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Drivers of diversity and tree cover in gardens, parks and streetscapes in an Australian city.

机译:澳大利亚城市中花园,公园和街景的多样性和树木覆盖的驱动力。

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摘要

While we know that urban vegetation is often distributed unequally, most studies have been undertaken in cities with relatively high levels of income inequality, using a single measure of distribution (usually tree cover) and in a single land use. This study explores predictors of both tree cover and species richness in gardens, streetscapes and parks in Ballarat, Australia. Spatial regression models found that education level was a more important predictor of tree cover than household income across all land uses in Ballarat which can be explained by some people with high incomes relative to education level choosing to live in new residential developments with disproportionately low levels of tree cover. Inequality in tree cover was greater in streetscapes than in residential gardens, suggesting that 'top down' political factors are more important than individual behaviours in determining tree cover in Ballarat. In contrast, physical rather than socioeconomic factors were better predictors of species richness across all land uses, highlighting that different measures of vegetation distribution are not necessarily correlated.
机译:虽然我们知道城市植被通常分布不均,但大多数研究是在收入不平等程度相对较高的城市中进行的,采用的是单一分布方式(通常为树木覆盖)和单一土地用途。这项研究探讨了澳大利亚巴拉瑞特(Ballarat)的花园,街道景观和公园的树木覆盖率和物种丰富度的预测因子。空间回归模型发现,在巴拉瑞特,相对于所有土地用途的家庭收入,教育水平是树木覆盖率的更重要的预测指标,这可以由相对于教育水平高收入的一些人选择居住在新的住宅开发中来得出,而该水平不成比例地偏低树盖。在街景中,树木覆盖的不平等比在住宅花园中更大,这表明在确定巴拉瑞特的树木覆盖时,“自上而下”的政治因素比个人行为更为重要。相反,在所有土地利用中,物理因素而非社会经济因素是物种丰富度的更好预测指标,突显出植被分布的不同度量不一定相关。

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