160 resultados para acreage
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pt. 1. Oil and gas developments. Introduction -- Production and economics -- Drilling and development -- Productive acreage -- Estimated petroleum reserves -- Gas and gas products -- Underground gas storage -- pt. 2. Waterflood operations. Introduction -- Summary -- Project numbers, by county -- Illinois waterfloods operating during 1959 -- Illinois pressure maintenance projects using water injection during 1959 -- Illinois waterflood projects reported abandoned.
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pt. 1. Oil and gas developments. Introduction -- Production and value -- Drilling and development -- Productive acreage -- Estimated petroleum reserves -- Gas and gas products -- Underground gas storage -- County reports -- pt. 2. Waterflood operations. Introduction -- Summary of results -- Project numbers, by county -- Illinois waterflood projects operating during 1957 -- Illinois waterflood projects reported abandoned -- Illinois pressure maintenance projects using water injection during 1957.
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v. 7 cataloged separately.
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Report year ends June 30.
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Crop reports, relating to acreage, yield per acre, condition, progress, etc.: imports and exports of various farm products; statistics of farm animals and other agricultural interests in theUnited States and foreign countries; freight rates of transportation companies, etc., etc.
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Mode of access: Internet.
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The purpose of this thesis is to consider the factors that impact decision making in city park settings, with specific emphasis given to wildlife. Additionally, professional bias was considered as a possible response determinant. Studies connecting perceptions of wildlife and Illinois park managers have been rare or nonexistent, but offer the potential for the improvement of management strategies and recreational opportunities. Data was collected using mixed methods. City recreation practitioners statewide were invited to complete a self-administered questionnaire considering wildlife as a decision-making factor in land acquisition or restoration decisions. A small follow-up sample of park managers was interviewed via telephone for further explanation of their response. Analysis of responses from questionnaires and interviews suggested that wildlife habitat is a factor in land use decision making, but is not considered one of the highest importance. Respondents identified that nuisance wildlife, access to wildlife, and public value of wildlife were also factors in decision making. Factors associated with a high-ranking of the importance of wildlife were agencies with a high number of natural area acres, a high number of overall park acreage, personnel devoted to natural area management, the presence of hiking trails, and cities with a large population. Professional bias of recreation managers was suggested via anecdotal interview data, but could not be empirically connected with wildlife-related decision-making processes, as no managers identified themselves as having completed formal wildlife-related training. As a result, management implications include separate training for both practitioners and public. This study broadens the understanding of wildlife management in city park settings, and reaffirms that further understanding of public and pracitioner values of wildlife will lead to improved land use decisions and recreationally valuable experiences.
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A maior parte da energia hoje consumida no mundo é derivada de fontes como petróleo, carvão e gás natural. Essas fontes, no entanto, não são renováveis e podem se esgotar em data futura. Nas últimas décadas, as fontes renováveis de combustíveis de base biológica, em especial o bioetanol, têm sido consideradas como alternativa à matriz energética convencional. Porém, existe a necessidade de ampliação da oferta de matérias-primas para produção de etanol, sem pressionar a área plantada para produção de alimentos, o que tem levado empresas e países a investirem em pesquisas para maior utilização de outras matériasprimas. As microalgas surgem como uma das alternativas mais promissoras para a produção de bioetanol, sendo que modificações nas condições de cultivo podem propiciar incremento na concentração de carboidratos destas. Neste contexto, o objetivo deste trabalho foi avaliar a influência da concentração de nutrientes na concentração de carboidratos de microalgas e produzir bioetanol a partir destas. Avaliou-se a síntese de carboidratos das microalgas Chlorella homosphaera e Spirulina platensis LEB 52 em cultivos mixotróficos com diferentes concentrações do componente nitrogenado e cloreto de sódio adicionados aos meios de cultivo. Para a microalga Chlorella minutissima, foram avaliados os efeitos do meio de cultivo e das concentrações dos componentes nitrogenado e fosfatados utilizados no meio de cultivo da microalga sobre a concentração de carboidratos desta. Foram realizadas fermentações alcoólicas utilizando como substrato biomassa das microalgas Chlorella pyrenoidosa e Spirulina sp. LEB 18 acrescidos de glicose e sacarose. Para a microalga Chlorella homosphaera, a maior produtividade em carboidratos foi obtida nos ensaios realizados com a maior concentração de KNO3 com menor concentração de NaCl e menor concentração de KNO3 com maior concentração de NaCl (0,014±0,001 g.L-1 .d-1 e 0,015±0,002 g.L-1 .d-1 , respectivamente). A maior produtividade em carboidratos nos cultivos de Spirulina platensis LEB 52 (0,116±0,002 g.L-1 .d-1 ) foi verificada no experimento no qual a microalga foi cultivada nas menores concentrações de NaNO3 e NaCl. A microalga Spirulina platensis LEB 52 apresentou maior produtividade em carboidratos quando comparada à microalga Chlorella homosphaera. A microalga Chlorella minutissima cultivada em meio Basal, com adição de 0,125 g.L-1 do componente nitrogenado (KNO3) e sem adição dos componentes fosfatados (K2HPO4 e KH2PO4) apresentou a maior produtividade em carboidratos nos cultivos (0,030±0,002 g.L-1 .d-1 ). O ensaio com biomassa de Spirulina sp. LEB 18 com adição de glicose apresentou eficiência superior na formação de etanol e produtividade em etanol (68,487±2,592% e 1,182±0,051g.L-1 .h-1 , respectivamente).
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Nonpoint sources (NPS) pollution from agriculture is the leading source of water quality impairment in U.S. rivers and streams, and a major contributor to lakes, wetlands, estuaries and coastal waters (U.S. EPA 2016). Using data from a survey of farmers in Maryland, this dissertation examines the effects of a cost sharing policy designed to encourage adoption of conservation practices that reduce NPS pollution in the Chesapeake Bay watershed. This watershed is the site of the largest Total Maximum Daily Load (TMDL) implemented to date, making it an important setting in the U.S. for water quality policy. I study two main questions related to the reduction of NPS pollution from agriculture. First, I examine the issue of additionality of cost sharing payments by estimating the direct effect of cover crop cost sharing on the acres of cover crops, and the indirect effect of cover crop cost sharing on the acres of two other practices: conservation tillage and contour/strip cropping. A two-stage simultaneous equation approach is used to correct for voluntary self-selection into cost sharing programs and account for substitution effects among conservation practices. Quasi-random Halton sequences are employed to solve the system of equations for conservation practice acreage and to minimize the computational burden involved. By considering patterns of agronomic complementarity or substitution among conservation practices (Blum et al., 1997; USDA SARE, 2012), this analysis estimates water quality impacts of the crowding-in or crowding-out of private investment in conservation due to public incentive payments. Second, I connect the econometric behavioral results with model parameters from the EPA’s Chesapeake Bay Program to conduct a policy simulation on water quality effects. I expand the econometric model to also consider the potential loss of vegetative cover due to cropland incentive payments, or slippage (Lichtenberg and Smith-Ramirez, 2011). Econometric results are linked with the Chesapeake Bay Program watershed model to estimate the change in abatement levels and costs for nitrogen, phosphorus and sediment under various behavioral scenarios. Finally, I use inverse sampling weights to derive statewide abatement quantities and costs for each of these pollutants, comparing these with TMDL targets for agriculture in Maryland.