5 edition of Estimating total forest biomass in Maine, 1995 found in the catalog.
Estimating total forest biomass in Maine, 1995
by U.S. Dept. of Agriculture, Forest Service, Northeastern Research Station, [distributed by] USDA Forest Service Publications Distribution in Radnor, Pa. (5 Radnor Corp. Ctr., Suite 200, Radnor 19087-4585), Delaware, OH
Written in English
|Statement||Eric H. Wharton, Douglas M. Griffith.|
|Series||Resource bulletin NE -- 142.|
|Contributions||Griffith, Douglas M., United States. Forest Service. Northeastern Research Station.|
|The Physical Object|
|Number of Pages||50|
This is the background to the "primer" for estimating biomass and biomass change of tropical forests. It focuses on tropical forests whose high potential biomass gives any changes taking place in them a particular significance and it is concerned with one important component of the total biomass, namely above-ground woody biomass in trees with. As estimated by Forest Survey of India, the total forest cover and growing stock in the country in –93 were Mha and million m 3, forest area, estimated growing stock volume density and total standing biomass density under three crown density classes (D1,D2,D3) including all four forest types (hardwood, spruce-fir, pine and bamboo) for all study states and Cited by:
Iverson L, Brown S, Prasad A, Mitasova H, Gillespie A J R and Lugo A E Use of GIS for estimating potential and actual forest biomass for continental South and Southeast Asia Effects of Land-Use Change on Atmospheric CO 2 Concentrations: South and Southeast Asia as a Case Study ed V Dale (New York: Springer) pp Crossref Google ScholarCited by: ESTIMATING REGIONAL SUPPLY AND DELIVERED COST OF FOREST AND WOOD PROCESSING BIOMASS AVAILABLE FOR BIOENERGY A thesis submitted in partial fulfilment of the requirements for the Degree of Master of Forestry Science in the University of Canterbury by Kimberly Robertson _____ University of Canterbury
The validation results showed a strong correlation (R 2 = ) between C-MLR-estimated natural forest biomass and field-based biomass, with RMSE = Mg/ha in deciduous forests. In high-biomass regions, such as dense evergreen forests, this model had a weaker correlation because of the high biomass and the multiple-story tree structure of Cited by: Information on above-ground biomass (AGB) is important for managing forest resource use at local levels, land management planning at regional levels, and carbon emissions reporting at national and international levels. In many tropical developing countries, this information may be unreliable or at a scale too coarse for use at local levels. There is a vital need to provide estimates of AGB Cited by: 8.
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Get this from a library. Estimating total forest biomass in Maine, [Eric H Wharton; Douglas M Griffith; United States. Department of Agriculture.; Northeastern Forest Experiment Station (Radnor, Pa.)].
Tables of appropriate regression equations and the tree and shrub species to which these equations can be applied are presented as well as biomass estimates at the county and state level.
Citation: Wharton, Eric H.; Griffith, Douglas M. Estimating total forest biomass in Maine, Cited by: 9. The inventory of Maines forest lands included estimates of total forest biomass based on an evaluation of available biomass-estimation techniques found in the literature.
When applied to the forest resource inventory of Maine these regression equations yielded an estimate of more than milliondry tons of biomass on timberland and nearly milliondry tons of biomass on all forest land.
Get this from a library. Estimating total forest biomass in Maine, [Eric H Wharton; Douglas M Griffith; United States. Forest Service. Northeastern Research Station.]. aboveground biomass in Maine with an average of green tons per timberland acre. Most of the biomass was in the merchantable stems of growing stock trees (51%), tops and branches (23%), and saplings (15%).
The second major publication and estimate of biomass for the state, Estimating Total Forest Biomass in Maine,was devel. Estimating total forest biomass in Maine, / By Eric H.
Wharton, Douglas M. Griffith and Pa.) Northeastern Forest Experiment Station (Radnor. Abstract "July "--title page es bibliographical references (pages ).Mode of access: Internet. Estimating total forest biomass in New York, Resour.
Bull. NE Radnor, PA: U.S. Department of Agriculture, Forest Service, Northeastern Forest Experiment Station. 48 p. Presents methods for synthesizing information from existing biomass literature for estimating biomass over extensive forest areas, with specific applications to New York.
Title: Estimating Biomass and Biomass Change of Tropical Forests: A Primer A forest resources assessment publication Volume of FAO forestry paper, Food and Agriculture Organization, ISSN Volume of FAO forestry paper: Food and Agriculture Organization5/5(1).
The forest has a density of trees ha-1, a total volume of m3 ha-1 and a total concentration of biomass of Mg ha Regarding carbon, a total of Mg ha-1 was estimated. Forest plays a special role in carbon sequestration and thus mitigating climate change.
However, the large uncertainty in biomass estimation is unable to meet the requirement of the accurate carbon accounting. The use of a suitable and rigor method to accurately estimate forest biomass is significant. Moreover, the world is increasingly facing the conflicting pressures of economic growth and Cited by: 3.
Our results generally proved that the method proposed in this study could be meaningful for forest total biomass estimation (R2 =RMSE = ). Discover the world's research 16+ million.
NED. By using location, biomass, and structure from the USDA Forest Inventory and Analysis plots over the state of Maine, we developed separate algorithms for evergreen, deciduous, and mixed forests, to estimate forest height and biomass from fusion of SRTM‐NED and Landsat data.
The methodologies used for the state of Maine can also be. Larger trees are therefore over-represented in the equations of this paper. This is not a drawback if one's objective is to estimate total forest biomass, since large trees contain a disproportionate share of the biomass in most forests.
Bias of the logarithmic transform. Two forms of bias by: Following is a short list of important papers covering methods for estimating forest biomass from tree inventory. The most recent papers (Chave et al. Gibbs et al. ) review prior methods and offer an excellent understanding of the best methods now available.
Brown, S., and A.E. Lugo. File Size: 2MB. Accordingly, modelers have developed improved methods for estimating biomass of component parts as well as total biomass of trees.
A desirable feature (termed additivity) of tree biomass component regression equations is that the predictions for the components sum to the prediction for total tree : Harold E.
Burkhart, Margarida Tomé. Assessment and monitoring of forest biomass are frequently done with allometric functions per species for inventory plots.
The estimation per area unit is carried out with an extrapolation method. In this chapter, a review of the recent methods to estimate forest above‐ground biomass (AGB) using remote sensing data is presented.
A case study is given with an innovative methodology to Cited by: 3. • proportion of forest cleared that was mature or wood product, to estimate total biomass removed and total biomass left to decay on site; and • methods to calculate a continental biomass stock.
In most cases the missing information is related to Woody Biomass: Methods for Estimating Change. The estimation of the weight of vegetation in the forest is a time consuming operation.
Most often this work is completed in remote locations so that efficient methods need to be employed. Two distinctly separate situations can be by: Towards a functional and simpliﬁed allometry for estimating forest biomass Roberto Pilli*, Tommaso Anfodillo, Marco Carrer This would suggest that total forest aboveground biomass can be estimated by using functional allometry (i.e., universal b parameters), ( Search the world's most comprehensive index of full-text books.
My library. Estimating forest above‐ground biomass (AGB), or carbon (AGC), in tropical forests has become a major concern for scientists and stakeholders.
However, AGB assessment procedures are not fully standardized and even more importantly, the uncertainty associated with AGB estimates is Cited by: Abstract: The main objective of this paper is to present and discuss the best methods to estimate live above ground biomass in the Atlantic Forest.
The methods presented and conclusions are the products of a workshop entitled “Estimation of Biomass and Carbon Stocks: the Case of Atlantic Rain Forest”.Biomass and Biofuels in Maine examines the renewable energy potential of Maine’s forest resources, and how much energy these resources could potentially provide the State.
Specifically, the objective is to calculate the quantity of forest residues likely available on a sustainable basis annually for the replacement of transportation fuels. In.