Spatial patterns of forest characteristics in the western United States derived from inventories.

In the western United States, forest ecosystems are subject to a variety of forcing mechanisms that drive dynamics, including climate change, land-use/land-cover change, atmospheric pollution, and disturbance. To understand the impacts of these stressors, it is crucial to develop assessments of forest properties to establish baselines, determine the extent of changes, and provide information to ecosystem modeling activities. Here we report on spatial patterns of characteristics of forest ecosystems in the western United States, including area, stand age, forest type, and carbon stocks, and comparisons of these patterns with those from satellite imagery and simulation models. The USDA Forest Service collected ground-based measurements of tree and plot information in recent decades as part of nationwide forest inventories. Using these measurements together with a methodology for estimating carbon stocks for each tree measured, we mapped county-level patterns across the western United States. Because forest ecosystem properties are often significantly different between hardwood and softwood species, we describe patterns of each. The stand age distribution peaked at 60-100 years across the region, with hardwoods typically younger than softwoods. Forest carbon density was highest along the coast region of northern California, Oregon, and Washington and lowest in the arid regions of the Southwest and along the edge of the Great Plains. These results quantify the spatial variability of forest characteristics important for understanding large-scale ecosystem processes and their controlling mechanisms. To illustrate other uses of the inventory-derived forest characteristics, we compared them against examples of independently derived estimates. Forest cover compared well with satellite-derived values when only productive stands were included in the inventory estimates. Forest types derived from satellite observations were similar to our inventory results, though the inventory database suggested more heterogeneity. Carbon stocks from the Century model were in good agreement with inventory results except in the Pacific Northwest and part of the Sierra Nevada, where it appears that harvesting and fire in the 20th century (processes not included in the model runs) reduced measured stand ages and carbon stocks compared to simulations.

[1]  Kurt S. Pregitzer,et al.  Carbon cycling and storage in world forests: biome patterns related to forest age , 2004 .

[2]  M. Barbour,et al.  Sixty Years of Change in Californian Conifer Forests of the San Bernardino Mountains , 1995 .

[3]  Alan H. Strahler,et al.  Global land cover mapping from MODIS: algorithms and early results , 2002 .

[4]  Christopher B. Field,et al.  Postfire response of North American boreal forest net primary productivity analyzed with satellite observations , 2003 .

[5]  J. Townshend,et al.  Carbon emissions from tropical deforestation and regrowth based on satellite observations for the 1980s and 1990s , 2002, Proceedings of the National Academy of Sciences of the United States of America.

[6]  T. Swetnam,et al.  Fire-Southern Oscillation Relations in the Southwestern United States , 1990, Science.

[7]  Luther W. White,et al.  Model-based data assessment for terrestrial carbon processes: implications for sampling strategy in FACE experiments , 2005, Appl. Math. Comput..

[8]  C. E. V. Wagner,et al.  Two recent articles on fire ecology , 1978 .

[9]  T. Kitzberger,et al.  Climatic and human influences on fire regimes in ponderosa pine forests in the Colorado Front Range. , 2000 .

[10]  T. Swetnam,et al.  Warming and Earlier Spring Increase Western U.S. Forest Wildfire Activity , 2006, Science.

[11]  W. Parton,et al.  A general model for soil organic matter dynamics: sensitivity to litter chemistry, texture and management. , 1994 .

[12]  W. Baker,et al.  Nonequilibrium Dynamics between Catastrophic Disturbances and Old‐Growth Forests in Ponderosa Pine Landscapes of the Black Hills , 1997 .

[13]  Sandra A. Brown,et al.  Spatial distribution of biomass in forests of the eastern USA , 1999 .

[14]  B. Kinloch,et al.  White pine blister rust in north america: past and prognosis. , 2003, Phytopathology.

[15]  Christopher B. Field,et al.  FOREST CARBON SINKS IN THE NORTHERN HEMISPHERE , 2002 .

[16]  R. Birdsey,et al.  National-Scale Biomass Estimators for United States Tree Species , 2003, Forest Science.

[17]  Scott D. Miller,et al.  Effect of stand age on whole ecosystem CO2 exchange in the Canadian boreal forest , 2003 .

[18]  J. Régnière,et al.  Assessing the impacts of global warming on forest pest dynamics , 2003 .

[19]  Geneva W. Chong,et al.  Rapid assessment of butterfly diversity in a montane landscape , 2001, Biodiversity & Conservation.

[20]  Peter E. Thornton,et al.  Recent trends in hydrologic balance have enhanced the terrestrial carbon sink in the United States , 2002 .

[21]  R. Monson,et al.  Model‐data synthesis of diurnal and seasonal CO2 fluxes at Niwot Ridge, Colorado , 2006 .

[22]  Shobha Kondragunta,et al.  Estimating forest biomass in the USA using generalized allometric models and MODIS land products , 2006 .

[23]  Thomas T. Veblen,et al.  Disturbance and climatic influences on age structure of ponderosa pine at the pine/grassland ecotone, Colorado Front Range , 1998 .

[24]  P. Ciais,et al.  Consistent Land- and Atmosphere-Based U.S. Carbon Sink Estimates , 2001, Science.

[25]  Yude Pan,et al.  BIOMASS AND NPP ESTIMATION FOR THE MID-ATLANTIC REGION (USA) USING PLOT-LEVEL FOREST INVENTORY DATA , 2001 .

[26]  Eban S. Goodstein Economics and the environment , 1995 .

[27]  Vemap Participants Vegetation/ecosystem modeling and analysis project: Comparing biogeography and biogeochemistry models in a continental-scale study of terrestrial ecosystem responses to climate change and CO2 doubling , 1995 .

[28]  E. Cook,et al.  ENSO AND PDO VARIABILITY AFFECT DROUGHT-INDUCED FIRE OCCURRENCE IN ROCKY MOUNTAIN SUBALPINE FORESTS , 2005 .

[29]  David P. Turner,et al.  A Carbon Budget for Forests of the Conterminous United States , 1995 .

[30]  Ernst Linder,et al.  Estimating diurnal to annual ecosystem parameters by synthesis of a carbon flux model with eddy covariance net ecosystem exchange observations , 2005 .

[31]  Jeffrey G. Masek,et al.  Estimating forest carbon fluxes in a disturbed southeastern landscape: Integration of remote sensing, forest inventory, and biogeochemical modeling , 2006 .

[32]  A. I. Gitelman,et al.  Variability in net primary production and carbon storage in biomass across Oregon forests—an assessment integrating data from forest inventories, intensive sites, and remote sensing , 2005 .

[33]  I. C. Prentice,et al.  Carbon balance of the terrestrial biosphere in the Twentieth Century: Analyses of CO2, climate and land use effects with four process‐based ecosystem models , 2001 .

[34]  T Procter,et al.  Relationships of ozone exposure to pine injury in the Sierra Nevada and San Bernardino Mountains of California, USA. , 1998, Environmental pollution.

[35]  Michael D. Dettinger,et al.  CLIMATE AND WILDFIRE IN THE WESTERN UNITED STATES , 2003 .

[36]  R. Houghton,et al.  Changes in terrestrial carbon storage in the United States. 2: The role of fire and fire management , 2000 .

[37]  C. E. Van Wagner,et al.  Age-class distribution and the forest fire cycle , 1978 .

[38]  S. Running,et al.  Contribution of increasing CO2 and climate to carbon storage by ecosystems in the United States. , 2000, Science.

[39]  Michael Anderson A Prescription for Ecological Disaster , 1994 .

[40]  T. Swetnam,et al.  Mesoscale Disturbance and Ecological Response to Decadal Climatic Variability in the American Southwest , 1998 .

[41]  J. Randerson,et al.  Trends in North American net primary productivity derived from satellite observations, 1982–1998 , 2002 .

[42]  John M. Norman,et al.  Carbon distribution and aboveground net primary production in aspen, jack pine, and black spruce stands in Saskatchewan and Manitoba, Canada , 1997 .

[43]  W. B. Smith,et al.  Forest inventory and analysis: a national inventory and monitoring program. , 2002, Environmental pollution.

[44]  C. Woodcock,et al.  Forest biomass estimation over regional scales using multisource data , 2004 .

[45]  Zhiliang Zhu,et al.  US forest types and predicted percent forest cover from AVHRR data , 1994 .

[46]  R. DeFries,et al.  Detecting Long-term Global Forest Change Using Continuous Fields of Tree-Cover Maps from 8-km Advanced Very High Resolution Radiometer (AVHRR) Data for the Years 1982–99 , 2004, Ecosystems.

[47]  K. Price,et al.  Regional vegetation die-off in response to global-change-type drought. , 2005, Proceedings of the National Academy of Sciences of the United States of America.

[48]  S. Running,et al.  Carbon sequestration studied in western U.S. mountains , 2002 .

[49]  B. Law,et al.  An improved analysis of forest carbon dynamics using data assimilation , 2005 .

[50]  J. Baron,et al.  RESPONSES OF ENGELMANN SPRUCE FORESTS TO NITROGEN FERTILIZATION IN THE COLORADO ROCKY MOUNTAINS , 2003 .

[51]  Margaret M. Moore,et al.  Southwestern Ponderosa Forest Structure: Changes Since Euro-American Settlement , 1994 .

[52]  R. Monson,et al.  Carbon sequestration in a high‐elevation, subalpine forest , 2001 .

[53]  Jesse A. Logan,et al.  Changing temperatures influence suitability for modeled mountain pine beetle (Dendroctonus ponderosae) outbreaks in the western United States , 2006 .

[54]  M. G. Ryan,et al.  Carbon Storage on Landscapes with Stand-replacing Fires , 2006 .

[55]  M. Keller,et al.  Selective Logging in the Brazilian Amazon , 2005, Science.

[56]  Rick L. Lawrence,et al.  Land use and land cover change in the greater yellowstone ecosystem: 1975-1995 , 2003 .

[57]  C. Potter,et al.  Large-scale impoverishment of Amazonian forests by logging and fire , 1999, Nature.

[58]  Benjamin Smith,et al.  Simulating past and future dynamics of natural ecosystems in the United States , 2003 .

[59]  E. Johnson,et al.  The Relative Importance of Fuels and Weather on Fire Behavior in Subalpine Forests , 1995 .