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Birds in agricultural areas---Reducing pesticide risks to birds using a risk assessment analysis.

机译:农业地区的鸟类-使用风险评估分析降低农药对鸟类的危害。

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摘要

Bird presence is well documented in agricultural areas and conversion of native habitats to agricultural land has resulted in shifts in species composition and abundance and alteration of geographic ranges. Pesticides have been widely used on agriculture since World War II, and while massive avian mortality events have been documented, the long-term effects of exposure to pesticides are unknown. Although the bioaccumulating organochlorine pesticides have mostly been banned, their replacements, the organophosphate pesticides are more toxic to wildlife. This study attempted to: (1) establish an extensive database on what bird species are using agriculture, where they are found and how they are using agricultural areas; (2) analyze these data to determine if there are significant relationships between avian population abundance, agricultural intensity, and crop types; and (3) determine if there are negative population trends associated with pesticide use. I built an MS Access database documenting bird use of agricultural areas from an extensive literature review including 577 citations, mostly from peer-reviewed journals. To analyze bird use of agriculture, I divided the north central states into 20 areas based on Omernik's Ecoregions and mapped Breeding Bird Survey routes to those areas using ArcView 3.3. Using North American BBS data analyzed with the route-regression method, I calculated species trends and abundances for all grassland and ground nesting bird species with sufficient data to meet statistical requirements. Using National Agricultural Statistics Service and National Center for Food and Agricultural Policy data, I calculated six independent variables including agricultural intensity, percent herbicide use, percent insecticide use, acute toxicity, chronic toxicity, and an herbicide indirect parameter. Linear regressions showed a significant positive relationship between Killdeer (Charadrius vociferous) abundance and agricultural intensity and significantly negative relationships between Upland Sandpiper (Bartramia longicauda) and Grasshopper Sparrow ( Ammodramus savannarum) abundance and agricultural intensity (p0.05). Linear regressions also showed significant positive relationships between Killdeer abundance and amount of corn and amount of soybeans and between Bobolink (Dolichonyx oryzivorus) abundance and amount of oats (p0.05). Additionally, linear regressions showed significantly negative relationships between Dickcissel (Spiza americana), Grasshopper Sparrow, and Western Meadowlark (Sturnella neglecta) abundance and amount of oats, between Bobolink abundance and amount of soybeans, between Bobolink and Grasshopper Sparrow abundance and amount of corn and finally between Dickcissel, Grasshopper Sparrow, and Western Meadowlark abundance and amount of alfalfa (p0.05). Linear regressions between the independent variables and the percentage of negative species trends by area showed the chronic toxicity variable to be the most important in predicting negative species trends (p0.05). Multiple regressions between a reduced set of independent variables and individual species trends gave inconclusive results because of the difficulty in separating pesticide effects from agricultural intensity effects.
机译:农业地区充分记录了鸟类的存在,原生栖息地向农业土地的转化导致物种组成的变化,丰度和地理范围的变化。自第二次世界大战以来,农药已广泛用于农业,尽管有大量禽类死亡事件的记录,但不知道农药暴露的长期影响。尽管大多数生物蓄积性有机氯农药已被禁止,但其替代品对有机磷农药的毒性更大。这项研究试图:(1)建立一个广泛的数据库,了解哪些鸟类在利用农业,在何处发现鸟类以及它们在农业地区的使用情况; (2)分析这些数据,以确定禽类种群数量,农业强度和作物类型之间是否存在显着关系; (3)确定是否存在与农药使用相关的负面人口趋势。我建立了一个MS Access数据库,该数据库通过广泛的文献综述(包括577条引用,主要来自同行评审的期刊)来记录农业地区的鸟类使用情况。为了分析鸟类对农业的利用,我基于Omernik的生态区将北部中部各州划分为20个区域,并使用ArcView 3.3将育种鸟类调查路线绘制到了这些区域。使用通过路径回归方法分析的北美BBS数据,我计算了所有草地和地面筑巢鸟类的物种趋势和丰度,并提供了足以满足统计要求的数据。使用国家农业统计局和国家粮食与农业政策中心的数据,我计算了六个独立变量,包括农业强度,除草剂使用百分比,杀虫剂使用百分比,急性毒性,慢性毒性和除草剂间接参数。线性回归显示,Killdeer(Charadrius vociferous)丰度与农业强度之间呈显着正相关,而高地Sand(Bartramia longicauda)和Grasshopper Sparrow(Ammodramus savannarum)丰度与农业强度之间呈显着负相关(p <0.05)。线性回归还显示,Killdeer丰度与玉米量和大豆量之间以及Bobolink(Dolichonyx oryzivorus)丰度与燕麦量之间存在显着的正相关关系(p <0.05)。此外,线性回归显示,狄克西瑟(Spiza americana),蚱Grass麻雀和西部草地lar(Sturnella neglecta)丰度与燕麦量,Bobolink丰度和大豆量之间,Bobolink和Grasshopper麻雀的丰度以及玉米和玉米的量之间显着负相关。最后在迪克西塞尔(Dickcissel),蚱hopper麻雀(Messhopper Sparrow)和西部草地lar(Meadowlark)的丰度和苜蓿数量之间(p <0.05)。自变量与阴性物种趋势(按面积)之间的线性回归表明,慢性毒性变量对于预测阴性物种趋势最为重要(p <0.05)。由于难以将农药影响与农业强度影响区分开来,一组减少的独立变量与单个物种趋势之间的多元回归未得出结论。

著录项

  • 作者

    Heath, Susan A.;

  • 作者单位

    George Mason University.;

  • 授予单位 George Mason University.;
  • 学科 Biology Zoology.;Environmental Sciences.
  • 学位 Ph.D.
  • 年度 2008
  • 页码 94 p.
  • 总页数 94
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 动物学;环境科学基础理论;
  • 关键词

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