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Productivity indexes, land

Weeds influence the net productivity of forest sites. Foresters rate land productivity in terms of site quality, typically measured by the height reached by trees at a specified age. For example, if trees reach 27 m (90 feet) at 50 years, the site index is described as SI50 = 27 m. With an increased site index, the economic productivity and value of forest land increase disproportionately because the yield increases. The time required to reach maximum yield decreases and trees become more cylindrical, hence more efficiently utilized. [Pg.230]

A correlation was established between experimental yield data (ODT/ac-yr) and land classes on which the data were generated (a linear relation was used, which had a correlation coefficient >0.75). Land of Class III was assumed to have an index of 1, thereby allowing the productivity of land of other classes to be estimated on the basis of relative productivity indexes. These productivity indexes were used to weight the experimental yield data from the literature to account for the difference in land productivity between the land considered in the analysis of specific sites and the land on which the experimental data were generated. This approach is somewhat similar to the approach used by Marshall and Tsang (22) to relate the relative value of the yields expected from land of various classes submitted to comparable cultural practices, to land classes. The method proposed here to estimate yields at a given site on the basis of yields measured at experimental sites should be refined as more data become available. [Pg.506]

Doi R, Sakurai K (2004) Principal components derived from soil physicochemical data explained a land degradation gradient, and suggested the applicability of new indexes for estimation of soil productivity in the Sakaerat Environmental Research Station, Thailand. Int J Sustain Dev World Ecol... [Pg.340]

Emissions to land total waste volume rose from 3300 tonnes in 1996 to 3600 tonnes in 1997, then fell to 3300 tonnes in 1998. There is a target to reduce the waste index from 9 to 8 by 2001 (it is assumed that the waste index is the ratio of waste to production expressed as a percentage). [Pg.215]

Emissions to land global waste generation is reported in the CER as an index calculated as the ratio of waste per unit of production to the figure in 1992. By 1995 this index had fallen to 87%, with further reductions to 67% in 1998. The absolute waste generation figures given in the internet report increased 3% to approximately 400 000 tons between 1992 and 1998. Hazardous waste this fell 5% to approximately 110000 tons between 1992 and 1998. [Pg.295]

SPI is the only index that specifically accounts for local conditions, such as the density of population, mode of energy generation, as well as ecological and climatic conditions responsible for the dissipation of manmade effluents. SPI includes the social dimension through the number of employees and the area of land required to accommodate the employees in a specific location of the production facilities. [Pg.22]

AL Oil Gas Board of Alabama 4173 Commanders Drive Mobile, AL 36615-1421 (251) 438-4848 AAC 400-1 Rules and Regulations of the State Oil and Gas Board of Alabama Governing Onshore Lands Operations 400-1-2. Permitting of Wells 400-1-3. Notification and Approval of Activities 400-1-4. Drilling 400-1-6. Production Find them here www.ogb.state. al.us/documents/misc ogb/ goldbook.pdf www.gsa.state.al.us/ ogb/forms. aspx www.gsa.state.al.us/ index.html... [Pg.565]

Since the mid-2000 s, several groups have addressed the problem of quantif5dng Q. For example, Eissen and Metzger [28] developed the Environmental Assessment Tool for Organic Syntheses (EATOS) software in which metrics related to health hazards and persistence and bioaccumulation and ecotoxicity were used to determine the environmental index of the input (substrates, solvents, etc.) and the output (product and waste). Similarly, Saling and coworkers at BASE [29-31] introduced eco-efficiency analyses, which took both economic and environmental aspects into account, including energy, raw materials, emissions, toxicity, hazards, and land use. [Pg.5]

The correlation of the FI with continuous cropland demonstrated, for the first time, a possible link between land cover, DOM character, and aromaticity. The BIX index, originally developed to compare peaks M and C in marine and estuarine environments, was applied to a terrestrial environment and was shown to correlate with total dissolved nitrogen. This is likely to be a co-relationship, with increased microbial productivity leading to increased fluorescence in the peak M and peak T regions, increasing the value of this index due to eutrophication. [Pg.326]


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See also in sourсe #XX -- [ Pg.506 ]




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