Evaluating a sampling protocol for assessing plant diversity in prairie fens
Evaluating a sampling protocol for assessing plant diversity in prairie fens
复制标题
评估草原沼泽植物多样性的采样方案
DOI：
10.1007/s11273-016-9491-1
复制
发表时间：
2016
影响因子：
1.8
通讯作者：
Anna K. Monfils
中科院分区：
文献类型：
--
作者：
Rachel A. Hackett;M. Monfils;Anna K. Monfils
草原沼泽是全球脆弱的湿地，由于其高度生物多样性和水文功能受到威胁，被认为是保护的重点。建立一个彻底的和可重复的植物采样协议是评估保护和管理举措的关键。我们的目标是评估一种用于评估草原沼泽植物多样性的样本方法，并确定其结果是否具有(1)站点多样性的代表性，(2)沼泽之间的可比性，以及(3)收集效率。在2012年和2013年的田间季节，采用面积比例随机设计，在一个生长季节对面积在8.5至28.4公顷之间的19个沼泽进行了两次调查。在春季和夏季取样期间，一个站点内的物种周转在8%至50%之间。植物物种丰富度的样本覆盖范围为84.8% ~ 95.0%，平均为90.1%。我们将面积比例随机设计的结果与每个站点10、15、20、25、30、35和40个样方的模拟随机样本进行了比较。当使用每个站点25、30或35个样方的采样率与面积比例设计相比，在每分之一的样本覆盖率方面没有发现显著差异。Shannon多样性指数和区系质量指数随采样时间和样方数的不同而不同。我们的样本设计产生了可接受的覆盖水平，并促进了沼泽之间的比较。我们的方法可以应用于中西部草原沼泽的未来研究、恢复监测和保护规划工作。
Prairie fens are globally vulnerable wetlands that are considered a conservation priority due to threats to their high biodiversity and hydrological functions. Establishing a thorough and repeatable plant sampling protocol is critical to evaluating conservation and management initiatives. Our goal was to evaluate a sample methodology designed to assess prairie fen plant diversity and determine if it produced results (1) representative of site diversity, (2) comparable among fens, and (3) efficient to collect. Nineteen fens between 8.5 and 28.4 ha were surveyed twice within one growing season during 2012 and 2013 field seasons using an area-proportional, random design. The turnover in species between spring and summer sampling periods within a site ranged from 8 to 50 %. Sample coverage of total estimated plant species richness ranged from 84.8 to 95.0 % with a mean of 90.1 %. We compared results from our area-proportional, random design to simulated random samples of 10, 15, 20, 25, 30, 35 and 40 quadrats per site. No significant difference was found in sample coverage per fen when using sampling rates of 25, 30, or 35 quadrats per site versus the area-proportional design. Shannon’s diversity index and floristic quality index differed by sample period and number of quadrats sampled per fen. Our sample design produced acceptable levels of coverage and facilitated comparisons across fens. Our methodology could be applied to future research, restoration monitoring, and conservation planning efforts in Midwestern prairie fens.