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Assessing exotic plant species invasions and associated soil characteristics: a case study in eastern Rocky Mountain National Park, Colorado, USA, using the pixel nested plot design.

机译:评估外来植物物种入侵和相关的土壤特征:以像素嵌套样地设计为例,在美国科罗拉多州洛矶山国家公园东部进行了案例研究。

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Rocky Mountain National Park (RMNP), Colorado, USA, contains a diversity of plant species. However, many exotic plant species have become established, potentially impacting the structure and function of native plant communities. Our goal was to quantify patterns of exotic plant species in relation to native plant species, soil characteristics, and other abiotic factors that may indicate or predict their establishment and success. Our research approach for field data collection was based on a field plot design called the pixel nested plot. The pixel nested plot provides a link to multi-phase and multi-scale spatial modeling-mapping techniques that can be used to estimate total species richness and patterns of plant diversity at finer landscape scales. Within the eastern region of RMNP, in an area of approximately 35 000 ha, we established a total of 60 pixel nested plots in 9 vegetation types. We used canonical correspondence analysis (CCA) and multiple linear regressions to quantify relationships between soil characteristics and native and exotic plant species richness and cover. We also used linear correlation, spatial autocorrelation and cross correlation statistics to test for the spatial patterns of variables of interest. CCA showed that exotic species were significantly (P<0.05) associated with photosynthetically active radiation (r=0.55), soil nitrogen (r=0.58) and bare ground (r=-0.66). Pearson's correlation statistic showed significant linear relationships between exotic species, organic carbon, soil nitrogen, and bare ground. While spatial autocorrelations indicated that our 60 pixel nested plots were spatially independent, the cross correlation statistics indicated that exotic plant species were spatially associated with bare ground, in general, exotic plant species were most abundant in areas of high native species richness. This indicates that resource managers should focus on the protection of relatively rare native rich sites with little canopy cover, and fertile soils. Using the pixel nested plot approach for data collection can facilitate the ecological monitoring of these vulnerable areas at the landscape scale in a time- and cost-effective manner..
机译:美国科罗拉多州的落基山国家公园(RMNP)包含多种植物。但是,已经建立了许多外来植物物种,可能会影响本地植物群落的结构和功能。我们的目标是量化与本地植物物种,土壤特征以及其他可能指示或预测其建立和成功的非生物因素相关的外来植物物种的模式。我们用于现场数据收集的研究方法基于称为像素嵌套图的现场图设计。像素嵌套图提供了到多阶段和多尺度空间建模映射技术的链接,该技术可用于在更精细的景观尺度上估算总物种丰富度和植物多样性模式。在RMNP的东部地区,大约35 000公顷的面积中,我们在9种植被类型中建立了总共60个像素的嵌套样地。我们使用规范对应分析(CCA)和多元线性回归来量化土壤特征与本地和外来植物物种丰富度和覆盖率之间的关系。我们还使用线性相关,空间自相关和互相关统计来测试关注变量的空间模式。 CCA表明,外来物种与光合有效辐射(r = 0.55),土壤氮(r = 0.58)和裸露地(r = -0.66)显着相关(P <0.05)。皮尔森的相关统计表明外来物种,有机碳,土壤氮和裸露地之间存在显着的线性关系。空间自相关表明我们的60个像素的嵌套图在空间上是独立的,而互相关统计表明外来植物物种在空间上与裸露的地面相关,总的来说,外来植物物种在本地物种丰富度高的地区最丰富。这表明资源管理者应集中精力保护相对稀疏的自然资源丰富的地区,这些地方的树冠覆盖很少,土壤肥沃。使用像素嵌套绘图方法进行数据收集可以以节省时间和成本的方式促进对景观区域这些脆弱区域的生态监测。

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