How large is the difference in large-scale forest biomass estimations based on new climate-modified stand biomass models?

Accurate forest carbon service accounting is essential for climate change mitigation. At present, the knowledge about whether and how climate-sensitive stand biomass models could reduce the uncertainty of forest biomass/carbon estimation is lacking. Hence, the aim of this study is to develop climate...

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Autores principales:	Xiao He, Xiang-Dong Lei, Li-Hu Dong
Formato:	article
Lenguaje:	EN
Publicado:	Elsevier 2021
Materias:	Climate-sensitive stand biomass model Forecast combination Model uncertainty Carbon service Ecology QH540-549.5
Acceso en línea:	https://doaj.org/article/b00a2fe3bf1a46368be9f8b806f4d552
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spelling	oai:doaj.org-article:b00a2fe3bf1a46368be9f8b806f4d5522021-12-01T04:48:16ZHow large is the difference in large-scale forest biomass estimations based on new climate-modified stand biomass models?1470-160X10.1016/j.ecolind.2021.107569https://doaj.org/article/b00a2fe3bf1a46368be9f8b806f4d5522021-07-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S1470160X2100234Xhttps://doaj.org/toc/1470-160XAccurate forest carbon service accounting is essential for climate change mitigation. At present, the knowledge about whether and how climate-sensitive stand biomass models could reduce the uncertainty of forest biomass/carbon estimation is lacking. Hence, the aim of this study is to develop climate-sensitive stand biomass models and quantify their differences. Data containing 539 sample plots of larch plantations in northern and northeastern China were utilized to develop two basic and the corresponding climate-sensitive stand biomass models. Owing to the uncertainty from predictors, the forecast combination method was used to combine the two basic models (FCMs) and the two climate-sensitive models (CS-FCMs) and to quantify the difference in biomass estimations at the plot and regional scales. Results showed that the adjusted R2 values of the stand biomass models were greater than 0.85 and the relative root mean square errors ranged from 5.51% to 22.62%. The CS-FCMs produced more accurate biomass estimates than the FCMs. The difference in biomass estimations derived from biomass models with and without climatic variables was 411,549 tons or 0.27% at the regional scale, but the carbon value difference amounted to about $8.3 million. This study underlined the importance of accurate carbon accounting based on climate-modified stand biomass models for forest carbon management.Xiao HeXiang-Dong LeiLi-Hu DongElsevierarticleClimate-sensitive stand biomass modelForecast combinationModel uncertaintyCarbon serviceEcologyQH540-549.5ENEcological Indicators, Vol 126, Iss , Pp 107569- (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Climate-sensitive stand biomass model Forecast combination Model uncertainty Carbon service Ecology QH540-549.5
spellingShingle	Climate-sensitive stand biomass model Forecast combination Model uncertainty Carbon service Ecology QH540-549.5 Xiao He Xiang-Dong Lei Li-Hu Dong How large is the difference in large-scale forest biomass estimations based on new climate-modified stand biomass models?
description	Accurate forest carbon service accounting is essential for climate change mitigation. At present, the knowledge about whether and how climate-sensitive stand biomass models could reduce the uncertainty of forest biomass/carbon estimation is lacking. Hence, the aim of this study is to develop climate-sensitive stand biomass models and quantify their differences. Data containing 539 sample plots of larch plantations in northern and northeastern China were utilized to develop two basic and the corresponding climate-sensitive stand biomass models. Owing to the uncertainty from predictors, the forecast combination method was used to combine the two basic models (FCMs) and the two climate-sensitive models (CS-FCMs) and to quantify the difference in biomass estimations at the plot and regional scales. Results showed that the adjusted R2 values of the stand biomass models were greater than 0.85 and the relative root mean square errors ranged from 5.51% to 22.62%. The CS-FCMs produced more accurate biomass estimates than the FCMs. The difference in biomass estimations derived from biomass models with and without climatic variables was 411,549 tons or 0.27% at the regional scale, but the carbon value difference amounted to about $8.3 million. This study underlined the importance of accurate carbon accounting based on climate-modified stand biomass models for forest carbon management.
format	article
author	Xiao He Xiang-Dong Lei Li-Hu Dong
author_facet	Xiao He Xiang-Dong Lei Li-Hu Dong
author_sort	Xiao He
title	How large is the difference in large-scale forest biomass estimations based on new climate-modified stand biomass models?
title_short	How large is the difference in large-scale forest biomass estimations based on new climate-modified stand biomass models?
title_full	How large is the difference in large-scale forest biomass estimations based on new climate-modified stand biomass models?
title_fullStr	How large is the difference in large-scale forest biomass estimations based on new climate-modified stand biomass models?
title_full_unstemmed	How large is the difference in large-scale forest biomass estimations based on new climate-modified stand biomass models?
title_sort	how large is the difference in large-scale forest biomass estimations based on new climate-modified stand biomass models?
publisher	Elsevier
publishDate	2021
url	https://doaj.org/article/b00a2fe3bf1a46368be9f8b806f4d552
work_keys_str_mv	AT xiaohe howlargeisthedifferenceinlargescaleforestbiomassestimationsbasedonnewclimatemodifiedstandbiomassmodels AT xiangdonglei howlargeisthedifferenceinlargescaleforestbiomassestimationsbasedonnewclimatemodifiedstandbiomassmodels AT lihudong howlargeisthedifferenceinlargescaleforestbiomassestimationsbasedonnewclimatemodifiedstandbiomassmodels
_version_	1718405743225339904

How large is the difference in large-scale forest biomass estimations based on new climate-modified stand biomass models?

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