USDA Forest Service Northern Research Station, Baltimore Field Station, UMBC, 5522 Research Park Drive, Baltimore, MD, 21228, USA,
Environ Manage. 2014 Sep;54(3):402-19. doi: 10.1007/s00267-014-0310-2. Epub 2014 Jul 18.
Several social theories have been proposed to explain the uneven distribution of vegetation in urban residential areas: population density, social stratification, luxury effect, and ecology of prestige. We evaluate these theories using a combination of demographic and socio-economic predictors of vegetative cover on all residential lands in New York City. We use diverse data sources including the City's property database, time-series demographic and socio-economic data from the US Census, and land cover data from the University of Vermont's Spatial Analysis Lab (SAL). These data are analyzed using a multi-model inferential, spatial econometrics approach. We also examine the distribution of vegetation within distinct market categories using Claritas' Potential Rating Index for Zipcode Markets (PRIZM™) database. These categories can be disaggregated, corresponding to the four social theories. We compare the econometric and categorical results for validation. Models associated with ecology of prestige theory are more effective for predicting the distribution of vegetation. This suggests that private, residential patterns of vegetation, reflecting the consumption of environmentally relevant goods and services, are associated with different lifestyles and lifestages. Further, our spatial and temporal analyses suggest that there are significant spatial and temporal dependencies that have theoretical and methodological implications for understanding urban ecological systems. These findings may have policy implications. Decision makers may need to consider how to most effectively reach different social groups in terms of messages and messengers in order to advance land management practices and achieve urban sustainability.
人口密度、社会分层、奢侈品效应和名誉生态学。我们使用人口统计学和社会经济预测指标的组合,对纽约市所有住宅区的植被覆盖情况进行评估。我们使用了多种数据源,包括城市的房地产数据库、美国人口普查的时间序列人口统计学和社会经济数据,以及佛蒙特大学空间分析实验室(SAL)的土地覆盖数据。这些数据采用多模型推断、空间计量经济学方法进行分析。我们还使用 Claritas 的邮政编码市场潜在评级指数(PRIZM™)数据库检查了不同市场类别的植被分布情况。这些类别可以细分,对应于四种社会理论。我们比较了计量经济学和分类结果以进行验证。与名誉生态学理论相关的模型更有效地预测了植被的分布。这表明,反映对环境相关商品和服务的消费的私人、住宅式植被模式与不同的生活方式和生活阶段有关。此外,我们的时空分析表明,存在显著的时空依赖性,这对理解城市生态系统具有理论和方法上的意义。这些发现可能具有政策意义。决策者可能需要考虑如何在信息和信息传递方面最有效地接触到不同的社会群体,以推进土地管理实践并实现城市可持续性。