Forest inventories: discrepancies and uncertainties.

Credits for sequestered carbon augment forests’ already considerable value as natural habitat and as producers of timber and biomass, making their accurate inventory more critical than ever before. This article examines discrepancies in inventories of forest attributes and their sources in four variables: area, timber volume per area, biomass per timber volume, and carbon concentration. Documented discrepancies range up to a multibillion-ton difference in the global stock of carbon in trees. Because the variables are multiplied together to estimate an attribute like carbon stock, more precise measurement of the most certain variable improves accuracy little, and a 10 percent error in biomass per timber levers a discrepancy as much as a mistake in millions of hectares. More precise measurements of, say, accessible stands cannot remedy inaccuracies from biased sampling of regional forests. The discrepancies and uncertainties documented here underscore the obligation to improve monitoring of global forests.

[1]  Ranga B. Myneni,et al.  Remote sensing estimates of boreal and temperate forest woody biomass: carbon pools, sources, and sinks , 2003 .

[2]  R. K. Dixon,et al.  Carbon Pools and Flux of Global Forest Ecosystems , 1994, Science.

[3]  P. Kokkonen,et al.  [Resources in the future]. , 2001, Duodecim; laaketieteellinen aikakauskirja.

[4]  Kenneth L. Denman Canada Couplings between changes in the climate system and biogeochemistry , 2008 .

[5]  Alan Grainger,et al.  The Bigger Picture – Tropical Forest Change in Context, Concept and Practice , 2009 .

[6]  J. Heikkinen,et al.  Estimating areal means and variances of forest attributes using the k-Nearest Neighbors technique and satellite imagery , 2007 .

[7]  Grassi Giacomo,et al.  Reducing Greenhouse Gas Emissions from Deforestation and Degradation in Developing Countries: a Sourcebook of Methods and Procedures for Monitoring, Measuring and Reporting , 2009 .

[8]  Gherardo Chirici,et al.  Possibilities for harmonizing national forest inventory data for use in forest biodiversity assessments , 2008 .

[9]  Using the Forest Identity to Grasp and Comprehend the Swelling Mass of Forest Statistics , 2008 .

[10]  Pekka E. Kauppi,et al.  New, low estimate for carbon stock in global forest vegetation based on inventory data , 2003 .

[11]  William A. Bechtold,et al.  The enhanced forest inventory and analysis program - national sampling design and estimation procedures , 2005 .

[12]  Daniel B. Botkin,et al.  Biomass of the North American Boreal Forest A step toward accurate global measures , 1990 .

[13]  A. Mather,et al.  The course and drivers of the forest transition: The case of France , 1999 .

[14]  F. Freese,et al.  Elementary forest sampling. , 1962 .

[15]  Carol L. Alerich,et al.  The forest inventory and analysis database description and users manual version 1.0 , 2001 .

[16]  E. Næsset,et al.  Estimation of above- and below-ground biomass across regions of the boreal forest zone using airborne laser , 2008 .

[17]  L. A. Goodman On the Exact Variance of Products , 1960 .

[18]  S. Piao,et al.  Terrestrial vegetation carbon sinks in China, 1981–2000 , 2007 .

[19]  S. Nilsson,et al.  A synthesis of the impact of Russian forests on the global carbon budget for 1961–1998 , 2003 .

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

[21]  Sean C. Thomas,et al.  Increasing carbon storage in intact African tropical forests , 2009, Nature.

[22]  Sandra A. Brown Measuring carbon in forests: current status and future challenges. , 2002, Environmental pollution.

[23]  A. Prokushkin,et al.  Critical analysis of root : shoot ratios in terrestrial biomes , 2006 .

[24]  A. Belward,et al.  GLC2000: a new approach to global land cover mapping from Earth observation data , 2005 .

[25]  C. Peng,et al.  Changes in Forest Biomass Carbon Storage in China Between 1949 and 1998 , 2001, Science.

[26]  A. Grainger Difficulties in tracking the long-term global trend in tropical forest area , 2008, Proceedings of the National Academy of Sciences.

[27]  P. Waggoner,et al.  Quandaries of Forest Area, Volume, Biomass and Carbon Explored with the Forest Identity , 2007 .

[28]  Amtlicher Teil,et al.  Bundesministerium für Ernährung, Landwirtschaft und Verbraucherschutz , 2007, Bundesgesundheitsblatt - Gesundheitsforschung - Gesundheitsschutz.

[29]  A synthesis of the impact of Russian forests on the global carbon budget for 1961–1998 , 2003 .

[30]  Rattan Lal,et al.  Land Use, Land-Use Change and Forestry , 2015 .

[31]  A. Mather,et al.  Assessing the world's forests , 2005 .

[32]  L. Heath,et al.  Forest volume-to-biomass models and estimates of mass for live and standing dead trees of U.S. forests. , 2003 .

[33]  Jingyun Fang,et al.  Returning forests analyzed with the forest identity , 2006, Proceedings of the National Academy of Sciences.

[34]  S. Saatchi,et al.  Globalization and Forest Resurgence: Changes in Forest Cover in El Salvador , 2007 .

[35]  C. Perry,et al.  Forest Resources of the United States, 2007 , 2009 .

[36]  W. Kurz,et al.  Monitoring carbon stocks in the tropics and the remote sensing operational limitations: from local to regional projects. , 2009, Ecological applications : a publication of the Ecological Society of America.

[37]  M. Kalacska,et al.  Baseline assessment for environmental services payments from satellite imagery: a case study from Costa Rica and Mexico. , 2008, Journal of environmental management.

[38]  Vinay Kumar Dadhwal,et al.  Growing stock-based forest biomass estimate for India , 2002 .

[39]  N. H. Ravindranath,et al.  2006 IPCC Guidelines for National Greenhouse Gas Inventories , 2006 .

[40]  William D. Smith,et al.  Analyzing forest health data , 2004 .

[41]  P. Kauppi,et al.  Carbon reservoirs in peatlands and forests in the boreal regions of Finland. , 1997 .

[42]  F. Wagner,et al.  Good Practice Guidance for Land Use, Land-Use Change and Forestry , 2003 .

[43]  J. Townshend,et al.  Humid tropical forest clearing from 2000 to 2005 quantified by using multitemporal and multiresolution remotely sensed data , 2008, Proceedings of the National Academy of Sciences.

[44]  P. E. Schroeder,et al.  SPATIAL PATTERNS OF ABOVEGROUND PRODUCTION AND MORTALITY OF WOODY BIOMASS FOR EASTERN U.S. FORESTS , 1999 .

[45]  Michael Köhl,et al.  Harmonisation and Standardisation in Multi-National Environmental Statistics – Mission Impossible? , 2000 .

[46]  Richard A. Houghton,et al.  The spatial distribution of forest biomass in the Brazilian Amazon: a comparison of estimates , 2001 .