6 edition of Estimating total forest biomass in New York, 1993 found in the catalog.
Estimating total forest biomass in New York, 1993
Eric H. Wharton
1997 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|
In Zhejiang province, evergreen broad-leaved forest covers roughly , ha, with an average total biomass (aboveground and belowground biomass) of Mg ha −1. If we assume that the below ground biomass is equal to % of aboveground biomass , then our measurements correspond to total biomass of Mg ha − by: Both biomass and necromass were expressed as dry matter per square meter of ground area per soil depth interval and as soil profile total (unit: g m −2). For estimating the fine root mass in the lower profile (below 40 cm soil depth), the exponential root distribution model introduced by Gale and Grigal was applied to the fine root density in Cited by: biomass equations for regional fire-fuels managers. Using bibliographies of relevant papers and literature search engines, we added new equations to the database from literature up to May The database now contains equations which are available for regional management purposes. Those which estimate total biomass in the United States. Loss of Species Is Worse Than Thought in Brazil's Amazon. By William K 6 percent of the Brazilian forest. But the total area of biological disturbance, with the edge areas and islands included Author: William K. Stevens.
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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.
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 5/5(1). Methods for estimating aboveground biomass of forest and replacement vegetation in the tropics Richard Condit Center for Tropical Forest Science and ForestGeo Smithsonian Tropical Research Institute August Please cite as: Condit, R.
Methods for estimating aboveground biomass of forest and replacementFile Size: 2MB. 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. Total above-ground production in the fringeforest from July through June was about 3times higher than dwarf forest production, Mgha-1yr-1 vs Mgha-1yr-1, respectively.
Furthermore, when compared to the dwarf forest, fringeproduction rates were approximately eight, six, six,and two times as high as dwarf forest rates Cited by: On the basis of forest inventory data for three inventory periods of –, –, and –, and synchronous NDVI (Normalized Difference Vegetation Index) data, we developed a satellite-based approach for estimating China's forest total biomass C stocks.
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: the total bole biomass volume is nearly a constant for all components.
If a bole wood only profile equation is reconciled with a biomass system of a similar species, the ratios between total bole volume from the profile equation to total bole volume from the biomass system and biomass component volumes to total biomass bole volume should hold.
What is forest-based biomass energy and why should we care. Written by environmental expert Frank Spellman, Forest-Based Biomass Energy: Concepts and Applications details how forest biomass can be converted to energy and energy products, including direct combustion, pellets, gasification, and co-firing.
It explores the possibilities of forest-based biomass energy for Cited by: A conventional method to estimate forest carbon uptake is through estimations of aboveground net primary productivity (ANPP): the sum of aboveground biomass increment and litterfall production (PotterClark et al ).Cited by: A review of the challenges and opportunities in estimating above ground forest biomass using tree-level models Temesgen, H., Affleck, D., Poudel, K., Gray, A., & Sessions, J.
A review of the challenges and opportunities in estimating above ground forest biomass. Extended Data Table 3: Comparison of the difference between potential and actual biomass stocks to components of the global carbon balance, including LUC emissions and net terrestrial biosphere figures refer to results of this study, all others represent independent estimates.
The difference in biomass stock of PgC () is well in line with estimates of total Cited by: The biomass is the mass of living biological organisms in a given area or ecosystem at a given time.
Biomass can refer to species biomass, which is the mass of one or more species, or to community biomass, which is the mass of all species in the can include microorganisms, plants or animals. The mass can be expressed as the average mass per unit area, or as the total.
For spiders of temperate zones in North America, there are equations for fresh and dry mass from a large sample of different species (Edwards & Gabriel ); for Europe (Central Europe, Palearctic) there are only few general equations for (dry) mass from body length from Breymeyer ( 3 lycosid species); Clausen ( 8 species from Denmark); .Estimation of net above ground biomass in forest ecosystems by non-destructive means requires the development of allometric equations, to allow prediction of above ground biomass from readily measurable variables such as Diameter at Breast Height (DBH).
Equations of this type have not been well developed for trees of Wof-Washa Forest. In the present study, trees .One of the most important databases needed for estimating emissions of carbon dioxide resulting from changes in the cover, use, and management of tropical forests is the total quantity of biomass per unit area, referred to as biomass density.
Forest inventories have been shown to be valuable sources of data for estimating biomass density, but Cited by: