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Functional Group Density as an index for assessing habitat quality in tallgrass prairie

机译:功能群密度作为评估草丛草原生境质量的指标

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摘要

We propose that patterns of plant functional group occurrences could be a reliable indicator of prairie vegetation quality. A method for assessing tallgrass prairie quality based on density and composition of plant functional groups was developed and tested by comparison with qualitative indices calculated from species data at 17 prairies in Illinois. Species sample data were recorded from quadrats while functional group data were recorded from segments of belt transects overlying the species sample transects. Prairies selected include remnants and restorations and represent a wide range of habitat quality including recognized natural areas, degraded remnants, and prairie plantings of varying age and success. For agglomerative clustering of prairie quality classes, a matrix of habitat indices and metrics was used based on species sample data from all sites. Three groups were identified in cluster analysis that were characteristic of high, medium, and low-quality prairies. Mean Functional Group Density (Mean FGD), an index developed based on the mean products of frequency and density among plant functional groups recorded from belt transects at each site, had the highest correlations to habitat quality indices among two other functional group indices tested. Mean FGD was highly correlated with the mean coefficient of conservatism and floristic quality index, indices calculated from species sample data that have been shown to be reliable indicators of habitat quality. In means comparison tests among prairie quality classes, Mean FGD differentiated high-quality from medium and low-quality prairies, but did not distinguish medium from low-quality sites (only two low-quality sites were identified), although rank order of Mean FGD was as predicted. There is a tradeoff in efficiency and precision between species-level and functional group sample data. Species-level data more precisely discriminate differences in low and medium-quality sites; however, functional group sampling is much more rapid requiring only 20-to-25% of the time required for collecting species-level data. Results from functional group sampling highlight differences in functional group composition among prairie quality classes. High-quality prairies are characterized by greater abundance of sedges and hemi-parasites while lower-quality prairies were affiliated more with non-native perennial forbs and annual/biennial species.
机译:我们认为植物功能群的发生模式可以作为草原植被质量的可靠指标。通过与伊利诺伊州17个大草原的物种数据计算得出的定性指标进行比较,开发并测试了一种基于植物功能组的密度和组成来评估草丛大草原质量的方法。物种样本数据来自四边形,而功能组数据则来自覆盖物种样本样带的带状样带段。选定的草原包括残留物和修复物,代表着广泛的栖息地质量,包括公认的自然地区,退化的残留物以及不同年龄和成功程度的大草原种植。对于草原质量等级的聚集聚类,基于来自所有地点的物种样本数据,使用了生境指数和度量矩阵。在聚类分析中确定了三组,分别是高,中,低质量大草原的特征。平均功能组密度(Mean FGD)是基于每个站点的带状样带记录的植物功能组中频率和密度的平均乘积而开发的指数,在其他两个测试的功能组指标中,与栖息地质量指数的相关性最高。平均烟气脱硫与保守度平均系数和植物质量指数高度相关,该指数是根据物种样本数据计算得出的,已被证明是栖息地质量的可靠指标。在草原质量等级之间的均值比较测试中,尽管平均值FGD的等级顺序不同,但均值FGD将高质量和中级和劣质的草原区分开来,但没有区分中等和劣质的地点(仅识别了两个劣质地点)。如预期的那样。在物种级别和功能组样本数据之间要在效率和精度之间进行权衡。物种水平的数据更准确地区分了中低质量地点的差异;但是,功能组采样的速度要快得多,只需要收集物种级别数据所需时间的20%到25%。功能组抽样的结果突显了草原质量等级之间功能组组成的差异。高质量的草原的特征是莎草和半寄生虫的数量更多,而质量较低的草原更多地与非本地多年生植物和一年生/二年生物种相关。

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