丹东市主要农产品生产基地环境质量调查与评价

通过对丹东市主要农产品生产基地作物生长期的主要环境质量要素及周围污染源分布情况进行同步调查监测，并采用国家现行环境质量评价标准对其环境质量水平给予全面评价，得出结论是被调查区域土壤、灌溉用水和环境空气质量均达到《国家有机食品基地考核管理规定》中对基地环境质量的要求。     

Modelling farm structural change for integrated ex-ante assessment: review of methods and determinants

This paper provides a literature review of methods and determinants relevant for modelling farm structural change within an integrated modelling chain. Environmental and economic impacts at farm level and individual farm responses to agricultural and agri-environmental policies strongly depend on characteristics like farm size, specialisation, and production intensity. Consequently, up-scaling results of corresponding farm type models in ex-ante assessment exercises requires comprehensive and valid predictions of the farm types’ future relevance under different scenarios. The paper reviews methods relevant to forecasting farm numbers in classes defined by farm typologies with the objective to identify (1) a preferable modelling approach and (2) empirically relevant determinants. Despite the literature's considerable size, even recent studies are rather limited in scope and typically restricted to a subset of farm types and one or very few regions. With regard to data availability, computational complexity and statistical validation procedures, Markov chain models are identified as the only generally suitable method for a broadly scoped modelling approach across European regions and a differentiated farm typology. However, other research on determinants of farm growth, the number of farm holders, farm succession as well as new multi-agent based simulation approaches hint at relevant explanatory variables previously not considered in Markov chain analyses. Their impact seems testable in more ambitious cross-regional and cross-farm type setups.     

Landholder Profiling and Typologies for Natural Resource–Management Policy and Program Support: Potential and Constraints

The use of landholder typologies to aid the development, implementation, and monitoring natural-resource management (NRM) policies and programs has increased considerably during the past decade. This article explores the potential for using such typologies for a variety of NRM and rural and regional development applications. Review of typology use further suggests that there is potential to refine the way that typologies are developed and applied to better aid NRM, farming systems analyses, and rural and regional development. Before typologies will be adopted more widely, a number of theoretical and methodologic issues must be addressed. These include the following questions: (1) Which criteria and methods should or can be used to classify landholders? (2) How should studies across spatial and temporal scales be integrated? (3) How should multiple and single industry studies be integrated to gain the most value from research? We argue that quantitative research techniques are well suited to provide an underlying structure for landholder typologies, and qualitative research techniques are useful for developing understanding of the nature of variation within and between landholder types. We argued further that because of the potential utility and breadth for the application of landholder typologies, a nested set of landholder typologies could be developed that are coordinated at the national, regional, and local geographic levels, with repeated measures used to track the evolution with time of landholder practices, management values, and socioeconomic characteristics.     

农贸市场噪声对其周围环境的影响

对某农贸市场的场内噪声,场界噪声及其周围居民区环境噪声进行了监测,结果表明,农贸市场营业时,噪声监测值内,场界及居民区均超标;农贸市场不营业时,场界除３个测点略超标外,余达标,居民区略超标。就农贸市场噪声对其周围环境的影响,提出了控制对策。     

Matching innovations with potential users, a case study of potato IPM practices

Through interviews and mail surveys, Ohio potato (Solanum tuberosum) growers were surveyed concerning their willingness to adopt three cultural controls being developed for management of the Colorado potato beetle, Leptinotarsa decemlineata (Say), which had become increasingly difficult to control. The principal objective of the research was to obtain a deeper understanding of how farmers make decisions to adopt or not adopt new techniques and how these decisions are related to farmers' educational backgrounds and the way they currently manage their farms. The three cultural management options emphasized ecological approaches to habitat management rather than ecologically disruptive chemical control: (1) using host plants in overwintering sites to slow the spring movement of the beetles to potato fields, (2) using larger potato plants at field borders than in the center of the field as a spring trap crop, and (3) concentrating beetles in relatively small undefoliated areas to be killed with heat in late summer. Most respondents would not adopt these alternative pest management strategies, mainly because they perceived an unsatisfactory trade-off between logistic difficulties and expenses and population suppression they would achieve compared with traditional chemical control measures. Education correlated positively and experience in farming negatively with the willingness to try new pest management techniques. Additionally, growers responding more negatively to questions regarding integrated pest management strategies were more willing to experiment with the alternative techniques, a result attributed to either the survey design or an indication of experience with the more intensive management effort required for integrated pest management. This profile of potential innovators should be used by researchers to establish partnerships with farmers that could assist with both the research and development of new farming techniques and the adoption of successful systems by other farmers.     

Assessing local knowledge use in agroforestry management with cognitive maps

Small-holder farmers often develop adaptable agroforestry management techniques to improve and diversify crop production. In the cocoa growing region of Ghana, local knowledge on such farm management holds a noteworthy role in the overall farm development. The documentation and analysis of such knowledge use in cocoa agroforests may afford an applicable framework to determine mechanisms driving farmer preference and indicators in farm management. This study employed 12 in-depth farmer interviews regarding variables in farm management as a unit of analysis and utilized cognitive mapping as a qualitative method of analysis. Our objectives were (1) to illustrate and describe agroforestry management variables and associated farm practices, (2) to determine the scope of decision making of individual farmers, and (3) to investigate the suitability of cognitive mapping as a tool for assessing local knowledge use. Results from the cognitive maps revealed an average of 16 ± 3 variables and 19 ± 3 links between management variables in the farmer cognitive maps. Farmer use of advantageous ecological processes was highly central to farm management (48% of all variables), particularly manipulation of organic matter, shade and food crop establishment, and maintenance of a tree stratum as the most common, highly linked variables. Over 85% of variables included bidirectional arrows, interpreted as farm management practices dominated by controllable factors, insofar as farmers indicated an ability to alter most farm characteristics. Local knowledge use on cocoa production revealed detailed indicators for site evaluation, thus affecting farm preparation and management. Our findings suggest that amid multisourced information under conditions of uncertainty, strategies for adaptable agroforestry management should integrate existing and localized management frameworks and that cognitive mapping provides a tool-based approach to advance such a management support system.     

Measuring determinants of occupational health related behavior in Flemish farmers: an application of the Theory of Planned Behavior

PROBLEM: Preventive interventions to reduce occupational injuries and health problems in farmers require the identification of factors that contribute to unsafe and health damaging behavior. This paper describes the development and validation of a self-report questionnaire, which measures the determinants of occupational health-related behaviors in farmers. METHOD: A representative sample of 283 Flemish farmers completed a provisional 135 item questionnaire based on the Theory of Planned Behavior, measuring four behaviors related to occupational health (machinery use, animal handling, preventing falls, and pesticide use), as well as the intentions, attitudes, perceived social norms, and self-efficacy for each of these behaviors. RESULTS: The fit indices of the Confirmatory Factor Analysis turned out not to be sufficient to reproduce the dimensions of the TPB. Therefore exploratory factor analysis was use to determine the underlying dimensions. Principal Component Analyses (PCA) on the behavioral items yielded single component solutions explaining a considerable proportion of the variance for each behavior and for behavioral intentions. Principal component analyses toward an a priori three-component structure reflecting the TPB dimensions did not produce sufficient congruence for the determinants of the four behaviors. Subsequent Varimax rotations and discarding of redundant items resulted in three component solutions explaining 50% to 69% of the variance in the determinants of each behavior, corresponding with the dimensions of the TPB. Internal consistencies ranged from .25 to .89. Scale scores accounted for a significant proportion of the variance in intention and self-reported behavior. IMPACT: The study demonstrates the validity of the TPB in predicting behavior related to occupational safety and health in farmers, and provides a valid and reliable questionnaire to measure the cognitive concepts featured in this model. IMPACT ON INDUSTRY: Both authors share the same view on this study's impact on industry. In recent years, efforts have been made to create awareness among farmers about occupational hazards, and to encourage farmers to perform safer and healthier behavior. However, only a limited number of these interventions have proven to be successful. A possible reason for this relative lack of success is that interventions typically focus on risk analysis and raising awareness, whereas the literature on preventive health behavior change indicates that knowledge and awareness with regard to possible health risks are neither necessary nor sufficient to change behavior. To raise the effectiveness of prevention programs, other relevant determinants of behavior need to be addressed as well, such as: attitudes, perceived social norms, self efficacy, and elements of the physical environment that elicit or reinforce behavior. These determinants play a key role in psychological models of health related behavior, such as the Theory of Planned Behavior. Thus far, the use of these models within agricultural settings is fairly limited. This study demonstrates the validity of the Theory of Planned Behavior in predicting behavior related to occupational safety and health in farmers, and provides a valid and reliable questionnaire to measure the cognitive concepts featured in this model.     

Structural trends in agriculture and preservation of family farms

The characteristics and role of the family farm have profoundly influenced the quality of human ecology. Considerable debate exists about the role of the family farm in the United States. This article attempts to clarify aspects of this debate by: (a) examining various definitions of the family farm and the conclusions that flow from these definitions, (b) presenting results of a structural analysis of American agriculture to better understand the origins of the debate and the relationship between people and agriculture, and (c) discussing the relevancy of some data and concepts used in evaluating the consequences of the structure of the agricultural sector.