Projections of Growth of Loblolly Pine Stands Under Elevated Temperatures and Carbon Dioxide

Author(s):  
Harry T. Valentine ◽  
Timothy G. Gregoire ◽  
Harold E. Burkhart ◽  
David Y. Hollinger
1995 ◽  
Vol 25 (10) ◽  
pp. 1570-1577 ◽  
Author(s):  
D.C. Hornsby ◽  
B.G. Lockaby ◽  
A.H. Chappelka

The effect of climatic variation on decomposition was studied in a field experiment. Plexiglas microcosms were used to elevate temperatures and allow implementation of varied precipitation rates. The study was conducted in a loblolly pine (Pinustaeda L.) stand near Auburn, Alabama. Temperatures were elevated (1–8 °C depending on the season) and precipitation was varied (±30% of ambient). A litterbag approach was used to examine decomposition dynamics within the microcosms. Elevated temperatures significantly increased decomposition rates within microcosm treatments. Enhanced moisture stimulated decomposition above that associated with ambient levels of precipitation while decreased precipitation produced no significant decrease in decomposition within our temperature range. In general, litter N concentrations increased, carbon content decreased, and C/N ratios decreased over time, and these effects were accelerated when temperature was increased. Within our range of environmental factors, increases in temperature could result in accelerated decomposition and alterations in nutrient cycling regardless of the precipitation change. However, should precipitation increase as well, litter decomposition will be further stimulated.


2003 ◽  
Vol 9 (6) ◽  
pp. 849-861 ◽  
Author(s):  
JOHN R. BUTNOR ◽  
KURT H. JOHNSEN ◽  
RAM OREN ◽  
GABRIEL G. KATUL

2021 ◽  
Author(s):  
М. S. Khoma ◽  
V. А. Vynar ◽  
B. М. Datsko ◽  
V. R. Іvashkiv ◽  
M. R. Chuchman ◽  
...  

1999 ◽  
Vol 23 (4) ◽  
pp. 230-237
Author(s):  
Bruce E. Borders ◽  
Jeffrey B. Jordan

Abstract Regional and national timber supply models require standing inventory update procedures. To date, most inventory update procedures used in regional timber supply algorithms have not made use of growth and yield methodology. We present growth and yield models to update standing inventories for natural and planted slash and loblolly pine stands in Georgia. These models were fitted to USDA Forest Service Forest Inventory and Analysis data obtained from the sixth survey of Georgia and should prove useful in regional timber supply projection algorithms. South. J. Appl. For. 23(4):230-237.


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