{"refrec":{"BRefID":448747,"RR":"<b>Feyen, J.; Wortel, V.; Calders, K.; Armston, J.; Van Coillie, F.</b> (2026). Characterizing mangrove forest succession in Suriname using GEDI waveform metrics. <i>Remote Sens. Environ. 334</i>: 115244. <a href=\"https://dx.doi.org/10.1016/j.rse.2026.115244\" target=\"_blank\">https://dx.doi.org/10.1016/j.rse.2026.115244</a>","BEntID":446585,"PublicFlag":1,"CheckedFlag":1,"wosflag":1,"vabbflag":1,"RefStringPartII":". <i>Remote Sens. Environ. 334</i>: 115244. <a href=\"https://dx.doi.org/10.1016/j.rse.2026.115244\" target=\"_blank\">https://dx.doi.org/10.1016/j.rse.2026.115244</a>","DocTypID":8,"DocType":"Journal article","MarineFlag":0,"FreshFlag":0,"BrackishFlag":0,"TerrestrialFlag":0,"Authorstring":"Feyen, J.; Wortel, V.; Calders, K.; Armston, J.; Van Coillie, F.","OrigTitleTranslFlag":0,"Authorstringtrunc":"Feyen, J. <i>et al.</i>","Englishabstract":"Mangroves are critical coastal ecosystems known for their carbon storage capacity, biodiversity, and role in shoreline stabilization. In Suriname, mangroves develop within a dynamic coastal setting shaped by migrating mudbanks and high sedimentation rates. This study examines how 30 structural metrics derived from the Global Ecosystem Dynamics Investigation (GEDI) vary across gradients of mangrove stand age and seaward distance. Forest stand age and yearly coastline positions were derived from Landsat time series data, enabling the inte gration of temporal and spatial drivers to uncover patterns of mangrove succession and structural development. Nonlinear growth models, more specifically the Chapman-Richards function, captured early growth and stabiliza tion phases, while Generalized Additive Models (GAMs) provided flexibility to represent more complex structural changes observed in mature and decaying stands. Results show that structural metrics related to forest growth, such as canopy height and aboveground biomass density, increase rapidly during early successional stages but plateau beyond approximately 12 years or 2 km from the coastline. Complexity-oriented metrics, such as Foliage Height Diversity (FHD) and the Waveform Structural Complexity Index (WSCI), continue to evolve, reflecting increased vertical stratification in mature stands. By combining GEDI spaceborne LiDAR with Landsat-derived chronosequences, this study demonstrates how remote sensing can be used to monitor mangrove successional trajectories and structural complexity, including in inaccessible coastal regions. Our findings extend traditional mangrove successional models by quantifying how both temporal (age) and spatial (seaward distance) gradients jointly determine mangrove structure across the Surinamese coastline.","AbstractOtherLang":null,"BibLvlCode":"AS","StandardTitle":"Characterizing mangrove forest succession in Suriname using GEDI waveform metrics","OrigTitleLangCode":"en","OrigTitleLangCodeExtended":"eng","OrigTitleLangID":15,"DateLastModified":{"date":"2026-10-16 01:39:19.897388","timezone_type":1,"timezone":"+02:00"},"AuthorKeywords":"Mangroves;gedi;Waveform LiDAR;gam;Forest structure;Succession;Biomass;Growth modeling;Generalized additive models;Chronosequences;Suriname;south-america;french-guiana;aboveground biomass;dynamics;coast;bootstrap","OtherDescriptors":null,"Notes":null,"AnaPub":2026,"MonPub":null,"DateUpdate":"2026-09-28","DateCreate":"2026-09-28","SecASFANote":null,"ConfID":null,"PeerRev":1,"VlizCoreFlag":1,"WoScode":"WOS:001674222700001","VABBcode":null,"OpenAcc":0,"DOI":"10.1016/j.rse.2026.115244"},"refs":null,"anarec":{"AnaID":448747,"PubliDate":2026,"Pagination":"115244","XtraPublOfAnaID":null,"ISBN":null,"Volume":"334","Issue":null,"BRefMon":null,"BRefMonRR":null,"BRefXtra":null,"BRefXtraRR":null,"SerBRefID":43865,"SerRR":"Remote Sensing of Environment. 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