Analysing gap dynamics in forest canopies with landscape metrics based on multi-temporal airborne laser scanning surveys – A pilot study

For a long time gaps or openings in the forest canopy have been of considerable interest to forest ecologists and to forest managers. In the context of disturbances induced by climate change, canopy gap dynamics are of particular interest, since they can indicate imminent damage to forest resources...

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Main Authors: Niklas Hagemann, Paul Magdon, Sebastian Schnell, Arne Pommerening
Format: Article
Language:English
Published: Elsevier 2022-12-01
Series:Ecological Indicators
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S1470160X22011001
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author Niklas Hagemann
Paul Magdon
Sebastian Schnell
Arne Pommerening
author_facet Niklas Hagemann
Paul Magdon
Sebastian Schnell
Arne Pommerening
author_sort Niklas Hagemann
collection DOAJ
description For a long time gaps or openings in the forest canopy have been of considerable interest to forest ecologists and to forest managers. In the context of disturbances induced by climate change, canopy gap dynamics are of particular interest, since they can indicate imminent damage to forest resources and irreversible trends such as forest decline. Here, statistical significance is crucial for establishing whether any imminent large-scale threat to the sustainability of forest resources exists. In order to be able to assess significance, we applied the Boolean model, a null or reference model from random set statistics. The Boolean model served as a theoretical benchmark for testing the significance of the observed trends in forest canopy gap dynamics. As a pilot study we analysed airborne laser scan (ALS) data collected in the Krycklan catchment area (Northern Sweden) in 2006 and 2015. The data were analysed using eight different landscape metrics. Despite the moderate resolution of our ALS data the landscape metrics have proved to be useful tools for monitoring canopy gap dynamics of forest ecosystems. The Boolean model has been successful in ascertaining statistical significance and the model parameters indicated important trends. In the Krycklan catchment area, there was no significant trend of canopy gap dynamics indicating any harmful development between 2006 and 2015. On the contrary, we found evidence for gaps closing in and gap locations becoming more random whilst the canopy cover increased between the two survey years.
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spelling doaj.art-6e6b95fd2ff5495c89a3012297506f742022-12-22T03:47:50ZengElsevierEcological Indicators1470-160X2022-12-01145109627Analysing gap dynamics in forest canopies with landscape metrics based on multi-temporal airborne laser scanning surveys – A pilot studyNiklas Hagemann0Paul Magdon1Sebastian Schnell2Arne Pommerening3Swedish University of Agricultural Sciences SLU, Faculty of Forest Sciences, Department of Forest Ecology and Management, Skogsmarksgränd 17, SE-901 83 Umeå, Sweden; Mathematical Institute, Heinrich-Heine-University Düsseldorf, Universitätsstraße 1, D-40225 Düsseldorf, GermanyFaculty of Resource Management HAWK, University of Applied Sciences and Arts, Büsgenweg 1a, D-37077 Göttingen, GermanyThünen Institute of Forest Ecosystems, Alfred-Möller-Straße 1, D-16225 Eberswalde, GermanySwedish University of Agricultural Sciences SLU, Faculty of Forest Sciences, Department of Forest Ecology and Management, Skogsmarksgränd 17, SE-901 83 Umeå, Sweden; Corresponding author.For a long time gaps or openings in the forest canopy have been of considerable interest to forest ecologists and to forest managers. In the context of disturbances induced by climate change, canopy gap dynamics are of particular interest, since they can indicate imminent damage to forest resources and irreversible trends such as forest decline. Here, statistical significance is crucial for establishing whether any imminent large-scale threat to the sustainability of forest resources exists. In order to be able to assess significance, we applied the Boolean model, a null or reference model from random set statistics. The Boolean model served as a theoretical benchmark for testing the significance of the observed trends in forest canopy gap dynamics. As a pilot study we analysed airborne laser scan (ALS) data collected in the Krycklan catchment area (Northern Sweden) in 2006 and 2015. The data were analysed using eight different landscape metrics. Despite the moderate resolution of our ALS data the landscape metrics have proved to be useful tools for monitoring canopy gap dynamics of forest ecosystems. The Boolean model has been successful in ascertaining statistical significance and the model parameters indicated important trends. In the Krycklan catchment area, there was no significant trend of canopy gap dynamics indicating any harmful development between 2006 and 2015. On the contrary, we found evidence for gaps closing in and gap locations becoming more random whilst the canopy cover increased between the two survey years.http://www.sciencedirect.com/science/article/pii/S1470160X22011001Disturbance ecologyRemote sensingAirborne laser scanning data (ALS)Boolean modelRandom set statisticsKrycklan
spellingShingle Niklas Hagemann
Paul Magdon
Sebastian Schnell
Arne Pommerening
Analysing gap dynamics in forest canopies with landscape metrics based on multi-temporal airborne laser scanning surveys – A pilot study
Ecological Indicators
Disturbance ecology
Remote sensing
Airborne laser scanning data (ALS)
Boolean model
Random set statistics
Krycklan
title Analysing gap dynamics in forest canopies with landscape metrics based on multi-temporal airborne laser scanning surveys – A pilot study
title_full Analysing gap dynamics in forest canopies with landscape metrics based on multi-temporal airborne laser scanning surveys – A pilot study
title_fullStr Analysing gap dynamics in forest canopies with landscape metrics based on multi-temporal airborne laser scanning surveys – A pilot study
title_full_unstemmed Analysing gap dynamics in forest canopies with landscape metrics based on multi-temporal airborne laser scanning surveys – A pilot study
title_short Analysing gap dynamics in forest canopies with landscape metrics based on multi-temporal airborne laser scanning surveys – A pilot study
title_sort analysing gap dynamics in forest canopies with landscape metrics based on multi temporal airborne laser scanning surveys a pilot study
topic Disturbance ecology
Remote sensing
Airborne laser scanning data (ALS)
Boolean model
Random set statistics
Krycklan
url http://www.sciencedirect.com/science/article/pii/S1470160X22011001
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