{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,12]],"date-time":"2025-10-12T03:29:46Z","timestamp":1760239786383,"version":"build-2065373602"},"reference-count":50,"publisher":"MDPI AG","issue":"1","license":[{"start":{"date-parts":[[2020,12,30]],"date-time":"2020-12-30T00:00:00Z","timestamp":1609286400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>Gaps are important for growth of vegetation on the forest floor. However, monitoring of gaps in large areas is difficult. Airborne light detection and ranging (LiDAR) data make precise gap mapping possible. We formulated a method to describe changes in gaps by time-series tracking of gap area changes using three digital canopy height models (DCHMs) based on LiDAR data collected in 2005, 2011, and 2016 over secondary deciduous broadleaf forest. We generated a mask that covered merging or splitting of gaps in the three DCHMs and allowed us to identify their spatiotemporal relationships. One-fifth of gaps merged with adjacent gaps or split into several gaps between 2005 and 2016. Gap shrinkage showed a strong linear correlation with gap area in 2005, via lateral growth of gap-edge trees between 2005 and 2016, as modeled by a linear regression analysis. New gaps that emerged between 2005 and 2011 shrank faster than gaps present in 2005. A statistical model to predict gap lifespan was developed and gap lifespan was mapped using data from 2005 and 2016. Predicted gap lifespan decreased greatly due to shrinkage and splitting of gaps between 2005 and 2016.<\/jats:p>","DOI":"10.3390\/rs13010100","type":"journal-article","created":{"date-parts":[[2020,12,30]],"date-time":"2020-12-30T20:13:41Z","timestamp":1609359221000},"page":"100","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Analysis and Prediction of Gap Dynamics in a Secondary Deciduous Broadleaf Forest of Central Japan Using Airborne Multi-LiDAR Observations"],"prefix":"10.3390","volume":"13","author":[{"given":"Kazuho","family":"Araki","sequence":"first","affiliation":[{"name":"Graduate School of Natural Science and Technology, Gifu University, 1-1, Yanagido, Gifu 501-1193, Japan"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3681-7720","authenticated-orcid":false,"given":"Yoshio","family":"Awaya","sequence":"additional","affiliation":[{"name":"River Basin Research Center, Gifu University, 1-1, Yanagido, Gifu 501-1193, Japan"}]}],"member":"1968","published-online":{"date-parts":[[2020,12,30]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"23","DOI":"10.1007\/BF00044669","article-title":"Composition, dynamics and disturbance regime of temperate deciduous forests in Monsoon Asia","volume":"121","author":"Nakashizuka","year":"1995","journal-title":"Vegetatio"},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"223","DOI":"10.1007\/BF02767114","article-title":"Forest Gap Dynamics and Tree Regeneration","volume":"5","author":"Yamamoto","year":"2000","journal-title":"J. Res."},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"73","DOI":"10.2307\/1942319","article-title":"The role of pin cherry (Prunus pensylvancia l.) in the maintenance of stability in northern hardwood ecosystems","volume":"44","author":"Marks","year":"1974","journal-title":"Ecol. Monogr."},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"31","DOI":"10.1007\/BF02347653","article-title":"Gap characteristics and gap regeneration in subalpine old-growth coniferous forests, central Japan","volume":"10","author":"Yamamoto","year":"1995","journal-title":"Ecol. Res."},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"229","DOI":"10.1007\/978-4-431-67879-3_18","article-title":"Micro-environment and growth in gaps","volume":"Volume 158","author":"Nakashizuka","year":"2002","journal-title":"Diversity and Interaction in a Temperate Forest Community: Ogawa Forest Reserve of Japan"},{"key":"ref_6","first-page":"31","article-title":"Spatial structure of hardwood forest communities-individual based approaches","volume":"46","author":"Sumita","year":"1996","journal-title":"Jpn. J. Ecol."},{"key":"ref_7","first-page":"410","article-title":"Height distribution types and regeneration traits of main tree species in Quercus serrata-Pinus densiflora secondary forest","volume":"78","author":"Ishida","year":"1996","journal-title":"J. Jpn. For. Soc."},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"167","DOI":"10.1023\/A:1009713002039","article-title":"Canopy gap formation and replacement pattern of major tree species among developmental stages of beech (Fagus crenata) stands, Japan","volume":"140","author":"Yamamoto","year":"1999","journal-title":"Plant Ecol."},{"key":"ref_9","doi-asserted-by":"crossref","unstructured":"Gendreau-Berthiaume, B., and Kneeshaw, D. (2009). Influence of Gap Size and Position within Gaps on Light Levels. Int. J. For. Res.","DOI":"10.1155\/2009\/581412"},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"841","DOI":"10.1046\/j.0022-0477.2001.00603.x","article-title":"Forest canopy and community dynamics in a temperate old-growth evergreen broad-leaved forest, south-western Japan: A 7-year study of a 4-ha plot","volume":"89","author":"Miura","year":"2001","journal-title":"J. Ecol."},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"51","DOI":"10.1007\/BF00033258","article-title":"Structure and regeneration of canopy species in an old-growth evergreen broad-leaved forest in Aya district, southwestern Japan","volume":"117","author":"Tanouchi","year":"1995","journal-title":"Vegetatio"},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"749","DOI":"10.1007\/s10342-010-0381-4","article-title":"Retrieval of forest structural parameters using LiDAR remote sensing","volume":"129","author":"Leeuwen","year":"2010","journal-title":"Eur. J. For. Res."},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"196","DOI":"10.1016\/j.rse.2012.02.001","article-title":"Lidar sampling for large-area forest characterization: A review","volume":"121","author":"Wulder","year":"2012","journal-title":"Remote Sens. Environ."},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"612","DOI":"10.1890\/0012-9658(1997)078[0612:FYOCDA]2.0.CO;2","article-title":"Fifteen years of canopy dynamics analyzed by aerial photographs in a temperate deciduous forest, Japan","volume":"78","author":"Tanaka","year":"1997","journal-title":"Ecology"},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"686","DOI":"10.1046\/j.1365-2745.2003.00796.x","article-title":"Long-term canopy dynamics analyzed by aerial photographs in a temperate old-growth evergreen broad-leaved forest","volume":"91","author":"Fujita","year":"2003","journal-title":"J. Ecol."},{"key":"ref_16","first-page":"4","article-title":"Monitoring of forest canopy using digital canopy models generated by multi-temporal aerial photographs","volume":"48","author":"Taguchi","year":"2009","journal-title":"J. Jpn. Soc. Photogramm. Remote Sens."},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.foreco.2012.07.044","article-title":"Quantification of repeated gap formation events and their spatial patterns in three types of old-growth forests: Analysis of long-term canopy dynamics using aerial photographs and digital surface models","volume":"284","author":"Torimaru","year":"2012","journal-title":"For. Ecol. Manag."},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"2326","DOI":"10.1016\/j.rse.2007.10.001","article-title":"Spatially explicit characterization of boreal forest gap dynamics using multi-temporal lidar data","volume":"112","author":"Vepakomma","year":"2008","journal-title":"Remote Sens. Environ."},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"168","DOI":"10.4005\/jjfs.96.168","article-title":"Application of laser remote sensing to forest ecological research","volume":"96","author":"Kato","year":"2014","journal-title":"J. Jpn. For. Soc."},{"key":"ref_20","unstructured":"Wulder, M.A., and Franklin, S.E. (2003). Selection of Remotely Sensed Data. Remote Sensing of Forest Environments: Concepts and Case Studies, Kluwer Academic Publishers."},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"247","DOI":"10.1007\/BF02767118","article-title":"Stand parameter estimation of artificial evergreen conifer forests using airborne images: An evaluation of seasonal difference on accuracy and best wavelength","volume":"5","author":"Awaya","year":"2000","journal-title":"J. For. Res."},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"1823","DOI":"10.1080\/01431160210144589","article-title":"Discrimination of conifer height, age and crown closure classes using Landsat-5 TM imagery in the Canadian Northwest Territories","volume":"24","author":"Franklin","year":"2003","journal-title":"Int. J. Remote Sens."},{"key":"ref_23","first-page":"117","article-title":"Monitoring of peat swamp forest using PALSAR data-A trial of double bounce correction","volume":"18","author":"Awaya","year":"2014","journal-title":"J. For. Plann."},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"646","DOI":"10.1109\/LGRS.2014.2354551","article-title":"Estimation of forest height and canopy density from a single InSAR correlation coefficient","volume":"12","author":"Soja","year":"2015","journal-title":"IEEE Geosci. Remote Sens. Lett."},{"key":"ref_25","unstructured":"Vosselman, G., and Mass, H. (2010). Laser Scanning Technology. Airborne and Terrestrial Laser Scanning, Whittles Publishing."},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"1257","DOI":"10.1111\/j.1365-2745.2012.01996.x","article-title":"Spatial contiguity and continuity of canopy gaps in mixed wood boreal forests: Persistence, expansion, shrinkage and displacement","volume":"100","author":"Vepakomma","year":"2012","journal-title":"J. Ecol."},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"99","DOI":"10.1890\/09-0896.1","article-title":"Response of a boreal forest to canopy opening: Assessing vertical and lateral tree growth with multi-temporal lidar data","volume":"21","author":"Vepakomma","year":"2011","journal-title":"Ecol. Appl."},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"526","DOI":"10.1111\/j.1365-2745.2010.01643.x","article-title":"Interactions of multiple disturbances in shaping boreal forest dynamics: A spatially explicit analysis using multi-temporal lidar data and high-resolution imagery","volume":"98","author":"Vepakomma","year":"2010","journal-title":"J. Ecol."},{"key":"ref_29","doi-asserted-by":"crossref","first-page":"101","DOI":"10.1080\/01431168508948427","article-title":"Automated measurements of terrain reflection and height variations using an airborne infrared laser system","volume":"6","author":"Schreier","year":"1985","journal-title":"Int. J. Remote Sens."},{"key":"ref_30","doi-asserted-by":"crossref","first-page":"497","DOI":"10.4005\/jjfs.87.497","article-title":"Relationship between Tree Height and Topography in a Chamaecyparis obtusa Stand Derived from Airborne Laser Scanner Data","volume":"87","author":"Hirata","year":"2005","journal-title":"J. Jpn. For. Soc."},{"key":"ref_31","doi-asserted-by":"crossref","first-page":"247","DOI":"10.1016\/0034-4257(88)90028-4","article-title":"Estimating forest biomass and volume using airborne laser data","volume":"24","author":"Nelson","year":"1988","journal-title":"Remote Sens. Environ."},{"key":"ref_32","doi-asserted-by":"crossref","first-page":"246","DOI":"10.1016\/S0034-4257(97)00041-2","article-title":"Estimating timber volume of forest stands using airborne laser scanner data","volume":"61","year":"1997","journal-title":"Remote Sens. Environ."},{"key":"ref_33","doi-asserted-by":"crossref","first-page":"83","DOI":"10.1016\/S0034-4257(98)00071-6","article-title":"Surface lidar remote sensing of basal area and biomass in deciduous forests of eastern Maryland, USA","volume":"67","author":"Lefsky","year":"1999","journal-title":"Remote Sens. Environ."},{"key":"ref_34","doi-asserted-by":"crossref","first-page":"319","DOI":"10.1016\/j.rse.2004.01.006","article-title":"Estimation of timber volume and stem density based on scanning laser altimetry and expected tree size distribution functions","volume":"90","author":"Maltamo","year":"2004","journal-title":"Remote Sens. Environ."},{"key":"ref_35","first-page":"26","article-title":"Estimating forest resources using airborne LiDAR-Application of model for estimating the stem volume of Sugi (Cryptomeria japonica D. Don) and Hinoki (Chamaecyparis obtusa Endl.) by the tree height and the parameter of crown","volume":"47","author":"Itoh","year":"2008","journal-title":"J. Jpn. Soc. Photogramm."},{"key":"ref_36","doi-asserted-by":"crossref","first-page":"1281","DOI":"10.1080\/01431160903380623","article-title":"Stand volume estimation by combining low laser-sampling density LiDAR data with QuickBird panchromatic imagery in closed-canopy Japanese cedar (Cryptomeria japonica) plantations","volume":"31","author":"Takahashi","year":"2010","journal-title":"Int. J. Remote Sens."},{"key":"ref_37","doi-asserted-by":"crossref","unstructured":"Awaya, Y., and Takahashi, T. (2017). Evaluating the differences in modeling biophysical attributes between deciduous broadleaved and evergreen conifer forests using low-density small-footprint LiDAR data. Remote Sens., 9.","DOI":"10.3390\/rs9060572"},{"key":"ref_38","doi-asserted-by":"crossref","first-page":"11225","DOI":"10.3390\/rs61111225","article-title":"Hybrid Ensemble Classification of Tree Genera Using Airborne LiDAR Data","volume":"6","author":"Ko","year":"2014","journal-title":"Remote Sens."},{"key":"ref_39","doi-asserted-by":"crossref","first-page":"224","DOI":"10.1016\/j.rse.2015.08.019","article-title":"LiDAR waveform features for tree species classification and their sensitivity to tree- and acquisition related parameters","volume":"173","author":"Hovi","year":"2016","journal-title":"Remote Sens. Environ."},{"key":"ref_40","first-page":"9","article-title":"Classification of Sugi and Hinoki using high density airborne LiDAR data and two canopy shape parameters","volume":"51","author":"Awaya","year":"2017","journal-title":"Jpn. J. For. Plann."},{"key":"ref_41","doi-asserted-by":"crossref","first-page":"149","DOI":"10.4005\/jjfs.100.149","article-title":"Development of a single tree classification method using airborne LiDAR","volume":"100","author":"Nakatake","year":"2018","journal-title":"J. Jpn. For. Soc."},{"key":"ref_42","doi-asserted-by":"crossref","first-page":"2309","DOI":"10.1016\/j.rse.2007.10.003","article-title":"Identification of gaps in mangrove forests with airborne LIDAR","volume":"112","author":"Zhang","year":"2008","journal-title":"Remote Sens. Environ."},{"key":"ref_43","doi-asserted-by":"crossref","unstructured":"Choi, H., Song, Y., and Jang, Y. (2019). Urban Forest Growth and Gap Dynamics Detected by Yearly Repeated Airborne Light Detection and Ranging (LiDAR): A Case Study of Cheonan, South Korea. Remote Sens., 11.","DOI":"10.3390\/rs11131551"},{"key":"ref_44","unstructured":"(2020, July 12). Gifu Prefecture Government Typhoon No 23 in 2004. (In Japanese)."},{"key":"ref_45","unstructured":"(2020, July 12). Snow and Ice Research Center (NIED) Snow Damage Survey in Hida area, Gifu Prefecture in December 2014\u2013Flash News. (In Japanese)."},{"key":"ref_46","first-page":"115","article-title":"Classification of forest vegetation types using LiDAR data and Quickbird images-Case study of the Daihachiga River Basin in Takayama city","volume":"28","author":"Fukuda","year":"2010","journal-title":"J. JASS"},{"key":"ref_47","unstructured":"Masaharu, H. (2011). Map Projections-Technique on Geospatial Information, Asakura Publishing Co. Ltd.. (In Japanese)."},{"key":"ref_48","unstructured":"Campbell, J.B., and Wynne, R.H. (2011). Introduction to Remote Sensing, The Guilford Press. [5th ed.]."},{"key":"ref_49","first-page":"315","article-title":"A refinement of inverse distance weighted interpolation","volume":"2","author":"Watson","year":"1985","journal-title":"Geo-Processing"},{"key":"ref_50","doi-asserted-by":"crossref","first-page":"21","DOI":"10.1007\/BF00033455","article-title":"Factors influencing sapling composition in canopy gaps of a temperate deciduous forest","volume":"120","author":"Abe","year":"1995","journal-title":"Vegetatio"}],"container-title":["Remote Sensing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2072-4292\/13\/1\/100\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T10:47:57Z","timestamp":1760179677000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2072-4292\/13\/1\/100"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,12,30]]},"references-count":50,"journal-issue":{"issue":"1","published-online":{"date-parts":[[2021,1]]}},"alternative-id":["rs13010100"],"URL":"https:\/\/doi.org\/10.3390\/rs13010100","relation":{},"ISSN":["2072-4292"],"issn-type":[{"type":"electronic","value":"2072-4292"}],"subject":[],"published":{"date-parts":[[2020,12,30]]}}}