Simulating a natural fire regime on an Atlantic coast barrier island complex in Florida, USA

2011 ◽  
Vol 222 (9) ◽  
pp. 1639-1650 ◽  
Author(s):  
Brean W. Duncan ◽  
John F. Weishampel ◽  
Seth H. Peterson
2018 ◽  
Vol 26 (3) ◽  
pp. e015
Author(s):  
José R. Arévalo ◽  
Eduardo Estrada ◽  
Juan A. Encina ◽  
José A. Villareal ◽  
Job R. Escobedo ◽  
...  

Aim of the study: To analyze the impact of the 1998 wildfire on dwarf pine (Pinus culminicola) population stands 18 years after the fire.Area of study: Cerro el Potosí, Nuevo León (México)Material and methods: We measured regeneration, biovolume of individuals, diversity and species composition in unburned and burned plots randomly selected in the area.Main results: Recovery was very slow, with limited dense natural regeneration and very slow growth. Significant differences between control and burned plots were found with respect to regeneration, species composition, evenness and soil nutrients, suggesting that fire could promote natural regeneration and biodiversity in these communities.Research highlights: Management efforts are necessary to maintain a natural fire regime and ensure grazing exclusion in order to favor the conservation of the community dominated by this rare species P. culminicola.


2019 ◽  
Vol 55 (7) ◽  
pp. 5751-5769 ◽  
Author(s):  
Gabrielle F. S. Boisramé ◽  
Sally E. Thompson ◽  
Christina (Naomi) Tague ◽  
Scott L. Stephens

Fire Ecology ◽  
2008 ◽  
Vol 4 (2) ◽  
pp. 115-132 ◽  
Author(s):  
Richard L. Hutto ◽  
Courtney J. Conway ◽  
Victoria A. Saab ◽  
Jeffrey R. Walters

Silva Fennica ◽  
2002 ◽  
Vol 36 (1) ◽  
Author(s):  
Yves Bergeron ◽  
Alain Leduc ◽  
Brian Harvey ◽  
Sylvie Gauthier

1997 ◽  
Vol 75 (1) ◽  
pp. 77-85 ◽  
Author(s):  
David W. Martin ◽  
Donald R. Young

A field and laboratory study examined the hypothesis that the small-scale distribution pattern of Juniperus virginiana on barrier islands is related to salinity patterns and plant responses to salinity. Temporal (May – October) and spatial variability in ground water availability, ground water salinity, and total soil chlorides were quantified across a Virginia barrier island. Groundwater depth and salinity increased throughout the summer; microtopographic position and location on the island also affected soil salinities. Highest salinities occurred near the ocean side beach and bay side marsh, as well as in low lying swales that flood during extreme high tides or storms. Median rooting zone chloride level for J. virginiana was 54 μg/g. In contrast, laboratory germination and growth studies indicated that J. virginiana was significantly affected only at high salinity levels (1000 and 1400 μg/g), suggesting that salinity is not the only factor regulating small-scale distribution patterns. The broad tolerance to salinity may account for the abundance of J. virginiana in coastal environments. Key words: barrier island, eastern red cedar, Juniperus virginiana, salinity response, water relations.


Author(s):  
Stephanie Smallegan ◽  
Evan Mazur

The numerical model XBeach is used to simulate hydrodynamics and morphological change of Bay Head, NJ, which is located on a developed barrier island. Bay Head is fronted with a seawall buried beneath its dunes, and the seawall has been shown to mitigate damage due to storm surge and waves during Hurricane Sandy (2012). The objective of this study is to re-evaluate the effectiveness of the seawall in mitigating damage from a synthetic storm and sea level rise, and refine an adaptation pathway previously created for Bay Head. Utilizing the wave and surge data generated from the North Atlantic Coast Comprehensive Study, synthetic Storm 391 is simulated using XBeach. Model results show the seawall is overtopped by storm surge and waves, causing overwash and reducing dune heights. As sea levels rise, the backbarrier region of the barrier island is severely eroded and the seawall acts as a barrier preventing elevated bay water levels from freely flowing across the island and into the ocean, exacerbating sediment transport on the backbarrier. To fully evaluate the capabilities and limitations of the seawall in mitigating storm damage, additional synthetic storms need to be simulated and the results re-evaluated. This will, in turn, lead to a comprehensive, more robust adaptation pathway for Bay Head.


2013 ◽  
Vol 43 (1) ◽  
pp. 7-17 ◽  
Author(s):  
Seth H. Peterson ◽  
Janet Franklin ◽  
Dar A. Roberts ◽  
Jan W. van Wagtendonk

Decades of fire suppression have led to unnaturally large accumulations of fuel in some forest communities in the western United States, including those found in lower and midelevation forests in Yosemite National Park in California. We employed the Random Forests decision tree algorithm to predict fuel models as well as 1-h live and 1-, 10-, and 100-h dead fuel loads using a suite of climatic, topographic, remotely sensed, and burn history predictor variables. Climate variables and elevation consistently were most useful for predicting all types of fuels, but remotely sensed variables increased the kappa accuracy metric by 5%–12% age points in each case, demonstrating the utility of using disparate data sources in a topographically diverse region dominated by closed-canopy vegetation. Fire history information (time-since-fire) generally only increased kappa by 1% age point, and only for the largest fuel classes. The Random Forests models were applied to the spatial predictor layers to produce maps of fuel models and fuel loads, and these showed that fuel loads are highest in the low-elevation forests that have been most affected by fire suppression impacting the natural fire regime.


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