{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,13]],"date-time":"2026-02-13T20:56:42Z","timestamp":1771016202339,"version":"3.50.1"},"reference-count":58,"publisher":"MDPI AG","issue":"9","license":[{"start":{"date-parts":[[2021,4,28]],"date-time":"2021-04-28T00:00:00Z","timestamp":1619568000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"Australian Research Council (ARC) Linkage Grant","award":["LP0991026"],"award-info":[{"award-number":["LP0991026"]}]},{"name":"ARC Industrial Transformation Training Centre for Forest Value","award":["IC150100004"],"award-info":[{"award-number":["IC150100004"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>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.<\/jats:p>","DOI":"10.3390\/rs13091706","type":"journal-article","created":{"date-parts":[[2021,4,28]],"date-time":"2021-04-28T22:29:07Z","timestamp":1619648947000},"page":"1706","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":11,"title":["Handheld Laser Scanning Detects Spatiotemporal Differences in the Development of Structural Traits among Species in Restoration Plantings"],"prefix":"10.3390","volume":"13","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-7520-126X","authenticated-orcid":false,"given":"Nicol\u00f2","family":"Camarretta","sequence":"first","affiliation":[{"name":"Bioclimatology, Faculty of Forest Sciences and Forest Ecology, University of Goettingen, 37077 G\u00f6ttingen, Germany"},{"name":"School of Natural Sciences &amp; ARC Training Centre for Forest Value, University of Tasmania, Hobart 7001, Australia"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3502-0242","authenticated-orcid":false,"given":"Peter A.","family":"Harrison","sequence":"additional","affiliation":[{"name":"School of Natural Sciences &amp; ARC Training Centre for Forest Value, University of Tasmania, Hobart 7001, Australia"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9468-4516","authenticated-orcid":false,"given":"Arko","family":"Lucieer","sequence":"additional","affiliation":[{"name":"School of Geography, Planning and Spatial Sciences, University of Tasmania, Hobart 7001, Australia"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6244-289X","authenticated-orcid":false,"given":"Brad M.","family":"Potts","sequence":"additional","affiliation":[{"name":"School of Natural Sciences &amp; ARC Training Centre for Forest Value, University of Tasmania, Hobart 7001, Australia"}]},{"given":"Neil","family":"Davidson","sequence":"additional","affiliation":[{"name":"Greening Australia, Mount Nelson 7007, Australia"}]},{"given":"Mark","family":"Hunt","sequence":"additional","affiliation":[{"name":"School of Natural Sciences &amp; ARC Training Centre for Forest Value, University of Tasmania, Hobart 7001, Australia"}]}],"member":"1968","published-online":{"date-parts":[[2021,4,28]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"art131","DOI":"10.1890\/ES15-00121.1","article-title":"Advances in restoration ecology: Rising to the challenges of the coming decades","volume":"6","author":"Perring","year":"2015","journal-title":"Ecosphere"},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"58","DOI":"10.1016\/j.ecolind.2016.02.035","article-title":"Floristic quality index for woodland ground flora restoration: Utility and effectiveness in a fire-managed landscape","volume":"67","author":"Maginel","year":"2016","journal-title":"Ecol. Indic."},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"355","DOI":"10.1111\/j.1523-1739.1990.tb00309.x","article-title":"Indicators for monitoring biodiversity: A hierarchical approach","volume":"4","author":"Noss","year":"1990","journal-title":"Conserv. Biol."},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.foreco.2005.08.034","article-title":"Forest and woodland stand structural complexity: Its definition and measurement","volume":"218","author":"McElhinny","year":"2005","journal-title":"For. Ecol. Manag."},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"20152347","DOI":"10.1098\/rspb.2015.2347","article-title":"Corridors restore animal-mediated pollination in fragmented tropical forest landscapes","volume":"283","author":"Kormann","year":"2016","journal-title":"Proc. R. Soc. B Biol. Sci."},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"1458","DOI":"10.1126\/science.1155365","article-title":"Beyond Deforestation: Restoring Forests and Ecosystem Services on Degraded Lands","volume":"320","author":"Chazdon","year":"2008","journal-title":"Science"},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"594","DOI":"10.2307\/1932254","article-title":"On bird species diversity","volume":"42","author":"MacArthur","year":"1961","journal-title":"Ecology"},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"8307","DOI":"10.1073\/pnas.1706780114","article-title":"Canopy structure drives orangutan habitat selection in disturbed Bornean forests","volume":"114","author":"Davies","year":"2017","journal-title":"Proc. Natl. Acad. Sci. USA"},{"key":"ref_9","doi-asserted-by":"crossref","unstructured":"Camarretta, N., Harrison, P.A., Bailey, T., Potts, B., Lucieer, A., Davidson, N., and Hunt, M. (2019). Monitoring forest structure to guide adaptive management of forest restoration: A review of remote sensing approaches. New For., 1\u201324.","DOI":"10.1007\/s11056-019-09754-5"},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"S147","DOI":"10.1111\/rec.12448","article-title":"Remote sensing for restoration planning: How the big picture can inform stakeholders","volume":"25","author":"Cordell","year":"2017","journal-title":"Restor. Ecol."},{"key":"ref_11","doi-asserted-by":"crossref","unstructured":"Camarretta, N., A Harrison, P., Lucieer, A., M Potts, B., Davidson, N., and Hunt, M. (2020). From Drones to Phenotype: Using UAV-LiDAR to Detect Species and Provenance Variation in Tree Productivity and Structure. Remote Sens., 12.","DOI":"10.3390\/rs12193184"},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"393","DOI":"10.5194\/isprs-archives-XLII-2-W6-393-2017","article-title":"Potential of multi-temporal UAV-borne lidar in assessing effectiveness of silvicultural treatments","volume":"42","author":"Vepakomma","year":"2017","journal-title":"Int. Arch. Photogramm. Remote Sens. Spat. Inf. Sci. ISPRS Arch."},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"3079","DOI":"10.1016\/j.rse.2008.03.004","article-title":"Estimation of above- and below-ground biomass across regions of the boreal forest zone using airborne laser","volume":"112","author":"Gobakken","year":"2008","journal-title":"Remote Sens. Environ."},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"663","DOI":"10.1016\/j.jenvman.2016.08.042","article-title":"The potential for LiDAR technology to map fire fuel hazard over large areas of Australian forest","volume":"181","author":"Price","year":"2016","journal-title":"J. Environ. Manag."},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"320","DOI":"10.1002\/rse2.82","article-title":"Measuring plot scale woodland structure using terrestrial laser scanning","volume":"4","author":"Muir","year":"2018","journal-title":"Remote Sens. Ecol. Conserv."},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"142","DOI":"10.1016\/j.envsoft.2016.04.025","article-title":"Deriving comprehensive forest structure information from mobile laser scanning observations using automated point cloud classification","volume":"82","author":"Marselis","year":"2016","journal-title":"Environ. Model. Softw."},{"key":"ref_17","doi-asserted-by":"crossref","unstructured":"Bauwens, S., Bartholomeus, H., Calders, K., and Lejeune, P. (2016). Forest inventory with terrestrial LiDAR: A comparison of static and hand-held mobile laser scanning. Forests, 7.","DOI":"10.3390\/f7060127"},{"key":"ref_18","doi-asserted-by":"crossref","unstructured":"Ryding, J., Williams, E., Smith, M., and Eichhorn, M. (2015). Assessing handheld mobile laser scanners for forest surveys. Remote Sens., 7.","DOI":"10.3390\/rs70101095"},{"key":"ref_19","doi-asserted-by":"crossref","unstructured":"Jaakkola, A., Hyypp\u00e4, J., Yu, X., Kukko, A., Kaartinen, H., Liang, X., Hyypp\u00e4, H., and Wang, Y. (2017). Autonomous collection of forest field reference\u2014The outlook and a first step with UAV laser scanning. Remote Sens., 9.","DOI":"10.3390\/rs9080785"},{"key":"ref_20","first-page":"999","article-title":"Embedding genetics experiments in restoration to assist in plant choice for a degraded landscape with a changing climate","volume":"999","author":"Bailey","year":"2021","journal-title":"Ecol. Manag. Restor."},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"447","DOI":"10.1111\/rec.13098","article-title":"Stability of species and provenance performance when translocated into different community assemblages","volume":"28","author":"Camarretta","year":"2020","journal-title":"Restor. Ecol."},{"key":"ref_22","unstructured":"GEOSLAM (2015). ZEB1 User Guide, GeoSLAM Ltd.. v3.0.1."},{"key":"ref_23","unstructured":"R Core Team (2017, January 09). R: A Language and Environment for Statistical Computing. Available online: https:\/\/www.r-project.org."},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"177","DOI":"10.1111\/gcb.13388","article-title":"Allometric equations for integrating remote sensing imagery into forest monitoring programmes","volume":"23","author":"Jucker","year":"2017","journal-title":"Glob. Chang. Biol."},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"1347","DOI":"10.1111\/2041-210X.13211","article-title":"ForestGapR: An r Package for forest gap analysis from canopy height models","volume":"10","author":"Silva","year":"2019","journal-title":"Methods Ecol. Evol."},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"205","DOI":"10.2307\/1400366","article-title":"Heterogeneous variance-covariance structures for repeated measures","volume":"1","author":"Wolfinger","year":"1996","journal-title":"J. Agric. Biol. Environ. Stat."},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"289","DOI":"10.1007\/BF00140873","article-title":"Unconstrained parametrizations for variance-covariance matrices","volume":"6","author":"Pinheiro","year":"1996","journal-title":"Stat. Comput."},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"636","DOI":"10.1111\/2041-210X.12577","article-title":"A protocol for conducting and presenting results of regression-type analyses","volume":"7","author":"Zuur","year":"2016","journal-title":"Methods Ecol. Evol."},{"key":"ref_29","doi-asserted-by":"crossref","unstructured":"Del Perugia, B., Giannetti, F., Chirici, G., and Travaglini, D. (2019). Influence of scan density on the estimation of single-tree attributes by hand-held mobile laser scanning. Forests, 10.","DOI":"10.3390\/f10030277"},{"key":"ref_30","doi-asserted-by":"crossref","unstructured":"Tompalski, P., Rakofsky, J., Coops, N.C., White, J.C., Graham, A.N.V., and Rosychuk, K. (2019). Challenges of multi-temporal and multi-sensor forest growth analyses in a highly disturbed boreal mixedwood forests. Remote Sens., 11.","DOI":"10.3390\/rs11182102"},{"key":"ref_31","doi-asserted-by":"crossref","unstructured":"Hyypp\u00e4, E., Yu, X., Kaartinen, H., Hakala, T., Kukko, A., Vastaranta, M., and Hyypp\u00e4, J. (2020). Comparison of backpack, handheld, under-canopy UAV, and above-canopy UAV laser scanning for field reference data collection in boreal forests. Remote Sens., 12.","DOI":"10.3390\/rs12203327"},{"key":"ref_32","doi-asserted-by":"crossref","unstructured":"Puletti, N., Grotti, M., and Scotti, R. (2019). Evaluating the Eccentricities of Poplar Stem Profiles with Terrestrial Laser Scanning. Forests, 10.","DOI":"10.3390\/f10030239"},{"key":"ref_33","doi-asserted-by":"crossref","unstructured":"Krisanski, S., Taskhiri, M.S., and Turner, P. (2020). Enhancing methods for under-canopy unmanned aircraft system based photogrammetry in complex forests for tree diameter measurement. Remote Sens., 12.","DOI":"10.3390\/rs12101652"},{"key":"ref_34","doi-asserted-by":"crossref","first-page":"1168","DOI":"10.1109\/TGRS.2018.2865014","article-title":"A local projection-based approach to individual tree detection and 3-d crown delineation in multistoried coniferous forests using high-density airborne LiDAR data","volume":"57","author":"Harikumar","year":"2019","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_35","doi-asserted-by":"crossref","first-page":"5611","DOI":"10.1002\/ece3.4089","article-title":"How to map forest structure from aircraft, one tree at a time","volume":"8","author":"Dalponte","year":"2018","journal-title":"Ecol. Evol."},{"key":"ref_36","doi-asserted-by":"crossref","first-page":"950","DOI":"10.3390\/rs4040950","article-title":"An international comparison of individual tree detection and extraction using airborne laser scanning","volume":"4","author":"Kaartinen","year":"2012","journal-title":"Remote Sens."},{"key":"ref_37","doi-asserted-by":"crossref","first-page":"273","DOI":"10.1590\/01047760201925032630","article-title":"Automated individual tree detection in Amazon tropical forest from airborne laser scanning data","volume":"25","author":"Millikan","year":"2019","journal-title":"CERNE"},{"key":"ref_38","doi-asserted-by":"crossref","unstructured":"Hastings, J.H., Ollinger, S.V., Ouimette, A.P., Sanders-DeMott, R., Palace, M.W., Ducey, M.J., Sullivan, F.B., Basler, D., and Orwig, D.A. (2020). Tree species traits determine the success of LiDAR-based crown mapping in a mixed temperate forest. Remote Sens., 12.","DOI":"10.3390\/rs12020309"},{"key":"ref_39","doi-asserted-by":"crossref","first-page":"171","DOI":"10.1016\/j.isprsjprs.2020.10.016","article-title":"Individual tree detection and crown delineation from Unmanned Aircraft System (UAS) LiDAR in structurally complex mixed species eucalypt forests","volume":"171","author":"Jaskierniak","year":"2021","journal-title":"ISPRS J. Photogramm. Remote Sens."},{"key":"ref_40","doi-asserted-by":"crossref","first-page":"1236","DOI":"10.1111\/2041-210X.12575","article-title":"Tree-centric mapping of forest carbon density from airborne laser scanning and hyperspectral data","volume":"7","author":"Dalponte","year":"2016","journal-title":"Methods Ecol. Evol."},{"key":"ref_41","doi-asserted-by":"crossref","first-page":"82","DOI":"10.1080\/00049158.2008.10676274","article-title":"Achievements in forest tree improvement in Australia and New Zealand 9. Genetic improvement of Eucalyptus nitens in Australia","volume":"71","author":"Hamilton","year":"2008","journal-title":"Aust. For."},{"key":"ref_42","doi-asserted-by":"crossref","first-page":"149","DOI":"10.1111\/j.1442-8903.2005.230-7.x","article-title":"Evaluation of establishment techniques on Eucalyptus nitens and E. pauciflora in the Midlands of Tasmania","volume":"6","author":"Close","year":"2005","journal-title":"Ecol. Manag. Restor."},{"key":"ref_43","doi-asserted-by":"crossref","first-page":"143","DOI":"10.1007\/s11056-010-9189-9","article-title":"Establishment of native Eucalyptus pauciflora and exotic Eucalyptus nitens on former grazing land","volume":"40","author":"Close","year":"2010","journal-title":"New For."},{"key":"ref_44","doi-asserted-by":"crossref","first-page":"113","DOI":"10.1016\/j.foreco.2004.01.026","article-title":"Physiological regulation of productivity and water use in Eucalyptus: A review","volume":"193","author":"Whitehead","year":"2004","journal-title":"For. Ecol. Manag."},{"key":"ref_45","doi-asserted-by":"crossref","first-page":"33","DOI":"10.1016\/j.foreco.2009.09.039","article-title":"Managing productivity and drought risk in Eucalyptus globulus plantations in south-western Australia","volume":"259","author":"White","year":"2009","journal-title":"For. Ecol. Manag."},{"key":"ref_46","first-page":"17","article-title":"A Climate Analysis of the Current and Potential Future Eucalyptus Nitens and E. globulus Plantation Estate on Tasmanian State Forest","volume":"19","author":"Wardlaw","year":"2017","journal-title":"Tasforests"},{"key":"ref_47","doi-asserted-by":"crossref","first-page":"1113","DOI":"10.1111\/j.1365-2745.2012.01975.x","article-title":"Biomass partitioning and root morphology of savanna trees across a water gradient","volume":"100","author":"Tomlinson","year":"2012","journal-title":"J. Ecol."},{"key":"ref_48","doi-asserted-by":"crossref","first-page":"129","DOI":"10.1016\/j.foreco.2013.10.014","article-title":"Airborne LiDAR reveals context dependence in the effects of canopy architecture on arthropod diversity","volume":"312","author":"Bae","year":"2014","journal-title":"For. Ecol. Manag."},{"key":"ref_49","doi-asserted-by":"crossref","first-page":"169","DOI":"10.1007\/s10531-015-1044-z","article-title":"Does neighbourhood tree diversity affect the crown arthropod community in saplings?","volume":"25","author":"Setiawan","year":"2016","journal-title":"Biodivers. Conserv."},{"key":"ref_50","doi-asserted-by":"crossref","first-page":"490","DOI":"10.1016\/j.rse.2009.10.006","article-title":"Composition versus physiognomy of vegetation as predictors of bird assemblages: The role of lidar","volume":"114","author":"Stadler","year":"2010","journal-title":"Remote Sens. Environ."},{"key":"ref_51","doi-asserted-by":"crossref","first-page":"223","DOI":"10.1111\/j.1526-100X.2010.00703.x","article-title":"Bird\u2019s response to revegetation of different structure and floristics-Are \u201crestoration plantings\u201d restoring bird communities?","volume":"19","author":"Munro","year":"2011","journal-title":"Restor. Ecol."},{"key":"ref_52","doi-asserted-by":"crossref","first-page":"166","DOI":"10.1016\/j.foreco.2017.09.019","article-title":"Cover of tall trees best predicts California spotted owl habitat","volume":"405","author":"North","year":"2017","journal-title":"For. Ecol. Manag."},{"key":"ref_53","doi-asserted-by":"crossref","first-page":"242","DOI":"10.1016\/j.rse.2015.12.038","article-title":"From field surveys to LiDAR: Shining a light on how bats respond to forest structure","volume":"175","author":"Froidevaux","year":"2016","journal-title":"Remote Sens. Environ."},{"key":"ref_54","doi-asserted-by":"crossref","first-page":"367","DOI":"10.1146\/annurev-ecolsys-110512-135747","article-title":"Assisted gene flow to facilitate local adaptation to climate change","volume":"44","author":"Aitken","year":"2013","journal-title":"Annu. Rev. Ecol. Evol. Syst."},{"key":"ref_55","doi-asserted-by":"crossref","first-page":"40","DOI":"10.3389\/fevo.2015.00065","article-title":"Climate-adjusted provenancing: A strategy for climate-resilient ecological restoration","volume":"3","author":"Prober","year":"2015","journal-title":"Front. Ecol. Evol."},{"key":"ref_56","doi-asserted-by":"crossref","first-page":"102","DOI":"10.1016\/j.foreco.2016.08.017","article-title":"Effects of vegetation structure on the diversity of breeding bird communities in forest stands of non-native black pine (Pinus nigra A.) and black locust (Robinia pseudoacacia L.) in the Czech Republic","volume":"379","author":"Hanzelka","year":"2016","journal-title":"For. Ecol. Manag."},{"key":"ref_57","doi-asserted-by":"crossref","unstructured":"Chen, S., Liu, H., Feng, Z., Shen, C., and Chen, P. (2019). Applicability of personal laser scanning in forestry inventory. PLoS ONE, 14.","DOI":"10.1371\/journal.pone.0211392"},{"key":"ref_58","doi-asserted-by":"crossref","unstructured":"Vatanda\u015flar, C., and Zeybek, M. (2020). Application of handheld laser scanning technology for forest inventory purposes in the NE Turkey. Turkish J. Agric. For., 229\u2013242.","DOI":"10.3906\/tar-1903-40"}],"container-title":["Remote Sensing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2072-4292\/13\/9\/1706\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T05:54:41Z","timestamp":1760162081000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2072-4292\/13\/9\/1706"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,4,28]]},"references-count":58,"journal-issue":{"issue":"9","published-online":{"date-parts":[[2021,5]]}},"alternative-id":["rs13091706"],"URL":"https:\/\/doi.org\/10.3390\/rs13091706","relation":{},"ISSN":["2072-4292"],"issn-type":[{"value":"2072-4292","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021,4,28]]}}}