Non-destructive aboveground biomass estimation of Leymus chinensis individual across large scale

Monitoring how plant biomass changes with environmental conditions is critical for evaluating ecosystem carbon storage and understanding the underlying mechanisms of carbon dynamics. Usually destructive methods require a lot of time and cost. And the non-destructive methods to repeatedly estimate th...

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Autores principales:	Zhenyu Yao, Hua Qing, Liu Yang, Liqing Zhao
Formato:	article
Lenguaje:	EN
Publicado:	Elsevier 2021
Materias:	Leymus chinensis Aboveground biomass Climate factors Plant height Stem diameter Estimation equation Ecology QH540-549.5
Acceso en línea:	https://doaj.org/article/fbf6fc6eeb2f4e40921e19c787a4c9dc
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spelling	oai:doaj.org-article:fbf6fc6eeb2f4e40921e19c787a4c9dc2021-12-01T05:00:44ZNon-destructive aboveground biomass estimation of Leymus chinensis individual across large scale1470-160X10.1016/j.ecolind.2021.108212https://doaj.org/article/fbf6fc6eeb2f4e40921e19c787a4c9dc2021-11-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S1470160X21008773https://doaj.org/toc/1470-160XMonitoring how plant biomass changes with environmental conditions is critical for evaluating ecosystem carbon storage and understanding the underlying mechanisms of carbon dynamics. Usually destructive methods require a lot of time and cost. And the non-destructive methods to repeatedly estimate the biomass of herbaceous plants across large scale environmental conditions are still limited. Leymus chinensis, as an important constructive species, constitutes a unique community type in the eastern Eurasian steppe across the semi-humid, semi-arid and arid areas in the middle temperate and warm temperate zones. Therefore, it is necessary to analyze the driving factors and establish a unified estimation equation of the aboveground biomass (AGB) of L. chinensis across large scale. In this study, for the first time, we combined climatic factors and plant characteristics to analyze the individual AGB of L. chinensis in northern China, and established a non-destructive prediction model that can accurately quantify the AGB of L. chinensis across large scale in China. 33 sites across different climate conditions with L. chinensis as the constructive species in China were sampled to measure plant traits of L. chinensis individual, including leaf thickness (LT), stem diameter (SD), stem length (SL), plant height (PH), etc. We found that plant traits (PH,SD) were the main factors driving the AGB of L. chinensis individuals, and climate factors mainly affected AGB of L. chinensis individuals indirectly by affecting plant traits. Then, we established the AGB estimation equation of L. chinensis individuals across large scale for the first time. The equation was: AGB = −0.638 + 0.405SD + 0.017PH, which had a high predictive ability. The result is not only helpful to quickly and conveniently measure the AGB of L. chinensis individuals in non-destructive experiments, but also important to evaluate the productivity and carbon storage of L. chinensis community across large scale. At the same time, it also laid the foundation for the subsequent non-destructive estimation of the aboveground biomass of individual plants.Zhenyu YaoHua QingLiu YangLiqing ZhaoElsevierarticleLeymus chinensisAboveground biomassClimate factorsPlant heightStem diameterEstimation equationEcologyQH540-549.5ENEcological Indicators, Vol 131, Iss , Pp 108212- (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Leymus chinensis Aboveground biomass Climate factors Plant height Stem diameter Estimation equation Ecology QH540-549.5
spellingShingle	Leymus chinensis Aboveground biomass Climate factors Plant height Stem diameter Estimation equation Ecology QH540-549.5 Zhenyu Yao Hua Qing Liu Yang Liqing Zhao Non-destructive aboveground biomass estimation of Leymus chinensis individual across large scale
description	Monitoring how plant biomass changes with environmental conditions is critical for evaluating ecosystem carbon storage and understanding the underlying mechanisms of carbon dynamics. Usually destructive methods require a lot of time and cost. And the non-destructive methods to repeatedly estimate the biomass of herbaceous plants across large scale environmental conditions are still limited. Leymus chinensis, as an important constructive species, constitutes a unique community type in the eastern Eurasian steppe across the semi-humid, semi-arid and arid areas in the middle temperate and warm temperate zones. Therefore, it is necessary to analyze the driving factors and establish a unified estimation equation of the aboveground biomass (AGB) of L. chinensis across large scale. In this study, for the first time, we combined climatic factors and plant characteristics to analyze the individual AGB of L. chinensis in northern China, and established a non-destructive prediction model that can accurately quantify the AGB of L. chinensis across large scale in China. 33 sites across different climate conditions with L. chinensis as the constructive species in China were sampled to measure plant traits of L. chinensis individual, including leaf thickness (LT), stem diameter (SD), stem length (SL), plant height (PH), etc. We found that plant traits (PH,SD) were the main factors driving the AGB of L. chinensis individuals, and climate factors mainly affected AGB of L. chinensis individuals indirectly by affecting plant traits. Then, we established the AGB estimation equation of L. chinensis individuals across large scale for the first time. The equation was: AGB = −0.638 + 0.405SD + 0.017PH, which had a high predictive ability. The result is not only helpful to quickly and conveniently measure the AGB of L. chinensis individuals in non-destructive experiments, but also important to evaluate the productivity and carbon storage of L. chinensis community across large scale. At the same time, it also laid the foundation for the subsequent non-destructive estimation of the aboveground biomass of individual plants.
format	article
author	Zhenyu Yao Hua Qing Liu Yang Liqing Zhao
author_facet	Zhenyu Yao Hua Qing Liu Yang Liqing Zhao
author_sort	Zhenyu Yao
title	Non-destructive aboveground biomass estimation of Leymus chinensis individual across large scale
title_short	Non-destructive aboveground biomass estimation of Leymus chinensis individual across large scale
title_full	Non-destructive aboveground biomass estimation of Leymus chinensis individual across large scale
title_fullStr	Non-destructive aboveground biomass estimation of Leymus chinensis individual across large scale
title_full_unstemmed	Non-destructive aboveground biomass estimation of Leymus chinensis individual across large scale
title_sort	non-destructive aboveground biomass estimation of leymus chinensis individual across large scale
publisher	Elsevier
publishDate	2021
url	https://doaj.org/article/fbf6fc6eeb2f4e40921e19c787a4c9dc
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Non-destructive aboveground biomass estimation of Leymus chinensis individual across large scale

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