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底物因素决定路边植被结构和物种丰富度:以芬诺斯堪的亚地区沿子午线梯度的案例研究为例

Substrate Factors Determine Roadside Vegetation Structure and Species Richness: A Case Study Along a Meridional Gradient in Fennoscandia.

作者信息

Jaźwa Małgorzata, Heise Waldemar, Klimek Beata

机构信息

Institute of Botany, Faculty of Biology and Earth Sciences, Jagiellonian University, Kopernika 27, 31-501, Kraków, Poland.

Institute of Environmental Sciences, Faculty of Biology and Earth Sciences, Jagiellonian University, Gronostajowa 7, 30-387, Kraków, Poland.

出版信息

Bull Environ Contam Toxicol. 2016 Oct;97(4):554-60. doi: 10.1007/s00128-016-1895-3. Epub 2016 Aug 2.

Abstract

This study assessed the effects of road-related alteration of substrate, including increased salinity, on vegetation along a meridional gradient in Fennoscandia. Vegetation community composition were surveyed in 29 randomly selected 1-m(2) sized roadside plots. Number of plant species and plant cover (%) on the plots were positively interrelated (p < 0.0001). Both variables also decreased towards the north and with increasing coarseness of the substrate. Canonical correspondence analysis (CCA) indicated that roadside vegetation diversity and composition were most related to the importance of the road (i.e. its size and traffic intensity) and substrate pH. Road importance affects plant dispersal, whereas substrate pH was found to be a factor limiting growth. CCA indicated also that vegetation composition was affected by the meridional gradient and by the substrate salinity; both substrate salinity pH and salinity were not related to meridional gradient. Our results indicate that roadside vegetation diversity and composition is driven by natural and anthropogenic factors.

摘要

本研究评估了与道路相关的基质变化(包括盐度增加)对芬诺斯堪的亚地区沿子午线梯度的植被的影响。在29个随机选择的1平方米大小的路边地块中调查了植被群落组成。地块上的植物物种数量和植物覆盖度(%)呈正相关(p < 0.0001)。这两个变量也都随着向北以及基质粗糙度的增加而减少。典范对应分析(CCA)表明,路边植被多样性和组成与道路的重要性(即其规模和交通强度)以及基质pH值最为相关。道路重要性影响植物扩散,而基质pH值被发现是限制生长的一个因素。CCA还表明,植被组成受子午线梯度和基质盐度的影响;基质盐度pH值和盐度均与子午线梯度无关。我们的结果表明,路边植被多样性和组成是由自然和人为因素驱动的。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/07b8/5025485/e30e2068f591/128_2016_1895_Fig1_HTML.jpg

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