StrucNet: a global network for automated vegetation structure monitoring

Calders, K; Brede, B; Newnham, G; Culvenor, D; Armston, J; Bartholomeus, H; Griebel, A; Hayward, J; Junttila, S; Lau, A; Levick, S; Morrone, R; Origo, N; Pfeifer, M; Verbesselt, J; Herold, M

StrucNet: a global network for automated vegetation structure monitoring

Calders, K Brede, B Newnham, G Culvenor, D Armston, J Bartholomeus, H Griebel, A

Hayward, J Junttila, S Lau, A Levick, S Morrone, R Origo, N Pfeifer, M Verbesselt, J Herold, M

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Publisher:: WILEY
Publication Type:: Journal Article
Citation:: Remote Sensing in Ecology and Conservation, 2023, 9, (5), pp. 587-598
Issue Date:: 2023-10-01

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Field	Value	Language
dc.contributor.author	Calders, K
dc.contributor.author	Brede, B
dc.contributor.author	Newnham, G
dc.contributor.author	Culvenor, D
dc.contributor.author	Armston, J
dc.contributor.author	Bartholomeus, H
dc.contributor.author	Griebel, A https://orcid.org/0000-0002-4476-8279
dc.contributor.author	Hayward, J
dc.contributor.author	Junttila, S
dc.contributor.author	Lau, A
dc.contributor.author	Levick, S
dc.contributor.author	Morrone, R
dc.contributor.author	Origo, N
dc.contributor.author	Pfeifer, M
dc.contributor.author	Verbesselt, J
dc.contributor.author	Herold, M
dc.contributor.editor	Sankey, T
dc.contributor.editor	Murray, N
dc.date.accessioned	2024-01-17T07:02:03Z
dc.date.available	2024-01-17T07:02:03Z
dc.date.issued	2023-10-01
dc.identifier.citation	Remote Sensing in Ecology and Conservation, 2023, 9, (5), pp. 587-598
dc.identifier.issn	2056-3485
dc.identifier.issn	2056-3485
dc.identifier.uri	http://hdl.handle.net/10453/174726
dc.description.abstract	Climate change and increasing human activities are impacting ecosystems and their biodiversity. Quantitative measurements of essential biodiversity variables (EBV) and essential climate variables are used to monitor biodiversity and carbon dynamics and evaluate policy and management interventions. Ecosystem structure is at the core of EBVs and carbon stock estimation and can help to inform assessments of species and species diversity. Ecosystem structure is also used as an indirect indicator of habitat quality and expected species richness or species community composition. Spaceborne measurements can provide large-scale insight into monitoring the structural dynamics of ecosystems, but they generally lack consistent, robust, timely and detailed information regarding their full three-dimensional vegetation structure at local scales. Here we demonstrate the potential of high-frequency ground-based laser scanning to systematically monitor structural changes in vegetation. We present a proof-of-concept high-temporal ecosystem structure time series of 5 years in a temperate forest using terrestrial laser scanning (TLS). We also present data from automated high-temporal laser scanning that can allow upscaling of vegetation structure scanning, overcoming the limitations of a typically opportunistic TLS measurement approach. Automated monitoring will be a critical component to build a network of field monitoring sites that can provide the required calibration data for satellite missions to effectively monitor the structural dynamics of vegetation over large areas. Within this perspective, we reflect on how this network could be designed and discuss implementation pathways.
dc.language	English
dc.publisher	WILEY
dc.relation.ispartof	Remote Sensing in Ecology and Conservation
dc.relation.isbasedon	10.1002/rse2.333
dc.rights	info:eu-repo/semantics/openAccess
dc.subject	0502 Environmental Science and Management, 0602 Ecology
dc.subject.classification	3103 Ecology
dc.subject.classification	4104 Environmental management
dc.title	StrucNet: a global network for automated vegetation structure monitoring
dc.type	Journal Article
utslib.citation.volume	9
utslib.for	0502 Environmental Science and Management
utslib.for	0602 Ecology
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Science
pubs.organisational-group	/University of Technology Sydney/Faculty of Science/School of Life Sciences
utslib.copyright.status	open_access	*
dc.date.updated	2024-01-17T07:02:02Z
pubs.issue	5
pubs.publication-status	Published
pubs.volume	9
utslib.citation.issue	5

Abstract:

Climate change and increasing human activities are impacting ecosystems and their biodiversity. Quantitative measurements of essential biodiversity variables (EBV) and essential climate variables are used to monitor biodiversity and carbon dynamics and evaluate policy and management interventions. Ecosystem structure is at the core of EBVs and carbon stock estimation and can help to inform assessments of species and species diversity. Ecosystem structure is also used as an indirect indicator of habitat quality and expected species richness or species community composition. Spaceborne measurements can provide large-scale insight into monitoring the structural dynamics of ecosystems, but they generally lack consistent, robust, timely and detailed information regarding their full three-dimensional vegetation structure at local scales. Here we demonstrate the potential of high-frequency ground-based laser scanning to systematically monitor structural changes in vegetation. We present a proof-of-concept high-temporal ecosystem structure time series of 5 years in a temperate forest using terrestrial laser scanning (TLS). We also present data from automated high-temporal laser scanning that can allow upscaling of vegetation structure scanning, overcoming the limitations of a typically opportunistic TLS measurement approach. Automated monitoring will be a critical component to build a network of field monitoring sites that can provide the required calibration data for satellite missions to effectively monitor the structural dynamics of vegetation over large areas. Within this perspective, we reflect on how this network could be designed and discuss implementation pathways.

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http://hdl.handle.net/10453/174726