TY - JOUR
T1 - Field methods for sampling tree height for tropical forest biomass estimation
AU - Sullivan, Martin J. P.
AU - Lewis, Simon L.
AU - Hubau, Wannes
AU - Qie, Lan
AU - Baker, Timothy R.
AU - Banin, Lindsay F.
AU - Chave, Jerôme
AU - Cuni Sanchez, Aida
AU - Feldpausch, Ted R.
AU - Lopez-Gonzalez, Gabriela
AU - Arets, Eric
AU - Ashton, Peter
AU - Bastin, Jean-François
AU - Berry, Nicholas J.
AU - Bogaert, Jan
AU - Boot, Rene
AU - Brearley, Francis Q.
AU - Brienen, Roel
AU - Burslem, David F. R. P.
AU - de Canniere, Charles
AU - Chudomelová, Markéta
AU - Dančák, Martin
AU - Ewango, Corneille
AU - Hédl, Radim
AU - Lloyd, Jon
AU - Makana, Jean-Remy
AU - Malhi, Yadvinder
AU - Marimon, Beatriz S.
AU - Marimon Junior, Ben Hur
AU - Metali, Faizah
AU - Moore, Sam
AU - Nagy, Laszlo
AU - Núñez Vargas, Percy
AU - Pendry, Colin
AU - Ramírez-Angulo, Hirma
AU - Reitsma, Jan
AU - Rutishauser, Ervan
AU - Abu Salim, Kamariah
AU - Sonké, Bonaventure
AU - Sukri, Rahayu S.
AU - Sunderland, Terry
AU - Svátek, Martin
AU - Umunay, Peter M.
AU - Vasquez Martinez, Rodolfo
AU - Vernimmen, Ronald R. E.
AU - Vilanova Torre, Emilio
AU - Vleminckx, Jason
AU - Vos, Vincent
AU - Phillips, Oliver L.
N1 - Funding Information
Agence Nationale Des Parcs Nationaux
Tropical Forests in the Changing Earth System
FP7. Grant Number: 291585
Ideas: European Research Council. Grant Numbers: 282664, ‘AMAZALERT’, 283080, ‘GEOCARBON’
Royal Geographical Society
Ministerstvo Školství, Mládeže a Tělovýchovy. Grant Number: INGO II LG15051
Natural Environment Research Council. Grant Numbers: NE/F005806/1, NE/D005590/1, NE/N012542/1, NE/I021160/1
Gordon and Betty Moore Foundation
David and Lucile Packard Foundation
Royal Society
PY - 2018/5
Y1 - 2018/5
N2 - 1.Quantifying the relationship between tree diameter and height is a key component of efforts to estimate biomass and carbon stocks in tropical forests. Although substantial site-to-site variation in height-diameter allometries has been documented, the time consuming nature of measuring all tree heights in an inventory plot means that most studies do not include height, or else use generic pan-tropical or regional allometric equations to estimate height.2.Using a pan-tropical dataset of 73 plots where at least 150 trees had in-field ground-based height measurements, we examined how the number of trees sampled affects the performance of locally-derived height-diameter allometries, and evaluated the performance of different methods for sampling trees for height measurement.3.Using cross-validation, we found that allometries constructed with just 20 locally measured values could often predict tree height with lower error than regional or climate-based allometries (mean reduction in prediction error = 0.46 m). The predictive performance of locally-derived allometries improved with sample size, but with diminishing returns in performance gains when more than 40 trees were sampled. Estimates of stand-level biomass produced using local allometries to estimate tree height show no over- or under-estimation bias when compared with estimates using measured heights. We evaluated five strategies to sample trees for height measurement, and found that sampling strategies that included measuring the heights of the ten largest diameter trees in a plot outperformed (in terms of resulting in local height-diameter models with low height prediction error) entirely random or diameter size-class stratified approaches.4.Our results indicate that even remarkably limited sampling of heights can be used to refine height-diameter allometries. We recommend aiming for a conservative threshold of sampling 50 trees per location for height measurement, and including the ten trees with the largest diameter in this sample.This article is protected by copyright. All rights reserved.
AB - 1.Quantifying the relationship between tree diameter and height is a key component of efforts to estimate biomass and carbon stocks in tropical forests. Although substantial site-to-site variation in height-diameter allometries has been documented, the time consuming nature of measuring all tree heights in an inventory plot means that most studies do not include height, or else use generic pan-tropical or regional allometric equations to estimate height.2.Using a pan-tropical dataset of 73 plots where at least 150 trees had in-field ground-based height measurements, we examined how the number of trees sampled affects the performance of locally-derived height-diameter allometries, and evaluated the performance of different methods for sampling trees for height measurement.3.Using cross-validation, we found that allometries constructed with just 20 locally measured values could often predict tree height with lower error than regional or climate-based allometries (mean reduction in prediction error = 0.46 m). The predictive performance of locally-derived allometries improved with sample size, but with diminishing returns in performance gains when more than 40 trees were sampled. Estimates of stand-level biomass produced using local allometries to estimate tree height show no over- or under-estimation bias when compared with estimates using measured heights. We evaluated five strategies to sample trees for height measurement, and found that sampling strategies that included measuring the heights of the ten largest diameter trees in a plot outperformed (in terms of resulting in local height-diameter models with low height prediction error) entirely random or diameter size-class stratified approaches.4.Our results indicate that even remarkably limited sampling of heights can be used to refine height-diameter allometries. We recommend aiming for a conservative threshold of sampling 50 trees per location for height measurement, and including the ten trees with the largest diameter in this sample.This article is protected by copyright. All rights reserved.
KW - Allometry
KW - Carbon stocks
KW - Forest inventory
KW - Above-ground biomass estimation
KW - Forest structure
KW - Sample size
U2 - 10.1111/2041-210X.12962
DO - 10.1111/2041-210X.12962
M3 - Article
SN - 2041-210X
VL - 9
SP - 1179
EP - 1189
JO - Methods in Ecology and Evolution
JF - Methods in Ecology and Evolution
IS - 5
ER -