Handheld Laser Scanning Detects Spatiotemporal Differences in the Development of Structural Traits among Species in Restoration Plantings
A major challenge in ecological restoration is assessing the success of restoration plantings in producing habitats that provide the desired ecosystem functions and services. Forest structural complexity and biomass accumulation are key measures used to monitor restoration success and are important...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2021-04-01
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| Series: | Remote Sensing |
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| Online Access: | https://www.mdpi.com/2072-4292/13/9/1706 |
| _version_ | 1797535997052846080 |
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| author | Nicolò Camarretta Peter A. Harrison Arko Lucieer Brad M. Potts Neil Davidson Mark Hunt |
| author_facet | Nicolò Camarretta Peter A. Harrison Arko Lucieer Brad M. Potts Neil Davidson Mark Hunt |
| author_sort | Nicolò Camarretta |
| collection | DOAJ |
| description | A major challenge in ecological restoration is assessing the success of restoration plantings in producing habitats that provide the desired ecosystem functions and services. Forest structural complexity and biomass accumulation are key measures used to monitor restoration success and are important factors determining animal habitat availability and carbon sequestration. Monitoring their development through time using traditional field measurements can be costly and impractical, particularly at the landscape-scale, which is a common requirement in ecological restoration. We explored the application of proximal sensing technology as an alternative to traditional field surveys to capture the development of key forest structural traits in a restoration planting in the Midlands of Tasmania, Australia. We report the use of a hand-held laser scanner (ZEB1) to measure annual changes in structural traits at the tree-level, in a mixed species common-garden experiment from seven- to nine-years after planting. Using very dense point clouds, we derived estimates of multiple structural traits, including above ground biomass, tree height, stem diameter, crown dimensions, and crown properties. We detected annual increases in most LiDAR-derived traits, with individual crowns becoming increasingly interconnected. Time by species interaction were detected, and were associated with differences in productivity between species. We show the potential for remote sensing technology to monitor temporal changes in forest structural traits, as well as to provide base-line measures from which to assess the restoration trajectory towards a desired state. |
| first_indexed | 2024-03-10T11:52:21Z |
| format | Article |
| id | doaj.art-b15d6d95eb2541c8a76328cc0127ae9e |
| institution | Directory Open Access Journal |
| issn | 2072-4292 |
| language | English |
| last_indexed | 2024-03-10T11:52:21Z |
| publishDate | 2021-04-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Remote Sensing |
| spelling | doaj.art-b15d6d95eb2541c8a76328cc0127ae9e2023-11-21T17:35:07ZengMDPI AGRemote Sensing2072-42922021-04-01139170610.3390/rs13091706Handheld Laser Scanning Detects Spatiotemporal Differences in the Development of Structural Traits among Species in Restoration PlantingsNicolò Camarretta0Peter A. Harrison1Arko Lucieer2Brad M. Potts3Neil Davidson4Mark Hunt5Bioclimatology, Faculty of Forest Sciences and Forest Ecology, University of Goettingen, 37077 Göttingen, GermanySchool of Natural Sciences & ARC Training Centre for Forest Value, University of Tasmania, Hobart 7001, AustraliaSchool of Geography, Planning and Spatial Sciences, University of Tasmania, Hobart 7001, AustraliaSchool of Natural Sciences & ARC Training Centre for Forest Value, University of Tasmania, Hobart 7001, AustraliaGreening Australia, Mount Nelson 7007, AustraliaSchool of Natural Sciences & ARC Training Centre for Forest Value, University of Tasmania, Hobart 7001, AustraliaA major challenge in ecological restoration is assessing the success of restoration plantings in producing habitats that provide the desired ecosystem functions and services. Forest structural complexity and biomass accumulation are key measures used to monitor restoration success and are important factors determining animal habitat availability and carbon sequestration. Monitoring their development through time using traditional field measurements can be costly and impractical, particularly at the landscape-scale, which is a common requirement in ecological restoration. We explored the application of proximal sensing technology as an alternative to traditional field surveys to capture the development of key forest structural traits in a restoration planting in the Midlands of Tasmania, Australia. We report the use of a hand-held laser scanner (ZEB1) to measure annual changes in structural traits at the tree-level, in a mixed species common-garden experiment from seven- to nine-years after planting. Using very dense point clouds, we derived estimates of multiple structural traits, including above ground biomass, tree height, stem diameter, crown dimensions, and crown properties. We detected annual increases in most LiDAR-derived traits, with individual crowns becoming increasingly interconnected. Time by species interaction were detected, and were associated with differences in productivity between species. We show the potential for remote sensing technology to monitor temporal changes in forest structural traits, as well as to provide base-line measures from which to assess the restoration trajectory towards a desired state.https://www.mdpi.com/2072-4292/13/9/1706hand-held laser scanningZEB1LiDARstructural attributesspecies variationindividual tree |
| spellingShingle | Nicolò Camarretta Peter A. Harrison Arko Lucieer Brad M. Potts Neil Davidson Mark Hunt Handheld Laser Scanning Detects Spatiotemporal Differences in the Development of Structural Traits among Species in Restoration Plantings Remote Sensing hand-held laser scanning ZEB1 LiDAR structural attributes species variation individual tree |
| title | Handheld Laser Scanning Detects Spatiotemporal Differences in the Development of Structural Traits among Species in Restoration Plantings |
| title_full | Handheld Laser Scanning Detects Spatiotemporal Differences in the Development of Structural Traits among Species in Restoration Plantings |
| title_fullStr | Handheld Laser Scanning Detects Spatiotemporal Differences in the Development of Structural Traits among Species in Restoration Plantings |
| title_full_unstemmed | Handheld Laser Scanning Detects Spatiotemporal Differences in the Development of Structural Traits among Species in Restoration Plantings |
| title_short | Handheld Laser Scanning Detects Spatiotemporal Differences in the Development of Structural Traits among Species in Restoration Plantings |
| title_sort | handheld laser scanning detects spatiotemporal differences in the development of structural traits among species in restoration plantings |
| topic | hand-held laser scanning ZEB1 LiDAR structural attributes species variation individual tree |
| url | https://www.mdpi.com/2072-4292/13/9/1706 |
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