4 edition of Estimating total forest biomass in New York, 1993 found in the catalog.
Estimating total forest biomass in New York, 1993
by U.S. Dept. of Agriculture, Forest Service, Northeastern Forest Experiment 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, Carol L. Alerich, David A. Drake.|
|Series||Resource bulletin NE -- 139.|
|Contributions||Alerich, Carol L., Drake, David A., Northeastern Forest Experiment Station (Radnor, Pa.)|
|The Physical Object|
|Number of Pages||48|
Models to assist management of lowland forests in Tanzania are in most cases lacking. Using a sample of 60 trees which were destructively harvested from both dry and wet lowland forests of Dindili in Morogoro Region (30 trees) and Rondo in Lindi Region (30 trees), respectively, this study developed site specific and general models for estimating total tree volume and aboveground by: The average understory aboveground carbon density was estimated to be Mg ha −1, for a total estimate of Tg carbon across all managed forest land in the US (approximately 2% of the total aboveground live tree carbon pool). This estimate is more than twice as low as previous FIA modeled estimates that did not rely on understory Cited by: 3.
Search the world's most comprehensive index of full-text books. My library. 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.
equations and used to estimate branch biomass and aboveground biomass. The resultant aboveground biomass density matches well with the data from Forest Inventory and Analysis program at both state and pixel levels. Citation: Zhang, X., and S. Kondragunta (), Estimating forest biomass in the USA using generalized allometric models. 1) No data existed for estimating the balance of increment, losses and fellings within tropical forests. 2) Refers to balance of increment, losses and fellings in industrialized countries as reported in UNECE/FAO (); changes within other non-tropical forests are not known. Figure Volume and biomass for countries with largest forest area. The overall change estimates .
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Get this from a library. Estimating total forest biomass in New York, [Eric H Wharton; Carol L Alerich; David A Drake; United States. Department of Agriculture.; Northeastern Forest Experiment Station (Radnor, Pa.)].
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. Get this from a library. Estimating total forest biomass in New York, [Eric H Wharton; Carol L Alerich; David A Drake; Northeastern Forest Experiment Station (Radnor, Pa.)].
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 Cited by: 3.
Total forest biomass for nine countries was estimated to be Pg (1 Pg = 10 15 g), or an average potential biomass density (PBD) of Mg/ha. The potential forest biomass map was then masked with a map of forest locations forresulting in a map of the potential biomass density occurring on locations still in forest in Cited by: Estimation of forest biomass on the regional and global scale is of great importance.
Many studies have demonstrated that lidar is an accurate tool for estimating forest aboveground biomass.
However, results vary with forest types, terrain conditions and the quality of the lidar data. In this study, we investigated the utility of low density lidar data (estimating forest Cited by: and total aboveground biomass. We used these equations to estimate per-hectare aboveground biomass, nitrogen (N), and carbon (C) content, and compared these results to (1) estimates based on biomass equations published in other studies, and (2) estimates made using the mean-tree method rather than allometric by: 7.
Biomass Volume Estimation. The National Biomass Estimator Library (NBEL) was developed by the Forest Management Service Center (FMSC) as a sister library to the National Volume Estimator Library (NVEL). Both open-source libraries provided a standard interface for the inclusion of volume and biomass models into cruising, planning, and stand exam software.
forest types in the country and cover million hectares (% of the total native forest). The genus Nothofagus has ten species that have a high economic value because of.
The best-ﬁt equations for total aboveground biomass that were based on combinations of diameter at breast height, and total and commercial height as independent variables had R2 values between and Models recommended for estimating total aboveground biomass.
Since stem volume (x) in ts the influence of forest age, site class, stand density, and other biotic and abiotic factors on forest biomass, it can be used to calculate forest biomass, based on the corresponding area and volume in forest inventory data, even without information of forest age, site class, or any others (Fang et al., a, Fang et al., b).Cited by: Branchwood biomass was estimated as a part of a complete project in estimating the total biomass of a tropical hill forest stand.
Thirty sample trees were felled. Tree biomass values were regressed with all the measurable parameters and their transformations. A logarithmic transformation with branch-form quotient gave the best-fit by: 3.
Introduction. Fine and coarse roots are major contributors to the total biomass pools of forest and woodland ecosystems, and play critical roles in the cycling and allocation of carbon (C) and nutrients (Clark et al.,Brunner and Godbold,Malhi et al.,Smyth et al.,Raich et al., ).A significant fraction of C assimilated by plants through photosynthesis is Cited by: The LAMP method found that the standing total AGB was t/ha at a 95% confidence level and the field based Forest Resource Assessment (FRA) Nepal field plot AGB estimate was /ha.
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: biomass on forest land in the Pacific Northwest: a comparison of approaches.
Res. Pap. PNW-RP Portland, OR: U.S. Department of Agriculture, Forest Service, Pacific Northwest Research Station. 18 p. Live tree biomass estimates are essential for carbon accounting, bioenergy feasi-bility studies, and other by: 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: Estimating forest biomass by remote sensing radar data in Brazil Quegan S.
: A uni ed algorithm for phase and cross-talk calibration of polarimetric data – theory and observations. For this species, the foliage biomass represented more than 10% of the total biomass, whereas for black pine and Holm oak, the foliage biomass represented only % and % of the total biomass.
Conclusions. This study has shown that LiDAR data can estimate biomass fractions and carbon content in a mixed species Mediterranean by: Biomass estimation in the Tapajos National Forest, Brazil Trees with diameters greater than 35cm DBH accounted for about half of the total biomass.
This estimate. Growing stock-based forest biomass estimate for India Article (PDF Available) in Biomass and Bioenergy 22(3) March with 1, Reads How we measure 'reads'.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 Cited by: By comparison, summaries for the region, based upon various sources including USDA Forest Service Forest Inventory and Analysis (Lichstein et al.
) suggest an intermediate pattern, with forest biomass in northern hardwoods reaching an asymptote at years, at maximum values 30% lower than projected.