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Individual-tree- and stand-based development following natural disturbance in a heterogeneously structured forest: A LiDAR-based approach

Hill, Steven and Latifi, Hooman and Heurich, Marco and Müller, Jörg (2017) Individual-tree- and stand-based development following natural disturbance in a heterogeneously structured forest: A LiDAR-based approach. Ecological Informatics, 2017 (38), pp. 12-25. Elsevier. DOI: 10.1016/j.ecoinf.2016.12.004 ISSN 1574-9541

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Official URL: http://www.sciencedirect.com/science/article/pii/S1574954116301339

Abstract

Large-scale severe natural disturbance events drive spatial and temporal patterns of forests by altering forest structure, composition, and functions. In the Bavarian Forest National Park in Germany, windthrow events led to large disturbances caused by the European bark beetle (Ips typographus L.). Until recently, it was assumed that at the initial stage of regeneration, trees tend to form a homogeneous stand structure, whereas structural heterogeneity is an attribute of later developmental stages. Yet recent studies provide evidence that under certain conditions structural heterogeneity can arise much earlier in stand development. Here we combined LiDAR data and forest growth modeling based on individual trees to develop a workflow for studying forest development in post-disturbed areas in the upper montane regions of the national park. The current forest structure was derived from LiDAR data of individually detected trees and a set of forest structural attributes were derived. The results served as input to simulate tree development spatio-temporally for a period of 80 years. Several spatial statistics, including landscape and spatial point pattern metrics, were calculated to assess the structural heterogeneity. The results showed that naturally regenerating forests on post-disturbed sites reveal structural heterogeneity already at the early-seral stage. Moreover, a significant portion of the eventual old-growth structural heterogeneity might already be determined in the early successional stages. Our workflow highlights the use of multi-sensor aerial remote sensing to provide detailed structural information useful for the investigation of early-phase forest dynamics.

Item URL in elib:https://elib.dlr.de/110991/
Document Type:Article
Title:Individual-tree- and stand-based development following natural disturbance in a heterogeneously structured forest: A LiDAR-based approach
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Hill, Stevensteven.hill (at) uni-wuerzburg.deUNSPECIFIED
Latifi, Hoomanhooman.latifi (at) uni-wuerzburg.deUNSPECIFIED
Heurich, Marcomarco.heurich (at) npv-bw.bayern.deUNSPECIFIED
Müller, Jörgbavarian forest national park, department of researchUNSPECIFIED
Date:March 2017
Journal or Publication Title:Ecological Informatics
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In SCOPUS:Yes
In ISI Web of Science:Yes
Volume:2017
DOI :10.1016/j.ecoinf.2016.12.004
Page Range:pp. 12-25
Publisher:Elsevier
ISSN:1574-9541
Status:Published
Keywords:Forest disturbance, Forest development, LiDAR, Aerial imagery, Growth modeling, Spatial point pattern analysis
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Earth Observation
DLR - Research area:Raumfahrt
DLR - Program:R EO - Erdbeobachtung
DLR - Research theme (Project):R - Vorhaben Geowissenschaftl. Fernerkundungs- und GIS-Verfahren
Location: Oberpfaffenhofen
Institutes and Institutions:German Remote Sensing Data Center
Deposited By: Wöhrl, Monika
Deposited On:13 Feb 2017 09:52
Last Modified:06 Sep 2019 15:21

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