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Forests 2018, 9(8), 474; https://doi.org/10.3390/f9080474

Spatial Variation in Canopy Structure across Forest Landscapes

1
Department of Forestry & Natural Resources, Purdue University, West Lafayette, IN 47907, USA
2
Department of Ecological and Environmental Engineering, Purdue University, West Lafayette, IN 47907, USA
3
Department of Biology, Virginia Commonwealth University, Richmond, VA 23284, USA
4
Department of Natural Resources and the Environment and Center for Environmental Sciences and Engineering, University of Connecticut, Storrs, CT 06269, USA
*
Author to whom correspondence should be addressed.
Received: 21 June 2018 / Revised: 30 July 2018 / Accepted: 1 August 2018 / Published: 3 August 2018
(This article belongs to the Special Issue Defining, Quantifying, Observing and Modeling Forest Canopy Traits)
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Abstract

Forest canopy structure (CS) controls many ecosystem functions and is highly variable across landscapes, but the magnitude and scale of this variation is not well understood. We used a portable canopy LiDAR system to characterize variation in five categories of CS along N = 3 transects (140–800 m long) at each of six forested landscapes within the eastern USA. The cumulative coefficient of variation was calculated for subsegments of each transect to determine the point of stability for individual CS metrics. We then quantified the scale at which CS is autocorrelated using Moran’s I in an Incremental Autocorrelation analysis. All CS metrics reached stable values within 300 m but varied substantially within and among forested landscapes. A stable point of 300 m for CS metrics corresponds with the spatial extent that many ecosystem functions are measured and modeled. Additionally, CS metrics were spatially autocorrelated at 40 to 88 m, suggesting that patch scale disturbance or environmental factors drive these patterns. Our study shows CS is heterogeneous across temperate forest landscapes at the scale of 10 s of meters, requiring a resolution of this size for upscaling CS with remote sensing to large spatial scales. View Full-Text
Keywords: forest structure; macrosystems biology; portable canopy LiDAR; spatial variation; spatial autocorrelation forest structure; macrosystems biology; portable canopy LiDAR; spatial variation; spatial autocorrelation
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Hardiman, B.S.; LaRue, E.A.; Atkins, J.W.; Fahey, R.T.; Wagner, F.W.; Gough, C.M. Spatial Variation in Canopy Structure across Forest Landscapes. Forests 2018, 9, 474.

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