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Scale-dependent importance of environment, land use and landscape structure for species richness and composition of SE Norwegian modern agricultural landscapes.

机译:环境,土地利用和景观结构对东南挪威现代农业景观物种丰富性和组成的规模依赖性重要性。

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摘要

Knowledge of variation in vascular plant species richness and species composition in modern agricultural landscapes is important for appropriate biodiversity management. From species lists for 2201 land-type patches in 16 1-km2 plots five data sets differing in sampling-unit size from patch to plot were prepared. Variation in each data set was partitioned into seven sources: patch geometry, patch type, geographic location, plot affiliation, habitat diversity, ecological factors, and land-use intensity. Patch species richness was highly predictable (75% of variance explained) by patch area, within-patch heterogeneity and patch type. Plot species richness was, however, not predictable by any explanatory variable, most likely because all studied landscapes contained all main patch types - ploughed land, woodland, grassland and other open land - and hence had a large core of common species. Patch species composition was explained by variation along major environmental complex gradients but appeared nested to lower degrees in modern than in traditional agricultural landscapes because species-poor parts of the landscape do not contain well-defined subsets of the species pool of species-rich parts. Variation in species composition was scale dependent because the relative importance of specific complex gradients changed with increasing sampling-unit size, and because the amount of randomness in data sets decreased with increasing sampling-unit size. Our results indicate that broad landscape structural changes will have consequences for landscape-scale species richness that are hard or impossible to predict by simple surrogate variables..
机译:了解现代农业景观中维管植物物种丰富度和物种组成的变化对于适当的生物多样性管理非常重要。从16个1平方公里土地的2201个土地类型斑块的物种清单中,准备了五个数据集,每个斑块之间的采样单位大小不同。每个数据集的变化分为七个来源:斑块的几何形状,斑块的类型,地理位置,地块隶属度,栖息地多样性,生态因素和土地利用强度。通过斑块面积,斑块内异质性和斑块类型,可以高度预测斑块物种的丰富度(解释了75%的方差)。但是,用任何解释变量都无法预测地块物种的丰富性,这很可能是因为所有研究的景观都包含所有主要的斑块类型-耕地,林地,草地和其他开阔土地-因此具有大量常见物种。斑块种类的组成可以通过沿主要环境复杂梯度的变化来解释,但在现代看来比传统农业景观中的嵌套程度要低,因为景观中物种贫乏的部分不包含物种丰富的物种的物种库中明确定义的子集。物种组成的变化与规模有关,这是因为特定复杂梯度的相对重要性随采样单位大小的增加而变化,并且数据集中的随机性随采样单位大小的增加而降低。我们的结果表明,广泛的景观结构变化将对景观规模的物种丰富度产生影响,而这些后果很难或不可能通过简单的替代变量来预测。

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