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The biodiversity-ecosystem functioning relationship : separating the effects of species richness, from those of species identity and environmental heterogeneity in a tropical tree plantationHealy, Chrystal. January 2007 (has links)
No description available.
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An analysis of optimal farmland preservation modelsErnst, Steven. January 2007 (has links)
Thesis (M.S.)--University of Delaware, 2007. / Principal faculty advisor: Joshua M. Duke, Dept. of Food & Resource Economics. Includes bibliographical references.
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The influence of net real estate income and other property characteristics on prices of agricultural properties within and among selected areas of Oregon, 1965-69Crowley, William D. 09 August 1971 (has links)
Concern over the apparent disparity between the farm use value
and current market value of property in agricultural areas continues
to remain a source of concern in many areas. This concern has
intensified in recent years, particularly in those agricultural areas
situated near urban centers and recreational areas.
The main thrust of the study was directed toward determining the
relationship between net real estate income per acre and sale price
pier acres of properties in selected agricultural areas of Oregon.
Three areas, ostensibly called agricultural areas, were selected for
analysis. The areas, as classified, included a basic agricultural
production area (dry land grain area in northcentral Oregon), an urban-recreation
influenced area (Douglas County in southwestern Oregon
bordered by the Pacific Ocean on the west and the Umpqua National
Forest on the east) and an urban influenced area (Marion County in the
populous and productive Willamette Valley in northwestern Oregon).
In addition to determining the influence of net real estate income
on property prices, the influence of other property characteristics on
property prices was analyzed in each area. The other property
characteristics included: year of sale, number of acres in sale,
assessed value of buildings per acre, miles to nearest paved road,
and miles to nearest town of at least 1,000 population.
Simple and multiple linear regression models were used to
analyze the influence of particular property characteristics on sale
price per acre. The same six-variable model was used in each area
to test whether partial regression coefficient values on corresponding
variables differed significantly among areas. Overlapping of 95 percent
confidence intervals around corresponding partial regression
coefficient values among areas was observed for all independent
variables except net real estate income per acre. The income
variable was an important determinant of sale price per acre only
for grain area and Douglas County sales. However, the partial
regression coefficient value of 49.71 in urban-recreation influenced
Douglas County implies an approximate 2.0 percent capitalization
rate compared to a coefficient value of 17.11 and a 5.8 percent
implied capitalization rate in the grain area.
Year of sale was an important influence on sale price per acre in
areas influenced more strongly by nonagricultural influences, i.e.,
Douglas and Marion Counties, as evidenced both by the level of significance
of the coefficient value and the value of the coefficient in each
of these areas. The annual rate of property price appreciation at the
mean was 14.3 percent in urban-recreation influenced Douglas County
and 12.1 percent in urban influenced Marion County. While not significantly
different from zero, the rate of price change was slightly
negative in the grain area.
Conclusions from the study were (1) that there is a significant
difference in the influence of net real estate income and other property
characteristics on prices of properties among selected agricultural
areas of Oregon, (2) that the nature and degree of relationship between
prices oi property sales analyzed and property characteristics of these
sales varied considerably within each agricultural area selected for
analysis, but especially in the urban-recreation and urban influenced
areas, and (3) that in spite of relatively low mean rates of return in all
three areas studied, a disparity between the farm use value and current
market value of land was found to exist only in urban-recreation
influenced Douglas County.
Implication of these results are that variously influenced agricultural
areas do exist, and that motives for and sources of satisfaction
from ownership of property in agricultural areas vary within and among areas. / Graduation date: 1972
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A study of visitation at living history farms and agricultural museumsButler, Melissa. January 2006 (has links)
Thesis (M.S.)--University of Delaware, 2006. / Principal faculty advisor: James E. Swasey, Dept. of Plant & Soil Sciences. Includes bibliographical references.
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Rieselfelder KairoTalbant-Kaiser, Tanta/Aegypten 24 July 2001 (has links) (PDF)
No description available.
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Taiwan nong chan mian ji yu ren li li yongLin, Jinhuang. January 1900 (has links)
Thesis (M.A.)--Taiwan sheng li zhong xing da xue si li Zhongge di zheng yan jiu suo. / Cover title. Mimeo, copy. Includes bibliographical references.
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Prozess der Transformation der Landwirtschaft Usbekistans und Probleme bei der Umstrukturierung der landwirtschaftlichen BetriebeNazarkulov, Umidjan. January 2002 (has links) (PDF)
Disputats. Universität Hohenheim, 2002. / Haves kun i elektronisk udg.
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Development of a technological package for sustainable use of Dambos by small-scale farmersDaka, Angel Elias. January 2001 (has links)
Thesis (Ph. D. (Plant Production))--University of Pretoria, 2001. / Adobe Acrobat Reader needed to open files.
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Overcoming transaction costs barriers to market participation of smallholder farmers in the Northern Province of South AfricaMakhura, Moraka Thomas. January 2001 (has links)
Thesis (Ph. D.)--University of Pretoria, 2001. / "June 2001." Includes bibliographical references (p. 164-181). Adobe Acrobat Reader needed to open files.
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Savior of the family farm? : the role of community supported agriculture for farm sustainability in CaliforniaStephens, Michelle, active 2009 21 November 2013 (has links)
This report analyzes the success factors of small farms, as defined by the amount of acreage in farming, the market value of agricultural products sold, and the number of small farms, in rural California Counties. These data are then compared with the location of Community Supported Agriculture (CSA) programs in the study counties and examined to see if there are greater successes in the counties with higher CSA involvement. While CSAs are more abundant in successful agriculture counties, these programs are not responsible for all successes and are rather one component in a larger consumer movement toward sustainable agriculture and local food options. / text
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