Matches in SemOpenAlex for { <https://semopenalex.org/work/W4220657805> ?p ?o ?g. }
- W4220657805 endingPage "054002" @default.
- W4220657805 startingPage "054002" @default.
- W4220657805 abstract "Abstract Rapid development of remote sensing and Light Detection and Ranging (LiDAR) technology has refined estimates of tree architecture and extrapolation of biomass across large spatial scales. Yet, current biomass maps show significant discrepancies and mismatch to independent ground data. A potential obstacle to accurate biomass estimation is the loss of information on wood density, which can vary at local and regional scales, in the extrapolation process. Here we investigate if variation in wood specific gravity (WSG) substantially impacts the distribution of above-ground biomass (AGB) across a range of scales from local plots to large regions. We collected wood cores and measured tree volume in 341 forest sites across large altitudinal and climatic gradients in Colombia. At all spatial scales, variation in WSG was substantial compared to variation in volume. Imputing study-wide average values of WSG induced regional biases in AGB estimates of almost 30%, consequently undervaluing the difference between forest areas of low and high average wood density. Further, neither stem size nor climate usefully predicted WSG when accounting for spatial dependencies among our sampling plots. These results suggest that remote sensing- and LiDAR-based projections to biomass estimates can be considerably improved by explicitly accounting for spatial variation in WSG, necessitating further research on the spatial distribution of WSG and potential environmental predictors to advance efficient and accurate large-scale mapping of biomass." @default.
- W4220657805 created "2022-04-03" @default.
- W4220657805 creator A5000846357 @default.
- W4220657805 creator A5008414418 @default.
- W4220657805 creator A5009312343 @default.
- W4220657805 creator A5033746983 @default.
- W4220657805 creator A5040246647 @default.
- W4220657805 creator A5040758448 @default.
- W4220657805 creator A5046356262 @default.
- W4220657805 creator A5070421326 @default.
- W4220657805 date "2022-04-19" @default.
- W4220657805 modified "2023-10-14" @default.
- W4220657805 title "Ignoring variation in wood density drives substantial bias in biomass estimates across spatial scales" @default.
- W4220657805 cites W1515756630 @default.
- W4220657805 cites W1911972113 @default.
- W4220657805 cites W1965510278 @default.
- W4220657805 cites W1986040739 @default.
- W4220657805 cites W1995602130 @default.
- W4220657805 cites W2034293169 @default.
- W4220657805 cites W2040792004 @default.
- W4220657805 cites W2049680528 @default.
- W4220657805 cites W2091308143 @default.
- W4220657805 cites W2093540905 @default.
- W4220657805 cites W2100201164 @default.
- W4220657805 cites W2102438562 @default.
- W4220657805 cites W2107474547 @default.
- W4220657805 cites W2109631166 @default.
- W4220657805 cites W2110221217 @default.
- W4220657805 cites W2113748593 @default.
- W4220657805 cites W2125706195 @default.
- W4220657805 cites W2127474289 @default.
- W4220657805 cites W2133613984 @default.
- W4220657805 cites W2136624896 @default.
- W4220657805 cites W2136830425 @default.
- W4220657805 cites W2147886550 @default.
- W4220657805 cites W2148534890 @default.
- W4220657805 cites W2149507050 @default.
- W4220657805 cites W2156582285 @default.
- W4220657805 cites W2158971682 @default.
- W4220657805 cites W2160089865 @default.
- W4220657805 cites W2164974939 @default.
- W4220657805 cites W2166394891 @default.
- W4220657805 cites W2168928730 @default.
- W4220657805 cites W2173144539 @default.
- W4220657805 cites W2318959377 @default.
- W4220657805 cites W2466959383 @default.
- W4220657805 cites W2517236683 @default.
- W4220657805 cites W2561479186 @default.
- W4220657805 cites W2563510107 @default.
- W4220657805 cites W2614464134 @default.
- W4220657805 cites W2789311531 @default.
- W4220657805 cites W2793100240 @default.
- W4220657805 cites W2802060691 @default.
- W4220657805 cites W2804910112 @default.
- W4220657805 cites W2892644468 @default.
- W4220657805 cites W2893714981 @default.
- W4220657805 cites W2913720755 @default.
- W4220657805 cites W2937163334 @default.
- W4220657805 cites W2943149949 @default.
- W4220657805 cites W2947344270 @default.
- W4220657805 cites W2948947672 @default.
- W4220657805 cites W2979653715 @default.
- W4220657805 cites W3004220838 @default.
- W4220657805 cites W3004469112 @default.
- W4220657805 cites W3027078266 @default.
- W4220657805 cites W3028181898 @default.
- W4220657805 cites W3037073985 @default.
- W4220657805 cites W3085784695 @default.
- W4220657805 cites W4300009529 @default.
- W4220657805 doi "https://doi.org/10.1088/1748-9326/ac62ae" @default.
- W4220657805 hasPublicationYear "2022" @default.
- W4220657805 type Work @default.
- W4220657805 citedByCount "0" @default.
- W4220657805 crossrefType "journal-article" @default.
- W4220657805 hasAuthorship W4220657805A5000846357 @default.
- W4220657805 hasAuthorship W4220657805A5008414418 @default.
- W4220657805 hasAuthorship W4220657805A5009312343 @default.
- W4220657805 hasAuthorship W4220657805A5033746983 @default.
- W4220657805 hasAuthorship W4220657805A5040246647 @default.
- W4220657805 hasAuthorship W4220657805A5040758448 @default.
- W4220657805 hasAuthorship W4220657805A5046356262 @default.
- W4220657805 hasAuthorship W4220657805A5070421326 @default.
- W4220657805 hasBestOaLocation W42206578051 @default.
- W4220657805 hasConcept C100970517 @default.
- W4220657805 hasConcept C105795698 @default.
- W4220657805 hasConcept C106131492 @default.
- W4220657805 hasConcept C115540264 @default.
- W4220657805 hasConcept C127313418 @default.
- W4220657805 hasConcept C132459708 @default.
- W4220657805 hasConcept C140779682 @default.
- W4220657805 hasConcept C158709400 @default.
- W4220657805 hasConcept C159390177 @default.
- W4220657805 hasConcept C159985019 @default.
- W4220657805 hasConcept C180478619 @default.
- W4220657805 hasConcept C18903297 @default.
- W4220657805 hasConcept C192562407 @default.
- W4220657805 hasConcept C204323151 @default.
- W4220657805 hasConcept C205649164 @default.