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Journal

2013

Journal of the Arkansas Academy of Science

Forest Sciences

Articles 1 - 4 of 4

Full-Text Articles in Life Sciences

Relationship Between Land-Use And Water Quality In Spring-Fed Streams Of The Ozark National Forest, A. Smartt, S. Ganguly, M. A. Evans-White, B. E. Haggard Jan 2013

Relationship Between Land-Use And Water Quality In Spring-Fed Streams Of The Ozark National Forest, A. Smartt, S. Ganguly, M. A. Evans-White, B. E. Haggard

Journal of the Arkansas Academy of Science

Spring-fed streams are abundant in karst topographic regions such as the Ozarks, providing an important and valuable water resource. Many of these spring-fed streams presently receive agriculture runoff, but few studies have examined the impacts of this runoff on water quality. We examined water quality in Ozark spring-fed streams surrounded by either agricultural (N=3) or primarily forested land (N=3) in the riparian zone. We hypothesized that agricultural sites would have greater dissolved nutrient concentrations and conductivity than forested sites and that water quality would fluctuate with distance from the spring source. Conductivity (p


Distribution Of Soil Density At A Bottomland Hardwood Forest Wetland Restoration, Chicot County, Arkansas, B. E. Sleeper, Robert L. Ficklin Jan 2013

Distribution Of Soil Density At A Bottomland Hardwood Forest Wetland Restoration, Chicot County, Arkansas, B. E. Sleeper, Robert L. Ficklin

Journal of the Arkansas Academy of Science

Bottomland hardwood forest (BLHF) soils provide a myriad of ecosystem services, yet much information is lacking with respect to how soil physical properties influence biogeochemical cycling along topographic gradients. Current patterns of vegetation at a 149ha wetland restoration site in Chicot County, Arkansas, suggest the presence of ecologically significant variation in soil properties within the Perry Clay soil series. A study was initiated in the Lower Mississippi Alluvial Valley (LMAV) to map soil bulk density and texture as well as to identify the interrelationships between soil physical properties, soil organic carbon, and total nitrogen. A random grid was used to …


Deriving Biomass Models For Small-Diameter Loblolly Pine On The Crossett Experimental Forest, K. M. Mcelligot, Don C. Bragg Jan 2013

Deriving Biomass Models For Small-Diameter Loblolly Pine On The Crossett Experimental Forest, K. M. Mcelligot, Don C. Bragg

Journal of the Arkansas Academy of Science

Foresters and landowners have a growing interest in carbon sequestration and cellulosic biofuels in southern pine forests, and hence need to be able to accurately predict them. To this end, we derived a set of aboveground biomass models using data from 62 small-diameter loblolly pines (Pinus taeda) sampled on the Crossett Experimental Forest in southeastern Arkansas. Of the 25 equations initially evaluated, we chose 17 that best fit our dataset and compared them using a suite of conventional test statistics, including pseudo-R2 , root mean squared error (RMSE), and bias. Because most of the 17 models varied little in pseudoR …


Comparing Aboveground Biomass Predictions For An Uneven-Aged Pine-Dominated Stand Using Local, Regional, And National Models, Don C. Bragg, K. M. Mcelligott Jan 2013

Comparing Aboveground Biomass Predictions For An Uneven-Aged Pine-Dominated Stand Using Local, Regional, And National Models, Don C. Bragg, K. M. Mcelligott

Journal of the Arkansas Academy of Science

Sequestration by Arkansas forests removes carbon dioxide from the atmosphere, storing this carbon in biomass that fills a number of critical ecological and socioeconomic functions. We need a better understanding of the contribution of forests to the carbon cycle, including the accurate quantification of tree biomass. Models have long been developed to predict aboveground live tree biomass, but few of these have been derived from Arkansas forests. Since there is geographic variability in the growth and yield of pine as a function of genetics, site conditions, growth rate, stand stocking, and other factors, we decided to compare aboveground tree biomass …