Climate Change Data Portal
DOI | 10.1016/j.scitotenv.2018.05.237 |
Climate differentiates forest structure across a residential macrosystem | |
Ossola, Alessandro1; Hopton, Matthew E.2 | |
发表日期 | 2018-10-15 |
ISSN | 0048-9697 |
卷号 | 639页码:1164-1174 |
英文摘要 | The extent of urban ecological homogenization depends on how humans build, inhabit, and manage cities. Morphological and socio-economic facets of neighborhoods can drive the homogenization of urban forest cover, thus affecting ecological and hydrological processes, and ecosystem services. Recent evidence, however, suggests that the same biophysical drivers differentiating composition and structure of natural forests can further counteract the homogenization of urban forests. We hypothesize that climate can differentiate forest structure across residential macrosystems at regional-to-continental spatial scales. To test this hypothesis, forest structure (tree and shrub cover and volume) was measured using LiDAR data and multispectral imagery across a residential macrosystem composed 1.4 million residential parcels contained in 9 cities and 1503 neighborhoods. Cities were selected along an evapotranspiration (ET) gradient in the conterminous United States, ranging from the colder continental climate of Fargo, North Dakota (ET = 464.43 mm) to the hotter subtropical climate of Tallahassee, Florida (ET = 1000.47 mm). The relative effects of climate, urban morphology, and socio-economic variables on residential forest structure were assessed by using generalized linear models. Climate differentiated forest structure of the residential macrosystem as hypothesized. Average forest cover doubled along the ET gradient (0.39-0.78 m(2) m(-2)), whereas average forest volume had a threefold increase (2.50-8.12 m(3) m(-2)). Forest volume across neighborhoods increased exponentially with forest cover. Urban morphology had a greater effect in homogenizing forest structure on residential parcels compared to socio-economics. Climate and urban morphology variables best predicted residential forest structure, whereas socio-economic variables had the lowest predictive power. Results indicate that climate can differentiate forest structure across residential macrosystems and may counteract the homogenizing effects of urban morphology and socio-economic drivers at city-wide scales. This resonates with recent empirical work suggesting the existence of complex multi-scalar mechanisms that regulate ecological homogenization and ecosystem convergence among cities. The study initiates high-resolution assessments of forest structure across entire urban macrosystems and breaks new ground for research on the ecological and hydrological significance of urban vegetation at subcontinental scale. Published by Elsevier B.V. |
英文关键词 | Green infrastructure;Socio-ecological systems;Urban ecology;Urban trees;Urban ecosystem convergence theory |
语种 | 英语 |
WOS记录号 | WOS:000436806200115 |
来源期刊 | SCIENCE OF THE TOTAL ENVIRONMENT
![]() |
来源机构 | 美国环保署 |
文献类型 | 期刊论文 |
条目标识符 | http://gcip.llas.ac.cn/handle/2XKMVOVA/57561 |
作者单位 | 1.Macquarie Univ, Dept Biol Sci, Ctr Smart Green Cities, Sydney, NSW 2109, Australia; 2.US EPA, Off Res & Dev, Natl Risk Management Res Lab, 26 W Martin Luther King Dr, Cincinnati, OH 45268 USA |
推荐引用方式 GB/T 7714 | Ossola, Alessandro,Hopton, Matthew E.. Climate differentiates forest structure across a residential macrosystem[J]. 美国环保署,2018,639:1164-1174. |
APA | Ossola, Alessandro,&Hopton, Matthew E..(2018).Climate differentiates forest structure across a residential macrosystem.SCIENCE OF THE TOTAL ENVIRONMENT,639,1164-1174. |
MLA | Ossola, Alessandro,et al."Climate differentiates forest structure across a residential macrosystem".SCIENCE OF THE TOTAL ENVIRONMENT 639(2018):1164-1174. |
条目包含的文件 | 条目无相关文件。 |
除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。