Estimating the biodiversity of hay meadows in north-eastern Switzerland on the basis of vegetation structure
Estimating the biodiversity of hay meadows in north-eastern Switzerland on the basis of vegetation structure
复制标题
基于植被结构估算瑞士东北部干草草地的生物多样性
DOI：
10.1016/s0167-8809(01)00347-4
复制
发表时间：
2002
期刊：
影响因子：
--
通讯作者：
P. Edwards
中科院分区：
文献类型：
--
作者：
A. Schwab;D. DuBois;P. Fried;P. Edwards
生物多样性是评估提高农村地区生态质量措施成效的主要标准。根据选定的指示生物群体，包括动物和植物群体，对生物多样性进行评估是费时的，需要高水平的专业知识：因此需要更简单的方法。使用三个指标组（被子植物，蜘蛛和真正的错误）在瑞士东北部（沙夫豪森州）的18干草草甸的生物多样性进行了调查。简单的结构参数描述植被冠层进行了调查，在其有用的替代品的生物多样性措施。18个地点在所有指标组的物种丰富度、多样性和丰度方面差异很大。被子植物种类21 ~ 57种，蜘蛛25 ~ 45种，蝽类12 ~ 37种。3个指标组的物种数之间存在显著相关性（被子植物与蜘蛛：r=0.53，P=0.02;被子植物与真蝽：r=0.59，P=0.01;真蝽与蜘蛛：r=0.61，P=0.01）。管理对物种丰富度有很强的影响，在广泛的管理下，表现出最高的物种数量和多样性的网站。最强的相关性是真正的错误和其他两个指标组之间的相关性。然而，每120平方米的被子植物物种数，这是很容易评估，也是一个可以接受的预测其他两个指标组。植被冠层的几个参数显着相关的物种数量和多元回归模型的基础上，这些参数解释了25-60%的物种丰富度和组成的方差。冠层密度、植物生物量分布和植物高度是所有指标组的最重要参数。结果表明，参数描述的植被结构提供了有用的信息，相对物种丰富度的网站。结合参数描述周围的土地利用和库存的被子植物，他们提供了一个有前途的方法，大规模评估生物多样性。
Biological diversity is a major criterion in evaluating the effectiveness of measures to enhance the ecological quality of rural areas. Assessments of biodiversity based on selected groups of indicator organisms, including both animal and plant groups, are time-consuming and require a high level of expert knowledge: simpler methods are therefore needed. The biodiversity of 18 hay meadows in north-eastern Switzerland (Schaffhauser Randen, Canton Schaffhausen) was investigated using three indicator groups (angiosperms, spiders and true bugs). Simple structural parameters describing the vegetation canopy were investigated in terms of their usefulness as surrogates for biodiversity measures. Eighteen sites varied widely in terms of species richness, diversity and abundance for all indicator groups. Numbers of angiosperm species varied from 21 to 57, spiders 25 to 45, and true bugs 12 to 37. Species numbers of the three indicator groups were significantly correlated with each other (angiosperms versus spiders: r=0.53, P=0.02; angiosperms versus true bugs: r=0.59, P=0.01; true bugs versus spiders: r=0.61, P=0.01). Management had a strong influence on species richness, the sites under extensive management showing the highest species number and diversity. The strongest correlations were those between true bugs and the two other indicator groups. However, the number of angiosperm species per 120m2, which was easy to assess, was also an acceptable predictor of the other two indicator groups. Several parameters of the vegetation canopy were significantly related to species numbers and multiple regression models based on these parameters explained 25–60% of the variance in species richness and composition. Canopy density, plant biomass distribution and plant height were the most important parameters for all indicator groups. The results indicate that parameters describing the structure of the vegetation provide useful information about the relative species richness of sites. In combination with parameters describing the surrounding land-use and an inventory of the angiosperms present, they offer a promising method for assessing biodiversity on a large scale.