Bansal Sheel, Sheley Roger L
USDA-Agricultural Research Service, Eastern Oregon Agricultural Research Center, 67826-A Hwy 205, Burns, OR, 97720, USA.
US Geological Survey, Northern Prairie Wildlife Research Center, 8711 37th St. SE, Jamestown, ND, 58401, USA.
Oecologia. 2016 Jun;181(2):543-57. doi: 10.1007/s00442-016-3583-8. Epub 2016 Feb 26.
The invasion by winter-annual grasses (AGs) such as Bromus tectorum into sagebrush steppe throughout the western USA is a classic example of a biological invasion with multiple, interacting climate, soil and biotic factors driving the invasion, although few studies have examined all components together. Across a 6000-km(2) area of the northern Great Basin, we conducted a field assessment of 100 climate, soil, and biotic (functional group abundances, diversity) factors at each of 90 sites that spanned an invasion gradient ranging from 0 to 100 % AG cover. We first determined which biotic and abiotic factors had the strongest correlative relationships with AGs and each resident functional group. We then used regression and structural equation modeling to explore how multiple ecological factors interact to influence AG abundance. Among biotic interactions, we observed negative relationships between AGs and biodiversity, perennial grass cover, resident species richness, biological soil crust cover and shrub density, whereas perennial and annual forb cover, tree cover and soil microbial biomass had no direct linkage to AG. Among abiotic factors, AG cover was strongly related to climate (increasing cover with increasing temperature and aridity), but had weak relationships with soil factors. Our structural equation model showed negative effects of perennial grasses and biodiversity on AG cover while integrating the negative effects of warmer climate and positive influence of belowground processes on resident functional groups. Our findings illustrate the relative importance of biotic interactions and climate on invasive abundance, while soil properties appear to have stronger relationships with resident biota than with invasives.
诸如雀麦草等冬季一年生禾本科植物(AGs)入侵美国西部各地的蒿属植物草原,这是生物入侵的一个典型例子,多种相互作用的气候、土壤和生物因素驱动着这种入侵,尽管很少有研究将所有这些因素综合起来考察。在大盆地北部一个6000平方公里的区域内,我们对90个地点进行了实地评估,每个地点评估100个气候、土壤和生物(功能群丰度、多样性)因素,这些地点跨越了从0%到100%的AG覆盖度的入侵梯度。我们首先确定哪些生物和非生物因素与AGs以及每个本地功能群具有最强的相关关系。然后,我们使用回归分析和结构方程模型来探究多种生态因素如何相互作用以影响AGs的丰度。在生物相互作用中,我们观察到AGs与生物多样性、多年生草本植物覆盖度、本地物种丰富度、生物土壤结皮覆盖度和灌木密度之间呈负相关关系,而多年生和一年生杂类草覆盖度、树木覆盖度和土壤微生物生物量与AGs没有直接联系。在非生物因素中,AG覆盖度与气候密切相关(随着温度和干旱程度的增加而增加),但与土壤因素的关系较弱。我们的结构方程模型显示,多年生草本植物和生物多样性对AG覆盖度有负面影响,同时综合了温暖气候的负面影响以及地下过程对本地功能群的积极影响。我们的研究结果说明了生物相互作用和气候对入侵物种丰度的相对重要性,而土壤性质似乎与本地生物群落的关系比与入侵物种的关系更强。