Predictions and Projections of Pine Productivity and Hydrology in Response to Climate Change Across the Southern United States

McNulty, Steven G.; Vose, James M.; Swank, Wayne T.

doi:10.1007/978-1-4612-2178-4_22

Cited by 11 publications

(13 citation statements)

References 19 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Solar radiation values were then combined with monthly maximum and minimum air temperature and total monthly precipitation as input for PnET. Predictions of forest biomass from PnET have been well correlated with average annual basal area growth measured at sites across the region (McNulty et al, 1998). Forest biomass predictions for 1992 were estimated …”

Section: Forest Productivity Modelingmentioning

confidence: 90%

Regional estimation of current and future forest biomass

Mickler¹,

Earnhardt

Moore

2002

Environmental Pollution

View full text Add to dashboard Cite

The 90,674 wildland fires that burned 2.9 million ha at an estimated suppression cost of $1.6 billion in the United States during the 2000 fire season demonstrated that forest fuel loading has become a hazard to life, property, and ecosystem health as a result of past fire exclusion policies and practices. The fire regime at any given location in these regions is a result of complex interactions between forest biomass, topography, ignitions, and weather. Forest structure and biomass are important aspects in determining current and future fire regimes. Efforts to quantify live and dead forest biomass at the local to regional scale has been hindered by the uncertainty surrounding the measurement and modeling of forest ecosystem processes and fluxes. The interaction of elevated CO 2 with climate, soil nutrients, and other forest management factors that affect forest growth and fuel loading will play a major role in determining future forest stand growth and the distribution of species across the southern United States. The use of satellite image analysis has been tested for timely and accurate measurement of spatially explicit land use change and is well suited for use in inventory and monitoring of forest carbon. The incorporation of Landsat Thematic Mapper data coupled with a physiologically based productivity model (PnET), soil water holding capacity, and historic and projected climatic data provides an opportunity to enhance field plot based forest inventory and monitoring methodologies. We use periodic forest inventory data from the USDA Forest Service's Forest Inventory and Analysis (FIA) project to obtain estimates of forest area and type to generate estimates of carbon storage for evergreen, deciduous, and mixed forest classes for use in an assessment of remotely sensed forest cover at the regional scale for the southern United States. The displays of net primary productivity (NPP) generated from the PnET model show areas of high and low forest carbon storage potential and their spatial relationship to other landscape features for the southern United States. At the regional scale, predicted annual NPP in 1992 ranged from 836 to 2181 g/m 2 /year for evergreen forests and 769-2634 g/m 2 /year for deciduous forests with a regional mean for all forest land of 1448 g/m 2 /year. Prediction of annual NPP in 2050 ranged from 913 to 2076 g/m 2 /year for evergreen forest types to 1214-2376 g/m 2 /year for deciduous forest types with a regional mean for all forest land of 1659 g/m 2 /year. The changes in forest productivity from 1992 to 2050 are shown to display potential areas of increased or decreased forest biomass. This methodology addresses the need for spatially quantifying forest carbon in the terrestrial biosphere to assess forest productivity and wildland fire fuels. #

show abstract

Section: Forest Productivity Modelingmentioning

confidence: 90%

Regional estimation of current and future forest biomass

Mickler¹,

Earnhardt

Moore

2002

Environmental Pollution

View full text Add to dashboard Cite

show abstract

“…WaSSI is calculated by dividing water demand by supply, where higher values indicate higher stress on watersheds and water systems. From Lockaby et al 2011. continues to increase, conditions for pine growth may begin to deteriorate (McNulty et al 1998b). Even if regional forest productivity remains high, the center of forest productivity could shift farther north into North Carolina and Virginia, causing significant economic and social effects in those areas gaining and losing timber industry jobs (Sohngen et al 2001).…”

Section: Eastern Broadleaf Forestmentioning

confidence: 99%

Effects of climatic variability and change on forest ecosystems: a comprehensive science synthesis for the U.S

Vose¹,

Peterson²,

Patel-Weynand³

2012

Self Cite

103

View full text Add to dashboard Cite

“…[8][9][10] PnET-II predictions of forest productivity have been well correlated with average annual site basal area growth measured across the eastern United States. 11 Input data required by PnET-II include monthly climate parameters, soil water holding capacity (WHC), and species-or forest-type specific vegetation parameters. PnET-II output is dependent on the spatial resolution of input data and includes forest growth, evapotranspiration (ET), drainage, and soil water stress over time.…”

Section: Forest Productivity Modelingmentioning

confidence: 99%

“…15 PnET-II vegetation variables include foliar nitrogen concentration, light extinction coefficient, and other physiological coefficients or constants derived from field measurements and published literature. 11,14 Based on the climate, soil, and vegetation input data, PnET-II calculates the maximum amount of foliage or leaf area that can be supported. 16 NPP equals total gross photosynthesis minus growth and maintenance respiration for leaf, wood, and root compartments.…”

Section: Forest Productivity Modelingmentioning

confidence: 99%