School of Geography and Environmental Studies, University of Tasmania, Hobart, Tasmania, Australia.
Conserv Biol. 2010 Jun;24(3):730-6. doi: 10.1111/j.1523-1739.2009.01378.x. Epub 2009 Nov 24.
Our knowledge of cryptogam taxonomy and species distributions is currently too poor to directly plan for their conservation. We used inventory data from four distinct vegetation types, near Hobart Tasmania, to address the proposition that vegetation type, vascular plant taxon composition, and environmental variables can act as surrogates for mosses and macrofungi in reservation planning. The four vegetation types proved distinct in their taxon composition for all macrofungi, mosses, and vascular plants. We tested the strength of the relationships between the composition of cryptogam taxonomic groups and vascular plant composition and between the environmental variables and canopy cover. Taxon composition of woody vascular plants and vascular plants was the best predictor of the taxon composition of mosses and macrofungi. Combinations of environmental variables and canopy cover were also strong predictors of the taxon composition of mosses and macrofungi. We used an optimization routine for vascular plant taxa and woody plant species and determined the representation of cryptogam taxa in these selections. We identified sites with approximately 10% and 30% of the greatest proportions of vascular plants and woody vascular plants and calculated representation of mosses and macrofungi at these sites. We compared the results of these site selections with random site selections and random selections stratified by vegetation type. Random selection of sites by vegetation type generally captured more cryptogams than site selection by vascular plants at the 10% level. Vascular plant and woody plant taxon composition, vegetation type, and environmental and structural characteristics, all showed promise as surrogates for capturing common cryptogams in reserve systems.
我们对隐花植物分类学和物种分布的了解目前还不够充分，无法直接规划它们的保护工作。我们使用了来自塔斯马尼亚州霍巴特附近四种不同植被类型的清查数据，来探讨植被类型、维管植物分类群组成和环境变量是否可以作为保护规划中藓类植物和大型真菌的替代指标。这四种植被类型在所有大型真菌、藓类植物和维管植物的分类群组成上都有明显的区别。我们测试了隐花植物分类群组成与维管植物组成之间以及环境变量与冠层覆盖之间关系的强度。木本维管植物和维管植物的分类群组成是藓类植物和大型真菌分类群组成的最佳预测指标。环境变量和冠层覆盖的组合也是藓类植物和大型真菌分类群组成的强有力预测指标。我们使用了维管植物类群和木本植物物种的优化程序，并确定了这些选择中隐花植物类群的代表性。我们确定了具有约 10%和 30%最大维管植物和木本维管植物比例的站点，并计算了这些站点中藓类植物和大型真菌的代表性。我们将这些站点选择的结果与随机站点选择和按植被类型分层的随机选择进行了比较。按植被类型随机选择站点通常比按维管植物选择站点在 10%的水平上捕获更多的隐花植物。维管植物和木本植物分类群组成、植被类型以及环境和结构特征都有望成为保护系统中捕获常见隐花植物的替代指标。
