Department of Environmental Agronomy and Crop Production, University of Padova, viale dell'Università 16-35020 Legnaro, Padova, Italy.
Sci Total Environ. 2011 Sep 15;409(20):4381-6. doi: 10.1016/j.scitotenv.2011.07.010. Epub 2011 Jul 29.
Lichens are composite organisms consisting of a symbiotic association of a fungus with a photosynthetic partner. Although the photobiont type is a key life-history trait, tests of the potential differential role of the main photobiont types in shaping large-scale patterns of lichen species richness are still absent. The aim of the study was to test the influences of forest structure and climate on epiphytic lichen species richness across Italy and to see whether these relationships change for groups of species sharing different photobiont types. Regional species richness of epiphytic lichens divided into three main photobiont types (i.e. chlorococcoid green algae, cyanobacteria, and Trentepohlia algae) was retrieved for each of the 20 administrative regions. Multiple linear regression was used to quantify the effect of climate and forest structure, and their potential interaction, on the regional species richness for the three photobiont types, accounting also for the effect of regional area. Regional species richness was associated with both climate and forest structure variables but the relationships with both factors were largely photobiont dependent. Regional area and precipitation were the only predictors included in all the models, confirming the strong dependence of lichens on atmospheric water supply, irrespective of the photobiont type. Number of species with chlorococcoid green algae were further positively associated with cover of high forest, whilst lichens with Trentepohlia were further enhanced by warm temperatures. Cyanolichen species richness was only related to area and precipitation. Our study shed light on the relative importance of climate and forest structure on lichen species richness patterns at the macroscale, showing a differential response of the photobiont types to various environmental determinants. This differential response suggested that the current and future impacts of global change on lichens cannot be generalized and that species richness response will be likely dependent on the photobiont type.
地衣是由真菌与光合伙伴共生组成的复合生物。虽然光生物类型是一个关键的生活史特征,但对于主要光生物类型在塑造地衣物种丰富度的大尺度模式中的潜在差异作用的测试仍然缺乏。本研究的目的是测试森林结构和气候对意大利地区附生地衣物种丰富度的影响,并观察这些关系是否因具有不同光生物类型的物种组而发生变化。将地衣物种丰富度划分为三种主要光生物类型(即绿藻、蓝藻和 Trentepohlia 藻类),并为每个 20 个行政区域检索到每种光生物类型的区域物种丰富度。多元线性回归用于量化气候和森林结构及其潜在相互作用对三种光生物类型的区域物种丰富度的影响,同时考虑区域面积的影响。区域物种丰富度与气候和森林结构变量有关,但与这两个因素的关系在很大程度上取决于光生物类型。区域面积和降水量是所有模型中唯一包含的预测因子,这证实了地衣强烈依赖大气水分供应,而与光生物类型无关。含有绿藻的物种数量与阔叶林的覆盖率呈正相关,而含有 Trentepohlia 的地衣则因温暖的温度而进一步增加。蓝藻的物种丰富度仅与面积和降水有关。本研究阐明了气候和森林结构对宏观尺度地衣物种丰富度模式的相对重要性,表明光生物类型对地衣对各种环境决定因素的反应存在差异。这种差异反应表明,全球变化对地衣的当前和未来影响不能一概而论,物种丰富度的反应可能取决于光生物类型。