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

Hill, Steven und Latifi, Hooman und Heurich, Marco und 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), Seiten 12-25. Elsevier. doi: 10.1016/j.ecoinf.2016.12.004. ISSN 1574-9541.

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

Kurzfassung

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.

elib-URL des Eintrags:https://elib.dlr.de/110991/
Dokumentart:Zeitschriftenbeitrag
Titel:Individual-tree- and stand-based development following natural disturbance in a heterogeneously structured forest: A LiDAR-based approach
Autoren:
AutorenInstitution oder E-Mail-AdresseAutoren-ORCID-iDORCID Put Code
Hill, Stevensteven.hill (at) uni-wuerzburg.deNICHT SPEZIFIZIERTNICHT SPEZIFIZIERT
Latifi, Hoomanhooman.latifi (at) uni-wuerzburg.deNICHT SPEZIFIZIERTNICHT SPEZIFIZIERT
Heurich, Marcomarco.heurich (at) npv-bw.bayern.deNICHT SPEZIFIZIERTNICHT SPEZIFIZIERT
Müller, Jörgbavarian forest national park, department of researchNICHT SPEZIFIZIERTNICHT SPEZIFIZIERT
Datum:März 2017
Erschienen in:Ecological Informatics
Referierte Publikation:Ja
Open Access:Nein
Gold Open Access:Nein
In SCOPUS:Ja
In ISI Web of Science:Ja
Band:2017
DOI:10.1016/j.ecoinf.2016.12.004
Seitenbereich:Seiten 12-25
Verlag:Elsevier
ISSN:1574-9541
Status:veröffentlicht
Stichwörter:Forest disturbance, Forest development, LiDAR, Aerial imagery, Growth modeling, Spatial point pattern analysis
HGF - Forschungsbereich:Luftfahrt, Raumfahrt und Verkehr
HGF - Programm:Raumfahrt
HGF - Programmthema:Erdbeobachtung
DLR - Schwerpunkt:Raumfahrt
DLR - Forschungsgebiet:R EO - Erdbeobachtung
DLR - Teilgebiet (Projekt, Vorhaben):R - Geowissenschaftl. Fernerkundungs- und GIS-Verfahren
Standort: Oberpfaffenhofen
Institute & Einrichtungen:Deutsches Fernerkundungsdatenzentrum
Hinterlegt von: Wöhrl, Monika
Hinterlegt am:13 Feb 2017 09:52
Letzte Änderung:06 Sep 2019 15:21

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