strategies and determination of appropriate monitoring techniques improve understanding of factors leading to restoration success. In Central California, soil addition raised a degraded marsh plain to a high elevation expected to be resilient to sea level rise over the next century. We monitored plant survival and recruitment using area searches, transect surveys, and unoccupied aircraft systems (UAS) imagery. We used random forest modeling to examine the influence of nine environmental variables on vegetation colonization and conducted targeted soil sampling to examine additional factors contributing to vegetation patterns. Limited pre-construction vegetation survived soil addition, likely due to the sediment thickness (mean = 69 cm) and placement method. After 1 year, about 10% of the initially bare area saw vegetation reestablishment. Elevation and inundation frequency were particularly critical to understanding restoration success, with greatest vegetation cover in high-elevation areas tidally inundated < 0.85% of the time. Soil analysis suggested greater salinity stress and ammonium levels in poorly-vegetated compared to well-vegetated areas at the same elevation. We found that both transect and UAS methods were suitable for monitoring vegetation colonization. Field transects may provide the best approach for tracking early vegetation colonization at moderate-sized sites under resource limitations, but UAS provide a complementary landscape perspective. Beyond elucidating patterns and drivers of marsh dynamics at a newly restored site, our investigation informs monitoring of marsh restoration projects globally.


2021 ◽  
Author(s):  
Mel Galbraith ◽  
David R. Towns ◽  
Barbara Bollard‐Breen ◽  
Edith A. MacDonald

2021 ◽  
Vol 166 ◽  
pp. 106879
Author(s):  
Bastien Jally ◽  
Baptiste Laubie ◽  
Zeinab Chour ◽  
Laurence Muhr ◽  
Rongliang Qiu ◽  
...  

1998 ◽  
Vol 14 (5) ◽  
pp. 645-664 ◽  
Author(s):  
John Terborgh ◽  
Ellen Andresen

An analysis was conducted of floristic patterns contained in 48 1-ha tree plots distributed at 29 sites in seven neotropical countries, with a primary emphasis on the Amazonian region. Analyses were made with family level data, using detrended correspondence analysis and multidimensional scaling to generate two-dimensional ordinations. Dissimilarity values for all pairs of plots were then used to compare forest composition at both local (flooded vs unflooded forests) and regional scales (e.g., western vs central vs eastern Amazonia). The predominate family of trees in a large majority of Amazonian and Guianan forests (by number of stems) is either Palmae or Leguminosae (sensu latu), followed by Moraceae and Euphorbiaceae. The forests of western Amazonia are particularly rich in palms, Moraceae, and Myristicaceae, whereas those of eastern Amazonia and the Guianas are rich in Lecythidaceae and Chrysobalanaceae. Dissimilarity between sites increases with distance for both flooded and unflooded forests. The tree communities of flooded and unflooded forests within a region tended to resemble one another more closely than forests of either type resembled the homologous forests of the adjoining regions. Within Amazonia the edaphic properties of each region and its geological history are tightly interrelated. It is therefore difficult to distinguish between evolutionary and ecological interpretations of the results.


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