Distribution of Russian knapweed in Colorado: Climate and environmental factors

S. Goslee, K. Beck, D. Peters
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引用次数: 8

Abstract

Russian knapweed (Acroptilon repens (L.) DC.) was introduced to the western United States during the early 1900s. This invasive perennial was a contaminant of alfalfa seed, and was distributed widely across Colorado. Thus, current distributions reflect the climate and soils tolerances of Russian knapweed, and management history, rather than dispersal processes. We surveyed extension and weed agents across Colorado, and were able to locate 528 current or recently eliminated Russian knapweed stands. These patches were superimposed on climate and soils maps to identify 1 km grid cells that were known to contain Russian knapweed. The status of Russian knapweed within a cell was used as the dependent variable in a logistic regression model to define the environmental envelope for this species. At the scale of our analysis, Russian knapweed was most prevalent on fine-textured soils (clay and clay loam), and in warmer, drier regions of Colorado (precipitation 18-73 cm/yr, mean annual temperature 1-12C). June precipitation was the most important single factor, although nearly all environmental, annual, and monthly climatic factors were significantly related to Russian knapweed occurrence. The multivariate logistic regression model we developed was used to predict the probability of occurrence of Russian knapweed for the entire state of Colorado. Our predictions matched the areas of highest abundance of Russian knapweed from a new field survey, and also indicated areas of high risk that were not identified by the field survey. DOI:10.2458/azu_jrm_v56i3_goslee
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俄国矢车菊在科罗拉多州的分布:气候和环境因素
俄国矢车菊(Acroptilon repens))在20世纪初被引入美国西部。这种入侵多年生植物是苜蓿种子的污染物,在科罗拉多州广泛分布。因此,目前的分布反映了俄罗斯knapweed的气候和土壤耐受性,以及管理历史,而不是扩散过程。我们调查了科罗拉多州的推广和杂草代理商,并找到了528个目前或最近被消灭的俄罗斯矢车菊林。这些斑块被叠加在气候和土壤地图上,以确定已知含有俄罗斯矢车菊的1公里网格单元。在逻辑回归模型中,将叶面草在细胞内的状态作为因变量来定义该物种的环境包络。在我们的分析范围内,俄罗斯knapweed在细质土壤(粘土和粘土壤土)和科罗拉多州温暖干燥的地区(降雨量18-73厘米/年,年平均气温1-12摄氏度)最普遍。虽然几乎所有的环境因子、年因子和月因子都与叶面草的发生有显著的关系,但6月份的降水是最重要的单一因子。我们开发的多元逻辑回归模型用于预测整个科罗拉多州的俄罗斯矢车菊发生的概率。我们的预测与一项新的野外调查中发现的俄罗斯knapweed丰度最高的地区相匹配,也表明了野外调查未确定的高风险地区。DOI: 10.2458 / azu_jrm_v56i3_goslee
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