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六个气候多样的美国大都市区城乡梯度的住宅庭院养护实践。

Residential household yard care practices along urban-exurban gradients in six climatically-diverse U.S. metropolitan areas.

机构信息

USDA Forest Service, Baltimore Field Station, Baltimore, MD, United States of America.

Florida Atlantic University, Center for Environmental Studies, Davie, FL, United States of America.

出版信息

PLoS One. 2019 Nov 13;14(11):e0222630. doi: 10.1371/journal.pone.0222630. eCollection 2019.

DOI:10.1371/journal.pone.0222630
PMID:31721782
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6853287/
Abstract

Residential land is expanding in the United States, and lawn now covers more area than the country's leading irrigated crop by area. Given that lawns are widespread across diverse climatic regions and there is rising concern about the environmental impacts associated with their management, there is a clear need to understand the geographic variation, drivers, and outcomes of common yard care practices. We hypothesized that 1) income, age, and the number of neighbors known by name will be positively associated with the odds of having irrigated, fertilized, or applied pesticides in the last year, 2) irrigation, fertilization, and pesticide application will vary quadratically with population density, with the highest odds in suburban areas, and 3) the odds of irrigating will vary by climate, but fertilization and pesticide application will not. We used multi-level models to systematically address nested spatial scales within and across six U.S. metropolitan areas-Boston, Baltimore, Miami, Minneapolis-St. Paul, Phoenix, and Los Angeles. We found significant variation in yard care practices at the household (the relationship with income was positive), urban-exurban gradient (the relationship with population density was an inverted U), and regional scales (city-to-city variation). A multi-level modeling framework was useful for discerning these scale-dependent outcomes because this approach controls for autocorrelation at multiple spatial scales. Our findings may guide policies or programs seeking to mitigate the potentially deleterious outcomes associated with water use and chemical application, by identifying the subpopulations most likely to irrigate, fertilize, and/or apply pesticides.

摘要

美国的住宅用地正在扩张,草坪的占地面积现在超过了美国主要的灌溉作物。鉴于草坪广泛分布在不同的气候区,而且人们对与草坪管理相关的环境影响越来越关注,因此,很有必要了解常见庭院护理实践的地理差异、驱动因素和结果。我们假设:1)收入、年龄和认识的邻居数量与去年灌溉、施肥或使用农药的几率呈正相关;2)灌溉、施肥和农药的使用与人口密度呈二次关系,在郊区的几率最高;3)灌溉的几率因气候而异,但施肥和农药的使用则不会。我们使用多层模型系统地解决了六个美国大都市地区(波士顿、巴尔的摩、迈阿密、明尼阿波利斯-圣保罗、凤凰城和洛杉矶)内部和之间嵌套的空间尺度。我们发现庭院护理实践在家庭(与收入的关系是正相关)、城市-城市边缘梯度(与人口密度的关系是倒 U 型)和区域尺度(城市间的差异)上存在显著差异。多层次建模框架对于辨别这些依赖于尺度的结果很有用,因为这种方法控制了多个空间尺度的自相关。我们的研究结果可以为政策或项目提供指导,通过识别最有可能灌溉、施肥和/或使用农药的亚人群,以减轻与水利用和化学应用相关的潜在有害后果。

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