NDLI: Using high-resolution LiDAR data to quantify the three-dimensional structure of vegetation in urban green space

Content Provider	Springer Nature Link
Author	Caynes, Rhiann J. C. Mitchell, Matthew G. E. Wu, Dan Sabrina Johansen, Kasper Rhodes, Jonathan R.
Copyright Year	2016
Abstract	The spatial arrangement and vertical structure of vegetation in urban green spaces are key factors in determining the types of benefits that urban parks provide to people. This includes opportunities for recreation, spiritual fulfilment and biodiversity conservation. However, there has been little consideration of how the fine-scale spatial and vertical structure of vegetation is distributed in urban parks, primarily due to limitations in methods for doing so. We addressed this gap by developing a method using Light Detection and Ranging (LiDAR) data to map, at a fine resolution, tree cover, vegetation spatial arrangement, and vegetation vertical structure. We then applied this method to urban parks in Brisbane, Australia. We found that parks varied mainly in their amount of tree cover and its spatial arrangement, but also in vegetation vertical structure. Interestingly, the vertical structure of vegetation was largely independent of its cover and spatial arrangement. This suggests that vertical structure may be being managed independently to tree cover to provide different benefits across urban parks with different levels of tree cover. Finally, we were able to classify parks into three distinct classes that explicitly account for both the spatial and vertical structure of tree cover. Our approach for mapping the three-dimensional vegetation structure of urban green space provides a much more nuanced and functional description of urban parks than has previously been possible. Future research is now needed to quantify the relationships between vegetation structure and the actual benefits people derive from urban green space.
Starting Page	1749
Ending Page	1765
Page Count	17
File Format	PDF
ISSN	10838155
Journal	Urban Ecosystems
Volume Number	19
Issue Number	4
e-ISSN	15731642
Language	English
Publisher	Springer US
Publisher Date	2016-06-23
Publisher Place	New York
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Vegetation vertical structure Vegetation spatial structure Urban parks LiDAR Brisbane, Australia Remote sensing Urban Ecology Environmental Management Ecology Nature Conservation
Content Type	Text
Resource Type	Article
Subject	Ecology Urban Studies

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