@article{fdi:010085388, title = {{S}ize-dependent intraspecific variation in wood traits has little impact on aboveground carbon estimates in a tropical forest landscape}, author = {{T}hripob, {P}. and {F}ortunel, {C}laire and {R}{\'e}jou-{M}{\'e}chain, {M}axime and {N}athalang, {A}. and {C}hanthorn, {W}.}, editor = {}, language = {{ENG}}, abstract = {{T}here is increasing evidence that intraspecific trait variation plays a role in governing rates of ecosystem functioning. {W}hile wood traits such as wood specific gravity ({WSG}) and wood carbon concentration ({WCC}) are key drivers of forest aboveground carbon ({AGC}) stocks, the sources of intraspecific variation in these wood traits and the consequences of this variation on {AGC} are poorly known, especially in the tropics. {H}ere, we investigated intraspecific variation in wood specific gravity ({WSG}) and wood carbon concentration ({WCC}) from 556 individual trees belonging to 15 species that well characterize different successional stages of seasonal evergreen forests in {S}outheast {A}sia. {S}pecifically, we tested the contribution of individual or species characteristics (tree size, growth rate and regeneration guilds) and local environmental conditions (topographic wetness index and successional stages) to intraspecific variation in {WSG} and {WCC}, and assessed the consequences of intraspecific variation in these wood traits on {AGC} estimates in 14 permanent forest plots established along a successional gradient in {K}hao {Y}ai {N}ational park, {T}hailand. {W}e found that tree size was the main driver of intraspecific variation in {WSG} and {WCC} as tree sizes increased from 10-100 cm in diameter, {WSG} increased by 7.3%, while {WCC} increased by 2.4% in heartwood, 1.6% and 2.7% in sapwood without and with volatile carbon included. {T}here was no effect of the topographic wetness and other local environment condition in wood traits led to a slight overestimation of {AGC} in young secondary forests (+0.09% to +1.29%) and a small underestimation in older forests (-0.86% to -2.87%), but overall {AGC} estimates (13 of 14 forest plots) remained within error margins (the 95% interval). {O}ur study provides evidence that tree size variation translates into intraspecific variability in wood traits, whereas local environmental conditions related to topography successional stages had no effect on wood trait variability. {W}hile size-dependent variation in {WSG} and {WCC} have largely been undocumented and thus ignored in forest carbon assessment approaches, we highlight that it has a limited impact on {AGC} estimates, indicating that it does not invalidate current forest carbon stock estimation approaches. {R}ead the free {P}lain {L}anguage {S}ummary for this article on the {J}ournal blog.}, keywords = {biomass ; carbon stock ; forest biomass ; forest succession ; relative growth ; {S}outheast {A}sia ; volatile carbon ; wood carbon concentration ; wood specific gravity ; {THAILANDE} ; {ASIE} {DU} {SUD} {EST} ; {KHAO} {YAI} {PARC} {NATIONAL}}, booktitle = {}, journal = {{F}unctional {E}cology}, volume = {[{E}arly access]}, numero = {}, pages = {[14 ]}, ISSN = {0269-8463}, year = {2022}, DOI = {10.1111/1365-2435.14124}, URL = {https://www.documentation.ird.fr/hor/fdi:010085388}, }