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Comparing street tree assemblages and associated stormwater benefits among communities in metropolitan Cincinnati, Ohio, USA

机译:比较美国俄亥俄州辛辛那提大都会社区的街道树群和相关的雨水效益

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Green infrastructure approaches leverage vegetation and soil to improve environmental quality. Municipal street trees are crucial components of urban green infrastructure because they provide stormwater interception benefits and other ecosystem services. Thus, it is important to understand the patterns and drivers of structural heterogeneity in urban street tree assemblages. In this study, we compared the forest structure of street trees across nine communities along both geographic and demographic gradients in metropolitan Cincinnati, Ohio: USA. Specifically, we used a two-part statistical model to compare both the proportion of sampled street segments containing zero trees, and basal area magnitude for street segments with trees. We made community-scale comparisons based on street tree management, socioeconomics, and geographic setting. Then, using modeled stormwater interception estimates from i-Tree Streets, we investigated the implications of heterogeneity in street tree assemblages for stormwater interception benefits. The forest structure of street trees varied across communities in relation to management practices, namely participation in the Tree City USA program. As a consequence of this structural difference, we observed a stark discrepancy in estimated stormwater interception between Tree City USA participants (128.7 m(3)/km street length) and non-participants (59.2 m(3)/km street length). While street tree assemblages did not vary by community poverty status, we did find differences according to community racial composition: In contrast to previous research, basal area was greater in predominantly black (i.e., African American) and racially mixed communities than in predominantly white communities. We did not observe structural differences across geographic strata. This research underscores the importance of proactive management practices for increasing the forest structure of street trees. Our findings regarding socioeconomics and geographic setting contrast previous studies, suggesting the need for continued research into the drivers of structural heterogeneity in street tree assemblages. Published by Elsevier GmbH.
机译:绿色基础设施方法利用植被和土壤来改善环境质量。市政街树是城市绿色基础设施的关键组成部分,因为它们提供了雨水拦截收益和其他生态系统服务。因此,重要的是要了解城市街道树木组合中结构异质性的模式和驱动因素。在这项研究中,我们比较了美国俄亥俄州辛辛那提大都会沿地理和人口梯度分布的9个社区的街道树木的森林结构。具体来说,我们使用了两部分统计模型来比较包含零棵树的采样街道段的比例和包含树木的街道段的基础面积大小。我们根据街树管理,社会经济学和地理环境进行了社区规模的比较。然后,使用i-Tree Streets的建模雨水截留估算值,我们研究了街道树组合中的异质性对雨水截留效益的影响。街道树木的森林结构因管理实践而异,即参与美国树城计划。由于这种结构上的差异,我们在美国“树城”参与者(128.7 m(3)/ km的街道长度)和非参与者(59.2 m(3)/ km的街道长度)之间的估计雨水截留量之间存在明显差异。尽管街道树的组成并没有因社区贫困状况而异,但我们确实根据社区种族组成发现了差异:与先前的研究相比,主要是黑人(即非裔美国人)和种族混合社区的基础面积比主要是白人社区大。我们没有观察到跨地理层次的结构差异。这项研究强调了主动管理实践对增加林木森林结构的重要性。我们在社会经济学和地理环境方面的发现与以前的研究形成对比,这表明需要继续研究街树组合中结构异质性的驱动因素。由Elsevier GmbH发布。

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